Florida International Panthers
2023 Team Stats (4 games)
51.3
PPG
70.0
Opp
-18.8
Margin
30.8%
FG%
17.5%
3P%
70.9%
FT%
36.5
RPG
6.3
APG
20.0
TO
84.7
Pace
Model Outputs
2022-2023
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 → | 1051 (#168) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1109 (#146) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.8 (#195) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.871 (#50) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-13 | @ | Florida Atlantic Owls | L | 60 - 70 |
| 2023-01-16 | @ | North Texas Mean Green | L | 45 - 71 |
| 2023-01-28 | @ | Middle Tennessee Blue Raiders | L | 41 - 67 |
| 2023-03-08 | vs | Charlotte 49ers | L | 59 - 72 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Henderson
|
G | 4 | 32.2 | 15.5 | 6.0 | 1.0 | 1.8 | 0.2 | 2.8 | 17.5 | 4.2 | - | - | - | 28.6 | 20.0 | 80.0 | - | 38.3 | 30.0 |
A. Yoakum
|
F | 4 | 19.0 | 5.5 | 2.8 | 0.0 | 0.2 | 0.2 | 1.5 | 4.2 | 3.0 | - | - | - | 47.1 | 0.0 | 75.0 | - | 53.6 | 47.1 |
Z. Gonzalez
|
G | 4 | 24.5 | 5.2 | 3.0 | 0.2 | 1.5 | 0.0 | 1.8 | 6.2 | 2.0 | - | - | - | 36.0 | 0.0 | 50.0 | - | 38.0 | 36.0 |
T. Hayes
|
G | 4 | 23.0 | 5.2 | 3.5 | 1.5 | 2.0 | 0.5 | 3.8 | 6.5 | 2.5 | - | - | - | 19.2 | 28.6 | 90.0 | - | 34.5 | 23.1 |
M. Torres
|
F | 4 | 19.5 | 5.0 | 4.2 | 0.8 | 1.0 | 0.2 | 1.2 | 4.0 | 6.0 | - | - | - | 37.5 | 25.0 | 77.8 | - | 50.1 | 40.6 |
H. Butera
|
F | 4 | 22.5 | 4.2 | 6.2 | 0.2 | 0.0 | 0.5 | 1.5 | 3.0 | 6.8 | - | - | - | 58.3 | 0 | 50.0 | - | 58.1 | 58.3 |
M. Lazic
|
G | 4 | 13.8 | 3.2 | 2.2 | 1.2 | 0.0 | 0.0 | 1.0 | 2.2 | 3.5 | - | - | - | 44.4 | 28.6 | 50.0 | - | 55.8 | 55.6 |
S. Joyeuse
|
G | 4 | 7.8 | 3.0 | 1.2 | 0.2 | 0.2 | 0.0 | 2.2 | 4.0 | -1.5 | - | - | - | 25.0 | 30.0 | 25.0 | - | 33.8 | 34.4 |
O. Trice
|
SG | 4 | 30.8 | 2.5 | 1.2 | 1.0 | 0.8 | 0.8 | 2.8 | 6.2 | -2.8 | - | - | - | 16.0 | 6.2 | 50.0 | - | 19.3 | 18.0 |
S. Rodriguez Camacho
|
SG | 4 | 7.0 | 1.8 | 0.5 | 0.0 | 0.8 | 0.0 | 0.5 | 2.0 | 0.5 | - | - | - | 25.0 | 0.0 | 100.0 | - | 37.6 | 25.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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