Akron Zips
2026 Team Stats (29 games)
68.9
PPG
77.8
Opp
-8.9
Margin
40.0%
FG%
29.9%
3P%
69.4%
FT%
35.9
RPG
12.1
APG
19.0
TO
87.6
Pace
66.9
AdjO
78.3
AdjD
#290
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 → | 809 (#298) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 743 (#320) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 880 (#549) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -11.5 (#285) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.5 (#303) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.117 (#315) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.107 (#310) | NetEff -17.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.138 (#277) | AdjNet -15.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.137 (#276) | AdjNet -15.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.261 (#290) | AdjO 66.9 | AdjD 78.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.335 (#529) | AdjO 66.1 | AdjD 73.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.472 (#306) | 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 → | 0.429 (#318) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 822 (#532) | RD 151 | GP 29 |
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. Clark
|
F | 27 | 27.4 | 12.3 | 5.4 | 0.5 | 0.7 | 0.5 | 2.7 | 8.8 | 7.8 | 48 | 2.5 | 3.8 | 50.0 | 29.2 | 71.7 | 2.28 | 56.9 | 51.5 |
S. Brew
|
G | 28 | 28.2 | 11.4 | 3.9 | 3.8 | 1.0 | 0.0 | 3.4 | 9.2 | 7.5 | 2 | 0.1 | 0.1 | 45.2 | 30.7 | 67.7 | 1.94 | 53.3 | 49.6 |
K. McGuff
|
F | 25 | 29.9 | 9.2 | 6.6 | 1.1 | 0.9 | 0.4 | 1.8 | 7.2 | 9.3 | -91 | -4.3 | -6.6 | 37.6 | 32.4 | 71.6 | -1.21 | 51.1 | 43.6 |
M. Mitchell
|
F | 24 | 19.9 | 8.4 | 2.9 | 0.8 | 1.0 | 0.7 | 2.0 | 8.0 | 3.8 | 9 | 0.4 | 0.9 | 37.2 | 27.8 | 76.7 | -0.33 | 48.1 | 44.2 |
I. Callaway
|
G | 29 | 21.5 | 8.0 | 2.0 | 1.1 | 0.5 | 0.0 | 1.3 | 6.7 | 3.7 | 24 | 1.1 | 2.4 | 42.1 | 38.2 | 76.9 | -1.78 | 55.9 | 54.1 |
L. Murphy
|
G | 25 | 14.2 | 6.7 | 1.7 | 0.4 | 0.4 | 0.1 | 0.8 | 5.0 | 3.4 | 37 | 2.1 | 10.4 | 42.9 | 38.0 | 89.3 | 0.71 | 60.7 | 56.7 |
C. Reed
|
G | 26 | 23.7 | 6.2 | 3.5 | 1.9 | 0.8 | 0.2 | 2.8 | 5.4 | 4.3 | -16 | -0.7 | -1.2 | 40.4 | 32.7 | 55.4 | -1.98 | 48.6 | 46.1 |
N. Johnson
|
G | 26 | 16.8 | 5.3 | 2.7 | 1.5 | 0.7 | 0.1 | 1.8 | 5.5 | 2.9 | -35 | -1.7 | -6.8 | 37.1 | 25.0 | 62.1 | -4.65 | 44.0 | 41.6 |
M. Vejsicky
|
G | 27 | 13.9 | 3.3 | 1.4 | 0.7 | 0.4 | 0.3 | 1.1 | 4.0 | 1.0 | -12 | -0.5 | -1.9 | 28.4 | 19.7 | 65.0 | 1.97 | 38.2 | 35.3 |
K. Rhodes
|
G | 8 | 14.5 | 2.8 | 1.1 | 1.4 | 0.4 | 0.0 | 1.1 | 4.8 | -0.2 | -26 | -3.2 | -13.7 | 21.1 | 21.4 | 33.3 | -0.15 | 26.2 | 25.0 |
E. Wigal
|
G | 24 | 10.2 | 2.2 | 2.5 | 0.3 | 0.4 | 0.2 | 0.6 | 2.9 | 2.2 | 11 | 0.5 | 2.6 | 27.1 | 17.0 | 61.5 | -0.91 | 35.7 | 32.9 |
T. Clarke
|
G | 10 | 13.1 | 1.9 | 1.0 | 0.6 | 0.7 | 0.0 | 1.9 | 2.5 | -0.2 | -7 | -0.6 | -2.0 | 24.0 | 18.2 | 62.5 | -2.54 | 33.3 | 28.0 |
L. Taponen
|
C | 23 | 12.0 | 1.4 | 1.9 | 0.4 | 0.1 | 0.2 | 0.7 | 1.3 | 2.1 | 16 | 0.9 | 3.1 | 44.8 | 0 | 87.5 | 0.56 | 50.7 | 44.8 |
Kailee Bransford
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -7 | -0.5 | -0.8 | - | - | - | -0.37 | - | - |
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