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Xavier

Also known as: Xavier Musketeers, Xavier
Program History

2013 Team Stats (5 games)

63.6
PPG
62.5
Opp
+2.7
Margin
44.2%
FG%
33.3%
3P%
61.0%
FT%
36.8
RPG
12.2
APG
15.6
TO
76.2
Pace

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 → 1434 (#97) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1498 (#48) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1050 (#105) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +35.1 (#40) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +15.4 (#83) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.466 (#64) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -1.1 More → 0.464 (#105) NetEff -1.1
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.1 More → 0.589 (#52) AdjNet +3.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.3 More → 0.594 (#51) AdjNet +3.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.6 | AdjD 60.3 More → 0.597 (#106) AdjO 64.6 | AdjD 60.3
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 → 0.791 (#88) 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 → 0.762 (#93) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 31 More → 1125 (#106) RD 132 | GP 31

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Fairleigh Dickinson Knights W 117 - 75
2012-11-13 vs Butler Bulldogs W 62 - 47
2012-11-17 vs Robert Morris Colonials W 61 - 59
2012-11-22 vs Pacific Tigers L 67 - 70
2012-11-23 @ Drexel Dragons W 69 - 65
2012-11-25 @ Drake Bulldogs W 74 - 70
2012-12-01 @ Purdue Boilermakers W 63 - 57
2012-12-06 vs Vanderbilt Commodores L 64 - 66
2012-12-09 vs Kent State Golden Flashes W 62 - 55
2012-12-19 @ Cincinnati Bearcats L 45 - 60
2012-12-22 vs Wofford Terriers L 55 - 56
2012-12-29 @ Tennessee Volunteers L 47 - 51
2013-01-02 @ Wake Forest Demon Deacons L 59 - 66
2013-01-10 vs Temple Owls W 57 - 52
2013-01-12 vs George Washington Colonials W 71 - 56
2013-01-16 @ St. Bonaventure Bonnies W 66 - 64
2013-01-19 vs La Salle Explorers W 70 - 63
2013-01-23 @ Charlotte 49ers L 57 - 63
2013-01-26 @ Saint Joseph's Hawks L 49 - 59
2013-01-30 vs Dayton Flyers W 66 - 61
2013-02-02 @ Richmond Spiders L 71 - 73
2013-02-09 @ Duquesne Dukes W 73 - 65
2013-02-13 vs Fordham Rams W 79 - 66
2013-02-16 @ Dayton Flyers L 59 - 70
2013-02-20 @ Rhode Island Rams W 55 - 42
2013-02-23 vs VCU Rams L 71 - 75
2013-02-26 vs Memphis Tigers W 64 - 62
2013-03-02 vs UMass Minutemen L 72 - 77
2013-03-06 vs Saint Louis Billikens W 77 - 66
2013-03-09 @ Butler Bulldogs L 62 - 67
2013-03-14 vs Saint Joseph's Hawks L 57 - 58

2013 Roster

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
S. Christon S. Christon G 30 34.3 15.2 2.9 4.6 1.5 0.1 3.6 3.6 17.1 - - - 43.9 42.9 55.8 0.68 175.5 45.3
T. Taylor T. Taylor F 31 31.7 11.9 9.0 1.2 0.8 0.8 1.7 2.5 19.5 106 2.9 4.5 55.7 0 50.0 1.13 198.8 55.7
D. Davis D. Davis G 28 28.8 8.2 1.7 3.4 0.9 0.0 2.5 1.8 9.8 191 5.6 8.3 44.0 28.6 66.7 1.02 193.3 52.0
J. Martin J. Martin F 30 25.9 7.9 4.7 0.9 0.8 0.5 1.6 1.7 11.4 -153 -4.8 -12.7 34.6 20.8 72.7 1.05 207.6 39.4
B. Redford B. Redford G 31 23.0 7.6 1.2 0.5 0.4 0.1 0.8 1.8 7.3 126 4.1 6.4 40.0 41.7 87.5 1.46 202.5 58.2
I. Philmore I. Philmore F 28 24.9 7.5 5.0 0.4 0.1 0.5 1.0 1.5 11.1 4 0.1 0.2 51.2 0 64.3 0.13 196.9 51.2
J. Robinson J. Robinson F 30 24.2 6.8 4.8 0.4 0.6 0.4 1.2 1.9 9.9 257 7.6 11.9 51.7 33.3 69.6 1.23 149.0 52.6
E. Stenger E. Stenger F 30 9.2 1.8 2.3 0.2 0.2 0.3 0.5 0.4 4.0 -19 -0.6 -2.1 38.5 0 0.0 -0.2 186.3 38.5
J. Farr J. Farr F 11 3.8 1.5 1.3 0.0 0.1 0.2 0.1 0.2 2.7 14 1.2 8.5 0.0 0.0 0 -0.0 400.0 0.0
L. Amos L. Amos G 21 8.3 0.4 1.4 0.1 0.2 0.1 0.2 0.3 1.7 -52 -2.4 -7.5 0.0 0 0 -0.61 75.0 0.0
T. Whelan T. Whelan G 4 3.2 0.0 0.2 0.0 0.0 0.0 0.5 0.0 -0.2 - - - 0 0 0 - 0 0
J. Schuessler J. Schuessler G 3 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
K. Coker K. Coker F 3 1.3 0.0 0.0 0.0 0.0 0.0 0.3 0.0 -0.3 - - - 0 0 0 - 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