Marshall Thundering Herd 69, UNC Wilmington Seahawks 78

basketball game fileFinal
Trask Coliseum · Wilmington
Boxscore

Key evidence.

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

Marshall Thundering Herd boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Dezayne Mingo5060.3001030.500633824108130.25041
Wyatt Fricks1020.375830.2867216208401040
Erich Harding02001000702000000
Grant Moore0000000000000000
Will Moore0110.333310090131000.33331
Kai Spears0000000000000000
Jalen Speer1020.28672122270282420.33362
Kaiden White0000000000000000
Kycen Pruett0000000000000000
Obinna Anochili-Killen2530.429730.2504125257503010
Ryan Nutter1000.2005100150230020.25041
Mikal Dawson2020.500105002200122200.28672
Jakob Gibbs0020.66732001230450000
Cade Gibbs0000.66732007034000010
Creighton Thieneman0000000000000000
Nate Martin2040.571740.4005222531090200
UNC Wilmington Seahawks boxscore
PlayerPosastblkdrebfg pctfgafgmft pctftaftmminorebpfptsrebstltovtp pcttpatpm
Khamari McGriff0240.8336513321221360100
Elijah Jamison0000000000000000
JoJo Fullwood0000000000000000
Nolan Hodge2020.167610019032201030
Makoi Mabor Makoi0010000200010000
Noah Ross0000000000000000
Makel Smith0000000000000000
Greedy Williams2040.333620.8336526029422020
Harlan Obioha2110.750430.667321935841400
Donovan Newby2010.5001050.727118330318112030
Joshua Corbin3030.16761122270253000.20051
Sean Moore40140.5451160031201416220.66732
Kendell Cave0000000000000000
Bo Montgomery0220.5006312222029201111
Shane Anthony0000000000000000
Jake Murphy0000000000000000

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_06fhnn1fx5z3551z31rcmjmt6g
curl "https://api.statshawk.ai/v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/boxscore
curl "https://api.statshawk.ai/v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/boxscore" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/matchup
curl "https://api.statshawk.ai/v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/matchup" \
  -H "X-API-Key: sk_live_YOUR_KEY_HERE"
Authenticated request · GET /v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/play-by-play?detail=full
curl "https://api.statshawk.ai/v1/contests/cst_06fhnn1fx5z3551z31rcmjmt6g/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