Completed Games
| Time | Teams | Win | Best ML | Best Spread | Final Points | Sportsbook Log Loss | DRatings Log Loss |
|---|---|---|---|---|---|---|---|
| Indiana Pacers Oklahoma City Thunder | 57.5% 42.5% | +211 -245 +225 -235 | +6½-108 -7+100 +7-110 -6½-105 | 91 103 | -0.37349-0.36369 | -0.85670 | |
| Oklahoma City Thunder Indiana Pacers | 24.9% 75.1% | -195 +183 -210 +190 | -5½-110 +5½-110 -5½-105 +6-110 | 91 108 | -1.05455-1.08672 | -0.28632 | |
| Indiana Pacers Oklahoma City Thunder | 57.5% 42.5% | +285 -340 +320 -350 | +9-115 -9-105 +9-105 -8½-110 | 109 120 | -0.28978-0.26707 | -0.85670 | |
| Oklahoma City Thunder Indiana Pacers | 24.9% 75.1% | -220 +200 -230 +205 | -5½-110 +6-106 -6-105 +6-105 | 111 104 | -0.39531-0.38554 | -1.39038 | |
| Oklahoma City Thunder Indiana Pacers | 24.9% 75.1% | -210 +183 -210 +190 | -5-115 +5½-112 -5½-105 +5½-105 | 107 116 | -1.07058-1.08672 | -0.28632 | |
| Indiana Pacers Oklahoma City Thunder | 57.5% 42.5% | +449 -585 +450 -560 | +11½-105 -11½-113 +11½-105 -11½-105 | 107 123 | -0.19333-0.19416 | -0.85670 | |
| Indiana Pacers Oklahoma City Thunder | 57.5% 42.5% | +383 -470 +400 -490 | +10-110 -10-110 +10-105 -10-105 | 111 110 | -1.60594-1.63948 | -0.55262 | |
| New York Knicks Indiana Pacers | 39.8% 60.2% | +157 -180 +160 -165 | +4-105 -4-110 +4½-110 -4-105 | 108 125 | -0.47331-0.48102 | -0.50810 | |
| Indiana Pacers New York Knicks | 40.4% 59.6% | +170 -190 +160 -175 | +4½-105 -4½-108 +4½-107 -4½-107 | 94 111 | -0.44809-0.47276 | -0.51798 | |
| Minnesota Timberwolves Oklahoma City Thunder | 46.3% 53.7% | +299 -360 +320 -370 | +8½-105 -8½-113 +8½-105 -8½-107 | 94 124 | -0.27782-0.26425 | -0.62138 | |
| New York Knicks Indiana Pacers | 39.8% 60.2% | +130 -149 +140 -145 | +3-110 -3-110 +3½-110 -3-107 | 121 130 | -0.54614-0.53299 | -0.50810 | |
| Oklahoma City Thunder Minnesota Timberwolves | 34.3% 65.7% | -150 +132 -150 +130 | -3-109 +3-110 -3-107 +3½-115 | 128 126 | -0.54139-0.54502 | -1.07067 | |
| New York Knicks Indiana Pacers | 39.8% 60.2% | +105 -120 +105 -120 | +2-115 -1½-109 +1½-107 -1½-107 | 106 100 | -0.75056-0.75056 | -0.92040 | |
| Oklahoma City Thunder Minnesota Timberwolves | 34.3% 65.7% | -135 +123 -140 +130 | -2½-110 +3-115 -3-105 +3-107 | 101 143 | -0.82465-0.85085 | -0.41974 | |
| Indiana Pacers New York Knicks | 40.4% 59.6% | +209 -235 +220 -240 | +5½+100 -5½-110 +6-110 -5½-107 | 114 109 | -1.15299-1.18136 | -0.90565 | |
| Minnesota Timberwolves Oklahoma City Thunder | 46.3% 53.7% | +274 -320 +280 -310 | +8-108 -8-110 +8-107 -8-105 | 103 118 | -0.30079-0.29866 | -0.62138 |
Season Prediction Results
| Games | Record (Pct) | No Pick | +/- | ||
|---|---|---|---|---|---|
| Sportsbooks | 0 | 0-0 (0.000) | 0 | ||
| Sportsbooks | 0 | 0-0 (0.000) | 0 | ||
| DRatings | 0 | 0-0 (0.000) | 0 |
Season Simulation
| Regular Season | Postseason | |||||||
|---|---|---|---|---|---|---|---|---|
| # | Team | W | L | Make Playoffs | Win Division | Win Conf. | Conf. Champ. | Win Champ. |
Predictions Methodology
The projections for all the NBA games that we provide above are at “Level 3” (see more at our predictions disclaimer for details). Our proprietary algorithm takes a variety of factors into account that are all predictive in projecting the winner and score of the game.
Note that we are an information site, and this information should be used for entertainment purposes only.
Related Blog Posts
The Predictive Power of Prediction Markets
Discover how prediction markets deliver accurate forecasts.
Creating a Ratings Model with Bradley-Terry
Modeling with the Bradley-Terry model in Python
A Simple Formula for Unknown Probabilities
The rule of succession and it’s implications for how we make predictions
Best Online Sportsbook Rewards Program
Evaluating the best online sports book rewards programs
A Summary of Different No-Vig Methods
Exploring the pros and cons of each no-vig method.