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Dallas Wings

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

2019 Team Stats (34 games)

71.6
PPG
77.4
Opp
-5.8
Margin
38.9%
FG%
32.6%
3P%
81.1%
FT%
33.9
RPG
15.2
APG
12.6
TO
76.0
Est. poss./game
69.6
Adj PPG
74.8
Adj Opp PPG
#10
Scoring Rank

Model Outputs

2019
Catalog

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 → 825 (#11) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 855 (#11) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +84 elo More → 910 (#10) HCA +84 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +4.1 More → -5.4 (#10) HCA +4.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +4.3 More → -5.7 (#10) HCA +4.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.290 (#10) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -6.9 More → 0.311 (#10) AdjNet -6.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -6.9 More → 0.310 (#10) AdjNet -6.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.6 | AdjD 74.8 More → 0.383 (#10) AdjO 69.6 | AdjD 74.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.7 | AdjD 76.8 More → 0.387 (#10) AdjO 71.7 | AdjD 76.8
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 → 0.329 (#10) 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 → 0.330 (#10) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 152 | GP 34 More → 875 (#10) RD 152 | GP 34

2019 Schedule & Results

Date Vs/At Opponent Result Score
2019-05-24 @ Atlanta Dream L 72 - 76
2019-06-01 vs Minnesota Lynx L 67 - 70
2019-06-07 @ Indiana Fever L 64 - 79
2019-06-09 @ Washington Mystics L 62 - 86
2019-06-13 vs Indiana Fever L 72 - 76
2019-06-15 vs Atlanta Dream W 71 - 61
2019-06-20 vs Phoenix Mercury W 69 - 54
2019-06-22 @ Las Vegas Aces L 68 - 86
2019-06-26 vs Connecticut Sun W 74 - 73
2019-06-28 @ New York Liberty L 68 - 69
2019-06-30 vs Minnesota Lynx W 89 - 86
2019-07-05 vs Indiana Fever L 56 - 76
2019-07-07 @ Chicago Sky L 66 - 78
2019-07-09 vs Los Angeles Sparks W 74 - 62
2019-07-12 @ Seattle Storm L 81 - 95
2019-07-14 vs Chicago Sky L 79 - 89
2019-07-17 @ Phoenix Mercury L 64 - 69
2019-07-18 @ Los Angeles Sparks L 64 - 69
2019-07-20 vs Phoenix Mercury L 66 - 70
2019-07-30 @ Las Vegas Aces L 54 - 86
2019-08-01 vs New York Liberty W 87 - 64
2019-08-03 vs Las Vegas Aces L 70 - 75
2019-08-08 @ Seattle Storm L 57 - 69
2019-08-10 @ Phoenix Mercury W 80 - 77
2019-08-14 vs Los Angeles Sparks W 84 - 78
2019-08-16 vs New York Liberty W 83 - 77
2019-08-18 @ Connecticut Sun L 68 - 78
2019-08-22 @ Minnesota Lynx L 70 - 86
2019-08-25 vs Atlanta Dream L 73 - 77
2019-08-29 @ Chicago Sky W 88 - 83
2019-08-31 vs Washington Mystics L 85 - 91
2019-09-04 @ Connecticut Sun L 72 - 102
2019-09-06 @ Washington Mystics L 73 - 86
2019-09-08 vs Seattle Storm L 64 - 78

