Mercer
2026 Team Stats (31 games)
82.1
PPG
75.8
Opp
+5.7
Margin
46.1%
FG%
35.1%
3P%
73.0%
FT%
37.1
RPG
13.5
APG
10.5
TO
81.9
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 → | 977 (#195) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1002 (#179) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#181) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -1.9 (#190) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.0 (#187) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.592 (#127) | - |
| 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 → | 0.470 (#186) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.521 (#141) | - |
| 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 → | 953 (#217) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Okojie
|
G | 30 | 34.1 | 19.5 | 3.1 | 5.4 | 1.4 | 0.1 | 2.7 | 13.1 | 13.7 | 75 | 3.4 | 5.7 | 43.1 | 32.8 | 82.0 | -0.3 | 58.1 | 48.0 |
Z. Williams
|
- | 30 | 28.9 | 13.0 | 3.3 | 1.6 | 1.4 | 0.1 | 1.3 | 10.2 | 7.9 | 158 | 6.1 | 14.4 | 43.3 | 36.2 | 82.6 | 0.74 | 58.0 | 54.4 |
A. Mighty
|
- | 30 | 31.4 | 13.0 | 10.5 | 1.1 | 0.6 | 1.7 | 1.6 | 8.2 | 17.1 | 191 | 8.3 | 15.1 | 62.9 | 0.0 | 54.4 | 1.09 | 62.6 | 62.9 |
B. Shoulders
|
G | 28 | 30.7 | 9.4 | 6.9 | 1.8 | 1.7 | 0.2 | 1.4 | 7.5 | 11.2 | 29 | 1.3 | 2.3 | 43.3 | 32.5 | 70.9 | -0.1 | 53.7 | 49.3 |
Q. Perkins II
|
- | 26 | 24.0 | 9.1 | 1.6 | 1.7 | 0.8 | 0.3 | 1.1 | 7.3 | 5.0 | 65 | 3.4 | 7.6 | 43.5 | 41.4 | 84.6 | -0.15 | 58.3 | 56.0 |
K. Cuffe Jr.
|
G | 29 | 16.3 | 7.0 | 1.7 | 0.3 | 0.8 | 0.1 | 0.8 | 6.4 | 2.7 | 120 | 7.1 | 12.0 | 38.0 | 32.7 | 75.0 | 0.82 | 50.0 | 47.1 |
C. Serven
|
F | 26 | 21.2 | 6.4 | 4.0 | 1.0 | 0.5 | 0.9 | 0.9 | 4.7 | 7.2 | 97 | 5.1 | 17.1 | 55.4 | 33.3 | 67.6 | 0.24 | 60.8 | 58.7 |
T. Gross
|
- | 26 | 13.5 | 3.8 | 1.9 | 0.6 | 0.4 | 0.1 | 0.4 | 3.1 | 3.4 | 69 | 3.1 | 12.4 | 46.2 | 42.5 | 75.0 | 0.18 | 58.6 | 56.9 |
Jaydon Cole
|
- | 6 | 5.0 | 3.2 | 1.3 | 0.8 | 0.2 | 0.0 | 0.2 | 2.8 | 2.5 | 31 | 4.4 | 193.8 | 41.2 | 30.8 | 50.0 | 0.03 | 53.1 | 52.9 |
B. Pierre
|
- | 20 | 8.4 | 2.9 | 0.9 | 0.1 | 0.3 | 0.1 | 0.2 | 3.2 | 1.0 | 29 | 1.7 | 16.1 | 31.2 | 25.6 | 60.0 | -0.55 | 41.7 | 39.8 |
B. Carlsen
|
- | 7 | 5.0 | 2.4 | 0.9 | 0.6 | 0.3 | 0.3 | 0.4 | 3.1 | 0.9 | 31 | 4.4 | 148.8 | 27.3 | 20.0 | 100.0 | 0.03 | 37.2 | 34.1 |
A. Koch
|
F | 4 | 3.2 | 1.5 | 1.5 | 0.2 | 0.0 | 0.0 | 0.5 | 0.8 | 2.0 | 6 | 1.2 | 83.2 | 100.0 | 0 | 0 | 0.03 | 100.0 | 100.0 |
Pero Zubac
|
- | 6 | 3.8 | 1.0 | 0.7 | 0.2 | 0.0 | 0.0 | 0.5 | 0.7 | 0.7 | 22 | 3.7 | 137.5 | 75.0 | 0 | 0.0 | 0.03 | 56.4 | 75.0 |
TJ Grant
|
G | 7 | 5.6 | 0.9 | 0.9 | 0.6 | 0.6 | 0.0 | 0.0 | 0.6 | 2.3 | 36 | 6.0 | 133.7 | 25.0 | 0 | 100.0 | -0.01 | 52.1 | 25.0 |
P. Padegimas
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
NJ Nganga
|
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