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Davidson

Also known as: Davidson Wildcats, Davidson
Program History

2016 Team Stats (5 games)

71.2
PPG
80.4
Opp
-9.2
Margin
39.5%
FG%
31.4%
3P%
76.1%
FT%
35.2
RPG
12.4
APG
10.8
TO
-
Est. poss./game
79.1
Adj PPG
74.4
Adj Opp PPG
#106
Scoring Rank

Model Outputs

2015-2016
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†’ 1160 (#88) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1138 (#85) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1051 (#99) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +5.2 (#103) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +5.8 (#93) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.522 (#166) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.7 More โ†’ 0.709 (#103) AdjNet +7.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.8 More โ†’ 0.711 (#103) AdjNet +7.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.1 | AdjD 74.4 More โ†’ 0.605 (#106) AdjO 79.1 | AdjD 74.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.0 | AdjD 73.1 More โ†’ 0.566 (#114) AdjO 76.0 | AdjD 73.1
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†’ 0.651 (#100) 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†’ 0.643 (#99) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 114 | GP 32 More โ†’ 1143 (#83) RD 114 | GP 32

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-14 vs UCF Knights W 90 - 85
2015-11-21 vs Charleston Cougars W 82 - 81
2015-11-23 vs Mercer Bears W 77 - 71
2015-11-28 vs Denison Big Red W 83 - 70
2015-12-01 @ Charlotte 49ers W 109 - 74
2015-12-06 @ North Carolina Tar Heels L 65 - 98
2015-12-09 vs Eastern Washington Eagles W 96 - 86
2015-12-12 vs Western Carolina Catamounts W 87 - 54
2015-12-20 vs Pittsburgh Panthers L 69 - 94
2015-12-23 vs Morehead State Eagles W 81 - 77
2015-12-28 @ California Golden Bears L 60 - 86
2016-01-02 @ St. Bonaventure Bonnies L 85 - 97
2016-01-06 vs Duquesne Dukes W 77 - 66
2016-01-09 vs George Mason Patriots W 81 - 75
2016-01-12 @ Dayton Flyers L 74 - 80
2016-01-16 vs Massachusetts Minutemen W 86 - 74
2016-01-20 @ Saint Louis Billikens L 87 - 96
2016-01-23 @ Richmond Spiders - Postponed
2016-01-25 @ Richmond Spiders W 78 - 70
2016-01-29 vs VCU Rams L 69 - 79
2016-02-03 @ George Washington Revolutionaries L 69 - 79
2016-02-06 @ Duquesne Dukes W 93 - 82
2016-02-10 vs La Salle Explorers W 79 - 66
2016-02-13 @ George Mason Patriots L 59 - 60
2016-02-16 vs Richmond Spiders W 83 - 79
2016-02-20 vs Saint Joseph's Hawks W 99 - 93
2016-02-23 vs Rhode Island Rams W 65 - 54
2016-02-27 @ Fordham Rams L 82 - 91
2016-03-02 @ VCU Rams L 60 - 70
2016-03-05 vs George Washington Revolutionaries W 87 - 80
2016-03-10 vs La Salle Explorers W 78 - 63
2016-03-11 @ St. Bonaventure Bonnies W 90 - 86
2016-03-12 @ VCU Rams L 54 - 76
2016-03-15 @ Florida State Seminoles L 74 - 84

2016 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%
Jack Gibbs Jack Gibbs G 29 35.7 23.6 4.1 5.0 1.6 0.1 3.3 6.9 24.1 9 25 0.4 0.4 38.0 28.1 83.0 0.63 153.1 44.2
Peyton Aldridge Peyton Aldridge F 31 34.5 15.3 6.6 2.1 0.5 0.9 1.5 3.9 20.2 33 26 1.3 1.6 52.9 32.5 79.6 3.36 166.6 58.3
Brian Sullivan Brian Sullivan G 28 37.1 13.8 3.8 3.4 0.9 0.1 1.3 3.8 17.0 9 23 0.4 0.5 37.7 39.5 88.9 0.58 169.4 51.9
Jordan Barham Jordan Barham G 28 14.6 8.7 3.8 0.8 0.2 0.2 0.6 1.9 11.2 -10 23 -0.4 -1.6 60.4 0 65.6 -1.33 181.9 60.4
Jordan Watkins Jordan Watkins G 26 22.2 5.8 2.3 1.1 0.5 0.1 0.9 2.0 6.8 -103 23 -4.5 -8.6 39.6 43.2 100.0 -4.37 130.4 57.5
Nathan Ekwu Nathan Ekwu F 31 19.7 5.7 5.9 0.8 0.4 1.1 0.8 1.3 11.8 -4 26 -0.2 -0.3 36.6 0.0 61.5 0.9 168.8 36.6
Jake Belford Jake Belford F 5 20.6 4.8 4.6 0.4 0.4 0.4 0.6 2.2 7.8 - - - - 36.4 28.6 80.0 -0.2 90.9 45.5
Oskar Michelsen Oskar Michelsen F 30 18.1 4.2 1.9 1.0 0.2 0.2 0.6 1.3 5.7 35 25 1.4 3.6 28.2 22.6 83.3 0.75 143.4 37.2
Andrew McAuliffe Andrew McAuliffe F 30 12.1 3.2 2.5 0.6 0.2 0.2 0.7 1.1 4.9 0 26 0.0 0.0 63.6 50.0 28.6 -0.4 133.0 65.2
Rusty Reigel Rusty Reigel G 27 16.9 2.4 1.9 1.1 0.0 0.1 0.4 0.6 4.6 34 25 1.4 3.5 46.7 25.0 100.0 -0.38 191.9 53.3
Kamau Faines Kamau Faines G 3 2.0 2.0 0.0 0.0 0.0 0.0 0.0 0.0 2.0 - - - - 0 0 0 -0.22 0 0
Manu Giamoukis Manu Giamoukis G 3 2.0 0.3 0.3 0.0 0.3 0.0 0.3 0.0 0.7 - - - - 0 0 0 -0.22 0 0
Matt Williams Matt Williams G 5 1.8 0.0 0.2 0.0 0.0 0.0 0.2 0.0 0.0 3 6 0.5 12.5 0 0 0 -0.24 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