Tulane
2026 Team Stats (31 games)
72.1
PPG
75.3
Opp
-3.2
Margin
42.3%
FG%
32.5%
3P%
76.8%
FT%
30.9
RPG
12.5
APG
10.6
TO
75.4
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 → | 941 (#225) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1066 (#118) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1010 (#168) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.2 (#195) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.1 (#219) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.375 (#249) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.320 (#222) | NetEff -7.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.453 (#179) | AdjNet -1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.453 (#178) | AdjNet -1.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.464 (#183) | AdjO 71.8 | AdjD 73.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.453 (#483) | AdjO 71.4 | AdjD 73.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.708 (#217) | 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 → | 0.661 (#220) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1094 (#142) | RD 129 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R. Brumbaugh
|
G | 31 | 36.1 | 19.2 | 4.8 | 3.4 | 1.5 | 0.2 | 2.4 | 12.6 | 14.0 | -30 | -1.2 | -1.7 | 44.9 | 36.0 | 79.9 | 0.09 | 60.3 | 52.4 |
A. Woods
|
G | 31 | 31.1 | 12.6 | 3.3 | 2.1 | 1.3 | 0.0 | 1.8 | 9.0 | 8.4 | -61 | -2.7 | -6.1 | 40.7 | 28.6 | 84.2 | -0.72 | 55.9 | 46.1 |
C. Williams
|
- | 31 | 32.0 | 12.5 | 4.9 | 1.1 | 1.1 | 0.5 | 1.4 | 10.7 | 7.8 | -45 | -2.2 | -4.2 | 40.8 | 34.1 | 83.6 | -0.89 | 53.6 | 50.3 |
T. Ringgold
|
F | 30 | 24.7 | 9.6 | 3.9 | 1.4 | 1.0 | 1.0 | 1.5 | 7.0 | 8.4 | -27 | -1.1 | -2.2 | 44.1 | 30.6 | 65.6 | 0.22 | 54.4 | 49.3 |
S. Middleton
|
F | 31 | 25.5 | 6.8 | 3.9 | 1.1 | 0.5 | 0.7 | 0.7 | 6.1 | 6.1 | -11 | -0.5 | -0.8 | 38.4 | 35.3 | 73.9 | 0.11 | 52.5 | 50.8 |
KJ Greene
|
G | 30 | 15.5 | 4.7 | 1.2 | 1.6 | 0.6 | 0.1 | 1.0 | 3.3 | 4.0 | -1 | -0.0 | -0.1 | 38.8 | 25.7 | 79.7 | 0.37 | 54.5 | 43.4 |
J. Moore
|
- | 30 | 11.8 | 3.2 | 1.7 | 0.9 | 0.5 | 0.3 | 0.6 | 2.7 | 3.4 | -29 | -1.3 | -3.6 | 43.9 | 18.8 | 66.7 | -0.15 | 50.2 | 45.7 |
L. Rasmussen
|
- | 15 | 16.9 | 2.9 | 1.9 | 0.8 | 1.0 | 0.5 | 0.7 | 2.8 | 3.6 | 10 | 1.4 | 4.6 | 40.5 | 24.1 | 27.3 | 0.24 | 47.0 | 48.8 |
P. Daniels
|
C | 30 | 16.8 | 2.4 | 2.3 | 0.8 | 0.4 | 1.5 | 0.5 | 1.3 | 5.5 | -42 | -1.9 | -8.0 | 64.1 | 0.0 | 72.4 | 0.02 | 68.6 | 64.1 |
J. Shapiro
|
G | 5 | 1.0 | 1.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6 | 1.2 | -2 | -0.5 | -29.3 | 100.0 | 100.0 | 0 | 0.03 | 150.0 | 150.0 |
Robert Moore
|
- | 4 | 2.0 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | -0.5 | -14 | -4.7 | -133.9 | 20.0 | 20.0 | 0 | -0.11 | 30.0 | 30.0 |
D. Bradford
|
C | 10 | 4.0 | 0.1 | 0.4 | 0.0 | 0.0 | 0.2 | 0.1 | 0.5 | 0.1 | -23 | -2.1 | -20.4 | 0.0 | 0.0 | 50.0 | -0.54 | 8.5 | 0.0 |
L. Cronin
|
- | 2 | 1.5 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | -1 | -1.0 | -60.0 | 0 | 0 | 0 | -0.02 | 0 | 0 |
J. Teich
|
G | 3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2 | 1.0 | 49.0 | 0 | 0 | 0 | 0.05 | 0 | 0 |
V. Kuridza
|
F | 2 | 1.5 | 0.0 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | 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