Indiana Fever
2023 Team Stats (34 games)
81.0
PPG
84.8
Opp
-3.8
Margin
44.5%
FG%
33.9%
3P%
78.8%
FT%
33.4
RPG
18.1
APG
14.1
TO
89.7
Pace
Model Outputs
2023
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 991 (#7) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +8.8 (#8) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.536 (#8) | - |
2023 Schedule & Results
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. Mitchell
|
G | 34 | 33.8 | 18.5 | 1.6 | 3.2 | 0.9 | 0.1 | 2.3 | 13.8 | 8.1 | - | - | - | 44.9 | 39.7 | 82.0 | 1.65 | 58.8 | 54.0 |
NaLyssa Smith
|
F | 25 | 29.0 | 16.0 | 8.9 | 1.5 | 0.3 | 0.3 | 2.6 | 12.8 | 11.6 | - | - | - | 49.4 | 28.8 | 67.0 | 1.82 | 54.7 | 51.7 |
A. Boston
|
F | 34 | 31.8 | 14.2 | 8.7 | 2.3 | 1.4 | 1.2 | 2.0 | 10.2 | 15.6 | - | - | - | 55.7 | 37.5 | 75.4 | - | 60.1 | 56.2 |
E. Wheeler
|
G | 34 | 26.9 | 10.2 | 3.2 | 5.0 | 1.2 | 0.1 | 2.0 | 9.4 | 8.4 | - | - | - | 39.9 | 28.9 | 88.6 | - | 49.3 | 43.7 |
Emma Cannon
|
F | 26 | 11.4 | 6.4 | 3.4 | 0.5 | 0.2 | 0.1 | 1.3 | 4.9 | 4.4 | - | - | - | 44.9 | 36.4 | 90.9 | 0.76 | 56.7 | 49.6 |
K. Wallace
|
G | 31 | 19.2 | 6.2 | 2.2 | 2.0 | 0.6 | 0.3 | 1.2 | 6.0 | 4.0 | - | - | - | 39.6 | 41.7 | 72.2 | - | 49.0 | 47.6 |
Victoria Vivians
|
G | 32 | 17.9 | 5.3 | 3.2 | 1.2 | 0.7 | 0.2 | 0.9 | 5.2 | 4.5 | - | - | - | 38.8 | 28.4 | 77.8 | - | 48.1 | 45.2 |
L. Hull
|
G | 24 | 21.5 | 4.7 | 2.5 | 1.1 | 1.0 | 0.3 | 1.0 | 4.7 | 3.9 | - | - | - | 39.8 | 22.7 | 75.0 | 0.88 | 46.7 | 44.2 |
Grace Berger
|
G | 31 | 15.6 | 4.6 | 1.7 | 1.9 | 0.5 | 0.2 | 1.1 | 3.8 | 4.1 | - | - | - | 45.3 | 50.0 | 83.3 | - | 55.7 | 52.1 |
Maya Caldwell
|
G | 25 | 9.6 | 1.8 | 1.0 | 0.5 | 0.3 | 0.1 | 0.8 | 2.1 | 0.8 | - | - | - | 30.8 | 14.3 | 84.6 | 0.47 | 39.8 | 33.7 |
Queen Egbo
|
C | 10 | 6.8 | 1.7 | 3.1 | 0.1 | 0.1 | 0.0 | 0.7 | 1.9 | 2.4 | - | - | - | 31.6 | 0 | 62.5 | 0.41 | 37.7 | 31.6 |
Amanda Zahui B
|
C | 22 | 7.2 | 1.5 | 1.0 | 0.3 | 0.1 | 0.5 | 0.5 | 2.1 | 0.9 | - | - | - | 26.1 | 13.0 | 75.0 | - | 33.3 | 29.3 |
V. Saxton
|
F | 13 | 3.9 | 1.5 | 0.7 | 0.0 | 0.1 | 0.0 | 0.5 | 1.4 | 0.4 | - | - | - | 33.3 | 50.0 | 85.7 | - | 45.1 | 36.1 |
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