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St. Francis (PA) Red Flash

Also known as: St. Francis (PA) Red Flash
Program History

2014 Team Stats (1 games)

43.0
PPG
75.0
Opp
-32.0
Margin
31.3%
FG%
15.8%
3P%
58.8%
FT%
20.0
RPG
7.0
APG
9.0
TO
-
Est. poss./game
58.5
Adj PPG
68.7
Adj Opp PPG
#314
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†’ 871 (#267) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 832 (#291) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 963 (#228) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -10.9 (#312) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -9.0 (#298) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.210 (#315) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.9 More โ†’ 0.112 (#320) AdjNet -17.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.1 More โ†’ 0.110 (#320) AdjNet -18.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.5 | AdjD 68.7 More โ†’ 0.283 (#314) AdjO 58.5 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.8 | AdjD 66.8 More โ†’ 0.368 (#299) AdjO 60.8 | AdjD 66.8
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†’ 0.264 (#296) 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†’ 0.280 (#293) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 147 | GP 31 More โ†’ 859 (#265) RD 147 | GP 31

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Fordham Rams L 67 - 87
2013-11-11 vs Navy Midshipmen W 60 - 57
2013-11-13 @ Dayton Flyers L 56 - 70
2013-11-16 @ Bucknell Bison L 50 - 72
2013-11-19 @ George Mason Patriots L 46 - 58
2013-11-23 @ Colgate Raiders L 64 - 81
2013-11-30 vs American University Eagles L 43 - 75
2013-12-04 vs Lehigh Mountain Hawks L 50 - 57
2013-12-07 @ Cornell Big Red W 72 - 62
2013-12-17 vs Duquesne Dukes L 71 - 78
2013-12-22 @ Drexel Dragons L 49 - 59
2013-12-31 @ Denver Pioneers L 61 - 83
2014-01-04 vs NJIT Highlanders L 56 - 64
2014-01-09 @ Bryant Bulldogs L 67 - 77
2014-01-11 @ Central Connecticut Blue Devils W 75 - 67
2014-01-16 @ Robert Morris Colonials L 68 - 73
2014-01-18 vs Wagner Seahawks L 50 - 56
2014-01-23 vs Mount St. Mary's Mountaineers L 77 - 83
2014-01-25 vs Sacred Heart Pioneers W 68 - 66
2014-01-30 vs Central Connecticut Blue Devils W 69 - 63
2014-02-01 vs Fairleigh Dickinson Knights W 83 - 75
2014-02-06 @ St. Francis Brooklyn Terriers L 52 - 78
2014-02-08 @ Long Island University Sharks W 74 - 58
2014-02-13 vs Robert Morris Colonials L 60 - 66
2014-02-15 @ Fairleigh Dickinson Knights W 89 - 82
2014-02-20 vs St. Francis Brooklyn Terriers L 44 - 73
2014-02-22 vs Long Island University Sharks W 83 - 64
2014-02-27 @ Wagner Seahawks L 45 - 74
2014-03-01 @ Mount St. Mary's Mountaineers L 55 - 78
2014-03-05 @ Bryant Bulldogs W 55 - 54
2014-03-08 @ Robert Morris Colonials L 57 - 60

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%
Earl Brown Earl Brown F 27 32.7 13.1 8.0 1.4 0.8 0.9 2.5 2.2 19.5 -109 23 -4.7 -6.2 42.4 0.0 55.6 -1.44 263.7 42.4
Malik Harmon Malik Harmon G 27 30.1 9.0 2.7 2.8 0.8 0.0 1.6 1.4 12.5 -93 23 -4.0 -5.9 16.2 26.3 72.2 -0.83 271.6 23.0
Ben Millaud-Meunier Ben Millaud-Meunier G 27 19.8 8.3 1.7 0.7 0.6 0.0 1.0 1.6 8.8 -142 23 -6.2 -15.2 26.2 25.0 75.0 -6.3 236.9 34.5
Ronnie Drinnon Ronnie Drinnon F 23 23.4 7.0 5.8 1.2 0.9 0.8 1.1 1.6 13.1 -35 21 -1.7 -3.2 50.0 50.0 22.2 0.73 202.7 52.8
Dominique Major Dominique Major G 27 24.1 6.9 1.0 0.9 0.7 0.0 0.7 1.0 7.7 -57 23 -2.5 -4.4 30.8 35.0 53.3 -0.72 285.3 44.2
Stephon Mosley Stephon Mosley F 8 20.5 6.5 3.4 0.6 0.5 0.2 1.5 0.9 8.9 -70 7 -10.0 -19.4 71.4 0 66.7 -3.76 269.7 71.4
Stephon Whyatt Stephon Whyatt G 26 18.5 5.7 1.1 1.3 0.7 0.1 0.7 0.9 7.3 -38 22 -1.7 -4.0 47.8 16.7 58.3 -0.6 259.9 50.0
Ollie Jackson Ollie Jackson G 27 21.3 5.1 3.1 1.3 0.6 0.3 1.4 1.5 7.5 -93 23 -4.0 -8.0 37.5 32.1 80.0 0.4 156.5 48.8
Greg Brown Greg Brown G 27 23.0 3.7 2.6 1.7 0.8 0.4 1.2 1.0 7.0 -85 23 -3.7 -6.4 46.2 42.9 50.0 -2.45 172.8 51.9
Patrick Wrencher Patrick Wrencher F 10 4.4 1.4 0.8 0.0 0.0 0.1 0.2 0.3 1.8 -6 8 -0.8 -6.2 66.7 0 0 -1.93 233.3 66.7
Georgios Angelou Georgios Angelou G 11 6.2 1.3 0.5 0.4 0.2 0.0 0.4 0.5 1.5 -24 9 -2.7 -19.7 60.0 60.0 0 -3.89 140.0 90.0
Matthew Mazzara Matthew Mazzara G 5 2.4 0.0 0.2 0.0 0.4 0.0 0.6 0.2 -0.2 - - - - 0.0 0.0 0 - 0.0 0.0
Aric Gresko Aric Gresko G 5 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 0.67 0 0
Dalton Cesarz Dalton Cesarz G 4 2.0 0.0 0.2 0.0 0.2 0.0 0.0 0.2 0.2 - - - - 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