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 17,739 forward picks. New picks are graded nightly.
| Model | Sport / Market | N | Record | Cover | Cover vs break-even | Verdict |
|---|---|---|---|---|---|---|
Model name unavailable | NFL · player_rushing_yards | 252 | 122-130 | 48.4% n=252 · strong [42.2%–54.6%] | — | gap n/a |
Model name unavailable | NFL · Spread | 31 | 14-17 | 45.2% n=31 · marginal [27.6%–62.7%] | — | gap n/a |
Model name unavailable | NFL · player_passing_yards | 54 | 23-31 | 42.6% n=54 · marginal [29.4%–55.8%] | — | gap n/a |
[Auto] MLB Player RBIs (Quantile XGB) | MLB · mlb_player_rbis | 130 | 100-30 | 76.9% n=130 · strong [69.7%–84.2%] | — | gap n/a |
[Auto] MLB Player Strikeouts (Poisson) | MLB · mlb_player_strikeouts | 124 | 82-42 | 66.1% n=124 · strong [57.8%–74.5%] | — | gap n/a |
[Auto] MLB Player Home Runs (Quantile XGB) | MLB · mlb_player_home_runs | 311 | 278-33 | 89.4% n=311 · strong [86.0%–92.8%] | — | gap n/a |
[Auto] MLB Player Strikeouts (Quantile XGB) | MLB · mlb_player_strikeouts | 124 | 73-51 | 58.9% n=124 · strong [50.2%–67.5%] | — | gap n/a |
[Auto] MLB Player Walks (Quantile XGB) | MLB · mlb_player_walks | 315 | 166-149 | 52.7% n=315 · strong [47.2%–58.2%] | — | gap n/a |
[Auto] MLB Player Walks (Poisson) | MLB · mlb_player_walks | 315 | 213-102 | 67.6% n=315 · strong [62.5%–72.8%] | — | gap n/a |
Model name unavailable | NFL · player_receiving_yards | 558 | 305-253 | 54.7% n=558 · strong [50.5%–58.8%] | — | gap n/a |
[Auto] MLB Player RBIs (Poisson) | MLB · mlb_player_rbis | 130 | 99-31 | 76.2% n=130 · strong [68.8%–83.5%] | — | gap n/a |
[Auto] MLB Player Home Runs (Poisson) | MLB · mlb_player_home_runs | 311 | 280-31 | 90.0% n=311 · strong [86.7%–93.4%] | — | gap n/a |
[Auto] MLB Player Hits (Quantile XGB) | MLB · mlb_player_hits | 111 | 71-40 | 64.0% n=111 · strong [55.0%–72.9%] | — | gap n/a |
[Auto] MLB Player Total Bases (Quantile XGB) | MLB · mlb_player_total_bases | 220 | 148-72 | 67.3% n=220 · strong [61.1%–73.5%] | — | gap n/a |
[Auto] MLB Elo Power Ratings Moneyline (LogReg) | MLB · Moneyline | 95 | 46-49 | 48.4% n=95 · marginal [38.4%–58.5%] | — | gap n/a |
[Auto] MLB Moneyline (ExtraTrees) | MLB · Moneyline | 95 | 42-53 | 44.2% n=95 · marginal [34.2%–54.2%] | — | gap n/a |
[Auto] MLB Run Line (KNN) | MLB · Spread | 98 | 56-42 | 57.1% n=98 · marginal [47.3%–66.9%] | — | gap n/a |
Model name unavailable | NFL · Spread | 40 | 25-12-3 | 67.6% n=37 / 40 · marginal [52.5%–82.7%] | — | gap n/a |
[Auto] NBA Spread (CatBoost) | NBA · Spread | 64 | 36-27-1 | 57.1% n=63 / 64 · marginal [44.9%–69.4%] | — | gap n/a |
[Auto] NBA Moneyline (ExtraTrees) | NBA · Moneyline | 67 | 34-33 | 50.7% n=67 · marginal [38.8%–62.7%] | — | gap n/a |
[Auto] NBA Elo Power Ratings Moneyline (LogReg) | NBA · Moneyline | 67 | 30-37 | 44.8% n=67 · marginal [32.9%–56.7%] | — | gap n/a |
[Auto] NBA Spread (Gaussian Process) | NBA · Spread | 64 | 38-25-1 | 60.3% n=63 / 64 · marginal [48.2%–72.4%] | — | gap n/a |
[Auto] NBA Spread Predictor (XGBoost) | NBA · Spread | 64 | 37-26-1 | 58.7% n=63 / 64 · marginal [46.6%–70.9%] | — | gap n/a |
[Auto] NBA ATS XGBoost (Custom Objective) | NBA · Spread | 64 | 41-22-1 | 65.1% n=63 / 64 · marginal [53.3%–76.9%] | — | gap n/a |
