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Cleveland State

Also known as: Cleveland State Vikings
Program History

2014 Team Stats (2 games)

82.0
PPG
66.5
Opp
+15.5
Margin
61.1%
FG%
64.0%
3P%
69.1%
FT%
28.0
RPG
15.0
APG
13.5
TO
-
Est. poss./game
70.1
Adj PPG
64.7
Adj Opp PPG
#92
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 โ†’ 1121 (#76) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1101 (#101) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1050 (#100) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ +5.6 (#94) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +4.8 (#104) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.693 (#62) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.5 More โ†’ 0.704 (#103) AdjNet +7.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.6 More โ†’ 0.705 (#103) AdjNet +7.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.1 | AdjD 64.7 More โ†’ 0.620 (#92) AdjO 70.1 | AdjD 64.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.3 | AdjD 63.9 More โ†’ 0.599 (#73) AdjO 68.3 | AdjD 63.9
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†’ 0.641 (#96) 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†’ 0.637 (#95) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 123 | GP 31 More โ†’ 1086 (#109) RD 123 | GP 31

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-09 vs Iona Gaels W 73 - 69
2013-11-13 @ San Francisco Dons L 82 - 91
2013-11-15 @ UT Arlington Mavericks W 83 - 73
2013-11-18 @ Eastern Michigan Eagles L 69 - 81
2013-11-23 vs Robert Morris Colonials W 87 - 74
2013-11-25 @ Kentucky Wildcats L 61 - 68
2013-11-30 vs Ball State Cardinals W 78 - 55
2013-12-04 @ Drexel Dragons L 82 - 85
2013-12-07 vs Akron Zips L 61 - 73
2013-12-16 vs Western Carolina Catamounts W 66 - 55
2013-12-18 vs Notre Dame College (OH) Blue Falcons W 97 - 72
2013-12-21 @ Toledo Rockets L 67 - 71
2013-12-23 vs La Roche Redhawks W 89 - 42
2013-12-28 @ Kent State Golden Flashes W 78 - 70
2014-01-02 @ Green Bay Phoenix L 55 - 66
2014-01-04 @ Milwaukee Panthers W 77 - 49
2014-01-08 vs Detroit Mercy Titans W 73 - 63
2014-01-13 @ Youngstown State Penguins L 66 - 67
2014-01-16 vs Oakland Golden Grizzlies W 86 - 76
2014-01-19 vs Wright State Raiders L 46 - 49
2014-01-22 @ UIC Flames W 74 - 64
2014-01-25 vs Valparaiso Beacons W 69 - 50
2014-01-28 @ Eastern Illinois Panthers W 82 - 68
2014-01-31 @ Detroit Mercy Titans W 86 - 78
2014-02-06 @ Oakland Golden Grizzlies W 92 - 85
2014-02-08 @ Wright State Raiders W 72 - 68
2014-02-13 vs UIC Flames W 73 - 53
2014-02-15 vs Green Bay Phoenix L 54 - 68
2014-02-22 vs Milwaukee Panthers W 74 - 50
2014-02-25 vs Youngstown State Penguins W 70 - 69
2014-03-01 @ Valparaiso Beacons W 63 - 52
2014-03-08 vs Wright State Raiders L 63 - 68
2014-03-19 @ Ohio Bobcats L 62 - 64

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%
Bryn Forbes Bryn Forbes G 28 34.9 16.0 3.3 1.7 0.8 0.0 1.6 2.6 17.6 155 27 5.7 7.6 44.6 48.6 94.9 -0.25 245.7 56.8
Jon Harris Jon Harris F 2 25.0 13.5 4.0 1.0 1.5 0.5 1.0 6.0 13.5 154 27 5.7 9.8 83.3 60.0 80.0 1.65 95.1 95.8
Trey Lewis Trey Lewis G 28 31.6 12.4 3.7 3.6 0.9 0.3 2.6 2.4 15.8 164 28 5.9 8.3 52.9 42.3 82.1 1.86 203.1 61.0
Anton Grady Anton Grady F 26 24.7 10.2 6.6 1.7 0.7 1.0 1.8 2.0 16.4 130 26 5.0 8.8 54.9 0.0 43.5 2.48 217.6 54.9
Charlie Lee Charlie Lee G 25 31.0 10.2 2.4 4.0 1.6 0.0 2.0 1.4 14.7 160 24 6.7 9.2 47.2 43.8 83.3 2.5 308.9 56.9
Sebastian Douglas Sebastian Douglas G 21 24.4 8.7 3.3 1.5 0.7 0.0 1.8 1.6 10.9 93 23 4.0 8.0 69.7 100.0 57.1 0.06 232.4 71.2
Marlin Mason Marlin Mason F 28 20.8 6.1 4.1 1.1 0.7 1.0 1.4 0.6 11.1 18 27 0.7 1.4 66.7 60.0 71.4 -2.94 356.0 75.0
Ludovic Ndaye Ludovic Ndaye F 4 9.8 3.5 2.5 0.0 0.2 0.8 0.0 1.5 5.5 - - - - 66.7 0 100.0 - 101.7 66.7
Devon Long Devon Long C 26 12.6 2.6 1.7 0.3 0.2 0.2 0.7 0.6 3.7 57 26 2.2 8.2 40.0 0 25.0 0.14 199.9 40.0
Demonte Flannigan Demonte Flannigan F 16 5.2 1.2 0.6 0.1 0.1 0.1 0.4 0.2 1.4 -13 15 -0.9 -9.9 50.0 0 50.0 -2.8 204.9 50.0
Ismaila Dauda Ismaila Dauda C 16 6.4 0.8 1.3 0.0 0.1 0.2 0.2 0.3 1.8 -10 17 -0.6 -4.2 60.0 0 0 -3.66 120.0 60.0
Raphael Veira Raphael Veira G 7 2.0 0.4 0.1 0.0 0.0 0.0 0.1 0.3 0.1 - - - - 50.0 0.0 0 -1.12 75.0 50.0
Khyler Fields Khyler Fields - 3 2.3 0.0 1.0 0.3 0.0 0.0 0.0 1.0 0.3 - - - - 0.0 0.0 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