Seattle Storm 95, Chicago Sky 57

basketball game fileFinal
Wintrust Arena · Chicago
Boxscore

Key evidence.

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

Team line

Seattle Storm
Seattle Storm boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Skylar Diggins–3260.5001471442511217020.50063
Alysha Clark–304122–0019024400–00
Gabby Williams–7140.44494122240010431030
Nneka Ogwumike–1020.500105–00201310322030
Erica Wheeler–4030.500105–002404133100.75043
Zia Cooke–1010101228002101–00
Mackenzie Holmes–000–00–006110110–00
Ezi Magbegor–1340.500630.6005323119510010
Dominique Malonga–3270.667960.500211735141002111
Katie Lou Samuelson–000–00–000000000–00
Lexie Brown–200155–00160212022122
Tiffany Mitchell–000030–0018110110–00

Team line

Chicago Sky
Chicago Sky boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Angel Reese–000–00–000000000–00
Rachel Banham–1120.3641140.750432901132040.25082
Kamilla Cardoso–00110.625850.750432826131312–00
Courtney Vandersloot–000–00–000000000–00
Maddy Westbeld–2110.11191–00251132120.25041
Elizabeth Williams–3130.62585111271211413–00
Hailey Van Lith–5010.3758312224018101–00
Ariel Atkins–000–00–000000000–00
Rebecca Allen–3010200.5004221002113020
Kia Nurse–0040.182112–00323457020.16761
Michaela Onyenwere–000–00–000000000–00
Moriah Jefferson–000–00–001000000–00
Marquesha Davis–0000.20051–0013112102010

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_06fjw99v2hyn10zng6c0f61nbm
curl "https://api.statshawk.ai/v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/boxscore
curl "https://api.statshawk.ai/v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/boxscore" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/matchup
curl "https://api.statshawk.ai/v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/matchup" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/play-by-play?detail=full
curl "https://api.statshawk.ai/v1/contests/cst_06fjw99v2hyn10zng6c0f61nbm/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