Pick Pony Weekly Picks Recap — September 11–17, 2025
AI Picks Performance This Week
What a week for the Pick Pony AI engine! Across our full suite of algorithms, the system analyzed 672 races and delivered consistently strong results that left the morning-line chalk in the dust. The star of the show was our AI Best Bets model, which posted an eye-popping 75.7% In-The-Money rate on 206 settled races — meaning nearly 3 out of every 4 top picks hit the board. Our AI Ensemble (Algo 2) led all models in outright win rate at 37.0%, comfortably clearing the 34.4% chalk benchmark, while Experimental Weight Set 3 matched that 201-win milestone with a stellar 68.4% ITM rate. The AI Exacta model also delivered strong value on the exotic side with 59 straight exactas, 15 trifectas, and 58 boxed trifectas across the week. With several races still pending final results, those numbers have only one direction to go — up.
Standout Wins
The highlight reel this week is absolutely loaded. On the longshot front, Algo 1 and Experimental Weight Set 2 both flagged CARDIFF BY THE SEA (Sep 16, ALB R6) at a juicy 15-1 morning line — and the horse delivered in stunning fashion. Galatina (Sep 17, CDX R2) was another 15-1 gem spotted by Experimental Weight Set 2, proving our model's ability to find hidden value that the public simply overlooked. The AI Exacta model came up big with ANGEL'S LEGACY (Sep 16, IND R4) at 6-1, while Algo 1 uncovered QUESTIONABLE EVENT (Sep 16, TDN R4) and SERENAS GHOST (Sep 11, IND R3), both at 8-1. On the Best Bets side, a steady drumbeat of 4-1 winners — MOREMI, BALLINACLASH, AMERICAN SURFER, FRAUDSTER, RUNWITHHEART, CLASSIC RICK, ANN ALEE, and BRIGHT KOHANA — showed that our top confidence picks are reliably cashing tickets night after night.
Key Insights
Several themes emerged from this week's data that are worth noting. First, our AI clearly thrives at identifying value in the 4-1 to 8-1 range, where it repeatedly outperformed public expectation and delivered winning tickets at meaningful prices. Second, the AI Ensemble model's 37.0% win rate — beating chalk by nearly three full percentage points — validates the power of combining multiple algorithmic signals rather than relying on any single model. Third, the Experimental Weight Set 3 model is showing serious promise, matching the Exacta model's win total (201) while also recording a remarkable 24 straight trifectas this week — the highest of any model in the system. This suggests our research and development team is onto something with the new weighting approach, and it will be exciting to watch that model continue to evolve. As always, a handful of races remain pending with results not yet recorded, so final weekly totals will be even more impressive once those are settled.
Looking Ahead
The Pick Pony AI is firing on all cylinders heading into the next racing weekend, with multiple models beating the chalk benchmark and exotic hit counts continuing to climb. Keep an eye on the AI Ensemble and Experimental Weight Set 3 — two models that are making a very strong case for your go-to picks as we move deeper into the fall racing season. The best is yet to come! 🏇
Weekly Performance Summary
How each pick source's top selection finished across every graded race this week.
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 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 | 672 | |
| Top Pick Wins (1st) | 176 | 30.4% |
| Top Pick Places (2nd) | 122 | 21.1% |
| Top Pick Shows (3rd) | 78 | 13.5% |
| Top Pick ITM | 376 | 64.9% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 58 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 39 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 16 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 54 | 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 | 672 | |
| Top Pick Wins (1st) | 175 | 30.3% |
| Top Pick Places (2nd) | 121 | 20.9% |
| Top Pick Shows (3rd) | 78 | 13.5% |
| Top Pick ITM | 374 | 64.7% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 58 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 39 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 16 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 54 | Picks 1, 2 & 3 all finished in top 3, any order |
