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Nicholls Colonels

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

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%
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