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Virginia Tech Hokies

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Also known as: Virginia Tech Hokies
Program History

2013 Team Stats (8 games)

45.9
PPG
63.9
Opp
-18.0
Margin
33.6%
FG%
27.4%
3P%
52.4%
FT%
29.4
RPG
10.1
APG
18.1
TO
-
Est. poss./game
52.1
Adj PPG
48.0
Adj Opp PPG
#109
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 → 1031 (#142) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 994 (#173) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +72 elo More → 928 (#261) HCA +72 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +5.3 (#101) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +3.7 (#114) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.186 (#283) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +6.5 More → 0.678 (#115) AdjNet +6.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +6.6 More → 0.683 (#115) AdjNet +6.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 52.1 | AdjD 48.0 More → 0.592 (#109) AdjO 52.1 | AdjD 48.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 50.2 | AdjD 52.4 More → 0.450 (#200) AdjO 50.2 | AdjD 52.4
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 → 0.548 (#139) 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 → 0.520 (#151) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 160 | GP 30 More → 985 (#180) RD 160 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Old Dominion Monarchs L 35 - 55
2012-11-14 vs App State Mountaineers W 71 - 68
2012-11-18 @ Michigan State Spartans L 29 - 57
2012-11-25 vs George Washington Revolutionaries W 50 - 31
2012-11-28 vs Wisconsin Badgers W 47 - 38
2012-12-01 vs Longwood Lancers W 73 - 58
2012-12-05 @ Richmond Spiders L 51 - 65
2012-12-12 vs Penn State Lady Lions L 41 - 60
2012-12-16 vs Florida Gulf Coast Eagles L 56 - 63
2012-12-22 vs Wake Forest Demon Deacons W 73 - 52
2012-12-28 vs North Carolina A&T Aggies W 58 - 39
2012-12-30 vs Hampton Lady Pirates W 55 - 45
2013-01-03 @ Virginia Cavaliers L 48 - 52
2013-01-06 @ North Carolina Tar Heels L 45 - 48
2013-01-10 vs Boston College Eagles L 46 - 53
2013-01-13 vs Maryland Terrapins L 45 - 74
2013-01-16 @ Duke Blue Devils L 26 - 58
2013-01-24 @ NC State Wolfpack L 39 - 58
2013-01-27 @ Florida State Seminoles L 56 - 70
2013-01-31 vs Clemson Tigers L 37 - 47
2013-02-03 @ Miami Hurricanes L 42 - 68
2013-02-08 @ Georgia Tech Yellow Jackets W 63 - 61
2013-02-10 vs Virginia Cavaliers L 47 - 50
2013-02-14 vs Duke Blue Devils L 33 - 77
2013-02-17 @ Clemson Tigers L 46 - 51
2013-02-22 vs North Carolina Tar Heels L 50 - 72
2013-02-24 vs Florida State Seminoles W 71 - 52
2013-02-28 @ Wake Forest Demon Deacons W 62 - 52
2013-03-03 vs Miami Hurricanes L 46 - 64
2013-03-07 @ Miami Hurricanes L 39 - 45

2013 Roster

Minutes by Position

Not enough player minute data to plot.

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%
M. Tellier M. Tellier G 8 0.0 14.0 4.1 2.9 1.6 0.0 3.9 13.0 5.8 -8 25 -0.3 -0.4 40.4 36.4 62.5 6.71 47.4 44.2
U. Ugoka U. Ugoka F 4 0.0 10.2 6.2 0.2 0.5 0.2 1.8 15.0 0.8 -53 14 -3.8 -6.0 28.3 0.0 50.0 -0.79 31.0 28.3
A. Kiss-Rusk A. Kiss-Rusk NA 1 0.0 8.0 3.0 0.0 1.0 3.0 1.0 14.0 0.0 -74 20 -3.7 -16.5 21.4 50.0 0 -3.57 28.6 28.6
A. Fenyn A. Fenyn NA 6 0.0 4.8 3.7 1.7 0.5 0.3 3.3 4.3 3.3 -75 25 -3.0 -4.7 38.5 33.3 83.3 0.41 50.6 46.2
L. Evans L. Evans G 8 0.0 3.0 2.2 0.9 1.1 0.4 2.4 4.4 0.9 -66 25 -2.6 -4.2 34.3 0.0 0 -0.39 34.3 34.3
T. Campbell T. Campbell F 3 0.0 2.7 3.0 0.3 0.0 1.7 0.7 4.0 3.0 -15 15 -1.0 -2.0 33.3 0 0 1.04 33.3 33.3
P. Hadley P. Hadley F 4 0.0 2.5 2.2 0.2 0.2 0.5 0.8 3.5 1.5 -40 25 -1.6 -4.2 28.6 0.0 100.0 -0.19 33.6 28.6
A. Wilson A. Wilson NA 3 0.0 2.0 4.0 2.0 0.7 0.0 2.0 6.3 0.3 -112 25 -4.5 -10.8 15.8 0.0 0.0 -2.43 15.1 15.8
N. Evans N. Evans F 1 0.0 2.0 6.0 0.0 0.0 0.0 1.0 5.0 2.0 -71 24 -3.0 -9.3 20.0 0 0 -2.57 20.0 20.0
H. Young H. Young F 2 0.0 1.0 5.5 1.0 0.5 0.5 4.0 2.0 2.5 -94 17 -5.5 -14.6 25.0 0.0 0 -3.67 25.0 25.0

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