Pick Pony Weekly Picks Recap — October 13, 2025
AI Picks Performance This Week
What a week to be a Pick Pony subscriber! Our AI systems delivered outstanding results across the board from October 6–12, with every major algorithm beating or matching the morning-line chalk baseline of 32.8%. Leading the charge, our flagship AI Best Bets posted a remarkable 36.2% win rate on top picks — clearing the chalk benchmark by more than three full percentage points — while landing in-the-money an incredible 71.4% of the time across 329 settled races. The Algo 3 (AI Win Probability) morning update was another star performer, logging a 34.7% win rate with 230 top-pick wins and a 67.7% ITM rate across 663 settled races. The AI Exacta model also punched above the chalk line at 35.0%, while racking up 74 straight exacta hits, 38 boxed exactas, 24 trifectas, and 36 boxed trifectas — a bonanza for exotic players. With a handful of races still pending across several models, those final numbers could climb even higher.
Standout Wins
The highlight reel this week is absolutely loaded with longshot fireworks. RIZZ (ML 8-1) at Mountaineer on October 11 was one of the week's most satisfying calls, showing up as a top pick across multiple AI models simultaneously — including AI Best Bets, Algo 1 morning update, Experimental Weight Set 2, Experimental Weight Set 3, Algo 3, and Algo 2 — a powerful cross-model consensus that paid off in a big way. MITCH (ML 8-1) at Indiana Downs on October 8 pulled off the same trick, appearing as a top pick across nearly every algorithm and delivering the win. On the value front, AWESOME ROAD (ML 15-1) at Albuquerque on October 10 was a jaw-dropper, picked up by both Algo 1 and the Algo 1 morning update as the top selection — and rewarding believers handsomely. MAGIC SEEKER (ML 15-1) at Keeneland on October 8 was another monster longshot call from the Algo 1 family. Meanwhile, Rhymes Like Dimes (ML 12-1) at Finger Lakes on October 12 gave Experimental Weight Set 2's morning update a gem of a finish to the week, and STRAIGHT LUCK (ML 12-1) at Delta Downs on October 9 kept the double-digit party going. These weren't lucky guesses — they were the AI doing exactly what it's built to do: finding overlooked value that the crowd misses.
Key Insights
This week reinforced a few powerful themes in how our AI models are identifying winners. First, cross-model agreement is a strong signal — horses like RIZZ, MITCH, and AKKADEVI (ML 6-1, Remington Park, October 10) appeared atop multiple independent algorithms simultaneously, and they delivered. When the AI agrees with itself across different methodologies, pay attention. Second, the morning update models consistently expanded their settled race counts and maintained strong win rates, suggesting our AI's late-breaking line adjustments are adding real value — the Algo 3 morning update jumped to 230 wins while holding a 34.7% win rate, and the Experimental Weight Set 3 morning update posted an exceptional 67.7% ITM rate with 445 in-the-money finishes across 657 settled races. Third, the week demonstrated that our models aren't just picking favorites — they're finding genuine overlay value at 4-1, 6-1, 8-1, and beyond, consistently outpacing the 32.8% chalk baseline without relying on short-priced horses to pad the numbers.
Looking Ahead
With a strong October already underway and several races still pending that could add even more wins to the tally, the momentum heading into next week is real and the AI's edge over the morning line is clear. Keep an eye on cross-model consensus picks and the morning update selections — those two signals proved especially powerful this week, and we're looking forward to another round of longshot fireworks! 🏇
Weekly Performance Summary
How each pick source's top selection finished across every graded race this week.
All 600 graded races the Algo 2 top pick ran in.
The bottom bar adds the first three together.
Show the numbers
| Group | Win rate | Races |
|---|---|---|
| Won the race | 32.5% | 600 |
| Finished 2nd | 19.8% | 600 |
| Finished 3rd | 12.7% | 600 |
| In the money | 65.0% | 600 |
Pick Pony's AI Winner models rank every horse in each race using a weighted combination of speed figures, pace analysis, trainer/jockey statistics, track bias, and dozens of other handicapping factors. Each algorithm uses a different set of optimized weights to capture different angles on the same race data. Top Pick Wins measures how often the model's #1 ranked horse won the race outright. Places and Shows count 2nd and 3rd place finishes respectively. ITM (In The Money) is the combined total of Win + Place + Show. Rates are calculated against settled races only (pending results excluded). The Exotic Wager Hits table shows how often the model's top 3 picks finished in the correct order (Exacta/Trifecta) or in any order within the top positions (Boxed Exacta/Boxed Trifecta). Morning Update rows are the same picks re-ranked after the official scratches and surface changes were applied that morning.
Algo 2 (AI Ensemble)
Several independent AI models each rank the race; the horse they agree on most is the pick.
Algo 2 (AI Ensemble) Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 195 | 32.5% |
| Top Pick Places (2nd) | 119 | 19.8% |
| Top Pick Shows (3rd) | 76 | 12.7% |
| Top Pick ITM | 390 | 65.0% |
| Pending | 25 |
Exotic Wager Hits (Algo 2 (AI Ensemble) Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 64 (13%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 47 (10%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 20 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 47 (10%) | Picks 1, 2 & 3 all finished in top 3, any order |
Algo 2 (AI Ensemble) Morning Update
The same picks re-ranked that morning after the official scratches and surface changes were applied.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 211 | 32.0% |
| Top Pick Places (2nd) | 130 | 19.7% |
| Top Pick Shows (3rd) | 84 | 12.7% |
| Top Pick ITM | 425 | 64.4% |
| Pending | 25 |
Exotic Wager Hits (Algo 2 (AI Ensemble) Morning Update)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 74 (12%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 54 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 26 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 65 (10%) | Picks 1, 2 & 3 all finished in top 3, any order |
Algo 3 (AI Win Probability)
An AI estimate of each horse's chance of winning, blended with the morning line; the most likely winner is the pick.
Algo 3 (AI Win Probability) Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 209 | 34.5% |
| Top Pick Places (2nd) | 124 | 20.5% |
| Top Pick Shows (3rd) | 80 | 13.2% |
| Top Pick ITM | 413 | 68.2% |
| Pending | 25 |
Exotic Wager Hits (Algo 3 (AI Win Probability) Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 60 (12%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 47 (10%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 22 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 44 (9%) | Picks 1, 2 & 3 all finished in top 3, any order |
Algo 3 (AI Win Probability) Morning Update
The same picks re-ranked that morning after the official scratches and surface changes were applied.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 230 | 34.7% |
| Top Pick Places (2nd) | 134 | 20.2% |
| Top Pick Shows (3rd) | 84 | 12.7% |
| Top Pick ITM | 448 | 67.7% |
| Pending | 25 |
Exotic Wager Hits (Algo 3 (AI Win Probability) Morning Update)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 73 (12%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 55 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 27 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 62 (10%) | Picks 1, 2 & 3 all finished in top 3, any order |
Algo 1
Our weighted rating: every horse is scored on speed, pace, class, form and connections, and the top score is the pick.
Algo 1 Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 177 | 29.8% |
| Top Pick Places (2nd) | 130 | 21.9% |
| Top Pick Shows (3rd) | 81 | 13.7% |
| Top Pick ITM | 388 | 65.4% |
| Pending | 25 |
Exotic Wager Hits (Algo 1 Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 43 (9%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 48 (10%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 12 (3%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 46 (10%) | Picks 1, 2 & 3 all finished in top 3, any order |
Algo 1 Morning Update
The same picks re-ranked that morning after the official scratches and surface changes were applied.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 188 | 28.9% |
| Top Pick Places (2nd) | 143 | 22.0% |
| Top Pick Shows (3rd) | 91 | 14.0% |
| Top Pick ITM | 422 | 64.8% |
| Pending | 25 |
Exotic Wager Hits (Algo 1 Morning Update)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 52 (9%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 57 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 15 (2%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 63 (10%) | Picks 1, 2 & 3 all finished in top 3, any order |
AI Exacta
The top two horses in our exotics ordering, played as a $1 straight exacta.
