BKN122
FINAL
124NY
← back to predictions

Brooklyn Nets vs New York Knicks — Win Probability

FINAL
Brooklyn Nets logo
Brooklyn Nets
5-7
122
VS
New York Knicks logo
New York Knicks
5-6
124
Model expected score: Brooklyn Nets 110.4 – New York Knicks 117.4 (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.

BKN
  • Mikel Brown Jr.Day-To-Day
  • Grant NelsonDay-To-Day
  • Egor DeminOut
NY
  • Josh HartDay-To-Day

Prediction vs. Result

We keep every prediction permanently so we can always show our work.

PREGAME WIN PROBABILITY
Knicks 73%
ACTUAL RESULT
✓ Knicks won by 2
COMBINED SCORE
246

Margin of Victory — New York Knicks (Home)

Pregame odds for every possible outcome, simulated before tipoff -- the highlighted bar is what actually happened.

Lost
31%
Won by 1-3 ← actual result
8%
Won by 4-7
11%
Won by 8-14
19%
Won by 15-21
15%
Won by 21+
16%

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 246.

O/U LINE 210
82% over ✓18% under
O/U LINE 220
66% over ✓34% under
O/U LINE 230 MODEL'S PICK
45% over ✓55% under
O/U LINE 240
26% over ✓74% under
O/U LINE 250
12% over88% under ✓
O/U LINE 260
5% over95% 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
NY
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).
Jalen BrunsonPG
26.0
Karl-Anthony TownsC
24.4
OG AnunobyPF
18.0
Mikal BridgesSF
17.6
Josh HartSG
13.6
Privacy PolicyTerms of Service