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Youngstown State

Also known as: Youngstown State Penguins
Program History

2017 Team Stats (4 games)

85.3
PPG
-
Opp
-
Margin
47.3%
FG%
39.4%
3P%
73.0%
FT%
37.3
RPG
15.5
APG
10.5
TO
-
Est. poss./game
73.9
Adj PPG
81.8
Adj Opp PPG
#287
Scoring Rank

Model Outputs

2016-2017
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†’ 851 (#259) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 884 (#253) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 950 (#243) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -8.3 (#285) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -5.8 (#262) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.261 (#293) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -11.9 More โ†’ 0.202 (#288) AdjNet -11.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -12.0 More โ†’ 0.200 (#287) AdjNet -12.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.9 | AdjD 81.8 More โ†’ 0.329 (#287) AdjO 73.9 | AdjD 81.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 74.1 | AdjD 78.7 More โ†’ 0.396 (#271) AdjO 74.1 | AdjD 78.7
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†’ 0.327 (#261) 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†’ 0.340 (#257) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 142 | GP 32 More โ†’ 899 (#246) RD 142 | GP 32

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-12 vs Akron Zips W 90 - 82
2016-11-15 @ Toledo Rockets L 98 - 103
2016-11-18 @ Jacksonville Dolphins L 54 - 79
2016-11-19 @ South Alabama Jaguars L 75 - 84
2016-11-20 vs Florida International Panthers W 78 - 73
2016-11-22 vs Westminster (PA) Titans W 97 - 67
2016-11-26 vs Canisius Golden Griffins L 84 - 90
2016-11-30 @ Robert Morris Colonials W 75 - 74
2016-12-03 vs Oberlin Yeomen W 87 - 72
2016-12-06 @ Michigan State Spartans L 57 - 77
2016-12-10 @ American University Eagles L 62 - 77
2016-12-14 vs Niagara Purple Eagles W 101 - 97
2016-12-20 @ Ohio State Buckeyes L 40 - 77
2016-12-29 vs Milwaukee Panthers W 88 - 87
2016-12-31 vs Green Bay Phoenix L 77 - 90
2017-01-05 @ Northern Kentucky Norse L 70 - 83
2017-01-07 @ Wright State Raiders W 80 - 75
2017-01-12 vs Valparaiso Beacons L 62 - 78
2017-01-14 vs UIC Flames L 89 - 92
2017-01-16 @ Detroit Mercy Titans L 71 - 87
2017-01-20 @ Green Bay Phoenix W 92 - 89
2017-01-22 @ Milwaukee Panthers L 85 - 94
2017-01-28 vs Cleveland State Vikings W 67 - 64
2017-02-02 vs Oakland Golden Grizzlies L 76 - 90
2017-02-04 vs Detroit Mercy Titans L 80 - 90
2017-02-09 @ UIC Flames L 81 - 84
2017-02-11 @ Valparaiso Beacons L 72 - 82
2017-02-16 vs Wright State Raiders L 81 - 84
2017-02-18 vs Northern Kentucky Norse W 81 - 77
2017-02-21 @ Oakland Golden Grizzlies L 72 - 101
2017-02-25 @ Cleveland State Vikings L 55 - 69
2017-03-03 @ Cleveland State Vikings W 84 - 69
2017-03-04 @ Oakland Golden Grizzlies W 81 - 80
2017-03-06 @ Northern Kentucky Norse L 74 - 84

2017 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%
Cameron Morse Cameron Morse G 15 36.9 24.3 3.4 3.1 1.1 0.2 2.5 11.0 18.7 -165 22 -7.5 -9.0 46.1 34.4 77.5 -1.62 99.7 52.7
Francisco Santiago Francisco Santiago G 17 34.4 11.3 4.9 4.4 1.5 0.2 2.2 4.3 15.9 -137 24 -5.7 -7.5 45.2 31.6 85.7 1.13 126.2 49.3
Matt Donlan Matt Donlan F 17 25.1 10.4 4.0 1.6 0.4 0.2 1.1 2.9 12.5 -106 24 -4.4 -7.5 40.8 53.3 100.0 -0.04 174.3 57.1
Jorden Kaufman Jorden Kaufman C 17 22.1 9.2 6.6 0.9 0.3 0.4 1.2 3.4 12.8 -142 24 -5.9 -12.5 63.8 0 60.0 -1.56 125.0 63.8
Braun Hartfield Braun Hartfield G 17 22.8 8.8 4.8 1.0 0.8 0.5 1.0 2.1 12.7 -99 24 -4.1 -8.7 50.0 16.7 56.2 -1.76 174.3 52.8
Brett Frantz Brett Frantz G 16 25.2 6.3 2.4 1.4 0.4 0.1 0.9 2.9 6.9 -124 24 -5.2 -9.5 39.1 30.8 94.1 -3.13 94.4 47.8
Devin Haygood Devin Haygood F 17 16.4 4.9 3.7 0.7 0.6 1.0 1.2 1.1 8.6 -26 24 -1.1 -2.7 42.1 0 40.0 0.13 177.4 42.1
Latin Davis Latin Davis G 16 13.8 3.2 2.1 1.2 0.4 0.0 1.4 1.4 4.1 -55 23 -2.4 -9.2 50.0 50.0 71.4 -1.52 101.7 54.5
Rahim Williams Rahim Williams F 12 15.7 2.0 1.2 0.5 0.2 0.8 1.2 0.8 2.8 -77 16 -4.8 -11.7 40.0 25.0 0.0 -3.22 110.3 45.0
Stefan Rosic Stefan Rosic F 9 5.0 1.2 0.3 0.2 0.0 0.1 0.4 0.8 0.7 -8 9 -0.9 -8.3 42.9 25.0 0 -1.69 78.6 50.0
Jeremiah Ferguson Jeremiah Ferguson G 10 3.0 0.7 0.4 0.2 0.1 0.0 0.5 0.1 0.8 21 14 1.5 17.4 0.0 0.0 0 1.51 350.0 0.0
Ryan Strollo Ryan Strollo G 2 2.5 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 - - - - 0 0 0 - 0 0
Tyler Warford Tyler Warford - 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 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