AI Exacta Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 211 | 35.0% |
| Top Pick Places (2nd) | 117 | 19.4% |
| Top Pick Shows (3rd) | 76 | 12.6% |
| Top Pick ITM | 404 | 67.0% |
| Pending | 25 |
Exotic Wager Hits (AI Exacta Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 74 (15%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 38 (8%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 24 (5%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 36 (7%) | Picks 1, 2 & 3 all finished in top 3, any order |
Experimental Weight Set 2
An experimental variant of the Algo 1 rating with a different weight profile, graded here to see whether it earns a place in the published ladder.
Experimental Weight Set 2 Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 200 | 33.6% |
| Top Pick Places (2nd) | 115 | 19.3% |
| Top Pick Shows (3rd) | 78 | 13.1% |
| Top Pick ITM | 393 | 65.9% |
| Pending | 25 |
Exotic Wager Hits (Experimental Weight Set 2 Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 52 (11%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 39 (8%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 15 (3%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 35 (7%) | Picks 1, 2 & 3 all finished in top 3, any order |
Experimental Weight Set 2 Morning Update
The same picks re-ranked that morning after the official scratches and surface changes were applied.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 210 | 32.2% |
| Top Pick Places (2nd) | 129 | 19.8% |
| Top Pick Shows (3rd) | 84 | 12.9% |
| Top Pick ITM | 423 | 64.8% |
| Pending | 25 |
Exotic Wager Hits (Experimental Weight Set 2 Morning Update)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 63 (10%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 49 (8%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 20 (3%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 51 (8%) | Picks 1, 2 & 3 all finished in top 3, any order |
Experimental Weight Set 3
An experimental variant of the Algo 1 rating with a different weight profile, graded here to see whether it earns a place in the published ladder.
Experimental Weight Set 3 Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 196 | 32.9% |
| Top Pick Places (2nd) | 131 | 22.0% |
| Top Pick Shows (3rd) | 77 | 12.9% |
| Top Pick ITM | 404 | 67.8% |
| Pending | 25 |
Exotic Wager Hits (Experimental Weight Set 3 Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 61 (13%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 45 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 21 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 55 (11%) | Picks 1, 2 & 3 all finished in top 3, any order |
Experimental Weight Set 3 Morning Update
The same picks re-ranked that morning after the official scratches and surface changes were applied.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 208 | 32.0% |
| Top Pick Places (2nd) | 147 | 22.6% |
| Top Pick Shows (3rd) | 86 | 13.2% |
| Top Pick ITM | 441 | 67.7% |
| Pending | 25 |
Exotic Wager Hits (Experimental Weight Set 3 Morning Update)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 71 (12%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 55 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 27 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 73 (12%) | Picks 1, 2 & 3 all finished in top 3, any order |
Ai Best Bets
Ai Best Bets Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 365 | |
| Top Pick Wins (1st) | 119 | 36.2% |
| Top Pick Places (2nd) | 78 | 23.7% |
| Top Pick Shows (3rd) | 38 | 11.6% |
| Top Pick ITM | 235 | 71.4% |
| Pending | 5 |
Exotic Wager Hits (Ai Best Bets Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 0 (—) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 0 (—) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 0 (—) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 0 (—) | Picks 1, 2 & 3 all finished in top 3, any order |
Algorithm Offtrk Ens
Algorithm Offtrk Ens Winner
The overnight top pick in every graded race, scored the night before from the official past performances.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 698 | |
| Top Pick Wins (1st) | 154 | 26.2% |
| Top Pick Places (2nd) | 117 | 19.9% |
| Top Pick Shows (3rd) | 64 | 10.9% |
| Top Pick ITM | 335 | 57.1% |
| Pending | 24 |
Exotic Wager Hits (Algorithm Offtrk Ens Winner)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 42 (9%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 31 (7%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 14 (3%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 33 (7%) | Picks 1, 2 & 3 all finished in top 3, any order |
Today’s Best Bets (AI × Expert Alignment)
The horses published in each day's Today's Best Bets post: races where the AI top pick and the expert consensus top pick were the same horse, split by how many AI models agreed.
| Agreement | Races graded | Won | 2nd | 3rd | Win % |
|---|---|---|---|---|---|
| All 3 AI models + experts | 169 | 67 | 40 | 19 | 39.6% |
| 2 of 3 AI models + experts | 84 | 34 | 13 | 10 | 40.5% |
| 1 of 3 AI models + experts | 68 | 14 | 25 | 8 | 20.6% |
| All Best Bets | 321 | 115 | 78 | 37 | 35.8% |
| Pending | 78 |
AI Longshot Picks (Kelly Edge Plays)
Longshot picks are individual horses flagged at publication time: their morning-line odds were 8-1 or greater — prices the betting public considers unlikely to win — and the model's calibrated win probability said the price overpaid. Unlike the winner models above, a longshot is not a race's top-ranked horse, so these tables count selections, not races: every flagged horse is one bet, graded on its own finish, and a single race can contribute more than one. (For the same reason there is no exotic-hits table here — an exacta or trifecta needs a ranked 1-2-3 ticket, which a set of longshot flags does not define.) There is also one longshot table rather than one per algorithm: the flag depends only on the horse's price and its calibrated edge, never on where an algorithm ranked it, so all three models publish exactly the same longshot list. Because longshots win far less frequently by definition, win rates in this section are expected to be substantially lower than the winner models above. That is normal and by design — even a modest longshot win rate of 5-10% can be highly profitable because the payoffs are dramatically larger. A $2 win bet on an 8-1 longshot returns $18. Focus on ITM rate and on the realised ROI in the Longshot Betting Strategy Simulator below rather than on raw win percentage when evaluating longshot model performance.
The horses listed in each day's Kelly Edge Plays section: 10-1 or higher on the morning line and rated a value play by our models; counted per horse, not per race.
| Metric | Count | Rate |
|---|---|---|
| Longshot Selections | 250 | |
| Races Covered | 155 | |
| Wins (1st) | 8 | 4.1% |
| Places (2nd) | 19 | 9.7% |
| Shows (3rd) | 14 | 7.2% |
| ITM | 41 | 21.0% |
| Pending | 10 |
Longshot Betting Strategy Simulator
What a flat win bet on every flagged longshot would have returned this week at each minimum-edge threshold.
Each strategy below replays the past 60 days of AI longshot picks as actual $2 mutuel bets and reports the realised return. A longer window than the rest of this report is used here on purpose: longshots are rare and extremely high-variance, so a single week's results are dominated by luck — only over a larger sample do the calibrated edge strategies separate from simply betting every longshot. Bets are deduplicated by (track, race, horse) so a horse picked by all three algorithms generates one bet, not three. Edge strategies use a calibrated win Probability (from the longshot meta-learner) and bet only when P(win) × decimal odds − 1 exceeds the listed threshold — these target overlays rather than long prices for their own sake. Hit% is the share of tickets that cashed any leg. Published longshots graded: 1902; wider 10/1-and-longer universe available to the edge rows: 14945, of which 14945 could be assigned a calibrated edge. Calibrator: out-of-sample tiered calibrator on the cross-race win Probability (lgbm_win_prob_fwd), trained through 2026-08-13; edge rows replay only the 60 days after that date, so no graded race was ever seen by the calibrator. The edge filters use only leak-free forward scores (lgbm_win_prob_fwd — captured before each race ran), so the ROIs are a genuine out-of-sample estimate — never the in-sample re-scored values that previously inflated this section. The two families are measured differently — read them separately. The raw-filter rows grade the longshots we actually published, over the full 60 days. The edge rows sweep a different population: every thoroughbred runner priced at 10/1 or longer, published or not. That matters, because being published as a longshot already requires passing an edge test — so re-applying an edge threshold to the published picks would just re-filter an already-filtered group and tell you nothing. The edge rows also cover only the most recent 60 days (14945 runners), because everything before 2026-08-13 was needed to fit the calibrator and grading it would be marking its own homework. That window widens on its own as forward scores accumulate.
