Dayton Flyers
2026 Team Stats (28 games)
66.6
PPG
67.2
Opp
-0.6
Margin
43.5%
FG%
30.8%
3P%
67.9%
FT%
38.6
RPG
11.5
APG
18.3
TO
82.3
Pace
68.2
AdjO
68.2
AdjD
#161
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 → | 1100 (#114) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1030 (#160) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1028 (#153) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -0.2 (#169) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.6 (#155) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.475 (#182) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.448 (#186) | NetEff -1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.516 (#162) | AdjNet +0.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.515 (#163) | AdjNet +0.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.502 (#161) | AdjO 68.2 | AdjD 68.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.545 (#177) | AdjO 68.5 | AdjD 66.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.744 (#172) | 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 → | 0.716 (#169) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1051 (#174) | RD 149 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Lear
|
G | 27 | 28.7 | 13.2 | 4.2 | 2.7 | 1.3 | 0.1 | 3.6 | 10.9 | 7.1 | -5 | -0.2 | -0.3 | 44.9 | 23.9 | 65.6 | 0.13 | 51.1 | 46.8 |
N. Stephens
|
G | 27 | 33.8 | 11.5 | 3.5 | 3.6 | 1.0 | 0.0 | 2.5 | 8.7 | 8.4 | 38 | 1.7 | 2.0 | 48.9 | 37.3 | 80.3 | 3.07 | 58.9 | 54.9 |
O. Leung
|
G | 28 | 24.5 | 8.9 | 3.3 | 1.5 | 0.8 | 0.1 | 1.9 | 7.4 | 5.2 | 27 | 1.1 | 1.9 | 38.5 | 33.3 | 72.2 | 0.47 | 51.9 | 47.4 |
A. Madol
|
G | 28 | 25.5 | 8.0 | 5.4 | 1.1 | 1.3 | 0.2 | 2.5 | 7.4 | 6.0 | 37 | 1.5 | 2.5 | 38.9 | 27.1 | 79.5 | 1.02 | 49.0 | 45.2 |
F. Ibrahim
|
C | 27 | 20.6 | 7.2 | 6.6 | 0.3 | 0.5 | 1.8 | 2.1 | 4.7 | 9.5 | 21 | 0.9 | 1.4 | 60.9 | 0 | 61.3 | 1.74 | 62.5 | 60.9 |
M. O'Riordan
|
F | 28 | 20.6 | 7.1 | 5.6 | 0.8 | 0.6 | 1.0 | 1.4 | 6.0 | 7.8 | 14 | 0.6 | 1.1 | 45.5 | 32.6 | 69.6 | 1.39 | 53.1 | 50.0 |
M. Johnson
|
G | 22 | 13.0 | 4.0 | 1.4 | 0.3 | 0.5 | 0.1 | 1.0 | 4.0 | 1.4 | 19 | 0.8 | 1.7 | 39.1 | 31.6 | 56.2 | -3.27 | 47.3 | 46.0 |
S. Dawkins
|
G | 28 | 15.1 | 3.1 | 1.6 | 0.3 | 0.4 | 0.0 | 0.9 | 3.0 | 1.5 | -21 | -0.9 | -1.7 | 35.7 | 16.7 | 57.1 | -2.42 | 42.4 | 37.5 |
M.G. Talle
|
F | 21 | 10.3 | 3.1 | 2.5 | 0.2 | 0.5 | 0.1 | 1.3 | 2.8 | 2.4 | -37 | -2.2 | -7.6 | 41.4 | 11.1 | 58.6 | -2.55 | 46.6 | 42.2 |
J. Johnson
|
G | 25 | 16.6 | 3.0 | 1.8 | 1.0 | 0.4 | 0.1 | 0.9 | 3.2 | 2.2 | 23 | 3.8 | 50.7 | 32.5 | 35.6 | 42.9 | 1.03 | 45.7 | 45.6 |
J. Poole
|
G | 1 | 8.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 2.0 | 2.0 | 2.0 | -3 | -1.5 | -3.2 | 50.0 | 0.0 | 0 | 0.9 | 50.0 | 50.0 |
E. Monyek
|
G | 4 | 2.2 | 1.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.2 | 0.0 | 5 | 1.2 | 39.7 | 40.0 | 0.0 | 0 | 0.95 | 40.0 | 40.0 |
K. Grant
|
G | 10 | 4.8 | 0.9 | 0.9 | 0.2 | 0.0 | 0.0 | 0.6 | 1.1 | 0.3 | -12 | -12.0 | -79.8 | 27.3 | 50.0 | 100.0 | 0.29 | 37.9 | 31.8 |
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