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 | 672 | |
| Top Pick Wins (1st) | 214 | 37.0% |
| Top Pick Places (2nd) | 120 | 20.8% |
| Top Pick Shows (3rd) | 85 | 14.7% |
| Top Pick ITM | 419 | 72.5% |
| Pending | 26 |
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 | Description |
|---|---|---|
| Exacta | 65 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 48 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 21 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 52 | 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 | 672 | |
| Top Pick Wins (1st) | 214 | 37.0% |
| Top Pick Places (2nd) | 120 | 20.8% |
| Top Pick Shows (3rd) | 85 | 14.7% |
| Top Pick ITM | 419 | 72.5% |
| Pending | 26 |
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 | Description |
|---|---|---|
| Exacta | 65 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 48 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 21 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 52 | 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 | 672 | |
| Top Pick Wins (1st) | 182 | 31.9% |
| Top Pick Places (2nd) | 119 | 20.8% |
| Top Pick Shows (3rd) | 94 | 16.5% |
| Top Pick ITM | 395 | 69.2% |
| Pending | 26 |
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 | Description |
|---|---|---|
| Exacta | 60 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 37 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 17 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 51 | 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 | 672 | |
| Top Pick Wins (1st) | 182 | 31.9% |
| Top Pick Places (2nd) | 119 | 20.8% |
| Top Pick Shows (3rd) | 94 | 16.5% |
| Top Pick ITM | 395 | 69.2% |
| Pending | 26 |
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 | Description |
|---|---|---|
| Exacta | 60 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 37 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 17 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 51 | 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 | 672 | |
| Top Pick Wins (1st) | 201 | 35.0% |
| Top Pick Places (2nd) | 124 | 21.6% |
| Top Pick Shows (3rd) | 80 | 13.9% |
| Top Pick ITM | 405 | 70.6% |
| Pending | 26 |
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 | Description |
|---|---|---|
| Exacta | 59 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 48 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 14 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 58 | 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 | 672 | |
| Top Pick Wins (1st) | 167 | 28.7% |
| Top Pick Places (2nd) | 120 | 20.7% |
| Top Pick Shows (3rd) | 94 | 16.2% |
| Top Pick ITM | 381 | 65.6% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 48 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 47 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 17 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 61 | 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 | 672 | |
| Top Pick Wins (1st) | 166 | 28.6% |
| Top Pick Places (2nd) | 119 | 20.5% |
| Top Pick Shows (3rd) | 94 | 16.2% |
| Top Pick ITM | 379 | 65.3% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 47 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 47 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 17 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 61 | 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 | 672 | |
| Top Pick Wins (1st) | 201 | 34.4% |
| Top Pick Places (2nd) | 114 | 19.5% |
| Top Pick Shows (3rd) | 86 | 14.7% |
| Top Pick ITM | 401 | 68.5% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 65 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 39 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 24 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 53 | 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 | 672 | |
| Top Pick Wins (1st) | 200 | 34.2% |
| Top Pick Places (2nd) | 114 | 19.5% |
| Top Pick Shows (3rd) | 86 | 14.7% |
| Top Pick ITM | 400 | 68.4% |
| Pending | 27 |
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 | Description |