[Auto] NBA Elo Power Ratings Spread (XGBoost) | NBA · Spread | 64 | 36-27-1 | 57.1% n=63 / 64 · marginal [44.9%–69.4%] | — | gap n/a |
[Auto] NBA Market Efficiency Moneyline (LogReg) | NBA · Moneyline | 67 | 32-35 | 47.8% n=67 · marginal [35.8%–59.7%] | — | gap n/a |
[Auto] NBA Moneyline Classifier (Random Forest) | NBA · Moneyline | 67 | 32-35 | 47.8% n=67 · marginal [35.8%–59.7%] | — | gap n/a |
[Auto] NBA Moneyline Classifier (Logistic) | NBA · Moneyline | 67 | 33-34 | 49.3% n=67 · marginal [37.3%–61.2%] | — | gap n/a |
[Auto] NBA Cover Probability (XGBoost Classifier) | NBA · Moneyline | 67 | 30-37 | 44.8% n=67 · marginal [32.9%–56.7%] | — | gap n/a |
[Auto] NBA Moneyline Classifier (Random Forest) | NBA · Moneyline | 67 | 33-34 | 49.3% n=67 · marginal [37.3%–61.2%] | — | gap n/a |
[Auto] NBA Moneyline (TabPFN) | NBA · Moneyline | 67 | 32-35 | 47.8% n=67 · marginal [35.8%–59.7%] | — | gap n/a |
[Auto] NBA Spread (HistGradientBoosting) | NBA · Spread | 64 | 41-22-1 | 65.1% n=63 / 64 · marginal [53.3%–76.9%] | — | gap n/a |
[Auto] NBA Moneyline (Voting Ensemble) | NBA · Moneyline | 67 | 34-33 | 50.7% n=67 · marginal [38.8%–62.7%] | — | gap n/a |
[Auto] NBA MLP Moneyline | NBA · Moneyline | 67 | 37-30 | 55.2% n=67 · marginal [43.3%–67.1%] | — | gap n/a |
[Auto] NBA Spread Model (LightGBM) | NBA · Spread | 64 | 37-26-1 | 58.7% n=63 / 64 · marginal [46.6%–70.9%] | — | gap n/a |
[Auto] NBA Total Points (LightGBM) | NBA · Total | 64 | 26-38 | 40.6% n=64 · marginal [28.6%–52.7%] | — | gap n/a |
[Auto] NBA Total Points (LightGBM) | NBA · Total | 64 | 26-38 | 40.6% n=64 · marginal [28.6%–52.7%] | — | gap n/a |
[Auto] NBA Spread (SVR) | NBA · Spread | 64 | 43-20-1 | 68.3% n=63 / 64 · marginal [56.8%–79.7%] | — | gap n/a |
[Auto] NBA Moneyline (CatBoost) | NBA · Moneyline | 67 | 38-29 | 56.7% n=67 · marginal [44.9%–68.6%] | — | gap n/a |
[Auto] NBA Minimal Signal Moneyline (LogReg) | NBA · Moneyline | 67 | 32-35 | 47.8% n=67 · marginal [35.8%–59.7%] | — | gap n/a |
[Auto] NBA Spread Model (LightGBM) | NBA · Spread | 64 | 34-29-1 | 54.0% n=63 / 64 · marginal [41.7%–66.3%] | — | gap n/a |
[Auto] NBA Spread (AdaBoost) | NBA · Spread | 64 | 35-28-1 | 55.6% n=63 / 64 · marginal [43.3%–67.8%] | — | gap n/a |
[Auto] NBA Total Points Model (XGBoost) | NBA · Total | 64 | 26-38 | 40.6% n=64 · marginal [28.6%–52.7%] | — | gap n/a |
[Auto] NBA Spread (SVR) | NBA · Spread | 64 | 43-20-1 | 68.3% n=63 / 64 · marginal [56.8%–79.7%] | — | gap n/a |
[Auto] NBA Spread Predictor (XGBoost) | NBA · Spread | 64 | 31-32-1 | 49.2% n=63 / 64 · marginal [36.9%–61.6%] | — | gap n/a |
[Auto] NBA Spread (KNN) | NBA · Spread | 64 | 38-25-1 | 60.3% n=63 / 64 · marginal [48.2%–72.4%] | — | gap n/a |
[Auto] MLB Moneyline Classifier (Random Forest) | MLB · Moneyline | 130 | 72-58 | 55.4% n=130 · strong [46.8%–63.9%] | — | gap n/a |
[Auto] NBA Spread (MARS) | NBA · Spread | 64 | 35-28-1 | 55.6% n=63 / 64 · marginal [43.3%–67.8%] | — | gap n/a |
[Auto] NBA Moneyline (Ridge Classifier) | NBA · Moneyline | 67 | 32-35 | 47.8% n=67 · marginal [35.8%–59.7%] | — | gap n/a |
[Auto] NBA Moneyline (TabPFN) | NBA · Moneyline | 69 | 30-39 | 43.5% n=69 · marginal [31.8%–55.2%] | — | gap n/a |
Model name unavailable | NFL · player_passing_tds | 79 | 48-31 | 60.8% n=79 · marginal [50.0%–71.5%] | — | gap n/a |
