Eastern Michigan
2026 Team Stats (29 games)
70.6
PPG
72.9
Opp
-2.3
Margin
44.2%
FG%
31.9%
3P%
73.3%
FT%
36.0
RPG
12.7
APG
12.1
TO
78.5
Pace
68.6
AdjO
73.5
AdjD
#233
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 → | 824 (#316) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 829 (#302) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 888 (#680) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.8 (#234) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +6.3 (#285) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.339 (#265) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.298 (#233) | NetEff -6.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.336 (#231) | AdjNet -5.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.333 (#231) | AdjNet -6.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.390 (#233) | AdjO 68.6 | AdjD 73.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.449 (#494) | AdjO 68.7 | AdjD 71.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.595 (#286) | 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 → | 0.542 (#296) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 881 (#545) | RD 155 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Habhab
|
- | 28 | 36.1 | 14.3 | 8.3 | 3.2 | 0.9 | 1.4 | 2.2 | 13.1 | 12.9 | -55 | -2.6 | -3.3 | 40.3 | 12.9 | 74.8 | -0.02 | 47.0 | 40.9 |
A. Patterson
|
F | 29 | 29.6 | 13.9 | 5.6 | 2.7 | 1.1 | 0.3 | 2.3 | 10.3 | 11.0 | -36 | -1.6 | -2.6 | 56.0 | 31.2 | 75.0 | -0.27 | 61.6 | 59.4 |
C. Hart
|
- | 17 | 32.1 | 13.7 | 5.4 | 2.5 | 1.4 | 0.4 | 2.2 | 10.2 | 10.9 | 34 | 1.9 | 2.7 | 42.2 | 33.3 | 75.6 | 0.59 | 54.8 | 47.7 |
G. Lawson II
|
- | 26 | 17.9 | 7.2 | 1.1 | 0.8 | 0.3 | 0.0 | 0.7 | 6.2 | 2.4 | - | - | - | 41.4 | 43.0 | 90.0 | 0.13 | 54.4 | 51.9 |
J. Sanders
|
G | 25 | 17.2 | 6.4 | 1.0 | 1.1 | 0.5 | 0.0 | 1.1 | 4.9 | 3.0 | -73 | -3.3 | -5.6 | 36.6 | 30.4 | 80.3 | 0.01 | 53.4 | 45.1 |
G. Nwabude
|
- | 28 | 19.6 | 5.5 | 5.7 | 0.2 | 0.6 | 1.7 | 0.6 | 3.8 | 9.4 | -1 | -0.0 | -0.1 | 65.1 | 0.0 | 54.8 | -0.24 | 64.8 | 65.1 |
M. Manciel
|
- | 29 | 13.5 | 5.4 | 1.3 | 0.6 | 0.4 | 0.0 | 0.7 | 4.3 | 2.7 | -38 | -1.7 | -5.9 | 37.9 | 34.7 | 73.2 | -0.56 | 55.3 | 51.2 |
B. Green
|
G | 26 | 20.0 | 4.0 | 1.8 | 1.5 | 0.5 | 0.1 | 0.9 | 4.0 | 3.0 | -7 | -0.3 | -0.9 | 38.5 | 34.1 | 52.4 | 0.1 | 46.4 | 45.2 |
M. Ellison
|
- | 23 | 13.9 | 3.4 | 1.3 | 1.2 | 0.7 | 0.0 | 1.1 | 3.5 | 1.9 | 19 | 0.9 | 3.2 | 34.6 | 25.0 | 75.0 | 0.23 | 43.4 | 38.9 |
A. Rubio
|
G | 29 | 10.0 | 2.9 | 1.3 | 0.4 | 0.3 | 0.2 | 0.4 | 2.9 | 1.9 | -36 | -1.6 | -7.6 | 39.3 | 28.9 | 62.5 | -0.6 | 48.0 | 47.0 |
M. Alderink
|
F | 24 | 7.1 | 1.9 | 1.6 | 0.1 | 0.2 | 0.1 | 0.5 | 1.9 | 1.5 | -43 | -2.3 | -15.4 | 37.0 | 27.3 | 62.5 | -0.67 | 45.4 | 43.5 |
J. Shanu II
|
- | 27 | 9.1 | 1.0 | 1.5 | 0.1 | 0.1 | 0.3 | 0.5 | 0.8 | 1.8 | -26 | -1.3 | -6.8 | 57.1 | 0 | 50.0 | -0.4 | 57.1 | 57.1 |
M. N'Diaye
|
- | 15 | 3.1 | 0.8 | 0.6 | 0.2 | 0.0 | 0.0 | 0.1 | 0.7 | 0.8 | -7 | -0.7 | -18.8 | 60.0 | 0.0 | 0 | -0.32 | 60.0 | 60.0 |
C. Smith
|
- | 5 | 1.6 | 0.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -0.2 | -10 | -2.5 | -94.9 | 20.0 | 0.0 | 0 | -0.27 | 20.0 | 20.0 |
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