Michigan State
2026 Team Stats (35 games)
78.8
PPG
68.3
Opp
+10.5
Margin
47.2%
FG%
36.3%
3P%
76.4%
FT%
39.7
RPG
18.6
APG
11.6
TO
79.2
Pace
84.0
AdjO
61.8
AdjD
#11
Rank
Model Outputs
2025-2026
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 → | 1343 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1335 (#12) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1121 (#39) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.3 (#11) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +33.8 (#12) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.837 (#18) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.956 (#22) | NetEff +27.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.971 (#11) | AdjNet +30.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.971 (#11) | AdjNet +30.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.883 (#11) | AdjO 84.0 | AdjD 61.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.780 (#14) | AdjO 80.7 | AdjD 66.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.958 (#12) | 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 → | 0.943 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1349 (#13) | RD 97 | GP 35 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Fears Jr.
|
G | 35 | 32.4 | 15.2 | 2.4 | 9.4 | 1.3 | 0.0 | 2.5 | 10.4 | 15.5 | 278 | 11.6 | 17.6 | 43.1 | 32.1 | 88.5 | 2.33 | 58.5 | 47.9 |
J. Kohler
|
F | 35 | 27.7 | 12.5 | 8.9 | 1.3 | 0.6 | 0.7 | 1.4 | 9.4 | 13.3 | 277 | 11.5 | 25.7 | 50.0 | 38.9 | 86.9 | 2.07 | 61.9 | 58.8 |
C. Carr
|
F | 35 | 29.3 | 12.0 | 5.4 | 1.2 | 0.5 | 0.8 | 1.4 | 8.5 | 10.0 | 232 | 10.5 | 16.2 | 51.8 | 27.6 | 62.9 | 2.02 | 58.2 | 55.4 |
C. Cooper
|
C | 35 | 26.7 | 11.1 | 7.1 | 1.5 | 0.6 | 1.0 | 1.5 | 6.6 | 13.0 | 174 | 7.9 | 16.4 | 58.4 | 40.0 | 78.8 | 0.92 | 65.5 | 58.9 |
K. Teng
|
G | 35 | 17.5 | 7.3 | 2.0 | 1.0 | 0.3 | 0.1 | 0.8 | 6.9 | 3.0 | 209 | 9.5 | 25.1 | 37.9 | 38.1 | 81.0 | 1.86 | 51.2 | 49.6 |
Jordan Scott
|
- | 35 | 20.8 | 5.8 | 3.1 | 1.2 | 0.7 | 0.5 | 0.9 | 4.7 | 5.7 | 156 | 7.1 | 17.8 | 41.1 | 37.0 | 70.2 | 1.6 | 55.5 | 52.5 |
D. Ugochukwu
|
G | 22 | 16.0 | 5.1 | 1.5 | 1.5 | 0.4 | 0.1 | 0.7 | 3.8 | 4.3 | 96 | 4.6 | 12.1 | 50.6 | 44.2 | 55.6 | 0.82 | 62.1 | 62.0 |
Cameron Ward
|
- | 34 | 15.3 | 5.1 | 4.2 | 0.3 | 0.4 | 0.5 | 0.9 | 3.6 | 5.9 | 117 | 5.6 | 16.9 | 58.9 | 0.0 | 51.0 | 1.15 | 58.7 | 58.9 |
T. Fort
|
G | 33 | 10.2 | 4.2 | 1.3 | 0.6 | 0.2 | 0.2 | 0.6 | 4.0 | 1.9 | 18 | 0.8 | 3.2 | 35.1 | 34.5 | 88.9 | -0.14 | 49.3 | 46.2 |
J. McCulloch
|
- | 28 | 7.4 | 2.4 | 1.3 | 0.2 | 0.1 | 0.5 | 0.3 | 1.7 | 2.5 | 11 | 0.5 | 2.7 | 47.9 | 50.0 | 92.9 | 0.02 | 62.8 | 57.3 |
D. Wojcik
|
- | 31 | 5.4 | 0.5 | 0.3 | 1.2 | 0.3 | 0.0 | 0.5 | 0.7 | 1.0 | 12 | 0.7 | 4.9 | 28.6 | 0.0 | 50.0 | 0.33 | 31.7 | 28.6 |
N. Sanders
|
G | 14 | 1.7 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.2 | -11 | -1.0 | -27.9 | 33.3 | 50.0 | 0 | -0.06 | 50.0 | 50.0 |
B. Walton
|
- | 12 | 1.4 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.1 | 0.3 | 0.4 | -11 | -1.1 | -41.1 | 50.0 | 50.0 | 0 | -0.06 | 62.5 | 62.5 |
C. Walton
|
- | 12 | 1.4 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.4 | -11 | -1.1 | -41.1 | 100.0 | 100.0 | 0 | -0.06 | 150.0 | 150.0 |
K. Glenn
|
F | 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