This game · 131 FGA|Season model · 290 games · 39,575 shots
Chicago Sky won on finishing, not shot quality.

led the way with 17 points on 5-for-10 (50%), headlined by 5-for-5 from above the break — 5.4 more than expected overall on a night most other looks were tougher, with Sydney Taylor close behind (+4.7 on 14 points).
- Golden State Valkyries created 4.7 more expected points from field-goal attempts.
- Both teams finished below expectation — Chicago Sky held up better (2.0 pts below expected).
- Laeticia Amihere carried the finishing gap — +7.0 vs expected on 16 points.
Shot quality
Shot diet
Golden State Valkyries lived in the midrange (27%) while Chicago Sky was at 13% — a cleaner profile for Chicago Sky.

carried the offense at the rim — 6/6 in the restricted area.
This is where the shot diets diverged most — 26% of Golden State's attempts came from above-arc threes vs 39% of Chicago's; Chicago tilted here more (39% vs 26%).
This is where the shot diets diverged most — 26% of Golden State's attempts came from above-arc threes vs 39% of Chicago's; Chicago tilted here more (39% vs 26%).
Possession context
GSV earned cleaner half-court looks.
Golden State Valkyries at 0.95 half-court expected pts/att vs Chicago Sky at 1.09 — set-defense quality separated more than transition volume.
Inferred from ESPN play-by-play — transition, steals, and offensive rebounds before each FGA. Not official possession tracking.
Process scorecard
Full process edge
Golden State Valkyries won by 7.2 pts
Golden State Valkyries won 3 of 3 process categories outside the shot log.
Free throws, turnovers, and offensive rebounds come from ESPN box scores — complementary to FGA-only shot quality above.
Tracked FGA
ESPN box score
Process value (pts)
Process total = expected pts from shots + finishing + free throws − turnover cost + second-chance value (1.05 expected pts per OReb). SQ edge alone ignores the last three terms.
Player shots
Key insightCardoso found the right spots (67% from the rim or corner) but couldn't finish — -4.4 below expected on those looks.
Expected value is an estimate from public shot data — location, shooter history, and shot clock. No defender distance, closeout speed, spacing, or proprietary tracking.
Learn how it works →




