Caesars

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

Supported sports + markets (last 72h)

americanfootball_ncaaf (9 markets)

• spreads 2,900 rows
• moneyline 2,789 rows
• player_anytime_td 2,102 rows
• totals 1,378 rows
• player_rec_yds 357 rows
• player_rush_yds 284 rows
• player_receptions 237 rows
• player_pass_tds 103 rows
• player_pass_yds 79 rows

americanfootball_nfl (12 markets)

• player_anytime_td 29,373 rows
• player_rush_yds 18,264 rows
• 1H_total 13,234 rows
• 1H_h2h 13,234 rows
• 1H_spread 13,234 rows
• player_rec_yds 11,327 rows
• player_receptions 11,104 rows
• spreads 8,518 rows
• moneyline 8,499 rows
• player_pass_yds 6,536 rows
• player_pass_tds 6,512 rows
• totals 4,261 rows

baseball_mlb (3 markets)

• spreads 4,888 rows
• moneyline 1,014 rows
• totals 527 rows

basketball_nba (3 markets)

• moneyline 2,566 rows
• spreads 1,628 rows
• totals 1,283 rows

basketball_wnba (3 markets)

• spreads 42 rows
• moneyline 42 rows
• totals 21 rows

icehockey_nhl (2 markets)

• moneyline 1,375 rows
• totals 735 rows

soccer_france_ligue_one (2 markets)

• moneyline 24 rows
• h2h 9 rows

soccer_italy_serie_a (2 markets)

• moneyline 6 rows
• h2h 2 rows

soccer_spain_la_liga (2 markets)

• moneyline 12 rows
• h2h 3 rows

soccer_usa_mls (2 markets)

• moneyline 29 rows
• h2h 9 rows

tennis_atp (3 markets)

• moneyline 68 rows
• spreads 68 rows
• totals 34 rows

tennis_wta (3 markets)

• spreads 290 rows
• moneyline 290 rows
• totals 145 rows

How to query just this book

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

How freshness is graded

We poll Caesars 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 Caesars, 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=caesars.

Related

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