This game · 126 FGA|Season model · 290 games · 39,575 shots
Golden State Valkyries won by getting the better shots.

led the way with 13 points on 5-for-7 (71%), including 2-for-3 from three — 5.4 more than expected on a night most looks were tough (29% from the rim or corner).
- Golden State Valkyries created 5.0 more expected points from field-goal attempts.
- Golden State Valkyries outperformed expected value by 3.3 points on makes and misses.
- Q2 swung the look battle — Golden State Valkyries built a +5.3 expected-point edge in that period.
Shot quality
Shot diet
Golden State Valkyries (14% good looks) and Los Angeles Sparks (8% good looks) ran comparable diets with small zone-by-zone differences.

bailed out the offense from the midrange — 4/4 from short midrange, a zone most players avoid for good reason.
This is where the shot diets diverged most — 30% of Los Angeles's attempts came from short midrange vs 17% of Golden State's; Los Angeles settled here more often (30% vs 17%).
This is where the shot diets diverged most — 30% of Los Angeles's attempts came from short midrange vs 17% of Golden State's; Los Angeles settled here more often (30% vs 17%).
Possession context
LA ran more early offense in this game.
Los Angeles Sparks got 25% of FGA in transition (0.88 expected pts/att) vs 12% for Golden State Valkyries (0.93 expected pts/att).
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 29.0 pts
Golden State Valkyries won the turnover battle by 6 (16 total TO).
Turnovers never enter the shot log — a clean process win even when looks were even.
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 insightZandalasini lived in the midrange — 58% of attempts from tough spots, dragging shot quality down.
Expected value is an estimate from public shot data — location, shooter history, and shot clock. No defender distance, closeout speed, spacing, or proprietary tracking.
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