🐻⬇️🏀

Akron Zips

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Akron Zips
Program History

2014 Team Stats (4 games)

75.5
PPG
72.5
Opp
+3.0
Margin
40.5%
FG%
37.2%
3P%
79.7%
FT%
42.0
RPG
18.3
APG
11.5
TO
-
Est. poss./game
79.3
Adj PPG
71.8
Adj Opp PPG
#91
Scoring Rank

Model Outputs

2013-2014
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 → 1214 (#68) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1140 (#89) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +88 elo More → 1130 (#37) HCA +88 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +7.8 (#95) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +8.8 (#82) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.762 (#68) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.4 More → 0.747 (#104) AdjNet +9.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.4 More → 0.749 (#105) AdjNet +9.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 79.3 | AdjD 71.8 More → 0.663 (#91) AdjO 79.3 | AdjD 71.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.4 | AdjD 70.1 More → 0.660 (#59) AdjO 77.4 | AdjD 70.1
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 → 0.723 (#78) 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 → 0.723 (#76) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 110 | GP 32 More → 1156 (#70) RD 110 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Florida Atlantic Owls W 98 - 69
2013-11-12 vs Tennessee Tech Golden Eagles W 118 - 71
2013-11-15 @ Dayton Flyers L 80 - 94
2013-11-17 @ Wright State Raiders L 80 - 90
2013-11-22 @ Canisius Golden Griffins W 72 - 56
2013-11-29 @ Cal Poly Mustangs L 74 - 84
2013-11-30 vs UC Davis Aggies L 58 - 71
2013-12-07 vs George Mason Patriots W 88 - 70
2013-12-17 @ Cincinnati Bearcats L 70 - 86
2013-12-20 vs Rochester Christian Warriors W 86 - 43
2013-12-29 vs Youngstown State Penguins W 91 - 75
2014-01-04 vs Ball State Cardinals W 87 - 78
2014-01-09 vs Central Michigan Chippewas L 83 - 109
2014-01-12 @ Bowling Green Falcons L 65 - 81
2014-01-15 @ Miami (OH) RedHawks L 76 - 79
2014-01-18 vs Kent State Golden Flashes W 77 - 51
2014-01-23 vs Ohio Bobcats W 80 - 56
2014-01-26 @ Eastern Michigan Eagles W 101 - 79
2014-01-30 @ Toledo Rockets W 82 - 62
2014-02-02 vs Buffalo Bulls W 101 - 92
2014-02-05 @ Northern Illinois Huskies W 71 - 67
2014-02-08 vs Western Michigan Broncos W 79 - 66
2014-02-15 @ Ball State Cardinals W 87 - 64
2014-02-19 vs Northern Illinois Huskies W 89 - 75
2014-02-22 @ Ohio Bobcats W 88 - 76
2014-02-26 vs Miami (OH) RedHawks W 88 - 63
2014-03-02 @ Kent State Golden Flashes W 80 - 66
2014-03-05 @ Buffalo Bulls W 79 - 71
2014-03-08 vs Bowling Green Falcons L 76 - 77
2014-03-13 vs Toledo Rockets W 83 - 69
2014-03-14 @ Central Michigan Chippewas W 85 - 69
2014-03-15 vs Ball State Cardinals W 79 - 68
2014-03-22 @ Purdue Boilermakers L 55 - 84

2014 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%
H. Luburgh H. Luburgh G 4 35.8 17.8 9.2 1.2 1.5 0.0 2.2 18.2 9.2 121 24 5.0 6.5 32.9 36.0 77.8 2.54 43.9 39.0
R. Tecca R. Tecca F 4 30.8 17.2 6.2 2.8 1.8 0.5 1.5 13.8 13.2 103 24 4.3 6.4 50.9 0.0 61.9 1.3 53.7 50.9
Q. Brown Q. Brown - 4 27.5 10.5 7.0 1.0 1.2 1.0 1.0 6.5 13.2 29 24 1.2 2.0 53.8 50.0 80.0 -2.43 74.5 73.1
D. Curtis D. Curtis C 4 35.5 10.0 2.5 8.2 0.5 0.0 3.5 6.5 11.2 120 24 5.0 6.5 34.6 20.0 95.2 1.07 56.8 38.5
A. Brown A. Brown G 4 19.8 10.0 4.0 1.2 0.2 0.2 2.2 9.8 3.8 59 23 2.6 6.3 43.6 50.0 100.0 1.33 48.5 44.9
H. Plybon H. Plybon G 4 24.0 4.0 2.8 1.8 0.8 0.0 0.5 5.2 3.5 71 24 3.0 5.1 23.8 30.8 100.0 -0.66 36.6 33.3
K. Nunan K. Nunan F 4 10.8 3.0 1.8 0.2 0.0 0.2 0.0 3.5 1.8 27 23 1.2 6.3 42.9 0 0 0.75 42.9 42.9
D. Gibson D. Gibson - 4 10.5 2.8 3.8 0.8 0.2 0.5 0.2 2.2 5.5 73 24 3.0 11.3 44.4 60.0 0 0.71 61.1 61.1
C. Guyton C. Guyton C 3 1.0 0.3 1.0 0.0 0.0 0.0 0.0 0.0 1.3 -8 15 -0.5 -6.3 0 0 50.0 -1.71 56.8 0
M. Barilla M. Barilla G 4 4.5 0.0 0.2 1.0 0.0 0.0 0.2 0.2 0.8 2 23 0.1 0.8 0.0 0.0 0 -0.85 0.0 0.0
A. Ricketts A. Ricketts G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -32 11 -2.9 -33.2 0 0 0 -4.89 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