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Xavier Musketeers

Also known as: Xavier Musketeers
Program History

2013 Team Stats (2 games)

63.5
PPG
80.0
Opp
-16.5
Margin
38.7%
FG%
45.0%
3P%
72.2%
FT%
32.0
RPG
18.0
APG
17.5
TO
-
Est. poss./game
59.6
Adj PPG
58.6
Adj Opp PPG
#142
Scoring Rank

Model Outputs

2012-2013
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†’ 1100 (#104) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 958 (#193) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +72 elo More โ†’ 1006 (#153) HCA +72 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ +1.4 (#138) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ +1.8 (#140) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.474 (#160) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.0 More โ†’ 0.586 (#134) AdjNet +3.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.2 More โ†’ 0.591 (#133) AdjNet +3.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.6 | AdjD 58.6 More โ†’ 0.523 (#142) AdjO 59.6 | AdjD 58.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.6 | AdjD 55.8 More โ†’ 0.497 (#154) AdjO 55.6 | AdjD 55.8
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 โ†’ 0.551 (#134) 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†’ 0.546 (#138) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 28 More โ†’ 1013 (#151) RD 157 | GP 28

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 vs Bucknell Bison W 71 - 62
2012-11-12 vs Michigan Wolverines L 53 - 62
2012-11-19 vs High Point Panthers W 77 - 48
2012-11-21 vs Morehead State Eagles W 73 - 58
2012-11-25 vs Duke Blue Devils L 59 - 82
2012-11-30 vs App State Mountaineers L 73 - 77
2012-12-02 @ Cincinnati Bearcats W 69 - 67
2012-12-06 @ Middle Tennessee Blue Raiders L 48 - 63
2012-12-15 vs Wright State Raiders L 65 - 66
2012-12-18 vs UNC Wilmington Seahawks W 62 - 52
2012-12-21 @ Indiana Hoosiers L 55 - 66
2012-12-29 @ Virginia Cavaliers L 45 - 54
2013-01-05 vs Ohio Bobcats L 62 - 68
2013-01-13 vs Duquesne Dukes L 54 - 56
2013-01-17 @ Butler Bulldogs L 67 - 71
2013-01-20 @ Charlotte 49ers L 55 - 67
2013-01-23 vs Fordham Rams L 41 - 48
2013-01-27 @ Richmond Spiders L 63 - 73
2013-01-31 vs Saint Louis Billikens L 49 - 66
2013-02-03 vs St. Bonaventure Bonnies W 58 - 50
2013-02-07 @ Dayton Flyers L 68 - 78
2013-02-10 vs La Salle Explorers W 58 - 53
2013-02-17 vs Rhode Island Rams W 59 - 40
2013-02-20 @ Temple Owls W 54 - 53
2013-02-23 @ VCU Rams W 65 - 54
2013-02-27 vs George Washington Revolutionaries W 65 - 62
2013-03-02 @ Massachusetts Minutewomen W 67 - 54
2013-03-08 vs Temple Owls T 0 - 0

2013 Roster

Minutes by Position

Not enough player minute data to plot.

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%
A. Gray A. Gray NA 1 0.0 21.0 8.0 4.0 0.0 0.0 1.0 13.0 19.0 11 20 0.6 0.8 61.5 66.7 100.0 2.34 73.3 69.2
A. Zantt A. Zantt G 1 0.0 14.0 1.0 3.0 3.0 0.0 3.0 13.0 5.0 -25 20 -1.2 -2.5 38.5 57.1 0 -1.37 53.8 53.8
B. Glover B. Glover F 1 0.0 13.0 1.0 2.0 0.0 0.0 2.0 7.0 7.0 14 20 0.7 1.6 71.4 75.0 0 0.79 92.9 92.9
A. Wanninger A. Wanninger G 2 0.0 9.0 4.0 1.0 1.0 0.5 0.5 8.0 7.0 -39 20 -1.9 -2.6 37.5 50.0 25.0 -1.02 50.7 53.1
J. Pachko J. Pachko NA 1 0.0 8.0 2.0 0.0 0.0 0.0 2.0 8.0 0.0 -41 17 -2.4 -3.9 50.0 0 0 -2.71 50.0 50.0
S. Hawkes S. Hawkes G 2 0.0 6.0 3.5 5.5 1.0 0.0 4.5 8.5 3.0 -22 20 -1.1 -1.7 23.5 28.6 100.0 1.09 33.6 29.4
L. Crouch L. Crouch F 1 0.0 2.0 10.0 4.0 0.0 0.0 3.0 8.0 5.0 -23 9 -2.6 -5.3 12.5 0.0 0 0.19 12.5 12.5
J. Crittendon J. Crittendon G 1 0.0 2.0 2.0 3.0 2.0 0.0 3.0 3.0 3.0 -5 19 -0.3 -0.5 33.3 0 0 -0.65 33.3 33.3

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