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Stetson

Also known as: Stetson Hatters
Program History

2015 Team Stats (1 games)

96.0
PPG
85.0
Opp
+11.0
Margin
53.8%
FG%
50.0%
3P%
71.4%
FT%
33.0
RPG
24.0
APG
10.0
TO
-
Est. poss./game
60.6
Adj PPG
74.3
Adj Opp PPG
#337
Scoring Rank

Model Outputs

2014-2015
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†’ 652 (#342) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 721 (#337) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 887 (#317) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -14.6 (#337) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -15.4 (#343) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.171 (#322) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.6 More โ†’ 0.076 (#328) AdjNet -21.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -21.8 More โ†’ 0.075 (#328) AdjNet -21.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.6 | AdjD 74.3 More โ†’ 0.224 (#337) AdjO 60.6 | AdjD 74.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.9 | AdjD 73.0 More โ†’ 0.286 (#341) AdjO 62.9 | AdjD 73.0
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†’ 0.163 (#340) 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†’ 0.172 (#340) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 164 | GP 28 More โ†’ 719 (#336) RD 164 | GP 28

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Edward Waters Tigers W 75 - 61
2014-11-16 @ UCF Knights L 55 - 64
2014-11-18 vs Florida International Panthers L 52 - 53
2014-11-20 vs Palm Beach Atlantic Sailfish W 96 - 85
2014-11-24 @ New Mexico State Aggies L 68 - 88
2014-11-26 @ Wyoming Cowboys L 41 - 65
2014-11-28 @ Northern Colorado Bears L 62 - 82
2014-11-29 vs Florida A&M Rattlers W 62 - 50
2014-12-03 vs Purdue Fort Wayne Mastodons L 76 - 87
2014-12-06 @ Davidson Wildcats L 59 - 90
2014-12-16 @ Florida Atlantic Owls L 69 - 79
2014-12-18 vs Georgia Southern Eagles L 67 - 76
2014-12-22 @ Florida State Seminoles L 59 - 63
2014-12-30 vs Florida Tech Panthers W 77 - 61
2015-01-03 vs Florida A&M Rattlers W 65 - 60
2015-01-10 @ Florida Gulf Coast Eagles L 50 - 72
2015-01-14 @ Jacksonville Dolphins L 69 - 71
2015-01-17 vs North Florida Ospreys L 65 - 80
2015-01-22 @ Kennesaw State Owls L 82 - 88
2015-01-24 @ South Carolina Upstate Spartans L 67 - 91
2015-01-29 vs Northern Kentucky Norse W 85 - 75
2015-01-31 vs Lipscomb Bisons W 75 - 73
2015-02-03 @ Bethune-Cookman Wildcats W 77 - 72
2015-02-07 vs Florida Gulf Coast Eagles L 51 - 67
2015-02-12 @ Lipscomb Bisons L 85 - 87
2015-02-14 @ Northern Kentucky Norse L 57 - 82
2015-02-19 vs South Carolina Upstate Spartans L 54 - 73
2015-02-21 vs Kennesaw State Owls L 56 - 61
2015-02-25 vs Jacksonville Dolphins W 70 - 67
2015-02-28 @ North Florida Ospreys L 71 - 86
2015-03-03 @ North Florida Ospreys L 67 - 81

2015 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%
Kentwan Smith Kentwan Smith F 27 28.6 13.8 6.9 1.1 0.6 1.6 2.5 1.4 20.0 -90 19 -4.7 -6.6 41.0 30.8 50.0 0.1 466.4 46.2
Divine Myles Divine Myles G 27 29.9 11.1 3.6 3.2 1.1 0.2 1.7 1.1 16.5 -72 19 -3.8 -5.3 36.7 70.0 78.6 0.69 416.2 48.3
Brian Pegg Brian Pegg F 25 25.4 9.9 5.4 0.8 0.8 0.1 1.3 0.8 14.9 -111 16 -6.9 -11.9 50.0 0 66.7 -2.53 581.6 50.0
Grant Lozoya Grant Lozoya G 27 22.9 9.4 3.4 1.1 0.6 0.0 1.4 1.1 12.0 -54 19 -2.8 -5.0 23.3 17.6 100.0 0.47 417.2 28.3
Angel Rivera Angel Rivera G 27 24.1 7.7 2.4 4.0 0.6 0.0 1.6 0.7 12.4 -123 19 -6.5 -11.8 45.0 41.7 0.0 -4.54 511.3 57.5
Cameron Harvey Cameron Harvey NA 27 18.3 4.7 1.2 0.5 0.1 0.0 0.7 0.6 5.2 -83 19 -4.4 -9.5 66.7 80.0 75.0 -2.08 375.9 93.3
Jonathan Joseph Jonathan Joseph F 12 14.4 4.6 2.3 0.4 0.2 0.4 1.4 0.4 6.2 -19 6 -3.2 -9.8 40.0 0.0 75.0 -2.76 406.8 40.0
Kyle Sikora Kyle Sikora C 24 18.0 3.2 3.4 0.1 0.2 0.5 0.9 0.5 6.0 -82 16 -5.1 -11.7 53.8 0 50.0 -5.55 246.2 53.8
B.J. Glasford B.J. Glasford G 26 16.5 3.0 1.3 1.2 0.4 0.1 1.0 0.3 4.6 - - - - 33.3 25.0 0 - 427.8 38.9
Wyatt Sikora Wyatt Sikora C 27 11.4 3.0 2.0 0.2 0.1 0.6 0.4 0.4 5.0 -6 19 -0.3 -1.2 45.5 100.0 75.0 0.79 282.4 50.0
Corey Mendez Corey Mendez G 9 9.1 1.2 0.6 0.7 0.0 0.1 0.9 0.3 1.3 - - - - 33.3 33.3 100.0 -1.05 141.8 50.0

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