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Model Track Record
Every pick on this page was generated before its game started and graded against the final result. Anything recorded after a game settled is excluded, so the record here is real forward performance. A model has no record until it has made picks ahead of upcoming games.
Cover rate by model, sport and market against the −110 break-even (52.38%), built on 11,320 forward picks. New picks are graded nightly.
| Model | Sport / Market | N | Record | Cover | Edge | ROI/pick | Verdict |
|---|---|---|---|---|---|---|---|
Model name unavailable | NFL · Spread | 31 | 14-17 | 45.2% n=31 · marginal [27.6%–62.7%] | — | -13.8% n=31 · marginal | n<5 |
[Auto] MLB Player RBIs (Quantile XGB) | MLB · mlb_player_rbis | 130 | 100-30 | 76.9% n=130 · strong [69.7%–84.2%] | — | 46.9% n=130 · strong | n<5 |
[Auto] MLB Player Strikeouts (Poisson) | MLB · mlb_player_strikeouts | 124 | 82-42 | 66.1% n=124 · strong [57.8%–74.5%] | — | 26.2% n=124 · strong | n<5 |
[Auto] MLB Player Home Runs (Quantile XGB) | MLB · mlb_player_home_runs | 311 | 278-33 | 89.4% n=311 · strong [86.0%–92.8%] | — | 70.7% n=311 · strong | n<5 |
[Auto] MLB Player Strikeouts (Quantile XGB) | MLB · mlb_player_strikeouts | 124 | 73-51 | 58.9% n=124 · strong [50.2%–67.5%] | — | 12.4% n=124 · strong | n<5 |
[Auto] MLB Player Walks (Quantile XGB) | MLB · mlb_player_walks | 315 | 166-149 | 52.7% n=315 · strong [47.2%–58.2%] | — | 0.6% n=315 · strong | n<5 |
Model name unavailable | NFL · player_receiving_yards | 387 | 219-168 | 56.6% n=387 · strong [51.7%–61.5%] | — | 8.0% n=387 · strong | n<5 |
[Auto] MLB Player Walks (Poisson) | MLB · mlb_player_walks | 315 | 213-102 | 67.6% n=315 · strong [62.5%–72.8%] | — | 29.1% n=315 · strong | n<5 |
[Auto] CFB Elo Power Ratings Moneyline (LogReg) | CFB · Moneyline | 59 | 33-26 | 55.9% n=59 · marginal [43.3%–68.6%] | — | 6.8% n=59 · marginal | n<5 |
[Auto] MLB Player RBIs (Poisson) | MLB · mlb_player_rbis | 130 | 99-31 | 76.2% n=130 · strong [68.8%–83.5%] | — | 45.4% n=130 · strong | n<5 |
[Auto] MLB Player Home Runs (Poisson) | MLB · mlb_player_home_runs | 311 | 280-31 | 90.0% n=311 · strong [86.7%–93.4%] | — | 71.9% n=311 · strong | n<5 |
[Auto] MLB Player Hits (Quantile XGB) | MLB · mlb_player_hits | 111 | 71-40 | 64.0% n=111 · strong [55.0%–72.9%] | — | 22.1% n=111 · strong | n<5 |
[Auto] MLB Player Total Bases (Quantile XGB) | MLB · mlb_player_total_bases | 220 | 148-72 | 67.3% n=220 · strong [61.1%–73.5%] | — | 28.4% n=220 · strong | n<5 |
[Auto] MLB Elo Power Ratings Moneyline (LogReg) | MLB · Moneyline | 95 | 46-49 | 48.4% n=95 · marginal [38.4%–58.5%] | — | -7.6% n=95 · marginal | n<5 |
[Auto] MLB Moneyline (ExtraTrees) | MLB · Moneyline | 95 | 42-53 | 44.2% n=95 · marginal [34.2%–54.2%] | — | -15.6% n=95 · marginal | n<5 |
[Auto] MLB Run Line (KNN) | MLB · Spread | 98 | 56-42 | 57.1% n=98 · marginal [47.3%–66.9%] | — | 9.1% n=98 · marginal | n<5 |
