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 (7 markets)

• spreads 32,054 rows
• moneyline 31,171 rows
• totals 15,530 rows
• player_anytime_td 6,216 rows
• player_rec_yds 2,481 rows
• player_rush_yds 1,728 rows
• player_pass_yds 1,095 rows

americanfootball_nfl (15 markets)

• player_anytime_td 24,523 rows
• player_rec_yds 8,891 rows
• moneyline 8,155 rows
• spreads 8,153 rows
• player_receptions 7,948 rows
• player_rush_yds 6,956 rows
• totals 4,079 rows
• 1H_spread 4,030 rows
• Q1_total 4,030 rows
• 1H_h2h 4,030 rows
• Q1_spread 4,030 rows
• Q1_h2h 4,030 rows
• 1H_total 4,030 rows
• player_pass_yds 3,695 rows
• player_pass_tds 3,673 rows

basketball_nba (3 markets)

• moneyline 2,629 rows
• spreads 2,567 rows
• totals 1,206 rows

basketball_wnba (3 markets)

• spreads 622 rows
• moneyline 622 rows
• totals 311 rows

icehockey_nhl (3 markets)

• spreads 1,330 rows
• moneyline 1,312 rows
• totals 632 rows

soccer_epl (2 markets)

• moneyline 2 rows
• h2h 1 rows

soccer_france_ligue_one (2 markets)

• moneyline 8 rows
• h2h 2 rows

soccer_germany_bundesliga (2 markets)

• moneyline 6 rows
• h2h 3 rows

soccer_italy_serie_a (2 markets)

• moneyline 15 rows
• h2h 7 rows

soccer_spain_la_liga (2 markets)

• moneyline 10 rows
• h2h 4 rows

soccer_usa_mls (2 markets)

• moneyline 38 rows
• h2h 10 rows

tennis_atp (2 markets)

• spreads 1,229 rows
• totals 708 rows

tennis_wta (2 markets)

• totals 608 rows
• spreads 316 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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