Davidson Wildcats
2026 Team Stats (31 games)
65.9
PPG
57.5
Opp
+8.4
Margin
43.2%
FG%
33.4%
3P%
69.6%
FT%
34.2
RPG
13.1
APG
15.7
TO
78.2
Pace
67.6
AdjO
57.2
AdjD
#75
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 → | 1117 (#105) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1159 (#86) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1061 (#111) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.6 (#76) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +18.6 (#98) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.797 (#75) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.814 (#78) | NetEff +11.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.872 (#71) | AdjNet +16.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.876 (#73) | AdjNet +16.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.720 (#75) | AdjO 67.6 | AdjD 57.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.637 (#103) | AdjO 63.0 | AdjD 56.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.883 (#81) | 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 → | 0.852 (#85) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1171 (#86) | RD 146 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Dunn
|
G | 31 | 33.4 | 15.2 | 7.5 | 2.0 | 1.9 | 0.7 | 2.5 | 13.2 | 11.5 | 109 | 4.2 | 4.8 | 41.7 | 30.1 | 82.6 | 1.87 | 52.6 | 48.5 |
K. Donovan
|
G | 31 | 32.4 | 12.1 | 2.9 | 1.2 | 1.2 | 0.5 | 1.9 | 8.8 | 7.1 | 70 | 2.7 | 3.1 | 45.2 | 45.9 | 80.7 | -0.62 | 60.8 | 56.6 |
K. Bruyndoncx
|
G | 28 | 28.2 | 9.3 | 1.8 | 1.1 | 0.9 | 0.1 | 1.4 | 8.3 | 3.6 | 72 | 2.9 | 3.8 | 42.5 | 34.3 | 68.0 | 0.29 | 53.5 | 52.4 |
E. Strausz
|
C | 30 | 13.5 | 6.4 | 3.2 | 0.6 | 0.5 | 0.4 | 1.8 | 5.1 | 4.2 | 40 | 1.6 | 3.9 | 55.2 | 0.0 | 62.2 | 1.31 | 56.7 | 55.2 |
I. Garcia Monje
|
F | 30 | 22.2 | 5.2 | 4.9 | 2.3 | 1.4 | 0.5 | 1.7 | 4.8 | 7.8 | 52 | 2.1 | 3.3 | 44.4 | 13.8 | 37.9 | 0.98 | 45.4 | 45.8 |
C. Lienafa
|
F | 31 | 14.6 | 5.0 | 3.1 | 0.7 | 0.4 | 0.4 | 1.0 | 4.5 | 4.1 | 55 | 2.1 | 5.6 | 37.7 | 32.7 | 70.2 | -0.84 | 48.8 | 44.2 |
E. Bessell
|
G | 30 | 14.5 | 4.4 | 1.3 | 0.8 | 1.0 | 0.1 | 1.5 | 3.5 | 2.7 | 59 | 2.5 | 6.4 | 45.2 | 36.4 | 79.5 | 1.37 | 54.9 | 49.0 |
E. Alvarez Castellanos
|
G | 30 | 19.6 | 4.3 | 2.1 | 2.3 | 0.9 | 0.1 | 1.7 | 3.5 | 4.5 | 90 | 3.5 | 6.7 | 44.3 | 36.4 | 75.0 | 3.98 | 52.9 | 48.1 |
A. Nightingale
|
F | 1 | 2.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | 5 | 5.0 | 103.4 | 100.0 | 100.0 | 0 | 0.75 | 150.0 | 150.0 |
J. Timmerson
|
G | 31 | 13.0 | 2.2 | 1.5 | 1.4 | 0.7 | 0.1 | 1.1 | 2.0 | 2.8 | 55 | 2.1 | 9.3 | 40.3 | 32.4 | 62.5 | 2.08 | 51.1 | 50.0 |
A. Ziaka
|
G | 27 | 13.6 | 2.2 | 1.8 | 0.7 | 0.7 | 0.5 | 0.5 | 2.6 | 2.8 | 44 | 2.0 | 5.9 | 30.0 | 25.0 | 70.0 | 1.1 | 39.7 | 37.1 |
S. Gutierrez-Rodriguez
|
G | 3 | 1.0 | 1.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.3 | 3 | 1.5 | 59.0 | 100.0 | 100.0 | 0.0 | 0.56 | 102.5 | 125.0 |
S. Jackson
|
G | 7 | 3.6 | 1.3 | 0.1 | 0.3 | 0.1 | 0.0 | 0.1 | 1.1 | 0.6 | -26 | -1.4 | -9.2 | 50.0 | 0.0 | 50.0 | -0.88 | 50.7 | 50.0 |
S. Dauer
|
G | 18 | 6.1 | 1.2 | 0.8 | 0.4 | 0.4 | 0.0 | 0.7 | 1.9 | 0.2 | -2 | -0.1 | -0.5 | 28.6 | 10.0 | 50.0 | -2.09 | 30.7 | 30.0 |
E. Buerk
|
F | 6 | 2.7 | 0.3 | 0.5 | 0.0 | 0.2 | 0.3 | 0.3 | 0.3 | 0.7 | 23 | 4.6 | 103.8 | 50.0 | 0 | 0.0 | 2.5 | 34.7 | 50.0 |
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