[Auto] MLB Run Line (KNN) | MLB · Spread | 142 | 79-61-2 | 56.4% n=140 / 142 · strong [48.2%–64.6%] | — | 7.6% n=142 · strong | n<5 |
[Auto] MLB Moneyline (Ridge Classifier) | MLB · Moneyline | 150 | 85-65 | 56.7% n=150 · strong [48.7%–64.6%] | — | 8.2% n=150 · strong | n<5 |
[Auto] MLB Run Line (HistGradientBoosting) | MLB · Spread | 142 | 73-67-2 | 52.1% n=140 / 142 · strong [43.9%–60.4%] | — | -0.4% n=142 · strong | n<5 |
[Auto] CFB Moneyline Classifier (Logistic Regression) | CFB · Moneyline | 59 | 38-21 | 64.4% n=59 · marginal [52.2%–76.6%] | — | 23.0% n=59 · marginal | n<5 |
Model name unavailable | NFL · player_passing_yards | 37 | 18-19 | 48.6% n=37 · marginal [32.5%–64.8%] | — | -7.1% n=37 · marginal | n<5 |
[Auto] MLB Moneyline (TabPFN) | MLB · Moneyline | 144 | 82-62 | 56.9% n=144 · strong [48.9%–65.0%] | — | 8.7% n=144 · strong | n<5 |
[Auto] MLB Run Line (MARS) | MLB · Spread | 142 | 72-68-2 | 51.4% n=140 / 142 · strong [43.1%–59.7%] | — | -1.8% n=142 · strong | n<5 |
[Auto] MLB Moneyline Classifier (Random Forest) | MLB · Moneyline | 130 | 72-58 | 55.4% n=130 · strong [46.8%–63.9%] | — | 5.7% n=130 · strong | n<5 |
[Auto] MLB Moneyline Predictor (XGBoost) | MLB · Moneyline | 144 | 83-61 | 57.6% n=144 · strong [49.6%–65.7%] | — | 10.0% n=144 · strong | n<5 |
[Auto] MLB Run Total (LightGBM) | MLB · Total | 142 | 75-61-6 | 55.1% n=136 / 142 · strong [46.8%–63.5%] | — | 5.1% n=142 · strong | n<5 |
[Auto] MLB Moneyline (ExtraTrees) | MLB · Moneyline | 144 | 85-59 | 59.0% n=144 · strong [51.0%–67.1%] | — | 12.7% n=144 · strong | n<5 |
[Auto] MLB Moneyline Predictor (XGBoost) | MLB · Moneyline | 144 | 84-60 | 58.3% n=144 · strong [50.3%–66.4%] | — | 11.4% n=144 · strong | n<5 |
Model name unavailable | NFL · player_rushing_yards | 172 | 79-93 | 45.9% n=172 · strong [38.5%–53.4%] | — | -12.3% n=172 · strong | n<5 |
[Auto] CFB Elo Power Ratings Moneyline (LogReg) | CFB · Moneyline | 59 | 33-26 | 55.9% n=59 · marginal [43.3%–68.6%] | — | 6.8% n=59 · marginal | n<5 |
Model name unavailable | NFL · player_receptions | 350 | 191-159 | 54.6% n=350 · strong [49.4%–59.8%] | — | 4.2% n=350 · strong | n<5 |
[Auto] NHL Moneyline Classifier (Random Forest) | NHL · Moneyline | 104 | 57-47 | 54.8% n=104 · strong [45.2%–64.4%] | — | 4.6% n=104 · strong | n<5 |
Model name unavailable | NFL · player_interceptions | 39 | 23-16 | 59.0% n=39 · marginal [43.5%–74.4%] | — | 12.6% n=39 · marginal | n<5 |
[Auto] NHL Moneyline Classifier (Random Forest) | NHL · Moneyline | 104 | 58-46 | 55.8% n=104 · strong [46.2%–65.3%] | — | 6.5% n=104 · strong | n<5 |
[Auto] NHL Moneyline (CatBoost) | NHL · Moneyline | 104 | 57-47 | 54.8% n=104 · strong [45.2%–64.4%] | — | 4.6% n=104 · strong | n<5 |
[Auto] CFB Moneyline (CatBoost) | CFB · Moneyline | 59 | 42-17 | 71.2% n=59 · marginal [59.6%–82.7%] | — | 35.9% n=59 · marginal | n<5 |
