Connecticut Sun
2023 Team Stats (38 games)
83.2
PPG
78.7
Opp
+4.5
Margin
45.5%
FG%
37.5%
3P%
77.1%
FT%
32.8
RPG
21.2
APG
11.8
TO
87.6
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 → | 1138 (#3) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +6.8 (#10) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.414 (#11) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Bonner
|
F | 38 | 31.3 | 18.3 | 6.4 | 2.4 | 1.1 | 0.8 | 1.4 | 14.1 | 13.5 | - | - | - | 43.5 | 34.6 | 86.2 | -0.99 | 56.7 | 50.8 |
Brionna Jones
|
F | 5 | 33.2 | 17.6 | 8.4 | 2.2 | 1.6 | 0.2 | 2.2 | 11.8 | 16.0 | - | - | - | 61.0 | 100.0 | 65.2 | -0.84 | 63.7 | 61.9 |
A. Thomas
|
F | 38 | 36.4 | 16.2 | 9.0 | 8.5 | 1.9 | 0.5 | 3.4 | 13.7 | 19.0 | - | - | - | 48.6 | 0.0 | 70.5 | - | 52.2 | 48.6 |
Tiffany Hayes
|
G | 38 | 27.0 | 12.4 | 3.0 | 2.5 | 0.8 | 0.1 | 1.3 | 9.1 | 8.4 | - | - | - | 48.8 | 38.1 | 79.1 | 0.65 | 60.0 | 55.8 |
DiJonai Carrington
|
G | 31 | 17.7 | 8.2 | 3.0 | 1.3 | 0.8 | 0.1 | 1.2 | 7.0 | 5.1 | - | - | - | 41.7 | 37.0 | 76.1 | 0.09 | 51.4 | 46.3 |
Natisha Hiedeman
|
G | 38 | 24.8 | 7.8 | 2.0 | 2.4 | 0.7 | 0.1 | 1.2 | 7.0 | 4.9 | - | - | - | 40.4 | 39.3 | 73.7 | -1.24 | 52.4 | 50.4 |
Rebecca Allen
|
G | 37 | 24.5 | 7.0 | 3.3 | 1.1 | 1.2 | 1.4 | 0.9 | 6.5 | 6.5 | - | - | - | 41.9 | 33.9 | 73.9 | 0.98 | 51.4 | 50.0 |
T. Harris
|
G | 38 | 19.1 | 6.9 | 0.9 | 2.0 | 0.8 | 0.1 | 1.0 | 5.9 | 3.7 | - | - | - | 43.8 | 50.0 | 71.4 | 1.76 | 55.4 | 54.0 |
O. Nelson-Ododa
|
C | 37 | 16.3 | 5.0 | 4.0 | 0.6 | 0.6 | 0.8 | 0.7 | 3.5 | 6.9 | - | - | - | 56.2 | 0 | 76.5 | - | 60.7 | 56.2 |
Bernadett Határ
|
C | 6 | 7.7 | 2.0 | 1.5 | 0.2 | 0.7 | 0.3 | 0.7 | 2.7 | 1.3 | - | - | - | 37.5 | 0 | 0 | - | 37.5 | 37.5 |
L. Dixon
|
F | 4 | 5.2 | 1.0 | 0.5 | 0.2 | 0.0 | 0.2 | 0.8 | 1.2 | 0.0 | - | - | - | 40.0 | 0 | 0 | - | 40.0 | 40.0 |
Leigha Brown
|
G | 22 | 5.3 | 1.0 | 0.8 | 0.5 | 0.2 | 0.1 | 0.5 | 1.0 | 1.0 | - | - | - | 34.8 | 11.1 | 66.7 | - | 41.0 | 37.0 |
Kristine Anigwe
|
C | 3 | 2.3 | 0.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | -0.7 | - | - | - | 0.0 | 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