Furman Paladins
2022 Team Stats (3 games)
65.7
PPG
49.7
Opp
+16.0
Margin
35.9%
FG%
29.5%
3P%
80.0%
FT%
47.3
RPG
12.3
APG
19.0
TO
89.6
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 → | 1116 (#115) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1001 (#239) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.8 (#262) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.793 (#75) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-22 | vs | Erskine Flying Fleet | W | 63 - 27 |
| 2022-03-03 | vs | Chattanooga Mocs | W | 70 - 63 |
| 2022-03-04 | @ | Wofford Terriers | W | 64 - 59 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Hodges
|
G | 2 | 42.5 | 20.0 | 16.0 | 1.0 | 1.5 | 0.0 | 4.0 | 17.0 | 17.5 | - | - | - | 41.2 | 25.0 | 83.3 | 0.53 | 50.9 | 44.1 |
T. Lash
|
G | 2 | 41.0 | 19.0 | 5.0 | 6.0 | 1.5 | 0.5 | 6.5 | 14.0 | 11.5 | - | - | - | 39.3 | 43.8 | 90.0 | - | 58.6 | 51.8 |
S. James
|
G | 3 | 28.7 | 10.7 | 4.7 | 1.3 | 1.0 | 1.3 | 1.7 | 10.3 | 7.0 | -54 | -2.6 | -24.1 | 38.7 | 31.2 | 50.0 | 1.69 | 47.6 | 46.8 |
G. van Rij
|
F | 3 | 28.3 | 9.0 | 5.3 | 0.3 | 0.7 | 0.7 | 1.0 | 8.0 | 7.0 | - | - | - | 45.8 | 0 | 83.3 | 0.55 | 50.7 | 45.8 |
G. Boone
|
G | 3 | 26.0 | 6.0 | 4.0 | 1.0 | 1.7 | 0.0 | 1.0 | 6.3 | 5.3 | -86 | -3.4 | -16.8 | 31.6 | 27.8 | 50.0 | -0.36 | 45.3 | 44.7 |
N. Henley
|
G | 3 | 21.0 | 5.7 | 3.3 | 0.7 | 0.3 | 0.0 | 1.3 | 9.0 | -0.3 | -75 | -3.1 | -22.0 | 25.9 | 21.4 | 0 | 0.34 | 31.5 | 31.5 |
A. Irizarry-Perez
|
F | 1 | 10.0 | 3.0 | 6.0 | 2.0 | 3.0 | 0.0 | 1.0 | 2.0 | 11.0 | -21 | -21.0 | -1172.1 | 50.0 | 100.0 | 0 | -1.64 | 75.0 | 75.0 |
C. Dyke
|
F | 1 | 7.0 | 3.0 | 7.0 | 0.0 | 0.0 | 0.0 | 5.0 | 3.0 | 2.0 | 38 | 19.0 | 76.0 | 33.3 | 0 | 50.0 | -0.14 | 38.7 | 33.3 |
K. Johnson
|
F | 2 | 9.5 | 3.0 | 2.5 | 0.5 | 0.0 | 0.0 | 0.5 | 3.5 | 2.0 | -86 | -4.3 | -30.1 | 42.9 | 0 | 0 | 0.85 | 42.9 | 42.9 |
J. Session
|
F | 3 | 9.3 | 2.3 | 2.0 | 0.0 | 0.3 | 0.0 | 1.3 | 1.7 | 1.7 | -104 | -5.2 | -23.0 | 40.0 | 0 | 100.0 | 0.35 | 55.4 | 40.0 |
K. Grier
|
G | 1 | 14.0 | 2.0 | 2.0 | 2.0 | 3.0 | 0.0 | 0.0 | 4.0 | 5.0 | 32 | 10.7 | 64.0 | 25.0 | 0.0 | 0 | -0.14 | 25.0 | 25.0 |
P. Koilia
|
G | 2 | 6.5 | 1.0 | 0.5 | 1.5 | 0.0 | 0.0 | 1.0 | 0.5 | 1.5 | 56 | 4.0 | 28.4 | 0.0 | 0.0 | 100.0 | 0.72 | 53.2 | 0.0 |
J. Outten
|
G | 3 | 14.0 | 0.7 | 1.7 | 1.7 | 0.7 | 1.0 | 1.7 | 1.7 | 2.3 | - | - | - | 0.0 | 0 | 100.0 | 0.83 | 17.0 | 0.0 |
B. Mateo
|
G | 1 | 5.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Hill-Mims
|
F | 1 | 8.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | -2.0 | - | - | - | 0 | 0 | 0 | -0.11 | 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