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VMI

Also known as: VMI Keydets, VMI
Program History
Coach: Dan Earl

2018 Team Stats (28 games)

65.8
PPG
74.1
Opp
-8.3
Margin
40.2%
FG%
32.3%
3P%
73.1%
FT%
34.2
RPG
11.9
APG
14.5
TO
-
Est. poss./game
60.7
Adj PPG
73.8
Adj Opp PPG
#333
Scoring Rank

Model Outputs

2017-2018
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†’ 705 (#322) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 791 (#313) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 885 (#317) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -13.9 (#333) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ -14.2 (#337) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.135 (#339) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -19.7 More โ†’ 0.093 (#333) AdjNet -19.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -19.9 More โ†’ 0.091 (#333) AdjNet -19.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.7 | AdjD 73.8 More โ†’ 0.232 (#333) AdjO 60.7 | AdjD 73.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.8 | AdjD 72.4 More โ†’ 0.278 (#341) AdjO 61.8 | AdjD 72.4
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 โ†’ 0.194 (#329) 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†’ 0.202 (#329) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 153 | GP 28 More โ†’ 792 (#310) RD 153 | GP 28

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 @ NC State Wolfpack L 67 - 102
2017-11-14 @ Duquesne Dukes L 61 - 77
2017-11-18 vs Presbyterian Blue Hose W 78 - 58
2017-11-21 vs Ohio Valley Fighting Scots W 81 - 66
2017-11-25 @ American University Eagles L 64 - 69
2017-11-28 @ Charleston Southern Buccaneers W 76 - 68
2017-12-02 vs Radford Highlanders L 50 - 63
2017-12-05 @ Davidson Wildcats L 51 - 74
2017-12-09 vs Longwood Lancers W 81 - 70
2017-12-14 vs Southern Wesleyan Warriors W 90 - 52
2017-12-22 @ VCU Rams L 65 - 75
2017-12-30 vs Furman Paladins L 57 - 87
2018-01-04 @ Wofford Terriers L 53 - 92
2018-01-06 vs UNC Greensboro Spartans L 61 - 63
2018-01-13 @ East Tennessee State Buccaneers L 48 - 89
2018-01-15 @ Western Carolina Catamounts L 58 - 65
2018-01-18 vs Mercer Bears L 56 - 62
2018-01-20 vs The Citadel Bulldogs W 88 - 81
2018-01-24 vs Wofford Terriers L 46 - 63
2018-01-27 @ Chattanooga Mocs W 70 - 69
2018-01-29 @ Samford Bulldogs L 79 - 93
2018-02-01 @ UNC Greensboro Spartans L 51 - 73
2018-02-08 vs Western Carolina Catamounts L 60 - 72
2018-02-10 vs East Tennessee State Buccaneers L 56 - 70
2018-02-15 @ Mercer Bears L 58 - 82
2018-02-17 @ The Citadel Bulldogs W 75 - 71
2018-02-20 @ Furman Paladins L 54 - 76
2018-02-23 vs Samford Bulldogs L 82 - 89
2018-02-25 vs Chattanooga Mocs W 68 - 65
2018-03-02 @ The Citadel Bulldogs L 70 - 78

2018 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%
Bubba Parham Bubba Parham G 28 30.2 15.0 3.4 2.5 0.8 0.0 2.6 12.3 6.9 - - - - 41.0 34.4 77.9 - 53.8 49.1
Austin Vereen Austin Vereen G 28 27.1 10.6 4.8 1.1 1.1 0.4 1.3 8.8 7.8 - - - - 36.4 34.4 79.2 - 52.9 47.8
Jordan Ratliffe Jordan Ratliffe G 25 17.8 7.5 2.4 0.8 0.8 0.0 1.4 7.2 3.0 - - - - 39.1 26.8 74.3 - 48.4 45.3
Keith Smith Keith Smith G 27 26.8 7.1 2.3 3.1 1.4 0.2 2.3 6.4 5.5 - - - - 39.7 42.0 61.0 - 50.0 48.0
Tyler Creammer Tyler Creammer C 28 19.8 7.1 5.2 0.6 0.5 0.5 1.4 6.2 6.4 - - - - 45.7 0.0 71.9 - 50.2 45.7
Garrett Gilkeson Garrett Gilkeson G 28 22.8 5.6 4.0 1.3 1.2 0.0 1.3 5.7 5.2 - - - - 35.2 25.4 78.4 - 45.1 40.6
Myles Lewis Myles Lewis F 24 9.1 3.6 1.9 0.2 0.1 0.2 0.7 2.8 2.6 - - - - 46.3 22.2 73.3 - 53.6 47.8
Greg Parham Greg Parham G 27 11.4 3.0 1.1 1.1 0.4 0.0 0.9 3.1 1.8 - - - - 36.1 19.0 82.4 - 45.3 41.0
Will Miller Will Miller F 27 12.9 2.8 1.5 0.4 0.4 0.1 0.6 2.4 2.1 - - - - 48.5 28.6 41.7 - 52.6 53.0
Sarju Patel Sarju Patel G 28 10.9 2.7 1.2 0.5 0.1 0.0 0.8 2.6 1.1 - - - - 34.7 39.5 69.2 - 48.9 46.5
Fred Iruafemi Fred Iruafemi F 28 15.2 2.3 3.7 0.4 0.7 1.4 1.0 1.9 5.5 - - - - 50.0 0 50.0 - 51.0 50.0
Tragen Fahl Tragen Fahl F 6 2.3 0.7 0.3 0.0 0.2 0.2 0.2 0.3 0.8 - - - - 100.0 0 0 - 100.0 100.0
Ta'Vonne Bond Ta'Vonne Bond G 7 1.9 0.4 0.1 0.4 0.0 0.0 0.6 0.1 0.3 - - - - 0.0 0 100.0 - 64.7 0.0
A. Branch A. Branch F 1 0.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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