Siena Saints 42, UAlbany Great Danes 67

basketball game fileFinal
Broadview Center · Albany
Boxscore

Key evidence.

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

Team line

Siena Saints
Siena Saints boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Valencia Fontenelle-Posson–1010.25082–0015104230030
Garrisen Freeman–100–000.5004216112100–00
Azera Gates–000010–005110102–00
Caydence Hadley–0000.400520.6676416028000010
Nicole Melious–100030–0024100102010
Dallas Pierce–000111–005003000111
Zyriah Price–1260.28672–0019345903111
Alexis Rosenfeld–000–00–000000000–00
Francesca Schiro–0040.308134–0026138502040
Kaiya Rain Tucker–1110.37583–0024336410–00
Jamariah Turner–1000.28672–00192252040.20051
Olivia Watkins–000–00–004000000–00
Genevive Wedemeyer–2010300.5002127031102020
Alden Yergey–000–00–000000000–00
UAlbany Great Danes boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Martina Borrellas–2070.667960.5002126331510070.66732
Gabriela Falcao–214020–0024210601–00
Nila Giraud–000–00–000000000–00
Emma Hákonardóttir–000030–003000000020
Delanie Hill–2040.60053144301110513010
Lara Langermann–4010.833650.50021310114102133
Anais Levasseur–000020–0017100110010
Julia Palomo Vicente–3000.33362–00270360300.33362
Amaya Stewart–1150.667960.83365200217512–00
Bella Stuart–110111–0013213212111
Laura Vera Ramirez–000010–002000000–00
Emma Zuccon–0010.50021–007022100010

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_06fhm6e3vdz97b9e475v7qq9mg
curl "https://api.statshawk.ai/v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/boxscore
curl "https://api.statshawk.ai/v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/boxscore" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/matchup
curl "https://api.statshawk.ai/v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/matchup" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/play-by-play?detail=full
curl "https://api.statshawk.ai/v1/contests/cst_06fhm6e3vdz97b9e475v7qq9mg/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