2019 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Arike Ogunbowale Arike Ogunbowale G 35 31.6 18.7 2.5 3.1 1.0 0.0 2.0 16.3 7.0 - - - - 38.6 35.3 82.1 - 50.0 43.9
Allisha Gray Allisha Gray G 37 29.8 10.3 4.3 2.2 1.2 0.4 1.5 7.4 9.5 - - - - 44.0 35.9 84.8 - 57.7 50.0
Kennedy Burke Kennedy Burke F 3 20.0 10.3 2.0 1.0 1.0 1.0 1.0 8.3 6.0 - - - - 44.0 16.7 100.0 - 54.3 46.0
Kayla Thornton Kayla Thornton F 30 30.1 9.9 5.0 1.7 0.9 0.4 1.6 10.4 5.9 - - - - 33.3 25.4 90.8 - 43.5 38.0
Isabelle Harrison Isabelle Harrison F 32 25.1 8.4 5.7 1.3 1.1 0.8 1.6 7.6 8.2 - - - - 45.5 0.0 71.6 - 49.4 45.5
G. Johnson G. Johnson F 31 23.6 7.2 5.0 1.3 1.3 0.6 1.1 7.5 6.9 - - - - 36.8 33.9 56.7 - 45.9 44.8
Kaela Davis Kaela Davis F 36 19.3 6.1 2.3 2.0 0.5 0.2 2.2 7.2 1.6 - - - - 32.8 28.3 87.2 - 40.0 36.1
T. Plaisance T. Plaisance F 25 16.1 5.8 4.1 1.4 0.3 0.7 1.2 5.4 5.6 - - - - 37.8 33.3 74.1 - 49.7 46.7
Azurá Stevens Azurá Stevens F 10 15.1 4.8 3.5 0.5 0.5 1.3 0.9 5.7 4.0 - - - - 36.8 20.0 80.0 - 40.5 38.6
I. McGee-Stafford I. McGee-Stafford F 30 11.9 3.9 3.8 0.7 0.6 0.6 1.2 3.7 4.7 - - - - 47.3 40.0 66.7 - 50.0 48.2
Kristine Anigwe Kristine Anigwe C 10 12.9 3.2 3.6 0.3 0.3 0.4 0.7 3.3 3.8 - - - - 33.3 0 66.7 - 40.4 33.3
Cayla George Cayla George F 2 11.5 3.0 3.5 1.5 1.0 0.5 1.5 4.5 3.5 - - - - 22.2 33.3 100.0 - 31.8 27.8
Megan Gustafson Megan Gustafson C 28 9.7 2.9 2.6 0.3 0.1 0.2 0.4 2.2 3.5 - - - - 46.0 11.1 84.6 - 54.4 46.8
B. McCarty-Williams B. McCarty-Williams - 37 13.5 2.7 1.4 1.8 0.5 0.1 0.8 2.9 2.8 - - - - 31.1 36.8 86.7 - 44.4 41.0
T. Hill T. Hill G 5 11.6 2.6 1.0 0.8 0.2 0.0 0.2 3.0 1.4 - - - - 26.7 14.3 80.0 - 37.8 30.0
K. Samuelson K. Samuelson G 4 12.0 1.5 0.5 0.5 0.8 0.2 0.0 1.8 1.8 - - - - 28.6 33.3 0 - 42.9 42.9
N. Seekamp N. Seekamp G 3 14.3 1.3 0.7 1.7 0.7 0.0 2.3 1.3 0.7 - - - - 50.0 0.0 0 - 50.0 50.0
Morgan Bertsch Morgan Bertsch F 2 9.0 1.0 1.0 0.5 0.0 0.0 1.5 2.5 -1.5 - - - - 20.0 0.0 0 - 20.0 20.0

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

2019 Shot Zones

2457 located field-goal attempts in 37 games (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Ogunbowale18% Ogunbowale21% Ogunbowale30% Ogunbowale38% Ogunbowale30% Ogunbowale43% Gray25% Ogunbowale33% Johnson27% Ogunbowale20%
Points: who the team's points here most likely come from
Ogunbowale16% Ogunbowale21% Ogunbowale31% Ogunbowale32% Ogunbowale31% Thornton31% Johnson100% Ogunbowale28% Ogunbowale26% Thornton25%
Misses: who misses most here

Arike OgunbowaleAllisha GrayKayla ThorntonG. Johnson

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 288-525 54.9 576 Arike Ogunbowale 18% (104 pts) Allisha Gray 17% (96 pts) Arike Ogunbowale 16% (39 misses) Kaela Davis 16% (39 misses)
Paint (non-RA) 225-608 37.0 450 Arike Ogunbowale 21% (94 pts) Allisha Gray 12% (56 pts) Arike Ogunbowale 21% (79 misses) Kaela Davis 14% (54 misses)
Mid-range left 96-278 34.5 192 Arike Ogunbowale 30% (58 pts) Isabelle Harrison 16% (30 pts) Arike Ogunbowale 31% (56 misses) G. Johnson 13% (24 misses)
Mid-range center 29-94 30.9 58 Arike Ogunbowale 38% (22 pts) Kaela Davis 17% (10 pts) Arike Ogunbowale 32% (21 misses) Isabelle Harrison 18% (12 misses)
Mid-range right 74-221 33.5 148 Arike Ogunbowale 30% (44 pts) Isabelle Harrison 26% (38 pts) Arike Ogunbowale 31% (45 misses) Kayla Thornton 17% (25 misses)
Left corner 3 7-20 35.0 21 Arike Ogunbowale 43% (9 pts) G. Johnson 29% (6 pts) Kayla Thornton 31% (4 misses) Arike Ogunbowale 23% (3 misses)
Right corner 3 4-5 80.0 12 Allisha Gray 25% (3 pts) Arike Ogunbowale 25% (3 pts) G. Johnson 100% (1 misses) -
Above-break 3 left 94-291 32.3 282 Arike Ogunbowale 33% (93 pts) G. Johnson 17% (48 pts) Arike Ogunbowale 28% (55 misses) G. Johnson 14% (27 misses)
Above-break 3 center 45-133 33.8 135 G. Johnson 27% (36 pts) T. Plaisance 20% (27 pts) Arike Ogunbowale 26% (23 misses) Allisha Gray 15% (13 misses)
Above-break 3 right 83-282 29.4 249 Arike Ogunbowale 20% (51 pts) Kayla Thornton 18% (45 pts) Kayla Thornton 25% (50 misses) Arike Ogunbowale 15% (30 misses)