| Strategy | Bets | Tickets Cashed | Stake | Payout |
|---|---|---|---|---|
| $2 WIN — all longshots | 1902 | 101 (5.3%) | $3804.00 | $2154.18 |
| $2 PLACE — all longshots | 1902 | 258 (13.6%) | $3804.00 | $2480.68 |
| $2 SHOW — all longshots | 1902 | 423 (22.2%) | $3804.00 | $2422.46 |
| $2 WIN + $2 PLACE | 1902 | 258 (13.6%) | $7608.00 | $4634.86 |
| $2 WIN — ML ≥ 15/1 | 1418 | 62 (4.4%) | $2836.00 | $1678.22 |
| $2 WIN — ML ≥ 20/1 | 1061 | 34 (3.2%) | $2122.00 | $1185.22 |
| $2 WIN — field ≥ 8 | 1521 | 73 (4.8%) | $3042.00 | $1790.36 |
| $2 WIN — edge ≥ 5% | 8140 | 470 (5.8%) | $16280.00 | $10742.34 |
| $2 WIN — edge ≥ 10% | 7875 | 458 (5.8%) | $15750.00 | $10432.88 |
| $2 WIN — edge ≥ 20% | 2136 | 114 (5.3%) | $4272.00 | $2852.60 |
| $2 WIN — edge ≥ 30% | 1330 | 62 (4.7%) | $2660.00 | $1458.24 |
| $2 WIN — edge ≥ 40% | 1125 | 57 (5.1%) | $2250.00 | $1221.04 |
| $2 WIN — edge ≥ 50% | 952 | 52 (5.5%) | $1904.00 | $901.00 |
| $2 WIN — edge ≥ 60% | 928 | 49 (5.3%) | $1856.00 | $873.80 |
| $2 WIN — edge ≥ 70% | 799 | 39 (4.9%) | $1598.00 | $675.46 |
| $2 WIN — edge ≥ 80% | 509 | 22 (4.3%) | $1018.00 | $327.68 |
| $2 WIN — edge ≥ 90% | 377 | 16 (4.2%) | $754.00 | $229.08 |
| $2 WIN — edge ≥ 100% | 263 | 11 (4.2%) | $526.00 | $159.08 |
| $2 WIN — edge ≥ 10% AND field ≥ 8 | 4888 | 247 (5.1%) | $9776.00 | $6471.46 |
Trifecta Structure Plays (AI Exotics)
The Trifecta line from each day's AI Exotics section: key the top pick to win over the next three horses (six combinations per race); the tag shows whether the race shape looked playable.
Each AI Predictions post suggests one trifecta structure per race: the Algo 3 top pick to win, with its next three ranked horses boxed for 2nd and 3rd (6 combinations). Races our race-shape model rates most favorable are tagged ⭐ Best Bet in the post. This table grades last week's published plays against the actual trifecta payoffs at each track's real wager minimum — no assumptions, no hindsight.
| Plays graded | 395 |
| Trifectas hit | 56 (14.2%) |
| Total staked | $1,547.40 |
| Total returned | $1,342.29 |
278 race(s) skipped for scratches inside the top four; 25 skipped where the track's trifecta minimum wasn't recorded. Per-race wager minimums have been captured since July 4, 2026, so this ledger grows more complete each week.
Benchmark: The Morning-Line Favorite
What betting the morning-line favorite in every race would have returned: the baseline every pick source has to beat.
The simplest possible strategy is to always bet the morning-line favorite — the "chalk." This table shows how that baseline performed across the same thoroughbred races this week, so you can judge the AI's win rates against what the public's top choice delivered. Beating the chalk consistently is the real test of any handicapping model.
| Metric | Count | Rate |
|---|---|---|
| Settled Races | 713 | |
| Favorite Wins (1st) | 234 | 32.8% |
| Favorite Places (2nd) | 148 | 20.8% |
| Favorite Shows (3rd) | 88 | 12.3% |
| Favorite ITM | 470 | 65.9% |
Consensus Expert Picks
Picks from more than twenty-five published handicappers, weighted into one consensus selection per race.
Consensus Expert Picks are derived from multiple independent handicapping sources. Each source submits their top picks per race, and the consensus ranking is built by scoring each horse: 4 points for a 1st-place pick, 3 for 2nd, 2 for 3rd, and 1 for 4th. The horse with the highest total score becomes the consensus top pick. Agreement % measures what share of experts included a horse in their picks — higher agreement signals stronger conviction across sources. The Win/Place/Show/ITM and Exotic stats below measure how the consensus top pick actually performed on race day.
| Metric | Count | Rate |
|---|---|---|
| Total Races | 715 | |
| Top Pick Wins (1st) | 171 | 29.8% |
| Top Pick Places (2nd) | 115 | 20.1% |
| Top Pick Shows (3rd) | 79 | 13.8% |
| Top Pick ITM | 365 | 63.7% |
| Pending | 142 |
Exotic Wager Hits (Consensus Top 3 Picks)
How often the source's top three finished 1-2-3, counted as straight and boxed exactas and trifectas.
| Wager Type | Hits (rate of playable races) | Description |
|---|---|---|
| Exacta | 37 (8%) | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 40 (9%) | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 17 (4%) | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 33 (7%) | Picks 1, 2 & 3 all finished in top 3, any order |
Performance by Breed
The same results split by thoroughbred and quarter horse races, which are handicapped differently.
Top-pick win rates vary dramatically by breed. Thoroughbred (TB) racing is the most form-driven and predictable, while Quarter Horse (QH) and Arabian (AR) sprints are decided in a few hundred yards and are far more chaotic — they naturally produce lower win rates. Because the summary above blends all breeds together, this table separates them so each breed's true performance is visible. W/P/S are wins, places (2nd), and shows (3rd), with the percentage of settled races in parentheses. ITM is the In-The-Money total (Win + Place + Show). EX/BEX/TRI/BTRI are exacta, boxed-exacta, trifecta, and boxed-trifecta hits on the top picks. Longshot rows count individual flagged selections rather than races (a race can contribute more than one), and show dashes for the exotic columns because those wagers need a ranked 1-2-3 ticket.
Thoroughbred
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 698 | 195 (32%) | 119 (20%) | 76 (13%) | 390 (65%) | 64 (13%) | 47 (10%) | 20 (4%) | 47 (10%) |
| Algo 3 Winner | 698 | 209 (34%) | 124 (20%) | 80 (13%) | 413 (68%) | 60 (12%) | 47 (10%) | 22 (4%) | 44 (9%) |
| Algo 1 Winner | 698 | 177 (30%) | 130 (22%) | 81 (14%) | 388 (65%) | 43 (9%) | 48 (10%) | 12 (3%) | 46 (10%) |
| Experimental Weight Set 2 Winner | 698 | 200 (34%) | 115 (19%) | 78 (13%) | 393 (66%) | 52 (11%) | 39 (8%) | 15 (3%) | 35 (7%) |
| Experimental Weight Set 3 Winner | 698 | 196 (33%) | 131 (22%) | 77 (13%) | 404 (68%) | 61 (13%) | 45 (9%) | 21 (4%) | 55 (11%) |
| AI Longshot | 250 | 8 (4%) | 19 (10%) | 14 (7%) | 41 (21%) | — | — | — | — |
Performance by Track
The same results split by track, to show where each source is strongest and weakest.
