Chicago State - 2026-2027

2026-2027 Team Stats (5 games)

65.6

PPG

84.2

Opp

-18.6

Margin

36.0%

FG%

27.4%

3P%

68.4%

FT%

32.2

RPG

10.6

APG

18.4

TO

79.4

Est. poss./game

59.3

Adj PPG

82.0

Adj Opp PPG

#355

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 759 (returning production + recruiting): last season 820, returning -3, transfers -58, freshmen +0 More →	754 (#314)	Preseason prior 759 (returning production + recruiting): last season 820, returning -3, transfers -58, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More →	838 (#312)	HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More →	841 (#312)	HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More →	-25.5 (#352)	HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More →	-25.5 (#352)	HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.046 (#316)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -28.2 More →	0.093 (#352)	AdjNet -28.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -28.3 More →	0.089 (#352)	AdjNet -28.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.3 \| AdjD 82.0 More →	0.139 (#355)	AdjO 59.3 \| AdjD 82.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.2 \| AdjD 82.0 More →	0.139 (#355)	AdjO 59.2 \| AdjD 82.0
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 →	0.135 (#348)	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 →	0.135 (#348)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 166 \| GP 4 More →	823 (#304)	RD 166 \| GP 4
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More →	0.134 (#336)	Chronological component blend with rest and venue.

Rank through the season

League rank each week from the model's fit of the games played by then, published the same way as the table above, so each line ends at the rank shown there. Select a point for its rating.

Recency Ensemble Log Adjusted Elo Points Off/Def Recency

2026-2027 Schedule & Results

Date	Vs/At	Opponent	Result	Score
2026-11-02	@	Illinois State Redbirds	L	69 - 106
2026-11-05	vs	Mississippi Valley State Devilettes	W	83 - 62
2026-11-07	vs	Texas State Bobcats	L	51 - 106
2026-11-10	vs	Huston Tillotson Rams	W	75 - 60
2026-11-11	@	UIC Flames	L	50 - 87
2026-11-18	vs	South Dakota Coyotes	-	Preview
2026-11-21	vs	Seattle U Redhawks	-	Preview

2026-2027 Roster

Show Alumni If everyone stayed four years

Estimated Minutes by Position

Estimated from roster positions and box-score rates; an unlisted position is inferred from those rates, and missing rates are treated as zero. Legend numbers are each player's share of recorded roster minutes, scaled to five players' regulation minutes; they can differ from minutes per game in the roster below, especially when players miss games or coverage is incomplete. Each position column totals one regulation game's minutes. Use the labels or legend to highlight a player's estimated role.

