Temple
2026 Team Stats (30 games)
73.1
PPG
71.2
Opp
+1.9
Margin
44.4%
FG%
33.9%
3P%
74.7%
FT%
33.2
RPG
11.8
APG
8.9
TO
74.7
Pace
74.3
AdjO
72.8
AdjD
#139
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 → | 881 (#267) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1020 (#161) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 925 (#636) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +1.1 (#148) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.1 (#131) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.572 (#131) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.665 (#125) | NetEff +6.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.557 (#140) | AdjNet +2.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.558 (#140) | AdjNet +2.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.536 (#139) | AdjO 74.3 | AdjD 72.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.557 (#171) | AdjO 71.3 | AdjD 68.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.730 (#200) | 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 → | 0.689 (#201) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1014 (#229) | RD 134 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Ford
|
G | 29 | 35.8 | 17.8 | 4.3 | 2.0 | 0.7 | 0.1 | 1.6 | 12.9 | 10.3 | 57 | 2.2 | 7.0 | 42.4 | 38.3 | 85.4 | 0.23 | 56.9 | 48.5 |
A. Tobiason
|
- | 30 | 35.6 | 15.6 | 3.6 | 2.0 | 1.2 | 0.2 | 1.4 | 10.4 | 10.7 | 65 | 3.0 | 5.6 | 48.2 | 34.6 | 79.9 | -0.17 | 61.7 | 55.6 |
J. Mason
|
- | 30 | 33.9 | 12.0 | 2.9 | 3.7 | 1.1 | 0.1 | 1.6 | 10.1 | 8.1 | 5 | 0.5 | 1.2 | 42.9 | 31.2 | 78.6 | 0.39 | 51.8 | 46.2 |
G. Griffiths
|
G | 28 | 29.1 | 9.8 | 4.9 | 1.2 | 1.1 | 1.8 | 1.0 | 9.2 | 8.6 | 2 | 0.2 | 0.9 | 39.9 | 33.1 | 52.2 | 0.3 | 51.1 | 50.8 |
AJ Smith
|
- | 8 | 15.0 | 7.8 | 1.4 | 0.8 | 0.1 | 0.0 | 0.4 | 5.6 | 4.0 | -13 | -1.6 | -6.1 | 48.9 | 44.4 | 73.7 | 0.12 | 58.1 | 53.3 |
M. Gilyard
|
- | 29 | 18.1 | 5.8 | 4.1 | 0.5 | 0.5 | 0.0 | 0.6 | 4.6 | 5.9 | 5 | 0.6 | 4.2 | 42.4 | 34.8 | 61.5 | 0.25 | 54.2 | 51.5 |
B. Durodola
|
F | 30 | 19.8 | 5.0 | 3.5 | 1.6 | 0.4 | 0.5 | 0.9 | 3.5 | 6.6 | 17 | 0.7 | 2.4 | 50.9 | 0.0 | 75.0 | -0.07 | 57.4 | 50.9 |
J. Felt
|
F | 29 | 13.5 | 3.8 | 4.1 | 0.4 | 0.3 | 0.6 | 0.8 | 2.3 | 6.2 | 0 | 0.0 | 0.0 | 60.6 | 0 | 58.8 | 0.25 | 62.2 | 60.6 |
Cam Wallace
|
- | 17 | 6.2 | 1.6 | 0.6 | 0.4 | 0.1 | 0.2 | 0.2 | 1.6 | 1.2 | 12 | 0.8 | 15.4 | 29.6 | 29.4 | 50.0 | -0.18 | 42.2 | 38.9 |
Ayuba Bryant Jr.
|
- | 25 | 7.6 | 1.6 | 1.4 | 0.2 | 0.3 | 0.2 | 0.3 | 0.9 | 2.4 | -45 | -2.1 | -13.4 | 59.1 | 0.0 | 50.0 | -0.59 | 58.3 | 59.1 |
C. Gal
|
- | 4 | 2.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | 0.2 | 3 | 0.8 | 313.0 | 60.0 | 0.0 | 0 | 0.0 | 60.0 | 60.0 |
M. Keita
|
- | 21 | 4.6 | 0.5 | 0.8 | 0.0 | 0.1 | 0.5 | 0.0 | 0.5 | 1.5 | -2 | -0.1 | -1.2 | 40.0 | 0 | 50.0 | -0.01 | 43.5 | 40.0 |
S. Mahoney
|
- | 11 | 5.2 | 0.2 | 0.4 | 0.1 | 0.1 | 0.0 | 0.2 | 1.0 | -0.5 | -6 | -0.6 | -6.3 | 0.0 | 0.0 | 100.0 | -0.32 | 8.4 | 0.0 |
Olin Chamberlain Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | -0.32 | - | - |
CJ Hines
|
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