The tables below break down each pick source's performance at individual tracks. W/P/S show the number of wins, places (2nd), and shows (3rd) with the percentage of settled races in parentheses. ITM is the combined In The Money total (Win + Place + Show). EX (Exacta) counts races where the top 2 picks finished 1st and 2nd in exact order. BEX (Boxed Exacta) counts races where the top 2 picks both finished in the top 2 in either order. TRI (Trifecta) and BTRI (Boxed Trifecta) apply the same logic to the top 3 picks finishing in the top 3 positions. Longshot rows count individual flagged selections rather than races (a race can contribute more than one) and show dashes in the exotic columns, because those wagers need a ranked 1-2-3 ticket that a per-horse longshot flag does not define. Algo 1 is the weighted rating, Algo 2 the AI Ensemble and Algo 3 the AI Win Probability model — ordered by measured performance, so a higher number should be the stronger source; the Weight Set rows are experimental profiles graded as shadows. Comparing sources at a specific track helps identify which is strongest for that venue. The ML Favorite (chalk) row shows how the morning-line favorite performed in that track's thoroughbred races — the baseline any pick source needs to beat to be adding value at that venue.
AJX
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 14 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
ALB
AI Picks posts graded here: Wed 10/7 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 18 | 7 (47%) | 2 (13%) | 1 (7%) | 10 (67%) | 2 (13%) | 1 (7%) | 1 (7%) | 0 (0%) |
| Algo 3 Winner | 18 | 9 (53%) | 2 (12%) | 3 (18%) | 14 (82%) | 1 (7%) | 1 (7%) | 0 (0%) | 1 (7%) |
| Algo 1 Winner | 18 | 3 (19%) | 6 (38%) | 2 (12%) | 11 (69%) | 1 (7%) | 1 (7%) | 0 (0%) | 2 (14%) |
| Experimental Weight Set 2 Winner | 18 | 7 (41%) | 4 (24%) | 1 (6%) | 12 (71%) | 0 (0%) | 2 (14%) | 0 (0%) | 2 (14%) |
| Experimental Weight Set 3 Winner | 18 | 6 (38%) | 3 (19%) | 1 (6%) | 10 (62%) | 0 (0%) | 2 (13%) | 0 (0%) | 2 (13%) |
| AI Longshot | 3 | 0 (0%) | 1 (50%) | 0 (0%) | 1 (50%) | — | — | — | — |
| Expert Consensus | 36 | 5 (15%) | 6 (18%) | 9 (26%) | 20 (59%) | 1 (3%) | 0 (0%) | 0 (0%) | 1 (3%) |
| ML Favorite (chalk) | 18 | 6 (33%) | 3 (17%) | 2 (11%) | 11 (61%) | — | — | — | — |
ASD
AI Picks posts graded here: Wed 10/7
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 8 | 2 (25%) | 1 (12%) | 3 (38%) | 6 (75%) | 1 (20%) | 1 (20%) | 1 (20%) | 2 (40%) |
| Algo 3 Winner | 8 | 1 (12%) | 1 (12%) | 4 (50%) | 6 (75%) | 0 (0%) | 0 (0%) | 0 (0%) | 2 (40%) |
| Algo 1 Winner | 8 | 2 (25%) | 1 (12%) | 3 (38%) | 6 (75%) | 1 (17%) | 1 (17%) | 1 (17%) | 1 (17%) |
| Experimental Weight Set 2 Winner | 8 | 2 (25%) | 1 (12%) | 3 (38%) | 6 (75%) | 1 (20%) | 1 (20%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 8 | 2 (25%) | 1 (12%) | 3 (38%) | 6 (75%) | 1 (25%) | 1 (25%) | 1 (25%) | 0 (0%) |
| AI Longshot | 4 | 0 (0%) | 1 (33%) | 1 (33%) | 2 (67%) | — | — | — | — |
| Expert Consensus | 16 | 6 (38%) | 1 (6%) | 3 (19%) | 10 (62%) | 2 (12%) | 0 (0%) | 2 (12%) | 1 (6%) |
| ML Favorite (chalk) | 8 | 2 (25%) | 1 (12%) | 3 (38%) | 6 (75%) | — | — | — | — |
BEL
AI Picks posts graded here: Wed 10/7 · Thu 10/8 · Fri 10/9 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 47 | 14 (33%) | 8 (19%) | 4 (10%) | 26 (62%) | 7 (19%) | 0 (0%) | 1 (3%) | 1 (3%) |
| Algo 3 Winner | 47 | 13 (30%) | 9 (20%) | 5 (11%) | 27 (61%) | 3 (8%) | 0 (0%) | 1 (3%) | 0 (0%) |
| Algo 1 Winner | 47 | 13 (31%) | 11 (26%) | 2 (5%) | 26 (62%) | 3 (9%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 47 | 14 (34%) | 9 (22%) | 2 (5%) | 25 (61%) | 2 (6%) | 1 (3%) | 1 (3%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 47 | 12 (28%) | 10 (23%) | 5 (12%) | 27 (63%) | 3 (8%) | 0 (0%) | 1 (3%) | 1 (3%) |
| AI Longshot | 26 | 0 (0%) | 1 (5%) | 0 (0%) | 1 (5%) | — | — | — | — |
| Expert Consensus | 37 | 8 (24%) | 3 (9%) | 7 (21%) | 18 (53%) | 2 (6%) | 1 (3%) | 1 (3%) | 0 (0%) |
| ML Favorite (chalk) | 47 | 13 (28%) | 10 (21%) | 3 (6%) | 26 (55%) | — | — | — | — |
BTP
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Thu 10/8 · Fri 10/9 · Sat 10/10 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 48 | 9 (21%) | 11 (26%) | 8 (19%) | 28 (65%) | 5 (16%) | 5 (16%) | 2 (6%) | 5 (16%) |
| Algo 3 Winner | 48 | 15 (35%) | 14 (33%) | 5 (12%) | 34 (79%) | 5 (17%) | 7 (23%) | 3 (10%) | 7 (23%) |
| Algo 1 Winner | 48 | 12 (29%) | 9 (22%) | 10 (24%) | 31 (76%) | 4 (12%) | 5 (15%) | 3 (9%) | 6 (18%) |
| Experimental Weight Set 2 Winner | 48 | 11 (26%) | 7 (17%) | 11 (26%) | 29 (69%) | 6 (18%) | 1 (3%) | 3 (9%) | 6 (18%) |
| Experimental Weight Set 3 Winner | 48 | 14 (33%) | 9 (21%) | 9 (21%) | 32 (74%) | 6 (19%) | 4 (12%) | 4 (12%) | 8 (25%) |
| AI Longshot | 6 | 0 (0%) | 0 (0%) | 1 (20%) | 1 (20%) | — | — | — | — |
| Expert Consensus | 48 | 14 (34%) | 7 (17%) | 9 (22%) | 30 (73%) | 5 (12%) | 0 (0%) | 2 (5%) | 5 (12%) |
| ML Favorite (chalk) | 48 | 17 (35%) | 12 (25%) | 6 (12%) | 35 (73%) | — | — | — | — |
CTD
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 8 | 4 (50%) | 1 (12%) | 1 (12%) | 6 (75%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 8 | 5 (62%) | 2 (25%) | 0 (0%) | 7 (88%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (12%) |
| Algo 1 Winner | 8 | 4 (57%) | 2 (29%) | 0 (0%) | 6 (86%) | 1 (17%) | 0 (0%) | 0 (0%) | 1 (17%) |
