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Seattle Storm

Also known as: Seattle Storm
Program History

2013 Team Stats (36 games)

70.3
PPG
-
Opp
-
Margin
42.2%
FG%
32.9%
3P%
81.3%
FT%
30.1
RPG
13.7
APG
14.4
TO
73.9
Est. poss./game
68.4
Adj PPG
70.1
Adj Opp PPG
#9
Scoring Rank

Model Outputs

2013
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 โ†’ 1033 (#6) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 996 (#6) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +48 elo More โ†’ 1014 (#5) HCA +48 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More โ†’ -1.7 (#9) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +0.8 (#5) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.390 (#9) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.3 More โ†’ 0.433 (#9) AdjNet -2.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.4 More โ†’ 0.432 (#9) AdjNet -2.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.4 | AdjD 70.1 More โ†’ 0.461 (#9) AdjO 68.4 | AdjD 70.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.2 | AdjD 68.8 More โ†’ 0.511 (#5) AdjO 69.2 | AdjD 68.8
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 โ†’ 0.492 (#6) 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 โ†’ 0.502 (#5) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 36 More โ†’ 1016 (#5) RD 107 | GP 36

2013 Schedule & Results

Date Vs/At Opponent Result Score
2013-05-26 @ Los Angeles Sparks L 69 - 102
2013-06-02 vs Phoenix Mercury W 75 - 72
2013-06-07 vs Tulsa Shock L 58 - 67
2013-06-14 @ Atlanta Dream L 59 - 68
2013-06-16 @ Connecticut Sun W 78 - 66
2013-06-18 vs Washington Mystics W 96 - 86
2013-06-21 @ San Antonio Silver Stars W 91 - 86
2013-06-22 @ Tulsa Shock L 70 - 92
2013-06-28 vs New York Liberty L 62 - 67
2013-06-30 @ Indiana Fever L 63 - 71
2013-07-02 @ Chicago Sky W 69 - 60
2013-07-06 @ Washington Mystics L 59 - 62
2013-07-09 @ New York Liberty L 57 - 66
2013-07-14 vs Atlanta Dream W 73 - 65
2013-07-17 vs Tulsa Shock L 59 - 86
2013-07-20 vs Los Angeles Sparks L 64 - 65
2013-07-25 @ Los Angeles Sparks W 73 - 66
2013-08-01 vs Phoenix Mercury W 88 - 79
2013-08-04 @ Minnesota Lynx L 72 - 90
2013-08-06 @ Phoenix Mercury W 80 - 65
2013-08-09 vs San Antonio Silver Stars L 56 - 77
2013-08-11 vs San Antonio Silver Stars W 69 - 63
2013-08-15 vs Chicago Sky L 66 - 79
2013-08-17 vs Indiana Fever W 77 - 70
2013-08-20 vs Los Angeles Sparks W 77 - 57
2013-08-23 @ Phoenix Mercury W 81 - 73
2013-08-25 @ San Antonio Silver Stars L 64 - 70
2013-08-27 @ San Antonio Silver Stars W 72 - 71
2013-08-29 vs Connecticut Sun W 78 - 65
2013-08-31 @ Minnesota Lynx L 74 - 97
2013-09-07 vs Minnesota Lynx L 60 - 75
2013-09-10 vs Minnesota Lynx L 60 - 73
2013-09-12 @ Tulsa Shock W 76 - 67
2013-09-14 vs Tulsa Shock W 85 - 73
2013-09-20 @ Minnesota Lynx L 64 - 80
2013-09-22 vs Minnesota Lynx L 55 - 58

