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Stetson

Also known as: Stetson Hatters
Program History

2018 Team Stats (22 games)

62.4
PPG
63.8
Opp
-1.5
Margin
40.4%
FG%
31.0%
3P%
69.1%
FT%
38.1
RPG
11.1
APG
16.6
TO
-
Est. poss./game
58.9
Adj PPG
63.5
Adj Opp PPG
#220
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†’ 825 (#249) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 961 (#199) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 966 (#210) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -5.1 (#220) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ -6.9 (#242) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.436 (#198) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.4 More โ†’ 0.275 (#228) AdjNet -8.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.6 More โ†’ 0.268 (#229) AdjNet -8.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.9 | AdjD 63.5 More โ†’ 0.397 (#220) AdjO 58.9 | AdjD 63.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.7 | AdjD 61.6 More โ†’ 0.434 (#208) AdjO 58.7 | AdjD 61.6
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†’ 0.343 (#235) 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†’ 0.349 (#233) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 122 | GP 30 More โ†’ 892 (#231) RD 122 | GP 30

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Thomas Night Hawks W 92 - 41
2017-11-12 @ Texas Longhorns L 59 - 95
2017-11-15 vs Chattanooga Mocs W 78 - 67
2017-11-21 vs Wright State Raiders L 59 - 64
2017-11-22 @ Florida Gators W 85 - 71
2017-11-23 @ Providence Friars L 45 - 56
2017-11-27 vs High Point Panthers L 64 - 69
2017-11-29 vs Northern Kentucky Norse W 67 - 56
2017-12-01 vs Webber International Warriors W 67 - 30
2017-12-03 @ SIU Edwardsville Cougars W 65 - 61
2017-12-07 @ Florida State Seminoles L 39 - 84
2017-12-16 @ Western Kentucky Lady Toppers L 58 - 66
2017-12-20 vs Richmond Spiders W 72 - 67
2017-12-21 vs Texas State Bobcats W 61 - 54
2017-12-29 vs Kansas City Roos L 50 - 67
2017-12-30 @ Delaware State Hornets W 58 - 43
2018-01-06 @ Florida Gulf Coast Eagles L 40 - 80
2018-01-13 vs South Carolina Upstate Spartans W 62 - 61
2018-01-15 vs NJIT Highlanders W 73 - 55
2018-01-20 @ Lipscomb Bisons W 59 - 55
2018-01-22 @ Kennesaw State Owls L 49 - 66
2018-01-27 vs North Florida Ospreys W 68 - 55
2018-02-01 @ Jacksonville Dolphins L 63 - 73
2018-02-03 @ North Florida Ospreys W 68 - 51
2018-02-07 vs Jacksonville Dolphins L 54 - 61
2018-02-10 @ NJIT Highlanders W 72 - 53
2018-02-12 @ South Carolina Upstate Spartans L 64 - 69
2018-02-17 vs Kennesaw State Owls W 96 - 53
2018-02-19 vs Lipscomb Bisons W 91 - 71
2018-02-24 vs Florida Gulf Coast Eagles L 60 - 74
2018-03-02 vs North Florida Ospreys L 55 - 63
2018-03-15 @ South Alabama Jaguars L 33 - 49

2018 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%
B. Chambers B. Chambers G 22 35.8 16.2 7.1 1.9 0.9 0.1 3.2 14.4 8.5 -6 25 -0.2 -0.3 38.8 30.4 75.2 3.03 48.8 43.2
K. Colclough K. Colclough F 10 33.1 12.6 5.5 1.4 0.4 0.0 3.3 11.2 5.4 -55 12 -4.6 -6.1 48.2 11.1 73.9 0.4 51.6 48.7
M. Beach M. Beach G 22 37.7 12.3 5.0 3.5 2.4 0.2 3.1 10.5 9.7 -49 25 -2.0 -2.3 36.4 38.1 69.9 -0.26 49.6 44.4
M. Pruitt M. Pruitt F 22 18.4 8.2 5.4 0.1 0.4 0.2 1.4 5.9 7.1 -19 25 -0.8 -1.9 56.2 100.0 63.5 -1.93 58.9 56.5
S. Meertens S. Meertens G 18 28.0 7.1 3.9 1.5 0.8 0.2 2.9 6.9 3.7 -40 20 -2.0 -3.2 39.2 33.3 60.5 -3.95 44.1 40.4
S. Wagner S. Wagner G 22 21.6 5.0 1.7 0.9 0.6 0.2 1.1 5.7 1.5 -25 25 -1.0 -1.9 30.2 31.2 91.7 -2.07 42.3 39.7
J. Tully J. Tully F 21 14.1 4.2 2.8 0.9 0.1 1.1 1.3 4.0 3.9 26 22 1.2 3.5 41.7 14.3 51.5 0.88 45.2 42.9
M. Vincent M. Vincent F 22 19.3 3.6 5.0 1.5 0.6 1.5 1.4 2.5 8.2 -38 25 -1.5 -3.3 51.8 0 88.0 -3.49 59.7 51.8
K. Lentz K. Lentz F 22 16.0 1.5 1.6 0.5 0.2 0.1 0.8 2.1 1.0 -11 24 -0.5 -1.2 23.9 11.8 50.0 -2.14 30.6 26.1
R. Francis R. Francis C 6 3.3 0.0 1.0 0.2 0.0 0.3 0.3 0.0 1.2 - - - - 0 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