Michigan State Spartans
2025 Team Stats (25 games)
74.4
PPG
67.4
Opp
+7.0
Margin
43.4%
FG%
32.2%
3P%
74.6%
FT%
35.3
RPG
16.9
APG
15.6
TO
86.0
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1047 (#128) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +35.8 (#24) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.773 (#31) | AdjO 75.2 | AdjD 61.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.969 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.953 (#23) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1274 (#33) | RD 115 | GP 32 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
G. VanSlooten
|
F | 24 | 27.8 | 15.0 | 6.9 | 1.6 | 1.1 | 1.1 | 2.4 | 11.5 | 11.8 | 32 | 1.0 | 1.2 | 50.9 | 0 | 65.3 | 0.98 | 54.6 | 50.9 |
J. Ayrault
|
G | 25 | 26.4 | 13.8 | 6.9 | 2.0 | 1.1 | 1.5 | 1.7 | 11.6 | 11.9 | 31 | 1.0 | 1.1 | 41.0 | 33.0 | 81.9 | 0.77 | 52.7 | 47.6 |
T. Hallock
|
G | 25 | 25.2 | 13.7 | 2.3 | 2.7 | 1.8 | 0.2 | 2.5 | 12.6 | 5.6 | 70 | 2.2 | 2.7 | 40.1 | 29.6 | 84.7 | 1.72 | 50.3 | 46.5 |
J. Tate
|
G | 25 | 24.9 | 7.6 | 4.1 | 1.8 | 2.2 | 0.5 | 2.4 | 6.8 | 7.0 | -79 | -2.3 | -3.7 | 42.7 | 34.4 | 66.7 | -0.48 | 49.4 | 45.9 |
J. Simmons
|
G | 25 | 27.4 | 6.4 | 4.0 | 3.3 | 1.7 | 0.1 | 1.8 | 4.3 | 9.4 | 31 | 1.0 | 1.2 | 41.7 | 26.3 | 82.2 | 1.02 | 57.1 | 46.3 |
I. Sotelo
|
C | 25 | 17.9 | 6.2 | 3.1 | 1.0 | 0.8 | 0.5 | 1.6 | 5.0 | 5.0 | 7 | 0.2 | 0.5 | 47.2 | 29.3 | 75.0 | 0.56 | 55.4 | 52.0 |
E. Shumate
|
G | 25 | 16.8 | 4.8 | 1.3 | 0.7 | 0.4 | 0.4 | 0.5 | 3.7 | 3.4 | 45 | 1.3 | 2.9 | 44.1 | 41.9 | 33.3 | 0.99 | 63.1 | 63.4 |
N. Hampton
|
G | 25 | 24.5 | 4.6 | 1.9 | 2.7 | 1.8 | 0.6 | 1.4 | 4.5 | 5.7 | -12 | -0.4 | -0.6 | 39.8 | 23.5 | 69.6 | 0.24 | 46.3 | 43.4 |
J. Woodard
|
F | 7 | 5.6 | 3.1 | 1.4 | 0.3 | 0.3 | 0.1 | 0.6 | 2.7 | 2.0 | 0 | 0.0 | 0.0 | 36.8 | 33.3 | 71.4 | -0.86 | 49.8 | 44.7 |
K. Blair
|
G | 13 | 8.4 | 2.4 | 1.8 | 1.2 | 0.4 | 0.2 | 1.2 | 2.0 | 2.8 | 2 | 0.1 | 0.5 | 46.2 | 25.0 | 71.4 | -0.35 | 53.3 | 50.0 |
A. Kimball
|
G | 9 | 6.8 | 1.4 | 0.4 | 0.7 | 0.1 | 0.0 | 0.3 | 1.4 | 0.9 | 21 | 1.3 | 4.7 | 30.8 | 27.3 | 100.0 | -0.21 | 46.8 | 42.3 |
S. Douglas
|
G | 5 | 3.0 | 1.4 | 0.8 | 0.2 | 0.0 | 0.0 | 0.2 | 1.0 | 1.2 | 0 | 0.0 | 0.0 | 60.0 | 100.0 | 0 | -1.02 | 70.0 | 70.0 |
H. Holley
|
F | 4 | 3.5 | 0.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 0.5 | 0 | 0.0 | 0.0 | 50.0 | 0 | 0 | -1.12 | 50.0 | 50.0 |
M. Meng
|
F | 4 | 4.8 | 0.2 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.8 | 0.8 | 0 | 0.0 | 0.0 | 0.0 | 0 | 50.0 | -1.0 | 12.9 | 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