San Francisco Giants 4, Milwaukee Brewers 5

baseball game fileFinal
American Family Field · Milwaukee
Boxscore

Key evidence.

Every reported player line, kept in the API’s sport-specific stat vocabulary.

San Francisco Giants boxscore
PlayerPosabavgb2b3bbbfcsererahhbphriplobpopsoutspapitchesrrbisbsfslgsosvtotal baseswwhip
Patrick Bailey4000000000040000020
Heliot Ramos4000000000040000000
Rafael Devers3000100000.2500.25040000000
Willy Adames40.50000002020.5002.50042200218
Casey Schmitt3000100000.2500.25040000010
Jung Hoo Lee4000000000040000010
Dominic Smith1100001001210000101
Matt Gage2400000.667022302003
Ryan Walker0400001.333041702000
Christian Koss2000100000.3330.33330000020
Luis Matos30.66710102010.7502.75042110206
Tyler Fitzgerald000000000000000
Carson Whisenhunt21724.5004040128821001.500
Joey Lucchesi15254200.33301920009
José Buttó0400001.333041702000
Randy Rodríguez0419111131511001
Wilmer Flores3000000100.2500.25040000000
Milwaukee Brewers boxscore
PlayerPosabavgb2b3bbbfcsererahhbphriplobpopsoutspapitchesrrbisbsfslgsosvtotal baseswwhip
Christian Yelich30.33300101000.5000.833410000.33311
Brice Turang30.33300101100.6000.933510000.33301
Andrew Vaughn30.33300101000.5000.833411000.33301
Sal Frelick40.25010001000.2500.750401000.50022
William Contreras40.50010102010.6002.100512001.50016
Aaron Ashby1714.500112062311001
Trevor Megill0519201031712012
Isaac Collins3000100000.2500.25040000010
Caleb Durbin4000000000040000010
Andruw Monasterio30.33310001100.5001.167410000.66712
Brandon Lockridge4000000000040000010
Jose Quintana22023.375225.3330168222000.750
Shelby Miller1400000.667021802001.500

Comparison

Side by side.

Final

Analysis preview// illustrative example, not this page's real data
sample · team comparisonexample only
a:"Team A"b:"Team B"
Offensive ratingA 114.2 · B 108.9
Recent form (L10)A 6-4 · B 6-4
Head-to-headB leads 3-1
GET /v1/analysis/compare-teams?a=…&b=…Run this yourself via the API
Built on the StatHawk API

The page is the demo.

These requests and request patterns show how this page gets data from the same REST API and MCP server you can use in your own app or agent.

View this page's API recipe

Use the authenticated requests or fill in the labeled request templates, then adapt the response in your own product.

Authenticated request · GET /v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0
curl "https://api.statshawk.ai/v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/boxscore
curl "https://api.statshawk.ai/v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/boxscore" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/matchup
curl "https://api.statshawk.ai/v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/matchup" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/play-by-play?detail=full
curl "https://api.statshawk.ai/v1/contests/cst_06fjvyappdvb5eje4w2esfhrt0/play-by-play?detail=full" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Try with MCP

Connect StatHawk to your agent, then ask it to explain and extend the data shown on this page.

Build this view in the API reference
$claude mcp add statshawk https://mcp.statshawk.ai/mcp