Michigan State
2023 Team Stats (23 games)
70.5
PPG
68.9
Opp
+0.8
Margin
45.2%
FG%
39.5%
3P%
76.8%
FT%
34.7
RPG
13.4
APG
10.9
TO
74.2
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 → | 1593 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1446 (#17) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +42.5 (#12) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.548 (#48) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.571 (#132) | NetEff +2.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.770 (#22) | AdjNet +10.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.773 (#22) | AdjNet +10.6 |
2023 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyson Walker
|
- | 25 | 34.2 | 15.6 | 2.6 | 2.6 | 1.3 | 0.2 | 1.3 | 11.5 | 9.5 | - | - | - | 47.7 | 45.3 | 80.0 | - | 63.4 | 54.5 |
A.J. Hoggard
|
G | 25 | 31.4 | 13.5 | 3.6 | 5.6 | 1.0 | 0.3 | 2.6 | 9.0 | 12.3 | - | - | - | 42.9 | 39.1 | 79.3 | 0.02 | 61.8 | 46.9 |
J. Hauser
|
- | 25 | 33.8 | 13.4 | 6.6 | 1.5 | 0.4 | 0.2 | 1.4 | 8.4 | 12.3 | - | - | - | 45.7 | 45.5 | 87.7 | - | 69.0 | 57.6 |
Jaden Akins
|
G | 22 | 29.0 | 10.0 | 3.9 | 1.2 | 1.3 | 0.4 | 1.3 | 8.8 | 6.7 | - | - | - | 41.8 | 39.8 | 69.2 | - | 53.5 | 50.8 |
Malik Hall
|
- | 18 | 25.4 | 7.9 | 4.6 | 1.3 | 0.7 | 0.3 | 1.6 | 6.6 | 6.7 | 8 | 0.5 | 0.6 | 38.1 | 25.0 | 84.6 | 1.31 | 52.5 | 41.5 |
Mady Sissoko
|
- | 25 | 21.0 | 5.1 | 6.0 | 0.4 | 0.2 | 1.0 | 1.2 | 2.2 | 9.1 | - | - | - | 66.1 | 0 | 61.5 | 0.16 | 86.8 | 66.1 |
J. Kohler
|
F | 25 | 10.2 | 2.7 | 2.6 | 0.2 | 0.1 | 0.4 | 0.6 | 2.3 | 3.0 | 4 | 0.3 | 0.5 | 56.1 | 0.0 | 20.0 | 0.97 | 56.6 | 56.1 |
Pierre Brooks
|
F | 20 | 11.1 | 1.9 | 1.2 | 0.1 | 0.0 | 0.0 | 0.3 | 2.4 | 0.6 | 41 | 3.2 | 5.2 | 25.0 | 23.5 | 100.0 | 0.89 | 39.9 | 33.3 |
C. Cooper
|
C | 21 | 7.3 | 1.7 | 1.0 | 0.1 | 0.1 | 0.4 | 0.2 | 0.6 | 2.5 | -4 | -0.3 | -0.4 | 92.3 | 0 | 41.7 | 0.67 | 95.7 | 92.3 |
T. Holloman
|
G | 25 | 7.7 | 1.2 | 0.7 | 0.5 | 0.1 | 0.0 | 0.4 | 1.0 | 1.1 | -51 | -5.1 | -9.5 | 38.5 | 40.0 | 50.0 | 0.23 | 54.0 | 42.3 |
J. Whitens
|
- | 13 | 3.7 | 0.3 | 0.5 | 0.2 | 0.2 | 0.0 | 0.1 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
P. Nwoke
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
N. Sanders
|
G | 3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Steven Izzo
|
- | 4 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -0.5 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
Davis Smith
|
- | 8 | 1.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.1 | -0.2 | 89 | 9.9 | 11.2 | 0.0 | 0.0 | 0 | 1.42 | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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