2013 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
T. Thompson T. Thompson F 38 28.3 13.9 5.8 1.0 0.6 0.6 1.5 10.9 9.5 - - - - 41.6 37.1 87.4 - 55.6 49.4
Seamus Boxley Seamus Boxley - 37 30.7 11.8 3.6 3.9 1.2 0.2 2.9 9.8 8.0 - - - - 44.2 28.0 84.9 - 52.5 46.2
C. Little C. Little F 38 29.9 10.8 4.6 1.4 1.2 0.3 2.3 8.1 7.9 - - - - 43.5 28.8 80.9 - 54.4 45.9
T. Johnson T. Johnson G 36 26.7 9.9 2.5 3.9 0.9 0.1 2.6 8.0 6.6 - - - - 43.1 39.0 85.7 - 53.6 47.0
S. Stricklen S. Stricklen F 38 23.2 9.4 3.0 0.9 0.7 0.5 1.1 9.1 4.3 - - - - 39.7 33.1 60.9 - 48.9 47.7
N. Quinn N. Quinn G 38 25.7 5.4 4.9 1.7 0.9 0.3 1.3 5.8 6.0 - - - - 35.0 22.6 83.7 - 42.7 38.2
Alysha Clark Alysha Clark F 36 15.7 4.2 2.7 0.4 0.4 0.2 1.0 3.4 3.5 - - - - 45.9 39.6 77.8 - 56.8 53.7
J. James J. James G 1 14.0 4.0 0.0 2.0 2.0 0.0 4.0 2.0 2.0 - - - - 50.0 0 50.0 - 53.2 50.0
Tianna Hawkins Tianna Hawkins F 36 10.1 3.5 1.7 0.2 0.4 0.1 0.8 3.0 2.1 - - - - 48.6 23.8 83.3 - 53.9 50.9
K. Redmon K. Redmon G 1 11.0 2.0 3.0 1.0 0.0 0.0 0.0 2.0 4.0 - - - - 50.0 0 0 - 50.0 50.0
K. Hampton K. Hampton F 2 10.5 2.0 0.5 1.0 0.0 0.0 0.5 3.0 0.0 - - - - 16.7 0.0 100.0 - 29.1 16.7
C. Poppens C. Poppens F 2 10.0 2.0 2.5 0.0 0.5 0.0 2.5 3.0 -0.5 - - - - 33.3 0 0 - 33.3 33.3
S. MacKay S. MacKay G 2 7.0 2.0 1.0 1.0 0.0 0.0 0.5 2.5 1.0 - - - - 40.0 0.0 0 - 40.0 40.0
N. Sanford N. Sanford F 17 10.2 1.8 2.1 0.5 0.1 0.3 0.8 1.9 2.0 - - - - 27.3 0 60.0 - 35.9 27.3
A. Robinson A. Robinson C 23 9.4 1.4 1.3 0.3 0.0 0.4 1.1 1.3 1.1 - - - - 44.8 0 60.0 - 47.9 44.8
C. Bravard C. Bravard F 8 5.4 0.9 0.6 0.0 0.1 0.2 0.5 0.6 0.8 - - - - 60.0 50.0 0 - 70.0 70.0
J. Hassell J. Hassell F 4 2.0 0.5 0.0 0.2 0.0 0.0 0.0 0.5 0.2 - - - - 50.0 0 0 - 50.0 50.0
J. Tinkle J. Tinkle F 7 1.9 0.0 0.4 0.0 0.0 0.0 0.0 0.6 -0.1 - - - - 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

2013 Shot Zones

2260 located field-goal attempts in 38 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).

Little21% Thompson19% Boxley24% Boxley50% Boxley23% Quinn25% Clark33% Thompson36% Thompson47% Stricklen28%
Points: who the team's points here most likely come from
Little24% Little20% Thompson22% Boxley37% Boxley24% Clark29% Quinn35% Stricklen37% Thompson43% Stricklen24%
Misses: who misses most here

T. ThompsonSeamus BoxleyS. StricklenC. LittleN. QuinnAlysha Clark

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 376-638 58.9 752 C. Little 21% (158 pts) Seamus Boxley 20% (154 pts) C. Little 24% (63 misses) Seamus Boxley 22% (57 misses)
Paint (non-RA) 174-463 37.6 348 T. Thompson 19% (66 pts) T. Johnson 18% (64 pts) C. Little 20% (57 misses) T. Johnson 19% (54 misses)
Mid-range left 79-226 35.0 158 Seamus Boxley 24% (38 pts) T. Thompson 24% (38 pts) T. Thompson 22% (32 misses) Seamus Boxley 18% (26 misses)
Mid-range center 30-84 35.7 60 Seamus Boxley 50% (30 pts) T. Johnson 20% (12 pts) Seamus Boxley 37% (20 misses) T. Johnson 17% (9 misses)
Mid-range right 83-219 37.9 166 Seamus Boxley 23% (38 pts) T. Thompson 19% (32 pts) Seamus Boxley 24% (32 misses) N. Quinn 18% (25 misses)
Left corner 3 12-40 30.0 36 N. Quinn 25% (9 pts) S. Stricklen 25% (9 pts) Alysha Clark 29% (8 misses) N. Quinn 29% (8 misses)
Right corner 3 3-20 15.0 9 Alysha Clark 33% (3 pts) S. Stricklen 33% (3 pts) N. Quinn 35% (6 misses) Alysha Clark 24% (4 misses)
Above-break 3 left 83-252 32.9 249 T. Thompson 36% (90 pts) S. Stricklen 28% (69 pts) S. Stricklen 37% (63 misses) T. Thompson 27% (46 misses)
Above-break 3 center 34-104 32.7 102 T. Thompson 47% (48 pts) C. Little 12% (12 pts) T. Thompson 43% (30 misses) C. Little 14% (10 misses)
Above-break 3 right 75-214 35.0 225 S. Stricklen 28% (63 pts) T. Thompson 25% (57 pts) S. Stricklen 24% (34 misses) T. Thompson 24% (34 misses)