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Xavier

Also known as: Xavier Musketeers, Xavier
Program History

2016 Team Stats (29 games)

79.8
PPG
70.6
Opp
+9.3
Margin
45.2%
FG%
36.3%
3P%
72.4%
FT%
40.7
RPG
16.4
APG
12.7
TO
-
Est. poss./game
82.3
Adj PPG
66.4
Adj Opp PPG
#16
Scoring Rank

Model Outputs

2015-2016
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†’ 1424 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1348 (#6) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1119 (#39) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +17.1 (#15) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +17.5 (#11) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.825 (#24) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.5 More โ†’ 0.944 (#17) AdjNet +24.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.7 More โ†’ 0.945 (#17) AdjNet +24.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.3 | AdjD 66.4 More โ†’ 0.809 (#16) AdjO 82.3 | AdjD 66.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.5 | AdjD 69.5 More โ†’ 0.733 (#16) AdjO 80.5 | AdjD 69.5
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†’ 0.866 (#16) 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†’ 0.855 (#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 109 | GP 34 More โ†’ 1362 (#7) RD 109 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Miami (OH) RedHawks W 81 - 72
2015-11-17 vs Missouri Tigers W 78 - 66
2015-11-20 @ Michigan Wolverines W 86 - 70
2015-11-23 vs Northern Kentucky Norse W 78 - 66
2015-11-26 vs Alabama Crimson Tide W 64 - 45
2015-11-27 @ USC Trojans W 87 - 77
2015-11-29 @ Dayton Flyers W 90 - 61
2015-12-05 vs Western Kentucky Hilltoppers W 95 - 64
2015-12-08 vs Wright State Raiders W 90 - 55
2015-12-12 vs Cincinnati Bearcats W 65 - 55
2015-12-19 vs Auburn Tigers W 85 - 61
2015-12-22 @ Wake Forest Demon Deacons W 78 - 70
2015-12-31 @ Villanova Wildcats L 64 - 95
2016-01-02 vs Butler Bulldogs W 88 - 69
2016-01-06 @ St. John's Red Storm W 74 - 66
2016-01-12 vs DePaul Blue Demons W 84 - 64
2016-01-16 @ Marquette Golden Eagles W 74 - 66
2016-01-19 vs Georgetown Hoyas L 72 - 81
2016-01-23 vs Seton Hall Pirates W 84 - 76
2016-01-26 @ Providence Friars W 75 - 68
2016-01-30 @ DePaul Blue Demons W 86 - 65
2016-02-03 vs St. John's Red Storm W 90 - 83
2016-02-06 vs Marquette Golden Eagles W 90 - 82
2016-02-09 @ Creighton Bluejays L 56 - 70
2016-02-13 @ Butler Bulldogs W 74 - 57
2016-02-17 vs Providence Friars W 85 - 74
2016-02-20 @ Georgetown Hoyas W 88 - 70
2016-02-24 vs Villanova Wildcats W 90 - 83
2016-02-28 @ Seton Hall Pirates L 81 - 90
2016-03-05 vs Creighton Bluejays W 98 - 93
2016-03-10 vs Marquette Golden Eagles W 90 - 72
2016-03-11 vs Seton Hall Pirates L 83 - 87
2016-03-18 vs Weber State Wildcats W 71 - 53
2016-03-20 vs Wisconsin Badgers L 63 - 66

2016 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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Trevon Bluiett Trevon Bluiett G 33 30.6 15.0 6.1 2.2 0.9 0.3 1.6 10.6 12.4 176 27 6.5 9.6 42.2 39.0 80.0 -0.32 61.8 51.7
Edmond Sumner Edmond Sumner - 30 25.8 11.0 3.4 3.7 1.3 0.2 2.1 7.7 9.6 152 26 5.8 9.8 38.4 27.0 73.1 -0.07 56.9 42.7
Myles Davis Myles Davis G 33 29.1 10.8 3.7 4.1 0.9 0.2 1.9 7.3 10.4 236 27 8.7 13.5 39.7 38.8 83.8 6.39 64.2 51.9
James Farr James Farr F 33 20.5 10.6 7.6 0.5 0.8 1.0 1.4 6.9 12.2 152 27 5.6 12.5 55.0 14.3 73.1 2.9 64.6 55.2
Jalen Reynolds Jalen Reynolds F 33 19.7 9.9 6.6 0.7 0.7 0.6 1.5 6.5 10.4 101 27 3.7 8.5 53.2 33.3 63.8 -0.29 63.3 53.7
J.P. Macura J.P. Macura G 33 22.8 9.2 2.6 2.0 1.1 0.0 1.0 6.2 7.8 108 27 4.0 7.9 47.1 36.7 80.6 1.37 65.1 55.1
Remy Abell Remy Abell G 33 24.5 6.5 1.7 1.5 0.5 0.1 1.0 4.4 4.8 199 27 7.4 13.9 39.7 35.8 77.2 4.92 62.8 47.9
Sean O'Mara Sean O'Mara F 31 7.0 3.3 1.9 0.3 0.2 0.2 0.6 1.8 3.5 5 25 0.2 1.3 59.6 0 58.8 -1.7 70.9 59.6
Kaiser Gates Kaiser Gates F 30 10.4 3.2 2.6 0.2 0.4 0.2 0.4 2.2 4.0 24 23 1.0 4.6 41.5 31.6 54.8 -0.26 57.5 50.8
Larry Austin Larry Austin G 33 9.7 1.8 1.2 1.2 0.5 0.0 0.8 1.3 2.5 11 26 0.4 1.9 38.6 0.0 60.0 -3.56 50.7 38.6
Makinde London Makinde London F 17 5.4 1.7 1.2 0.4 0.3 0.3 0.5 1.1 2.3 19 14 1.4 10.3 47.4 46.7 50.0 -0.46 67.0 65.8
Ashanti Burgess Ashanti Burgess G 3 1.0 0.3 0.0 0.0 0.0 0.0 0.3 0.3 -0.3 - - - - 0.0 0 50.0 -1.97 26.6 0.0
Kevin Coker Kevin Coker F 6 1.2 0.0 0.0 0.0 0.0 0.0 0.0 0.2 -0.2 - - - - 0.0 0 0 -1.97 0.0 0.0
Tim Stainbrook Tim Stainbrook F 9 1.9 0.0 0.0 0.1 0.0 0.1 0.1 0.0 0.1 - - - - 0 0 0 -1.47 0 0
Alex Bergen Alex Bergen G 4 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -0.94 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