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Nicholls

Also known as: Nicholls Colonels
Program History

2017 Team Stats (1 games)

68.0
PPG
64.0
Opp
+4.0
Margin
44.7%
FG%
33.3%
3P%
82.6%
FT%
30.0
RPG
10.0
APG
21.0
TO
-
Est. poss./game
69.3
Adj PPG
81.0
Adj Opp PPG
#319
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 โ†’ 786 (#300) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 895 (#248) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 941 (#259) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -12.5 (#319) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -11.7 (#320) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.200 (#319) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.3 More โ†’ 0.119 (#319) AdjNet -17.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.6 More โ†’ 0.116 (#319) AdjNet -17.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.3 | AdjD 81.0 More โ†’ 0.258 (#319) AdjO 69.3 | AdjD 81.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.2 | AdjD 77.5 More โ†’ 0.340 (#316) AdjO 70.2 | AdjD 77.5
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 โ†’ 0.237 (#315) 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†’ 0.252 (#316) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 148 | GP 27 More โ†’ 837 (#286) RD 148 | GP 27

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 @ Boston College Eagles W 79 - 73
2016-11-14 @ UCF Knights L 56 - 80
2016-11-17 vs Mississippi College Choctaws W 86 - 55
2016-11-20 @ San Diego Toreros L 72 - 81
2016-11-22 @ New Mexico State Aggies L 74 - 86
2016-11-25 @ Bethune-Cookman Wildcats W 76 - 69
2016-11-27 @ Samford Bulldogs W 106 - 103
2016-12-01 @ Louisiana Ragin' Cajuns L 69 - 101
2016-12-08 @ Florida State Seminoles L 63 - 118
2016-12-11 vs Thomas Night Hawks W 95 - 63
2016-12-14 @ Texas Tech Red Raiders L 46 - 89
2016-12-18 vs Mobile Rams W 83 - 66
2016-12-28 vs Spring Hill Badgers W 88 - 64
2016-12-31 vs Incarnate Word Cardinals W 94 - 84
2017-01-02 vs Texas A&M-Corpus Christi Islanders W 68 - 64
2017-01-07 @ Sam Houston Bearkats L 61 - 74
2017-01-12 @ Northwestern State Demons L 81 - 86
2017-01-14 @ Stephen F. Austin Lumberjacks L 60 - 80
2017-01-19 vs Abilene Christian Wildcats W 62 - 59
2017-01-21 vs Lamar Cardinals L 76 - 87
2017-01-26 @ Houston Christian Huskies L 80 - 83
2017-01-28 vs McNeese Cowboys W 78 - 74
2017-02-01 @ SE Louisiana Lions L 44 - 72
2017-02-04 @ LSU New Orleans Privateers L 69 - 78
2017-02-11 @ Central Arkansas Bears L 83 - 106
2017-02-16 vs Central Arkansas Bears W 96 - 89
2017-02-18 vs Northwestern State Demons L 78 - 80
2017-02-23 @ Incarnate Word Cardinals W 77 - 68
2017-02-25 vs SE Louisiana Lions W 77 - 71
2017-03-02 @ Lamar Cardinals L 75 - 87
2017-03-04 vs LSU New Orleans Privateers L 64 - 74

2017 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Harris Dar Harris Dar G 8 21.5 17.5 2.5 1.6 1.4 0.2 3.4 4.1 15.8 35 10 3.5 6.8 39.4 45.5 78.9 1.1 169.2 47.0
Ja'Dante' Frye Ja'Dante' Frye F 10 33.5 12.4 5.6 1.3 0.8 0.0 1.1 4.4 14.6 -92 24 -3.8 -4.8 40.9 41.2 70.6 -1.43 120.4 48.9
Johnathan Bell Johnathan Bell G 10 27.4 10.7 5.0 1.7 1.5 0.4 1.2 1.9 16.2 -78 24 -3.2 -4.2 26.3 0.0 81.8 0.09 186.5 26.3
Jahvaughn Powell Jahvaughn Powell G 10 27.8 9.7 3.1 3.4 2.4 0.1 3.0 4.0 11.7 -115 24 -4.8 -6.3 42.5 44.4 100.0 -2.53 114.9 57.5
Stevie Repichowski Stevie Repichowski G 10 22.6 6.8 2.9 0.3 0.6 0.0 0.9 3.6 6.1 -86 24 -3.6 -6.1 38.9 36.7 100.0 -3.11 91.1 54.2
Lafayette Rutledge Lafayette Rutledge G 6 16.7 6.8 0.3 0.2 0.3 0.0 0.5 1.5 5.7 - - - - 33.3 28.6 0.0 - 217.2 44.4
Liam Thomas Liam Thomas C 10 26.5 6.7 5.7 1.8 0.8 3.6 2.5 2.1 14.0 -11 24 -0.5 -0.7 71.4 0 76.9 1.34 125.4 71.4
Tre O'Neal Tre O'Neal G 6 17.2 3.2 1.5 1.8 0.7 0.0 0.7 0.0 6.5 - - - - 0 0 0 - 0 0
Zach Young Zach Young G 8 7.8 2.1 0.2 0.6 0.1 0.0 0.6 1.0 1.5 - - - - 25.0 25.0 80.0 - 68.5 31.2
Adam Ward Adam Ward F 10 12.1 1.5 1.6 0.6 0.0 1.0 0.4 0.1 4.2 -116 24 -4.8 -17.2 100.0 0 0.0 -6.55 271.7 100.0
Brett Weaver Brett Weaver - 5 4.0 1.0 0.0 0.0 0.4 0.0 0.6 0.4 0.4 - - - - 50.0 0.0 0.0 - 102.5 50.0
Luka Kamber Luka Kamber F 5 8.8 0.4 2.2 0.0 0.4 0.0 0.8 0.2 2.0 - - - - 0.0 0 0 - 100.0 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