Fordham Rams
2026 Team Stats (25 games)
58.5
PPG
66.1
Opp
-7.6
Margin
35.3%
FG%
27.6%
3P%
69.9%
FT%
36.7
RPG
10.6
APG
18.4
TO
85.9
Pace
61.0
AdjO
67.3
AdjD
#242
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 → | 832 (#284) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 834 (#280) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 863 (#563) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.8 (#244) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +2.5 (#295) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.312 (#236) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.384 (#207) | NetEff -3.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.240 (#245) | AdjNet -10.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.235 (#245) | AdjNet -10.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.360 (#242) | AdjO 61.0 | AdjD 67.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.348 (#520) | AdjO 57.3 | AdjD 64.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.472 (#305) | 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 → | 0.424 (#320) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 788 (#551) | RD 162 | GP 25 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Black
|
G | 17 | 29.4 | 15.7 | 3.1 | 2.8 | 1.6 | 0.2 | 3.2 | 13.3 | 6.8 | 13 | 0.8 | 3.4 | 34.5 | 34.9 | 87.2 | 2.76 | 49.9 | 40.9 |
C. Easley
|
G | 24 | 28.5 | 7.6 | 2.8 | 3.0 | 1.8 | 0.1 | 3.2 | 8.8 | 3.2 | -27 | -1.2 | -2.0 | 33.6 | 30.0 | 66.7 | 0.26 | 40.4 | 37.9 |
L. Edwards
|
G | 25 | 22.8 | 7.5 | 1.6 | 0.8 | 0.7 | 0.1 | 1.2 | 8.3 | 1.1 | 2 | 0.2 | 0.2 | 34.8 | 26.9 | 46.7 | 0.06 | 43.8 | 43.5 |
U. Sirtautaite
|
F | 15 | 14.1 | 6.1 | 3.4 | 0.3 | 0.1 | 0.1 | 1.3 | 5.1 | 3.6 | 23 | 1.1 | 3.2 | 45.5 | 0.0 | 68.8 | 0.04 | 50.5 | 45.5 |
E. Wilson-Saltos
|
F | 25 | 19.5 | 5.8 | 5.2 | 0.7 | 1.2 | 0.8 | 1.6 | 6.5 | 5.6 | 16 | 0.7 | 1.3 | 38.9 | 0 | 60.6 | 3.89 | 41.4 | 38.9 |
O. Niankan
|
F | 25 | 22.4 | 5.8 | 4.3 | 1.2 | 0.8 | 0.3 | 1.8 | 5.8 | 4.9 | -2 | -0.1 | -0.2 | 39.6 | 27.3 | 70.0 | 1.55 | 44.9 | 40.6 |
T. Morgan
|
G | 23 | 22.8 | 5.4 | 2.5 | 1.2 | 0.6 | 0.2 | 1.3 | 5.0 | 3.5 | 203 | 9.2 | 11.2 | 37.9 | 37.0 | 80.0 | 2.29 | 49.7 | 46.6 |
K. Berry
|
F | 22 | 18.0 | 3.2 | 4.2 | 0.5 | 0.9 | 0.1 | 1.4 | 3.5 | 4.0 | -7 | -1.4 | -21.7 | 37.2 | 0.0 | 54.5 | 1.07 | 39.9 | 37.2 |
M. Hill
|
G | 24 | 16.2 | 3.2 | 2.1 | 0.5 | 0.8 | 0.1 | 1.4 | 4.8 | 0.5 | 58 | 2.5 | 6.0 | 23.3 | 16.1 | 56.5 | 3.4 | 30.5 | 27.6 |
P. Omoshola
|
F | 23 | 11.0 | 2.8 | 3.2 | 0.3 | 0.4 | 0.3 | 1.1 | 2.2 | 3.7 | -30 | -1.2 | -5.1 | 51.0 | 0 | 54.2 | -3.32 | 52.8 | 51.0 |
A. Veljovic
|
G | 24 | 15.7 | 2.7 | 2.7 | 0.6 | 0.9 | 0.3 | 1.4 | 3.9 | 1.9 | -21 | -1.1 | -2.6 | 26.9 | 18.8 | 61.5 | 0.55 | 32.4 | 30.1 |
L. Liley
|
F | 17 | 7.4 | 2.5 | 0.6 | 0.3 | 0.5 | 0.1 | 0.8 | 2.7 | 0.5 | 25 | 1.4 | 6.7 | 26.1 | 26.1 | 76.5 | 1.49 | 40.2 | 32.6 |
K. Antoine
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Elle Dias
|
C | 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