Dayton
2026 Team Stats (36 games)
74.2
PPG
68.8
Opp
+5.4
Margin
44.7%
FG%
34.0%
3P%
75.4%
FT%
33.1
RPG
14.3
APG
11.6
TO
76.0
Pace
76.2
AdjO
67.0
AdjD
#77
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 → | 1185 (#49) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1219 (#42) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1126 (#36) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.0 (#81) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +23.2 (#66) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.685 (#77) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.371 (#204) | NetEff -4.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.815 (#71) | AdjNet +12.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.817 (#71) | AdjNet +13.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.698 (#77) | AdjO 76.2 | AdjD 67.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.684 (#49) | AdjO 72.2 | AdjD 63.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.902 (#51) | 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 → | 0.881 (#47) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1276 (#37) | RD 96 | GP 36 |
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. Bennett
|
G | 36 | 34.4 | 15.8 | 2.2 | 2.9 | 1.4 | 0.1 | 1.4 | 12.5 | 8.6 | 108 | 4.5 | 7.6 | 39.6 | 34.8 | 89.8 | -0.17 | 55.7 | 49.4 |
D. Montgomery
|
- | 35 | 30.6 | 13.4 | 4.0 | 2.1 | 2.1 | 0.6 | 1.9 | 10.1 | 10.2 | 110 | 5.0 | 6.7 | 49.3 | 34.4 | 79.3 | 0.88 | 59.9 | 56.7 |
A. L'Etang
|
F | 32 | 25.7 | 12.1 | 6.0 | 1.6 | 0.4 | 1.3 | 2.1 | 8.1 | 11.3 | 57 | 3.2 | 5.8 | 49.2 | 36.2 | 76.2 | 0.26 | 61.4 | 55.8 |
J. Derkack
|
- | 31 | 24.7 | 9.2 | 4.9 | 2.6 | 1.2 | 0.1 | 1.6 | 5.8 | 10.5 | 73 | 4.3 | 7.3 | 37.0 | 29.1 | 71.8 | 0.7 | 54.0 | 41.4 |
K. Jones
|
- | 36 | 30.4 | 7.8 | 5.4 | 2.2 | 1.5 | 0.8 | 1.4 | 5.5 | 10.8 | 29 | 1.4 | 6.0 | 51.3 | 31.7 | 64.0 | 0.08 | 57.8 | 54.5 |
B. Heard
|
G | 35 | 18.5 | 6.5 | 2.4 | 0.7 | 0.3 | 0.1 | 0.8 | 4.5 | 4.8 | 31 | 1.4 | 3.1 | 43.9 | 36.8 | 78.6 | 0.07 | 59.0 | 51.9 |
J. Simon
|
F | 35 | 18.3 | 5.5 | 3.3 | 1.2 | 0.5 | 0.4 | 0.9 | 3.4 | 6.7 | 31 | 1.4 | 4.0 | 47.5 | 36.4 | 80.5 | 0.23 | 62.1 | 52.5 |
Malcolm Thomas
|
- | 25 | 8.6 | 4.0 | 1.4 | 0.3 | 0.2 | 0.7 | 0.8 | 2.8 | 3.1 | 26 | 1.6 | 6.4 | 50.7 | 31.2 | 57.1 | 0.4 | 56.6 | 54.3 |
J. Conner
|
F | 35 | 17.0 | 3.3 | 2.3 | 1.1 | 0.7 | 0.3 | 0.6 | 2.8 | 4.2 | 37 | 1.7 | 3.6 | 40.4 | 29.7 | 63.0 | 0.35 | 52.3 | 50.0 |
Damon Friery
|
- | 16 | 5.6 | 1.8 | 1.2 | 0.1 | 0.2 | 0.1 | 0.2 | 1.7 | 1.6 | -7 | -0.7 | -6.1 | 33.3 | 35.3 | 50.0 | -0.12 | 46.2 | 44.4 |
S. Pouedet
|
G | 14 | 5.4 | 0.6 | 0.2 | 0.4 | 0.1 | 0.0 | 0.4 | 0.6 | 0.2 | - | - | - | 33.3 | 25.0 | 100.0 | 0.06 | 45.5 | 38.9 |
E. Dickey
|
G | 4 | 2.0 | 0.5 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | -4 | -1.0 | -24.0 | 0.0 | 0.0 | 100.0 | -0.1 | 53.2 | 0.0 |
M. Grant
|
G | 7 | 1.0 | 0.4 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.6 | 0.1 | -6 | -2.0 | -54.8 | 25.0 | 33.3 | 0 | -0.13 | 37.5 | 37.5 |
Jaron McKie
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Maxwell
|
G | 5 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | -0.2 | -2 | -1.0 | -45.7 | 0.0 | 0.0 | 0 | -0.13 | 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