Ohio
2026 Team Stats (31 games)
77.5
PPG
78.5
Opp
-1.0
Margin
46.1%
FG%
30.4%
3P%
70.7%
FT%
33.7
RPG
13.5
APG
10.9
TO
80.4
Pace
75.6
AdjO
79.5
AdjD
#219
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 → | 892 (#264) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 978 (#202) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 943 (#605) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -4.2 (#226) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.1 (#260) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.381 (#243) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.608 (#141) | NetEff +4.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.362 (#221) | AdjNet -4.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.360 (#220) | AdjNet -5.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.413 (#219) | AdjO 75.6 | AdjD 79.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.497 (#255) | AdjO 76.6 | AdjD 76.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.664 (#241) | 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 → | 0.624 (#246) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1004 (#237) | RD 136 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Paveletzke
|
G | 30 | 36.7 | 17.1 | 3.1 | 5.3 | 0.9 | 0.0 | 2.2 | 11.7 | 12.5 | -69 | -2.7 | -4.0 | 46.6 | 32.3 | 80.0 | -0.44 | 58.7 | 50.9 |
J. Simmons
|
- | 30 | 27.2 | 15.2 | 5.7 | 1.5 | 0.6 | 0.8 | 1.6 | 9.8 | 12.3 | -38 | -1.7 | -3.1 | 54.2 | 20.7 | 67.7 | -0.2 | 60.1 | 55.3 |
A. Hadaway
|
F | 31 | 31.8 | 14.2 | 7.3 | 2.2 | 0.8 | 0.7 | 2.0 | 11.9 | 11.4 | -10 | -0.4 | -0.9 | 48.4 | 28.8 | 70.3 | -0.21 | 55.7 | 53.8 |
Jj Kelly
|
- | 30 | 26.8 | 8.5 | 3.8 | 0.6 | 0.9 | 0.9 | 0.9 | 6.4 | 7.4 | 4 | 0.2 | 0.3 | 51.8 | 32.9 | 76.7 | 0.31 | 60.5 | 57.9 |
A. Sheldon
|
G | 31 | 31.0 | 7.4 | 2.5 | 1.9 | 1.5 | 0.1 | 1.2 | 6.7 | 5.4 | -11 | -0.5 | -1.0 | 34.9 | 36.6 | 70.0 | -0.11 | 51.8 | 50.0 |
E. Elliott
|
- | 12 | 21.2 | 4.4 | 3.5 | 2.1 | 0.7 | 0.2 | 1.2 | 4.6 | 5.1 | -16 | -1.3 | -3.1 | 30.9 | 22.7 | 70.0 | -0.26 | 41.5 | 35.5 |
D. Conners
|
G | 30 | 11.7 | 4.1 | 1.3 | 0.7 | 0.5 | 0.0 | 0.6 | 4.0 | 2.1 | -30 | -1.4 | -5.9 | 30.8 | 26.7 | 81.2 | -0.48 | 46.2 | 40.8 |
Jordan Fisher
|
- | 5 | 4.4 | 3.8 | 0.4 | 0.2 | 0.4 | 0.0 | 0.2 | 2.8 | 1.8 | 9 | 3.0 | 83.7 | 50.0 | 20.0 | 66.7 | -0.1 | 57.1 | 53.6 |
J. Breath
|
- | 27 | 13.3 | 3.6 | 3.0 | 0.4 | 0.2 | 0.5 | 0.7 | 2.5 | 4.4 | 19 | 1.0 | 3.3 | 54.4 | 0.0 | 38.7 | 0.25 | 51.4 | 54.4 |
K. Kuany
|
- | 30 | 9.0 | 3.6 | 1.4 | 0.2 | 0.2 | 0.4 | 0.3 | 2.8 | 2.8 | -20 | -0.9 | -6.3 | 53.0 | 24.1 | 73.7 | -0.72 | 59.7 | 57.2 |
J. Burris
|
- | 23 | 10.3 | 3.5 | 1.3 | 0.2 | 0.2 | 0.2 | 0.5 | 3.4 | 1.4 | -18 | -1.3 | -6.5 | 36.7 | 29.2 | 90.0 | -0.87 | 48.6 | 45.6 |
A. Evans
|
- | 11 | 8.3 | 2.3 | 1.1 | 0.3 | 0.3 | 0.5 | 0.3 | 2.0 | 2.1 | 9 | 1.1 | 5.5 | 45.5 | 16.7 | 66.7 | -0.07 | 50.7 | 47.7 |
Chase Boals
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Zay Mosley
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Carter Reese
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 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