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Drake

Also known as: Drake Bulldogs, Drake
Program History

2016 Team Stats (1 games)

48.0
PPG
74.0
Opp
-26.0
Margin
25.0%
FG%
22.2%
3P%
91.7%
FT%
30.0
RPG
4.0
APG
15.0
TO
-
Est. poss./game
67.6
Adj PPG
72.7
Adj Opp PPG
#244
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†’ 775 (#301) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 759 (#324) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 861 (#334) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -5.0 (#240) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -3.7 (#219) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.268 (#282) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -7.4 More โ†’ 0.299 (#239) AdjNet -7.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.4 More โ†’ 0.298 (#239) AdjNet -7.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.6 | AdjD 72.7 More โ†’ 0.386 (#244) AdjO 67.6 | AdjD 72.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.7 | AdjD 71.8 More โ†’ 0.388 (#273) AdjO 66.7 | AdjD 71.8
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†’ 0.301 (#278) 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†’ 0.301 (#282) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 157 | GP 30 More โ†’ 762 (#319) RD 157 | GP 30

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Simpson (IA) Storm W 97 - 52
2015-11-16 @ Tulane Green Wave L 74 - 79
2015-11-21 vs Kansas City Roos L 73 - 79
2015-11-23 vs Western Kentucky Hilltoppers W 81 - 79
2015-11-24 vs Weber State Wildcats L 58 - 74
2015-11-25 @ Pepperdine Waves W 69 - 53
2015-11-28 vs UIC Flames W 83 - 62
2015-12-05 @ Bowling Green Falcons L 63 - 75
2015-12-09 vs DePaul Blue Demons L 71 - 74
2015-12-12 @ Nevada Wolf Pack L 71 - 79
2015-12-19 @ Iowa Hawkeyes L 64 - 70
2015-12-22 vs Abilene Christian Wildcats W 87 - 70
2015-12-31 @ Wichita State Shockers L 47 - 67
2016-01-03 vs Illinois State Redbirds L 62 - 67
2016-01-06 vs Indiana State Sycamores L 69 - 79
2016-01-09 @ Northern Iowa Panthers L 44 - 77
2016-01-12 @ Evansville Purple Aces L 65 - 84
2016-01-17 vs Southern Illinois Salukis L 76 - 81
2016-01-20 vs Missouri State Bears L 70 - 79
2016-01-23 @ Loyola Chicago Ramblers L 63 - 68
2016-01-26 @ Illinois State Redbirds L 64 - 76
2016-01-30 vs Bradley Braves W 80 - 70
2016-02-02 @ Indiana State Sycamores L 56 - 63
2016-02-06 vs Northern Iowa Panthers L 66 - 82
2016-02-09 vs Wichita State Shockers L 48 - 74
2016-02-13 @ Southern Illinois Salukis L 60 - 75
2016-02-17 vs Evansville Purple Aces L 74 - 80
2016-02-20 @ Bradley Braves L 70 - 73
2016-02-24 @ Missouri State Bears L 52 - 61
2016-02-27 vs Loyola Chicago Ramblers W 69 - 59
2016-03-03 @ Missouri State Bears L 67 - 69

2016 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%
Reed Timmer Reed Timmer G 2 37.0 22.5 5.5 3.5 1.5 0.0 2.5 5.0 25.5 -76 28 -2.7 -3.5 40.0 50.0 91.7 4.42 147.3 45.0
Kale Abrahamson Kale Abrahamson F 2 27.0 9.0 7.0 1.0 0.0 0.0 0.0 3.5 13.5 -114 27 -4.2 -6.6 14.3 0.0 100.0 -2.47 114.2 14.3
Graham Woodward Graham Woodward G 2 25.5 5.5 2.5 1.0 0.0 0.0 1.5 4.0 3.5 -134 28 -4.8 -6.8 25.0 40.0 100.0 -3.9 61.9 37.5
Ore Arogundade Ore Arogundade G 2 31.5 5.5 5.5 0.0 1.0 0.0 1.0 3.5 7.5 -108 28 -3.9 -6.9 14.3 0.0 0 -0.43 78.6 14.3
Dominik Olejniczak Dominik Olejniczak C 2 19.0 5.5 1.5 0.5 0.0 0.5 1.0 3.0 4.0 -42 27 -1.6 -4.0 33.3 0 83.3 0.0 63.7 33.3
Billy Wampler Billy Wampler F 2 16.5 4.0 1.5 1.0 0.0 0.5 1.0 2.0 4.0 -47 27 -1.7 -6.9 25.0 33.3 0 0.96 100.0 37.5
Jacob Enevold Jacob Enevold C 2 12.0 2.0 2.5 0.5 0.0 1.0 1.0 0.0 5.0 -66 26 -2.5 -6.4 0 0 100.0 -0.43 227.3 0
Casey Schlatter Casey Schlatter F 2 7.0 1.5 1.5 0.0 0.0 0.0 0.0 0.0 3.0 -50 28 -1.8 -5.7 0 0 0 -2.52 0 0
Nick McGlynn Nick McGlynn F 2 8.0 0.5 1.0 0.5 0.0 0.0 0.5 0.0 1.5 -47 27 -1.7 -7.3 0 0 0 -1.07 0 0
Karl Madison Karl Madison G 2 12.0 0.0 0.5 0.0 0.0 0.0 2.5 1.0 -3.0 -111 27 -4.1 -13.1 0.0 0.0 0 -5.38 0.0 0.0
C.J. Rivers C.J. Rivers G 1 9.0 0.0 1.0 2.0 0.0 0.0 0.0 0.0 3.0 18 16 1.1 2.4 0 0 0 0.88 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