[Auto] NHL Moneyline (ExtraTrees) | NHL · Moneyline | 104 | 48-56 | 46.2% n=104 · strong [36.6%–55.7%] | — | -11.9% n=104 · strong | n<5 |
[Auto] MLB Moneyline Classifier (Random Forest) | MLB · Moneyline | 144 | 84-60 | 58.3% n=144 · strong [50.3%–66.4%] | — | 11.4% n=144 · strong | n<5 |
Model name unavailable | NFL · player_passing_tds | 57 | 33-24 | 57.9% n=57 · marginal [45.1%–70.7%] | — | 10.5% n=57 · marginal | n<5 |
[Auto] MLB Elo Power Ratings Moneyline (LogReg) | MLB · Moneyline | 144 | 76-68 | 52.8% n=144 · strong [44.6%–60.9%] | — | 0.8% n=144 · strong | n<5 |
[Auto] MLB Moneyline (CatBoost) | MLB · Moneyline | 144 | 82-62 | 56.9% n=144 · strong [48.9%–65.0%] | — | 8.7% n=144 · strong | n<5 |
[Auto] MLB Run Total (LightGBM) | MLB · Total | 142 | 73-63-6 | 53.7% n=136 / 142 · strong [45.3%–62.1%] | — | 2.4% n=142 · strong | n<5 |
Model name unavailable | NFL · Spread | 32 | 20-10-2 | 66.7% n=30 / 32 · marginal [49.8%–83.5%] | — | 25.6% n=32 · marginal | n<5 |
[Auto] CFB Moneyline Classifier (Random Forest) | CFB · Moneyline | 59 | 41-18 | 69.5% n=59 · marginal [57.7%–81.2%] | — | 32.7% n=59 · marginal | n<5 |
[Auto] CFB Moneyline Classifier (Random Forest) | CFB · Moneyline | 59 | 40-19 | 67.8% n=59 · marginal [55.9%–79.7%] | — | 29.4% n=59 · marginal | n<5 |
[Auto] CFB Moneyline Classifier (Logistic Regression) | CFB · Moneyline | 59 | 38-21 | 64.4% n=59 · marginal [52.2%–76.6%] | — | 23.0% n=59 · marginal | n<5 |
[Auto] NHL Elo Power Ratings Moneyline (LogReg) | NHL · Moneyline | 104 | 39-65 | 37.5% n=104 · strong [28.2%–46.8%] | — | -28.4% n=104 · strong | n<5 |
Model name unavailable | NHL · Spread | 37 | 24-13 | 64.9% n=37 · marginal [49.5%–80.2%] | — | 23.8% n=37 · marginal | n<5 |
[Auto] NFL Spread (MARS) | NFL · Spread | 37 | 24-13 | 64.9% n=37 · marginal [49.5%–80.2%] | +12.7pts | 23.8% n=37 · marginal | +EV |
[Auto] NFL ML Stacking (Calibrated) | NFL · Moneyline | 48 | 31-17 | 64.6% n=48 · marginal [51.1%–78.1%] | +12.3pts | 23.3% n=48 · marginal | +EV |
[Auto] NFL Cover Probability (XGBoost Classifier) | NFL · Moneyline | 44 | 24-20 | 54.5% n=44 · marginal [39.8%–69.3%] | +9.5pts | 4.1% n=44 · marginal | +EV |
[Auto] NFL ML Stacking (Calibrated) | NFL · Moneyline | 45 | 28-17 | 62.2% n=45 · marginal [48.1%–76.4%] | +9.0pts | 18.8% n=45 · marginal | +EV |
[Auto] NFL Cover Probability (Logistic Regression) | NFL · Moneyline | 63 | 37-26 | 58.7% n=63 · marginal [46.6%–70.9%] | +8.0pts | 12.1% n=63 · marginal | +EV |
[Auto] NFL Cover Probability (Random Forest) | NFL · Moneyline | 45 | 24-21 | 53.3% n=45 · marginal [38.8%–67.9%] | +7.8pts | 1.8% n=45 · marginal | +EV |
[Auto] NFL Elo Power Ratings Spread (XGBoost) | NFL · Spread | 45 | 27-18 | 60.0% n=45 · marginal [45.7%–74.3%] | +7.7pts | 14.5% n=45 · marginal | +EV |
[Auto] NFL Cover Probability (Logistic Regression) | NFL · Moneyline | 63 | 34-29 | 54.0% n=63 · marginal [41.7%–66.3%] | +5.5pts | 3.0% n=63 · marginal | +EV |
