๐Ÿปโฌ‡๏ธ๐Ÿ€

Holy Cross

Also known as: Holy Cross Crusaders, Holy Cross
Program History

2014 Team Stats (1 games)

63.0
PPG
52.0
Opp
+11.0
Margin
41.5%
FG%
31.6%
3P%
61.9%
FT%
36.0
RPG
9.0
APG
14.0
TO
-
Est. poss./game
66.3
Adj PPG
65.9
Adj Opp PPG
#163
Scoring Rank

Model Outputs

2013-2014
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†’ 1000 (#176) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1039 (#140) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1040 (#114) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +0.2 (#167) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -0.9 (#186) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.574 (#127) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.0 More โ†’ 0.501 (#165) AdjNet +0.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.0 More โ†’ 0.501 (#165) AdjNet +0.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.3 | AdjD 65.9 More โ†’ 0.510 (#163) AdjO 66.3 | AdjD 65.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.3 | AdjD 64.0 More โ†’ 0.507 (#167) AdjO 64.3 | AdjD 64.0
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†’ 0.513 (#165) 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†’ 0.512 (#166) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 34 More โ†’ 1006 (#162) RD 108 | GP 34

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-10 @ Harvard Crimson L 72 - 82
2013-11-13 vs Sacred Heart Pioneers W 122 - 118
2013-11-15 @ North Carolina Tar Heels L 54 - 62
2013-11-20 @ Fairfield Stags W 63 - 49
2013-11-23 vs Belmont Bruins L 70 - 81
2013-11-24 vs Hartford Hawks W 80 - 55
2013-11-30 @ New Hampshire Wildcats W 63 - 52
2013-12-04 vs UAlbany Great Danes W 62 - 57
2013-12-07 @ Hartford Hawks L 78 - 90
2013-12-16 vs Canisius Golden Griffins L 73 - 83
2013-12-21 @ NJIT Highlanders W 74 - 55
2013-12-28 @ Michigan Wolverines L 66 - 88
2014-01-02 @ Boston University Terriers L 60 - 70
2014-01-05 vs American University Eagles L 54 - 69
2014-01-08 vs Colgate Raiders W 73 - 64
2014-01-11 @ Bucknell Bison L 57 - 61
2014-01-15 @ Army Black Knights W 78 - 75
2014-01-18 vs Lehigh Mountain Hawks W 61 - 42
2014-01-22 @ Lafayette Leopards W 59 - 58
2014-01-25 @ Navy Midshipmen W 67 - 52
2014-01-29 vs Loyola Maryland Greyhounds W 60 - 51
2014-02-01 @ American University Eagles L 57 - 63
2014-02-04 @ Colgate Raiders W 69 - 68
2014-02-09 vs Bucknell Bison W 66 - 50
2014-02-12 vs Army Black Knights W 66 - 63
2014-02-15 @ Lehigh Mountain Hawks W 72 - 67
2014-02-19 vs Lafayette Leopards L 64 - 76
2014-02-23 vs Navy Midshipmen W 74 - 57
2014-02-26 @ Loyola Maryland Greyhounds W 65 - 52
2014-03-01 vs Boston University Terriers L 64 - 68
2014-03-05 vs Lehigh Mountain Hawks W 54 - 48
2014-03-08 @ American University Eagles L 46 - 57
2014-03-17 @ Brown Bears W 68 - 65
2014-03-22 vs Yale Bulldogs L 66 - 71

2014 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%
Dave Dudzinski Dave Dudzinski F 31 31.7 15.4 7.6 0.7 0.7 0.7 2.0 2.5 20.7 104 24 4.3 6.2 49.4 38.5 85.0 2.44 278.6 52.6
Malcolm Miller Malcolm Miller F 31 30.0 10.5 5.5 2.1 0.9 1.5 1.7 1.4 17.5 58 24 2.4 3.5 44.2 44.4 62.5 -0.14 326.7 53.5
Anthony Thompson Anthony Thompson G 30 27.3 9.3 2.2 2.5 1.0 0.0 1.1 1.3 12.6 65 23 2.8 4.6 48.7 46.2 83.3 -0.7 280.5 64.1
Justin Burrell Justin Burrell G 28 29.2 9.0 1.8 2.5 0.8 0.0 1.8 1.0 11.3 46 21 2.2 3.1 37.0 33.3 57.1 -0.67 417.2 44.4
Cullen Hamilton Cullen Hamilton G 17 21.1 8.7 1.8 0.9 0.6 0.0 0.9 0.6 10.5 - - - - 45.5 33.3 100.0 - 579.9 54.5
Eric Green Eric Green F 31 29.9 7.5 3.9 2.0 1.5 0.5 1.5 1.5 12.4 122 24 5.1 7.3 44.7 20.0 62.5 2.76 230.6 45.7
Malachi Alexander Malachi Alexander F 31 21.7 6.7 4.4 0.9 0.4 0.6 1.9 1.1 9.9 24 24 1.0 2.1 30.3 16.7 75.0 -1.66 237.6 31.8
Taylor Abt Taylor Abt F 31 11.7 2.3 2.4 0.1 0.2 0.2 0.7 0.5 3.8 -28 24 -1.2 -4.8 50.0 28.6 50.0 -2.67 187.8 56.2
Robert Champion Robert Champion G 21 9.7 2.1 1.0 0.2 0.2 0.1 0.2 0.8 2.7 -12 17 -0.7 -3.4 25.0 23.1 25.0 -3.1 126.7 34.4
De'Vaughn Reid De'Vaughn Reid G 14 7.8 1.5 0.6 0.4 0.4 0.1 0.4 0.4 2.1 -12 12 -1.0 -5.5 66.7 50.0 50.0 -2.88 152.6 75.0
Christopher Morgan Christopher Morgan F 12 3.2 0.5 0.2 0.1 0.1 0.0 0.0 0.2 0.8 - - - - 50.0 0 0 - 150.0 50.0
Chris Jayne Chris Jayne - 6 1.2 0.2 0.3 0.0 0.0 0.0 0.0 0.0 0.5 - - - - 0 0 0 - 0 0
Patrick Kerrigan Patrick Kerrigan - 5 1.0 0.0 0.0 0.0 0.0 0.0 0.2 0.0 -0.2 - - - - 0 0 0 - 0 0
Isaiah Baker Isaiah Baker F 4 1.0 0.0 0.2 0.0 0.0 0.0 0.2 0.0 0.0 - - - - 0 0 0 - 0 0
Matt Husek Matt Husek C 6 1.5 0.0 0.0 0.2 0.0 0.0 0.2 0.0 0.0 - - - - 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