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Seattle Storm

Also known as: Seattle Storm
Program History

2000 Team Stats (22 games)

56.8
PPG
69.5
Opp
-12.8
Margin
38.0%
FG%
31.5%
3P%
68.2%
FT%
24.7
RPG
12.4
APG
-
TO
-
Est. poss./game
55.4
Adj PPG
64.3
Adj Opp PPG
#16
Scoring Rank

Model Outputs

2000
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†’ 828 (#14) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 783 (#16) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +110 elo More โ†’ 839 (#16) HCA +110 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.7 More โ†’ -9.1 (#16) HCA +3.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +4.5 More โ†’ -9.6 (#16) HCA +4.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.118 (#16) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.4 More โ†’ 0.159 (#16) AdjNet -14.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -14.5 More โ†’ 0.157 (#16) AdjNet -14.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 55.4 | AdjD 64.3 More โ†’ 0.308 (#16) AdjO 55.4 | AdjD 64.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.6 | AdjD 64.6 More โ†’ 0.307 (#16) AdjO 55.6 | AdjD 64.6
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†’ 0.240 (#16) 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†’ 0.240 (#16) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 32 More โ†’ 796 (#14) RD 109 | GP 32

2000 Schedule & Results

Date Vs/At Opponent Result Score
2000-05-31 @ Sacramento Monarchs L 60 - 76
2000-06-07 @ Phoenix Mercury L 49 - 82
2000-06-09 @ Charlotte W 67 - 62
2000-06-10 @ Cleveland Rockers L 49 - 61
2000-06-18 vs Las Vegas Aces L 53 - 56
2000-06-20 @ Las Vegas Aces L 63 - 66
2000-06-23 @ Portland Fire L 61 - 72
2000-06-28 vs Dallas Wings - Incomplete score
2000-06-30 vs Minnesota Lynx L 53 - 65
2000-07-01 vs Las Vegas Aces L 60 - 81
2000-07-06 @ Houston Comets L 50 - 80
2000-07-08 @ Connecticut Sun L 53 - 64
2000-07-10 @ Miami Sol - Incomplete score
2000-07-12 @ Dallas Wings - Incomplete score
2000-07-14 @ Indiana Fever L 45 - 64
2000-07-19 vs New York Liberty L 55 - 78
2000-07-21 vs Minnesota Lynx W 67 - 61
2000-07-25 @ Houston Comets L 53 - 79
2000-07-27 @ Los Angeles Sparks L 63 - 76
2000-07-28 vs Phoenix Mercury L 55 - 65
2000-07-30 vs Miami Sol - Incomplete score
2000-08-01 vs Indiana Fever W 66 - 60
2000-08-03 @ Phoenix Mercury L 63 - 85
2000-08-06 vs Portland Fire W 66 - 58
2000-08-08 vs Los Angeles Sparks L 52 - 60
2000-08-09 @ Sacramento Monarchs L 46 - 79

2000 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

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%
Edna Campbell G 12 30.5 12.8 2.0 2.8 1.0 0.2 - 12.5 - 147 16 9.2 13.3 40.7 28.6 73.3 0.98 47.2 44.0
Kamila Vodichkova F 16 21.5 9.1 3.9 1.1 0.7 0.6 - 7.9 - 210 23 9.1 20.2 36.5 20.0 78.1 1.85 47.0 37.7
Simone Edwards C 20 22.1 7.6 3.7 0.7 0.8 0.1 - 6.8 - 224 29 7.7 13.0 44.5 0 56.6 1.22 47.4 44.5
Robin Threatt-Elliott G 12 17.7 7.2 1.4 0.8 0.3 0.1 - 6.9 - 145 20 7.2 15.0 38.6 41.2 68.2 0.87 46.4 42.8
Quacy Barnes F 21 22.3 6.3 3.0 1.2 0.5 1.0 - 6.6 - 287 31 9.3 17.3 41.0 20.0 54.8 1.72 43.2 41.4
Sonja Henning G 22 30.8 6.0 2.6 2.3 2.0 0.1 - 4.8 - 312 32 9.8 15.0 39.0 41.7 68.2 1.45 53.1 48.6
Michelle Edwards F 15 21.3 5.6 1.9 1.7 0.9 0.3 - 6.5 - 120 23 5.2 9.7 33.0 14.3 65.4 -0.36 38.7 34.5
Jamie Redd G 18 14.9 5.2 1.9 0.8 0.8 0.0 - 4.8 - 179 26 6.9 16.1 38.4 30.3 70.8 1.61 48.2 44.2
Stacey Lovelace - 15 14.2 4.5 2.6 0.7 0.6 0.1 - 4.9 - 126 23 5.5 12.1 32.4 25.0 81.0 0.99 40.2 33.8
Charisse Sampson F 14 14.6 4.1 2.1 0.5 0.9 0.3 - 2.6 - 89 21 4.2 12.4 43.2 36.8 100.0 1.09 63.4 52.7
Andrea Garner F 22 18.1 3.0 2.7 0.6 0.9 0.2 - 3.7 - 201 32 6.3 15.0 31.7 0 51.9 0.31 35.2 31.7
Katrina Hibbert G 15 11.0 2.7 1.4 0.8 0.4 0.1 - 2.8 - 145 20 7.2 22.4 33.3 28.0 83.3 1.31 44.8 41.7
Charmin Smith F 22 16.5 1.9 1.4 1.9 0.6 0.1 - 1.9 - 129 32 4.0 8.9 34.1 38.5 37.5 0.46 46.0 46.3
Angela Aycock - 1 6.8 0.0 2.0 0.0 0.0 0.0 - 3.0 - - - - - 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