[Auto] Blueprint (Py): Full Feature Total (XGB) | NFL · Total | 45 | 26-19 | 57.8% n=45 · marginal [43.3%–72.2%] | +5.4pts | 10.3% n=45 · marginal | +EV |
[Auto] Blueprint (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 53 | 29-22-2 | 56.9% n=51 / 53 · marginal [43.3%–70.5%] | +4.6pts | 8.2% n=53 · marginal | +lean |
[Auto] NFL Spread (SVR) | NFL · Spread | 48 | 25-19-4 | 56.8% n=44 / 48 · marginal [42.2%–71.5%] | +4.5pts | 7.8% n=48 · marginal | +lean |
[Auto] NFL Spread (ExtraTrees) | NFL · Spread | 43 | 22-17-4 | 56.4% n=39 / 43 · marginal [40.8%–72.0%] | +4.1pts | 7.0% n=43 · marginal | +lean |
[Auto] Blueprint (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 42 | 22-17-3 | 56.4% n=39 / 42 · marginal [40.8%–72.0%] | +4.1pts | 7.1% n=42 · marginal | +lean |
[Auto] NFL Moneyline (Ridge Classifier) | NFL · Moneyline | 44 | 24-20 | 54.5% n=44 · marginal [39.8%–69.3%] | +4.0pts | 4.1% n=44 · marginal | +lean |
[Auto] NFL Spread (KNN) | NFL · Spread | 43 | 24-19 | 55.8% n=43 · marginal [41.0%–70.7%] | +3.3pts | 6.6% n=43 · marginal | +lean |
[Auto] NFL Elo Power Ratings Spread (XGBoost) | NFL · Spread | 53 | 27-22-4 | 55.1% n=49 / 53 · marginal [41.2%–69.0%] | +2.9pts | 4.8% n=53 · marginal | +lean |
[Auto] NFL Spread (KNN) | NFL · Spread | 45 | 22-18-5 | 55.0% n=40 / 45 · marginal [39.6%–70.4%] | +2.8pts | 4.4% n=45 · marginal | +lean |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 44 | 22-18-4 | 55.0% n=40 / 44 · marginal [39.6%–70.4%] | +2.7pts | 4.5% n=44 · marginal | +lean |
[Auto] NFL Cover Probability (XGBoost Classifier) | NFL · Moneyline | 47 | 23-24 | 48.9% n=47 · marginal [34.6%–63.2%] | +2.3pts | -6.6% n=47 · marginal | +lean |
[Auto] Playbook (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 44 | 24-20 | 54.5% n=44 · marginal [39.8%–69.3%] | +2.0pts | 4.1% n=44 · marginal | +lean |
[Auto] NFL ATS XGBoost (Custom Objective) | NFL · Spread | 50 | 25-21-4 | 54.3% n=46 / 50 · marginal [40.0%–68.7%] | +2.0pts | 3.5% n=50 · marginal | +lean |
[Auto] Blueprint (Py): Momentum Spread Model (XGB) | NFL · Spread | 48 | 25-21-2 | 54.3% n=46 / 48 · marginal [40.0%–68.7%] | +2.0pts | 3.6% n=48 · marginal | flat |
[Auto] NFL Spread (SVR) | NFL · Spread | 61 | 33-28 | 54.1% n=61 · marginal [41.6%–66.6%] | +1.7pts | 3.3% n=61 · marginal | flat |
[Auto] Blueprint (Py): Game Total Model (ElasticNet) | NFL · Total | 63 | 34-29 | 54.0% n=63 · marginal [41.7%–66.3%] | +1.7pts | 3.0% n=63 · marginal | flat |
[Auto] Playbook (Py): Game Total Model (ElasticNet) | NFL · Total | 63 | 34-29 | 54.0% n=63 · marginal [41.7%–66.3%] | +1.7pts | 3.0% n=63 · marginal | flat |
[Auto] NFL Spread (MARS) | NFL · Spread | 47 | 23-20-4 | 53.5% n=43 / 47 · marginal [38.6%–68.4%] | +1.0pts | 1.9% n=47 · marginal | flat |
[Auto] NFL ATS XGBoost (Custom Objective) | NFL · Spread | 45 | 24-21 | 53.3% n=45 · marginal [38.8%–67.9%] | +0.9pts | 1.8% n=45 · marginal | flat |