[Auto] MLB Run Line Model (XGBoost) | MLB · Spread | 31 | 14-17 | 45.2% n=31 · marginal [27.6%–62.7%] | — | gap n/a |
[Auto] NHL Elo Power Ratings Moneyline (LogReg) | NHL · Moneyline | 199 | 81-118 | 40.7% n=199 · strong [33.9%–47.5%] | — | gap n/a |
[Auto] NHL Puck Line (KNN) | NHL · Spread | 37 | 22-15 | 59.5% n=37 · marginal [43.6%–75.3%] | — | gap n/a |
[Auto] MLB Run Line (HistGradientBoosting) | MLB · Spread | 159 | 82-75-2 | 52.2% n=157 / 159 · strong [44.4%–60.0%] | — | gap n/a |
[Auto] CFB Moneyline Classifier (Logistic Regression) | CFB · Moneyline | 179 | 109-70 | 60.9% n=179 · strong [53.7%–68.0%] | — | gap n/a |
[Auto] MLB Moneyline (Ridge Classifier) | MLB · Moneyline | 168 | 97-71 | 57.7% n=168 · strong [50.3%–65.2%] | — | gap n/a |
[Auto] MLB Run Line (KNN) | MLB · Spread | 159 | 89-68-2 | 56.7% n=157 / 159 · strong [48.9%–64.4%] | — | gap n/a |
[Auto] CFB Moneyline Classifier (Random Forest) | CFB · Moneyline | 179 | 108-71 | 60.3% n=179 · strong [53.2%–67.5%] | — | gap n/a |
[Auto] CFB Moneyline Classifier (Random Forest) | CFB · Moneyline | 179 | 111-68 | 62.0% n=179 · strong [54.9%–69.1%] | — | gap n/a |
[Auto] MLB Moneyline (CatBoost) | MLB · Moneyline | 162 | 91-71 | 56.2% n=162 · strong [48.5%–63.8%] | — | gap n/a |
[Auto] MLB Elo Power Ratings Moneyline (LogReg) | MLB · Moneyline | 162 | 83-79 | 51.2% n=162 · strong [43.5%–58.9%] | — | gap n/a |
[Auto] MLB Moneyline Classifier (Random Forest) | MLB · Moneyline | 162 | 94-68 | 58.0% n=162 · strong [50.4%–65.6%] | — | gap n/a |
[Auto] NHL Moneyline (ExtraTrees) | NHL · Moneyline | 199 | 103-96 | 51.8% n=199 · strong [44.8%–58.7%] | — | gap n/a |
[Auto] MLB Moneyline Predictor (XGBoost) | MLB · Moneyline | 162 | 94-68 | 58.0% n=162 · strong [50.4%–65.6%] | — | gap n/a |
[Auto] CFB Moneyline (CatBoost) | CFB · Moneyline | 179 | 112-67 | 62.6% n=179 · strong [55.5%–69.7%] | — | gap n/a |
Model name unavailable | NHL · Moneyline | 44 | 27-17 | 61.4% n=44 · marginal [47.0%–75.8%] | — | gap n/a |
[Auto] NHL Moneyline (CatBoost) | NHL · Moneyline | 199 | 116-83 | 58.3% n=199 · strong [51.4%–65.1%] | — | gap n/a |
Model name unavailable | NHL · Spread | 125 | 77-48 | 61.6% n=125 · strong [53.1%–70.1%] | — | gap n/a |
[Auto] MLB Run Total (LightGBM) | MLB · Total | 159 | 84-67-8 | 55.6% n=151 / 159 · strong [47.7%–63.6%] | — | gap n/a |
[Auto] NHL Moneyline Classifier (Random Forest) | NHL · Moneyline | 199 | 118-81 | 59.3% n=199 · strong [52.5%–66.1%] | — | gap n/a |
[Auto] MLB Moneyline SHAP Analysis (XGBoost) | MLB · Moneyline | 32 | 17-15 | 53.1% n=32 · marginal [35.8%–70.4%] | — | gap n/a |
[Auto] MLB Moneyline Predictor (XGBoost) | MLB · Moneyline | 162 | 93-69 | 57.4% n=162 · strong [49.8%–65.0%] | — | gap n/a |
[Auto] NHL Puck Line Model (LightGBM) | NHL · Spread | 37 | 22-15 | 59.5% n=37 · marginal [43.6%–75.3%] | — | gap n/a |
[Auto] NHL Moneyline Classifier (Random Forest) | NHL · Moneyline | 199 | 118-81 | 59.3% n=199 · strong [52.5%–66.1%] | — | gap n/a |
[Auto] NHL Goal Total (XGBoost) | NHL · Total | 37 | 15-21-1 | 41.7% n=36 / 37 · marginal [25.6%–57.8%] | — | gap n/a |
[Auto] MLB Run Line (MARS) | MLB · Spread | 159 | 81-76-2 | 51.6% n=157 / 159 · strong [43.8%–59.4%] | — | gap n/a |
[Auto] CFB Elo Power Ratings Moneyline (LogReg) | CFB · Moneyline | 179 | 101-78 | 56.4% n=179 · strong [49.2%–63.7%] | — | gap n/a |
