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Akron

2016 Team Stats (8 games)

73.6
PPG
68.8
Opp
+4.9
Margin
43.1%
FG%
36.2%
3P%
63.0%
FT%
34.3
RPG
14.1
APG
9.3
TO
-
Est. poss./game
73.0
Adj PPG
67.2
Adj Opp PPG
#97
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†’ 1148 (#92) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1190 (#56) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 1076 (#77) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +5.9 (#100) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +5.1 (#107) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.746 (#55) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.7 More โ†’ 0.732 (#93) AdjNet +8.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.7 More โ†’ 0.732 (#94) AdjNet +8.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.0 | AdjD 67.2 More โ†’ 0.629 (#97) AdjO 73.0 | AdjD 67.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.4 | AdjD 67.9 More โ†’ 0.600 (#81) AdjO 72.4 | AdjD 67.9
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†’ 0.666 (#91) 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†’ 0.661 (#90) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 115 | GP 34 More โ†’ 1145 (#82) RD 115 | GP 34

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-14 vs Cleveland State Vikings W 65 - 53
2015-11-16 vs Hiram Terriers W 100 - 30
2015-11-18 @ Arkansas Razorbacks W 88 - 80
2015-11-22 @ Villanova Wildcats L 56 - 75
2015-11-24 @ Green Bay Phoenix L 63 - 66
2015-11-27 vs Charleston Southern Buccaneers W 82 - 58
2015-12-02 vs Coppin State Eagles W 77 - 71
2015-12-04 @ Marshall Thundering Herd W 75 - 65
2015-12-12 vs Bethune-Cookman Wildcats W 81 - 60
2015-12-21 vs UC Santa Barbara Gauchos W 84 - 70
2015-12-23 @ Iona Gaels W 78 - 64
2015-12-30 vs South Carolina State Bulldogs W 78 - 68
2016-01-02 vs Lipscomb Bisons W 80 - 73
2016-01-05 @ Buffalo Bulls W 75 - 71
2016-01-08 vs Western Michigan Broncos W 62 - 53
2016-01-12 @ Central Michigan Chippewas L 81 - 92
2016-01-15 @ Toledo Rockets L 64 - 78
2016-01-19 vs Eastern Michigan Eagles W 92 - 88
2016-01-23 vs Miami (OH) RedHawks W 75 - 46
2016-01-26 vs Northern Illinois Huskies W 76 - 66
2016-01-30 @ Ball State Cardinals W 73 - 64
2016-02-02 @ Ohio Bobcats W 80 - 68
2016-02-05 vs Central Michigan Chippewas W 92 - 87
2016-02-09 @ Bowling Green Falcons W 83 - 68
2016-02-13 @ Northern Illinois Huskies L 79 - 80
2016-02-16 vs Buffalo Bulls W 80 - 70
2016-02-19 @ Kent State Golden Flashes L 76 - 85
2016-02-23 @ Miami (OH) RedHawks L 64 - 77
2016-02-26 vs Bowling Green Falcons W 89 - 54
2016-03-01 vs Ohio Bobcats W 91 - 76
2016-03-04 vs Kent State Golden Flashes W 74 - 60
2016-03-10 vs Eastern Michigan Eagles W 65 - 63
2016-03-11 vs Bowling Green Falcons W 80 - 66
2016-03-12 vs Buffalo Bulls L 61 - 64
2016-03-15 @ Ohio State Buckeyes L 63 - 72

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%
Isaiah Johnson Isaiah Johnson C 34 25.5 13.7 7.4 1.6 0.5 1.2 1.6 3.8 19.0 118 21 5.6 9.6 56.9 50.0 57.6 3.38 136.4 57.3
A. Jackson A. Jackson G 34 28.3 11.8 3.0 3.4 1.2 0.0 2.2 4.0 13.2 50 21 2.4 3.7 40.9 33.3 70.4 -0.7 135.0 50.4
Reggie McAdams Reggie McAdams F 34 26.6 11.5 4.1 0.9 0.7 0.3 0.7 3.0 13.8 75 21 3.6 5.8 44.7 40.2 81.5 1.2 170.2 60.7
Noah Robotham Noah Robotham G 28 32.2 9.7 2.8 3.8 1.2 0.1 1.4 3.3 12.9 88 18 4.9 6.8 33.3 28.6 57.1 2.72 136.6 43.0
Jake Kretzer Jake Kretzer F 33 25.0 8.2 4.2 1.2 0.6 0.1 0.6 2.5 11.3 73 20 3.6 6.2 43.2 40.0 75.0 0.58 160.9 61.7
Pat Forsythe Pat Forsythe C 21 19.4 8.1 4.7 0.6 0.7 1.3 1.5 1.4 12.6 0 12 0.0 0.0 31.0 0 50.0 0.17 261.4 31.0
Kwan Cheatham Kwan Cheatham F 34 22.6 7.3 4.9 1.6 0.2 1.0 1.3 2.6 11.2 36 21 1.7 3.4 34.5 30.8 75.0 -0.95 127.6 41.4
Josh Williams Josh Williams G 33 18.8 6.8 2.6 1.4 0.4 0.1 1.5 2.3 7.5 45 20 2.2 5.2 44.7 44.4 81.8 -2.72 137.9 63.2
A. Jackson A. Jackson G 29 9.3 2.6 1.3 0.3 0.2 0.1 0.3 0.7 3.5 -6 15 -0.4 -1.9 31.6 18.2 71.4 -3.64 169.8 36.8
Jimond Ivey Jimond Ivey G 31 8.6 2.6 1.6 0.7 0.3 0.1 0.5 0.5 4.2 18 19 0.9 4.9 47.1 0.0 63.6 -1.13 187.7 47.1
Carlitos Anderson Carlitos Anderson G 4 3.2 0.8 0.8 0.2 0.2 0.0 0.0 0.0 2.0 - - - - 0 0 0 -1.2 0 0
Mark Noble Mark Noble G 4 3.5 0.5 0.2 0.0 0.2 0.0 0.2 0.0 0.8 - - - - 0 0 0 -1.2 0 0
Daniel Utomi Daniel Utomi G 2 2.0 0.0 0.0 0.0 0.5 0.0 0.0 0.0 0.5 - - - - 0 0 0 - 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