Michigan State
2024 Team Stats (35 games)
72.9
PPG
66.1
Opp
+6.8
Margin
46.1%
FG%
36.3%
3P%
70.8%
FT%
34.7
RPG
15.9
APG
10.0
TO
76.4
Pace
Model Outputs
2023-2024
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 → | 1538 (#7) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1443 (#16) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +42.0 (#12) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.639 (#26) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.756 (#39) | NetEff +10.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.808 (#13) | AdjNet +12.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.810 (#13) | AdjNet +12.6 |
2024 Schedule & Results
2024 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
|
- | 34 | 32.9 | 18.4 | 2.9 | 2.8 | 1.9 | 0.1 | 1.4 | 15.6 | 9.1 | -7 | -0.7 | -0.9 | 44.9 | 37.6 | 74.6 | 0.01 | 53.9 | 50.9 |
Malik Hall
|
- | 35 | 28.6 | 12.7 | 5.7 | 1.9 | 0.5 | 0.3 | 1.4 | 9.0 | 10.6 | -27 | -2.7 | -3.7 | 52.5 | 32.8 | 72.8 | -0.03 | 59.7 | 55.7 |
A.J. Hoggard
|
G | 35 | 28.7 | 10.7 | 3.1 | 5.2 | 1.4 | 0.3 | 1.8 | 9.3 | 9.7 | -9 | -0.9 | -1.3 | 40.7 | 34.7 | 78.7 | -0.07 | 50.3 | 44.6 |
Jaden Akins
|
G | 35 | 28.5 | 10.4 | 3.9 | 1.2 | 1.1 | 0.4 | 1.0 | 9.8 | 6.1 | -14 | -1.4 | -2.2 | 41.0 | 36.4 | 73.9 | -0.01 | 51.3 | 50.3 |
T. Holloman
|
G | 35 | 19.7 | 5.7 | 1.6 | 2.4 | 0.6 | 0.3 | 0.9 | 4.4 | 5.3 | 49 | 4.9 | 11.5 | 47.1 | 42.5 | 80.0 | 0.8 | 60.2 | 58.1 |
X. Booker
|
F | 27 | 9.3 | 3.7 | 1.7 | 0.2 | 0.1 | 0.5 | 0.3 | 3.0 | 3.0 | 24 | 2.4 | 10.1 | 43.9 | 33.3 | 63.2 | 0.23 | 55.3 | 53.7 |
J. Fears Jr.
|
G | 12 | 15.2 | 3.5 | 1.9 | 3.3 | 0.8 | 0.2 | 1.1 | 2.5 | 6.2 | 113 | 14.1 | 74.9 | 50.0 | 16.7 | 64.7 | 0.6 | 56.0 | 51.7 |
C. Cooper
|
C | 35 | 17.0 | 3.4 | 4.4 | 0.5 | 0.4 | 0.7 | 0.7 | 2.1 | 6.5 | -47 | -4.7 | -13.6 | 53.3 | 0 | 63.3 | -0.62 | 58.2 | 53.3 |
Mady Sissoko
|
- | 35 | 15.2 | 3.3 | 5.1 | 0.3 | 0.2 | 0.4 | 0.9 | 2.1 | 6.3 | -13 | -0.9 | -6.5 | 56.8 | 0 | 70.5 | -0.12 | 61.6 | 56.8 |
C. Carr
|
F | 35 | 11.6 | 3.1 | 1.8 | 0.3 | 0.5 | 0.5 | 0.5 | 1.8 | 3.9 | 3 | 0.8 | 5.7 | 65.1 | 0 | 56.0 | 0.01 | 64.7 | 65.1 |
J. Kohler
|
F | 21 | 9.2 | 2.0 | 2.0 | 0.2 | 0.1 | 0.5 | 0.4 | 2.2 | 2.2 | 41 | 4.1 | 15.3 | 43.5 | 0.0 | 28.6 | 0.62 | 42.8 | 43.5 |
Davis Smith
|
- | 12 | 2.3 | 1.1 | 0.2 | 0.2 | 0.0 | 0.1 | 0.1 | 0.8 | 0.6 | 3 | 1.0 | 53.3 | 30.0 | 40.0 | 71.4 | 0.05 | 49.7 | 40.0 |
N. Sanders
|
G | 9 | 1.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -0.1 | -1 | -1.0 | -52.2 | 25.0 | 33.3 | 0 | -0.03 | 37.5 | 37.5 |
Steven Izzo
|
- | 10 | 1.3 | 0.3 | 0.4 | 0.2 | 0.0 | 0.0 | 0.1 | 0.5 | 0.3 | 2 | 1.0 | 47.5 | 20.0 | 0.0 | 33.3 | 0.03 | 23.7 | 20.0 |
G. Normand
|
G | 0 | - | 0.0 | 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