Wagner Seahawks
2026 Team Stats (27 games)
58.2
PPG
59.0
Opp
-0.8
Margin
38.8%
FG%
24.7%
3P%
62.2%
FT%
35.7
RPG
11.4
APG
17.6
TO
81.6
Pace
49.8
AdjO
67.9
AdjD
#331
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 → | 811 (#295) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 760 (#314) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 964 (#464) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -19.4 (#333) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.2 (#373) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.231 (#266) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.183 (#271) | NetEff -10.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.037 (#332) | AdjNet -28.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.033 (#334) | AdjNet -29.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.162 (#331) | AdjO 49.8 | AdjD 67.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.366 (#503) | AdjO 55.6 | AdjD 61.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.350 (#361) | 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 → | 0.345 (#363) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 839 (#510) | RD 142 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Doyinsola Modesayor
|
C | 27 | 22.7 | 11.1 | 7.6 | 0.6 | 1.0 | 0.7 | 3.3 | 9.3 | 8.5 | -9 | -0.4 | -0.7 | 43.6 | 0 | 59.1 | -1.99 | 48.2 | 43.6 |
I. Fernandez de Caleya
|
G | 25 | 34.0 | 10.0 | 6.1 | 2.3 | 1.7 | 0.2 | 2.4 | 9.4 | 8.5 | 14 | 0.7 | 0.9 | 39.8 | 23.2 | 64.9 | 1.51 | 46.4 | 42.6 |
K. Foz
|
G | 24 | 32.2 | 9.4 | 3.8 | 2.8 | 2.0 | 0.1 | 3.6 | 9.7 | 4.7 | -48 | -2.5 | -3.0 | 38.2 | 23.1 | 61.1 | 1.13 | 42.5 | 38.8 |
K. Kaci
|
G | 25 | 20.4 | 7.1 | 1.4 | 1.2 | 0.6 | 0.2 | 1.7 | 6.7 | 2.1 | 32 | 1.8 | 4.3 | 34.1 | 29.1 | 85.7 | 0.31 | 48.8 | 44.3 |
P. Varela
|
G | 27 | 27.5 | 5.7 | 2.1 | 0.9 | 1.3 | 0.2 | 1.2 | 6.9 | 2.1 | -5 | -0.2 | -0.3 | 29.9 | 27.3 | 54.3 | 0.75 | 37.4 | 34.8 |
R. ElBarky
|
F | 13 | 11.6 | 5.0 | 2.5 | 0.4 | 0.3 | 0.2 | 0.5 | 4.3 | 3.6 | -66 | -6.6 | -15.4 | 42.9 | 0.0 | 58.6 | -2.76 | 47.3 | 42.9 |
A. Ricard
|
G | 27 | 16.4 | 3.7 | 1.7 | 0.8 | 0.4 | 0.1 | 1.1 | 3.9 | 1.7 | 37 | 1.7 | 3.5 | 38.7 | 16.1 | 87.5 | -0.21 | 44.7 | 41.0 |
S. San Francisco
|
G | 6 | 12.3 | 3.3 | 1.3 | 1.0 | 0.2 | 0.0 | 0.7 | 2.8 | 2.3 | -25 | -3.1 | -11.8 | 35.3 | 36.4 | 50.0 | -2.59 | 48.7 | 47.1 |
A. Landy
|
G | 27 | 9.5 | 2.9 | 1.9 | 0.5 | 0.9 | 0.3 | 0.8 | 2.2 | 3.6 | 21 | 1.0 | 3.9 | 45.0 | 28.6 | 74.2 | -2.31 | 53.6 | 46.7 |
M. Doreste
|
G | 27 | 15.7 | 2.7 | 1.4 | 1.7 | 1.4 | 0.1 | 1.2 | 3.3 | 2.7 | -45 | -2.0 | -4.6 | 29.5 | 19.3 | 50.0 | -3.03 | 37.5 | 35.8 |
H. Balde-Camara
|
C | 26 | 11.4 | 2.5 | 2.9 | 0.3 | 0.3 | 1.1 | 1.2 | 2.0 | 3.8 | -6 | -0.3 | -0.8 | 55.8 | 0 | 66.7 | -1.89 | 57.2 | 55.8 |
M. Mpondo
|
F | 25 | 9.6 | 2.4 | 1.5 | 0.6 | 0.4 | 0.1 | 0.9 | 2.2 | 1.8 | -21 | -1.1 | -3.1 | 46.4 | 20.0 | 35.0 | -4.87 | 46.3 | 47.3 |
J. Johnson
|
G | 4 | 5.8 | 1.0 | 0.2 | 0.0 | 0.2 | 0.0 | 1.0 | 0.8 | -0.2 | 23 | 3.8 | 50.7 | 66.7 | 0 | 0 | 1.03 | 66.7 | 66.7 |
S. Cummings
|
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