Brooklyn Nets vs Oklahoma City Thunder — Win Probability
FINAL
Brooklyn Nets
14-28
101
VS
Oklahoma City Thunder
32-7
127
Model expected score: Brooklyn Nets 102.7 – Oklahoma City Thunder 119.3 (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.
BKN
Mikel Brown Jr.Day-To-Day
Grant NelsonDay-To-Day
Egor DeminOut
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 91%
ACTUAL RESULT
✓ Thunder won by 26
COMBINED SCORE
228
Margin of Victory — Oklahoma City Thunder (Home)
Pregame odds for every possible outcome, simulated before tipoff -- the highlighted bar is what actually happened.
Lost
12%
Won by 1-3
5%
Won by 4-7
8%
Won by 8-14
18%
Won by 15-21
19%
Won by 21+ ← actual result
38%
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 228.
O/U LINE 210
74% over ✓26% under
O/U LINE 220 MODEL'S PICK
54% over ✓46% under
O/U LINE 230
34% over66% under ✓
O/U LINE 240
17% over83% under ✓
O/U LINE 250
7% over93% 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.
BKN
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).
Cam ThomasSG
24.0
Cameron JohnsonPF
18.8
Dennis SchröderPG
18.4
D'Angelo RussellPG
12.9
Keon JohnsonSG
10.6
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).