Furman
2022 Team Stats (3 games)
67.3
PPG
69.9
Opp
+8.2
Margin
45.8%
FG%
29.9%
3P%
64.7%
FT%
29.7
RPG
17.0
APG
10.0
TO
71.0
Pace
Model Outputs
2021-2022
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 → | 1298 (#76) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1266 (#121) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1029 (#134) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +26.1 (#134) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +20.2 (#71) | HCA +2.4 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.444 (#146) | NetEff -2.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.706 (#31) | AdjO 75.1 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.845 (#83) | 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 → | 0.823 (#78) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1138 (#112) | RD 140 | GP 31 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Bothwell
|
- | 31 | 31.9 | 15.4 | 4.2 | 2.9 | 1.0 | 0.4 | 1.8 | 1.8 | 20.3 | 297 | 8.7 | 11.0 | 50.9 | 38.5 | 64.7 | 1.38 | 370.7 | 59.6 |
J. Slawson
|
- | 31 | 30.8 | 14.9 | 7.5 | 3.7 | 1.6 | 1.6 | 2.6 | 1.7 | 25.0 | - | - | - | 51.9 | 26.1 | 64.7 | 1.21 | 387.5 | 57.7 |
A. Hunter
|
G | 3 | 36.0 | 11.3 | 4.0 | 5.0 | 1.7 | 0.0 | 1.0 | 9.7 | 11.3 | 307 | 9.0 | 11.5 | 44.8 | 38.1 | 0 | 1.63 | 58.6 | 58.6 |
Marcus Foster
|
G | 31 | 23.5 | 8.4 | 4.7 | 1.1 | 1.1 | 0.2 | 0.9 | 1.0 | 13.7 | 210 | 6.2 | 10.5 | 43.3 | 9.1 | 90.9 | 1.15 | 374.6 | 45.0 |
C. Garrison
|
G | 3 | 33.0 | 6.3 | 5.0 | 1.7 | 0.3 | 0.3 | 1.3 | 5.7 | 6.7 | 288 | 8.7 | 11.3 | 35.3 | 38.5 | 100.0 | 1.48 | 53.1 | 50.0 |
Garrett Hien
|
F | 30 | 18.5 | 5.5 | 2.6 | 1.8 | 0.5 | 0.2 | 1.2 | 0.8 | 8.6 | 84 | 2.5 | 5.4 | 56.5 | 40.0 | 25.0 | -0.25 | 331.2 | 60.9 |
Jp Pegues
|
- | 26 | 13.3 | 3.7 | 1.4 | 1.1 | 0.3 | 0.2 | 0.7 | 0.2 | 5.8 | 54 | 1.9 | 5.8 | 0.0 | 0.0 | 100.0 | 0.25 | 625.0 | 0.0 |
A. Williams
|
- | 14 | 8.1 | 3.4 | 0.6 | 0.1 | 0.1 | 0.0 | 0.4 | 0.9 | 2.9 | -50 | -1.9 | -2.4 | 50.0 | 33.3 | 66.7 | 1.61 | 176.4 | 58.3 |
Tyrese Hughey
|
F | 19 | 11.0 | 2.9 | 2.8 | 0.2 | 0.3 | 0.4 | 0.4 | 0.3 | 5.9 | 47 | 2.1 | 7.6 | 40.0 | 0.0 | 0.0 | 0.18 | 443.0 | 40.0 |
Joe Anderson
|
- | 2 | 16.0 | 1.5 | 0.0 | 2.5 | 0.5 | 0.0 | 0.0 | 2.5 | 2.0 | 42 | 1.4 | 3.9 | 20.0 | 20.0 | 0 | -0.16 | 30.0 | 30.0 |
J. Repass
|
F | 2 | 2.0 | 1.0 | 0.0 | 0.5 | 0.5 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 25.0 | 0 | 0 | - | 25.0 | 25.0 |
R. Lister
|
- | 6 | 1.3 | 0.0 | 0.3 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.3 | - | - | - | 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