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Virginia Tech Hokies

Also known as: Virginia Tech Hokies
Program History

2017 Team Stats (14 games)

77.6
PPG
81.7
Opp
-4.1
Margin
48.3%
FG%
39.8%
3P%
74.2%
FT%
29.9
RPG
13.6
APG
12.3
TO
-
Est. poss./game
80.3
Adj PPG
69.5
Adj Opp PPG
#48
Scoring Rank

Model Outputs

2016-2017
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†’ 1280 (#39) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1224 (#41) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1043 (#106) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +11.9 (#47) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +9.7 (#59) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.659 (#84) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.4 More โ†’ 0.869 (#49) AdjNet +16.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.7 More โ†’ 0.872 (#49) AdjNet +16.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.3 | AdjD 69.5 More โ†’ 0.727 (#48) AdjO 80.3 | AdjD 69.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.7 | AdjD 73.3 More โ†’ 0.598 (#75) AdjO 77.7 | AdjD 73.3
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†’ 0.760 (#50) 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†’ 0.738 (#55) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 112 | GP 33 More โ†’ 1251 (#34) RD 112 | GP 33

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Maine Black Bears W 80 - 67
2016-11-15 vs High Point Panthers W 99 - 73
2016-11-19 vs VMI Keydets W 88 - 72
2016-11-24 vs New Mexico Lobos W 92 - 72
2016-11-25 vs Texas A&M Aggies L 65 - 68
2016-11-27 @ Nebraska Cornhuskers W 66 - 53
2016-11-30 @ Michigan Wolverines W 73 - 70
2016-12-07 vs Maryland Eastern Shore Hawks W 75 - 59
2016-12-11 vs Ole Miss Rebels W 80 - 75
2016-12-17 vs The Citadel Bulldogs W 113 - 71
2016-12-20 vs Charleston Southern Buccaneers W 87 - 59
2016-12-28 vs UMBC Retrievers W 87 - 70
2016-12-31 vs Duke Blue Devils W 89 - 75
2017-01-04 @ NC State Wolfpack L 78 - 104
2017-01-07 @ Florida State Seminoles L 78 - 93
2017-01-10 vs Syracuse Orange W 83 - 73
2017-01-14 vs Notre Dame Fighting Irish L 71 - 76
2017-01-18 vs Georgia Tech Yellow Jackets W 62 - 61
2017-01-22 @ Clemson Tigers W 82 - 81
2017-01-26 @ North Carolina Tar Heels L 72 - 91
2017-01-29 vs Boston College Eagles W 85 - 79
2017-02-01 @ Virginia Cavaliers L 48 - 71
2017-02-08 @ Miami Hurricanes L 68 - 74
2017-02-12 vs Virginia Cavaliers W 80 - 78
2017-02-14 @ Pittsburgh Panthers W 66 - 63
2017-02-18 @ Louisville Cardinals L 90 - 94
2017-02-21 vs Clemson Tigers W 71 - 70
2017-02-25 @ Boston College Eagles W 91 - 75
2017-02-27 vs Miami Hurricanes W 66 - 61
2017-03-04 vs Wake Forest Demon Deacons L 84 - 89
2017-03-08 vs Wake Forest Demon Deacons W 99 - 90
2017-03-09 @ Florida State Seminoles L 68 - 74
2017-03-16 @ Wisconsin Badgers L 74 - 84

2017 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%
Z. LeDay Z. LeDay F 28 29.5 15.9 7.1 1.2 0.7 1.1 1.8 6.4 17.8 96 28 3.4 5.1 52.0 29.2 75.2 3.38 94.4 53.9
S. Allen S. Allen G 27 28.9 13.3 2.3 3.4 0.6 0.1 2.7 6.0 11.0 54 27 2.0 3.0 52.1 44.1 70.3 1.42 93.9 61.3
A. Hill A. Hill G 28 29.8 11.2 3.3 1.2 0.3 0.1 1.2 5.1 9.9 42 28 1.5 2.2 41.7 29.9 67.3 -0.26 93.3 49.7
C. Clarke C. Clarke G 21 29.0 10.9 7.0 3.3 1.2 0.3 2.0 4.7 16.0 80 22 3.6 5.4 59.2 10.0 68.8 0.73 90.4 59.7
Justin Robinson Justin Robinson - 28 31.9 10.2 3.2 4.8 0.7 0.2 2.6 4.6 12.0 87 28 3.1 4.3 43.8 43.1 75.7 2.71 89.4 53.5
J. Bibbs J. Bibbs G 28 31.5 9.1 2.7 1.6 0.3 0.1 1.0 4.5 8.4 1 28 0.0 0.0 42.9 44.6 61.9 -0.79 94.6 56.0
T. Outlaw T. Outlaw G 28 17.2 6.2 2.6 0.3 0.3 0.3 0.5 3.0 6.3 -11 28 -0.4 -1.0 50.6 47.1 100.0 -0.97 102.6 69.9
J. Hamilton J. Hamilton C 2 9.0 5.5 2.0 0.0 1.0 0.5 0.0 0.0 9.0 - - - - 0 0 100.0 -3.3 625.0 0
K. Sy K. Sy F 27 11.3 4.1 2.7 0.1 0.1 0.5 0.9 1.6 5.1 24 27 0.9 3.3 51.2 0 77.8 0.01 118.2 51.2
M. Galloway M. Galloway G 10 2.4 0.0 0.0 0.1 0.1 0.0 0.0 0.1 0.1 4 12 0.3 5.0 0.0 0.0 0 -2.21 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