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Washington Mystics

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Washington Mystics
Program History

2026 Team Stats (2 games)

74.5
PPG
83.1
Opp
-0.8
Margin
38.1%
FG%
29.4%
3P%
65.2%
FT%
31.5
RPG
16.5
APG
15.0
TO
92.5
Pace

Model Outputs

2025 latest available
Catalog

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. HCA +45 elo More β†’ 886 (#15) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More β†’ +1.7 (#11) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 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. NetEff -5.8 More β†’ 0.308 (#11) NetEff -5.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.0 More β†’ 0.500 (#11) AdjNet -0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.2 More β†’ 0.507 (#11) AdjNet +0.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.8 | AdjD 79.9 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. AdjO 75.5 | AdjD 81.7 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 142 | GP 46 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
2026-05-03 @ Atlanta Dream W 83 - 72
2026-05-08 @ Toronto Tempo W 68 - 65
2026-05-10 vs New York Liberty L 93 - 98
2026-05-15 @ Indiana Fever W 104 - 102
2026-05-18 @ Dallas Wings L 69 - 92
2026-05-24 @ Seattle Storm L 85 - 97
2026-05-27 @ Seattle Storm W 78 - 64
2026-05-29 vs Los Angeles Sparks L 87 - 92
2026-06-02 vs Chicago Sky W 90 - 72
2026-06-06 @ Atlanta Dream - Preview

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 L. Betts - 2 24.5 15.0 4.5 2.0 1.0 0.5 1.0 9.5 12.5 - - - 47.4 0 85.7 - 59.6 47.4
K. Iriafen K. Iriafen F 1 16.0 11.0 4.0 1.0 0.0 2.0 3.0 6.0 9.0 - - - 50.0 100.0 80.0 - 67.1 58.3
C. McMahon C. McMahon - 2 25.0 10.0 2.0 1.5 2.0 0.0 0.5 7.0 8.0 - - - 42.9 25.0 58.3 - 51.9 46.4
S. Citron S. Citron G 2 19.5 9.0 2.5 2.5 0.5 0.0 1.0 8.0 5.5 - - - 37.5 33.3 80.0 - 49.5 43.8
C. Prosper C. Prosper - 2 19.5 6.0 4.0 1.0 0.5 0.5 1.5 5.0 5.5 - - - 30.0 50.0 62.5 - 44.4 35.0
L. Olsen L. Olsen G 2 19.0 5.5 3.0 2.0 0.5 0.0 1.0 4.0 6.0 - - - 50.0 0.0 75.0 - 56.4 50.0
G. Amoore G. Amoore - 2 15.0 5.5 1.0 2.0 2.0 0.0 1.5 5.5 3.5 - - - 36.4 42.9 0 - 50.0 50.0
D. Littlepage-Buggs D. Littlepage-Buggs - 2 12.0 5.0 2.5 0.5 0.0 0.5 1.0 3.0 4.5 - - - 50.0 50.0 75.0 - 64.4 58.3
A. Dugalić A. Dugalić - 2 20.0 4.5 5.5 1.0 2.5 1.0 1.5 7.0 6.0 - - - 21.4 16.7 100.0 - 30.2 25.0
N. Harris 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
R. Harmon R. Harmon - 2 17.0 3.5 0.5 2.5 2.5 0.0 3.5 4.0 1.5 - - - 37.5 0.0 16.7 - 32.9 37.5
C. Iwuala C. Iwuala - 2 5.0 2.5 2.0 0.5 0.5 0.0 0.5 3.5 1.5 - - - 28.6 0 50.0 - 31.7 28.6
K. McDaniel 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
M. Scott M. Scott G 2 6.0 0.0 0.5 0.0 1.0 0.0 0.5 1.5 -0.5 - - - 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