BetMGM

Live coverage of BetMGM via the ParlayAPI moneyline / spread / total / player-prop aggregator. Classification: US retail sportsbook. Source key: betmgm.

Supported sports + markets (last 72h)

americanfootball_ncaaf (4 markets)

• spreads 33,479 rows
• moneyline 26,820 rows
• totals 13,344 rows
• player_anytime_td 5,479 rows

americanfootball_nfl (15 markets)

• player_anytime_td 27,644 rows
• Q1_h2h 13,208 rows
• Q1_spread 13,208 rows
• 1H_h2h 13,208 rows
• 1H_spread 13,208 rows
• 1H_total 13,208 rows
• Q1_total 13,208 rows
• player_rush_yds 13,010 rows
• player_rec_yds 10,423 rows
• player_receptions 9,444 rows
• spreads 8,598 rows
• moneyline 8,594 rows
• player_pass_tds 6,191 rows
• player_pass_yds 6,172 rows
• totals 4,291 rows

baseball_mlb (3 markets)

• spreads 4,735 rows
• moneyline 1,065 rows
• totals 495 rows

basketball_nba (3 markets)

• spreads 3,978 rows
• moneyline 3,275 rows
• totals 1,192 rows

basketball_wnba (3 markets)

• spreads 46 rows
• moneyline 46 rows
• totals 23 rows

icehockey_nhl (3 markets)

• spreads 2,076 rows
• moneyline 1,473 rows
• totals 581 rows

soccer_epl (2 markets)

• moneyline 47 rows
• h2h 13 rows

soccer_france_ligue_one (2 markets)

• moneyline 53 rows
• h2h 16 rows

soccer_germany_bundesliga (2 markets)

• moneyline 157 rows
• h2h 46 rows

soccer_italy_serie_a (2 markets)

• moneyline 28 rows
• h2h 11 rows

soccer_spain_la_liga (2 markets)

• moneyline 54 rows
• h2h 16 rows

soccer_usa_mls (2 markets)

• moneyline 64 rows
• h2h 16 rows

tennis_atp (2 markets)

• totals 209 rows
• spreads 114 rows

tennis_wta (2 markets)

• totals 1,310 rows
• spreads 322 rows

How to query just this book

curl -s 'https://parlay-api.com/v1/sports/baseball_mlb/odds?regions=us&markets=h2h&bookmakers=betmgm' \
  -H "X-API-Key: $PARLAY_API_KEY"

How freshness is graded

We poll BetMGM 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 BetMGM, 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=betmgm.

Related

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