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Seattle Storm

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

2012 Team Stats (37 games)

70.1
PPG
-
Opp
-
Margin
43.1%
FG%
35.0%
3P%
74.3%
FT%
31.1
RPG
16.7
APG
14.1
TO
-
Est. poss./game
68.8
Adj PPG
68.7
Adj Opp PPG
#7
Scoring Rank

Model Outputs

2012
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 → 1022 (#7) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 989 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +80 elo More → 994 (#6) HCA +80 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More → +0.1 (#7) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.5 More → +1.3 (#7) HCA +3.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.483 (#8) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.5 More → 0.486 (#8) AdjNet -0.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.5 More → 0.486 (#8) AdjNet -0.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.8 | AdjD 68.7 More → 0.503 (#7) AdjO 68.8 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.6 | AdjD 69.5 More → 0.526 (#7) AdjO 70.6 | AdjD 69.5
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 → 0.507 (#7) 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 → 0.512 (#7) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 117 | GP 37 More → 995 (#7) RD 117 | GP 37

2012 Schedule & Results

Date Vs/At Opponent Result Score
2012-05-18 vs Los Angeles Sparks L 66 - 72
2012-05-22 @ Los Angeles Sparks L 61 - 74
2012-05-27 @ Minnesota Lynx L 71 - 84
2012-06-01 vs Tulsa Shock W 76 - 58
2012-06-03 @ Los Angeles Sparks L 65 - 67
2012-06-06 @ Minnesota Lynx L 55 - 79
2012-06-09 @ San Antonio Silver Stars L 67 - 80
2012-06-13 @ Chicago Sky L 58 - 74
2012-06-15 @ Tulsa Shock W 86 - 73
2012-06-17 vs Minnesota Lynx W 65 - 62
2012-06-22 vs San Antonio Silver Stars W 82 - 76
2012-06-24 vs Washington Mystics W 72 - 55
2012-06-26 @ Washington Mystics W 79 - 71
2012-06-30 @ New York Liberty L 59 - 77
2012-07-01 @ Connecticut Sun W 89 - 83
2012-07-07 @ Los Angeles Sparks L 59 - 83
2012-07-08 vs Phoenix Mercury W 83 - 68
2012-07-11 vs Atlanta Dream L 59 - 70
2012-07-13 @ Phoenix Mercury W 83 - 64
2012-08-16 vs Phoenix Mercury W 72 - 58
2012-08-18 vs Los Angeles Sparks L 71 - 82
2012-08-21 vs Minnesota Lynx L 73 - 86
2012-08-23 vs Indiana Fever L 66 - 68
2012-08-26 vs New York Liberty W 84 - 66
2012-08-30 vs Phoenix Mercury L 68 - 75
2012-09-06 vs Tulsa Shock W 101 - 74
2012-09-08 @ Tulsa Shock W 89 - 66
2012-09-11 @ Atlanta Dream L 61 - 77
2012-09-12 @ Indiana Fever L 48 - 72
2012-09-14 @ San Antonio Silver Stars L 66 - 90
2012-09-16 vs Connecticut Sun L 58 - 60
2012-09-18 vs Chicago Sky W 75 - 60
2012-09-21 vs San Antonio Silver Stars W 84 - 75
2012-09-23 @ Phoenix Mercury W 71 - 57
2012-09-28 @ Minnesota Lynx L 70 - 78
2012-09-30 vs Minnesota Lynx W 86 - 79
2012-10-02 @ Minnesota Lynx L 72 - 73

2012 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%
E. Brand E. Brand - 32 31.5 12.6 2.8 5.5 1.0 0.2 2.3 10.3 9.3 - - - - 45.6 39.6 78.8 - 57.1 54.8
C. Little C. Little F 38 27.6 11.3 5.0 1.8 0.8 0.6 2.7 8.1 8.7 - - - - 47.6 33.3 72.8 - 56.0 49.3
L. Jackson L. Jackson F 12 21.3 10.2 6.1 0.2 0.4 0.9 1.1 9.7 7.1 - - - - 37.9 22.5 71.4 - 46.4 41.8
A. Wauters A. Wauters C 27 21.8 8.9 5.5 1.4 0.6 0.7 1.9 7.0 8.2 - - - - 50.0 42.9 72.1 - 56.1 52.4
T. Thompson T. Thompson F 33 18.7 8.8 3.9 0.4 0.5 0.7 1.4 7.2 5.7 - - - - 43.9 43.9 82.2 - 56.9 53.8
Seamus Boxley Seamus Boxley - 34 30.2 8.2 3.1 4.5 1.2 0.1 2.4 7.5 7.3 - - - - 37.8 21.1 86.2 - 47.7 40.2
S. Stricklen S. Stricklen F 37 22.6 8.0 4.3 1.1 0.8 0.2 1.0 7.3 6.2 - - - - 40.4 31.2 68.4 - 50.2 47.6
K. Smith K. Smith G 38 27.3 6.8 2.5 2.1 0.5 0.1 1.4 5.6 5.0 - - - - 41.7 40.0 81.4 - 56.3 53.1
Allie Quigley Allie Quigley G 2 26.5 6.0 2.5 2.5 1.0 0.5 5.0 7.5 0.0 - - - - 26.7 25.0 75.0 - 35.8 30.0
A. Corral A. Corral G 2 17.5 5.5 1.5 1.0 0.5 0.0 2.0 6.0 0.5 - - - - 41.7 20.0 0 - 45.8 45.8
E. Kobryn E. Kobryn C 33 13.6 4.8 2.4 0.4 0.5 0.4 1.3 4.1 3.2 - - - - 41.2 37.0 72.0 - 50.0 44.9
V. Dunlap V. Dunlap F 7 11.4 4.6 2.7 0.6 1.0 0.0 1.3 3.4 4.1 - - - - 45.8 0.0 71.4 - 53.1 45.8
S. Abrosimova S. Abrosimova F 20 15.7 4.3 2.8 1.6 0.9 0.1 1.9 4.7 3.1 - - - - 36.2 23.5 45.8 - 41.6 40.4
Alysha Clark Alysha Clark F 24 11.0 3.4 2.1 0.4 0.3 0.1 1.0 2.4 2.8 - - - - 50.9 42.9 73.7 - 62.0 58.8
L. Taylor L. Taylor C 2 11.0 3.0 4.0 0.0 1.0 1.5 2.0 1.5 6.0 - - - - 66.7 0 100.0 - 77.3 66.7
A. Gayle A. Gayle NA 2 6.5 1.0 0.5 0.0 0.0 0.5 2.5 1.0 -1.5 - - - - 50.0 0 0 - 50.0 50.0

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