| Experimental Weight Set 2 Winner | 8 | 4 (50%) | 1 (12%) | 0 (0%) | 5 (62%) | 1 (14%) | 0 (0%) | 0 (0%) | 1 (14%) |
| Experimental Weight Set 3 Winner | 8 | 4 (50%) | 3 (38%) | 0 (0%) | 7 (88%) | 0 (0%) | 1 (12%) | 0 (0%) | 2 (25%) |
| AI Longshot | 4 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| ML Favorite (chalk) | 8 | 4 (50%) | 1 (12%) | 1 (12%) | 6 (75%) | — | — | — | — |
CTM
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 15 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
CTX
AI Picks posts graded here: Thu 10/8 · Fri 10/9 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 26 | 9 (36%) | 3 (12%) | 6 (24%) | 18 (72%) | 4 (19%) | 2 (10%) | 0 (0%) | 2 (10%) |
| Algo 3 Winner | 26 | 11 (44%) | 3 (12%) | 4 (16%) | 18 (72%) | 4 (19%) | 1 (5%) | 0 (0%) | 3 (14%) |
| Algo 1 Winner | 26 | 11 (42%) | 2 (8%) | 5 (19%) | 18 (69%) | 4 (20%) | 1 (5%) | 1 (5%) | 2 (10%) |
| Experimental Weight Set 2 Winner | 26 | 12 (48%) | 1 (4%) | 6 (24%) | 19 (76%) | 6 (27%) | 0 (0%) | 1 (5%) | 2 (9%) |
| Experimental Weight Set 3 Winner | 26 | 10 (42%) | 2 (8%) | 5 (21%) | 17 (71%) | 6 (29%) | 0 (0%) | 1 (5%) | 2 (10%) |
| AI Longshot | 17 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 26 | 9 (36%) | 2 (8%) | 5 (20%) | 16 (64%) | 2 (8%) | 2 (8%) | 0 (0%) | 3 (12%) |
| ML Favorite (chalk) | 26 | 10 (38%) | 2 (8%) | 7 (27%) | 19 (73%) | — | — | — | — |
DED
AI Picks posts graded here: Fri 10/9 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 18 | 7 (44%) | 3 (19%) | 2 (12%) | 12 (75%) | 2 (17%) | 2 (17%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 18 | 10 (62%) | 2 (12%) | 1 (6%) | 13 (81%) | 4 (33%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 1 Winner | 18 | 6 (43%) | 3 (21%) | 1 (7%) | 10 (71%) | 0 (0%) | 1 (11%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 18 | 7 (47%) | 2 (13%) | 1 (7%) | 10 (67%) | 1 (10%) | 0 (0%) | 0 (0%) | 1 (10%) |
| Experimental Weight Set 3 Winner | 18 | 8 (50%) | 2 (12%) | 2 (12%) | 12 (75%) | 1 (10%) | 1 (10%) | 0 (0%) | 1 (10%) |
| AI Longshot | 7 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| ML Favorite (chalk) | 18 | 5 (28%) | 4 (22%) | 5 (28%) | 14 (78%) | — | — | — | — |
DEL
AI Picks posts graded here: Wed 10/7 · Thu 10/8 · Fri 10/9 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 35 | 11 (35%) | 5 (16%) | 5 (16%) | 21 (68%) | 3 (14%) | 1 (5%) | 0 (0%) | 3 (14%) |
| Algo 3 Winner | 35 | 8 (28%) | 5 (17%) | 6 (21%) | 19 (66%) | 2 (8%) | 1 (4%) | 0 (0%) | 4 (17%) |
| Algo 1 Winner | 35 | 10 (34%) | 6 (21%) | 2 (7%) | 18 (62%) | 1 (5%) | 2 (9%) | 0 (0%) | 4 (18%) |
| Experimental Weight Set 2 Winner | 35 | 10 (37%) | 5 (19%) | 4 (15%) | 19 (70%) | 3 (17%) | 1 (6%) | 0 (0%) | 2 (11%) |
| Experimental Weight Set 3 Winner | 35 | 9 (30%) | 7 (23%) | 4 (13%) | 20 (67%) | 1 (5%) | 2 (10%) | 0 (0%) | 3 (14%) |
| AI Longshot | 10 | 0 (0%) | 2 (25%) | 1 (12%) | 3 (38%) | — | — | — | — |
| Expert Consensus | 17 | 2 (12%) | 4 (24%) | 1 (6%) | 7 (41%) | 1 (6%) | 1 (6%) | 1 (6%) | 1 (6%) |
| ML Favorite (chalk) | 35 | 15 (43%) | 5 (14%) | 4 (11%) | 24 (69%) | — | — | — | — |
EQB
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 3 Winner | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 1 Winner | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 2 Winner | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 3 Winner | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
EQK
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 5 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 3 Winner | 5 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 1 Winner | 5 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 2 Winner | 5 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 3 Winner | 5 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| AI Longshot | 3 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | — | — | — | — |
EVD
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 28 | 8 (29%) | 3 (11%) | 5 (18%) | 16 (57%) | 1 (4%) | 1 (4%) | 1 (4%) | 2 (7%) |
FEX
AI Picks posts graded here: Tue 10/6 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 12 | 4 (36%) | 2 (18%) | 0 (0%) | 6 (55%) | 2 (20%) | 1 (10%) | 1 (10%) | 0 (0%) |
| Algo 3 Winner | 12 | 4 (36%) | 3 (27%) | 0 (0%) | 7 (64%) | 1 (10%) | 0 (0%) | 1 (10%) | 0 (0%) |
| Algo 1 Winner | 12 | 5 (42%) | 2 (17%) | 0 (0%) | 7 (58%) | 0 (0%) | 1 (10%) | 0 (0%) | 1 (10%) |
| Experimental Weight Set 2 Winner | 12 | 6 (50%) | 2 (17%) | 0 (0%) | 8 (67%) | 1 (10%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 12 | 5 (42%) | 3 (25%) | 0 (0%) | 8 (67%) | 0 (0%) | 2 (20%) | 0 (0%) | 1 (10%) |
| Expert Consensus | 12 | 3 (25%) | 3 (25%) | 3 (25%) | 9 (75%) | 0 (0%) | 1 (8%) | 0 (0%) | 1 (8%) |
| ML Favorite (chalk) | 12 | 4 (33%) | 2 (17%) | 1 (8%) | 7 (58%) | — | — | — | — |
FLX
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 25 | 11 (48%) | 6 (26%) | 2 (9%) | 19 (83%) | 5 (24%) | 2 (10%) | 1 (5%) | 2 (10%) |
| Algo 3 Winner | 25 | 12 (50%) | 5 (21%) | 3 (12%) | 20 (83%) | 5 (24%) | 3 (14%) | 2 (10%) | 4 (19%) |
| Algo 1 Winner | 25 | 5 (23%) | 6 (27%) | 3 (14%) | 14 (64%) | 2 (10%) | 4 (19%) | 1 (5%) | 2 (10%) |
| Experimental Weight Set 2 Winner | 25 | 8 (33%) | 7 (29%) | 3 (12%) | 18 (75%) | 3 (15%) | 2 (10%) | 2 (10%) | 2 (10%) |
| Experimental Weight Set 3 Winner | 25 | 11 (48%) | 5 (22%) | 3 (13%) | 19 (83%) | 6 (29%) | 3 (14%) | 2 (10%) | 2 (10%) |
