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Houston Comets

Season: 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999
Also known as: Houston Comets
Program History

2004 Team Stats (30 games)

64.1
PPG
65.2
Opp
-1.1
Margin
41.3%
FG%
34.9%
3P%
73.6%
FT%
30.5
RPG
13.3
APG
13.9
TO
69.5
Est. poss./game
62.6
Adj PPG
62.9
Adj Opp PPG
#6
Scoring Rank

Model Outputs

2004
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 → 831 (#13) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 933 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +105 elo More → 902 (#13) HCA +105 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More → -0.3 (#6) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.6 More → -2.9 (#12) HCA +3.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.470 (#6) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -0.5 More → 0.487 (#6) AdjNet -0.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -0.4 More → 0.488 (#6) AdjNet -0.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.6 | AdjD 62.9 More → 0.494 (#6) AdjO 62.6 | AdjD 62.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.1 | AdjD 65.8 More → 0.440 (#12) AdjO 63.1 | AdjD 65.8
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 → 0.406 (#12) 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 → 0.396 (#12) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 143 | GP 33 More → 824 (#13) RD 143 | GP 33

2004 Schedule & Results

Date Vs/At Opponent Result Score
2004-05-20 vs Las Vegas Aces L 55 - 64
2004-05-21 @ Charlotte - Incomplete score
2004-05-30 vs Sacramento Monarchs W 63 - 57
2004-06-01 @ Phoenix Mercury L 63 - 73
2004-06-03 vs New York Liberty L 62 - 71
2004-06-05 vs Los Angeles Sparks W 75 - 71
2004-06-09 vs Las Vegas Aces W 59 - 47
2004-06-12 @ Las Vegas Aces W 69 - 66
2004-06-18 vs Seattle Storm L 63 - 69
2004-06-19 @ Minnesota Lynx L 58 - 66
2004-06-22 @ Seattle Storm W 63 - 57
2004-06-25 @ Sacramento Monarchs L 55 - 61
2004-06-27 vs Washington Mystics W 72 - 67
2004-06-30 @ Minnesota Lynx L 50 - 58
2004-07-03 vs Charlotte L 55 - 62
2004-07-06 @ Dallas Wings L 63 - 82
2004-07-10 vs Los Angeles Sparks L 56 - 59
2004-07-14 @ Indiana Fever L 62 - 70
2004-07-15 vs Dallas Wings W 97 - 61
2004-07-17 vs Connecticut Sun W 72 - 56
2004-07-23 @ Los Angeles Sparks L 67 - 70
2004-07-24 @ Seattle Storm L 63 - 67
2004-07-27 vs Seattle Storm W 80 - 55
2004-07-31 vs Indiana Fever W 62 - 54
2004-09-01 vs Minnesota Lynx L 64 - 72
2004-09-03 vs Phoenix Mercury L 60 - 70
2004-09-09 @ Las Vegas Aces L 72 - 77
2004-09-12 @ Washington Mystics L 63 - 75
2004-09-14 vs Minnesota Lynx W 70 - 59
2004-09-16 vs Sacramento Monarchs L 62 - 71
2004-09-18 @ Sacramento Monarchs L 48 - 68
2004-09-19 @ Phoenix Mercury - Incomplete score

