Detroit Mercy
2026 Team Stats (31 games)
77.4
PPG
78.0
Opp
-0.7
Margin
44.4%
FG%
34.9%
3P%
77.6%
FT%
37.7
RPG
13.0
APG
11.5
TO
82.0
Pace
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 → | 1074 (#114) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 959 (#215) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1049 (#103) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.5 (#229) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.6 (#163) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.362 (#241) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.409 (#230) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.536 (#126) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1027 (#159) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
O. Lovejoy
|
G | 29 | 30.8 | 16.0 | 3.4 | 3.6 | 1.6 | 0.1 | 1.9 | 12.6 | 10.3 | -96 | -4.4 | -7.4 | 45.1 | 14.8 | 88.6 | -0.82 | 54.0 | 45.6 |
T. Nadeau
|
G | 30 | 26.3 | 13.4 | 3.2 | 1.0 | 0.6 | 0.2 | 0.9 | 9.3 | 8.0 | -41 | -2.0 | -4.0 | 48.2 | 45.5 | 86.7 | -0.15 | 64.1 | 60.0 |
Ayden Carter
|
- | 9 | 20.6 | 12.2 | 4.3 | 1.2 | 1.1 | 0.1 | 2.0 | 8.7 | 8.3 | -26 | -2.9 | -6.9 | 55.1 | 22.2 | 76.9 | -0.56 | 61.5 | 57.7 |
T. Spratt
|
- | 30 | 24.6 | 9.9 | 3.5 | 1.5 | 0.7 | 0.3 | 1.0 | 7.8 | 7.2 | -25 | -1.2 | -2.7 | 41.6 | 39.1 | 78.1 | -0.32 | 56.7 | 52.8 |
L. Geeter
|
F | 27 | 25.4 | 8.3 | 6.5 | 2.3 | 0.6 | 0.3 | 1.7 | 6.0 | 10.2 | -51 | -2.8 | -5.6 | 49.4 | 33.3 | 69.6 | -0.55 | 57.2 | 52.5 |
Lance Stone
|
- | 30 | 20.7 | 6.7 | 1.3 | 2.0 | 0.4 | 0.0 | 1.2 | 6.1 | 3.0 | - | - | - | 32.8 | 33.7 | 89.1 | - | 48.3 | 41.3 |
L. Maiden
|
- | 30 | 14.6 | 5.9 | 3.0 | 0.4 | 0.2 | 0.2 | 1.2 | 4.4 | 4.1 | -27 | -1.3 | -4.0 | 54.1 | 0 | 61.5 | -0.31 | 56.5 | 54.1 |
Keshawn Fisher
|
- | 18 | 12.1 | 5.9 | 2.3 | 0.9 | 0.6 | 0.4 | 1.2 | 5.3 | 3.7 | -29 | -1.4 | -6.1 | 43.2 | 27.5 | 82.4 | -0.3 | 52.2 | 48.9 |
R. Kalambay
|
F | 30 | 19.9 | 4.1 | 5.3 | 0.5 | 0.8 | 1.3 | 0.6 | 2.7 | 8.6 | -9 | -0.4 | -1.3 | 57.3 | 0 | 70.0 | -0.26 | 61.2 | 57.3 |
N. Johnson
|
G | 24 | 10.8 | 3.0 | 2.0 | 0.4 | 0.4 | 0.1 | 0.5 | 3.2 | 2.2 | -48 | -2.3 | -11.1 | 32.5 | 16.7 | 58.1 | -0.06 | 39.7 | 35.1 |
Je'Kel Cotton
|
- | 25 | 7.6 | 2.2 | 2.6 | 0.2 | 0.1 | 0.1 | 0.2 | 2.3 | 2.7 | -19 | -1.4 | -7.5 | 34.5 | 28.9 | 50.0 | -0.55 | 44.9 | 44.0 |
J. Lary
|
G | 25 | 9.1 | 2.0 | 1.6 | 0.7 | 0.2 | 0.1 | 0.6 | 2.5 | 1.6 | -25 | -1.2 | -5.5 | 30.2 | 22.7 | 72.7 | -0.74 | 37.6 | 34.1 |
Xavier Istomin-Monroe
|
- | 18 | 8.6 | 1.9 | 1.8 | 0.1 | 0.0 | 0.4 | 0.6 | 1.6 | 2.1 | 15 | 0.9 | 4.8 | 57.1 | 0 | 25.0 | -0.02 | 52.6 | 57.1 |
Zak Abdalla
|
- | 3 | 2.3 | 1.7 | 0.3 | 0.3 | 0.3 | 0.0 | 0.0 | 0.7 | 2.0 | 5 | 1.7 | 88.2 | 50.0 | 100.0 | 100.0 | -0.06 | 86.8 | 75.0 |
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