[Auto] NFL Spread Stacking | NFL · Spread | 45 | 24-21 | 53.3% n=45 · marginal [38.8%–67.9%] | +0.7pts | 1.8% n=45 · marginal | flat |
[Auto] NFL Elo Power Ratings Moneyline (LogReg) | NFL · Moneyline | 50 | 30-20 | 60.0% n=50 · marginal [46.4%–73.6%] | +0.7pts | 14.5% n=50 · marginal | flat |
[Auto] NFL GNN Matchup | NFL · Spread | 45 | 24-21 | 53.3% n=45 · marginal [38.8%–67.9%] | +0.6pts | 1.8% n=45 · marginal | flat |
[Auto] NFL Online SGD ML | NFL · Moneyline | 45 | 20-25 | 44.4% n=45 · marginal [29.9%–59.0%] | +0.4pts | -15.2% n=45 · marginal | flat |
[Auto] NFL GNN Matchup | NFL · Spread | 44 | 21-19-4 | 52.5% n=40 / 44 · marginal [37.0%–68.0%] | +0.1pts | 0.2% n=44 · marginal | flat |
[Auto] Playbook (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 44 | 23-21 | 52.3% n=44 · marginal [37.5%–67.0%] | -0.0pts | -0.2% n=44 · marginal | flat |
[Auto] NFL Cover Probability (Random Forest) | NFL · Moneyline | 47 | 21-26 | 44.7% n=47 · marginal [30.5%–58.9%] | -0.2pts | -14.7% n=47 · marginal | flat |
[Auto] NFL Spread Stacking | NFL · Spread | 53 | 25-23-5 | 52.1% n=48 / 53 · marginal [38.0%–66.2%] | -0.3pts | -0.5% n=53 · marginal | flat |
[Auto] Blueprint (Py): Full Feature Total (XGB) | NFL · Total | 54 | 28-26 | 51.9% n=54 · marginal [38.5%–65.2%] | -0.5pts | -1.0% n=54 · marginal | flat |
[Auto] Blueprint (Py): Full Feature Spread (XGB) | NFL · Spread | 50 | 24-23-3 | 51.1% n=47 / 50 · marginal [36.8%–65.4%] | -1.2pts | -2.4% n=50 · marginal | flat |
[Auto] NFL Moneyline (Ridge Classifier) | NFL · Moneyline | 44 | 22-22 | 50.0% n=44 · marginal [35.2%–64.8%] | -1.4pts | -4.5% n=44 · marginal | flat |
[Auto] Blueprint (Py): Game Total Model (ElasticNet) | NFL · Total | 63 | 32-31 | 50.8% n=63 · marginal [38.4%–63.1%] | -1.5pts | -3.0% n=63 · marginal | flat |
[Auto] Blueprint (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 45 | 23-22 | 51.1% n=45 · marginal [36.5%–65.7%] | -1.6pts | -2.4% n=45 · marginal | flat |
Model name unavailable | NFL · Total | 48 | 24-24 | 50.0% n=48 · marginal [35.9%–64.1%] | -2.0pts | -4.5% n=48 · marginal | fade lean |
[Auto] NFL Minimal Signal Spread (XGBoost) | NFL · Spread | 48 | 22-22-4 | 50.0% n=44 / 48 · marginal [35.2%–64.8%] | -2.2pts | -4.2% n=48 · marginal | fade lean |
[Auto] NFL Spread (AdaBoost) | NFL · Spread | 47 | 21-21-5 | 50.0% n=42 / 47 · marginal [34.9%–65.1%] | -2.3pts | -4.1% n=47 · marginal | fade lean |
[Auto] Blueprint (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 63 | 31-31-1 | 50.0% n=62 / 63 · marginal [37.6%–62.4%] | -2.3pts | -4.5% n=63 · marginal | fade lean |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 51 | 23-24-4 | 48.9% n=47 / 51 · marginal [34.6%–63.2%] | -3.3pts | -6.1% n=51 · marginal | fade lean |
Model name unavailable | NFL · Moneyline | 33 | 21-12 | 63.6% n=33 · marginal [47.2%–80.0%] | -3.3pts | 21.5% n=33 · marginal | fade lean |