|---|---|---|
| Exacta | 65 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 39 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 24 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 53 | 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 | 232 | |
| Top Pick Wins (1st) | 85 | 41.3% |
| Top Pick Places (2nd) | 39 | 18.9% |
| Top Pick Shows (3rd) | 32 | 15.5% |
| Top Pick ITM | 156 | 75.7% |
| Pending | 7 |
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 | 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 |
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 % | Flat $2 win ROI |
|---|---|---|---|---|---|---|
| All 3 AI models + experts | 87 | 36 | 14 | 14 | 41.4% | -29.7% |
| 2 of 3 AI models + experts | 68 | 27 | 13 | 12 | 39.7% | -10.9% |
| 1 of 3 AI models + experts | 45 | 19 | 10 | 5 | 42.2% | +19.8% |
| All Best Bets | 200 | 82 | 37 | 31 | 41.0% | -12.2% |
| Pending | 80 |
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 | 264 | |
| Races Covered | 171 | |
| Wins (1st) | 12 | 5.9% |
| Places (2nd) | 14 | 6.9% |
| Shows (3rd) | 22 | 10.8% |
| ITM | 48 | 23.6% |
| Pending | 24 |
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: 2571; wider 10/1-and-longer universe available to the edge rows: 14208, of which 11763 could be assigned a calibrated edge. Calibrator: out-of-sample tiered calibrator on the cross-race win probability (lgbm_win_prob_fwd), trained through 2026-07-30; edge rows replay only the 49 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 49 days (11763 runners), because everything before 2026-07-30 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 | 2571 | 146 (5.7%) | $5142.00 | $3038.44 |
| $2 PLACE — all longshots | 2571 | 373 (14.5%) | $5142.00 | $3503.56 |
| $2 SHOW — all longshots | 2571 | 616 (24.0%) | $5142.00 | $3430.24 |
| $2 WIN + $2 PLACE | 2571 | 373 (14.5%) | $10284.00 | $6542.00 |
| $2 WIN — ML ≥ 15/1 | 1491 | 67 (4.5%) | $2982.00 | $1736.36 |
| $2 WIN — ML ≥ 20/1 | 955 | 29 (3.0%) | $1910.00 | $884.86 |
| $2 WIN — field ≥ 8 | 1702 | 94 (5.5%) | $3404.00 | $2162.18 |
| $2 WIN — edge ≥ 5% | 6006 | 369 (6.1%) | $12012.00 | $7905.10 |
| $2 WIN — edge ≥ 10% | 5357 | 330 (6.2%) | $10714.00 | $7036.48 |
| $2 WIN — edge ≥ 20% | 4809 | 310 (6.4%) | $9618.00 | $6443.44 |
| $2 WIN — edge ≥ 30% | 2887 | 219 (7.6%) | $5774.00 | $3686.16 |
| $2 WIN — edge ≥ 40% | 2642 | 200 (7.6%) | $5284.00 | $3287.20 |
| $2 WIN — edge ≥ 50% | 1520 | 111 (7.3%) | $3040.00 | $1952.12 |
| $2 WIN — edge ≥ 60% | 102 | 9 (8.8%) | $204.00 | $157.00 |
| $2 WIN — edge ≥ 70% | 0 | — | $0.00 | $0.00 |
| $2 WIN — edge ≥ 80% | 0 | — | $0.00 | $0.00 |
| $2 WIN — edge ≥ 90% | 0 | — | $0.00 | $0.00 |
| $2 WIN — edge ≥ 100% | 0 | — | $0.00 | $0.00 |
| $2 WIN — edge ≥ 10% AND field ≥ 8 | 3029 | 176 (5.8%) | $6058.00 | $4180.94 |
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 | 356 |
| Trifectas hit | 48 (13.5%) |
| Total staked | $1,326.00 |
| Total returned | $1,101.40 |
| Profit / loss | −$224.60 (-16.9% ROI) |
278 race(s) skipped for scratches inside the top four; 37 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 | 457 | |
| Favorite Wins (1st) | 157 | 34.4% |
| Favorite Places (2nd) | 95 | 20.8% |
| Favorite Shows (3rd) | 58 | 12.7% |
| Favorite ITM | 310 | 67.8% |
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 | 658 | |
| Top Pick Wins (1st) | 184 | 33.6% |
| Top Pick Places (2nd) | 127 | 23.2% |
| Top Pick Shows (3rd) | 88 | 16.1% |
| Top Pick ITM | 399 | 72.9% |
| Pending | 111 |
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 | Description |
|---|---|---|
| Exacta | 57 | Picks 1 & 2 finished 1st & 2nd in exact order |
| Boxed Exacta | 42 | Picks 1 & 2 both finished in top 2, reversed order |
| Trifecta | 22 | Picks 1, 2 & 3 finished 1st, 2nd & 3rd in exact order |
| Boxed Trifecta | 43 | 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 1 Winner | 672 | 176 (30%) | 122 (21%) | 78 (13%) | 376 (65%) | 58 | 39 | 16 | 54 |
| Algo 2 Winner | 672 | 214 (37%) | 120 (21%) | 85 (15%) | 419 (72%) | 65 | 48 | 21 | 52 |
| Algo 3 Winner | 672 | 182 (32%) | 119 (21%) | 94 (16%) | 395 (69%) | 60 | 37 | 17 | 51 |
