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Dallas Wings

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

2026 Team Stats (2 games)

98.0
PPG
81.6
Opp
+8.0
Margin
50.4%
FG%
39.5%
3P%
80.4%
FT%
40.0
RPG
24.5
APG
18.0
TO
98.6
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 → 784 (#15) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 843 (#17) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +45 elo More → 858 (#17) HCA +45 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +0.6 (#12) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → -2.8 (#11) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.295 (#12) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -6.5 More → 0.295 (#12) NetEff -6.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.1 More → 0.495 (#12) AdjNet -0.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.1 More → 0.504 (#12) AdjNet +0.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.6 | AdjD 86.5 More → 0.480 (#12) AdjO 85.6 | AdjD 86.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.2 | AdjD 87.3 More → 0.386 (#14) AdjO 82.2 | AdjD 87.3
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 → 0.385 (#12) 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 → 0.367 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 138 | GP 46 More → 821 (#17) RD 138 | GP 46

2026 Schedule & Results

Date Vs/At Opponent Result Score
2026-04-30 @ Indiana Fever W 95 - 80
2026-05-03 vs Las Vegas Aces W 101 - 84
2026-05-09 @ Indiana Fever W 107 - 104
2026-05-12 vs Atlanta Dream L 72 - 77
2026-05-14 vs Minnesota Lynx L 86 - 90
2026-05-18 vs Washington Mystics W 92 - 69
2026-05-20 @ Chicago Sky W 99 - 89
2026-05-22 @ Atlanta Dream L 69 - 86
2026-05-24 @ New York Liberty W 91 - 76
2026-05-28 vs Las Vegas Aces W 95 - 87
2026-06-01 vs Seattle Storm W 79 - 56
2026-06-05 @ Los Angeles Sparks - 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%
A. James A. James G 2 24.0 17.5 5.5 2.5 3.0 0.5 3.5 13.0 12.5 - - - 42.3 20.0 78.6 - 54.4 46.2
M. Siegrist M. Siegrist F 2 25.5 16.0 8.0 0.5 0.5 0.5 1.0 11.5 13.0 - - - 60.9 33.3 100.0 - 67.0 65.2
P. Bueckers P. Bueckers G 2 21.0 15.5 3.0 6.0 1.0 0.0 1.5 10.5 13.5 - - - 57.1 71.4 100.0 - 70.8 69.0
Alyssa Smith Alyssa Smith F 2 15.5 8.5 5.5 3.0 0.5 0.0 3.0 4.0 10.5 - - - 75.0 100.0 100.0 - 95.7 93.8
A. Fudd A. Fudd - 2 18.5 8.0 0.0 1.0 0.0 0.0 0.5 8.5 0.0 - - - 35.3 14.3 75.0 - 42.6 38.2
Odyssey Sims Odyssey Sims G 2 15.5 7.0 1.5 3.0 0.5 0.0 0.0 4.5 7.5 - - - 66.7 100.0 50.0 - 70.9 72.2
JJ Quinerly JJ Quinerly G 1 11.0 7.0 3.0 3.0 1.0 0.0 3.0 3.0 8.0 - - - 33.3 100.0 100.0 - 73.5 50.0
J. Shepard J. Shepard F 1 17.0 6.0 5.0 2.0 0.0 0.0 0.0 2.0 11.0 - - - 100.0 0 50.0 - 79.8 100.0
A. Okonkwo A. Okonkwo F 2 10.0 4.0 2.5 0.0 1.0 0.0 1.5 3.5 2.5 - - - 28.6 20.0 100.0 - 48.1 35.7
Li Yueru Li Yueru C 2 8.5 4.0 4.0 1.0 0.0 0.0 2.0 2.5 4.5 - - - 60.0 0.0 66.7 - 63.3 60.0
D. Fankam Mendjiadeu D. Fankam Mendjiadeu F 2 11.0 4.0 2.0 0.5 0.0 0.0 1.0 3.5 2.0 - - - 57.1 0 0 - 57.1 57.1
Alysha Clark Alysha Clark F 2 12.5 3.0 2.5 1.0 1.5 0.0 1.0 1.5 5.5 - - - 66.7 0 66.7 - 69.4 66.7
Grace Berger Grace Berger G 2 11.5 2.5 1.5 2.5 0.5 0.0 0.0 2.0 5.0 - - - 25.0 50.0 100.0 - 51.2 37.5
Lindsay Allen Lindsay Allen G 2 9.0 1.5 0.0 1.0 0.0 0.0 1.0 1.0 0.5 - - - 50.0 0 100.0 - 61.5 50.0
R. Marshall R. Marshall C 1 3.0 0.0 0.0 0.0 1.0 0.0 1.0 0.0 0.0 - - - 0 0 0 - 0 0
C. Verona C. Verona F 1 4.0 0.0 0.0 0.0 1.0 0.0 0.0 4.0 -3.0 - - - 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