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Florida State

Also known as: Florida State Seminoles, Florida State
Program History

2016 Team Stats (10 games)

77.2
PPG
75.1
Opp
+2.1
Margin
47.2%
FG%
39.4%
3P%
62.9%
FT%
35.8
RPG
12.6
APG
12.3
TO
-
Est. poss./game
79.9
Adj PPG
69.7
Adj Opp PPG
#51
Scoring Rank

Model Outputs

2015-2016
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†’ 1158 (#90) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1154 (#77) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1035 (#120) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +11.2 (#46) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +11.3 (#51) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.647 (#95) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.1 More โ†’ 0.865 (#52) AdjNet +16.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.3 More โ†’ 0.868 (#51) AdjNet +16.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.9 | AdjD 69.7 More โ†’ 0.716 (#51) AdjO 79.9 | AdjD 69.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.7 | AdjD 71.6 More โ†’ 0.634 (#61) AdjO 77.7 | AdjD 71.6
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†’ 0.731 (#56) 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†’ 0.716 (#58) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 34 More โ†’ 1136 (#86) RD 110 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-15 vs Nicholls Colonels W 109 - 62
2015-11-17 vs Jacksonville Dolphins W 98 - 79
2015-11-20 vs Hofstra Pride L 77 - 82
2015-11-21 @ DePaul Blue Demons W 83 - 67
2015-11-23 vs Ohio Bobcats W 90 - 81
2015-12-02 @ Iowa Hawkeyes L 75 - 78
2015-12-06 vs VCU Rams W 76 - 71
2015-12-13 vs SE Louisiana Lions W 75 - 58
2015-12-16 vs Mississippi State Bulldogs W 90 - 66
2015-12-19 vs Florida Atlantic Owls W 64 - 59
2015-12-21 vs Charleston Southern Buccaneers W 75 - 64
2015-12-29 @ Florida Gators W 73 - 71
2016-01-02 @ Clemson Tigers L 75 - 84
2016-01-04 vs North Carolina Tar Heels L 90 - 106
2016-01-09 @ Miami Hurricanes L 59 - 72
2016-01-13 @ NC State Wolfpack W 85 - 78
2016-01-17 vs Virginia Cavaliers W 69 - 62
2016-01-20 @ Louisville Cardinals L 65 - 84
2016-01-23 vs Pittsburgh Panthers L 72 - 74
2016-01-26 @ Boston College Eagles W 72 - 62
2016-01-30 vs Clemson Tigers W 76 - 65
2016-02-01 vs NC State Wolfpack W 77 - 73
2016-02-06 @ Wake Forest Demon Deacons W 91 - 71
2016-02-11 @ Syracuse Orange L 72 - 85
2016-02-14 vs Miami Hurricanes L 65 - 67
2016-02-17 vs Georgia Tech Yellow Jackets L 80 - 86
2016-02-20 @ Virginia Tech Hokies L 73 - 83
2016-02-25 @ Duke Blue Devils L 65 - 80
2016-02-27 vs Notre Dame Fighting Irish W 77 - 56
2016-03-05 vs Syracuse Orange W 78 - 73
2016-03-08 vs Boston College Eagles W 88 - 66
2016-03-09 @ Virginia Tech Hokies L 85 - 96
2016-03-15 vs Davidson Wildcats W 84 - 74
2016-03-17 @ Valparaiso Beacons L 69 - 81

2016 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%
Dwayne Bacon Dwayne Bacon - 29 29.0 16.1 5.7 1.5 1.0 0.0 2.3 5.8 16.3 63 26 2.4 3.7 45.0 30.4 76.8 2.71 120.6 49.1
Malik Beasley Malik Beasley - 29 29.5 15.7 5.6 1.5 0.9 0.2 1.7 5.2 17.0 68 26 2.6 3.9 45.4 34.0 77.8 1.93 129.2 51.3
Xavier Rathan-Mayes Xavier Rathan-Mayes G 28 29.3 11.8 3.1 4.5 0.9 0.0 2.6 4.4 13.3 55 25 2.2 3.4 42.3 30.2 78.4 -0.14 118.1 48.8
Devon Bookert Devon Bookert G 28 26.3 9.4 2.6 2.5 1.6 0.1 1.4 3.9 10.8 52 25 2.1 3.6 49.1 48.4 54.2 2.29 108.7 63.2
Boris Bojanovsky Boris Bojanovsky C 29 17.7 6.1 4.3 0.4 0.6 1.8 1.2 1.9 10.1 81 26 3.1 7.7 56.4 0.0 71.4 2.42 131.5 56.4
Jarquez Smith Jarquez Smith F 29 14.4 5.3 3.6 0.2 0.4 1.0 1.1 2.1 7.4 -12 26 -0.5 -1.5 55.7 28.6 63.2 -2.28 111.7 57.4
Terance Mann Terance Mann - 29 16.4 4.7 3.7 0.8 0.5 0.2 0.7 1.8 7.4 55 26 2.1 5.5 57.7 42.9 33.3 2.25 111.0 60.6
Phil Cofer Phil Cofer F 11 12.0 3.8 2.0 0.2 0.4 0.3 0.6 0.6 5.4 9 6 1.5 7.9 85.7 0.0 75.0 -1.17 239.7 85.7
Benji Bell Benji Bell G 28 10.3 3.6 1.1 0.9 0.3 0.0 0.7 1.8 3.5 4 26 0.2 0.7 38.8 50.0 46.2 -0.3 84.4 52.0
Montay Brandon Montay Brandon G 28 20.4 3.0 3.0 1.0 0.5 0.2 0.9 1.0 6.0 2 26 0.1 0.2 41.4 16.7 36.4 -2.05 109.9 43.1
Michael Saxton Michael Saxton G 8 3.1 1.6 1.0 0.0 0.0 0.0 0.0 0.9 1.8 18 7 2.6 43.3 42.9 50.0 0 0.56 92.9 64.3
Christ Koumadje Christ Koumadje C 23 6.3 1.4 1.4 0.0 0.0 0.7 0.4 0.5 2.7 0 18 0.0 0.0 72.7 0 42.9 -1.65 117.2 72.7

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