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Virginia Tech Hokies

Also known as: Virginia Tech Hokies
Program History

2013 Team Stats (5 games)

63.2
PPG
78.6
Opp
-15.4
Margin
42.0%
FG%
29.4%
3P%
72.2%
FT%
31.2
RPG
8.4
APG
12.2
TO
-
Est. poss./game
70.3
Adj PPG
70.2
Adj Opp PPG
#166
Scoring Rank

Model Outputs

2012-2013
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†’ 1024 (#155) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 979 (#190) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 904 (#298) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +0.5 (#156) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ -1.8 (#193) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.328 (#249) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.4 More โ†’ 0.596 (#137) AdjNet +3.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.4 More โ†’ 0.598 (#136) AdjNet +3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 70.2 More โ†’ 0.501 (#166) AdjO 70.3 | AdjD 70.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.2 | AdjD 70.7 More โ†’ 0.399 (#267) AdjO 66.2 | AdjD 70.7
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†’ 0.476 (#185) 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†’ 0.456 (#194) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 134 | GP 32 More โ†’ 1005 (#172) RD 134 | GP 32

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-10 vs East Tennessee State Buccaneers W 80 - 62
2012-11-12 vs Rhode Island Rams W 69 - 50
2012-11-15 vs VMI Keydets W 95 - 80
2012-11-19 @ UNC Greensboro Spartans W 96 - 87
2012-11-23 vs Appalachian State Mountaineers W 87 - 76
2012-11-27 vs Iowa Hawkeyes W 95 - 79
2012-12-01 vs Oklahoma State Cowboys W 81 - 71
2012-12-08 @ West Virginia Mountaineers L 67 - 68
2012-12-10 vs Mississippi Valley State Delta Devils W 70 - 49
2012-12-15 vs Georgia Southern Eagles L 73 - 78
2012-12-22 vs Bradley Braves W 66 - 65
2012-12-23 vs Colorado State Rams L 52 - 88
2012-12-29 @ BYU Cougars L 71 - 97
2013-01-05 @ Maryland Terrapins L 71 - 94
2013-01-09 vs Boston College Eagles L 75 - 86
2013-01-12 @ Georgia Tech Yellow Jackets W 70 - 65
2013-01-19 vs Wake Forest Demon Deacons W 66 - 65
2013-01-24 vs Virginia Cavaliers L 58 - 74
2013-01-27 @ Clemson Tigers L 70 - 77
2013-01-30 vs Miami Hurricanes L 64 - 73
2013-02-02 @ North Carolina Tar Heels L 60 - 72
2013-02-07 vs Maryland Terrapins L 55 - 60
2013-02-09 vs Georgia Tech Yellow Jackets L 54 - 64
2013-02-12 @ Virginia Cavaliers L 55 - 73
2013-02-16 @ NC State Wolfpack L 86 - 90
2013-02-21 vs Duke Blue Devils L 56 - 88
2013-02-24 vs Florida State Seminoles W 80 - 70
2013-02-27 @ Miami Hurricanes L 58 - 76
2013-03-02 vs Clemson Tigers W 69 - 61
2013-03-05 @ Duke Blue Devils L 57 - 85
2013-03-10 @ Wake Forest Demon Deacons L 79 - 90
2013-03-14 @ NC State Wolfpack L 63 - 80

2013 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%
E. Green E. Green G 32 36.4 25.0 4.0 3.8 1.3 0.2 2.2 5.6 26.6 -16 29 -0.6 -0.6 51.7 43.1 84.1 6.36 187.1 57.9
J. Eddie J. Eddie F 32 30.3 12.3 5.6 1.3 0.3 0.8 2.1 3.6 14.6 -61 29 -2.1 -3.0 43.9 40.4 88.9 -3.23 151.3 53.9
R. Brown R. Brown G 31 27.3 8.3 2.4 2.1 0.6 0.3 2.4 2.7 8.7 9 28 0.3 0.5 38.8 38.5 75.0 2.27 130.2 44.7
C. Raines C. Raines F 32 24.7 6.6 6.4 0.6 0.4 1.1 1.1 2.3 11.6 -56 29 -1.9 -3.3 47.3 0 66.7 -0.46 128.8 47.3
C.J. Barksdale C.J. Barksdale F 31 21.5 5.6 4.7 0.6 0.4 0.5 0.9 1.9 9.1 23 28 0.8 1.6 53.3 0 77.8 0.73 128.8 53.3
M. Wood M. Wood F 25 16.4 3.6 3.8 0.5 0.1 0.4 0.9 1.5 6.0 -56 23 -2.4 -6.2 26.3 25.9 62.5 -2.06 99.9 35.5
M. Rankin M. Rankin G 29 19.1 3.4 1.0 0.9 0.6 0.0 1.1 0.9 3.9 -107 26 -4.1 -9.3 32.0 25.0 75.0 -1.38 183.1 38.0
J. van Zegeren J. van Zegeren F 32 14.6 3.3 3.1 0.1 0.3 0.7 1.1 1.1 5.3 -62 29 -2.1 -6.5 51.4 0 50.0 -2.43 132.8 51.4
W. Johnston W. Johnston G 29 11.1 2.0 0.4 0.3 0.2 0.0 0.2 0.9 1.9 -92 26 -3.5 -13.5 44.0 45.5 0.0 -4.34 112.1 64.0
C. Beyer C. Beyer F 23 9.5 1.8 2.8 0.2 0.2 0.1 0.4 0.4 4.3 -48 19 -2.5 -12.2 44.4 0.0 100.0 -2.09 212.6 44.4
J. Racer J. Racer G 12 2.4 0.7 0.1 0.1 0.0 0.0 0.0 0.0 0.8 -16 8 -2.0 -47.3 0 0 0.0 -2.77 909.1 0
M. Patrick M. Patrick G 11 3.9 0.5 0.5 0.2 0.1 0.0 0.5 0.2 0.5 -3 9 -0.3 -4.9 0.0 0.0 0 -0.41 150.0 0.0
G. Donlon G. Donlon F 9 2.0 0.1 0.1 0.0 0.0 0.0 0.0 0.0 0.2 0 5 0.0 0.0 0 0 0 -0.32 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