[Auto] NFL Spread (ExtraTrees) | NFL · Spread | 45 | 22-23 | 48.9% n=45 · marginal [34.3%–63.5%] | -3.5pts | -6.7% n=45 · marginal | fade lean |
[Auto] Playbook (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 45 | 22-23 | 48.9% n=45 · marginal [34.3%–63.5%] | -3.6pts | -6.7% n=45 · marginal | fade lean |
[Auto] NFL Spread (HistGradientBoosting) | NFL · Spread | 46 | 20-21-5 | 48.8% n=41 / 46 · marginal [33.5%–64.1%] | -3.6pts | -6.1% n=46 · marginal | fade lean |
[Auto] NFL Spread (CatBoost) | NFL · Spread | 45 | 22-23 | 48.9% n=45 · marginal [34.3%–63.5%] | -3.7pts | -6.7% n=45 · marginal | fade lean |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 63 | 30-32-1 | 48.4% n=62 / 63 · marginal [35.9%–60.8%] | -3.9pts | -7.5% n=63 · marginal | fade lean |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 63 | 30-32-1 | 48.4% n=62 / 63 · marginal [35.9%–60.8%] | -4.0pts | -7.5% n=63 · marginal | fade lean |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 63 | 30-32-1 | 48.4% n=62 / 63 · marginal [35.9%–60.8%] | -4.1pts | -7.5% n=63 · marginal | fade lean |
[Auto] Blueprint (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 51 | 23-25-3 | 47.9% n=48 / 51 · marginal [33.8%–62.0%] | -4.2pts | -8.0% n=51 · marginal | fade lean |
[Auto] Blueprint (Py): Game Total Model (XGB) | NFL · Total | 46 | 22-24 | 47.8% n=46 · marginal [33.4%–62.3%] | -4.5pts | -8.7% n=46 · marginal | fade lean |
[Auto] NFL Elo Power Ratings Moneyline (LogReg) | NFL · Moneyline | 45 | 24-21 | 53.3% n=45 · marginal [38.8%–67.9%] | -4.6pts | 1.8% n=45 · marginal | fade lean |
[Auto] Blueprint (Py): Full Feature Spread (XGB) | NFL · Spread | 49 | 21-23-5 | 47.7% n=44 / 49 · marginal [33.0%–62.5%] | -4.6pts | -8.0% n=49 · marginal | fade lean |
[Auto] NFL MLP Spread | NFL · Spread | 46 | 20-22-4 | 47.6% n=42 / 46 · marginal [32.5%–62.7%] | -4.8pts | -8.3% n=46 · marginal | fade lean |
[Auto] NFL Multi-Task Spread | NFL · Spread | 52 | 22-25-5 | 46.8% n=47 / 52 · marginal [32.5%–61.1%] | -5.5pts | -9.6% n=52 · marginal | Fade |
[Auto] NFL Online SGD ML | NFL · Moneyline | 44 | 19-25 | 43.2% n=44 · marginal [28.5%–57.8%] | -5.5pts | -17.6% n=44 · marginal | Fade |
[Auto] NFL Spread (Gaussian Process) | NFL · Spread | 45 | 21-24 | 46.7% n=45 · marginal [32.1%–61.2%] | -5.6pts | -10.9% n=45 · marginal | Fade |
[Auto] NFL MLP Spread | NFL · Spread | 45 | 21-24 | 46.7% n=45 · marginal [32.1%–61.2%] | -5.7pts | -10.9% n=45 · marginal | Fade |
[Auto] Blueprint (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 43 | 18-21-4 | 46.2% n=39 / 43 · marginal [30.5%–61.8%] | -6.0pts | -10.8% n=43 · marginal | Fade |
[Auto] NFL Minimal Signal Moneyline (LogReg) | NFL · Moneyline | 44 | 20-24 | 45.5% n=44 · marginal [30.7%–60.2%] | -6.8pts | -13.2% n=44 · marginal | Fade |
[Auto] NFL Market Efficiency Spread (XGBoost) | NFL · Spread | 46 | 19-23-4 | 45.2% n=42 / 46 · marginal [30.2%–60.3%] | -7.0pts | -12.5% n=46 · marginal | Fade |
