Chicago
2023 Team Stats (82 games)
112.4
PPG
111.8
Opp
+1.3
Margin
48.8%
FG%
35.4%
3P%
80.5%
FT%
42.0
RPG
24.2
APG
12.5
TO
108.9
Pace
115.2
AdjO
111.6
AdjD
#12
Rank
Model Outputs
2022-2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1016 (#29) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1016 (#31) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.8 (#22) | HCA +2.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.541 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.530 (#14) | NetEff +1.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.594 (#11) | AdjNet +3.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.595 (#11) | AdjNet +3.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.579 (#12) | AdjO 115.2 | AdjD 111.6 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-10-19 | @ | MIA | W | 116 - 108 |
| 2022-10-21 | @ | WAS | L | 100 - 102 |
| 2022-10-23 | vs | CLE | L | 96 - 128 |
| 2022-10-25 | vs | BOS | W | 120 - 102 |
| 2022-10-27 | vs | IND | W | 124 - 109 |
| 2022-10-29 | @ | SAS | L | 124 - 129 |
| 2022-10-30 | vs | PHI | L | 109 - 114 |
| 2022-11-01 | @ | BKN | W | 108 - 99 |
| 2022-11-03 | vs | CHA | W | 106 - 88 |
| 2022-11-04 | @ | BOS | L | 119 - 123 |
| 2022-11-06 | @ | TOR | L | 104 - 113 |
| 2022-11-08 | vs | TOR | W | 111 - 97 |
| 2022-11-10 | vs | NOP | L | 111 - 115 |
| 2022-11-14 | vs | DEN | L | 103 - 126 |
| 2022-11-17 | @ | NOP | L | 110 - 124 |
| 2022-11-19 | vs | ORL | L | 107 - 108 |
| 2022-11-22 | vs | BOS | W | 121 - 107 |
| 2022-11-24 | @ | MIL | W | 118 - 113 |
| 2022-11-26 | @ | OKC | L | 119 - 123 |
| 2022-11-29 | @ | UTA | W | 114 - 107 |
| 2022-12-01 | @ | PHX | L | 113 - 132 |
| 2022-12-03 | @ | GSW | L | 111 - 119 |
| 2022-12-04 | @ | SAC | L | 101 - 110 |
| 2022-12-08 | vs | WAS | W | 115 - 111 |
| 2022-12-11 | vs | DAL | W | 144 - 115 |
| 2022-12-11 | @ | ATL | L | 122 - 123 |
| 2022-12-15 | vs | NYK | L | 120 - 128 |
| 2022-12-17 | vs | NYK | L | 91 - 114 |
| 2022-12-19 | @ | MIN | L | 126 - 150 |
| 2022-12-21 | @ | MIA | W | 113 - 103 |
| 2022-12-22 | @ | ATL | W | 110 - 108 |
| 2022-12-24 | @ | NYK | W | 118 - 117 |
| 2022-12-27 | vs | HOU | L | 118 - 133 |
| 2022-12-29 | vs | MIL | W | 119 - 113 |
| 2022-12-31 | vs | DET | W | 132 - 118 |
| 2023-01-01 | vs | CLE | L | 102 - 103 |
| 2023-01-03 | @ | CLE | L | 134 - 145 |
| 2023-01-05 | vs | BKN | W | 121 - 112 |
| 2023-01-07 | @ | PHI | W | 126 - 112 |
| 2023-01-08 | vs | UTA | W | 126 - 118 |
| 2023-01-10 | @ | BOS | L | 99 - 107 |
| 2023-01-12 | @ | WAS | L | 97 - 100 |
| 2023-01-14 | vs | OKC | L | 110 - 124 |
| 2023-01-15 | vs | GSW | W | 132 - 118 |
| 2023-01-19 | @ | DET | W | 126 - 108 |
| 2023-01-24 | vs | ATL | W | 111 - 100 |
| 2023-01-25 | @ | IND | L | 110 - 116 |
| 2023-01-27 | @ | CHA | L | 96 - 111 |
| 2023-01-29 | @ | ORL | W | 128 - 109 |
| 2023-02-01 | vs | LAC | L | 103 - 108 |
| 2023-02-03 | vs | CHA | W | 114 - 98 |
| 2023-02-05 | vs | POR | W | 129 - 121 |
| 2023-02-07 | vs | SAS | W | 128 - 104 |
| 2023-02-08 | @ | MEM | L | 89 - 104 |
| 2023-02-10 | @ | BKN | L | 105 - 116 |
| 2023-02-12 | @ | CLE | L | 89 - 97 |
| 2023-02-14 | vs | ORL | L | 91 - 100 |
| 2023-02-16 | @ | IND | L | 113 - 117 |
| 2023-02-17 | vs | MIL | L | 100 - 112 |
| 2023-02-25 | vs | BKN | W | 131 - 87 |
| 2023-02-26 | vs | WAS | W | 102 - 82 |
| 2023-03-01 | @ | TOR | L | 98 - 104 |