| AI Longshot | 3 | 0 (0%) | 1 (33%) | 0 (0%) | 1 (33%) | — | — | — | — |
| Expert Consensus | 25 | 14 (58%) | 6 (25%) | 0 (0%) | 20 (83%) | 7 (29%) | 1 (4%) | 2 (8%) | 0 (0%) |
| ML Favorite (chalk) | 25 | 9 (36%) | 9 (36%) | 2 (8%) | 20 (80%) | — | — | — | — |
FPK
AI Picks posts graded here: Tue 10/6 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 16 | 4 (27%) | 5 (33%) | 3 (20%) | 12 (80%) | 1 (7%) | 3 (21%) | 1 (7%) | 3 (21%) |
| Algo 3 Winner | 16 | 5 (33%) | 4 (27%) | 2 (13%) | 11 (73%) | 2 (15%) | 3 (23%) | 2 (15%) | 0 (0%) |
| Algo 1 Winner | 16 | 5 (31%) | 4 (25%) | 2 (12%) | 11 (69%) | 1 (7%) | 4 (27%) | 1 (7%) | 2 (13%) |
| Experimental Weight Set 2 Winner | 16 | 7 (44%) | 3 (19%) | 2 (12%) | 12 (75%) | 2 (13%) | 1 (7%) | 1 (7%) | 2 (13%) |
| Experimental Weight Set 3 Winner | 16 | 4 (25%) | 6 (38%) | 2 (12%) | 12 (75%) | 1 (7%) | 4 (29%) | 1 (7%) | 3 (21%) |
| AI Longshot | 9 | 0 (0%) | 0 (0%) | 1 (14%) | 1 (14%) | — | — | — | — |
| Expert Consensus | 16 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| ML Favorite (chalk) | 16 | 5 (31%) | 5 (31%) | 2 (12%) | 12 (75%) | — | — | — | — |
GPX
AI Picks posts graded here: Fri 10/9 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 28 | 9 (38%) | 4 (17%) | 2 (8%) | 15 (62%) | 3 (15%) | 1 (5%) | 1 (5%) | 1 (5%) |
| Algo 3 Winner | 28 | 10 (38%) | 4 (15%) | 3 (12%) | 17 (65%) | 4 (19%) | 1 (5%) | 1 (5%) | 0 (0%) |
| Algo 1 Winner | 28 | 7 (28%) | 4 (16%) | 4 (16%) | 15 (60%) | 2 (11%) | 2 (11%) | 1 (6%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 28 | 10 (40%) | 4 (16%) | 1 (4%) | 15 (60%) | 2 (10%) | 1 (5%) | 1 (5%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 28 | 12 (46%) | 5 (19%) | 1 (4%) | 18 (69%) | 3 (14%) | 1 (5%) | 2 (10%) | 1 (5%) |
| AI Longshot | 7 | 0 (0%) | 1 (25%) | 0 (0%) | 1 (25%) | — | — | — | — |
| Expert Consensus | 46 | 9 (36%) | 8 (32%) | 1 (4%) | 18 (72%) | 1 (4%) | 5 (20%) | 0 (0%) | 1 (4%) |
| ML Favorite (chalk) | 28 | 12 (43%) | 2 (7%) | 1 (4%) | 15 (54%) | — | — | — | — |
GRP
AI Picks posts graded here: Sun 10/11 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 14 | 5 (38%) | 2 (15%) | 0 (0%) | 7 (54%) | 2 (20%) | 0 (0%) | 2 (20%) | 0 (0%) |
| Algo 3 Winner | 14 | 4 (29%) | 3 (21%) | 0 (0%) | 7 (50%) | 1 (10%) | 1 (10%) | 1 (10%) | 1 (10%) |
| Algo 1 Winner | 14 | 4 (33%) | 3 (25%) | 0 (0%) | 7 (58%) | 1 (9%) | 1 (9%) | 0 (0%) | 1 (9%) |
| Experimental Weight Set 2 Winner | 14 | 5 (38%) | 2 (15%) | 0 (0%) | 7 (54%) | 1 (10%) | 1 (10%) | 0 (0%) | 1 (10%) |
| Experimental Weight Set 3 Winner | 14 | 3 (25%) | 3 (25%) | 0 (0%) | 6 (50%) | 1 (10%) | 1 (10%) | 0 (0%) | 0 (0%) |
| AI Longshot | 2 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| ML Favorite (chalk) | 14 | 5 (36%) | 2 (14%) | 1 (7%) | 8 (57%) | — | — | — | — |
GVX
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 3 | 1 (50%) | 0 (0%) | 1 (50%) | 2 (100%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 3 | 1 (33%) | 0 (0%) | 2 (67%) | 3 (100%) | 0 (0%) | 0 (0%) | 0 (0%) | 1 (50%) |
| Algo 1 Winner | 3 | 0 (0%) | 0 (0%) | 1 (50%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 3 | 2 (67%) | 0 (0%) | 0 (0%) | 2 (67%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 3 | 0 (0%) | 0 (0%) | 1 (50%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
IND
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Thu 10/8 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 32 | 8 (31%) | 1 (4%) | 4 (15%) | 13 (50%) | 1 (6%) | 0 (0%) | 0 (0%) | 1 (6%) |
| Algo 3 Winner | 32 | 9 (36%) | 3 (12%) | 1 (4%) | 13 (52%) | 1 (5%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 1 Winner | 32 | 7 (26%) | 2 (7%) | 5 (19%) | 14 (52%) | 1 (6%) | 0 (0%) | 0 (0%) | 1 (6%) |
| Experimental Weight Set 2 Winner | 32 | 7 (28%) | 1 (4%) | 3 (12%) | 11 (44%) | 1 (6%) | 0 (0%) | 0 (0%) | 1 (6%) |
| Experimental Weight Set 3 Winner | 32 | 8 (31%) | 4 (15%) | 4 (15%) | 16 (62%) | 1 (6%) | 0 (0%) | 0 (0%) | 1 (6%) |
| AI Longshot | 24 | 5 (26%) | 1 (5%) | 0 (0%) | 6 (32%) | — | — | — | — |
| Expert Consensus | 37 | 8 (27%) | 6 (20%) | 5 (17%) | 19 (63%) | 0 (0%) | 2 (7%) | 0 (0%) | 3 (10%) |
| ML Favorite (chalk) | 32 | 7 (22%) | 5 (16%) | 4 (12%) | 16 (50%) | — | — | — | — |
KEE
AI Picks posts graded here: Wed 10/7 · Thu 10/8 · Fri 10/9 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 47 | 9 (23%) | 8 (21%) | 5 (13%) | 22 (56%) | 2 (7%) | 1 (3%) | 1 (3%) | 3 (10%) |
| Algo 3 Winner | 47 | 10 (26%) | 5 (13%) | 8 (21%) | 23 (59%) | 1 (4%) | 2 (7%) | 1 (4%) | 3 (11%) |
| Algo 1 Winner | 47 | 12 (30%) | 6 (15%) | 6 (15%) | 24 (60%) | 1 (4%) | 0 (0%) | 0 (0%) | 2 (7%) |
| Experimental Weight Set 2 Winner | 47 | 13 (32%) | 4 (10%) | 7 (18%) | 24 (60%) | 2 (7%) | 1 (3%) | 0 (0%) | 1 (3%) |
| Experimental Weight Set 3 Winner | 47 | 10 (26%) | 7 (18%) | 8 (21%) | 25 (64%) | 1 (3%) | 2 (7%) | 1 (3%) | 2 (7%) |
| AI Longshot | 48 | 1 (2%) | 4 (10%) | 4 (10%) | 9 (22%) | — | — | — | — |
| Expert Consensus | 47 | 9 (22%) | 8 (20%) | 7 (17%) | 24 (59%) | 1 (2%) | 3 (7%) | 0 (0%) | 1 (2%) |
| ML Favorite (chalk) | 47 | 9 (19%) | 8 (17%) | 8 (17%) | 25 (53%) | — | — | — | — |
LAX
