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Wagner

Also known as: Wagner Seahawks
Program History

2018 Team Stats (3 games)

52.0
PPG
69.0
Opp
-17.0
Margin
40.5%
FG%
32.7%
3P%
53.6%
FT%
40.3
RPG
13.0
APG
28.7
TO
-
Est. poss./game
51.0
Adj PPG
69.6
Adj Opp PPG
#332
Scoring Rank

Model Outputs

2017-2018
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†’ 601 (#327) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 701 (#325) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 874 (#316) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -20.1 (#335) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ -20.6 (#334) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.085 (#322) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -30.1 More โ†’ 0.030 (#331) AdjNet -30.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -30.7 More โ†’ 0.027 (#333) AdjNet -30.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 51.0 | AdjD 69.6 More โ†’ 0.156 (#332) AdjO 51.0 | AdjD 69.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.1 | AdjD 66.5 More โ†’ 0.263 (#322) AdjO 55.1 | AdjD 66.5
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†’ 0.116 (#329) 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†’ 0.130 (#328) 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 28 More โ†’ 721 (#325) RD 147 | GP 28

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 @ Virginia Tech Hokies L 32 - 99
2017-11-12 @ James Madison Dukes L 45 - 68
2017-11-16 @ Temple Owls L 36 - 70
2017-11-18 vs New Hampshire Wildcats L 53 - 65
2017-11-20 @ Staten Island Dolphins W 63 - 58
2017-11-22 @ UAlbany Great Danes L 44 - 89
2017-11-26 @ Stony Brook Seawolves L 50 - 69
2017-11-30 @ Towson Tigers L 42 - 64
2017-12-10 vs Longwood Lancers W 60 - 43
2017-12-17 vs Princeton Tigers L 37 - 58
2017-12-20 @ Lafayette Leopards L 52 - 70
2017-12-29 @ Bryant Bulldogs W 75 - 66
2017-12-31 @ Central Connecticut Blue Devils L 56 - 59
2018-01-06 vs Fairleigh Dickinson Knights L 64 - 74
2018-01-08 vs Sacred Heart Pioneers L 55 - 72
2018-01-13 @ LIU Brooklyn Blackbirds L 69 - 74
2018-01-15 @ St. Francis Brooklyn Terriers L 76 - 80
2018-01-20 vs Robert Morris Colonials L 52 - 58
2018-01-22 vs Saint Francis Red Wolves L 76 - 79
2018-01-27 @ Mount St. Mary's Mountaineers L 56 - 79
2018-02-03 vs St. Francis Brooklyn Terriers W 50 - 47
2018-02-05 vs LIU Brooklyn Blackbirds W 52 - 44
2018-02-10 @ Sacred Heart Pioneers L 49 - 61
2018-02-12 @ Fairleigh Dickinson Knights L 61 - 62
2018-02-17 vs Central Connecticut Blue Devils L 64 - 66
2018-02-19 vs Bryant Bulldogs L 60 - 70
2018-02-24 vs Mount St. Mary's Mountaineers W 69 - 68
2018-03-02 @ Robert Morris Colonials L 46 - 49
2018-03-04 @ Saint Francis Red Wolves L 55 - 86

2018 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%
S. Clark S. Clark F 3 30.3 18.7 9.7 0.7 1.0 2.3 6.0 17.7 8.7 -126 23 -5.5 -7.7 43.4 21.4 87.5 0.92 49.5 46.2
T. Simmons T. Simmons G 3 28.7 8.3 7.0 2.7 1.7 0.0 5.0 7.3 7.3 -34 21 -1.6 -2.5 54.5 100.0 0.0 2.91 55.7 56.8
K. Dixon-Edwards K. Dixon-Edwards G 3 25.0 6.3 3.0 1.3 0.3 0.0 3.0 6.3 1.7 -123 23 -5.3 -10.5 36.8 35.7 0 -0.12 50.0 50.0
A. Dailey A. Dailey G 3 21.3 4.7 3.7 1.7 1.0 0.3 0.7 4.0 6.7 -162 23 -7.0 -14.6 41.7 0 44.4 -4.92 43.9 41.7
N. Carter N. Carter G 3 33.7 4.7 3.0 3.3 0.7 0.3 3.0 3.7 5.3 -201 23 -8.7 -13.0 36.4 40.0 50.0 -4.81 48.2 45.5
J. How J. How G 3 17.7 4.3 1.3 0.7 0.7 0.3 2.7 4.7 0.0 -69 12 -5.8 -24.8 35.7 37.5 0 -6.54 46.4 46.4
M. Lenahan M. Lenahan G 3 19.0 2.7 4.0 1.7 0.3 0.3 3.0 3.0 3.0 -173 23 -7.5 -11.0 33.3 28.6 0 -4.17 44.4 44.4
S. Sullivan S. Sullivan F 1 10.0 2.0 4.0 1.0 0.0 1.0 2.0 1.0 5.0 -199 20 -9.9 -27.3 100.0 0 0 -7.99 100.0 100.0
T. Russell T. Russell G 3 13.7 1.7 3.3 0.7 0.0 0.0 3.0 4.0 -1.3 -79 22 -3.6 -8.0 16.7 33.3 0.0 0.16 19.4 20.8
A. Masonius A. Masonius G 3 7.3 0.0 1.0 0.0 0.7 0.0 1.3 0.0 0.3 -24 6 -4.0 -45.1 0 0 0 -3.84 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