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)

• player_anytime_td 32,943 rows
• spreads 29,760 rows
• moneyline 29,694 rows
• totals 14,870 rows
• player_rec_yds 13,411 rows
• player_rush_yds 12,865 rows
• player_pass_yds 7,250 rows
• player_receptions 6,694 rows
• player_pass_tds 5,152 rows

americanfootball_nfl (12 markets)

• player_anytime_td 27,508 rows
• player_rec_yds 10,321 rows
• player_rush_yds 10,222 rows
• player_receptions 10,192 rows
• moneyline 8,166 rows
• spreads 8,166 rows
• totals 4,083 rows
• 1H_spread 4,030 rows
• 1H_h2h 4,030 rows
• 1H_total 4,030 rows
• player_pass_yds 3,662 rows
• player_pass_tds 3,657 rows

basketball_nba (3 markets)

• moneyline 3,013 rows
• spreads 2,416 rows
• totals 1,485 rows

basketball_wnba (3 markets)

• moneyline 628 rows
• spreads 624 rows
• totals 312 rows

icehockey_nhl (2 markets)

• moneyline 1,290 rows
• totals 650 rows

soccer_epl (2 markets)

• moneyline 2 rows
• h2h 1 rows

soccer_france_ligue_one (2 markets)

• moneyline 2 rows
• h2h 1 rows

soccer_germany_bundesliga (1 markets)

• moneyline 5 rows

soccer_italy_serie_a (2 markets)

• moneyline 14 rows
• h2h 4 rows

soccer_spain_la_liga (2 markets)

• moneyline 4 rows
• h2h 1 rows

soccer_usa_mls (2 markets)

• moneyline 15 rows
• h2h 3 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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