Furman Paladins
2026 Team Stats (28 games)
67.1
PPG
61.8
Opp
+5.3
Margin
40.5%
FG%
31.7%
3P%
63.0%
FT%
39.6
RPG
12.9
APG
18.0
TO
87.2
Pace
61.6
AdjO
69.2
AdjD
#254
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 → | 1006 (#182) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 963 (#203) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1000 (#188) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -8.1 (#257) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +9.0 (#214) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.377 (#217) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.277 (#238) | NetEff -7.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.234 (#246) | AdjNet -10.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.229 (#247) | AdjNet -10.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.333 (#254) | AdjO 61.6 | AdjD 69.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.625 (#112) | AdjO 65.3 | AdjD 59.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.700 (#198) | 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 → | 0.688 (#188) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1041 (#187) | RD 150 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Coyle
|
F | 28 | 32.4 | 15.1 | 9.4 | 1.7 | 2.1 | 1.4 | 2.3 | 11.5 | 16.0 | 86 | 3.7 | 4.8 | 54.8 | 0.0 | 54.7 | 5.98 | 55.9 | 54.8 |
A. Ervin
|
G | 28 | 28.8 | 14.1 | 3.0 | 1.3 | 1.7 | 0.7 | 2.0 | 11.7 | 7.2 | 176 | 7.7 | 12.2 | 39.4 | 34.5 | 72.5 | 3.27 | 52.1 | 47.2 |
R. McGowens
|
G | 28 | 29.6 | 8.9 | 5.1 | 1.8 | 1.8 | 0.5 | 2.7 | 8.8 | 6.6 | 35 | 1.5 | 2.2 | 31.4 | 19.4 | 65.2 | -0.79 | 40.9 | 32.9 |
C. Stuart
|
G | 25 | 24.9 | 7.2 | 3.5 | 4.2 | 1.4 | 0.2 | 3.5 | 7.9 | 5.1 | -91 | -4.8 | -7.6 | 32.0 | 23.9 | 70.0 | -4.37 | 40.1 | 34.8 |
L. Bailey
|
G | 23 | 24.3 | 6.1 | 2.8 | 0.7 | 1.1 | 0.2 | 1.5 | 5.7 | 3.7 | -40 | -1.7 | -2.6 | 36.2 | 37.0 | 100.0 | -3.08 | 53.5 | 53.1 |
S. Pearl
|
G | 28 | 19.5 | 5.3 | 1.9 | 2.1 | 0.7 | 0.0 | 1.9 | 5.3 | 2.9 | 91 | 4.0 | 10.0 | 38.5 | 33.3 | 81.2 | -0.78 | 48.1 | 45.9 |
K. Parnell
|
F | 21 | 18.0 | 4.1 | 3.8 | 1.1 | 0.8 | 0.4 | 1.2 | 4.1 | 4.9 | 86 | 5.4 | 9.1 | 39.5 | 27.9 | 63.6 | -1.59 | 47.9 | 46.5 |
B. King
|
G | 20 | 17.5 | 3.9 | 3.6 | 0.5 | 1.4 | 0.8 | 1.6 | 4.3 | 4.2 | 99 | 6.6 | 21.1 | 34.5 | 28.6 | 50.0 | -0.05 | 40.6 | 39.1 |
C. Warren
|
F | 12 | 11.8 | 3.5 | 2.0 | 0.2 | 0.2 | 0.5 | 1.0 | 2.4 | 2.9 | -29 | -2.1 | -7.4 | 58.6 | 0.0 | 72.7 | -1.46 | 62.1 | 58.6 |
S. Taylor
|
G | 25 | 10.9 | 3.1 | 1.4 | 0.4 | 1.0 | 0.0 | 0.8 | 3.1 | 2.1 | 48 | 2.4 | 9.7 | 37.7 | 22.2 | 47.4 | 0.29 | 41.6 | 39.0 |
T. Berry
|
F | 21 | 6.8 | 2.2 | 2.1 | 0.1 | 0.2 | 0.4 | 0.6 | 1.7 | 2.7 | 0 | 0.0 | 0.0 | 58.3 | 0 | 33.3 | -0.24 | 55.2 | 58.3 |
H. Englert
|
G | 12 | 5.9 | 1.2 | 0.9 | 0.0 | 0.2 | 0.1 | 0.2 | 1.0 | 1.2 | 30 | 3.0 | 80.5 | 50.0 | 66.7 | 0 | 0.94 | 58.3 | 58.3 |
Hanna Hansson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Asa Snyder
|
G | 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