[Auto] NFL Spread (Gaussian Process) | NFL · Spread | 49 | 20-25-4 | 44.4% n=45 / 49 · marginal [29.9%–59.0%] | -7.8pts | -13.9% n=49 · marginal | Fade |
[Auto] Playbook (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 45 | 20-25 | 44.4% n=45 · marginal [29.9%–59.0%] | -7.9pts | -15.2% n=45 · marginal | Fade |
[Auto] Playbook (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 45 | 20-25 | 44.4% n=45 · marginal [29.9%–59.0%] | -8.0pts | -15.2% n=45 · marginal | Fade |
[Auto] NFL Spread (HistGradientBoosting) | NFL · Spread | 45 | 20-25 | 44.4% n=45 · marginal [29.9%–59.0%] | -8.0pts | -15.2% n=45 · marginal | Fade |
[Auto] Blueprint (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 45 | 18-23-4 | 43.9% n=41 / 45 · marginal [28.7%–59.1%] | -8.3pts | -14.7% n=45 · marginal | Fade |
[Auto] Blueprint (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 63 | 27-35-1 | 43.5% n=62 / 63 · marginal [31.2%–55.9%] | -8.7pts | -16.6% n=63 · marginal | Fade |
[Auto] Blueprint (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 54 | 22-29-3 | 43.1% n=51 / 54 · marginal [29.5%–56.7%] | -9.0pts | -16.7% n=54 · marginal | Fade |
[Auto] NFL Market Efficiency Moneyline (LogReg) | NFL · Moneyline | 48 | 20-28 | 41.7% n=48 · marginal [27.7%–55.6%] | -10.1pts | -20.5% n=48 · marginal | Fade |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 45 | 19-26 | 42.2% n=45 · marginal [27.8%–56.7%] | -10.1pts | -19.4% n=45 · marginal | Fade |
[Auto] Playbook (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 45 | 19-26 | 42.2% n=45 · marginal [27.8%–56.7%] | -10.2pts | -19.4% n=45 · marginal | Fade |
[Auto] NFL Multi-Task Spread | NFL · Spread | 45 | 19-26 | 42.2% n=45 · marginal [27.8%–56.7%] | -10.2pts | -19.4% n=45 · marginal | Fade |
[Auto] Playbook (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 45 | 19-26 | 42.2% n=45 · marginal [27.8%–56.7%] | -10.3pts | -19.4% n=45 · marginal | Fade |
[Auto] Blueprint (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 63 | 26-36-1 | 41.9% n=62 / 63 · marginal [29.7%–54.2%] | -10.4pts | -19.6% n=63 · marginal | Fade |
[Auto] Blueprint (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 44 | 17-25-2 | 40.5% n=42 / 44 · marginal [25.6%–55.3%] | -11.5pts | -21.7% n=44 · marginal | Fade |
[Auto] NFL Spread (AdaBoost) | NFL · Spread | 45 | 18-27 | 40.0% n=45 · marginal [25.7%–54.3%] | -12.3pts | -23.6% n=45 · marginal | Fade |
[Auto] Playbook (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 45 | 18-27 | 40.0% n=45 · marginal [25.7%–54.3%] | -12.6pts | -23.6% n=45 · marginal | Fade |
[Auto] Sharkie Starter: NFL Spread | NFL · Spread | 45 | 18-27 | 40.0% n=45 · marginal [25.7%–54.3%] | -12.6pts | -23.6% n=45 · marginal | Fade |
[Auto] Blueprint (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 45 | 16-25-4 | 39.0% n=41 / 45 · marginal [24.1%–54.0%] | -13.2pts | -23.2% n=45 · marginal | Fade |
