Washington Mystics
2026 Team Stats (1 games)
66.0
PPG
77.0
Opp
-11.0
Margin
27.7%
FG%
25.0%
3P%
62.5%
FT%
37.0
RPG
13.0
APG
14.0
TO
96.6
Pace
Model Outputs
2025 latest available
No materialized model snapshot for 2026 yet, so this section is showing the latest available team-model rows.
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 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-04-25 | vs | Minnesota Lynx | L | 66 - 77 |
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Betts
|
- | 1 | 23.0 | 13.0 | 5.0 | 1.0 | 1.0 | 1.0 | 1.0 | 7.0 | 13.0 | - | - | - | 28.6 | 0 | 90.0 | - | 57.0 | 28.6 |
S. Citron
|
G | 1 | 20.0 | 12.0 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 11.0 | 5.0 | - | - | - | 36.4 | 33.3 | 66.7 | - | 48.7 | 45.5 |
C. McMahon
|
- | 1 | 23.0 | 11.0 | 3.0 | 2.0 | 2.0 | 0.0 | 1.0 | 10.0 | 7.0 | - | - | - | 40.0 | 25.0 | 40.0 | - | 45.1 | 45.0 |
C. Prosper
|
- | 1 | 20.0 | 9.0 | 5.0 | 2.0 | 0.0 | 1.0 | 3.0 | 7.0 | 7.0 | - | - | - | 28.6 | 100.0 | 66.7 | - | 46.7 | 35.7 |
D. Littlepage-Buggs
|
- | 1 | 10.0 | 5.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | 4.0 | - | - | - | 33.3 | 0.0 | 75.0 | - | 52.5 | 33.3 |
N. Harris
|
- | 1 | 11.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
C. Iwuala
|
- | 1 | 7.0 | 3.0 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 4.0 | 2.0 | - | - | - | 25.0 | 0 | 50.0 | - | 30.7 | 25.0 |
G. Amoore
|
- | 1 | 13.0 | 3.0 | 1.0 | 2.0 | 1.0 | 0.0 | 1.0 | 4.0 | 2.0 | - | - | - | 25.0 | 33.3 | 0 | - | 37.5 | 37.5 |
A. DugaliΔ
|
- | 1 | 20.0 | 2.0 | 5.0 | 0.0 | 2.0 | 1.0 | 1.0 | 7.0 | 2.0 | - | - | - | 0.0 | 0.0 | 100.0 | - | 12.7 | 0.0 |
L. Olsen
|
G | 1 | 22.0 | 2.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 4.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
K. McDaniel
|
- | 1 | 8.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | - | - | - | 0.0 | 0.0 | 25.0 | - | 13.3 | 0.0 |
R. Harmon
|
- | 1 | 16.0 | 1.0 | 1.0 | 1.0 | 3.0 | 0.0 | 3.0 | 2.0 | 1.0 | - | - | - | 0.0 | 0 | 25.0 | - | 13.3 | 0.0 |
M. Scott
|
G | 1 | 7.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
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