Elon Phoenix
2026 Team Stats (28 games)
64.7
PPG
64.2
Opp
+0.5
Margin
40.0%
FG%
27.8%
3P%
73.4%
FT%
36.7
RPG
13.1
APG
17.6
TO
84.1
Pace
60.4
AdjO
66.1
AdjD
#228
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 → | 983 (#197) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 907 (#242) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1013 (#167) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -6.0 (#233) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +10.4 (#194) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.486 (#176) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.506 (#172) | NetEff +0.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.261 (#239) | AdjNet -9.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.255 (#239) | AdjNet -9.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.373 (#228) | AdjO 60.4 | AdjD 66.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.561 (#160) | AdjO 65.2 | AdjD 62.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.692 (#203) | 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 → | 0.667 (#202) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1031 (#195) | RD 128 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Corbett
|
F | 28 | 18.7 | 11.3 | 3.6 | 0.5 | 1.3 | 0.6 | 2.3 | 9.6 | 5.4 | 31 | 1.3 | 2.6 | 46.8 | 14.3 | 67.4 | -1.03 | 51.0 | 47.0 |
A. Fox
|
G | 26 | 23.1 | 9.2 | 1.9 | 2.2 | 1.0 | 0.2 | 3.0 | 8.5 | 3.1 | -48 | -2.1 | -4.1 | 36.2 | 32.0 | 84.2 | -3.48 | 48.8 | 43.4 |
L. Anderson
|
G | 25 | 22.4 | 8.8 | 2.3 | 1.6 | 1.1 | 0.2 | 1.6 | 7.9 | 4.5 | 44 | 2.0 | 3.5 | 38.6 | 29.6 | 72.6 | 2.01 | 49.3 | 44.7 |
Q. Fulmore
|
F | 27 | 20.3 | 8.2 | 4.9 | 0.6 | 0.6 | 0.4 | 1.8 | 5.7 | 7.1 | -32 | -1.3 | -2.4 | 55.8 | 0 | 72.5 | -2.01 | 60.2 | 55.8 |
T. Watkins
|
C | 28 | 20.0 | 7.9 | 5.7 | 0.9 | 0.8 | 0.6 | 1.4 | 6.7 | 7.8 | 48 | 2.1 | 4.5 | 48.7 | 12.5 | 69.6 | 0.71 | 52.4 | 48.9 |
A. Shaw
|
G | 25 | 17.3 | 6.0 | 3.0 | 0.8 | 1.1 | 0.2 | 1.0 | 5.3 | 4.8 | 49 | 2.6 | 9.8 | 33.1 | 28.6 | 86.8 | 0.53 | 48.0 | 39.1 |
T. Walker
|
G | 28 | 21.7 | 5.5 | 3.7 | 1.5 | 1.2 | 0.1 | 1.8 | 6.6 | 3.7 | 54 | 2.3 | 4.0 | 32.1 | 27.6 | 83.3 | 2.21 | 40.9 | 39.4 |
K. Doty
|
G | 25 | 16.0 | 4.0 | 1.3 | 1.0 | 0.3 | 0.2 | 0.6 | 4.0 | 2.1 | 60 | 3.2 | 8.3 | 32.0 | 32.3 | 75.0 | 5.31 | 46.0 | 42.5 |
M. Pass
|
G | 28 | 22.5 | 3.0 | 2.9 | 3.4 | 1.4 | 0.0 | 1.9 | 3.2 | 5.5 | 7 | 0.3 | 0.5 | 33.0 | 13.3 | 59.4 | -0.54 | 39.5 | 35.2 |
R. Willard
|
G | 27 | 18.0 | 2.1 | 2.7 | 0.7 | 0.7 | 0.0 | 1.3 | 2.2 | 2.7 | 23 | 1.0 | 2.6 | 39.0 | 35.0 | 37.5 | 0.4 | 44.8 | 44.9 |
J. Angel
|
G | 1 | 12.0 | 2.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 5.0 | 0.0 | -4 | -2.0 | -2.4 | 20.0 | 0.0 | 0 | 0.82 | 20.0 | 20.0 |
S. Khalil
|
G | 21 | 7.3 | 1.8 | 0.4 | 0.3 | 0.3 | 0.0 | 0.3 | 2.0 | 0.5 | -5 | -0.3 | -1.7 | 29.3 | 21.2 | 100.0 | -1.57 | 42.4 | 37.8 |
K. Morrow
|
G | 17 | 5.0 | 0.4 | 0.9 | 0.2 | 0.2 | 0.1 | 0.2 | 0.9 | 0.6 | -14 | -0.9 | -5.4 | 18.8 | 0.0 | 0 | -0.96 | 18.8 | 18.8 |
A. Wadkovsky
|
C | 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