[Auto] MLB Moneyline (TabPFN) | MLB · Moneyline | 162 | 93-69 | 57.4% n=162 · strong [49.8%–65.0%] | — | gap n/a |
[Auto] NHL Goal Total (XGBoost) | NHL · Total | 37 | 14-22-1 | 38.9% n=36 / 37 · marginal [23.0%–54.8%] | — | gap n/a |
[Auto] MLB Moneyline (ExtraTrees) | MLB · Moneyline | 162 | 94-68 | 58.0% n=162 · strong [50.4%–65.6%] | — | gap n/a |
[Auto] CFB Elo Power Ratings Moneyline (LogReg) | CFB · Moneyline | 179 | 101-78 | 56.4% n=179 · strong [49.2%–63.7%] | — | gap n/a |
[Auto] MLB Run Total (LightGBM) | MLB · Total | 159 | 82-69-8 | 54.3% n=151 / 159 · strong [46.4%–62.3%] | — | gap n/a |
[Auto] CFB Moneyline Classifier (Logistic Regression) | CFB · Moneyline | 179 | 109-70 | 60.9% n=179 · strong [53.7%–68.0%] | — | gap n/a |
Model name unavailable | NHL · Total | 79 | 42-36-1 | 53.8% n=78 / 79 · marginal [42.8%–64.9%] | — | gap n/a |
[Auto] NHL Puck Line (MARS) | NHL · Spread | 37 | 22-15 | 59.5% n=37 · marginal [43.6%–75.3%] | — | gap n/a |
Model name unavailable | NFL · player_interceptions | 55 | 29-26 | 52.7% n=55 · marginal [39.5%–65.9%] | — | gap n/a |
Model name unavailable | NFL · player_receptions | 505 | 287-218 | 56.8% n=505 · strong [52.5%–61.2%] | — | gap n/a |
[Auto] NFL ML Stacking (Calibrated) | NFL · Moneyline | 64 | 43-21 | 67.2% n=64 · marginal [55.7%–78.7%] | +13.7pts | Above break-even |
[Auto] NFL ML Stacking (Calibrated) | NFL · Moneyline | 60 | 39-21 | 65.0% n=60 · marginal [52.9%–77.1%] | +11.1pts | Above break-even |
[Auto] NFL Spread (MARS) | NFL · Spread | 49 | 31-18 | 63.3% n=49 · marginal [49.8%–76.8%] | +10.9pts | Above break-even |
[Auto] NFL Cover Probability (Logistic Regression) | NFL · Moneyline | 79 | 48-31 | 60.8% n=79 · marginal [50.0%–71.5%] | +8.8pts | Above break-even |
[Auto] NFL Cover Probability (XGBoost Classifier) | NFL · Moneyline | 59 | 31-28 | 52.5% n=59 · marginal [39.8%–65.3%] | +7.8pts | Above break-even |
[Auto] NFL Spread (MARS) | NFL · Spread | 64 | 35-24-5 | 59.3% n=59 / 64 · marginal [46.8%–71.9%] | +6.9pts | Above break-even |
[Auto] NFL Cover Probability (Logistic Regression) | NFL · Moneyline | 79 | 45-34 | 57.0% n=79 · marginal [46.0%–67.9%] | +6.9pts | Above break-even |
[Auto] NFL Cover Probability (Random Forest) | NFL · Moneyline | 60 | 31-29 | 51.7% n=60 · marginal [39.0%–64.3%] | +6.5pts | Above break-even |
[Auto] Blueprint (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 70 | 38-29-3 | 56.7% n=67 / 70 · marginal [44.9%–68.6%] | +4.4pts | Slightly above |
[Auto] NFL Elo Power Ratings Spread (XGBoost) | NFL · Spread | 61 | 34-27 | 55.7% n=61 · marginal [43.3%–68.2%] | +3.4pts | Slightly above |
[Auto] NFL Spread (SVR) | NFL · Spread | 65 | 33-27-5 | 55.0% n=60 / 65 · marginal [42.4%–67.6%] | +2.7pts | Slightly above |
[Auto] Blueprint (Py): Full Feature Total (XGB) | NFL · Total | 62 | 34-28 | 54.8% n=62 · marginal [42.5%–67.2%] | +2.4pts | Slightly above |
[Auto] NFL Spread (ExtraTrees) | NFL · Spread | 60 | 30-25-5 | 54.5% n=55 / 60 · marginal [41.4%–67.7%] | +2.2pts | Slightly above |
[Auto] NFL Online SGD ML | NFL · Moneyline | 61 | 28-33 | 45.9% n=61 · marginal [33.4%–58.4%] | +1.8pts | flat |
[Auto] NFL Moneyline (Ridge Classifier) | NFL · Moneyline | 60 | 31-29 | 51.7% n=60 · marginal [39.0%–64.3%] | +1.8pts | flat |