[Auto] NFL Moneyline (CatBoost) | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -14.0pts | -32.1% n=45 · marginal | Fade |
[Auto] Blueprint (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 63 | 24-39 | 38.1% n=63 · marginal [26.1%–50.1%] | -14.8pts | -27.3% n=63 · marginal | Fade |
[Auto] Blueprint (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 63 | 24-39 | 38.1% n=63 · marginal [26.1%–50.1%] | -14.8pts | -27.3% n=63 · marginal | Fade |
[Auto] NFL Moneyline (Voting Ensemble) | NFL · Moneyline | 49 | 17-32 | 34.7% n=49 · marginal [21.4%–48.0%] | -15.3pts | -33.8% n=49 · marginal | Fade |
[Auto] Blueprint (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 63 | 24-39 | 38.1% n=63 · marginal [26.1%–50.1%] | -15.3pts | -27.3% n=63 · marginal | Fade |
[Auto] NFL Moneyline (ExtraTrees) | NFL · Moneyline | 43 | 16-27 | 37.2% n=43 · marginal [22.8%–51.7%] | -15.3pts | -29.0% n=43 · marginal | Fade |
[Auto] NFL Minimal Signal Moneyline (LogReg) | NFL · Moneyline | 44 | 16-28 | 36.4% n=44 · marginal [22.1%–50.6%] | -15.5pts | -30.6% n=44 · marginal | Fade |
[Auto] NFL MLP Moneyline | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -16.6pts | -32.1% n=45 · marginal | Fade |
[Auto] NFL Moneyline (TabPFN) | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -16.7pts | -32.1% n=45 · marginal | Fade |
[Auto] NFL Market Efficiency Moneyline (LogReg) | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -16.7pts | -32.1% n=45 · marginal | Fade |
[Auto] NFL Moneyline (ExtraTrees) | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -16.7pts | -32.1% n=45 · marginal | Fade |
[Auto] Playbook (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 45 | 16-29 | 35.6% n=45 · marginal [21.6%–49.5%] | -16.7pts | -32.1% n=45 · marginal | Fade |
[Auto] NFL Moneyline (TabPFN) | NFL · Moneyline | 63 | 22-41 | 34.9% n=63 · marginal [23.1%–46.7%] | -17.1pts | -33.3% n=63 · marginal | Fade |
[Auto] NFL MLP Moneyline | NFL · Moneyline | 48 | 16-32 | 33.3% n=48 · marginal [20.0%–46.7%] | -18.4pts | -36.4% n=48 · marginal | Fade |
[Auto] Blueprint (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 48 | 15-33 | 31.3% n=48 · marginal [18.1%–44.4%] | -19.4pts | -40.3% n=48 · marginal | Fade |
[Auto] NFL Moneyline (Voting Ensemble) | NFL · Moneyline | 45 | 15-30 | 33.3% n=45 · marginal [19.6%–47.1%] | -20.4pts | -36.4% n=45 · marginal | Fade |
[Auto] Playbook (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 45 | 14-31 | 31.1% n=45 · marginal [17.6%–44.6%] | -21.6pts | -40.6% n=45 · marginal | Fade |
Methodology: cover_rate = wins / (wins + losses) excluding pushes. edge_vs_break_even = cover_rate − 0.5238 (the 52.38% breakeven for a −110 standard payout). ROI/pick is derived from the same wins and losses at that stated price, then shown as a percentage. Materialized view refreshed via SELECT public.refresh_model_cover_rate_mv() — currently auto-refreshed nightly with the multi-sport grader.
Our best model, graded in public.
