🐻⬇️🏀

Loyola Maryland

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Loyola Maryland Greyhounds
Program History
Coach: Josh Loeffler

2013 Team Stats (5 games)

67.0
PPG
63.5
Opp
+3.3
Margin
43.6%
FG%
25.8%
3P%
66.4%
FT%
34.4
RPG
13.2
APG
11.8
TO
77.9
Pace

Model Outputs

2012-2013
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 → 898 (#906) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1067 (#329) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1080 (#73) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +15.6 (#335) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +11.4 (#124) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +2.9 More → 0.586 (#78) NetEff +2.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.9 | AdjD 61.5 More → 0.597 (#103) AdjO 65.9 | AdjD 61.5
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 → 0.738 (#128) 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 → 0.720 (#122) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 35 More → 1115 (#113) RD 105 | GP 35

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Binghamton Bearcats W 71 - 45
2012-11-11 @ Washington Huskies L 63 - 85
2012-11-14 vs UMBC Retrievers W 86 - 70
2012-11-17 vs Norfolk State Spartans W 63 - 49
2012-11-18 vs Albany Great Danes W 67 - 64
2012-11-23 @ Rhode Island Rams W 58 - 54
2012-11-26 vs Towson Tigers W 65 - 53
2012-11-28 @ Coppin State Eagles W 67 - 51
2012-12-01 @ Florida Gulf Coast Eagles L 50 - 65
2012-12-05 vs Niagara Purple Eagles L 61 - 62
2012-12-08 @ Saint Peter's Peacocks W 61 - 55
2012-12-15 vs Mount St. Mary's Mountaineers W 79 - 57
2012-12-28 vs Bucknell Bison L 46 - 66
2012-12-30 @ Memphis Tigers L 64 - 78
2013-01-04 vs Rider Broncs W 71 - 65
2013-01-06 vs Saint Peter's Peacocks W 74 - 58
2013-01-11 vs Fairfield Stags W 63 - 58
2013-01-13 @ Rider Broncs L 57 - 64
2013-01-17 vs Marist Red Foxes W 72 - 58
2013-01-21 @ Fairfield Stags W 65 - 60
2013-01-25 @ Manhattan Jaspers W 51 - 41
2013-01-27 vs Iona Gaels L 71 - 79
2013-01-31 @ Canisius Golden Griffins L 79 - 91
2013-02-02 @ Niagara Purple Eagles W 89 - 87
2013-02-08 vs Siena Saints W 63 - 51
2013-02-10 @ Marist Red Foxes L 64 - 69
2013-02-14 vs Canisius Golden Griffins W 68 - 64
2013-02-16 @ Siena Saints W 80 - 57
2013-02-23 @ Tennessee State Tigers W 69 - 67
2013-03-01 @ Iona Gaels L 86 - 90
2013-03-03 vs Manhattan Jaspers W 63 - 61
2013-03-09 vs Manhattan Jaspers L 52 - 55
2013-03-19 vs Boston University Terriers W 70 - 63
2013-03-24 vs Kent State Golden Flashes W 73 - 59
2013-03-26 @ East Carolina Pirates L 58 - 70

2013 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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
D. Cormier D. Cormier G 34 35.1 16.4 4.6 2.5 1.8 0.3 1.8 4.2 19.6 85 2.6 3.5 38.9 19.4 77.6 0.47 164.6 41.3
E. Etherly E. Etherly F 30 33.9 15.7 6.5 1.6 1.5 1.0 2.3 4.3 19.6 114 3.8 4.8 43.4 100.0 61.8 0.72 147.9 43.8
R. Olson R. Olson G 35 32.6 12.7 4.4 2.1 1.1 0.2 1.6 4.3 14.6 144 4.1 5.8 39.5 29.5 70.8 1.32 136.9 48.0
A. Winbush A. Winbush F 32 31.7 7.0 6.2 2.4 0.8 0.5 1.7 1.7 13.4 97 3.0 4.1 54.5 25.0 73.3 0.39 181.8 57.3
R.J. Williams R.J. Williams G 17 31.7 4.9 2.5 4.0 1.6 0.2 2.2 1.8 9.2 255 7.7 12.5 36.7 37.5 85.7 2.25 127.0 41.7
J. Brooks J. Brooks F 34 15.7 4.5 3.4 0.2 0.2 0.7 0.9 1.1 7.1 243 6.6 9.1 63.9 0 40.9 1.21 168.6 63.9
J. Latham J. Latham F 32 16.6 4.1 2.2 0.7 0.2 1.2 1.1 0.9 6.4 39 1.2 3.1 46.4 50.0 72.7 0.09 199.5 48.2
T. Hubbard T. Hubbard G 28 10.1 2.9 0.7 0.4 0.5 0.0 0.5 0.6 3.4 9 0.3 1.1 22.2 18.8 0 -0.34 227.8 30.6
J. Jones J. Jones G 33 11.0 2.6 2.2 0.5 0.5 0.5 0.7 0.5 5.1 166 5.5 17.3 50.0 66.7 71.4 0.93 204.0 55.6
F. Rassman F. Rassman F 34 8.3 2.3 1.4 0.1 0.1 0.3 0.5 0.6 3.1 -14 -0.4 -1.7 31.8 0.0 50.0 -0.47 172.6 31.8
E. Laster E. Laster G 27 5.3 0.8 0.4 0.2 0.1 0.0 0.3 0.1 1.1 18 0.7 3.1 25.0 0.0 0.0 0.15 165.7 25.0
C. Onyiuke C. Onyiuke F 15 1.7 0.3 0.3 0.1 0.0 0.1 0.1 0.1 0.6 - - - 100.0 0 0 - 200.0 100.0
L. Wandrusch L. Wandrusch G 17 1.9 0.1 0.3 0.2 0.0 0.0 0.1 0.2 0.4 -7 -0.4 -7.9 0.0 0 0.0 -0.1 25.8 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