Live coverage of Maverick Games via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: Canadian retail sportsbook. Source key: maverick_games.
player_over_under 2,930 rowsh2h 376 rowseuro_over_under 273 rowsovertime_yes_no 172 rowsplayer_total 154 rowsatt 129 rowshtt 119 rowseuro_handicap 83 rowstotals_by_range 82 rowsthree_way_over_under 53 rowsteam_highest_scoring_period 39 rowsboth_teams_to_score_at_least 38 rowsrace_to 36 rowsodd_even 36 rowsatoe 34 rowshtoe 34 rowsmaverick_market_7 3,169 rowstotals 2,903 rowsplayer_total 2,744 rowsmaverick_market_26 2,734 rowsplayer_score_two_and_more 2,603 rowsplayer_scorer_header 829 rowsh2h 688 rowswbh 106 rowsboth_to_score 77 rowsmaverick_market_69 64 rowseuro_over_under 47 rowsh2h 56 rowseuro_over_under 8 rowscurl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=maverick_games' \
-H "X-API-Key: $PARLAY_API_KEY"
We poll Maverick Games on the US marquee book freshness tier, which means we expect a new observation within 15s under healthy operation. Observations between 15s and 60s are flagged "degraded". Between 60s and 300s we mark "breach" and page an operator. Beyond 300s the source is "stale" and we typically pause comparisons against it until it recovers.
These thresholds are measured on the book as a whole: they say how long we can go without any new price from Maverick Games, and not how old the price on one particular game is. A source that walks its slate one event at a time refreshes any single market less often than the tier above. Measured on production 2026-07-31, Fliff wrote a price every 5.3s at the median book-wide while its median WNBA game went 169s between writes, both healthy. For the age of a specific price, read the last_update field on that row rather than this tier.
Full per-book threshold table at /v1/meta/per-book-sla. Live operator dashboard at /uptime. Historical hourly observation rate at /v1/historical/source-quality.csv?source=maverick_games.
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