| Experimental Weight Set 2 Winner | 672 | 167 (29%) | 120 (21%) | 94 (16%) | 381 (66%) | 48 | 47 | 17 | 61 |
| Experimental Weight Set 3 Winner | 672 | 201 (34%) | 114 (19%) | 86 (15%) | 401 (69%) | 65 | 39 | 24 | 53 |
| AI Longshot | 264 | 12 (6%) | 14 (7%) | 22 (11%) | 48 (24%) | — | — | — | — |
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 | 7 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
ALB
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 21 | 2 (10%) | 7 (33%) | 3 (14%) | 12 (57%) | 0 | 2 | 0 | 1 |
| Algo 2 Winner | 21 | 5 (24%) | 3 (14%) | 4 (19%) | 12 (57%) | 3 | 0 | 0 | 1 |
| Algo 3 Winner | 21 | 5 (25%) | 1 (5%) | 1 (5%) | 7 (35%) | 2 | 0 | 0 | 1 |
| Experimental Weight Set 2 Winner | 21 | 3 (14%) | 5 (24%) | 4 (19%) | 12 (57%) | 2 | 1 | 0 | 1 |
| Experimental Weight Set 3 Winner | 21 | 3 (14%) | 6 (29%) | 4 (19%) | 13 (62%) | 1 | 2 | 0 | 2 |
| AI Longshot | 2 | 0 (0%) | 1 (50%) | 0 (0%) | 1 (50%) | — | — | — | — |
| Expert Consensus | 45 | 9 (21%) | 7 (17%) | 6 (14%) | 22 (52%) | 3 | 1 | 0 | 2 |
| ML Favorite (chalk) | 21 | 4 (19%) | 3 (14%) | 2 (10%) | 9 (43%) | — | — | — | — |
ASD
AI Picks posts graded here: Mon 9/14 · Tue 9/15 · Wed 9/16
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 21 | 8 (38%) | 3 (14%) | 3 (14%) | 14 (67%) | 2 | 0 | 0 | 2 |
| Algo 2 Winner | 21 | 7 (35%) | 3 (15%) | 7 (35%) | 17 (85%) | 2 | 0 | 2 | 0 |
| Algo 3 Winner | 21 | 4 (20%) | 2 (10%) | 4 (20%) | 10 (50%) | 1 | 1 | 1 | 1 |
| Experimental Weight Set 2 Winner | 21 | 8 (38%) | 3 (14%) | 5 (24%) | 16 (76%) | 3 | 0 | 1 | 2 |
| Experimental Weight Set 3 Winner | 21 | 9 (43%) | 3 (14%) | 5 (24%) | 17 (81%) | 4 | 0 | 3 | 1 |
| AI Longshot | 6 | 1 (17%) | 0 (0%) | 2 (33%) | 3 (50%) | — | — | — | — |
| Expert Consensus | 21 | 8 (40%) | 3 (15%) | 5 (25%) | 16 (80%) | 2 | 1 | 1 | 0 |
| ML Favorite (chalk) | 21 | 7 (33%) | 3 (14%) | 5 (24%) | 15 (71%) | — | — | — | — |
BKF
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 8 | 2 (29%) | 2 (29%) | 2 (29%) | 6 (86%) | 1 | 0 | 1 | 1 |
| Algo 2 Winner | 8 | 5 (62%) | 1 (12%) | 1 (12%) | 7 (88%) | 3 | 0 | 0 | 2 |
| Algo 3 Winner | 8 | 4 (57%) | 1 (14%) | 2 (29%) | 7 (100%) | 2 | 0 | 0 | 2 |
| Experimental Weight Set 2 Winner | 8 | 3 (43%) | 0 (0%) | 3 (43%) | 6 (86%) | 1 | 0 | 0 | 2 |
| Experimental Weight Set 3 Winner | 8 | 3 (43%) | 1 (14%) | 2 (29%) | 6 (86%) | 2 | 0 | 1 | 2 |
| AI Longshot | 1 | 1 (100%) | 0 (0%) | 0 (0%) | 1 (100%) | — | — | — | — |
| ML Favorite (chalk) | 8 | 4 (50%) | 1 (12%) | 3 (38%) | 8 (100%) | — | — | — | — |
BTP
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 32 | 13 (45%) | 9 (31%) | 4 (14%) | 26 (90%) | 7 | 4 | 2 | 4 |
| Algo 2 Winner | 32 | 12 (41%) | 8 (28%) | 4 (14%) | 24 (83%) | 3 | 3 | 1 | 6 |
| Algo 3 Winner | 32 | 9 (30%) | 12 (40%) | 4 (13%) | 25 (83%) | 1 | 3 | 1 | 5 |
| Experimental Weight Set 2 Winner | 32 | 12 (40%) | 12 (40%) | 3 (10%) | 27 (90%) | 6 | 4 | 1 | 6 |
| Experimental Weight Set 3 Winner | 32 | 14 (48%) | 8 (28%) | 5 (17%) | 27 (93%) | 8 | 3 | 3 | 5 |
| AI Longshot | 4 | 0 (0%) | 0 (0%) | 1 (33%) | 1 (33%) | — | — | — | — |
| Expert Consensus | 32 | 14 (47%) | 7 (23%) | 5 (17%) | 26 (87%) | 4 | 1 | 1 | 3 |
| ML Favorite (chalk) | 32 | 12 (38%) | 11 (34%) | 3 (9%) | 26 (81%) | — | — | — | — |
CBY
AI Picks posts graded here: Sat 9/12 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 23 | 8 (42%) | 3 (16%) | 0 (0%) | 11 (58%) | 4 | 1 | 2 | 1 |
| Algo 2 Winner | 23 | 10 (50%) | 4 (20%) | 1 (5%) | 15 (75%) | 2 | 2 | 1 | 1 |
| Algo 3 Winner | 23 | 5 (28%) | 4 (22%) | 2 (11%) | 11 (61%) | 2 | 2 | 0 | 2 |
| Experimental Weight Set 2 Winner | 23 | 2 (11%) | 6 (32%) | 1 (5%) | 9 (47%) | 0 | 4 | 0 | 3 |
| Experimental Weight Set 3 Winner | 23 | 8 (38%) | 4 (19%) | 1 (5%) | 13 (62%) | 2 | 2 | 1 | 2 |
| AI Longshot | 1 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | — | — | — | — |
| Expert Consensus | 23 | 7 (39%) | 6 (33%) | 2 (11%) | 15 (83%) | 3 | 3 | 2 | 3 |
| ML Favorite (chalk) | 23 | 10 (43%) | 4 (17%) | 1 (4%) | 15 (65%) | — | — | — | — |
CDX
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 48 | 11 (26%) | 3 (7%) | 6 (14%) | 20 (48%) | 3 | 1 | 2 | 1 |
| Algo 2 Winner | 48 | 14 (37%) | 6 (16%) | 3 (8%) | 23 (61%) | 2 | 0 | 1 | 3 |
