Pittsburgh - 2026-2027

2026-2027 Team Stats (4 games)

101.0

PPG

44.5

Opp

+56.5

Margin

48.0%

FG%

39.5%

3P%

67.7%

FT%

45.5

RPG

22.3

APG

11.5

TO

76.7

Est. poss./game

82.0

Adj PPG

57.4

Adj Opp PPG

#38

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 1042 (returning production + recruiting): last season 902, returning -98, transfers +237, freshmen +0 More →	1057 (#130)	Preseason prior 1042 (returning production + recruiting): last season 902, returning -98, transfers +237, freshmen +0
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. HCA +169 elo More →	1048 (#123)	HCA +169 elo
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +169 elo More →	1047 (#123)	HCA +169 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +1.7 More →	+22.5 (#37)	HCA +1.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +1.6 More →	+22.6 (#37)	HCA +1.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More →	0.976 (#30)	-
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +35.2 More →	0.869 (#42)	AdjNet +35.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +33.9 More →	0.871 (#44)	AdjNet +33.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 82.0 \| AdjD 57.4 More →	0.806 (#38)	AdjO 82.0 \| AdjD 57.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.2 \| AdjD 57.4 More →	0.808 (#37)	AdjO 82.2 \| AdjD 57.4
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 →	0.813 (#50)	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 →	0.813 (#50)	Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 191 \| GP 3 More →	1073 (#113)	RD 191 \| GP 3
Adjusted Context Blend Adjusted Context Blend Chronologically trained component blend with rest and signed venue context. Chronological component blend with rest and venue. More →	0.742 (#80)	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
2026-11-03	vs	Saint Peter's Peacocks	W	81 - 52
2026-11-07	vs	Long Island University Sharks	W	92 - 42
2026-11-10	vs	Delaware State Hornets	W	129 - 51
2026-11-14	vs	Charleston Southern Buccaneers	W	102 - 33
2026-11-18	vs	UMBC Retrievers	-	Preview
2026-11-21	vs	Canisius Golden Griffins	-	Preview

2026-2027 Roster

Show Alumni If everyone stayed four years

Estimated Minutes by Position

Estimated from roster positions, box scores and minutes played. Each column totals one game's minutes, divided among the players. 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%
Taryn Barbot	G	4	34.2	25.5	4.5	5.2	4.8	0.2	2.0	19.5	18.8	121	3	40.3	45.9	46.2	42.1	73.7	2.96	59.1	56.4
Meredith Venner	C	4	26.5	14.2	9.0	0.2	2.0	1.0	1.0	9.0	16.5	119	3	39.7	53.7	63.9	0.0	64.7	2.46	65.5	63.9
Maysen Hill	G	4	25.0	11.2	3.5	1.5	3.2	0.2	2.2	9.2	8.2	101	3	33.7	52.2	48.6	33.3	50.0	3.22	58.0	58.1
Macie Arzner	G	4	16.0	10.8	3.5	1.8	1.0	0.2	0.8	6.0	10.5	71	3	23.7	69.0	62.5	60.0	80.0	2.73	82.1	81.2
Jami Hill	G	4	17.2	10.2	3.5	1.5	1.8	0.8	0.2	7.8	9.8	62	3	20.7	47.5	48.4	42.9	66.7	0.87	63.4	62.9
Alancia Ramsey	F	4	22.5	9.8	6.5	0.8	1.5	0.5	1.5	6.8	10.8	92	3	30.7	55.9	51.9	33.3	56.2	1.89	57.3	55.6
Taylor Barbot	G	4	30.2	6.2	4.0	9.0	1.8	0.5	1.0	8.5	12.0	125	3	41.7	50.7	26.5	20.0	71.4	1.46	33.7	29.4
Madison Crawford	G	4	7.5	5.5	1.0	0.5	1.2	0.0	1.0	4.2	3.0	19	3	6.3	48.6	29.4	33.3	69.2	-0.23	48.4	38.2
Ande'a Cherisier	C	4	9.8	4.8	4.0	0.8	0.0	0.2	0.8	3.2	5.8	32	3	10.7	44.3	61.5	0	75.0	-1.17	64.4	61.5
Jazmyne Bynum	G	4	9.0	2.8	0.5	1.0	0.8	0.0	0.2	1.8	3.0	43	3	14.3	65.7	42.9	33.3	80.0	1.27	59.8	50.0
CeCe Legaspi	G	0	-	0.0	0.0	0.0	-	-	-	-	-	-	-	-	-	-	-	-	-	-	-
Avery Watkins	F	1	8.0	0.0	2.0	0.0	1.0	0.0	1.0	0.0	2.0	-	-	-	-	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

