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Indiana Fever

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

2000 Team Stats (27 games)

69.7
PPG
70.6
Opp
-0.8
Margin
43.1%
FG%
37.2%
3P%
76.0%
FT%
29.3
RPG
16.2
APG
-
TO
-
Est. poss./game
67.4
Adj PPG
70.9
Adj Opp PPG
#12
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 → 790 (#15) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 812 (#14) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +110 elo More → 859 (#15) HCA +110 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.7 More → -3.7 (#12) HCA +3.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +4.5 More → -3.2 (#11) HCA +4.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.403 (#11) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.1 More → 0.385 (#11) AdjNet -4.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.1 More → 0.385 (#11) AdjNet -4.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 | AdjD 70.9 More → 0.421 (#12) AdjO 67.4 | AdjD 70.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 69.3 More → 0.437 (#11) AdjO 66.5 | AdjD 69.3
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 → 0.344 (#14) 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 → 0.347 (#14) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 32 More → 795 (#15) RD 102 | GP 32

2000 Schedule & Results

Date Vs/At Opponent Result Score
2000-06-01 @ Miami Sol W 57 - 54
2000-06-03 vs Connecticut Sun L 82 - 88
2000-06-05 vs Miami Sol W 80 - 59
2000-06-09 @ Dallas Wings - Incomplete score
2000-06-10 vs New York Liberty L 62 - 70
2000-06-12 vs Cleveland Rockers L 70 - 83
2000-06-17 @ Connecticut Sun W 79 - 54
2000-06-18 @ Dallas Wings - Incomplete score
2000-06-21 vs Sacramento Monarchs L 58 - 70
2000-06-23 vs New York Liberty L 60 - 69
2000-06-24 @ Houston Comets L 67 - 93
2000-06-28 vs Los Angeles Sparks L 73 - 82
2000-06-30 @ New York Liberty L 70 - 72
2000-07-01 vs Miami Sol - Incomplete score
2000-07-03 vs Portland Fire L 64 - 68
2000-07-06 @ Connecticut Sun L 60 - 72
2000-07-08 vs Phoenix Mercury - Incomplete score
2000-07-12 @ Washington Mystics W 81 - 58
2000-07-14 vs Seattle Storm W 64 - 45
2000-07-15 @ Cleveland Rockers L 55 - 79
2000-07-20 @ Washington Mystics L 74 - 85
2000-07-22 vs Charlotte W 80 - 59
2000-07-24 @ Charlotte L 78 - 82
2000-07-26 @ Phoenix Mercury L 65 - 79
2000-07-28 @ Portland Fire W 73 - 58
2000-07-29 @ Las Vegas Aces L 71 - 79
2000-08-01 @ Seattle Storm L 60 - 66
2000-08-03 vs Washington Mystics L 71 - 75
2000-08-04 vs Cleveland Rockers W 87 - 75
2000-08-06 @ Minnesota Lynx L 75 - 80
2000-08-07 vs Dallas Wings - Incomplete score
2000-08-09 vs Charlotte W 67 - 51

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

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%
Kara Wolters C 27 25.6 12.0 5.1 1.2 0.4 1.6 - 8.6 - 74 31 2.4 5.0 55.8 0 74.4 0.65 60.1 55.8
Rita Williams G 27 32.0 11.1 3.1 3.2 2.3 0.1 - 8.8 - 92 32 2.9 4.4 39.5 36.4 74.5 0.38 53.9 48.5
Monica Maxwell G 27 31.8 10.7 5.1 2.0 1.4 0.4 - 8.9 - 85 32 2.7 4.2 39.7 41.4 84.6 0.82 55.2 51.3
Alicia Thompson F 26 24.9 9.8 5.1 1.3 0.8 0.1 - 8.0 - 83 31 2.7 5.3 51.7 44.4 71.0 0.95 57.0 55.5
Gordana Grubin G 24 24.6 7.7 2.4 2.3 1.1 0.0 - 8.2 - 134 29 4.6 8.8 35.0 30.9 75.0 1.41 44.0 41.4
Stephanie White G 27 20.0 7.3 2.0 2.0 1.0 0.1 - 5.3 - 51 32 1.6 3.1 40.6 38.3 82.9 0.19 56.7 48.6
Danielle McCulley C 24 15.5 6.0 2.8 0.8 0.5 0.8 - 5.5 - 126 29 4.3 9.7 40.5 18.8 72.0 0.89 47.4 41.6
Jurgita Streimikyte F 23 16.1 4.9 2.6 1.6 0.6 0.8 - 4.6 - 70 27 2.6 6.2 41.0 50.0 80.6 0.24 47.6 41.9
Chantel Tremitiere G 21 13.4 2.0 1.3 2.1 0.3 0.0 - 2.1 - -15 25 -0.6 -1.5 35.6 37.5 66.7 -0.54 42.8 38.9
Alessandra Santos de Olive - 2 3.1 1.5 0.5 0.0 0.0 0.0 - 0.5 - - - - - 100.0 0 50.0 - 79.8 100.0
Donna Harrington - 7 8.5 1.1 1.3 0.7 0.3 0.1 - 0.9 - 17 8 2.1 6.3 16.7 0 60.0 0.21 38.5 16.7
Katryna Gaither - 6 4.0 1.0 0.5 0.2 0.0 0.2 - 1.3 - 16 15 1.1 5.4 37.5 0 0 0.42 37.5 37.5
Texlin Quinney - 15 7.0 0.9 1.0 0.9 0.3 0.0 - 0.8 - 12 17 0.7 3.5 41.7 0 60.0 0.1 45.8 41.7
Usha Gilmore - 3 4.4 0.7 1.3 0.7 0.0 0.0 0.7 1.0 1.0 - - - - 33.3 0.0 0 - 33.3 33.3
Beverly Williams - 1 3.1 0.0 0.0 0.0 0.0 0.0 0.0 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