Rutgers Scarlet Knights
2023 Team Stats (8 games)
60.3
PPG
83.6
Opp
-23.4
Margin
40.9%
FG%
27.8%
3P%
77.2%
FT%
31.0
RPG
9.1
APG
18.9
TO
80.5
Pace
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 → | 1008 (#201) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1122 (#136) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +21.6 (#141) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.159 (#303) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-04 | vs | Ohio State Buckeyes | L | 70 - 82 |
| 2023-01-02 | vs | Maryland Terrapins | L | 67 - 78 |
| 2023-01-15 | @ | Maryland Terrapins | L | 56 - 80 |
| 2023-01-19 | vs | Michigan Wolverines | L | 58 - 81 |
| 2023-01-29 | @ | Indiana Hoosiers | L | 68 - 91 |
| 2023-02-12 | @ | Iowa Hawkeyes | L | 57 - 111 |
| 2023-02-23 | @ | Michigan Wolverines | L | 53 - 71 |
| 2023-02-26 | vs | Illinois Fighting Illini | L | 53 - 75 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Smikle
|
G | 8 | 34.4 | 21.0 | 4.8 | 1.4 | 2.9 | 0.5 | 3.8 | 15.6 | 11.1 | - | - | - | 44.8 | 40.5 | 80.4 | - | 57.0 | 50.8 |
K. Brown
|
C | 8 | 22.9 | 9.1 | 3.5 | 0.5 | 0.9 | 0.5 | 2.2 | 7.6 | 4.6 | - | - | - | 49.2 | 27.3 | 90.9 | - | 55.4 | 51.6 |
K. Carter
|
G | 8 | 30.5 | 8.9 | 3.6 | 2.6 | 0.9 | 0.1 | 3.1 | 9.1 | 3.9 | - | - | - | 37.0 | 35.3 | 68.8 | - | 44.4 | 41.1 |
C. Cornwell
|
C | 8 | 25.4 | 7.0 | 7.1 | 0.4 | 0.6 | 0.5 | 1.5 | 5.9 | 8.2 | - | - | - | 42.6 | 0 | 72.7 | - | 49.4 | 42.6 |
A. Sidibe
|
G | 8 | 31.1 | 6.4 | 4.2 | 2.4 | 1.2 | 0.4 | 4.1 | 7.0 | 3.5 | - | - | - | 41.1 | 0.0 | 71.4 | - | 43.2 | 41.1 |
E. Lafayette
|
G | 8 | 20.5 | 4.4 | 1.8 | 1.0 | 0.1 | 0.0 | 0.9 | 4.9 | 1.5 | - | - | - | 38.5 | 15.4 | 75.0 | - | 42.9 | 41.0 |
A. Streeter
|
G | 8 | 16.5 | 1.8 | 1.1 | 0.2 | 0.1 | 0.1 | 0.5 | 2.5 | 0.4 | - | - | - | 25.0 | 21.1 | 0 | - | 35.0 | 35.0 |
A. Bates
|
G | 8 | 18.8 | 1.8 | 1.9 | 0.6 | 0.6 | 0.6 | 1.6 | 2.8 | 1.1 | - | - | - | 22.7 | 13.3 | 66.7 | - | 30.0 | 27.3 |
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