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Wagner

Also known as: Wagner Seahawks
Program History

2014 Team Stats (2 games)

61.5
PPG
85.5
Opp
-24.0
Margin
40.0%
FG%
29.3%
3P%
53.6%
FT%
36.0
RPG
10.5
APG
21.0
TO
-
Est. poss./game
59.9
Adj PPG
71.9
Adj Opp PPG
#303
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†’ 823 (#260) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 801 (#295) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +88 elo More โ†’ 941 (#251) HCA +88 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -13.0 (#304) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -12.5 (#304) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.196 (#291) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.3 More โ†’ 0.120 (#294) AdjNet -17.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.4 More โ†’ 0.117 (#294) AdjNet -17.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.9 | AdjD 71.9 More โ†’ 0.252 (#303) AdjO 59.9 | AdjD 71.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.3 | AdjD 69.1 More โ†’ 0.350 (#281) AdjO 62.3 | AdjD 69.1
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†’ 0.244 (#290) 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†’ 0.262 (#282) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 30 More โ†’ 860 (#261) RD 150 | GP 30

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-10 vs Kentucky Wildcats L 57 - 96
2013-11-14 @ Monmouth Hawks W 70 - 57
2013-11-20 @ Iona Gaels L 59 - 74
2013-11-23 @ Seton Hall Pirates L 61 - 86
2013-11-26 vs Vermont Catamounts L 70 - 80
2013-12-01 vs VCU Rams L 61 - 87
2013-12-07 vs Pittsburgh Panthers L 55 - 69
2013-12-12 @ Rutgers Scarlet Knights L 53 - 83
2013-12-21 vs Eastern Michigan Eagles L 56 - 69
2013-12-22 @ Stony Brook Seawolves L 51 - 70
2013-12-30 @ NJIT Highlanders L 52 - 58
2014-01-04 vs LIU Brooklyn Blackbirds W 71 - 65
2014-01-06 vs Bryant Bulldogs L 63 - 80
2014-01-11 vs Central Connecticut Blue Devils L 71 - 80
2014-01-13 vs Sacred Heart Pioneers W 79 - 70
2014-01-18 @ Mount St. Mary's Mountaineers L 78 - 89
2014-01-20 @ Robert Morris Colonials L 63 - 74
2014-01-25 @ Sacred Heart Pioneers L 46 - 63
2014-01-27 @ St. Francis Brooklyn Terriers W 73 - 62
2014-02-01 vs Saint Francis Red Wolves L 78 - 92
2014-02-03 vs Robert Morris Colonials W 67 - 51
2014-02-08 @ Fairleigh Dickinson Knights L 70 - 82
2014-02-10 @ Bryant Bulldogs W 78 - 64
2014-02-15 vs St. Francis Brooklyn Terriers W 62 - 53
2014-02-17 vs Fairleigh Dickinson Knights W 67 - 48
2014-02-22 @ LIU Brooklyn Blackbirds L 51 - 77
2014-02-24 @ Central Connecticut Blue Devils W 75 - 63
2014-03-01 vs Mount St. Mary's Mountaineers L 52 - 64
2014-03-03 @ Saint Francis Red Wolves L 75 - 101
2014-03-09 @ Mount St. Mary's Mountaineers L 66 - 75

2014 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%
J. Nwajei J. Nwajei G 2 32.0 18.0 4.0 4.5 1.0 0.0 7.0 17.0 3.5 -79 18 -4.4 -6.1 38.2 21.4 53.8 -0.2 45.3 42.6
J. Peck J. Peck - 2 33.0 12.5 2.0 2.5 0.0 0.0 2.0 13.0 2.0 -105 19 -5.5 -6.6 34.6 30.8 75.0 -1.08 45.0 42.3
L. Amorosa L. Amorosa F 2 19.5 7.5 4.0 1.0 0.0 0.5 0.0 4.0 9.0 3 19 0.2 0.4 62.5 75.0 66.7 2.35 80.5 81.2
L. Rowe L. Rowe G 2 26.5 6.5 1.5 0.0 1.0 0.0 3.0 5.0 1.0 -114 19 -6.0 -7.6 50.0 40.0 100.0 -3.11 62.3 60.0
U. Nwaigwe U. Nwaigwe - 2 19.5 6.0 6.5 0.0 1.0 2.5 1.0 6.0 9.0 -30 19 -1.6 -3.1 50.0 0 0 1.1 50.0 50.0
J. Hamlet J. Hamlet G 2 23.5 5.5 5.0 0.5 1.5 0.5 2.0 6.5 4.5 -82 18 -4.6 -9.3 38.5 0.0 33.3 -1.92 38.4 38.5
M. Conyers-Jordan M. Conyers-Jordan G 2 10.5 3.5 1.0 0.0 0.0 0.0 2.5 3.5 -1.5 -40 9 -4.4 -12.6 42.9 0.0 25.0 -2.34 40.0 42.9
J. Clark J. Clark - 2 8.5 1.0 1.0 0.5 0.0 0.5 1.5 2.5 -1.0 -46 8 -5.8 -20.6 20.0 0 0 -4.73 20.0 20.0
T. Butigian T. Butigian F 2 15.5 1.0 3.5 1.0 0.0 1.5 1.5 2.5 3.0 -66 17 -3.9 -11.6 20.0 0.0 0 -3.26 20.0 20.0
T. Wade T. Wade G 2 2.5 0.0 0.0 0.5 0.5 0.0 0.5 0.0 0.5 -7 9 -0.8 -4.5 0 0 0 0.29 0 0
J. Dluhi J. Dluhi F 2 9.0 0.0 3.0 0.0 0.0 0.0 0.0 0.0 3.0 -79 16 -4.9 -14.9 0 0 0 -5.28 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