Washington Mystics
2025 Team Stats (46 games)
76.9
PPG
81.5
Opp
-4.6
Margin
43.7%
FG%
32.2%
3P%
75.5%
FT%
33.2
RPG
19.2
APG
14.4
TO
87.3
Pace
79.8
AdjO
79.9
AdjD
#11
Rank
Model Outputs
2025
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 β | 773 (#16) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More β | 918 (#12) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More β | 886 (#15) | HCA +45 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More β | +1.7 (#11) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More β | -3.9 (#12) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More β | 0.308 (#11) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More β | 0.308 (#11) | NetEff -5.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More β | 0.500 (#11) | AdjNet -0.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More β | 0.507 (#11) | AdjNet +0.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More β | 0.500 (#11) | AdjO 79.8 | AdjD 79.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More β | 0.363 (#15) | AdjO 75.5 | AdjD 81.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More β | 0.385 (#11) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More β | 0.359 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More β | 889 (#13) | RD 142 | GP 46 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brittney Sykes
|
G | 27 | 30.1 | 15.4 | 3.3 | 4.1 | 1.2 | 0.3 | 2.6 | 12.7 | 9.0 | - | - | - | 38.7 | 31.2 | 78.3 | -0.54 | 50.1 | 42.2 |
S. Citron
|
G | 46 | 31.6 | 14.7 | 3.9 | 2.3 | 1.3 | 0.4 | 2.1 | 10.5 | 9.9 | - | - | - | 47.4 | 45.2 | 87.5 | - | 61.3 | 56.1 |
K. Iriafen
|
F | 46 | 26.6 | 13.1 | 8.4 | 1.5 | 0.6 | 0.2 | 2.2 | 10.2 | 11.4 | - | - | - | 48.7 | 16.7 | 79.0 | - | 54.9 | 48.9 |
S. Austin
|
F | 38 | 23.0 | 12.7 | 6.4 | 1.8 | 1.1 | 1.1 | 2.4 | 10.8 | 9.8 | - | - | - | 46.5 | 13.3 | 66.4 | - | 50.6 | 46.7 |
Sug Sutton
|
G | 45 | 26.2 | 7.1 | 2.0 | 3.9 | 0.8 | 0.1 | 2.0 | 6.5 | 5.3 | - | - | - | 41.2 | 33.9 | 74.0 | - | 50.8 | 48.3 |
Jacy Sheldon
|
G | 2 | 15.5 | 6.5 | 1.5 | 0.5 | 0.0 | 0.0 | 0.5 | 5.0 | 3.0 | - | - | - | 40.0 | 16.7 | 80.0 | - | 53.3 | 45.0 |
Aaliyah Edwards
|
F | 21 | 13.3 | 6.0 | 3.3 | 0.4 | 0.5 | 0.3 | 1.1 | 4.5 | 4.9 | - | - | - | 47.9 | 0.0 | 62.5 | - | 52.7 | 47.9 |
J. Melbourne
|
G | 45 | 23.3 | 5.9 | 1.8 | 2.8 | 0.7 | 0.2 | 1.7 | 5.1 | 4.6 | - | - | - | 39.8 | 27.4 | 68.4 | 0.26 | 49.7 | 45.5 |
A. Prechtel
|
- | 2 | 18.0 | 5.0 | 4.0 | 0.5 | 0.0 | 0.5 | 1.5 | 5.0 | 3.5 | - | - | - | 40.0 | 0.0 | 66.7 | - | 44.2 | 40.0 |
Alysha Clark
|
F | 15 | 22.9 | 4.5 | 3.5 | 1.5 | 0.5 | 0.1 | 0.3 | 4.6 | 5.3 | - | - | - | 36.2 | 24.4 | 61.5 | 0.18 | 45.5 | 43.5 |
Z. Green
|
- | 2 | 13.5 | 4.0 | 1.5 | 2.5 | 1.0 | 0.0 | 0.5 | 4.5 | 4.0 | - | - | - | 33.3 | 0.0 | 100.0 | - | 40.5 | 33.3 |
E. Engstler
|
F | 42 | 13.2 | 3.9 | 3.3 | 1.5 | 0.7 | 0.7 | 1.0 | 3.6 | 5.6 | - | - | - | 40.0 | 25.7 | 66.7 | -0.43 | 49.1 | 46.0 |
L. Olsen
|
G | 43 | 12.7 | 3.9 | 1.2 | 1.2 | 0.3 | 0.1 | 0.6 | 4.0 | 2.2 | - | - | - | 39.3 | 25.7 | 82.4 | - | 46.8 | 44.8 |
S. Dolson
|
C | 45 | 15.4 | 3.8 | 2.4 | 1.4 | 0.3 | 0.3 | 0.7 | 3.3 | 4.3 | - | - | - | 43.0 | 35.9 | 73.9 | - | 54.4 | 52.3 |
Marion Jones
|
- | 1 | 6.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0 | - | 150.0 | 150.0 |
Sika KonΓ©
|
F | 11 | 6.8 | 2.1 | 1.6 | 0.5 | 0.0 | 0.0 | 0.5 | 1.6 | 2.0 | - | - | - | 38.9 | 33.3 | 88.9 | 0.46 | 52.4 | 41.7 |
K. Cave
|
- | 2 | 9.0 | 2.0 | 2.0 | 0.5 | 0.5 | 0.5 | 0.0 | 3.0 | 2.5 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
J. Lacey
|
- | 1 | 9.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 5.0 | -3.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
M. Scott
|
G | 9 | 5.2 | 1.6 | 0.1 | 0.2 | 0.2 | 0.0 | 0.1 | 1.2 | 0.8 | - | - | - | 45.5 | 0.0 | 100.0 | - | 54.9 | 45.5 |
G. Amoore
|
G | 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