Fix critical timing inaccuracy: analysis during match, not next day

CORRECTION: Real-time value was incremental analysis DURING live play,
not "Monday match by Tuesday morning."

Business value fixes:
- "same-day insights for Monday coverage" → "live insights for real-time commentary"
- "Monday match analysis by Tuesday morning" → "incremental analysis during live matches"
- Added specific examples: "broadcasters comment on patterns as they emerge"
- Clarified betting markets: "priced during play, not after final whistle"

This accurately reflects that teams, broadcasters, and betting operators
received granular match data incrementally during the 90 minutes of play,
not hours or days later.

Author: saadshahd

src/pages/portfolio/statsbomb.mdx

@@ -91,9 +91,9 @@ Product managers couldn't define new collection requirements without engineering
   <section class="mb-8">
     <Heading level={2} as="h2" class="mb-6">Why This Mattered to Statsbomb's Business</Heading>
 
-Statsbomb provided granular sports analytics to professional clubs, broadcasters, and betting operators—markets where data velocity creates competitive advantage. Teams analyzing opponent patterns hours after matches finished fell behind. Broadcasters needed same-day insights for Monday coverage. Betting markets priced faster with real-time event feeds.
+Statsbomb provided granular sports analytics to professional clubs, broadcasters, and betting operators—markets where data velocity creates competitive advantage. Teams analyzing opponent patterns hours after matches finished fell behind. Broadcasters needed live insights for real-time commentary. Betting markets priced during play, not after final whistle.
 
-The 75% efficiency gain wasn't just operational—it unlocked new revenue streams. Faster collection meant Monday match analysis by Tuesday morning. Multi-sport expansion (soccer to American football) without proportional engineering cost meant entering adjacent markets with existing infrastructure. 10x operational scale without linear staffing growth preserved margins while growing coverage.
+The 75% efficiency gain wasn't just operational—it unlocked new revenue streams. Real-time collection enabled incremental analysis during live matches—broadcasters could comment on possession patterns as they emerged, teams could track opponent tactics in-match. Multi-sport expansion (soccer to American football) without proportional engineering cost meant entering adjacent markets with existing infrastructure. 10x operational scale without linear staffing growth preserved margins while growing coverage.
 
 The architectural separation between rules and execution created a strategic moat: product managers could customize data specifications per client without engineering rewrites. A Premier League club wanting detailed positioning data and a Championship club needing only basic events both ran on the same system—different configurations, same codebase.
   </section>