| Algo 3 Winner | 48 | 10 (26%) | 7 (18%) | 3 (8%) | 20 (53%) | 0 | 1 | 0 | 3 |
| Experimental Weight Set 2 Winner | 48 | 9 (22%) | 5 (12%) | 4 (10%) | 18 (44%) | 2 | 1 | 2 | 1 |
| Experimental Weight Set 3 Winner | 48 | 12 (27%) | 5 (11%) | 6 (13%) | 23 (51%) | 3 | 0 | 3 | 1 |
| AI Longshot | 52 | 2 (4%) | 3 (7%) | 7 (16%) | 12 (27%) | — | — | — | — |
| Expert Consensus | 48 | 19 (49%) | 7 (18%) | 3 (8%) | 29 (74%) | 4 | 1 | 1 | 2 |
CTM
AI Picks posts graded here: Fri 9/11 · Sat 9/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 15 | 8 (53%) | 3 (20%) | 1 (7%) | 12 (80%) | 2 | 2 | 2 | 2 |
| Algo 2 Winner | 15 | 10 (67%) | 2 (13%) | 0 (0%) | 12 (80%) | 3 | 1 | 2 | 1 |
| Algo 3 Winner | 15 | 8 (57%) | 4 (29%) | 0 (0%) | 12 (86%) | 1 | 3 | 0 | 2 |
| Experimental Weight Set 2 Winner | 15 | 8 (53%) | 3 (20%) | 1 (7%) | 12 (80%) | 2 | 2 | 2 | 1 |
| Experimental Weight Set 3 Winner | 15 | 9 (60%) | 3 (20%) | 0 (0%) | 12 (80%) | 2 | 2 | 2 | 1 |
| AI Longshot | 6 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 17 | 8 (47%) | 4 (24%) | 1 (6%) | 13 (76%) | 4 | 1 | 2 | 0 |
| ML Favorite (chalk) | 15 | 9 (60%) | 3 (20%) | 0 (0%) | 12 (80%) | — | — | — | — |
CTX
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 24 | 8 (35%) | 3 (13%) | 2 (9%) | 13 (57%) | 2 | 1 | 0 | 2 |
| Algo 2 Winner | 24 | 12 (52%) | 3 (13%) | 3 (13%) | 18 (78%) | 1 | 1 | 0 | 2 |
| Algo 3 Winner | 24 | 12 (52%) | 4 (17%) | 3 (13%) | 19 (83%) | 1 | 1 | 0 | 1 |
| Experimental Weight Set 2 Winner | 24 | 10 (43%) | 2 (9%) | 5 (22%) | 17 (74%) | 2 | 1 | 0 | 1 |
| Experimental Weight Set 3 Winner | 24 | 10 (45%) | 3 (14%) | 2 (9%) | 15 (68%) | 1 | 1 | 0 | 0 |
| AI Longshot | 9 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 24 | 13 (62%) | 2 (10%) | 0 (0%) | 15 (71%) | 1 | 0 | 1 | 2 |
DEL
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 36 | 10 (34%) | 8 (28%) | 1 (3%) | 19 (66%) | 1 | 2 | 0 | 2 |
| Algo 2 Winner | 36 | 12 (43%) | 6 (21%) | 4 (14%) | 22 (79%) | 4 | 1 | 0 | 3 |
| Algo 3 Winner | 36 | 12 (40%) | 5 (17%) | 4 (13%) | 21 (70%) | 3 | 1 | 1 | 2 |
| Experimental Weight Set 2 Winner | 36 | 8 (29%) | 2 (7%) | 4 (14%) | 14 (50%) | 2 | 0 | 0 | 4 |
| Experimental Weight Set 3 Winner | 36 | 7 (25%) | 8 (29%) | 1 (4%) | 16 (57%) | 0 | 2 | 0 | 2 |
| AI Longshot | 12 | 1 (14%) | 0 (0%) | 1 (14%) | 2 (29%) | — | — | — | — |
| ML Favorite (chalk) | 36 | 11 (31%) | 9 (25%) | 7 (19%) | 27 (75%) | — | — | — | — |
FEX
AI Picks posts graded here: Mon 9/14 · Tue 9/15
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 14 | 3 (21%) | 2 (14%) | 5 (36%) | 10 (71%) | 1 | 1 | 0 | 3 |
| Algo 2 Winner | 14 | 5 (38%) | 2 (15%) | 3 (23%) | 10 (77%) | 0 | 1 | 0 | 4 |
| Algo 3 Winner | 14 | 5 (36%) | 1 (7%) | 5 (36%) | 11 (79%) | 2 | 1 | 2 | 3 |
| Experimental Weight Set 2 Winner | 14 | 6 (46%) | 2 (15%) | 3 (23%) | 11 (85%) | 1 | 1 | 0 | 2 |
| Experimental Weight Set 3 Winner | 14 | 5 (38%) | 1 (8%) | 4 (31%) | 10 (77%) | 1 | 0 | 0 | 5 |
| Expert Consensus | 14 | 4 (33%) | 1 (8%) | 4 (33%) | 9 (75%) | 1 | 1 | 1 | 2 |
FLX
AI Picks posts graded here: Mon 9/14 · Tue 9/15 · Wed 9/16
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 25 | 9 (38%) | 4 (17%) | 6 (25%) | 19 (79%) | 3 | 1 | 0 | 6 |
| Algo 2 Winner | 25 | 9 (39%) | 5 (22%) | 7 (30%) | 21 (91%) | 2 | 3 | 0 | 6 |
| Algo 3 Winner | 25 | 6 (26%) | 6 (26%) | 7 (30%) | 19 (83%) | 1 | 2 | 0 | 5 |
| Experimental Weight Set 2 Winner | 25 | 7 (30%) | 4 (17%) | 9 (39%) | 20 (87%) | 2 | 1 | 1 | 5 |
| Experimental Weight Set 3 Winner | 25 | 7 (29%) | 6 (25%) | 7 (29%) | 20 (83%) | 1 | 3 | 0 | 8 |
| AI Longshot | 3 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 25 | 5 (21%) | 8 (33%) | 7 (29%) | 20 (83%) | 2 | 4 | 1 | 4 |
FPK
AI Picks posts graded here: Sat 9/12 · Tue 9/15
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Algo 2 Winner | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Algo 3 Winner | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 2 Winner | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 3 Winner | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| AI Longshot | 21 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | — | — | — | — |
| Expert Consensus | 19 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
GPX
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 28 | 7 (32%) | 8 (36%) | 4 (18%) | 19 (86%) | 2 | 2 | 1 | 1 |
| Algo 2 Winner | 28 | 9 (36%) | 9 (36%) | 1 (4%) | 19 (76%) | 2 | 2 | 0 | 0 |
| Algo 3 Winner | 28 | 8 (32%) | 7 (28%) | 1 (4%) | 16 (64%) | 4 | 0 | 1 | 0 |
| Experimental Weight Set 2 Winner | 28 | 5 (20%) | 9 (36%) | 5 (20%) | 19 (76%) | 1 | 2 | 0 | 2 |
| Experimental Weight Set 3 Winner | 28 | 6 (26%) | 9 (39%) | 4 (17%) | 19 (83%) | 2 | 2 | 1 | 1 |
| AI Longshot | 12 | 1 (10%) | 0 (0%) | 1 (10%) | 2 (20%) | — | — | — | — |
| Expert Consensus | 44 | 5 (20%) | 8 (32%) | 5 (20%) | 18 (72%) | 3 | 2 | 0 | 2 |
GRP
AI Picks posts graded here: Sun 9/13 · Mon 9/14
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 12 | 2 (17%) | 4 (33%) | 1 (8%) | 7 (58%) | 1 | 2 | 0 | 1 |
| Algo 2 Winner | 12 | 5 (42%) | 3 (25%) | 1 (8%) | 9 (75%) | 2 | 1 | 1 | 0 |
| Algo 3 Winner | 12 | 6 (50%) | 3 (25%) | 2 (17%) | 11 (92%) | 1 | 0 | 1 | 1 |
| Experimental Weight Set 2 Winner | 12 | 5 (42%) | 2 (17%) | 1 (8%) | 8 (67%) | 3 | 0 | 2 | 0 |
| Experimental Weight Set 3 Winner | 12 | 5 (42%) | 2 (17%) | 2 (17%) | 9 (75%) | 3 | 0 | 1 | 0 |
| ML Favorite (chalk) | 12 | 5 (42%) | 3 (25%) | 1 (8%) | 9 (75%) | — | — | — | — |
IND
AI Picks posts graded here: Fri 9/11 · Mon 9/14 · Tue 9/15 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 42 | 12 (32%) | 5 (13%) | 6 (16%) | 23 (61%) | 2 | 3 | 0 | 4 |
| Algo 2 Winner | 42 | 11 (29%) | 6 (16%) | 2 (5%) | 19 (50%) | 5 | 2 | 2 | 2 |
| Algo 3 Winner | 42 | 5 (15%) | 3 (9%) | 8 (24%) | 16 (47%) | 2 | 2 | 1 | 1 |
| Experimental Weight Set 2 Winner | 42 | 11 (28%) | 7 (18%) | 5 (12%) | 23 (57%) | 3 | 3 | 2 | 2 |
| Experimental Weight Set 3 Winner | 42 | 16 (40%) | 5 (12%) | 5 (12%) | 26 (65%) | 4 | 2 | 2 | 1 |
| AI Longshot | 19 | 0 (0%) | 1 (6%) | 2 (12%) | 3 (19%) | — | — | — | — |
| Expert Consensus | 49 | 14 (29%) | 11 (23%) | 8 (17%) | 33 (69%) | 4 | 2 | 2 | 3 |
| ML Favorite (chalk) | 42 | 13 (31%) | 5 (12%) | 3 (7%) | 21 (50%) | — | — | — | — |
LAD
AI Picks posts graded here: Sat 9/12 · Mon 9/14 · Tue 9/15 · Wed 9/16
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 29 | 6 (23%) | 5 (19%) | 5 (19%) | 16 (62%) | 1 | 2 | 0 | 3 |
| Algo 2 Winner | 29 | 6 (22%) | 4 (15%) | 9 (33%) | 19 (70%) | 2 | 3 | 1 | 4 |
| Algo 3 Winner | 29 | 3 (12%) | 9 (35%) | 9 (35%) | 21 (81%) | 1 | 4 | 1 | 4 |
| Experimental Weight Set 2 Winner | 29 | 7 (27%) | 7 (27%) | 4 (15%) | 18 (69%) | 3 | 3 | 0 | 5 |
| Experimental Weight Set 3 Winner | 29 | 7 (27%) | 4 (15%) | 5 (19%) | 16 (62%) | 3 | 3 | 1 | 3 |
| AI Longshot | 21 | 1 (5%) | 1 (5%) | 1 (5%) | 3 (16%) | — | — | — | — |
| Expert Consensus | 29 | 8 (30%) | 4 (15%) | 9 (33%) | 21 (78%) | 3 | 2 | 1 | 4 |
| ML Favorite (chalk) | 28 | 7 (25%) | 6 (21%) | 6 (21%) | 19 (68%) | — | — | — | — |
LAX
AI Picks posts graded here: Sat 9/12
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 1 | 0 (0%) | 0 (0%) | 1 (100%) | 1 (100%) | 0 | 0 | 0 | 0 |
| Algo 2 Winner | 1 | 0 (0%) | 0 (0%) | 1 (100%) | 1 (100%) | 0 | 0 | 0 | 0 |
| Algo 3 Winner | 1 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 2 Winner | 1 | 0 (0%) | 0 (0%) | 1 (100%) | 1 (100%) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 3 Winner | 1 | 0 (0%) | 0 (0%) | 1 (100%) | 1 (100%) | 0 | 0 | 0 | 0 |
LBG
AI Picks posts graded here: Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 10 | 1 (10%) | 4 (40%) | 3 (30%) | 8 (80%) | 1 | 1 | 0 | 4 |
| Algo 2 Winner | 10 | 4 (40%) | 2 (20%) | 3 (30%) | 9 (90%) | 0 | 2 | 0 | 2 |
| Algo 3 Winner | 10 | 3 (30%) | 2 (20%) | 3 (30%) | 8 (80%) | 1 | 1 | 0 | 2 |
| Experimental Weight Set 2 Winner | 10 | 2 (20%) | 2 (20%) | 4 (40%) | 8 (80%) | 0 | 2 | 0 | 3 |
| Experimental Weight Set 3 Winner | 10 | 2 (20%) | 1 (10%) | 5 (50%) | 8 (80%) | 1 | 1 | 0 | 2 |
| ML Favorite (chalk) | 10 | 2 (20%) | 2 (20%) | 3 (30%) | 7 (70%) | — | — | — | — |
LRC
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 25 | 5 (20%) | 4 (16%) | 5 (20%) | 14 (56%) | 0 | 0 | 0 | 2 |
| Algo 2 Winner | 25 | 10 (42%) | 3 (12%) | 4 (17%) | 17 (71%) | 2 | 1 | 0 | 1 |
| Algo 3 Winner | 25 | 12 (48%) | 4 (16%) | 3 (12%) | 19 (76%) | 3 | 1 | 1 | 1 |
