Minnesota Lynx
2023 Team Stats (36 games)
79.8
PPG
84.7
Opp
-4.9
Margin
43.7%
FG%
32.1%
3P%
79.0%
FT%
33.9
RPG
19.4
APG
13.0
TO
88.3
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 → | 1190 (#2) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +14.4 (#1) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.760 (#2) | - |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Collier
|
F | 33 | 33.9 | 22.3 | 9.0 | 2.5 | 1.5 | 1.2 | 2.2 | 17.2 | 17.0 | - | - | - | 49.2 | 29.2 | 82.8 | 0.09 | 56.8 | 51.7 |
Kayla McBride
|
G | 36 | 32.3 | 14.5 | 3.2 | 2.3 | 1.3 | 0.2 | 1.6 | 11.6 | 8.3 | - | - | - | 43.2 | 34.8 | 87.1 | -0.95 | 57.0 | 52.9 |
Diamond Miller
|
F | 30 | 26.7 | 11.7 | 3.4 | 2.5 | 0.9 | 0.3 | 2.3 | 11.0 | 5.5 | - | - | - | 39.8 | 32.0 | 76.0 | - | 48.5 | 44.7 |
J. Shepard
|
F | 14 | 23.4 | 7.3 | 6.1 | 2.3 | 0.5 | 0.1 | 1.4 | 5.6 | 9.3 | - | - | - | 48.1 | 0.0 | 78.8 | - | 54.5 | 48.1 |
Lindsay Allen
|
G | 23 | 26.6 | 6.9 | 2.6 | 5.1 | 0.7 | 0.1 | 1.3 | 6.3 | 7.8 | - | - | - | 41.1 | 14.8 | 85.4 | 0.15 | 48.5 | 42.5 |
Dorka Juhász
|
F | 34 | 25.7 | 6.6 | 6.9 | 2.9 | 1.0 | 0.6 | 1.4 | 5.6 | 11.0 | - | - | - | 48.9 | 25.6 | 50.0 | - | 52.4 | 51.8 |
Nikolina Milić
|
F | 36 | 13.0 | 6.1 | 2.5 | 0.9 | 0.1 | 0.1 | 1.1 | 5.1 | 3.5 | - | - | - | 46.2 | 33.3 | 80.4 | 0.09 | 53.2 | 48.1 |
Tiffany Mitchell
|
G | 29 | 21.2 | 5.8 | 2.1 | 2.3 | 0.5 | 0.1 | 1.9 | 5.7 | 3.2 | - | - | - | 36.6 | 25.0 | 80.9 | 2.33 | 45.2 | 39.3 |
Rachel Banham
|
G | 28 | 14.5 | 5.6 | 1.1 | 2.1 | 0.3 | 0.2 | 1.1 | 5.4 | 2.8 | - | - | - | 37.1 | 36.5 | 78.6 | -0.29 | 50.3 | 48.7 |
Aerial Powers
|
G | 14 | 10.0 | 5.0 | 1.7 | 0.9 | 0.1 | 0.1 | 1.2 | 3.9 | 2.7 | - | - | - | 42.6 | 38.5 | 95.0 | 2.09 | 55.7 | 47.2 |
B. Carleton
|
F | 36 | 16.4 | 3.7 | 2.6 | 0.9 | 0.4 | 0.1 | 0.4 | 3.2 | 4.1 | - | - | - | 38.8 | 35.7 | 73.7 | 0.3 | 53.9 | 51.7 |
E. Engstler
|
F | 12 | 7.9 | 1.8 | 2.4 | 0.6 | 0.4 | 0.1 | 0.8 | 1.8 | 2.7 | - | - | - | 38.1 | 28.6 | 37.5 | 1.76 | 42.8 | 42.9 |
K. Traylor
|
G | 8 | 4.4 | 1.0 | 0.1 | 0.4 | 0.2 | 0.0 | 0.4 | 1.2 | 0.1 | - | - | - | 30.0 | 0.0 | 100.0 | - | 36.8 | 30.0 |
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