Towson
2026 Team Stats (33 games)
69.5
PPG
65.5
Opp
+4.0
Margin
42.2%
FG%
30.5%
3P%
70.0%
FT%
39.5
RPG
10.3
APG
10.2
TO
77.9
Pace
67.3
AdjO
67.4
AdjD
#163
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 → | 1097 (#99) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1042 (#135) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1029 (#135) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.2 (#159) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.3 (#147) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.527 (#164) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.908 (#44) | NetEff +22.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.515 (#158) | AdjNet +0.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.515 (#158) | AdjNet +0.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.499 (#163) | AdjO 67.3 | AdjD 67.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.618 (#96) | AdjO 70.1 | AdjD 64.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.797 (#133) | 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 → | 0.768 (#125) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1109 (#130) | RD 139 | GP 33 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Tejada
|
G | 31 | 35.8 | 17.9 | 5.6 | 2.4 | 0.8 | 0.4 | 1.7 | 14.2 | 11.3 | 1 | 0.0 | 0.1 | 43.3 | 29.3 | 88.1 | -0.25 | 54.8 | 47.9 |
D. Williamson
|
G | 33 | 36.1 | 14.6 | 2.6 | 3.4 | 0.8 | 0.1 | 1.7 | 14.3 | 5.5 | 36 | 1.5 | 3.2 | 38.3 | 34.0 | 74.5 | 0.38 | 48.7 | 47.0 |
J. Doumbia
|
F | 31 | 24.2 | 10.8 | 5.6 | 1.8 | 1.1 | 0.5 | 2.0 | 8.9 | 8.8 | 18 | 6.0 | 13.1 | 44.4 | 12.5 | 65.4 | 0.02 | 50.4 | 45.3 |
Jaquan Womack
|
- | 31 | 19.4 | 7.3 | 4.2 | 0.6 | 0.7 | 0.4 | 1.0 | 6.8 | 5.4 | 86 | 3.9 | 13.1 | 39.3 | 28.2 | 68.6 | 0.88 | 48.2 | 45.0 |
T. Coleman
|
- | 31 | 19.9 | 5.3 | 3.8 | 0.3 | 0.7 | 0.4 | 0.8 | 4.0 | 5.6 | 7 | 0.3 | 1.0 | 47.6 | 33.3 | 72.5 | -0.43 | 56.0 | 51.2 |
J. Cole
|
- | 7 | 10.1 | 4.7 | 2.0 | 1.9 | 0.3 | 0.3 | 0.4 | 4.6 | 4.1 | 37 | 4.6 | 60.1 | 37.5 | 39.1 | 0 | -0.17 | 51.6 | 51.6 |
R. Conway
|
- | 22 | 10.2 | 3.7 | 0.7 | 0.3 | 0.1 | 0.0 | 0.2 | 3.1 | 1.5 | 19 | 1.5 | 14.7 | 37.7 | 36.9 | 71.4 | 0.19 | 56.2 | 55.1 |
C. Embeya
|
F | 33 | 20.9 | 3.6 | 5.9 | 0.5 | 0.9 | 0.5 | 0.9 | 2.5 | 8.0 | 25 | 1.0 | 3.2 | 50.6 | 0 | 59.4 | 0.22 | 55.0 | 50.6 |
M. Seck
|
C | 33 | 14.2 | 3.1 | 3.8 | 0.1 | 0.2 | 0.6 | 0.8 | 2.6 | 4.5 | 12 | 0.5 | 2.0 | 52.9 | 0 | 43.3 | 0.24 | 52.4 | 52.9 |
Tyler Schmidt
|
G | 31 | 13.8 | 3.0 | 1.4 | 0.7 | 0.4 | 0.2 | 0.3 | 2.9 | 2.5 | 15 | 0.7 | 2.3 | 40.0 | 28.1 | 85.7 | -0.12 | 50.5 | 48.9 |
C. Ndefo
|
- | 31 | 12.6 | 3.0 | 3.0 | 0.2 | 0.4 | 0.3 | 0.7 | 2.4 | 3.8 | 45 | 2.0 | 7.6 | 45.3 | 12.5 | 48.9 | 0.37 | 48.1 | 46.0 |
A. Samb
|
F | 7 | 7.6 | 0.9 | 0.7 | 0.4 | 0.1 | 0.3 | 0.1 | 0.9 | 1.4 | 6 | 0.8 | 7.5 | 50.0 | 0 | 0.0 | -0.1 | 46.6 | 50.0 |
R. Skerry
|
- | 10 | 3.1 | 0.3 | 0.1 | 0.2 | 0.0 | 0.0 | 0.2 | 1.4 | -1.0 | 20 | 2.2 | 92.3 | 7.1 | 12.5 | 0 | 0.17 | 10.7 | 10.7 |
Jon Barton
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Brandon Holmes
|
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