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Saint Francis Red Flash

Also known as: Saint Francis Red Wolves
Program History

2014 Team Stats (3 games)

92.3
PPG
101.3
Opp
-9.0
Margin
41.4%
FG%
30.6%
3P%
66.3%
FT%
40.3
RPG
15.3
APG
19.0
TO
-
Est. poss./game
79.0
Adj PPG
85.2
Adj Opp PPG
#241
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†’ 1028 (#153) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 934 (#217) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +88 elo More โ†’ 1034 (#120) HCA +88 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -7.0 (#243) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -5.1 (#225) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.400 (#201) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.6 More โ†’ 0.249 (#233) AdjNet -9.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.7 More โ†’ 0.246 (#233) AdjNet -9.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.0 | AdjD 85.2 More โ†’ 0.363 (#241) AdjO 79.0 | AdjD 85.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 79.7 | AdjD 80.4 More โ†’ 0.482 (#178) AdjO 79.7 | AdjD 80.4
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†’ 0.407 (#206) 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†’ 0.431 (#195) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 125 | GP 32 More โ†’ 989 (#167) RD 125 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Penn State Lady Lions L 77 - 117
2013-11-16 vs Colgate Raiders L 79 - 97
2013-11-21 @ George Mason Patriots L 62 - 97
2013-11-24 @ East Tennessee State Buccaneers W 92 - 79
2013-11-26 vs Howard Bison W 86 - 85
2013-12-04 @ Buffalo Bulls L 77 - 87
2013-12-08 vs Duquesne Dukes L 66 - 86
2013-12-17 @ Florida Gators L 71 - 105
2013-12-20 @ Florida Gulf Coast Eagles L 68 - 75
2013-12-21 @ Tulane Green Wave L 67 - 89
2013-12-29 @ Bowling Green Falcons L 66 - 81
2014-01-04 @ Sacred Heart Pioneers L 88 - 95
2014-01-06 @ Central Connecticut Blue Devils W 106 - 97
2014-01-11 vs Fairleigh Dickinson Knights W 111 - 89
2014-01-13 vs Bryant Bulldogs L 86 - 88
2014-01-18 @ Robert Morris Colonials L 69 - 83
2014-01-20 vs Mount St. Mary's Mountaineers W 81 - 66
2014-01-25 @ Fairleigh Dickinson Knights W 110 - 69
2014-01-27 @ LIU Brooklyn Blackbirds W 84 - 76
2014-02-01 @ Wagner Seahawks W 92 - 78
2014-02-03 @ Bryant Bulldogs W 83 - 79
2014-02-08 vs Sacred Heart Pioneers W 89 - 80
2014-02-10 vs St. Francis Brooklyn Terriers L 76 - 90
2014-02-15 vs LIU Brooklyn Blackbirds L 66 - 69
2014-02-17 vs Central Connecticut Blue Devils W 88 - 83
2014-02-22 @ St. Francis Brooklyn Terriers L 74 - 82
2014-02-24 @ Mount St. Mary's Mountaineers L 80 - 97
2014-03-01 vs Robert Morris Colonials W 78 - 73
2014-03-03 vs Wagner Seahawks W 101 - 75
2014-03-09 vs Sacred Heart Pioneers W 132 - 124
2014-03-12 @ Mount St. Mary's Mountaineers W 68 - 63
2014-03-16 @ Robert Morris Colonials L 64 - 78

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%
A. Williams A. Williams F 4 39.2 24.5 11.0 0.8 2.0 0.2 2.8 16.2 19.5 -98 20 -4.9 -6.6 43.1 30.4 71.4 0.1 56.6 48.5
A. Hayward A. Hayward G 4 33.5 24.0 2.5 3.2 0.5 0.2 1.8 20.5 8.2 -58 20 -2.9 -4.9 41.5 36.0 71.4 -0.21 54.4 52.4
S. Bethel S. Bethel G 1 19.0 12.0 3.0 2.0 1.0 1.0 6.0 6.0 7.0 -69 16 -4.3 -14.7 83.3 0.0 40.0 -3.33 73.2 83.3
A. Brock A. Brock G 4 27.8 10.0 2.2 3.2 1.5 0.0 1.8 8.0 7.2 -104 20 -5.2 -9.7 40.6 27.8 100.0 -2.48 55.6 48.4
B. Murphy B. Murphy G 4 27.0 6.5 3.5 3.0 0.8 0.0 3.0 8.2 2.5 -106 19 -5.6 -11.1 27.3 33.3 100.0 -3.03 36.9 31.8
R. Keegan R. Keegan C 4 20.2 3.5 4.5 2.0 1.0 1.2 0.8 3.0 8.5 -26 20 -1.3 -3.1 41.7 0 100.0 0.81 50.9 41.7
S. Stokes S. Stokes - 4 16.2 3.5 2.5 0.0 0.2 0.2 1.0 4.2 1.2 -51 19 -2.7 -11.1 35.3 0.0 50.0 -1.98 37.3 35.3
E. Blaine E. Blaine F 4 8.0 3.0 1.0 0.0 0.5 0.0 2.8 1.8 0.0 -117 20 -5.8 -26.5 42.9 0.0 75.0 -6.3 57.0 42.9
B. Taylor B. Taylor G 4 9.8 2.2 2.0 1.5 0.0 0.0 0.5 3.5 1.8 -40 19 -2.1 -6.4 21.4 15.4 50.0 -0.54 30.2 28.6
T. Allison T. Allison G 3 2.3 0.0 0.0 0.0 0.0 0.0 0.3 1.3 -1.7 -29 12 -2.4 -28.6 0.0 0.0 0 -2.76 0.0 0.0
A. Thompson A. Thompson C 1 4.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 -32 7 -4.6 -70.1 0.0 0 0 -5.35 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