| 2023-03-02 | @ | DET | W | 117 - 115 |
| 2023-03-04 | vs | PHX | L | 104 - 125 |
| 2023-03-05 | vs | IND | L | 122 - 125 |
| 2023-03-09 | @ | DEN | W | 117 - 96 |
| 2023-03-12 | @ | HOU | W | 119 - 111 |
| 2023-03-16 | vs | SAC | L | 114 - 117 |
| 2023-03-18 | vs | MIN | W | 139 - 131 |
| 2023-03-19 | vs | MIA | W | 113 - 99 |
| 2023-03-20 | @ | PHI | W | 109 - 105 |
| 2023-03-23 | vs | PHI | L | 91 - 116 |
| 2023-03-25 | @ | POR | W | 124 - 96 |
| 2023-03-26 | @ | LAL | W | 118 - 108 |
| 2023-03-28 | @ | LAC | L | 112 - 124 |
| 2023-03-30 | vs | LAL | L | 110 - 121 |
| 2023-03-31 | @ | CHA | W | 121 - 91 |
| 2023-04-02 | vs | MEM | W | 128 - 107 |
| 2023-04-05 | vs | ATL | L | 105 - 123 |
| 2023-04-05 | @ | MIL | L | 92 - 105 |
| 2023-04-08 | @ | DAL | W | 115 - 112 |
| 2023-04-09 | vs | DET | W | 103 - 81 |
2023 Roster
Minutes by Position
The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach LaVine
|
SG | 77 | 35.5 | 24.8 | 4.5 | 4.2 | 0.9 | 0.2 | 0.0 | 18.0 | 16.7 | - | - | - | 48.5 | 37.5 | 84.8 | - | 60.7 | 55.8 |
DeMar DeRozan
|
SF | 74 | 35.6 | 24.5 | 4.6 | 5.1 | 1.1 | 0.5 | 0.0 | 17.6 | 18.3 | - | - | - | 50.4 | 32.4 | 87.2 | - | 59.2 | 52.2 |
Nikola Vucevic
|
C | 82 | 33.0 | 17.6 | 11.0 | 3.2 | 0.7 | 0.7 | 0.0 | 14.0 | 19.3 | - | - | - | 52.0 | 34.9 | 83.5 | - | 59.4 | 57.3 |
Patrick Williams
|
PF | 82 | 27.9 | 10.2 | 4.0 | 1.2 | 0.9 | 0.9 | 0.0 | 8.3 | 8.8 | - | - | - | 46.4 | 41.5 | 85.7 | - | 57.6 | 54.9 |
Coby White
|
SG | 74 | 22.9 | 9.7 | 2.9 | 2.8 | 0.7 | 0.1 | 0.0 | 8.0 | 8.1 | - | - | - | 44.3 | 37.2 | 87.1 | - | 57.2 | 55.1 |
Ayo Dosunmu
|
SG | 80 | 25.7 | 8.6 | 2.7 | 2.6 | 0.8 | 0.3 | 0.0 | 7.1 | 7.9 | - | - | - | 49.3 | 31.2 | 80.5 | - | 56.7 | 54.5 |
Goran Dragic
|
- | 51 | 15.0 | 6.4 | 1.4 | 2.7 | 0.2 | 0.1 | 0.0 | 5.9 | 4.9 | - | - | - | 42.5 | 35.2 | 65.9 | - | 51.4 | 50.0 |
Andre Drummond
|
- | 67 | 12.2 | 6.0 | 6.6 | 0.5 | 0.7 | 0.4 | 0.0 | 4.1 | 10.1 | - | - | - | 60.6 | 0.0 | 53.6 | - | 60.6 | 60.6 |
Patrick Beverley
|
SG | 22 | 27.1 | 5.8 | 4.9 | 3.5 | 1.0 | 0.7 | 0.0 | 5.4 | 10.5 | - | - | - | 39.5 | 30.9 | 53.3 | - | 50.6 | 50.0 |
Alex Caruso
|
SG | 67 | 23.0 | 5.6 | 2.9 | 2.9 | 1.4 | 0.7 | 0.0 | 4.3 | 9.2 | - | - | - | 45.5 | 36.4 | 80.8 | - | 58.8 | 55.1 |
| Javonte Green | PF | 32 | 14.5 | 5.2 | 2.8 | 0.7 | 0.8 | 0.6 | 0.0 | 3.4 | 6.6 | - | - | - | 56.5 | 37.1 | 66.7 | - | 64.6 | 62.5 |
Derrick Jones Jr.
|
- | 64 | 13.5 | 5.0 | 2.4 | 0.5 | 0.5 | 0.6 | 0.0 | 3.6 | 5.4 | - | - | - | 50.0 | 33.8 | 73.8 | - | 59.7 | 55.9 |
Terry Taylor
|
- | 5 | 6.8 | 4.0 | 1.6 | 0.0 | 0.0 | 0.2 | 0.0 | 2.0 | 3.8 | - | - | - | 90.0 | 100.0 | 25.0 | - | 85.0 | 95.0 |
Carlik Jones
|
- | 7 | 7.6 | 2.9 | 0.7 | 0.9 | 0.3 | 0.0 | 0.0 | 2.1 | 2.6 | - | - | - | 40.0 | 50.0 | 62.5 | - | 54.0 | 50.0 |
Dalen Terry
|
- | 38 | 5.2 | 2.2 | 1.0 | 0.6 | 0.3 | 0.1 | 0.0 | 1.9 | 2.3 | - | - | - | 44.4 | 25.9 | 66.7 | - | 52.3 | 49.3 |
Tony Bradley
|
- | 12 | 2.4 | 1.6 | 0.9 | 0.1 | 0.1 | 0.1 | 0.0 | 1.0 | 1.8 | - | - | - | 50.0 | 60.0 | 100.0 | - | 69.0 | 62.5 |
Malcolm Hill
|
- | 5 | 1.4 | 1.0 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | 0.8 | - | - | - | 50.0 | 33.3 | 0 | - | 62.5 | 62.5 |
Marko Simonovic
|
- | 7 | 2.3 | 0.9 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.1 | - | - | - | 28.6 | 25.0 | 50.0 | - | 38.1 | 35.7 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG