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Charlotte

Also known as: Charlotte
Program History

2000 Team Stats (25 games)

68.0
PPG
76.1
Opp
-8.1
Margin
42.6%
FG%
35.0%
3P%
73.1%
FT%
28.5
RPG
17.6
APG
-
TO
-
Est. poss./game
66.7
Adj PPG
74.3
Adj Opp PPG
#15
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†’ 760 (#16) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 797 (#15) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +110 elo More โ†’ 861 (#14) HCA +110 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.7 More โ†’ -7.9 (#15) HCA +3.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +4.5 More โ†’ -7.6 (#15) HCA +4.5
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.229 (#15) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.0 More โ†’ 0.220 (#15) AdjNet -11.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.0 More โ†’ 0.219 (#15) AdjNet -11.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.7 | AdjD 74.3 More โ†’ 0.334 (#15) AdjO 66.7 | AdjD 74.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.7 | AdjD 72.7 More โ†’ 0.346 (#15) AdjO 65.7 | AdjD 72.7
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 โ†’ 0.260 (#15) 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†’ 0.263 (#15) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 32 More โ†’ 782 (#16) RD 105 | GP 32

2000 Schedule & Results

Date Vs/At Opponent Result Score
2000-06-01 @ Connecticut Sun L 79 - 82
2000-06-03 vs Miami Sol L 63 - 74
2000-06-05 vs Cleveland Rockers L 53 - 69
2000-06-09 vs Seattle Storm L 62 - 67
2000-06-10 vs Connecticut Sun L 71 - 74
2000-06-12 @ Dallas Wings - Incomplete score
2000-06-15 @ Las Vegas Aces L 68 - 96
2000-06-17 @ Sacramento Monarchs L 63 - 74
2000-06-18 @ Los Angeles Sparks - Incomplete score
2000-06-20 @ Portland Fire W 87 - 85
2000-06-22 vs Phoenix Mercury - Incomplete score
2000-06-24 @ Connecticut Sun L 68 - 69
2000-06-25 vs Dallas Wings - Incomplete score
2000-06-28 vs Houston Comets L 66 - 76
2000-07-01 vs Washington Mystics L 74 - 78
2000-07-05 vs Miami Sol W 76 - 70
2000-07-07 @ Houston Comets L 71 - 86
2000-07-08 vs Cleveland Rockers L 59 - 80
2000-07-10 @ Cleveland Rockers L 65 - 72
2000-07-12 @ New York Liberty L 70 - 84
2000-07-15 @ Washington Mystics W 76 - 73
2000-07-21 vs Portland Fire W 73 - 64
2000-07-22 @ Indiana Fever L 59 - 80
2000-07-24 vs Indiana Fever W 82 - 78
2000-07-26 vs Washington Mystics - Incomplete score
2000-07-28 vs New York Liberty L 56 - 66
2000-07-29 @ Dallas Wings - Incomplete score
2000-07-31 @ New York Liberty L 56 - 81
2000-08-04 @ Miami Sol - Incomplete score
2000-08-05 vs Las Vegas Aces W 84 - 82
2000-08-08 vs Minnesota Lynx L 67 - 75
2000-08-09 @ Indiana Fever L 51 - 67

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%
Andrea Stinson G 25 35.0 17.3 4.4 3.8 1.6 0.6 - 14.4 - 208 32 6.5 9.2 45.7 36.1 72.7 1.01 53.4 49.9
Rhonda Mapp C 23 28.7 12.0 6.4 2.2 1.0 0.9 - 10.1 - 154 30 5.1 9.3 47.4 38.9 79.4 0.54 53.3 48.9
Shalonda Enis F 9 27.4 11.9 3.9 0.8 0.8 0.1 - 9.0 - 98 12 8.2 14.2 39.5 37.0 73.3 0.67 53.1 45.7
Dawn Staley G 25 34.1 9.0 2.6 5.9 1.1 0.0 - 8.2 - 189 32 5.9 8.5 37.3 34.7 86.8 0.78 49.3 43.6
Tracy Reid F 23 21.9 7.7 3.7 1.1 0.5 0.3 - 6.1 - 157 29 5.4 11.4 50.0 0.0 56.2 1.2 52.3 50.0
Tiffany Travis F 25 17.5 5.4 2.6 0.8 0.8 0.1 - 5.1 - 138 32 4.3 10.3 43.8 47.4 65.0 1.17 49.0 47.3
Charlotte Smith F 24 21.7 5.2 3.1 2.1 0.5 0.4 - 5.1 - - - - - 35.8 33.3 75.0 - 47.0 44.3
Niesa Johnson - 5 13.4 4.8 0.8 2.0 0.4 0.0 - 2.8 - 32 6 5.3 13.1 57.1 40.0 100.0 0.59 72.1 64.3
Angie Braziel F 17 10.5 2.9 1.8 0.1 0.2 0.0 - 2.8 - 55 22 2.5 10.3 40.4 0 70.6 0.62 45.9 40.4
Cass Bauer-Bilodeau F 22 14.1 2.6 1.8 0.5 0.3 0.1 - 2.5 - 133 29 4.6 17.9 38.2 0.0 94.1 1.62 46.4 38.2
Larecha Jones - 7 5.9 2.3 0.4 0.3 0.0 0.1 - 2.1 - 11 9 1.2 7.4 46.7 40.0 0 -0.01 53.3 53.3
Summer Erb - 23 8.5 1.8 1.6 0.4 0.3 0.2 - 2.0 - 106 29 3.7 11.8 33.3 0.0 57.1 1.04 38.7 33.3
E.C. Hill - 22 8.4 1.6 0.9 0.6 0.2 0.0 - 2.3 - 126 26 4.8 19.7 28.0 23.8 66.7 1.43 34.1 33.0

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