[Auto] NFL Elo Power Ratings Spread (XGBoost) | NFL · Spread | 70 | 35-30-5 | 53.8% n=65 / 70 · marginal [41.7%–66.0%] | +1.6pts | flat |
[Auto] NFL Spread (KNN) | NFL · Spread | 62 | 30-26-6 | 53.6% n=56 / 62 · marginal [40.5%–66.6%] | +1.3pts | flat |
[Auto] NFL Cover Probability (XGBoost Classifier) | NFL · Moneyline | 63 | 30-33 | 47.6% n=63 · marginal [35.3%–60.0%] | +1.1pts | flat |
[Auto] Blueprint (Py): Momentum Spread Model (XGB) | NFL · Spread | 65 | 33-29-3 | 53.2% n=62 / 65 · marginal [40.8%–65.6%] | +0.8pts | flat |
[Auto] Blueprint (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 59 | 29-26-4 | 52.7% n=55 / 59 · marginal [39.5%–65.9%] | +0.4pts | flat |
[Auto] Blueprint (Py): Game Total Model (ElasticNet) | NFL · Total | 80 | 42-38 | 52.5% n=80 · marginal [41.6%–63.4%] | +0.2pts | flat |
[Auto] Playbook (Py): Game Total Model (ElasticNet) | NFL · Total | 80 | 42-38 | 52.5% n=80 · marginal [41.6%–63.4%] | +0.2pts | flat |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 61 | 29-27-5 | 51.8% n=56 / 61 · marginal [38.7%–64.9%] | -0.6pts | flat |
[Auto] NFL ATS XGBoost (Custom Objective) | NFL · Spread | 67 | 32-30-5 | 51.6% n=62 / 67 · marginal [39.2%–64.1%] | -0.7pts | flat |
[Auto] NFL Cover Probability (Random Forest) | NFL · Moneyline | 63 | 28-35 | 44.4% n=63 · marginal [32.2%–56.7%] | -0.8pts | flat |
[Auto] Playbook (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 60 | 31-29 | 51.7% n=60 · marginal [39.0%–64.3%] | -0.8pts | flat |
[Auto] Playbook (Py): Full Feature Total (XGB) | NFL · Total | 45 | 23-22 | 51.1% n=45 · marginal [36.5%–65.7%] | -1.1pts | flat |
[Auto] Playbook (Py): Game Total Model (XGB) | NFL · Total | 45 | 23-22 | 51.1% n=45 · marginal [36.5%–65.7%] | -1.1pts | flat |
Model name unavailable | NFL · Moneyline | 37 | 24-13 | 64.9% n=37 · marginal [49.5%–80.2%] | -1.2pts | flat |
[Auto] NFL Spread (HistGradientBoosting) | NFL · Spread | 63 | 29-28-6 | 50.9% n=57 / 63 · marginal [37.9%–63.9%] | -1.6pts | flat |
[Auto] Blueprint (Py): Full Feature Total (XGB) | NFL · Total | 71 | 36-35 | 50.7% n=71 · marginal [39.1%–62.3%] | -1.6pts | flat |
[Auto] NFL Spread Stacking | NFL · Spread | 61 | 31-30 | 50.8% n=61 · marginal [38.3%–63.4%] | -1.7pts | flat |
[Auto] NFL Spread (KNN) | NFL · Spread | 59 | 30-29 | 50.8% n=59 · marginal [38.1%–63.6%] | -1.7pts | flat |
[Auto] NFL Spread (SVR) | NFL · Spread | 77 | 39-38 | 50.6% n=77 · marginal [39.5%–61.8%] | -1.8pts | flat |
[Auto] NFL GNN Matchup | NFL · Spread | 61 | 31-30 | 50.8% n=61 · marginal [38.3%–63.4%] | -1.8pts | flat |
[Auto] Playbook (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 60 | 30-30 | 50.0% n=60 · marginal [37.3%–62.7%] | -2.2pts | Slightly below |
[Auto] Blueprint (Py): Game Total Model (ElasticNet) | NFL · Total | 80 | 40-40 | 50.0% n=80 · marginal [39.0%–61.0%] | -2.3pts | Slightly below |
[Auto] NFL Spread Stacking | NFL · Spread | 70 | 32-32-6 | 50.0% n=64 / 70 · marginal [37.8%–62.3%] | -2.4pts | Slightly below |
[Auto] NFL GNN Matchup | NFL · Spread | 61 | 28-28-5 | 50.0% n=56 / 61 · marginal [36.9%–63.1%] | -2.4pts | Slightly below |
[Auto] Blueprint (Py): Full Feature Spread (XGB) | NFL · Spread | 67 | 31-32-4 | 49.2% n=63 / 67 · marginal [36.9%–61.6%] | -3.1pts | Slightly below |