Alumni in the Pros

Every program's alumni →

Former Pittsburgh players in WNBA 2026, matched by provider player ids (ESPN athlete ids, ESPN bios, linked StatsNBA/EuroLeague ids). Only games after their last Pittsburgh 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
Liatu King	2020-24	WNBA	Minnesota Lynx	12	8.7	3.5	2.3	0.2	09-24 2 pts, 1 reb, 0 ast	no games

Alumni around the leagues: recent games

Date	Player	League	Team	Opponent	MIN	PTS	REB	AST	Box
2026-09-24	Liatu King	WNBA	Minnesota Lynx	vs Indiana Fever	9	2	1	0	Box
2026-09-22	Liatu King	WNBA	Minnesota Lynx	@ Indiana Fever	20	12	4	2	Box
2026-09-20	Liatu King	WNBA	Minnesota Lynx	@ Connecticut Sun	1	2	0	0	Box

2026-2027 Shot Zones

304 located field-goal attempts in 4 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

Taryn BarbotMeredith VennerMaysen HillMacie ArznerAlancia RamseyTaylor BarbotAnde'a Cherisier

Zone	FGM-FGA	FG%	Pts	Top scorer	Runner-up	Most misses	Runner-up
Restricted area	51-82	62.2	102	Meredith Venner 29% (30 pts)	Alancia Ramsey 20% (20 pts)	Alancia Ramsey 19% (6 misses)	Taryn Barbot 19% (6 misses)
Paint (non-RA)	33-69	47.8	66	Taryn Barbot 30% (20 pts)	Meredith Venner 21% (14 pts)	Taryn Barbot 28% (10 misses)	Taylor Barbot 25% (9 misses)
Mid-range left	5-15	33.3	10	Ande'a Cherisier 20% (2 pts)	Jami Hill 20% (2 pts)	Meredith Venner 20% (2 misses)	Taryn Barbot 20% (2 misses)
Mid-range center	2-3	66.7	4	Taryn Barbot 100% (4 pts)	-	Taylor Barbot 100% (1 misses)	-
Mid-range right	6-11	54.5	12	Taylor Barbot 50% (6 pts)	Macie Arzner 33% (4 pts)	Taryn Barbot 40% (2 misses)	Taylor Barbot 40% (2 misses)
Left corner 3	10-26	38.5	30	Macie Arzner 40% (12 pts)	Jami Hill 30% (9 pts)	Taryn Barbot 31% (5 misses)	Jami Hill 19% (3 misses)
Right corner 3	7-23	30.4	21	Taryn Barbot 29% (6 pts)	Jami Hill 14% (3 pts)	Maysen Hill 31% (5 misses)	Taryn Barbot 31% (5 misses)
Above-break 3 left	12-32	37.5	36	Maysen Hill 25% (9 pts)	Taryn Barbot 25% (9 pts)	Maysen Hill 30% (6 misses)	Jami Hill 25% (5 misses)
Above-break 3 center	4-8	50.0	12	Alancia Ramsey 25% (3 pts)	Madison Crawford 25% (3 pts)	Taryn Barbot 50% (2 misses)	Meredith Venner 25% (1 misses)
Above-break 3 right	16-35	45.7	48	Taryn Barbot 50% (24 pts)	Jami Hill 19% (9 pts)	Taryn Barbot 42% (8 misses)	Maysen Hill 16% (3 misses)