Loading Alleygorithm
Preparing the latest NBA impact board
Pulling player, pair, lineup, and playoff reads from the current score snapshot.
Onyeka Okongwu
Onyeka Okongwu grades as around league average in current season, with +0.3 wins added across 10,363 possessions. roughly neutral per-100 impact. The read is balanced across both ends.
Wins added · Current season
+0.3B-
Average · 66th percentileScope
Prior seasons unlock with Pro.
Window trend · observed wins / 100 trend76 games · Current season
15-game rolling line starts after game 15 in Current season · band shows recent game-to-game volatilityGame-by-game →
Impact Profile
Per-event impact, not event count
Disruption archetype
Playmaking
+0.1275th
Scoring
+0.0886th
Rim Protection
+0.0873rd
Disruption
+0.0792nd
Ball Security
-0.043rd
Def. Rebounding
+0.0467th
Off. Rebounding
-0.0129th
Shot Selection
+0.0078th
+0.00
Offense / 100Average
+0.01
Defense / 100Above avg
+0.00
Wins added / 100Average
Game receipts
Current season · wins / 100 possessions, with a rolling 5-game trend
Rolling 5-game average90+ poss60–89 poss30–59 poss<30 poss
76 gamesavg +0.0069best +0.1070worst -0.1289
| Date | Opp | Wins / 100 poss | Wins added | Poss |
|---|---|---|---|---|
| Apr 21 | NYK | +0.010 | +0.01 | 119 |
| Apr 19 | NYK | -0.047 | -0.08 | 162 |
| Apr 11 | CLE | +0.070 | +0.08 | 115 |
| Apr 9 | CLE | -0.129 | -0.19 | 150 |
| Apr 7 | NYK | +0.030 | +0.05 | 155 |
| Apr 4 | BKN | +0.082 | +0.10 | 122 |
| Apr 2 | ORL | +0.030 | +0.04 | 146 |
| Mar 31 | BOS | +0.048 | +0.07 | 148 |
| Mar 28 | BOS | -0.035 | -0.05 | 149 |
| Mar 26 | DET | -0.064 | -0.07 | 107 |
| Mar 24 | MEM | +0.070 | +0.06 | 83 |
| Mar 22 | GSW | +0.107 | +0.12 | 112 |
| Mar 21 | HOU | -0.040 | -0.04 | 107 |
| Mar 19 | DAL | +0.044 | +0.06 | 131 |
| Mar 17 | ORL | +0.056 | +0.06 | 106 |
| Mar 14 | MIL | +0.045 | +0.06 | 127 |
| Mar 13 | BKN | +0.037 | +0.05 | 135 |
| Mar 11 | DAL | +0.086 | +0.12 | 142 |
| Mar 8 | PHI | +0.097 | +0.12 | 125 |
| Mar 5 | MIL | +0.057 | +0.07 | 130 |
| Mar 2 | POR | +0.046 | +0.06 | 127 |
| Feb 27 | WAS | +0.037 | +0.05 | 124 |
| Feb 25 | WAS | +0.062 | +0.07 | 109 |
| Feb 22 | BKN | +0.084 | +0.11 | 137 |
| Feb 21 | MIA | -0.036 | -0.05 | 136 |
| Feb 20 | PHI | +0.071 | +0.08 | 116 |
| Feb 12 | CHA | -0.003 | -0.00 | 125 |
| Feb 10 | MIN | -0.047 | -0.08 | 162 |
| Feb 8 | CHA | -0.018 | -0.02 | 126 |
| Jan 29 | BOS | +0.030 | +0.04 | 129 |
| Jan 26 | IND | +0.024 | +0.03 | 145 |
| Jan 24 | PHX | +0.076 | +0.12 | 154 |