[Auto] NFL ATS XGBoost (Custom Objective) | NFL · Spread | 61 | 30-31 | 49.2% n=61 · marginal [36.6%–61.7%] | -3.1pts | Slightly below |
[Auto] NFL Moneyline (Ridge Classifier) | NFL · Moneyline | 59 | 28-31 | 47.5% n=59 · marginal [34.7%–60.2%] | -3.2pts | Slightly below |
[Auto] NFL Elo Power Ratings Moneyline (LogReg) | NFL · Moneyline | 66 | 36-30 | 54.5% n=66 · marginal [42.5%–66.6%] | -3.2pts | Slightly below |
[Auto] Blueprint (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 61 | 30-31 | 49.2% n=61 · marginal [36.6%–61.7%] | -3.4pts | Slightly below |
[Auto] NFL Spread (AdaBoost) | NFL · Spread | 64 | 28-30-6 | 48.3% n=58 / 64 · marginal [35.4%–61.1%] | -4.1pts | Slightly below |
Model name unavailable | NFL · Total | 59 | 28-31 | 47.5% n=59 · marginal [34.7%–60.2%] | -4.6pts | Slightly below |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 68 | 30-33-5 | 47.6% n=63 / 68 · marginal [35.3%–60.0%] | -4.7pts | Slightly below |
[Auto] Blueprint (Py): Game Total Model (XGB) | NFL · Total | 63 | 30-33 | 47.6% n=63 · marginal [35.3%–60.0%] | -4.7pts | Slightly below |
[Auto] Blueprint (Py): Full Feature Spread (Mixture of Experts) | NFL · Spread | 60 | 26-29-5 | 47.3% n=55 / 60 · marginal [34.1%–60.5%] | -5.0pts | Slightly below |
[Auto] Playbook (Py): Feature Store Spread Model (XGB) | NFL · Spread | 45 | 21-24 | 46.7% n=45 · marginal [32.1%–61.2%] | -5.4pts | Below break-even |
[Auto] Playbook (Py): Full Feature Spread (XGB) | NFL · Spread | 45 | 21-24 | 46.7% n=45 · marginal [32.1%–61.2%] | -5.4pts | Below break-even |
[Auto] Playbook (Py): Momentum Spread Model (XGB) | NFL · Spread | 45 | 21-24 | 46.7% n=45 · marginal [32.1%–61.2%] | -5.5pts | Below break-even |
[Auto] Blueprint (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 80 | 37-42-1 | 46.8% n=79 / 80 · marginal [35.8%–57.8%] | -5.5pts | Below break-even |
[Auto] NFL Minimal Signal Spread (XGBoost) | NFL · Spread | 65 | 28-32-5 | 46.7% n=60 / 65 · marginal [34.0%–59.3%] | -5.6pts | Below break-even |
[Auto] Blueprint (Py): Full Feature Spread (XGB) | NFL · Spread | 66 | 28-32-6 | 46.7% n=60 / 66 · marginal [34.0%–59.3%] | -5.7pts | Below break-even |
[Auto] NFL MLP Spread | NFL · Spread | 63 | 27-31-5 | 46.6% n=58 / 63 · marginal [33.7%–59.4%] | -5.9pts | Below break-even |
[Auto] NFL Elo Power Ratings Moneyline (LogReg) | NFL · Moneyline | 60 | 30-30 | 50.0% n=60 · marginal [37.3%–62.7%] | -6.3pts | Below break-even |
[Auto] NFL Spread (Gaussian Process) | NFL · Spread | 61 | 28-33 | 45.9% n=61 · marginal [33.4%–58.4%] | -6.3pts | Below break-even |
[Auto] NFL MLP Spread | NFL · Spread | 61 | 28-33 | 45.9% n=61 · marginal [33.4%–58.4%] | -6.4pts | Below break-even |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 80 | 36-43-1 | 45.6% n=79 / 80 · marginal [34.6%–56.6%] | -6.7pts | Below break-even |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 80 | 36-43-1 | 45.6% n=79 / 80 · marginal [34.6%–56.6%] | -6.8pts | Below break-even |
[Auto] Blueprint (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 80 | 36-43-1 | 45.6% n=79 / 80 · marginal [34.6%–56.6%] | -6.9pts | Below break-even |
[Auto] NFL Market Efficiency Spread (XGBoost) | NFL · Spread | 63 | 26-32-5 | 44.8% n=58 / 63 · marginal [32.0%–57.6%] | -7.5pts | Below break-even |
