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Nicholls Colonels

Also known as: Nicholls Colonels
Program History

2018 Team Stats (3 games)

59.3
PPG
70.7
Opp
-11.3
Margin
37.1%
FG%
28.6%
3P%
62.7%
FT%
33.7
RPG
10.7
APG
16.7
TO
-
Est. poss./game
61.7
Adj PPG
66.7
Adj Opp PPG
#225
Scoring Rank

Model Outputs

2017-2018
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†’ 1083 (#133) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 980 (#185) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1109 (#56) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -5.8 (#229) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ -1.3 (#176) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.429 (#202) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.6 More โ†’ 0.249 (#236) AdjNet -9.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.9 More โ†’ 0.240 (#240) AdjNet -9.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.7 | AdjD 66.7 More โ†’ 0.389 (#225) AdjO 61.7 | AdjD 66.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.4 | AdjD 63.3 More โ†’ 0.525 (#144) AdjO 64.4 | AdjD 63.3
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†’ 0.473 (#175) 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†’ 0.501 (#163) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 30 More โ†’ 1036 (#147) RD 109 | GP 30

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 @ SMU Mustangs L 61 - 68
2017-11-14 vs Spring Hill Badgers W 78 - 70
2017-11-18 vs Jacksonville Dolphins L 61 - 69
2017-11-21 @ LSU Tigers L 50 - 65
2017-11-24 @ Bradley Braves L 65 - 75
2017-11-25 vs Evangel Crusaders W 72 - 55
2017-11-29 vs Southern New Orleans Knights W 83 - 45
2017-12-02 @ Jackson State Lady Tigers W 90 - 64
2017-12-15 @ Mississippi Valley State Devilettes W 62 - 57
2017-12-18 vs Baylor Bears L 43 - 85
2017-12-21 @ Iowa State Cyclones L 47 - 75
2017-12-28 @ Northwestern State Lady Demons W 79 - 63
2017-12-30 @ Incarnate Word Cardinals L 62 - 64
2018-01-03 vs Stephen F. Austin Ladyjacks L 73 - 86
2018-01-06 @ Houston Christian Huskies W 73 - 61
2018-01-10 @ McNeese Cowgirls W 61 - 54
2018-01-13 vs Central Arkansas Sugar Bears L 48 - 69
2018-01-17 @ Texas A&M-Corpus Christi Islanders L 55 - 76
2018-01-24 vs Lamar Cardinals L 61 - 76
2018-01-27 vs SE Louisiana Lady Lions L 57 - 66
2018-02-03 @ LSU New Orleans Privateers W 62 - 61
2018-02-07 vs Abilene Christian Wildcats W 81 - 60
2018-02-10 vs Houston Christian Huskies W 63 - 45
2018-02-14 @ Sam Houston Bearkats W 70 - 65
2018-02-17 @ Central Arkansas Sugar Bears L 42 - 60
2018-02-21 vs McNeese Cowgirls W 63 - 51
2018-02-24 vs LSU New Orleans Privateers W 72 - 48
2018-02-28 vs Northwestern State Lady Demons W 85 - 53
2018-03-03 @ SE Louisiana Lady Lions W 79 - 64
2018-03-09 vs Texas A&M-Corpus Christi Islanders W 61 - 59
2018-03-10 @ Lamar Cardinals W 74 - 68
2018-03-11 @ Stephen F. Austin Ladyjacks W 69 - 65
2018-03-17 @ Mississippi State Bulldogs L 50 - 95

2018 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%
C. Barrios C. Barrios G 5 39.0 18.6 5.6 2.6 1.4 0.6 3.8 13.2 11.8 -8 24 -0.3 -0.4 48.5 47.8 69.2 -0.47 60.0 56.8
T. Williams T. Williams G 5 35.2 16.4 4.8 1.0 1.4 0.2 2.4 14.2 7.2 -11 22 -0.5 -0.6 36.6 35.6 73.7 -1.56 51.7 47.9
T. Charles T. Charles G 5 35.0 7.8 3.2 3.2 3.4 0.2 3.2 11.4 3.2 12 24 0.5 0.6 28.1 15.4 75.0 0.63 33.2 31.6
A. Hamilton A. Hamilton G 5 25.8 3.8 3.4 0.4 0.8 0.0 1.4 3.0 4.0 16 24 0.7 1.2 46.7 0.0 62.5 -0.27 51.3 46.7
D. Collins D. Collins G 5 11.8 2.4 1.0 0.4 0.2 0.0 2.4 3.2 -1.6 -65 24 -2.7 -7.8 31.2 0.0 50.0 -4.83 33.8 31.2
P. Williams P. Williams F 4 9.5 2.0 0.8 0.5 0.2 0.0 1.0 3.8 -1.2 -32 21 -1.5 -7.8 26.7 0.0 0 -1.44 26.7 26.7
K. Heineman K. Heineman G 4 7.2 2.0 0.8 0.2 0.2 0.0 0.5 1.8 1.0 9 23 0.4 2.1 42.9 40.0 0 -0.94 57.1 57.1
B. Washington B. Washington G 5 10.6 1.8 0.8 0.4 0.2 0.2 0.4 1.8 1.2 -23 24 -1.0 -4.1 44.4 0.0 50.0 -1.94 45.5 44.4
B. Wilson B. Wilson G 2 5.5 0.0 0.5 0.5 0.5 0.0 0.0 0.5 1.0 -12 19 -0.6 -5.6 0.0 0 0 -0.77 0.0 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