Get First-Half Match Statistics API

Request the match-statistics family's first-half variant as a separate candidate source for period-specific match reporting. Requires eventid. No response sample has been verified for this variant. Inspect the returned period, fields and units before using it in a report, and compare it with the separately listed first-half event-statistics operation before selecting a parser or implementing a fallback.

API Features

Match first-half variant request Target the first-half read in the match-statistics family with a selected event.

First-period report suitability Check which returned metrics can actually support a first-half match narrative.

Half-source field coverage audit Compare the available fields with the separate event first-half statistics read.

First-half parser selection Choose a parser from a validated schema instead of sharing one based on similar endpoint names.

Live API Demo

GET /api/project/football/get-match-event-first-half-stats-by-event-id

API Response (JSON)

{}

curl -X GET 'https://api.opendata-api.com/api/project/football/get-match-event-first-half-stats-by-event-id?key=<API_KEY>&eventid=5868072'

curl -X GET 'https://api.opendata-api.com/api/project/football/get-match-event-first-half-stats-by-event-id?key=<API_KEY>&eventid=5868072'

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Need Help?

If you encounter API issues or need other API requirements, please contact us.

Use Cases

Evaluate this variant for generating a first-half section in a match report.
Record endpoint provenance with first-period snapshots used in editorial analysis.
Run a field-coverage comparison before selecting a first-half statistics fallback.
Check that a chosen parser rejects incompatible first-half responses instead of silently mislabeling values.

Frequently asked questions

Which identifier does first-half match statistics require?

Required eventid selects the fixture from search or a match list; this dedicated operation selects the first half.

How does it differ from first-half event statistics?

They are separate variants with no demonstrated compatibility. Compare fields, units and period scope before choosing a source.

Can I directly share a half-statistics parser?

Verify structural compatibility first. Retain provenance and reject incompatible responses rather than mixing values with different meanings.

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