AI Picks posts graded here: Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 5 | 3 (60%) | 0 (0%) | 1 (20%) | 4 (80%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 5 | 2 (50%) | 0 (0%) | 1 (25%) | 3 (75%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Algo 1 Winner | 5 | 4 (80%) | 0 (0%) | 1 (20%) | 5 (100%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 5 | 3 (60%) | 0 (0%) | 1 (20%) | 4 (80%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 5 | 3 (60%) | 0 (0%) | 1 (20%) | 4 (80%) | 1 (50%) | 0 (0%) | 0 (0%) | 0 (0%) |
| AI Longshot | 1 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| ML Favorite (chalk) | 5 | 3 (60%) | 0 (0%) | 1 (20%) | 4 (80%) | — | — | — | — |
LBG
AI Picks posts graded here: Sat 10/10 · Sun 10/11 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 15 | 4 (29%) | 6 (43%) | 1 (7%) | 11 (79%) | 1 (10%) | 3 (30%) | 1 (10%) | 3 (30%) |
| Algo 3 Winner | 15 | 4 (31%) | 6 (46%) | 2 (15%) | 12 (92%) | 2 (20%) | 3 (30%) | 2 (20%) | 2 (20%) |
| Algo 1 Winner | 15 | 4 (31%) | 6 (46%) | 0 (0%) | 10 (77%) | 0 (0%) | 1 (12%) | 0 (0%) | 1 (12%) |
| Experimental Weight Set 2 Winner | 15 | 6 (43%) | 5 (36%) | 1 (7%) | 12 (86%) | 5 (50%) | 3 (30%) | 1 (10%) | 2 (20%) |
| Experimental Weight Set 3 Winner | 15 | 5 (36%) | 5 (36%) | 2 (14%) | 12 (86%) | 3 (33%) | 1 (11%) | 1 (11%) | 4 (44%) |
| ML Favorite (chalk) | 15 | 6 (40%) | 5 (33%) | 2 (13%) | 13 (87%) | — | — | — | — |
LRL
AI Picks posts graded here: Fri 10/9 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 30 | 2 (11%) | 5 (26%) | 4 (21%) | 11 (58%) | 1 (6%) | 4 (25%) | 0 (0%) | 1 (6%) |
| Algo 3 Winner | 30 | 2 (10%) | 5 (25%) | 4 (20%) | 11 (55%) | 1 (7%) | 4 (27%) | 0 (0%) | 0 (0%) |
| Algo 1 Winner | 30 | 2 (11%) | 5 (26%) | 1 (5%) | 8 (42%) | 1 (7%) | 3 (20%) | 0 (0%) | 1 (7%) |
| Experimental Weight Set 2 Winner | 30 | 3 (16%) | 5 (26%) | 2 (11%) | 10 (53%) | 1 (7%) | 2 (13%) | 0 (0%) | 2 (13%) |
| Experimental Weight Set 3 Winner | 30 | 3 (16%) | 6 (32%) | 2 (11%) | 11 (58%) | 2 (12%) | 3 (19%) | 0 (0%) | 1 (6%) |
| AI Longshot | 23 | 0 (0%) | 2 (15%) | 0 (0%) | 2 (15%) | — | — | — | — |
| Expert Consensus | 42 | 3 (17%) | 4 (22%) | 3 (17%) | 10 (56%) | 1 (6%) | 1 (6%) | 0 (0%) | 1 (6%) |
| ML Favorite (chalk) | 21 | 5 (24%) | 4 (19%) | 5 (24%) | 14 (67%) | — | — | — | — |
LSX
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 21 | 6 (30%) | 4 (20%) | 1 (5%) | 11 (55%) | 0 (0%) | 1 (5%) | 0 (0%) | 1 (5%) |
MED
AI Picks posts graded here: Fri 10/9 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 12 | 0 (0%) | 2 (29%) | 1 (14%) | 3 (43%) | 0 (0%) | 1 (20%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 12 | 0 (0%) | 3 (43%) | 1 (14%) | 4 (57%) | 0 (0%) | 1 (20%) | 0 (0%) | 1 (20%) |
| Algo 1 Winner | 12 | 1 (11%) | 1 (11%) | 2 (22%) | 4 (44%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 2 Winner | 12 | 0 (0%) | 2 (29%) | 0 (0%) | 2 (29%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 12 | 0 (0%) | 1 (14%) | 1 (14%) | 2 (29%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| AI Longshot | 3 | 1 (50%) | 1 (50%) | 0 (0%) | 2 (100%) | — | — | — | — |
| ML Favorite (chalk) | 12 | 1 (8%) | 2 (17%) | 2 (17%) | 5 (42%) | — | — | — | — |
MID
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 8 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 3 Winner | 8 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Algo 1 Winner | 8 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 2 Winner | 8 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
| Experimental Weight Set 3 Winner | 8 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 (—) |
MNR
AI Picks posts graded here: Tue 10/6 · Sun 10/11 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 24 | 7 (37%) | 5 (26%) | 3 (16%) | 15 (79%) | 1 (12%) | 1 (12%) | 0 (0%) | 2 (25%) |
| Algo 3 Winner | 24 | 10 (56%) | 4 (22%) | 3 (17%) | 17 (94%) | 1 (12%) | 1 (12%) | 0 (0%) | 1 (12%) |
| Algo 1 Winner | 24 | 8 (47%) | 5 (29%) | 3 (18%) | 16 (94%) | 3 (38%) | 3 (38%) | 1 (12%) | 1 (12%) |
| Experimental Weight Set 2 Winner | 24 | 10 (50%) | 4 (20%) | 3 (15%) | 17 (85%) | 2 (22%) | 0 (0%) | 1 (11%) | 1 (11%) |
| Experimental Weight Set 3 Winner | 24 | 10 (59%) | 5 (29%) | 1 (6%) | 16 (94%) | 2 (25%) | 2 (25%) | 0 (0%) | 2 (25%) |
| AI Longshot | 10 | 0 (0%) | 1 (14%) | 1 (14%) | 2 (29%) | — | — | — | — |
| Expert Consensus | 24 | 8 (47%) | 4 (24%) | 1 (6%) | 13 (76%) | 2 (12%) | 2 (12%) | 2 (12%) | 0 (0%) |
| ML Favorite (chalk) | 24 | 13 (54%) | 4 (17%) | 3 (12%) | 20 (83%) | — | — | — | — |
PEN
AI Picks posts graded here: Wed 10/7 · Thu 10/8 · Fri 10/9
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 21 | 4 (22%) | 4 (22%) | 3 (17%) | 11 (61%) | 1 (6%) | 2 (12%) | 0 (0%) | 0 (0%) |
| Algo 3 Winner | 21 | 7 (37%) | 3 (16%) | 3 (16%) | 13 (68%) | 1 (6%) | 1 (6%) | 0 (0%) | 0 (0%) |
| Algo 1 Winner | 21 | 4 (21%) | 5 (26%) | 3 (16%) | 12 (63%) | 1 (7%) | 1 (7%) | 1 (7%) | 1 (7%) |
| Experimental Weight Set 2 Winner | 21 | 3 (17%) | 2 (11%) | 2 (11%) | 7 (39%) | 0 (0%) | 1 (7%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 21 | 4 (21%) | 4 (21%) | 2 (11%) | 10 (53%) | 2 (12%) | 1 (6%) | 2 (12%) | 0 (0%) |
| Expert Consensus | 21 | 6 (33%) | 5 (28%) | 1 (6%) | 12 (67%) | 1 (6%) | 1 (6%) | 0 (0%) | 0 (0%) |
| ML Favorite (chalk) | 21 | 6 (29%) | 5 (24%) | 1 (5%) | 12 (57%) | — | — | — | — |
PID
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Thu 10/8 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 32 | 5 (19%) | 8 (31%) | 1 (4%) | 14 (54%) | 5 (21%) | 5 (21%) | 2 (8%) | 2 (8%) |