| Experimental Weight Set 2 Winner | 25 | 9 (38%) | 3 (12%) | 3 (12%) | 15 (62%) | 3 | 1 | 1 | 2 |
| Experimental Weight Set 3 Winner | 25 | 6 (25%) | 3 (12%) | 4 (17%) | 13 (54%) | 1 | 2 | 0 | 2 |
| AI Longshot | 9 | 1 (11%) | 1 (11%) | 0 (0%) | 2 (22%) | — | — | — | — |
| ML Favorite (chalk) | 25 | 11 (44%) | 2 (8%) | 2 (8%) | 15 (60%) | — | — | — | — |
LRL
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 26 | 5 (22%) | 4 (17%) | 2 (9%) | 11 (48%) | 3 | 1 | 2 | 1 |
| Algo 2 Winner | 26 | 4 (17%) | 6 (26%) | 3 (13%) | 13 (57%) | 2 | 3 | 1 | 2 |
| Algo 3 Winner | 26 | 5 (23%) | 6 (27%) | 3 (14%) | 14 (64%) | 2 | 0 | 1 | 1 |
| Experimental Weight Set 2 Winner | 26 | 7 (30%) | 1 (4%) | 4 (17%) | 12 (52%) | 3 | 1 | 2 | 1 |
| Experimental Weight Set 3 Winner | 26 | 5 (22%) | 5 (22%) | 3 (13%) | 13 (57%) | 2 | 3 | 1 | 2 |
| AI Longshot | 22 | 3 (18%) | 2 (12%) | 1 (6%) | 6 (35%) | — | — | — | — |
| Expert Consensus | 42 | 5 (21%) | 7 (29%) | 3 (12%) | 15 (62%) | 2 | 0 | 1 | 0 |
| ML Favorite (chalk) | 26 | 6 (23%) | 7 (27%) | 3 (12%) | 16 (62%) | — | — | — | — |
LSX
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 29 | 7 (25%) | 7 (25%) | 6 (21%) | 20 (71%) | 1 | 2 | 0 | 1 |
MNR
AI Picks posts graded here: Sun 9/13 · Mon 9/14 · Tue 9/15 · Wed 9/16
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 32 | 8 (33%) | 7 (29%) | 4 (17%) | 19 (79%) | 3 | 3 | 1 | 1 |
| Algo 2 Winner | 32 | 10 (38%) | 4 (15%) | 7 (27%) | 21 (81%) | 5 | 1 | 2 | 1 |
| Algo 3 Winner | 32 | 5 (20%) | 4 (16%) | 6 (24%) | 15 (60%) | 3 | 1 | 0 | 2 |
| Experimental Weight Set 2 Winner | 32 | 5 (20%) | 5 (20%) | 7 (28%) | 17 (68%) | 0 | 2 | 0 | 2 |
| Experimental Weight Set 3 Winner | 32 | 13 (48%) | 4 (15%) | 4 (15%) | 21 (78%) | 6 | 1 | 1 | 3 |
| AI Longshot | 11 | 0 (0%) | 2 (29%) | 3 (43%) | 5 (71%) | — | — | — | — |
| Expert Consensus | 32 | 17 (61%) | 2 (7%) | 4 (14%) | 23 (82%) | 5 | 1 | 4 | 3 |
| ML Favorite (chalk) | 32 | 13 (41%) | 6 (19%) | 6 (19%) | 25 (78%) | — | — | — | — |
MTH
AI Picks posts graded here: Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 16 | 4 (36%) | 1 (9%) | 2 (18%) | 7 (64%) | 1 | 0 | 0 | 0 |
| Algo 2 Winner | 16 | 2 (22%) | 3 (33%) | 3 (33%) | 8 (89%) | 0 | 1 | 0 | 0 |
| Algo 3 Winner | 16 | 2 (17%) | 3 (25%) | 4 (33%) | 9 (75%) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 2 Winner | 16 | 2 (22%) | 1 (11%) | 2 (22%) | 5 (56%) | 0 | 1 | 0 | 0 |
| Experimental Weight Set 3 Winner | 16 | 4 (40%) | 0 (0%) | 2 (20%) | 6 (60%) | 1 | 0 | 0 | 0 |
| AI Longshot | 2 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | — | — | — | — |
| Expert Consensus | 16 | 1 (10%) | 4 (40%) | 4 (40%) | 9 (90%) | 0 | 2 | 0 | 2 |
| ML Favorite (chalk) | 16 | 4 (25%) | 5 (31%) | 4 (25%) | 13 (81%) | — | — | — | — |
PID
AI Picks posts graded here: Mon 9/14
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 8 | 2 (29%) | 1 (14%) | 1 (14%) | 4 (57%) | 1 | 0 | 0 | 0 |
| Algo 2 Winner | 8 | 2 (29%) | 1 (14%) | 1 (14%) | 4 (57%) | 0 | 0 | 0 | 0 |
| Algo 3 Winner | 8 | 2 (25%) | 0 (0%) | 2 (25%) | 4 (50%) | 1 | 0 | 0 | 0 |
| Experimental Weight Set 2 Winner | 8 | 1 (14%) | 3 (43%) | 0 (0%) | 4 (57%) | 0 | 1 | 0 | 1 |
| Experimental Weight Set 3 Winner | 8 | 2 (29%) | 2 (29%) | 1 (14%) | 5 (71%) | 0 | 0 | 0 | 0 |
| ML Favorite (chalk) | 8 | 0 (0%) | 2 (25%) | 1 (12%) | 3 (38%) | — | — | — | — |
PRM
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 23 | 6 (32%) | 3 (16%) | 2 (11%) | 11 (58%) | 2 | 1 | 1 | 5 |
| Algo 2 Winner | 23 | 8 (42%) | 4 (21%) | 2 (11%) | 14 (74%) | 4 | 2 | 2 | 3 |
| Algo 3 Winner | 23 | 7 (37%) | 4 (21%) | 3 (16%) | 14 (74%) | 3 | 3 | 1 | 4 |
| Experimental Weight Set 2 Winner | 23 | 5 (25%) | 4 (20%) | 4 (20%) | 13 (65%) | 2 | 1 | 1 | 4 |
| Experimental Weight Set 3 Winner | 23 | 8 (42%) | 2 (11%) | 2 (11%) | 12 (63%) | 3 | 1 | 1 | 4 |
| AI Longshot | 1 | 0 (0%) | 1 (100%) | 0 (0%) | 1 (100%) | — | — | — | — |
| Expert Consensus | 34 | 8 (28%) | 6 (21%) | 7 (24%) | 21 (72%) | 3 | 1 | 2 | 1 |
| ML Favorite (chalk) | 23 | 9 (39%) | 4 (17%) | 4 (17%) | 17 (74%) | — | — | — | — |
PRX
AI Picks posts graded here: Mon 9/14 · Tue 9/15