[Auto] NFL Multi-Task Spread | NFL · Spread | 69 | 28-35-6 | 44.4% n=63 / 69 · marginal [32.2%–56.7%] | -7.8pts | Below break-even |
[Auto] NFL Spread (Gaussian Process) | NFL · Spread | 66 | 27-34-5 | 44.3% n=61 / 66 · marginal [31.8%–56.7%] | -8.0pts | Below break-even |
[Auto] NFL Spread (ExtraTrees) | NFL · Spread | 61 | 27-34 | 44.3% n=61 · marginal [31.8%–56.7%] | -8.1pts | Below break-even |
[Auto] Playbook (Py): Momentum Spread Model (ElasticNet) | NFL · Spread | 61 | 27-34 | 44.3% n=61 · marginal [31.8%–56.7%] | -8.2pts | Below break-even |
[Auto] NFL Spread (CatBoost) | NFL · Spread | 61 | 27-34 | 44.3% n=61 · marginal [31.8%–56.7%] | -8.2pts | Below break-even |
[Auto] Blueprint (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 68 | 28-36-4 | 43.8% n=64 / 68 · marginal [31.6%–55.9%] | -8.4pts | Below break-even |
[Auto] Blueprint (Py): Full Feature Spread (Stacking Ensemble) | NFL · Spread | 62 | 25-32-5 | 43.9% n=57 / 62 · marginal [31.0%–56.7%] | -8.4pts | Below break-even |
[Auto] NFL Online SGD ML | NFL · Moneyline | 59 | 23-36 | 39.0% n=59 · marginal [26.5%–51.4%] | -8.8pts | Below break-even |
[Auto] NFL Minimal Signal Moneyline (LogReg) | NFL · Moneyline | 60 | 24-36 | 40.0% n=60 · marginal [27.6%–52.4%] | -10.1pts | Below break-even |
[Auto] Blueprint (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 71 | 28-39-4 | 41.8% n=67 / 71 · marginal [30.0%–53.6%] | -10.5pts | Below break-even |
[Auto] NFL Multi-Task Spread | NFL · Spread | 61 | 25-36 | 41.0% n=61 · marginal [28.6%–53.3%] | -11.4pts | Below break-even |
[Auto] NFL Spread (HistGradientBoosting) | NFL · Spread | 61 | 25-36 | 41.0% n=61 · marginal [28.6%–53.3%] | -11.4pts | Below break-even |
[Auto] Blueprint (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 80 | 32-47-1 | 40.5% n=79 / 80 · marginal [29.7%–51.3%] | -11.8pts | Below break-even |
[Auto] NFL Market Efficiency Moneyline (LogReg) | NFL · Moneyline | 64 | 24-40 | 37.5% n=64 · marginal [25.6%–49.4%] | -12.4pts | Below break-even |
[Auto] Blueprint (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 61 | 23-35-3 | 39.7% n=58 / 61 · marginal [27.1%–52.2%] | -12.5pts | Below break-even |
[Auto] Playbook (Py): Turnover Regression Model (ElasticNet) | NFL · Spread | 61 | 24-37 | 39.3% n=61 · marginal [27.1%–51.6%] | -12.9pts | Below break-even |
[Auto] Playbook (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 61 | 24-37 | 39.3% n=61 · marginal [27.1%–51.6%] | -13.1pts | Below break-even |
[Auto] Blueprint (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 80 | 31-48-1 | 39.2% n=79 / 80 · marginal [28.5%–50.0%] | -13.1pts | Below break-even |
[Auto] Blueprint (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 62 | 22-35-5 | 38.6% n=57 / 62 · marginal [26.0%–51.2%] | -13.7pts | Below break-even |
[Auto] NFL Spread (AdaBoost) | NFL · Spread | 61 | 23-38 | 37.7% n=61 · marginal [25.5%–49.9%] | -14.5pts | Below break-even |
[Auto] Blueprint (Py): Pressure & Efficiency Model (LightGBM) | NFL · Spread | 61 | 23-38 | 37.7% n=61 · marginal [25.5%–49.9%] | -14.6pts | Below break-even |
[Auto] Playbook (Py): Simple Elo Spread Model (Bayesian) | NFL · Spread | 61 | 23-38 | 37.7% n=61 · marginal [25.5%–49.9%] | -14.7pts | Below break-even |