| Algo 3 Winner | 32 | 8 (31%) | 6 (23%) | 5 (19%) | 19 (73%) | 5 (22%) | 3 (13%) | 3 (13%) | 0 (0%) |
| Algo 1 Winner | 32 | 6 (21%) | 10 (36%) | 4 (14%) | 20 (71%) | 1 (4%) | 6 (24%) | 1 (4%) | 3 (12%) |
| Experimental Weight Set 2 Winner | 32 | 6 (22%) | 7 (26%) | 4 (15%) | 17 (63%) | 2 (10%) | 2 (10%) | 2 (10%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 32 | 7 (26%) | 9 (33%) | 3 (11%) | 19 (70%) | 4 (17%) | 4 (17%) | 1 (4%) | 2 (9%) |
| AI Longshot | 3 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 8 | 2 (29%) | 3 (43%) | 0 (0%) | 5 (71%) | 1 (14%) | 2 (29%) | 0 (0%) | 1 (14%) |
| ML Favorite (chalk) | 32 | 8 (25%) | 9 (28%) | 3 (9%) | 20 (62%) | — | — | — | — |
PRX
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 28 | 8 (31%) | 5 (19%) | 2 (8%) | 15 (58%) | 2 (8%) | 4 (16%) | 0 (0%) | 1 (4%) |
| Algo 3 Winner | 28 | 10 (37%) | 8 (30%) | 1 (4%) | 19 (70%) | 3 (12%) | 4 (17%) | 0 (0%) | 2 (8%) |
| Algo 1 Winner | 28 | 9 (35%) | 5 (19%) | 3 (12%) | 17 (65%) | 4 (16%) | 2 (8%) | 0 (0%) | 1 (4%) |
| Experimental Weight Set 2 Winner | 28 | 9 (35%) | 6 (23%) | 2 (8%) | 17 (65%) | 2 (9%) | 4 (18%) | 0 (0%) | 0 (0%) |
| Experimental Weight Set 3 Winner | 28 | 8 (32%) | 5 (20%) | 2 (8%) | 15 (60%) | 4 (16%) | 3 (12%) | 0 (0%) | 2 (8%) |
| AI Longshot | 1 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 28 | 9 (32%) | 7 (25%) | 1 (4%) | 17 (61%) | 2 (7%) | 3 (11%) | 1 (4%) | 0 (0%) |
| ML Favorite (chalk) | 28 | 9 (32%) | 8 (29%) | 3 (11%) | 20 (71%) | — | — | — | — |
RPX
AI Picks posts graded here: Thu 10/8 · Fri 10/9 · Sat 10/10
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 28 | 13 (50%) | 2 (8%) | 2 (8%) | 17 (65%) | 4 (18%) | 1 (5%) | 0 (0%) | 4 (18%) |
| Algo 3 Winner | 28 | 10 (38%) | 4 (15%) | 4 (15%) | 18 (69%) | 3 (14%) | 2 (9%) | 1 (5%) | 3 (14%) |
| Algo 1 Winner | 28 | 7 (28%) | 4 (16%) | 6 (24%) | 17 (68%) | 2 (9%) | 1 (5%) | 0 (0%) | 4 (18%) |
| Experimental Weight Set 2 Winner | 28 | 8 (33%) | 4 (17%) | 4 (17%) | 16 (67%) | 3 (14%) | 2 (9%) | 1 (5%) | 2 (9%) |
| Experimental Weight Set 3 Winner | 28 | 9 (36%) | 4 (16%) | 4 (16%) | 17 (68%) | 4 (17%) | 1 (4%) | 0 (0%) | 4 (17%) |
| AI Longshot | 5 | 0 (0%) | 0 (0%) | 1 (20%) | 1 (20%) | — | — | — | — |
| Expert Consensus | 19 | 7 (44%) | 2 (12%) | 2 (12%) | 11 (69%) | 1 (6%) | 0 (0%) | 1 (6%) | 1 (6%) |
| ML Favorite (chalk) | 28 | 10 (36%) | 3 (11%) | 4 (14%) | 17 (61%) | — | — | — | — |
SAX
AI Picks posts graded here: Fri 10/9 · Sat 10/10 · Sun 10/11 · Mon 10/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 39 | 14 (37%) | 5 (13%) | 6 (16%) | 25 (66%) | 4 (11%) | 2 (6%) | 3 (8%) | 6 (17%) |
| Algo 3 Winner | 39 | 13 (34%) | 7 (18%) | 5 (13%) | 25 (66%) | 4 (11%) | 3 (8%) | 2 (6%) | 5 (14%) |
| Algo 1 Winner | 39 | 9 (25%) | 10 (28%) | 5 (14%) | 24 (67%) | 2 (6%) | 4 (12%) | 1 (3%) | 4 (12%) |
| Experimental Weight Set 2 Winner | 39 | 12 (32%) | 9 (24%) | 6 (16%) | 27 (73%) | 2 (6%) | 4 (12%) | 1 (3%) | 3 (9%) |
| Experimental Weight Set 3 Winner | 39 | 12 (32%) | 7 (19%) | 5 (14%) | 24 (65%) | 4 (12%) | 2 (6%) | 2 (6%) | 5 (15%) |
| AI Longshot | 25 | 0 (0%) | 2 (9%) | 4 (18%) | 6 (27%) | — | — | — | — |
| Expert Consensus | 39 | 7 (19%) | 9 (24%) | 3 (8%) | 19 (51%) | 3 (8%) | 4 (11%) | 3 (8%) | 3 (8%) |
| ML Favorite (chalk) | 39 | 13 (33%) | 8 (21%) | 6 (15%) | 27 (69%) | — | — | — | — |
TDN
AI Picks posts graded here: Tue 10/6 · Wed 10/7 · Thu 10/8
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 27 | 12 (44%) | 4 (15%) | 4 (15%) | 20 (74%) | 4 (18%) | 0 (0%) | 2 (9%) | 4 (18%) |
| Algo 3 Winner | 27 | 7 (27%) | 4 (15%) | 3 (12%) | 14 (54%) | 3 (14%) | 0 (0%) | 1 (5%) | 2 (9%) |
| Algo 1 Winner | 27 | 9 (38%) | 2 (8%) | 6 (25%) | 17 (71%) | 3 (14%) | 1 (5%) | 0 (0%) | 3 (14%) |
| Experimental Weight Set 2 Winner | 27 | 8 (33%) | 8 (33%) | 4 (17%) | 20 (83%) | 1 (5%) | 3 (14%) | 0 (0%) | 2 (10%) |
| Experimental Weight Set 3 Winner | 27 | 9 (39%) | 4 (17%) | 4 (17%) | 17 (74%) | 2 (10%) | 0 (0%) | 2 (10%) | 3 (15%) |
| Expert Consensus | 27 | 9 (36%) | 8 (32%) | 4 (16%) | 21 (84%) | 2 (8%) | 3 (12%) | 1 (4%) | 3 (12%) |
| ML Favorite (chalk) | 27 | 13 (48%) | 4 (15%) | 3 (11%) | 20 (74%) | — | — | — | — |
WOX
AI Picks posts graded here: Thu 10/8 · Fri 10/9 · Sat 10/10 · Sun 10/11
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 2 Winner | 36 | 9 (26%) | 11 (32%) | 1 (3%) | 21 (62%) | 0 (0%) | 4 (12%) | 0 (0%) | 1 (3%) |
| Algo 3 Winner | 36 | 9 (26%) | 9 (26%) | 1 (3%) | 19 (54%) | 2 (6%) | 5 (15%) | 1 (3%) | 1 (3%) |
| Algo 1 Winner | 36 | 8 (24%) | 10 (30%) | 1 (3%) | 19 (58%) | 2 (6%) | 3 (9%) | 0 (0%) | 2 (6%) |
| Experimental Weight Set 2 Winner | 36 | 7 (21%) | 10 (29%) | 5 (15%) | 22 (65%) | 1 (3%) | 6 (19%) | 0 (0%) | 2 (6%) |
| Experimental Weight Set 3 Winner | 36 | 8 (24%) | 11 (32%) | 2 (6%) | 21 (62%) | 2 (6%) | 4 (12%) | 0 (0%) | 3 (9%) |
| AI Longshot | 6 | 1 (17%) | 1 (17%) | 0 (0%) | 2 (33%) | — | — | — | — |
| Expert Consensus | 36 | 12 (36%) | 8 (24%) | 3 (9%) | 23 (70%) | 1 (3%) | 4 (12%) | 0 (0%) | 1 (3%) |
| ML Favorite (chalk) | 36 | 9 (25%) | 10 (28%) | 2 (6%) | 21 (58%) | — | — | — | — |
WRD
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 30 | 7 (26%) | 4 (15%) | 5 (19%) | 16 (59%) | 0 (0%) | 2 (7%) | 0 (0%) | 3 (11%) |
Mod1(W): 82 (1/8) Mod2(W): 75 (2/8) Mod3(W): 79 (3/8) Mod1-LS: 55 (6/8) Win Prob: 18.4% Value Score: 1.35 ★