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Xavier

Also known as: Xavier Musketeers, Xavier
Program History

2018 Team Stats (30 games)

83.1
PPG
74.7
Opp
+8.5
Margin
48.3%
FG%
37.0%
3P%
77.9%
FT%
38.5
RPG
16.3
APG
12.8
TO
-
Est. poss./game
84.9
Adj PPG
68.9
Adj Opp PPG
#13
Scoring Rank

Model Outputs

2017-2018
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†’ 1452 (#8) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1339 (#7) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1124 (#30) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +17.3 (#12) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +16.1 (#15) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.801 (#25) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +24.2 More โ†’ 0.942 (#14) AdjNet +24.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +24.3 More โ†’ 0.943 (#15) AdjNet +24.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.9 | AdjD 68.9 More โ†’ 0.811 (#13) AdjO 84.9 | AdjD 68.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.2 | AdjD 71.0 More โ†’ 0.716 (#21) AdjO 81.2 | AdjD 71.0
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†’ 0.864 (#11) 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†’ 0.851 (#13) 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 35 More โ†’ 1373 (#6) RD 109 | GP 35

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Morehead State Eagles W 101 - 49
2017-11-13 vs Rider Broncs W 101 - 75
2017-11-16 @ Wisconsin Badgers W 80 - 70
2017-11-20 vs Hampton Pirates W 96 - 60
2017-11-23 vs George Washington Revolutionaries W 83 - 64
2017-11-24 vs Arizona State Sun Devils L 86 - 102
2017-11-28 vs Baylor Bears W 76 - 63
2017-12-02 vs Cincinnati Bearcats W 89 - 76
2017-12-06 vs Kent State Golden Flashes W 96 - 70
2017-12-09 vs Colorado Buffaloes W 96 - 69
2017-12-16 vs East Tennessee State Buccaneers W 68 - 66
2017-12-19 vs Marshall Thundering Herd W 81 - 77
2017-12-22 @ Northern Iowa Panthers W 77 - 67
2017-12-27 @ Marquette Golden Eagles W 91 - 87
2017-12-30 vs DePaul Blue Demons W 77 - 72
2018-01-02 vs Butler Bulldogs W 86 - 79
2018-01-06 @ Providence Friars L 72 - 81
2018-01-10 @ Villanova Wildcats L 65 - 89
2018-01-13 vs Creighton Bluejays W 92 - 70
2018-01-17 vs St. John's Red Storm W 88 - 82
2018-01-20 @ Seton Hall Pirates W 73 - 64
2018-01-24 vs Marquette Golden Eagles W 89 - 70
2018-01-30 @ St. John's Red Storm W 73 - 68
2018-02-03 vs Georgetown Hoyas W 96 - 91
2018-02-06 @ Butler Bulldogs W 98 - 93
2018-02-10 @ Creighton Bluejays W 72 - 71
2018-02-14 vs Seton Hall Pirates W 102 - 90
2018-02-17 vs Villanova Wildcats L 79 - 95
2018-02-21 @ Georgetown Hoyas W 89 - 77
2018-02-28 vs Providence Friars W 84 - 74
2018-03-03 @ DePaul Blue Demons W 65 - 62
2018-03-08 vs St. John's Red Storm W 88 - 60
2018-03-09 vs Providence Friars L 72 - 75
2018-03-16 vs Texas Southern Tigers W 102 - 83
2018-03-18 vs Florida State Seminoles L 70 - 75

2018 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 35 34.3 19.3 5.5 2.5 0.7 0.3 2.0 11.9 14.4 225 26 8.7 10.9 42.5 41.2 84.4 4.73 68.7 53.7
J.P. Macura J.P. Macura G 34 29.7 12.9 4.5 2.9 1.4 0.4 2.0 8.0 12.0 200 26 7.7 11.4 46.5 38.1 81.4 3.54 69.2 54.8
Kerem Kanter Kerem Kanter F 35 16.4 10.9 4.5 0.5 0.3 0.3 0.8 6.7 8.9 87 26 3.3 8.8 57.9 34.7 78.6 0.63 70.2 61.5
Quentin Goodin Quentin Goodin G 35 29.7 8.7 2.9 4.9 0.9 0.2 2.3 6.2 9.1 186 26 7.2 10.5 45.2 32.2 77.6 1.27 59.6 49.5
Naji Marshall Naji Marshall - 35 21.8 7.7 4.4 1.6 0.7 0.3 1.6 4.7 8.5 108 26 4.2 8.2 52.8 36.6 77.0 2.89 69.3 57.4
Kaiser Gates Kaiser Gates F 34 23.8 7.2 4.6 0.9 0.5 0.3 0.6 4.3 8.5 162 26 6.2 11.2 42.5 38.3 84.1 3.34 74.1 57.5
Tyrique Jones Tyrique Jones F 32 15.0 7.0 4.5 0.5 0.6 0.6 0.8 3.4 9.0 48 23 2.1 6.0 59.6 0 58.8 -2.82 77.7 59.6
Sean O'Mara Sean O'Mara F 35 14.6 6.7 3.2 1.0 0.3 0.7 0.8 4.2 6.9 96 26 3.7 11.1 58.2 0 75.6 0.74 70.9 58.2
Paul Scruggs Paul Scruggs G 34 16.8 4.9 2.0 1.7 0.5 0.3 1.4 3.4 4.6 -12 25 -0.5 -1.3 45.6 30.0 71.1 -4.13 64.3 50.9
Elias Harden Elias Harden F 17 5.9 0.7 0.2 0.4 0.1 0.0 0.4 0.8 0.3 33 11 3.0 28.0 23.1 16.7 75.0 1.7 40.7 26.9
Leighton Schrand Leighton Schrand G 5 1.4 0.0 0.2 0.0 0.0 0.0 0.8 0.0 -0.6 - - - - 0 0 0 -2.74 0 0
Nick Vanderpohl Nick Vanderpohl G 4 1.0 0.0 0.0 0.2 0.0 0.0 0.0 0.0 0.2 - - - - 0 0 0 -1.86 0 0
Matt Singleton Matt Singleton F 6 0.8 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.86 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