UT Martin Skyhawks
2026 Team Stats (29 games)
70.0
PPG
62.8
Opp
+7.4
Margin
42.3%
FG%
30.9%
3P%
68.8%
FT%
39.3
RPG
13.4
APG
14.0
TO
79.4
Pace
64.6
AdjO
69.2
AdjD
#229
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 β | 962 (#212) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 1033 (#148) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 1035 (#129) | HCA +109 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 995 (#391) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | -4.3 (#227) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | +8.7 (#249) | HCA +2.5 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | -7.1 (#442) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.633 (#94) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.039 (#346) | NetEff -24.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.350 (#227) | AdjNet -5.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.348 (#227) | AdjNet -5.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.397 (#229) | AdjO 64.6 | AdjD 69.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.579 (#141) | AdjO 66.2 | AdjD 62.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.476 (#360) | AdjO 73.4 | AdjD 74.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.734 (#194) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.373 (#420) | 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 β | 0.702 (#190) | 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 β | 0.392 (#406) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 1085 (#156) | RD 152 | GP 30 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 865 (#590) | RD 350 | GP 1 |
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. BukumiroviΔ
|
- | 29 | 29.1 | 13.9 | 7.7 | 0.9 | 1.2 | 0.9 | 1.2 | 9.8 | 13.7 | 151 | 7.2 | 11.6 | 52.5 | 37.8 | 57.3 | 0.38 | 61.0 | 60.4 |
D. Lungu
|
- | 6 | 25.7 | 13.8 | 5.3 | 2.8 | 1.3 | 0.2 | 3.5 | 8.3 | 11.7 | 33 | 5.5 | 9.9 | 62.0 | 27.3 | 54.5 | 0.06 | 64.3 | 65.0 |
Matas Deniusas
|
- | 30 | 25.7 | 12.5 | 5.4 | 1.5 | 0.7 | 0.8 | 1.7 | 9.8 | 9.3 | 144 | 6.5 | 11.5 | 41.5 | 33.1 | 76.5 | 0.72 | 54.3 | 48.6 |
Filip RadakoviΔ
|
- | 26 | 26.3 | 9.3 | 4.2 | 2.7 | 1.0 | 0.0 | 2.6 | 6.8 | 7.8 | 190 | 11.2 | 19.7 | 36.2 | 16.7 | 82.7 | 0.99 | 51.7 | 38.4 |
Pedro Santos
|
- | 29 | 18.7 | 6.9 | 4.1 | 0.8 | 1.7 | 0.1 | 1.2 | 6.6 | 5.7 | 77 | 3.9 | 10.0 | 41.7 | 27.5 | 69.0 | 0.24 | 48.6 | 46.6 |
Afan Trnka
|
G | 26 | 23.3 | 6.3 | 2.8 | 2.4 | 1.0 | 0.4 | 1.9 | 5.6 | 5.3 | 22 | 1.0 | 1.9 | 31.7 | 28.0 | 67.2 | -0.6 | 46.7 | 40.7 |
Filip Petkovski
|
- | 27 | 25.9 | 5.5 | 3.0 | 2.5 | 0.8 | 0.1 | 1.9 | 4.5 | 5.4 | 116 | 5.8 | 9.9 | 41.3 | 31.7 | 56.4 | 0.01 | 53.6 | 52.1 |
Damien King
|
- | 26 | 14.3 | 4.3 | 2.6 | 1.2 | 0.9 | 0.1 | 0.6 | 3.7 | 4.9 | 73 | 3.8 | 14.0 | 41.1 | 14.6 | 71.8 | 0.12 | 49.9 | 44.2 |
Aj Hopkins
|
F | 27 | 11.7 | 3.9 | 2.1 | 0.4 | 0.4 | 0.3 | 0.3 | 3.3 | 3.5 | 46 | 2.3 | 13.1 | 36.4 | 36.0 | 72.2 | 0.14 | 54.2 | 51.7 |
L. Colceag
|
- | 26 | 13.0 | 3.6 | 2.1 | 0.7 | 0.5 | 0.5 | 0.7 | 3.3 | 3.4 | 65 | 3.1 | 10.2 | 35.3 | 30.0 | 57.1 | 0.23 | 49.3 | 47.6 |
L. Niang
|
F | 23 | 9.0 | 3.0 | 2.5 | 0.3 | 0.1 | 0.8 | 0.6 | 2.6 | 3.6 | 30 | 1.4 | 9.1 | 53.3 | 0 | 50.0 | -0.36 | 53.6 | 53.3 |
Ama Sow
|
- | 5 | 7.0 | 2.8 | 2.8 | 0.2 | 0.0 | 0.2 | 0.8 | 1.6 | 3.6 | 17 | 2.8 | 21.5 | 62.5 | 100.0 | 50.0 | 0.01 | 65.8 | 68.8 |
Ty Price
|
- | 15 | 5.5 | 2.6 | 0.3 | 0.3 | 0.1 | 0.1 | 0.5 | 2.1 | 0.8 | 60 | 3.5 | 39.7 | 38.7 | 41.7 | 83.3 | 0.25 | 58.0 | 54.8 |
Vladimir Khryapa
|
- | 27 | 13.6 | 2.4 | 2.5 | 0.9 | 0.9 | 0.6 | 1.0 | 2.3 | 3.9 | 22 | 1.2 | 4.3 | 36.5 | 25.9 | 52.4 | -0.24 | 44.3 | 42.1 |
L. Williams
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 90 | 5.3 | 9.7 | - | - | - | 0.07 | - | - |
Will Hopkins
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Enrique Moya
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
James Bass
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Charlie King
|
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