| Jan 22 | MEM | +0.027 | +0.03 | 128 |
| Jan 19 | MIL | -0.039 | -0.06 | 152 |
| Jan 18 | BOS | -0.038 | -0.06 | 154 |
| Jan 16 | POR | -0.057 | -0.10 | 167 |
| Jan 14 | LAL | -0.023 | -0.03 | 146 |
| Jan 12 | GSW | +0.035 | +0.06 | 173 |
| Jan 10 | DEN | +0.080 | +0.12 | 153 |
| Jan 6 | TOR | -0.027 | -0.05 | 174 |
| Jan 4 | TOR | -0.057 | -0.09 | 149 |
| Jan 3 | NYK | +0.043 | +0.06 | 136 |
| Dec 31 | MIN | +0.021 | +0.02 | 116 |
| Dec 30 | OKC | -0.065 | -0.11 | 174 |
| Dec 28 | NYK | +0.006 | +0.01 | 161 |
| Dec 27 | MIA | -0.059 | -0.10 | 167 |
| Dec 24 | CHI | -0.034 | -0.06 | 170 |
| Dec 21 | CHI | -0.031 | -0.06 | 195 |
| Dec 20 | SAS | -0.058 | -0.09 | 149 |
| Dec 19 | CHA | -0.097 | -0.07 | 68 |
| Dec 15 | PHI | +0.042 | +0.07 | 164 |
| Dec 13 | DET | -0.059 | -0.08 | 139 |
| Dec 7 | WAS | +0.034 | +0.05 | 161 |
| Dec 6 | DEN | -0.065 | -0.08 | 128 |
| Dec 4 | LAC | -0.071 | -0.10 | 147 |
| Dec 2 | DET | -0.062 | -0.10 | 162 |
| Dec 1 | PHI | +0.025 | +0.06 | 226 |
| Nov 29 | CLE | +0.077 | +0.12 | 157 |
| Nov 26 | WAS | -0.067 | -0.06 | 92 |
| Nov 24 | CHA | +0.008 | +0.01 | 144 |
| Nov 21 | SAS | -0.073 | -0.08 | 106 |
| Nov 19 | DET | -0.085 | -0.13 | 152 |
| Nov 17 | PHX | +0.006 | +0.01 | 177 |
| Nov 14 | UTA | +0.074 | +0.12 | 168 |
| Nov 13 | SAC | +0.082 | +0.03 | 39 |
| Nov 11 | LAC | +0.078 | +0.08 | 107 |
| Nov 9 | LAL | +0.075 | +0.10 | 135 |
| Nov 8 | TOR | -0.053 | -0.06 | 108 |
| Nov 5 | ORL | +0.006 | +0.00 | 60 |
| Nov 3 | CLE | +0.050 | +0.03 | 67 |
| Nov 1 | IND | +0.057 | +0.07 | 121 |
| Oct 30 | BKN | +0.072 | +0.08 | 117 |
| Oct 28 | CHI | +0.019 | +0.02 | 129 |
| Oct 26 | OKC | -0.053 | -0.08 | 149 |
| Oct 25 | ORL | -0.044 | -0.07 | 153 |
| Oct 23 | TOR | -0.055 | -0.09 | 162 |
Best two-man stretches
1
CJ McCollum
3346 poss
+0.01A+
2
Jonathan Kuminga
768 poss
+0.01A-
3
Kristaps Porziņģis
247 poss
+0.00A-
4
Dyson Daniels
7424 poss
+0.00A-
5
Jalen Johnson
6969 poss
+0.00B+
6
Nickeil Alexander-Walker
7830 poss
+0.00B+
7
Asa Newell
789 poss
+0.00C+
8
Zaccharie Risacher
3128 poss
-0.00C
9
Caleb Houstan
62 poss
-0.00C
10
Luke Kennard
2269 poss
-0.00C-
Toughest two-man stretches
Possession context Pro
Best three-man stretches with Onyeka Okongwu
1Onyeka Okongwu's top trio
+0.08412Pro trio sample
+0.07423Pro trio sample
+0.0643Opponent splits
Pro: top 5 / bottom 5Okongwu torches
Torches Okongwu
Wins / 100 poss vs each opponent (≥ 2 games, ≥ 30 possessions). Click an opponent for the team page; single-game matchups link to the game.