[Auto] Playbook (Py): SHAP Explainable Elo Model (Linear) | NFL · Spread | 61 | 23-38 | 37.7% n=61 · marginal [25.5%–49.9%] | -14.7pts | Below break-even |
[Auto] Blueprint (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 79 | 28-51 | 35.4% n=79 · marginal [24.9%–46.0%] | -15.7pts | Below break-even |
[Auto] Blueprint (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 79 | 28-51 | 35.4% n=79 · marginal [24.9%–46.0%] | -15.7pts | Below break-even |
[Auto] Blueprint (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 79 | 28-51 | 35.4% n=79 · marginal [24.9%–46.0%] | -16.1pts | Below break-even |
[Auto] NFL Moneyline (CatBoost) | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -16.3pts | Below break-even |
[Auto] NFL Moneyline (ExtraTrees) | NFL · Moneyline | 59 | 20-39 | 33.9% n=59 · marginal [21.8%–46.0%] | -16.4pts | Below break-even |
[Auto] Playbook (Py): Simple Elo Spread Model (Linear) | NFL · Spread | 61 | 22-39 | 36.1% n=61 · marginal [24.0%–48.1%] | -16.4pts | Below break-even |
[Auto] Sharkie Starter: NFL Spread | NFL · Spread | 61 | 22-39 | 36.1% n=61 · marginal [24.0%–48.1%] | -16.5pts | Below break-even |
[Auto] NFL Moneyline (Voting Ensemble) | NFL · Moneyline | 65 | 20-45 | 30.8% n=65 · marginal [19.5%–42.0%] | -17.9pts | Below break-even |
[Auto] NFL MLP Moneyline | NFL · Moneyline | 64 | 20-44 | 31.3% n=64 · marginal [19.9%–42.6%] | -18.6pts | Below break-even |
[Auto] NFL Moneyline (TabPFN) | NFL · Moneyline | 79 | 25-54 | 31.6% n=79 · marginal [21.4%–41.9%] | -18.8pts | Below break-even |
[Auto] NFL Market Efficiency Spread (XGBoost) | NFL · Spread | 45 | 15-30 | 33.3% n=45 · marginal [19.6%–47.1%] | -18.9pts | Below break-even |
[Auto] NFL Minimal Signal Moneyline (LogReg) | NFL · Moneyline | 59 | 19-40 | 32.2% n=59 · marginal [20.3%–44.1%] | -18.9pts | Below break-even |
[Auto] Blueprint (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 64 | 19-45 | 29.7% n=64 · marginal [18.5%–40.9%] | -19.2pts | Below break-even |
[Auto] NFL Moneyline (TabPFN) | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -19.6pts | Below break-even |
[Auto] NFL MLP Moneyline | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -19.7pts | Below break-even |
[Auto] NFL Moneyline (ExtraTrees) | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -19.7pts | Below break-even |
[Auto] NFL Market Efficiency Moneyline (LogReg) | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -19.7pts | Below break-even |
[Auto] Playbook (Py): Moneyline Model (Logistic Regression) | NFL · Moneyline | 60 | 19-41 | 31.7% n=60 · marginal [19.9%–43.4%] | -19.7pts | Below break-even |
[Auto] NFL Minimal Signal Spread (XGBoost) | NFL · Spread | 45 | 14-31 | 31.1% n=45 · marginal [17.6%–44.6%] | -21.2pts | Below break-even |
[Auto] Playbook (Py): Moneyline Model (Random Forest) | NFL · Moneyline | 60 | 17-43 | 28.3% n=60 · marginal [16.9%–39.7%] | -22.0pts | Below break-even |
[Auto] NFL Moneyline (Voting Ensemble) | NFL · Moneyline | 60 | 17-43 | 28.3% n=60 · marginal [16.9%–39.7%] | -23.2pts | Below break-even |
Methodology: cover rate = wins / (wins + losses), pushes excluded. Cover vs break-even = cover rate − 52.38% (the break-even rate for a −110 standard payout), in points. All rows cover every graded pick to date; latest grade: 2026-10-18. Refreshed nightly after games are graded.
