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Portland Fire

Season: 2026 2002 2001 2000
Also known as: Portland Fire
Program History

2000 Team Stats (28 games)

67.8
PPG
73.2
Opp
-5.4
Margin
41.5%
FG%
32.2%
3P%
71.0%
FT%
29.5
RPG
15.4
APG
-
TO
-
Est. poss./game
65.9
Adj PPG
69.4
Adj Opp PPG
#11
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 → 878 (#13) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 879 (#13) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +110 elo More → 895 (#13) HCA +110 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.7 More → -3.5 (#11) HCA +3.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +4.5 More → -4.4 (#13) HCA +4.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.318 (#13) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -5.0 More → 0.360 (#13) AdjNet -5.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -5.1 More → 0.357 (#13) AdjNet -5.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.9 | AdjD 69.4 More → 0.422 (#11) AdjO 65.9 | AdjD 69.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.6 | AdjD 67.7 More → 0.407 (#13) AdjO 63.6 | AdjD 67.7
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 → 0.364 (#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 → 0.361 (#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 102 | GP 32 More → 877 (#13) RD 102 | GP 32

2000 Schedule & Results

Date Vs/At Opponent Result Score
2000-05-31 vs Houston Comets L 89 - 93
2000-06-03 @ Seattle Storm W 65 - 58
2000-06-06 @ Los Angeles Sparks L 57 - 70
2000-06-08 vs Las Vegas Aces L 72 - 81
2000-06-13 vs Phoenix Mercury L 69 - 75
2000-06-14 @ Phoenix Mercury L 80 - 81
2000-06-17 vs Los Angeles Sparks L 81 - 94
2000-06-20 vs Charlotte L 85 - 87
2000-06-23 vs Seattle Storm W 72 - 61
2000-06-25 @ Sacramento Monarchs L 76 - 92
2000-06-28 vs Cleveland Rockers W 80 - 69
2000-06-30 @ Houston Comets L 39 - 79
2000-07-02 @ Minnesota Lynx L 75 - 81
2000-07-03 @ Indiana Fever W 68 - 64
2000-07-05 @ New York Liberty L 45 - 62
2000-07-07 vs Sacramento Monarchs L 60 - 63
2000-07-09 vs Washington Mystics W 75 - 58
2000-07-11 @ Los Angeles Sparks - Incomplete score
2000-07-12 @ Las Vegas Aces L 67 - 76
2000-07-14 vs Minnesota Lynx W 65 - 54
2000-07-19 @ Miami Sol - Incomplete score
2000-07-21 @ Charlotte L 64 - 73
2000-07-23 @ Minnesota Lynx L 63 - 80
2000-07-24 @ Dallas Wings - Incomplete score
2000-07-26 vs Sacramento Monarchs L 70 - 73
2000-07-28 vs Indiana Fever L 58 - 73
2000-07-30 vs Connecticut Sun W 76 - 55
2000-08-01 vs Miami Sol - Incomplete score
2000-08-04 vs Houston Comets L 56 - 81
2000-08-06 @ Seattle Storm L 58 - 66
2000-08-07 @ Las Vegas Aces L 73 - 83
2000-08-09 vs Phoenix Mercury L 60 - 68

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%
Sophia Witherspoon G 28 32.8 16.4 3.2 2.1 1.2 0.2 - 14.2 - 103 32 3.2 4.5 37.4 34.0 86.7 0.25 50.4 43.6
Sylvia Crawley C 28 29.9 11.9 6.2 1.1 1.0 0.9 - 9.7 - 67 31 2.2 3.2 48.7 0.0 71.4 0.02 53.2 48.7
Vanessa Nygaard F 28 26.3 8.0 3.9 1.0 0.5 0.2 - 6.6 - 142 32 4.4 7.8 42.9 35.0 76.0 1.47 54.4 50.5
Alisa Burras F 20 14.8 7.5 3.5 0.3 0.1 0.3 - 5.2 - 57 21 2.7 6.6 58.7 0 73.0 0.76 61.9 58.7
Michelle Marciniak - 28 16.6 5.4 1.5 2.3 1.1 0.1 - 4.8 - 127 32 4.0 7.3 36.6 30.6 56.7 1.33 46.2 42.2
Stacey Thomas F 28 26.5 5.2 3.8 3.2 1.8 0.3 - 5.1 - 111 32 3.5 6.0 36.6 25.0 66.7 0.75 43.6 37.7
Tully Bevilaqua G 28 25.1 4.7 3.0 3.1 1.2 0.2 - 3.4 - 95 32 3.0 5.5 36.2 28.0 78.1 0.85 54.0 43.6
Lynn Pride F 28 14.5 3.6 1.8 1.3 0.5 0.3 - 3.7 - 92 32 2.9 6.7 35.0 25.0 71.8 0.55 42.4 35.9
Tara Williams - 22 7.0 3.1 0.7 0.5 0.3 0.1 - 2.8 - 70 26 2.7 10.1 44.3 33.3 50.0 1.09 54.2 54.1
DeMya Walker - 26 10.1 2.7 1.6 0.5 0.6 0.2 - 2.8 - 46 30 1.5 4.1 36.5 0.0 43.6 0.46 38.9 36.5
Michele Van Gorp C 25 6.8 2.4 1.5 0.2 0.1 0.0 - 1.8 - 67 28 2.4 10.1 50.0 0 56.7 0.67 53.3 50.0
Jamila Wideman - 5 7.1 0.0 0.8 0.4 0.4 0.0 - 0.4 - 33 5 6.6 22.2 0.0 0 0 0.63 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