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VMI Keydets

Also known as: VMI Keydets
Program History

2023 Team Stats (32 games)

69.4
PPG
76.8
Opp
-7.4
Margin
41.6%
FG%
35.1%
3P%
76.6%
FT%
35.3
RPG
11.4
APG
12.8
TO
67.6
Est. poss./game
63.8
Adj PPG
77.4
Adj Opp PPG
#352
Scoring Rank

Model Outputs

2022-2023
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†’ 667 (#341) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 700 (#357) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +85 elo More โ†’ 854 (#352) HCA +85 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More โ†’ -14.5 (#352) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More โ†’ -15.7 (#354) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.116 (#353) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -18.8 More โ†’ 0.116 (#353) NetEff -18.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.7 More โ†’ 0.084 (#351) AdjNet -20.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.8 More โ†’ 0.083 (#350) AdjNet -20.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.8 | AdjD 77.4 More โ†’ 0.226 (#352) AdjO 63.8 | AdjD 77.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.5 | AdjD 76.5 More โ†’ 0.251 (#358) AdjO 64.5 | AdjD 76.5
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†’ 0.166 (#351) 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†’ 0.170 (#354) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 156 | GP 29 More โ†’ 711 (#351) RD 156 | GP 29

2023 Schedule & Results

Date Vs/At Opponent Result Score
2022-11-07 @ Richmond Spiders L 48 - 69
2022-11-10 vs Penn State New Kensington Lions W 100 - 58
2022-11-13 @ Davidson Wildcats L 71 - 75
2022-11-18 @ Longwood Lancers L 58 - 90
2022-11-19 vs SIU Edwardsville Cougars L 67 - 93
2022-11-20 @ Fairleigh Dickinson Knights L 89 - 93
2022-11-26 vs Regent Royals W 108 - 58
2022-11-29 @ Presbyterian Blue Hose L 57 - 72
2022-12-03 vs Navy Midshipmen W 80 - 72
2022-12-07 vs Carlow Celtics W 106 - 67
2022-12-10 vs Radford Highlanders W 77 - 74
2022-12-13 @ American University Eagles L 61 - 69
2022-12-22 @ Fordham Rams L 77 - 80
2022-12-29 @ Furman Paladins L 62 - 85
2022-12-31 vs East Tennessee State Buccaneers L 50 - 64
2023-01-04 @ Samford Bulldogs L 78 - 87
2023-01-07 @ Chattanooga Mocs L 78 - 85
2023-01-11 vs UNC Greensboro Spartans L 57 - 72
2023-01-14 @ Wofford Terriers L 67 - 86
2023-01-19 vs Mercer Bears L 61 - 69
2023-01-21 vs The Citadel Bulldogs L 52 - 60
2023-01-25 @ UNC Greensboro Spartans L 50 - 62
2023-01-28 vs Western Carolina Catamounts L 65 - 71
2023-02-02 @ The Citadel Bulldogs W 75 - 69
2023-02-04 @ Mercer Bears L 54 - 80
2023-02-08 vs Furman Paladins L 63 - 94
2023-02-10 @ East Tennessee State Buccaneers L 65 - 69
2023-02-15 vs Chattanooga Mocs L 58 - 78
2023-02-18 vs Samford Bulldogs L 61 - 96
2023-02-22 vs Wofford Terriers W 87 - 83
2023-02-25 @ Western Carolina Catamounts L 66 - 85
2023-03-03 @ Chattanooga Mocs L 72 - 92

2023 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%
Asher Woods Asher Woods G 32 35.2 14.2 4.4 2.3 0.9 0.0 2.4 12.9 6.5 -234 26 -9.0 -10.2 38.7 31.6 78.0 0.2 49.2 44.7
Sean Conway Sean Conway - 29 29.8 12.1 4.9 1.4 0.9 0.2 1.6 10.2 7.7 -205 23 -8.9 -12.1 41.8 37.8 87.0 -3.72 55.2 52.2
Tyler Houser Tyler Houser - 32 26.2 10.8 5.0 0.4 0.4 0.4 1.5 9.1 6.5 -140 26 -5.4 -8.3 44.3 35.5 73.3 1.1 54.3 51.7
Tony Felder Tony Felder G 32 27.2 10.5 2.1 3.2 0.6 0.0 2.1 10.0 4.2 -199 26 -7.7 -11.3 35.6 33.7 79.0 -2.64 48.4 44.8
Rickey Bradley Rickey Bradley G 31 30.8 9.4 4.8 2.2 1.0 0.1 2.2 7.1 8.1 -198 25 -7.9 -10.1 48.0 38.5 80.9 -0.72 58.2 53.6
Taeshaud Jackson II Taeshaud Jackson II - 31 22.6 6.2 7.2 0.8 0.9 0.3 1.4 4.9 9.0 -163 26 -6.3 -11.1 48.4 37.0 66.7 -2.43 56.1 53.9
Devin Butler Devin Butler - 32 20.3 5.1 2.8 0.9 0.7 0.2 0.7 4.7 4.3 -170 26 -6.5 -13.5 38.0 35.7 50.0 -3.19 51.9 51.7
Dj Nussbaum Dj Nussbaum C 7 17.6 4.3 3.4 0.6 0.3 0.1 0.9 3.6 4.3 -42 5 -8.4 -23.6 60.0 0.0 0.0 -3.76 59.0 60.0
Jake Johnston Jake Johnston - 6 8.3 2.3 1.7 0.5 0.0 0.2 0.3 2.7 1.7 - - - - 31.2 28.6 0 -2.43 43.8 43.8
Sam Wolfe Sam Wolfe - 28 9.7 1.6 1.1 0.1 0.1 0.0 0.3 1.3 1.4 -97 23 -4.2 -19.6 43.2 37.5 71.4 -4.74 57.4 55.4
Honor Huff Honor Huff G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Lewis Rowe Lewis Rowe C 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Brennan Watkins Brennan Watkins G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Josh Tuell Josh Tuell - 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 -1.59 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