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St. Francis Brooklyn

Also known as: St. Francis Brooklyn Terriers
Program History

2017 Team Stats (13 games)

62.2
PPG
78.5
Opp
-16.3
Margin
35.4%
FG%
29.7%
3P%
59.7%
FT%
31.6
RPG
10.5
APG
11.4
TO
-
Est. poss./game
58.6
Adj PPG
75.2
Adj Opp PPG
#343
Scoring Rank

Model Outputs

2016-2017
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†’ 545 (#348) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 613 (#349) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 814 (#350) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -17.6 (#343) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -19.1 (#347) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.104 (#343) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -26.4 More โ†’ 0.045 (#345) AdjNet -26.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -26.6 More โ†’ 0.044 (#345) AdjNet -26.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.6 | AdjD 75.2 More โ†’ 0.182 (#343) AdjO 58.6 | AdjD 75.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.5 | AdjD 73.6 More โ†’ 0.233 (#346) AdjO 60.5 | AdjD 73.6
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†’ 0.107 (#347) 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†’ 0.113 (#347) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 172 | GP 30 More โ†’ 604 (#348) RD 172 | GP 30

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-13 @ NC State Wolfpack L 61 - 86
2016-11-15 @ Virginia Cavaliers L 32 - 72
2016-11-21 @ Providence Friars L 48 - 64
2016-11-25 vs Savannah State Tigers W 97 - 91
2016-11-26 @ UT Rio Grande Valley Vaqueros L 61 - 71
2016-11-30 @ Brown Bears L 71 - 81
2016-12-03 @ Army Black Knights L 56 - 76
2016-12-05 vs Lafayette Leopards L 72 - 74
2016-12-07 vs Mount Saint Vincent MOUNT SAINT VINCENT W 69 - 51
2016-12-10 @ Canisius Golden Griffins L 81 - 91
2016-12-17 @ UAlbany Great Danes L 60 - 87
2016-12-20 vs Manhattan Jaspers L 54 - 61
2016-12-23 vs Saint Peter's Peacocks L 58 - 65
2016-12-29 vs Bryant Bulldogs W 80 - 77
2016-12-31 vs Central Connecticut Blue Devils W 86 - 77
2017-01-05 @ Saint Francis Red Wolves L 56 - 81
2017-01-07 @ Robert Morris Colonials L 58 - 62
2017-01-12 vs Sacred Heart Pioneers L 75 - 87
2017-01-14 @ Long Island University Sharks L 58 - 63
2017-01-19 @ Fairleigh Dickinson Knights L 40 - 57
2017-01-21 vs Mount St. Mary's Mountaineers L 47 - 55
2017-01-26 vs Fairleigh Dickinson Knights L 73 - 79
2017-01-28 @ Wagner Seahawks L 64 - 66
2017-02-02 vs Saint Francis Red Wolves L 61 - 78
2017-02-04 vs Robert Morris Colonials L 54 - 78
2017-02-09 @ Sacred Heart Pioneers L 65 - 80
2017-02-11 @ Bryant Bulldogs L 69 - 80
2017-02-15 vs Long Island University Sharks L 45 - 82
2017-02-18 vs Wagner Seahawks L 55 - 73
2017-02-23 @ Central Connecticut Blue Devils L 53 - 62
2017-02-25 @ Mount St. Mary's Mountaineers L 62 - 77

2017 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
G. Sanabria G. Sanabria G 15 34.1 14.6 1.7 3.3 1.3 0.2 1.5 10.5 9.1 -174 25 -7.0 -14.8 38.9 37.6 70.3 -0.92 63.2 49.0
R. Dunn R. Dunn G 13 27.8 12.9 3.8 1.6 1.7 0.1 1.5 11.2 7.5 -170 24 -7.1 -16.5 39.3 28.8 60.0 -2.14 48.4 44.5
Y. Hopkinson Y. Hopkinson G 15 29.4 10.3 2.8 2.6 1.1 0.1 2.1 10.1 4.6 -192 25 -7.7 -18.5 26.3 25.3 66.7 -4.25 46.6 34.5
R. Montgomery R. Montgomery F 14 19.2 5.3 4.1 0.7 0.5 1.1 1.4 4.1 6.2 -152 24 -6.3 -17.9 41.4 33.3 54.5 -1.99 58.9 42.2
G. Olafsson G. Olafsson G 15 22.2 5.0 5.2 0.8 0.8 0.1 0.9 3.6 7.3 -135 20 -6.8 -18.2 40.7 39.3 42.9 -3.14 62.3 50.9
K. Williams K. Williams F 15 22.3 4.3 4.5 0.7 0.9 0.3 0.7 4.2 5.8 -175 25 -7.0 -22.2 33.3 26.9 57.1 -5.66 47.0 38.9
J. Bodrick J. Bodrick F 15 13.9 4.2 1.9 0.3 0.2 0.1 1.1 3.8 1.8 - - - - 42.1 0.0 53.8 - 50.2 42.1
D.J. Porter D.J. Porter F 14 12.8 2.9 2.4 0.3 0.6 0.6 0.7 3.5 2.5 -5 17 -0.3 -1.7 30.6 28.6 55.6 2.58 38.7 36.7
G. Ford G. Ford G 13 11.3 2.8 1.0 0.3 0.3 0.1 0.5 3.0 1.1 -76 20 -3.8 -16.4 23.1 18.2 64.3 -3.32 41.0 28.2
J. Nurse J. Nurse F 15 8.3 1.6 1.5 0.2 0.1 0.4 0.8 1.1 1.9 -79 24 -3.3 -16.9 47.1 0 40.0 -2.61 46.5 47.1
J. Lasic J. Lasic F 12 5.4 1.0 0.8 0.1 0.0 0.0 0.4 0.9 0.6 -23 19 -1.2 -5.8 27.3 33.3 83.3 0.7 44.0 31.8
S. Harris S. Harris G 5 1.2 0.0 0.2 0.0 0.0 0.0 0.0 0.0 0.2 6 5 1.2 62.1 0 0 0 -0.25 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