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Seattle Storm

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

2001 Team Stats (27 games)

60.4
PPG
64.0
Opp
-3.6
Margin
37.5%
FG%
31.3%
3P%
68.8%
FT%
28.4
RPG
13.0
APG
-
TO
-
Est. poss./game
57.9
Adj PPG
60.2
Adj Opp PPG
#11
Scoring Rank

Model Outputs

2001
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 → 859 (#14) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 918 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +76 elo More → 882 (#15) HCA +76 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -2.3 (#11) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.1 More → -3.5 (#13) HCA +3.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.352 (#13) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.0 More → 0.387 (#12) AdjNet -4.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.0 More → 0.387 (#12) AdjNet -4.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.9 | AdjD 60.2 More → 0.448 (#11) AdjO 57.9 | AdjD 60.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.0 | AdjD 61.3 More → 0.425 (#13) AdjO 58.0 | AdjD 61.3
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 → 0.372 (#13) 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 → 0.368 (#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 107 | GP 31 More → 903 (#12) RD 107 | GP 31

2001 Schedule & Results

Date Vs/At Opponent Result Score
2001-05-31 vs Phoenix Mercury W 83 - 70
2001-06-03 @ Washington Mystics L 63 - 68
2001-06-04 @ Indiana Fever W 74 - 71
2001-06-07 vs Miami Sol - Incomplete score
2001-06-09 @ Las Vegas Aces W 73 - 65
2001-06-12 vs Connecticut Sun W 70 - 63
2001-06-14 vs Cleveland Rockers L 36 - 58
2001-06-16 vs Los Angeles Sparks L 60 - 73
2001-06-18 vs Charlotte - Incomplete score
2001-06-19 @ Portland Fire L 43 - 58
2001-06-22 @ Phoenix Mercury W 58 - 55
2001-06-25 @ Las Vegas Aces W 65 - 47
2001-06-28 @ Minnesota Lynx L 59 - 68
2001-06-30 vs Sacramento Monarchs L 59 - 65
2001-07-03 vs Washington Mystics L 69 - 72
2001-07-04 @ Portland Fire W 61 - 56
2001-07-07 @ Charlotte - Incomplete score
2001-07-10 @ Cleveland Rockers L 53 - 59
2001-07-11 @ New York Liberty L 53 - 67
2001-07-13 vs Houston Comets L 55 - 58
2001-07-18 @ Minnesota Lynx L 58 - 68
2001-07-20 vs Portland Fire L 49 - 56
2001-07-21 @ Los Angeles Sparks L 79 - 85
2001-07-24 vs Dallas Wings - Incomplete score
2001-07-27 vs Phoenix Mercury L 54 - 56
2001-07-30 @ Houston Comets L 51 - 55
2001-08-03 vs Las Vegas Aces L 61 - 64
2001-08-04 @ Los Angeles Sparks L 60 - 79
2001-08-08 vs Houston Comets W 72 - 55
2001-08-10 vs Minnesota Lynx L 51 - 65
2001-08-11 @ Sacramento Monarchs - Incomplete score
2001-08-14 vs Sacramento Monarchs L 62 - 72

2001 Roster

Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.

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%
Lauren Jackson F 25 34.2 15.0 6.7 1.4 2.0 2.4 - 13.9 - 56 29 1.9 2.8 36.5 30.6 72.7 -0.09 46.9 41.4
Semeka Randall G 27 28.9 10.6 3.5 1.4 1.0 0.1 - 10.7 - 111 32 3.5 6.1 38.6 0.0 64.9 1.05 43.0 38.6
Simone Edwards F 27 25.7 7.6 5.1 0.8 0.8 0.6 - 6.0 - 140 32 4.4 8.2 46.6 0 70.3 1.27 52.2 46.6
Jamie Redd G 27 19.4 6.0 2.5 1.6 0.5 0.1 - 6.4 - 104 32 3.2 6.1 33.7 25.0 69.8 0.6 42.2 38.1
Kamila Vodichkova F 25 14.4 5.4 2.6 0.8 0.6 0.2 - 4.5 - 63 29 2.2 5.7 40.7 37.5 85.4 0.38 51.9 44.7
Michelle Marciniak G 23 14.3 4.9 1.4 1.7 1.1 0.1 - 5.0 - 88 27 3.3 8.2 38.6 34.5 55.6 0.77 44.9 43.0
Stacey Lovelace F 18 9.5 3.8 1.6 0.5 0.4 0.3 - 3.3 - 37 22 1.7 6.1 44.1 47.6 58.3 0.35 53.7 52.5
Katy Steding F 22 14.2 3.8 1.5 0.9 0.5 0.3 - 3.6 - 115 26 4.4 15.4 35.4 46.7 81.2 2.18 48.2 44.3
Sonja Henning G 27 28.2 3.4 2.2 2.9 1.7 0.1 - 4.1 - 43 32 1.3 2.3 30.0 21.1 51.5 -0.19 36.5 33.6
Quacy Barnes F 16 10.7 2.8 1.2 0.6 0.4 0.2 - 2.7 - 75 20 3.8 12.3 37.2 0 72.2 0.72 44.2 37.2
Michelle Edwards - 2 5.4 2.0 0.5 2.0 0.5 0.0 - 1.5 - - - - - 33.3 0 100.0 - 51.5 33.3
Charmin Smith G 27 18.9 2.0 1.8 1.3 0.5 0.0 - 2.1 - 102 32 3.2 6.5 28.6 28.6 61.9 0.29 42.2 37.5
Alessandra Santos de Olive C 8 5.9 1.1 1.5 0.0 0.0 0.0 - 1.5 - 22 10 2.2 9.4 25.0 0 60.0 0.43 31.7 25.0

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