2004 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%
Tina Thompson F 22 36.3 19.6 6.0 1.7 0.9 0.9 2.6 17.5 9.0 -1 26 0.0 -0.1 39.2 41.1 78.4 0.45 49.5 44.3
Sheryl Swoopes F 28 34.3 14.2 5.0 3.0 1.4 0.5 1.9 13.4 8.9 27 31 0.9 1.3 42.5 28.1 84.2 0.25 48.8 44.7
Michelle Snow C 29 29.1 9.0 7.8 1.0 0.9 1.2 2.3 7.5 10.2 46 31 1.5 2.6 46.1 0 58.7 0.61 49.7 46.1
Kedra Holland-Corn G 24 25.7 7.1 2.3 1.7 1.4 0.1 1.7 6.0 4.9 62 27 2.3 4.0 39.3 34.8 70.3 1.22 53.0 50.0
Sheila Lambert G 30 25.2 6.4 2.2 2.9 0.9 0.1 2.6 5.7 4.1 55 34 1.6 3.3 41.9 25.9 78.4 0.47 49.1 43.9
Dominique Canty G 28 24.4 5.7 2.6 2.0 1.0 0.0 1.4 4.8 5.2 41 32 1.3 2.2 43.3 0.0 72.1 0.13 49.7 43.3
Tiffani Johnson F 29 19.1 3.9 3.6 0.8 0.2 0.5 0.9 3.4 4.8 69 33 2.1 4.1 48.0 0 71.4 0.76 51.7 48.0
Felicia Ragland G 30 13.4 3.3 1.6 1.0 0.6 0.1 0.9 3.3 2.4 42 34 1.2 3.3 37.0 40.5 81.8 1.08 47.7 45.5
Octavia Blue G 11 11.8 2.8 1.7 0.3 0.1 0.0 0.5 3.1 1.3 20 13 1.5 5.3 32.4 0.0 90.0 0.14 40.4 32.4
Lucienne Berthieu - 13 9.0 2.7 1.8 0.3 0.5 0.1 0.6 2.4 2.3 12 16 0.8 3.3 35.5 0 72.2 -0.13 45.0 35.5
Pollyanna Johns Kimbrough - 17 7.6 1.3 1.4 0.1 0.2 0.2 0.4 0.8 1.9 12 19 0.6 2.2 21.4 0 76.2 0.0 47.3 21.4
LaTonya Johnson - 5 6.0 1.2 0.0 0.2 0.4 0.0 0.4 1.2 0.2 - - - - 33.3 33.3 0.0 - 43.6 50.0
Gordana Grubin - 5 4.9 0.4 0.2 0.0 0.0 0.0 0.6 0.6 -0.6 0 5 0.0 0.0 0.0 0 100.0 0.27 25.8 0.0

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

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

2004 Shot Zones

1919 located field-goal attempts in 34 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).

Swoopes20% Snow30% Swoopes34% Lambert22% Swoopes33% Holland-Corn43% Ragland75% Thompson38% Thompson58% Holland-Corn33%
Points: who the team's points here most likely come from
Canty16% Thompson25% Swoopes35% Swoopes37% Swoopes27% Holland-Corn50% Holland-Corn43% Thompson36% Holland-Corn34% Swoopes28%
Misses: who misses most here

Tina ThompsonSheryl SwoopesMichelle SnowSheila LambertKedra Holland-CornDominique CantyFelicia Ragland

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 291-545 53.4 582 Sheryl Swoopes 20% (116 pts) Tina Thompson 17% (98 pts) Dominique Canty 16% (41 misses) Tina Thompson 16% (41 misses)
Paint (non-RA) 160-413 38.7 320 Michelle Snow 30% (96 pts) Sheryl Swoopes 20% (64 pts) Tina Thompson 25% (64 misses) Sheryl Swoopes 22% (56 misses)
Mid-range left 110-303 36.3 220 Sheryl Swoopes 34% (74 pts) Tina Thompson 23% (50 pts) Sheryl Swoopes 35% (67 misses) Tina Thompson 26% (51 misses)
Mid-range center 18-53 34.0 36 Sheila Lambert 22% (8 pts) Michelle Snow 17% (6 pts) Sheryl Swoopes 37% (13 misses) Michelle Snow 14% (5 misses)
Mid-range right 93-252 36.9 186 Sheryl Swoopes 33% (62 pts) Tina Thompson 30% (56 pts) Sheryl Swoopes 27% (43 misses) Tina Thompson 26% (42 misses)
Left corner 3 7-25 28.0 21 Kedra Holland-Corn 43% (9 pts) Felicia Ragland 14% (3 pts) Kedra Holland-Corn 50% (9 misses) Tina Thompson 22% (4 misses)
Right corner 3 8-15 53.3 24 Felicia Ragland 75% (18 pts) Sheila Lambert 12% (3 pts) Kedra Holland-Corn 43% (3 misses) Sheila Lambert 43% (3 misses)
Above-break 3 left 48-145 33.1 144 Tina Thompson 38% (54 pts) Kedra Holland-Corn 29% (42 pts) Tina Thompson 36% (35 misses) Kedra Holland-Corn 23% (22 misses)
Above-break 3 center 24-68 35.3 72 Tina Thompson 58% (42 pts) Sheryl Swoopes 21% (15 pts) Kedra Holland-Corn 34% (15 misses) Tina Thompson 32% (14 misses)
Above-break 3 right 33-100 33.0 99 Kedra Holland-Corn 33% (33 pts) Tina Thompson 33% (33 pts) Sheryl Swoopes 28% (19 misses) Kedra Holland-Corn 24% (16 misses)