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Towson

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Towson Tigers
Program History
Coach: Pat Skerry

2017 Team Stats (2 games)

55.5
PPG
62.5
Opp
-7.0
Margin
37.7%
FG%
17.9%
3P%
55.8%
FT%
38.0
RPG
7.5
APG
15.0
TO
-
Est. poss./game
72.0
Adj PPG
69.1
Adj Opp PPG
#115
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 → 1067 (#129) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1082 (#102) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More → 1049 (#99) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More → +2.8 (#119) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More → +5.1 (#94) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.623 (#96) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.3 More → 0.594 (#125) AdjNet +3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.3 More → 0.595 (#126) AdjNet +3.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.0 | AdjD 69.1 More → 0.565 (#115) AdjO 72.0 | AdjD 69.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.4 | AdjD 68.4 More → 0.591 (#86) AdjO 72.4 | AdjD 68.4
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 → 0.595 (#114) 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 → 0.601 (#108) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 144 | GP 32 More → 1075 (#105) RD 144 | GP 32

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 @ George Mason Patriots W 67 - 61
2016-11-15 @ Morgan State Bears W 78 - 72
2016-11-20 @ Maryland Terrapins L 66 - 71
2016-11-22 @ Boston College Eagles L 70 - 80
2016-11-25 vs Stony Brook Seawolves W 88 - 63
2016-11-26 vs Robert Morris Colonials L 66 - 67
2016-11-30 vs Goucher Gophers W 99 - 37
2016-12-03 vs Old Dominion Monarchs L 58 - 60
2016-12-07 vs Loyola Maryland Greyhounds W 70 - 53
2016-12-10 vs Fairleigh Dickinson Knights W 90 - 87
2016-12-17 @ UMBC Retrievers W 73 - 72
2016-12-21 @ Nevada Wolf Pack L 72 - 81
2016-12-22 vs Iona Gaels W 76 - 69
2016-12-31 vs UNC Wilmington Seahawks L 67 - 76
2017-01-02 @ James Madison Dukes L 44 - 64
2017-01-05 @ Charleston Cougars L 57 - 62
2017-01-07 @ Elon Phoenix L 61 - 72
2017-01-12 vs Delaware Blue Hens W 83 - 56
2017-01-14 vs Northeastern Huskies W 74 - 67
2017-01-19 @ Hofstra Pride W 86 - 80
2017-01-21 @ Delaware Blue Hens W 75 - 58
2017-01-26 vs Charleston Cougars W 83 - 77
2017-01-28 @ Northeastern Huskies L 62 - 69
2017-02-02 vs Drexel Dragons W 104 - 103
2017-02-04 vs William & Mary Tribe W 82 - 80
2017-02-09 vs Hofstra Pride W 69 - 65
2017-02-11 @ Drexel Dragons W 69 - 65
2017-02-16 vs Elon Phoenix W 85 - 66
2017-02-18 vs James Madison Dukes W 75 - 65
2017-02-23 @ UNC Wilmington Seahawks L 78 - 83
2017-02-25 @ William & Mary Tribe L 79 - 83
2017-03-04 vs Northeastern Huskies W 82 - 54
2017-03-05 @ Charleston Cougars L 59 - 67

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%
Mike Morsell Mike Morsell G 14 28.4 15.8 3.4 1.4 0.8 0.5 1.9 1.9 18.1 82 27 3.0 4.9 37.0 0.0 74.1 1.26 284.2 37.0
A. Adala Moto A. Adala Moto F 2 24.0 14.5 8.0 1.0 1.0 0.5 1.0 13.0 11.0 66 27 2.4 4.1 42.3 37.5 80.0 -0.24 51.4 48.1
John Davis John Davis F 11 21.8 11.7 7.1 0.9 0.8 0.5 1.4 2.2 17.5 45 21 2.1 3.9 50.0 0.0 62.5 -1.65 234.4 50.0
Deshaun Morman Deshaun Morman G 14 26.1 10.1 3.3 2.1 1.7 0.4 1.5 1.3 14.9 67 27 2.5 4.2 33.3 0.0 63.6 1.45 310.9 33.3
Justin Gorham Justin Gorham C 1 21.0 8.0 7.0 0.0 0.0 0.0 0.0 5.0 10.0 86 27 3.2 12.9 80.0 0 0.0 1.81 63.3 80.0
Brian Starr Brian Starr G 14 22.4 5.5 1.9 1.4 0.8 0.1 1.1 1.0 7.6 116 27 4.3 7.8 35.7 16.7 40.0 1.92 237.7 39.3
Eddie Keith Eddie Keith G 14 22.6 5.2 3.3 1.2 0.5 0.5 1.4 1.1 8.3 78 27 2.9 5.7 46.7 28.6 50.0 1.11 188.1 53.3
Zane Martin Zane Martin G 14 12.9 4.8 1.6 0.7 0.9 0.0 1.1 0.8 6.0 77 27 2.9 8.3 18.2 20.0 80.0 0.95 253.8 22.7
Alex Thomas Alex Thomas F 13 19.1 4.2 4.4 0.4 0.4 0.8 1.2 0.6 8.5 -22 26 -0.8 -2.3 50.0 0 50.0 -3.56 258.5 50.0
Dennis Tunstall Dennis Tunstall F 13 8.0 2.4 2.5 0.4 0.4 0.4 0.2 0.1 5.7 84 24 3.5 21.2 100.0 0 0.0 1.43 824.5 100.0
Jordan McNeil Jordan McNeil G 13 10.8 2.3 0.8 0.4 0.3 0.1 0.6 0.2 3.1 44 26 1.7 7.3 33.3 0.0 50.0 -0.69 386.6 33.3
Van Rolle Van Rolle G 3 5.7 1.0 0.3 0.0 0.3 0.0 0.0 0.0 1.7 - - - - 0 0 50.0 2.09 170.5 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