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UL Monroe

Also known as: UL Monroe Warhawks
Program History

2016 Team Stats (5 games)

69.4
PPG
76.8
Opp
-7.4
Margin
47.0%
FG%
36.0%
3P%
68.4%
FT%
32.4
RPG
15.6
APG
16.0
TO
-
Est. poss./game
70.3
Adj PPG
68.4
Adj Opp PPG
#141
Scoring Rank

Model Outputs

2015-2016
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†’ 1136 (#99) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1074 (#118) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1097 (#59) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +1.8 (#141) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +3.9 (#117) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.552 (#145) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.9 More โ†’ 0.524 (#154) AdjNet +0.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.8 More โ†’ 0.524 (#154) AdjNet +0.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 68.4 More โ†’ 0.543 (#141) AdjO 70.3 | AdjD 68.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.0 | AdjD 67.9 More โ†’ 0.592 (#87) AdjO 72.0 | AdjD 67.9
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†’ 0.609 (#117) 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†’ 0.618 (#112) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 116 | GP 32 More โ†’ 1097 (#109) RD 116 | GP 32

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs McMurry War Hawks W 88 - 43
2015-11-15 @ Minnesota Golden Gophers L 56 - 67
2015-11-19 @ Northwestern State Demons W 80 - 64
2015-11-28 @ Houston Cougars L 64 - 76
2015-11-30 vs Chattanooga Mocs W 64 - 54
2015-12-03 vs Louisiana Ragin' Cajuns W 81 - 70
2015-12-10 @ Kent State Golden Flashes L 62 - 73
2015-12-12 @ Penn State Nittany Lions L 50 - 54
2015-12-13 @ West Virginia Mountaineers L 58 - 100
2015-12-18 vs Central Baptist Mustangs W 101 - 76
2015-12-22 @ Canisius Golden Griffins L 96 - 108
2015-12-23 @ Hampton Pirates L 64 - 75
2015-12-31 vs App State Mountaineers W 72 - 56
2016-01-07 @ Arkansas State Red Wolves L 65 - 68
2016-01-09 @ Little Rock Trojans L 57 - 58
2016-01-14 @ Georgia State Panthers L 51 - 65
2016-01-16 @ Georgia Southern Eagles L 51 - 66
2016-01-21 vs Troy Trojans W 85 - 74
2016-01-23 vs South Alabama Jaguars W 100 - 68
2016-01-28 vs UT Arlington Mavericks W 99 - 88
2016-01-30 vs Texas State Bobcats W 72 - 59
2016-02-02 @ Louisiana Ragin' Cajuns L 65 - 72
2016-02-06 @ App State Mountaineers W 91 - 90
2016-02-11 vs Little Rock Trojans W 86 - 82
2016-02-13 vs Arkansas State Red Wolves W 78 - 73
2016-02-18 @ Texas State Bobcats W 76 - 57
2016-02-20 @ UT Arlington Mavericks W 64 - 61
2016-02-25 @ South Alabama Jaguars W 66 - 59
2016-02-27 @ Troy Trojans W 66 - 51
2016-03-03 vs Georgia Southern Eagles W 83 - 76
2016-03-05 vs Georgia State Panthers W 91 - 78
2016-03-12 vs UT Arlington Mavericks W 82 - 71
2016-03-13 @ Little Rock Trojans L 50 - 70
2016-03-15 @ Furman Paladins L 57 - 58

2016 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%
Majok Deng Majok Deng F 27 36.3 17.9 7.0 1.9 0.6 1.6 2.3 3.2 23.6 99 28 3.5 4.1 54.7 43.3 84.4 2.08 241.8 62.2
Justin Roberson Justin Roberson G 30 33.5 14.2 4.4 2.7 1.6 0.1 2.2 2.5 18.3 79 31 2.5 3.2 51.3 45.5 67.7 0.85 237.6 57.9
Nick Coppola Nick Coppola G 30 36.9 11.1 2.8 5.1 0.8 0.0 2.1 2.3 15.4 76 31 2.5 2.8 45.6 43.8 46.7 1.49 222.5 55.9
Jamaal Samuel Jamaal Samuel F 30 25.3 9.3 4.6 0.5 0.4 0.7 1.2 1.8 12.4 72 31 2.3 3.8 52.7 50.0 75.0 1.22 238.4 60.0
DeMondre Harvey DeMondre Harvey F 30 24.0 7.4 5.4 1.0 0.5 0.6 1.2 0.9 12.8 69 31 2.2 3.7 65.4 0 64.7 0.87 331.5 65.4
Travis Munnings Travis Munnings F 30 26.6 7.1 5.5 1.4 0.9 0.3 1.9 1.2 12.2 9 31 0.3 0.5 48.6 25.0 76.2 -1.21 239.6 51.4
Prince Cooper Prince Cooper G 15 8.9 2.9 1.6 0.5 0.0 0.0 0.9 0.3 3.7 -10 15 -0.7 -3.3 25.0 0 0 -0.09 537.5 25.0
Marcus Washington Marcus Washington G 17 10.8 2.9 1.4 0.8 0.3 0.1 0.6 0.4 4.4 -43 17 -2.5 -11.6 42.9 0.0 69.2 -5.78 196.5 42.9
Mack Foster Mack Foster G 26 12.7 2.2 1.2 0.6 0.6 0.0 0.5 0.5 3.7 -22 28 -0.8 -2.5 23.1 0.0 100.0 -2.43 202.5 23.1
Roderick Taylor Roderick Taylor F 10 5.9 1.5 1.2 0.0 0.2 0.0 0.1 0.3 2.5 9 10 0.9 7.1 33.3 0 0 -0.44 250.0 33.3
Lance Richard Lance Richard G 9 3.4 1.3 0.0 0.1 0.2 0.0 0.3 0.2 1.1 4 9 0.4 5.8 0.0 0.0 0 -0.16 300.0 0.0
Wade Martin Wade Martin G 11 3.8 0.5 0.8 0.1 0.0 0.0 0.5 0.4 0.5 -12 10 -1.2 -12.5 0.0 0.0 0 -2.62 62.5 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