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 19 | 3 (18%) | 5 (29%) | 1 (6%) | 9 (53%) | 1 | 3 | 0 | 1 |
| Algo 2 Winner | 19 | 3 (18%) | 8 (47%) | 1 (6%) | 12 (71%) | 1 | 5 | 0 | 1 |
| Algo 3 Winner | 19 | 5 (31%) | 6 (38%) | 1 (6%) | 12 (75%) | 2 | 2 | 0 | 1 |
| Experimental Weight Set 2 Winner | 19 | 2 (12%) | 8 (47%) | 0 (0%) | 10 (59%) | 0 | 4 | 0 | 1 |
| Experimental Weight Set 3 Winner | 19 | 4 (25%) | 4 (25%) | 1 (6%) | 9 (56%) | 3 | 2 | 1 | 1 |
| AI Longshot | 4 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| Expert Consensus | 19 | 4 (21%) | 5 (26%) | 1 (5%) | 10 (53%) | 4 | 2 | 1 | 2 |
| ML Favorite (chalk) | 19 | 6 (32%) | 7 (37%) | 1 (5%) | 14 (74%) | — | — | — | — |
RPX
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 30 | 6 (21%) | 4 (14%) | 3 (11%) | 13 (46%) | 3 | 1 | 0 | 2 |
| Algo 2 Winner | 30 | 7 (27%) | 4 (15%) | 4 (15%) | 15 (58%) | 4 | 3 | 2 | 1 |
| Algo 3 Winner | 30 | 8 (32%) | 2 (8%) | 6 (24%) | 16 (64%) | 4 | 1 | 1 | 1 |
| Experimental Weight Set 2 Winner | 30 | 5 (19%) | 6 (22%) | 3 (11%) | 14 (52%) | 0 | 4 | 0 | 3 |
| Experimental Weight Set 3 Winner | 30 | 10 (37%) | 4 (15%) | 4 (15%) | 18 (67%) | 4 | 0 | 1 | 2 |
| AI Longshot | 13 | 0 (0%) | 2 (15%) | 1 (8%) | 3 (23%) | — | — | — | — |
SWA
AI Picks posts graded here: Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 6 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Algo 2 Winner | 6 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Algo 3 Winner | 6 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 2 Winner | 6 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| Experimental Weight Set 3 Winner | 6 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | 0 | 0 | 0 | 0 |
| AI Longshot | 2 | 0 (—) | 0 (—) | 0 (—) | 0 (—) | — | — | — | — |
SWF
AI Picks posts graded here: Sun 9/13
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 9 | 2 (22%) | 3 (33%) | 1 (11%) | 6 (67%) | 1 | 0 | 1 | 0 |
| Algo 2 Winner | 9 | 2 (22%) | 3 (33%) | 1 (11%) | 6 (67%) | 1 | 1 | 0 | 0 |
| Algo 3 Winner | 9 | 3 (33%) | 2 (22%) | 2 (22%) | 7 (78%) | 3 | 1 | 0 | 1 |
| Experimental Weight Set 2 Winner | 9 | 1 (11%) | 3 (33%) | 1 (11%) | 5 (56%) | 0 | 0 | 0 | 1 |
| Experimental Weight Set 3 Winner | 9 | 1 (11%) | 3 (33%) | 1 (11%) | 5 (56%) | 0 | 0 | 0 | 0 |
| AI Longshot | 3 | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | — | — | — | — |
| ML Favorite (chalk) | 9 | 2 (22%) | 3 (33%) | 1 (11%) | 6 (67%) | — | — | — | — |
TDN
AI Picks posts graded here: Mon 9/14 · Tue 9/15 · Wed 9/16 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 32 | 16 (55%) | 5 (17%) | 1 (3%) | 22 (76%) | 7 | 3 | 0 | 3 |
| Algo 2 Winner | 32 | 13 (42%) | 9 (29%) | 1 (3%) | 23 (74%) | 5 | 7 | 1 | 3 |
| Algo 3 Winner | 32 | 13 (43%) | 7 (23%) | 2 (7%) | 22 (73%) | 10 | 4 | 2 | 3 |
| Experimental Weight Set 2 Winner | 32 | 14 (48%) | 6 (21%) | 3 (10%) | 23 (79%) | 6 | 4 | 1 | 4 |
| Experimental Weight Set 3 Winner | 32 | 16 (53%) | 7 (23%) | 1 (3%) | 24 (80%) | 6 | 3 | 1 | 1 |
| AI Longshot | 5 | 0 (0%) | 0 (0%) | 1 (20%) | 1 (20%) | — | — | — | — |
| Expert Consensus | 32 | 12 (39%) | 12 (39%) | 2 (6%) | 26 (84%) | 5 | 9 | 1 | 3 |
| ML Favorite (chalk) | 32 | 13 (41%) | 7 (22%) | 1 (3%) | 21 (66%) | — | — | — | — |
WOX
AI Picks posts graded here: Fri 9/11 · Sat 9/12 · Sun 9/13 · Thu 9/17
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Algo 1 Winner | 38 | 9 (26%) | 12 (35%) | 3 (9%) | 24 (71%) | 3 | 2 | 1 | 1 |
| Algo 2 Winner | 38 | 17 (47%) | 8 (22%) | 4 (11%) | 29 (81%) | 5 | 2 | 2 | 3 |
| Algo 3 Winner | 38 | 15 (43%) | 10 (29%) | 4 (11%) | 29 (83%) | 4 | 2 | 2 | 2 |
| Experimental Weight Set 2 Winner | 38 | 10 (28%) | 9 (25%) | 5 (14%) | 24 (67%) | 1 | 3 | 1 | 2 |
| Experimental Weight Set 3 Winner | 38 | 9 (26%) | 11 (31%) | 4 (11%) | 24 (69%) | 1 | 4 | 0 | 2 |
| AI Longshot | 23 | 1 (6%) | 0 (0%) | 1 (6%) | 2 (11%) | — | — | — | — |
| Expert Consensus | 38 | 12 (33%) | 9 (25%) | 5 (14%) | 26 (72%) | 3 | 5 | 0 | 4 |
WRD
| Source | Races | W | P | S | ITM | EX | BEX | TRI | BTRI |
|---|---|---|---|---|---|---|---|---|---|
| Expert Consensus | 19 | 4 (21%) | 7 (37%) | 1 (5%) | 12 (63%) | 0 | 1 | 0 | 0 |

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 ★