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Kent State

Also known as: Kent State Golden Flashes
Program History

2027 Team Stats (1 games)

75.0
PPG
85.0
Opp
-10.0
Margin
36.5%
FG%
25.0%
3P%
63.6%
FT%
45.0
RPG
9.0
APG
7.0
TO
67.7
Est. poss./game
69.4
Adj PPG
67.3
Adj Opp PPG
#88
Scoring Rank

Model Outputs

2026-2027
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. Preseason prior 1010 (returning production + recruiting): last season 1043, returning -42, transfers -10, freshmen +20 More โ†’ 972 (#149) Preseason prior 1010 (returning production + recruiting): last season 1043, returning -42, transfers -10, freshmen +20
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 977 (#238) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +268 elo More โ†’ 976 (#155) HCA +268 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +17.4 More โ†’ +3.6 (#97) HCA +17.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +16.1 More โ†’ +3.0 (#87) HCA +16.1
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.192 (#156) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -14.7 More โ†’ 0.192 (#156) NetEff -14.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.2 More โ†’ 0.382 (#156) AdjNet -4.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.1 More โ†’ 0.382 (#156) AdjNet -4.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.4 | AdjD 67.3 More โ†’ 0.548 (#88) AdjO 69.4 | AdjD 67.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.4 | AdjD 67.3 More โ†’ 0.548 (#89) AdjO 69.4 | AdjD 67.3
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†’ 0.476 (#134) 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†’ 0.476 (#134) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 218 | GP 1 More โ†’ 893 (#208) RD 218 | GP 1

2027 Schedule & Results

Date Vs/At Opponent Result Score
2026-11-02 @ Louisiana Tech Bulldogs L 75 - 85
2026-11-06 vs Roberts Wesleyan Redhawks - Preview
2026-11-11 @ UNC Wilmington Seahawks - Preview

2027 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Christian Henry Christian Henry G 1 23.0 17.0 5.0 1.0 0.0 0.0 1.0 14.0 8.0 - - - - 42.9 28.6 75.0 - 53.9 50.0
Dhani Miller Dhani Miller G 1 36.0 15.0 6.0 5.0 2.0 0.0 0.0 19.0 9.0 - - - - 21.1 12.5 66.7 - 32.7 23.7
Latif Diouf Latif Diouf F 1 30.0 13.0 10.0 0.0 2.0 0.0 1.0 10.0 14.0 - - - - 60.0 100.0 0 - 65.0 65.0
Jamal Sumlin Jamal Sumlin G 1 27.0 10.0 5.0 1.0 1.0 0.0 0.0 10.0 7.0 - - - - 40.0 50.0 50.0 - 46.0 45.0
Brenden Moss Brenden Moss G 1 15.0 5.0 2.0 1.0 0.0 0.0 1.0 3.0 4.0 - - - - 33.3 33.3 100.0 - 64.4 50.0
Quinn Woidke Quinn Woidke G 1 16.0 5.0 2.0 0.0 0.0 0.0 0.0 5.0 2.0 - - - - 20.0 25.0 100.0 - 42.5 30.0
Landon Vanderwarker Landon Vanderwarker F 1 16.0 4.0 4.0 0.0 0.0 0.0 0.0 2.0 6.0 - - - - 100.0 0 0 - 100.0 100.0
Cameron Williams Cameron Williams F 1 15.0 4.0 3.0 0.0 0.0 0.0 1.0 4.0 2.0 - - - - 50.0 0 0.0 - 45.0 50.0
J. Townsend J. Townsend F 1 1.0 2.0 0.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - - 100.0 0 0 - 100.0 100.0
Jakhi Calloway Jakhi Calloway G 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Dylan Lakatos Dylan Lakatos G 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Godslove Nwabude Godslove Nwabude F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Chansey Willis Jr. Chansey Willis Jr. G 1 20.0 0.0 3.0 1.0 1.0 0.0 3.0 6.0 -4.0 - - - - 0.0 0.0 0.0 - 0.0 0.0
Elian Arick Elian Arick F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -
Dezmon Briscoe Dezmon Briscoe F 0 - 0.0 0.0 0.0 - - - - - - - - - - - - - - -

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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

Alumni in the Pros

Every program's alumni →

Former Kent State players in G League 2025-2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Kent State game count. These are observed results, not certified complete seasons. League and team are where each player last played a regular-season or playoff game (NBA ahead of G League when he played in both); recent games include the preseason.

Active alumni

Player At School League Team GP MPG PPG RPG APG Last game Last 30 days
Justyn Hamilton 2020-22 G League Wisconsin Herd (2 teams) 28 14.8 6.4 4.2 0.8 03-28 4 pts, 5 reb, 1 ast no games

Alumni around the leagues: recent games

Date Player League Team Opponent MIN PTS REB AST Box
2026-03-28 Justyn Hamilton G League Wisconsin Herd @ Raptors 905 19 4 5 1 Box
2026-03-26 Justyn Hamilton G League Wisconsin Herd @ Raptors 905 13 6 4 1 Box
2026-03-23 Justyn Hamilton G League Wisconsin Herd vs College Park Skyhawks 7 2 1 1 Box

2026-2027 Shot Zones

74 located field-goal attempts in 1 game (ESPN). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Henry43% Diouf40% Henry50% Sumlin100% Sumlin100% Diouf100% Henry40%
Points: who the team's points here most likely come from
Willis25% Miller40% Willis33% Williams25% Henry50% Woidke100% Miller45% Willis25% Moss33%
Misses: who misses most here

Christian HenryLatif DioufDhani MillerJamal SumlinCameron WilliamsBrenden MossQuinn WoidkeChansey Willis Jr.

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 7-11 63.6 14 Christian Henry 43% (6 pts) Landon Vanderwarker 29% (4 pts) Chansey Willis Jr. 25% (1 misses) Christian Henry 25% (1 misses)
Paint (non-RA) 10-25 40.0 20 Latif Diouf 40% (8 pts) Dhani Miller 30% (6 pts) Dhani Miller 40% (6 misses) Jamal Sumlin 27% (4 misses)
Mid-range left 2-5 40.0 4 Christian Henry 50% (2 pts) J. Townsend 50% (2 pts) Chansey Willis Jr. 33% (1 misses) Dhani Miller 33% (1 misses)
Mid-range center 0-0 - 0 - - - -
Mid-range right 1-5 20.0 2 Jamal Sumlin 100% (2 pts) - Cameron Williams 25% (1 misses) Christian Henry 25% (1 misses)
Left corner 3 1-3 33.3 3 Jamal Sumlin 100% (3 pts) - Christian Henry 50% (1 misses) Quinn Woidke 50% (1 misses)
Right corner 3 0-1 0.0 0 - - Quinn Woidke 100% (1 misses) -
Above-break 3 left 0-11 0.0 0 - - Dhani Miller 45% (5 misses) Christian Henry 27% (3 misses)
Above-break 3 center 1-5 20.0 3 Latif Diouf 100% (3 pts) - Chansey Willis Jr. 25% (1 misses) Christian Henry 25% (1 misses)
Above-break 3 right 5-8 62.5 15 Christian Henry 40% (6 pts) Brenden Moss 20% (3 pts) Brenden Moss 33% (1 misses) Dhani Miller 33% (1 misses)