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Furman

Also known as: Furman Paladins, Furman
Program History

2015 Team Stats (2 games)

58.0
PPG
66.5
Opp
-8.5
Margin
41.7%
FG%
37.0%
3P%
68.4%
FT%
26.5
RPG
10.0
APG
13.5
TO
-
Est. poss./game
59.7
Adj PPG
68.1
Adj Opp PPG
#304
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†’ 762 (#311) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 828 (#297) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More โ†’ 962 (#225) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -8.9 (#301) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -6.4 (#277) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.226 (#301) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.8 More โ†’ 0.170 (#300) AdjNet -13.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.9 More โ†’ 0.167 (#301) AdjNet -13.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.7 | AdjD 68.1 More โ†’ 0.319 (#304) AdjO 59.7 | AdjD 68.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.6 | AdjD 64.8 More โ†’ 0.405 (#268) AdjO 60.6 | AdjD 64.8
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†’ 0.296 (#286) 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†’ 0.312 (#282) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 142 | GP 31 More โ†’ 831 (#293) RD 142 | GP 31

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Charleston Cougars L 40 - 75
2014-11-19 vs App State Mountaineers W 84 - 65
2014-11-22 vs UC Davis Aggies L 55 - 58
2014-11-26 @ Duke Blue Devils L 54 - 93
2014-12-01 @ Liberty Flames L 52 - 66
2014-12-06 vs Samford Bulldogs W 74 - 64
2014-12-09 @ TCU Horned Frogs L 69 - 80
2014-12-13 @ Gardner-Webb Runnin' Bulldogs L 68 - 74
2014-12-19 @ Florida Gulf Coast Eagles L 78 - 83
2014-12-22 @ Minnesota Golden Gophers L 76 - 86
2014-12-30 vs St. Andrews Knights W 72 - 35
2015-01-03 @ Chattanooga Mocs L 60 - 72
2015-01-05 @ Western Carolina Catamounts L 53 - 72
2015-01-08 vs UNC Greensboro Spartans W 71 - 64
2015-01-10 vs VMI Keydets L 73 - 83
2015-01-15 @ Mercer Bears L 64 - 67
2015-01-17 @ The Citadel Bulldogs W 74 - 62
2015-01-22 @ Wofford Terriers L 49 - 74
2015-01-24 vs Allen Yellow Jackets W 82 - 46
2015-01-29 vs East Tennessee State Buccaneers W 59 - 55
2015-01-31 @ Samford Bulldogs L 58 - 68
2015-02-05 vs Chattanooga Mocs L 71 - 74
2015-02-07 vs Mercer Bears L 68 - 74
2015-02-12 @ VMI Keydets L 59 - 93
2015-02-14 @ East Tennessee State Buccaneers L 59 - 66
2015-02-19 vs The Citadel Bulldogs L 56 - 62
2015-02-22 @ UNC Greensboro Spartans L 49 - 84
2015-02-26 vs Western Carolina Catamounts W 53 - 49
2015-02-28 vs Wofford Terriers L 60 - 62
2015-03-06 @ The Citadel Bulldogs W 73 - 56
2015-03-07 @ Chattanooga Mocs W 69 - 67
2015-03-08 @ Mercer Bears W 52 - 49
2015-03-09 @ Wofford Terriers L 64 - 67

2015 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%
Stephen Croone Stephen Croone G 25 32.2 17.3 4.7 2.5 1.6 0.1 2.5 1.0 22.7 -15 23 -0.7 -0.9 40.0 33.3 70.6 0.69 665.0 46.0
Devin Sibley Devin Sibley G 27 25.5 11.0 2.9 1.1 0.8 0.4 2.1 0.6 13.5 -58 23 -2.5 -4.1 46.7 42.9 80.0 -2.46 860.5 56.7
Daniel Fowler Daniel Fowler G 27 30.1 8.0 4.1 2.4 1.0 0.4 2.3 0.5 13.1 2 23 0.1 0.1 57.1 42.9 100.0 1.47 722.4 67.9
Geoff Beans Geoff Beans F 22 21.3 7.9 2.1 0.4 0.3 0.2 0.5 1.2 9.2 -40 19 -2.1 -4.2 40.7 45.5 100.0 -1.29 307.2 59.3
Kris Acox Kris Acox F 27 27.4 7.4 7.3 0.4 0.6 0.4 1.4 0.4 14.3 -27 23 -1.2 -1.8 63.6 0 70.0 0.59 649.4 63.6
Kendrec Ferrara Kendrec Ferrara F 27 24.1 6.7 3.9 0.8 0.3 1.2 1.7 0.9 10.3 -15 23 -0.7 -1.2 34.8 0.0 100.0 1.07 379.0 34.8
John Davis John Davis G 26 20.5 3.8 1.3 1.3 0.5 0.0 1.2 0.7 5.0 -91 22 -4.1 -9.8 16.7 14.3 0.0 -6.11 258.8 19.4
Larry Wideman Larry Wideman G 26 17.6 3.1 1.7 1.1 0.3 0.2 1.0 0.5 5.0 -66 22 -3.0 -7.4 33.3 28.6 33.3 -2.85 304.1 41.7
William Gates William Gates G 6 12.7 2.3 0.7 0.7 0.0 0.0 0.3 0.3 3.0 - - - - 0.0 0.0 0 -0.52 350.0 0.0
Kevin Chuisseu Kevin Chuisseu F 12 10.1 1.7 3.1 0.2 0.2 0.1 0.8 0.0 4.3 -24 7 -3.4 -14.6 0 0 0 -4.86 0 0
T.K. Hayes T.K. Hayes G 4 2.2 1.5 0.0 0.5 0.0 0.0 0.5 0.0 1.5 - - - - 0 0 0 -2.06 0 0
Gene Langan Gene Langan F 6 3.8 1.0 1.3 0.0 0.0 0.0 0.2 0.0 2.2 - - - - 0 0 0 -2.87 0 0
Aaron O'Neill Aaron O'Neill G 11 5.9 0.9 0.5 0.0 0.1 0.0 0.1 0.0 1.4 -10 8 -1.2 -10.4 0 0 0 -2.34 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