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Wagner Seahawks

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Wagner Seahawks
Program History

2017 Team Stats (4 games)

66.5
PPG
70.0
Opp
-3.5
Margin
48.7%
FG%
40.8%
3P%
64.4%
FT%
36.0
RPG
13.8
APG
23.3
TO
-
Est. poss./game
49.0
Adj PPG
72.9
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 → 515 (#343) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 586 (#345) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +87 elo More → 844 (#333) HCA +87 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → -25.9 (#345) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → -21.7 (#335) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.045 (#337) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -39.7 More → 0.010 (#343) AdjNet -39.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -40.1 More → 0.009 (#343) AdjNet -40.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 49.0 | AdjD 72.9 More → 0.102 (#343) AdjO 49.0 | AdjD 72.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.6 | AdjD 68.8 More → 0.232 (#333) AdjO 55.6 | AdjD 68.8
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 → 0.071 (#343) 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 → 0.085 (#341) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 166 | GP 28 More → 622 (#342) RD 166 | GP 28

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 @ NJIT Highlanders L 45 - 68
2016-11-15 vs Staten Island Dolphins W 62 - 60
2016-11-17 vs Towson Tigers L 40 - 69
2016-11-20 vs Delaware State Hornets L 49 - 61
2016-11-26 @ New Hampshire Wildcats L 40 - 73
2016-11-30 vs Yale Bulldogs L 52 - 66
2016-12-03 vs Pennsylvania Quakers L 39 - 63
2016-12-05 @ Army Black Knights L 40 - 85
2016-12-10 vs UAlbany Great Danes L 50 - 75
2016-12-17 @ St. John's Red Storm L 34 - 62
2016-12-21 @ Princeton Tigers L 44 - 107
2016-12-29 @ Central Connecticut Blue Devils L 53 - 66
2016-12-31 @ Mount St. Mary's Mountaineers L 47 - 66
2017-01-07 vs Fairleigh Dickinson Knights L 53 - 59
2017-01-09 vs Sacred Heart Pioneers L 56 - 70
2017-01-14 vs Robert Morris Colonials L 63 - 82
2017-01-16 @ Bryant Bulldogs L 61 - 70
2017-01-21 @ Sacred Heart Pioneers L 52 - 62
2017-01-23 @ LIU Brooklyn Blackbirds L 64 - 69
2017-01-28 vs Saint Francis Red Wolves L 46 - 67
2017-01-30 vs St. Francis Brooklyn Terriers W 58 - 45
2017-02-04 @ Fairleigh Dickinson Knights W 74 - 66
2017-02-06 vs Central Connecticut Blue Devils L 71 - 83
2017-02-11 @ Robert Morris Colonials L 41 - 74
2017-02-13 @ Saint Francis Red Wolves W 87 - 71
2017-02-18 @ St. Francis Brooklyn Terriers L 50 - 63
2017-02-20 vs Mount St. Mary's Mountaineers L 59 - 70
2017-02-25 vs Bryant Bulldogs L 55 - 58
2017-02-27 vs LIU Brooklyn Blackbirds L 58 - 63

2017 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%
K. Phills K. Phills G 4 28.8 16.0 8.8 1.0 1.8 0.2 4.5 11.5 11.8 - - - - 56.5 0.0 52.2 - 57.0 56.5
C. Baggs C. Baggs G 4 35.0 12.2 4.5 1.0 1.8 1.0 3.0 7.5 10.0 - - - - 56.7 100.0 73.7 - 63.9 58.3
K. Crouch K. Crouch G 4 25.5 11.5 2.2 1.5 1.8 0.0 1.8 8.0 7.2 - - - - 40.6 40.7 90.0 - 63.2 57.8
T. Russell T. Russell G 4 27.5 11.0 3.0 2.8 0.5 0.0 4.8 10.2 2.2 - - - - 41.5 0 55.6 - 45.0 41.5
J. McClure J. McClure G 4 35.2 8.2 6.0 3.8 1.8 0.2 5.2 5.0 9.8 - - - - 45.0 57.1 64.7 - 60.0 55.0
T. Butigian T. Butigian F 4 32.8 5.0 7.0 3.5 0.2 2.2 2.2 3.5 12.2 - - - - 57.1 33.3 66.7 - 65.3 64.3
S. Sabino S. Sabino G 3 10.7 2.7 1.0 0.0 0.3 0.0 0.3 2.3 1.3 - - - - 42.9 33.3 0 - 57.1 57.1
J. Dluhi J. Dluhi F 2 14.5 1.0 2.0 0.5 0.5 0.5 0.5 1.5 2.5 - - - - 33.3 0.0 0 - 33.3 33.3

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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