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%
Keona McGee	G	5	23.6	14.0	2.0	2.2	2.2	0.2	4.0	10.6	6.0	-74	5	-14.8	-37.9	41.5	11.1	80.6	-4.03	52.5	42.5
Marisa Gant	G	5	27.8	10.4	2.4	2.0	0.6	0.0	0.8	10.2	4.4	-85	5	-17.0	-39.6	33.3	33.3	77.8	-5.12	47.3	44.1
Brianna Hill	G	2	13.0	9.5	2.5	1.0	0.5	0.0	1.5	5.5	6.5	-1	2	-0.5	-2.2	54.5	0.0	77.8	-0.04	63.5	54.5
Kyara Champagne	G	5	13.6	9.0	2.4	0.8	0.8	0.0	1.6	5.4	6.0	-35	5	-7.0	-35.2	48.1	33.3	70.8	-0.77	59.9	51.9
Mazzy O'Brien	G	5	23.4	7.0	1.6	0.4	0.8	0.0	1.6	8.0	0.2	-60	5	-12.0	-28.7	25.0	26.7	70.0	-1.93	39.4	35.0
Aunyai' Deere	G	5	22.6	5.6	3.0	2.0	1.6	0.0	2.2	5.6	4.4	-85	5	-17.0	-47.5	42.9	0	80.0	-5.35	46.4	42.9
Mia Carter	G	5	21.2	4.6	3.0	0.4	0.4	0.2	1.8	5.4	1.4	-67	4	-16.8	-35.9	29.6	31.6	50.0	-3.31	41.2	40.7
Jade Hamilton-Gill	G	5	15.8	2.8	5.6	0.2	0.4	1.0	0.8	2.6	6.6	-53	5	-10.6	-41.3	46.2	0	25.0	-4.2	42.4	46.2
Chloe Sisco	G	5	11.4	2.4	1.2	0.2	0.8	0.0	0.8	3.4	0.4	-18	4	-4.5	-20.2	23.5	25.0	0	-1.77	35.3	35.3
Kitali Youmans	G	5	14.2	2.4	1.8	1.6	0.8	0.0	1.6	2.0	3.0	-31	5	-6.2	-24.8	40.0	0.0	100.0	-2.23	51.0	40.0
Emmanuelle Kaldjob	C	5	11.4	1.6	4.6	0.0	0.6	2.2	1.2	1.0	6.8	-9	5	-1.8	-9.2	60.0	0	25.0	1.53	46.9	60.0
Eva Young	G	4	7.8	1.5	0.0	0.5	0.5	0.0	1.2	3.2	-2.0	-26	3	-8.7	-70.0	15.4	28.6	0.0	-2.91	21.6	23.1
Paris Bass	F	4	4.5	1.0	0.2	0.0	0.0	0.2	0.2	1.2	0.0	-6	4	-1.5	-15.5	20.0	0.0	100.0	-4.04	34.0	20.0
Leya Landin	G	0	-	0.0	0.0	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Elani Randall	G	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

2026-2027 Shot Zones

298 located field-goal attempts in 5 games (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).

Points: who the team's points here most likely come from

Misses: who misses most here

Keona McGeeMarisa GantMazzy O'BrienAunyai' DeereChloe SiscoEva Young

Zone	FGM-FGA	FG%	Pts	Top scorer	Runner-up	Most misses	Runner-up
Restricted area	33-55	60.0	66	Keona McGee 33% (22 pts)	Kyara Champagne 21% (14 pts)	Keona McGee 27% (6 misses)	Kyara Champagne 23% (5 misses)
Paint (non-RA)	23-71	32.4	46	Keona McGee 26% (12 pts)	Kyara Champagne 17% (8 pts)	Keona McGee 23% (11 misses)	Aunyai' Deere 15% (7 misses)
Mid-range left	5-17	29.4	10	Aunyai' Deere 40% (4 pts)	Keona McGee 20% (2 pts)	Aunyai' Deere 42% (5 misses)	Keona McGee 25% (3 misses)
Mid-range center	5-11	45.5	10	Aunyai' Deere 40% (4 pts)	Jade Hamilton-Gill 20% (2 pts)	Eva Young 33% (2 misses)	Aunyai' Deere 17% (1 misses)
Mid-range right	8-22	36.4	16	Aunyai' Deere 38% (6 pts)	Keona McGee 25% (4 pts)	Aunyai' Deere 21% (3 misses)	Marisa Gant 21% (3 misses)
Left corner 3	3-17	17.6	9	Mazzy O'Brien 100% (9 pts)	-	Marisa Gant 29% (4 misses)	Mazzy O'Brien 21% (3 misses)
Right corner 3	6-18	33.3	18	Marisa Gant 50% (9 pts)	Chloe Sisco 17% (3 pts)	Mazzy O'Brien 42% (5 misses)	Mia Carter 25% (3 misses)
Above-break 3 left	7-27	25.9	21	Marisa Gant 43% (9 pts)	Kyara Champagne 29% (6 pts)	Mazzy O'Brien 25% (5 misses)	Mia Carter 25% (5 misses)
Above-break 3 center	7-18	38.9	21	Chloe Sisco 29% (6 pts)	Mazzy O'Brien 29% (6 pts)	Chloe Sisco 27% (3 misses)	Marisa Gant 27% (3 misses)
Above-break 3 right	11-42	26.2	33	Marisa Gant 36% (12 pts)	Mia Carter 27% (9 pts)	Marisa Gant 29% (9 misses)	Mazzy O'Brien 23% (7 misses)