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Akron Zips

Also known as: Akron Zips
Program History

2019 Team Stats (4 games)

66.8
PPG
72.8
Opp
-6.0
Margin
39.7%
FG%
35.1%
3P%
74.3%
FT%
34.5
RPG
11.8
APG
12.8
TO
-
Est. poss./game
64.6
Adj PPG
64.2
Adj Opp PPG
#157
Scoring Rank

Model Outputs

2018-2019
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†’ 892 (#224) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1010 (#161) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 929 (#250) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More โ†’ +0.6 (#157) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More โ†’ -0.6 (#173) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.480 (#184) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.2 More โ†’ 0.534 (#157) AdjNet +1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.2 More โ†’ 0.535 (#157) AdjNet +1.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.6 | AdjD 64.2 More โ†’ 0.508 (#157) AdjO 64.6 | AdjD 64.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.2 | AdjD 65.4 More โ†’ 0.450 (#206) AdjO 63.2 | AdjD 65.4
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†’ 0.464 (#180) 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†’ 0.452 (#184) 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 30 More โ†’ 968 (#189) RD 115 | GP 30

2019 Schedule & Results

Date Vs/At Opponent Result Score
2018-11-13 @ North Carolina A&T Aggies W 49 - 36
2018-11-17 vs Oakland Golden Grizzlies W 85 - 65
2018-11-18 vs Northern Kentucky Norse W 77 - 60
2018-11-28 @ Youngstown State Penguins L 61 - 72
2018-12-01 vs Eastern Kentucky Colonels W 63 - 54
2018-12-05 vs St. Bonaventure Bonnies W 67 - 58
2018-12-08 vs Butler Bulldogs L 47 - 63
2018-12-16 vs Canisius Golden Griffins W 62 - 53
2018-12-20 @ Jackson State Lady Tigers W 74 - 57
2018-12-21 vs UTEP Miners W 64 - 57
2018-12-29 vs Malone Pioneers W 63 - 44
2019-01-05 @ Central Michigan Chippewas L 71 - 94
2019-01-09 @ Western Michigan Broncos W 72 - 59
2019-01-12 vs Bowling Green Falcons W 74 - 71
2019-01-16 vs Eastern Michigan Eagles L 60 - 72
2019-01-20 @ Northern Illinois Huskies L 59 - 70
2019-01-23 @ Buffalo Bulls L 72 - 91
2019-01-26 vs Toledo Rockets W 70 - 64
2019-02-02 @ Kent State Golden Flashes L 58 - 73
2019-02-06 @ Ohio Bobcats L 70 - 92
2019-02-09 vs Western Michigan Broncos W 69 - 62
2019-02-13 vs Ball State Cardinals W 91 - 61
2019-02-16 vs Miami (OH) RedHawks L 61 - 67
2019-02-20 @ Eastern Michigan Eagles L 60 - 67
2019-02-23 vs Buffalo Bulls W 70 - 59
2019-02-27 @ Bowling Green Falcons W 83 - 73
2019-03-02 vs Ohio Bobcats L 71 - 81
2019-03-06 vs Kent State Golden Flashes L 55 - 65
2019-03-09 @ Miami (OH) RedHawks L 49 - 66
2019-03-11 vs Eastern Michigan Eagles L 59 - 61
2019-03-21 @ Tennessee Tech Golden Eagles L 59 - 73

2019 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%
M. Sefcik M. Sefcik G 4 37.0 19.0 3.2 1.5 2.8 1.2 2.5 14.5 10.8 5 24 0.2 0.3 41.4 33.3 94.1 0.2 58.0 51.7
S. Edmonds S. Edmonds G 4 28.5 15.2 2.2 3.0 1.0 0.0 1.8 14.5 5.2 5 19 0.3 0.4 39.7 37.5 81.8 0.69 48.5 44.8
C. Vari C. Vari F 4 34.2 9.2 5.2 2.0 1.0 1.2 1.2 8.0 9.5 -12 24 -0.5 -0.7 53.1 0 50.0 0.94 53.4 53.1
S. Harmon S. Harmon G 4 38.0 8.5 4.2 3.8 2.2 0.0 3.2 6.0 9.5 -18 24 -0.8 -1.1 37.5 100.0 92.9 -0.94 56.4 43.8
A. Clay A. Clay G 4 9.2 6.2 0.2 0.0 0.2 0.0 0.5 4.8 1.5 -37 24 -1.5 -5.6 47.4 62.5 50.0 -2.66 60.2 60.5
H. Reinoehl H. Reinoehl F 4 35.0 6.2 11.0 0.5 0.8 0.2 1.8 7.2 9.8 28 24 1.2 1.6 31.0 11.1 75.0 2.72 38.4 32.8
K. Azubike K. Azubike G 3 11.3 1.0 2.0 0.3 0.3 0.0 0.7 0.3 2.7 -47 23 -2.0 -7.8 100.0 0 16.7 -3.47 41.2 100.0
K. Miller K. Miller G 4 9.2 1.0 0.5 0.0 0.2 0.0 0.5 2.2 -1.0 -25 24 -1.0 -3.6 11.1 0 50.0 -2.57 18.6 11.1
G. Brown-Mitchell G. Brown-Mitchell G 2 5.0 1.0 0.5 0.0 0.0 0.0 1.0 0.5 0.0 -1 18 -0.1 -0.2 100.0 0 0 -1.5 100.0 100.0
C. Neitzel C. Neitzel F 3 5.3 0.0 0.7 1.0 0.0 0.0 0.3 2.0 -0.7 -2 22 -0.1 -0.4 0.0 0.0 0 -0.43 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