Minnesota Timberwolves vs Oklahoma City Thunder — Win Probability
FINAL
Minnesota Timberwolves
17-14
105
VS
Oklahoma City Thunder
24-5
113
Model expected score: Minnesota Timberwolves 104.7 – Oklahoma City Thunder 114.4 (no market line posted for this game yet -- see Margin/Totals below)
Injury Report
Live ESPN injury status for both teams, polled fresh each run.
MIN
Anthony EdwardsOut
Donte DiVincenzoOut
OKC
Jaylin WilliamsOut
Thomas SorberOut
Cason WallaceOut
Chet HolmgrenOut
Jalen WilliamsOut
Prediction vs. Result
We keep every prediction permanently so we can always show our work.
PREGAME WIN PROBABILITY
Thunder 80%
ACTUAL RESULT
✓ Thunder won by 8
COMBINED SCORE
218
Margin of Victory — Oklahoma City Thunder (Home)
Pregame odds for every possible outcome, simulated before tipoff -- the highlighted bar is what actually happened.
Lost
24%
Won by 1-3
7%
Won by 4-7
11%
Won by 8-14 ← actual result
19%
Won by 15-21
17%
Won by 21+
21%
Total Score — Over / Under
Combined score across 100,000 simulated versions of this game, against six fixed lines (no market total posted for this game yet -- the highlighted line is this model's own pick, not a sportsbook number). The real combined score was 218.
O/U LINE 210
68% over ✓32% under
O/U LINE 220 MODEL'S PICK
48% over52% under ✓
O/U LINE 230
28% over72% under ✓
O/U LINE 240
14% over86% under ✓
O/U LINE 250
5% over95% under ✓
O/U LINE 260
2% over98% under ✓
Starter Grades
Season-to-date Basketball-Reference stats for each team's starters, minimum 25% of that team's games started.
MIN
Points Per GamePoints scored per game.
Player Efficiency RatingPlayer Efficiency Rating (John Hollinger) -- a per-minute rating summing a player's positive contributions and subtracting the negative, league-adjusted so 15.0 = average.
Win Shares Per 48 MinutesAn estimate of the number of wins contributed by a player per 48 minutes (league average is approximately .100).
Anthony EdwardsSG
27.6
Julius RandlePF
18.7
Jaden McDanielsPF
12.2
Rudy GobertC
12.0
Mike ConleyPG
8.2
OKC
Points Per GamePoints scored per game.
Player Efficiency RatingPlayer Efficiency Rating (John Hollinger) -- a per-minute rating summing a player's positive contributions and subtracting the negative, league-adjusted so 15.0 = average.
Win Shares Per 48 MinutesAn estimate of the number of wins contributed by a player per 48 minutes (league average is approximately .100).