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Wagner Seahawks

Also known as: Wagner Seahawks
Program History

2014 Team Stats (1 games)

76.0
PPG
94.0
Opp
-18.0
Margin
40.3%
FG%
14.3%
3P%
85.7%
FT%
31.0
RPG
11.0
APG
4.0
TO
-
Est. poss./game
66.4
Adj PPG
67.9
Adj Opp PPG
#194
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†’ 1116 (#84) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1000 (#167) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1069 (#80) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -1.9 (#196) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +1.5 (#145) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.617 (#105) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.8 More โ†’ 0.419 (#195) AdjNet -2.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -2.9 More โ†’ 0.418 (#195) AdjNet -2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.4 | AdjD 67.9 More โ†’ 0.466 (#194) AdjO 66.4 | AdjD 67.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.0 | AdjD 64.0 More โ†’ 0.569 (#101) AdjO 67.0 | AdjD 64.0
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†’ 0.534 (#148) 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†’ 0.554 (#136) 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 30 More โ†’ 1044 (#139) RD 147 | GP 30

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-09 @ Penn State Nittany Lions L 62 - 74
2013-11-12 vs Chestnut Hill Griffins W 75 - 67
2013-11-15 @ St. John's Red Storm L 57 - 73
2013-11-18 @ Coppin State Eagles W 102 - 87
2013-11-21 vs Vermont Catamounts W 68 - 61
2013-11-25 vs Stetson Hatters W 81 - 64
2013-11-26 vs St. Bonaventure Bonnies L 67 - 70
2013-11-27 @ UIC Flames L 76 - 94
2013-12-03 vs Lafayette Leopards L 65 - 77
2013-12-07 @ Pennsylvania Quakers W 75 - 69
2013-12-14 @ Rider Broncs L 58 - 79
2013-12-19 @ La Salle Explorers L 54 - 80
2013-12-30 @ Monmouth Hawks W 59 - 52
2014-01-04 vs North Carolina Central Eagles - Preview
2014-01-09 @ Central Connecticut Blue Devils W 88 - 59
2014-01-11 vs Long Island University Sharks W 84 - 70
2014-01-16 @ Mount St. Mary's Mountaineers L 80 - 89
2014-01-18 @ Saint Francis Red Wolves W 56 - 50
2014-01-23 vs Central Connecticut Blue Devils L 83 - 87
2014-01-25 @ Robert Morris Colonials L 70 - 74
2014-01-30 @ Long Island University Sharks W 75 - 68
2014-02-01 @ St. Francis Brooklyn Terriers L 72 - 73
2014-02-06 vs Fairleigh Dickinson Knights W 75 - 68
2014-02-08 @ Sacred Heart Pioneers W 62 - 55
2014-02-13 @ Fairleigh Dickinson Knights - Postponed
2014-02-16 vs Bryant Bulldogs W 73 - 61
2014-02-20 vs Sacred Heart Pioneers W 74 - 62
2014-02-22 vs Mount St. Mary's Mountaineers W 71 - 66
2014-02-24 @ Fairleigh Dickinson Knights W 67 - 64
2014-02-27 vs Saint Francis Red Wolves W 74 - 45
2014-03-01 vs Robert Morris Colonials W 59 - 48
2014-03-05 vs Central Connecticut Blue Devils W 83 - 59
2014-03-08 vs Mount St. Mary's Mountaineers L 72 - 77

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%
Latif Rivers Latif Rivers G 23 28.1 13.5 2.8 1.9 0.8 0.3 1.5 1.7 16.1 15 19 0.8 1.2 50.0 41.7 61.5 -3.8 340.1 56.2
Kenneth Ortiz Kenneth Ortiz G 24 31.3 13.2 4.4 4.2 1.6 0.2 2.5 1.7 19.3 102 20 5.1 7.0 31.7 0.0 73.9 1.3 309.1 31.7
Marcus Burton Marcus Burton G 23 22.2 11.0 2.2 1.7 0.6 0.1 1.5 1.5 12.5 111 18 6.2 11.4 37.1 18.8 94.1 2.78 296.6 41.4
Mario Moody Mario Moody F 24 22.5 9.2 5.6 0.5 0.6 1.4 1.5 1.5 14.4 45 19 2.4 4.7 38.9 33.3 55.6 -1.18 277.8 40.3
Orlando Parker Orlando Parker F 21 24.7 7.6 6.3 0.4 0.8 0.8 1.0 0.7 14.3 78 19 4.1 6.8 28.6 0 0.0 -0.43 554.0 28.6
Dwaun Anderson Dwaun Anderson G 24 20.9 5.1 2.9 0.8 0.8 0.4 1.0 0.7 8.3 89 20 4.5 8.2 50.0 14.3 60.0 -0.66 337.9 53.1
Naofall Folahan Naofall Folahan C 24 19.6 4.0 5.0 0.1 0.2 2.5 0.8 0.5 10.5 91 20 4.5 9.9 46.2 0 80.0 2.73 312.5 46.2
Greg Senat Greg Senat F 14 6.1 2.2 1.8 0.0 0.0 0.1 0.2 0.2 3.6 10 11 0.9 7.3 66.7 0 50.0 -0.43 399.5 66.7
Nolan Long Nolan Long F 17 8.4 2.1 3.1 0.0 0.1 0.4 0.1 0.4 5.2 24 11 2.2 10.8 66.7 0 0 1.14 291.7 66.7
Hugo Naurais Hugo Naurais F 17 6.9 1.5 2.1 0.0 0.2 0.1 0.5 0.2 3.2 -1 13 -0.1 -0.6 25.0 0.0 0 -3.12 325.0 25.0
Langston Burnett Langston Burnett G 12 6.7 1.2 1.0 0.4 0.2 0.0 0.5 0.3 2.0 23 12 1.9 13.4 25.0 0.0 0 -0.38 175.0 25.0
Jay Harris Jay Harris G 1 20.0 1.0 2.0 4.0 0.0 0.0 1.0 2.0 4.0 63 13 4.8 7.3 0.0 0.0 50.0 0.35 17.4 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