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 (3 markets)

• spreads 614 rows
• moneyline 540 rows
• totals 309 rows

americanfootball_nfl (4 markets)

• player_super_bowl_61_winner 192 rows
• player_spread 96 rows
• player_money_line 84 rows
• player_total_points 50 rows

baseball_mlb (22 markets)

• player_hits_alt 1,950 rows
• player_home_runs_alt 1,435 rows
• player_runs_alt 951 rows
• player_rbis 837 rows
• player_home_runs 718 rows
• player_singles 673 rows
• player_runs 541 rows
• player_strikeouts_alt 468 rows
• player_hits_runs_rbis 427 rows
• player_total_bases 402 rows
• player_run_line 132 rows
• player_money_line 128 rows
• player_outs 94 rows
• player_strikeouts 85 rows
• spreads 82 rows
• moneyline 82 rows
• player_total_runs 69 rows
• player_earned_runs 66 rows
• player_hits_allowed 63 rows
• player_doubles 61 rows

basketball_nba (2 markets)

• player_spread 36 rows
• player_money_line 35 rows

basketball_wnba (16 markets)

• player_rebounds_alt 562 rows
• player_assists_alt 309 rows
• player_points_alt 301 rows
• player_points 90 rows
• player_rebounds 81 rows
• player_threes 74 rows
• player_threes_made_milestones_2_or_more 69 rows
• player_threes_made_milestones_3_or_more 64 rows
• player_pts_rebs_asts 63 rows
• player_assists 58 rows
• player_pts_rebs 56 rows
• player_threes_made_milestones_1_or_more 55 rows
• player_pts_asts 52 rows
• player_rebs_asts 49 rows
• player_threes_made_milestones_4_or_more 35 rows
• spreads 22 rows

soccer_epl (1 markets)

• h2h 37 rows

soccer_germany_bundesliga (1 markets)

• h2h 77 rows

soccer_italy_serie_a (1 markets)

• h2h 74 rows

soccer_other (1 markets)

• player_match_betting 133 rows

soccer_spain_la_liga (1 markets)

• h2h 74 rows

soccer_usa_mls (2 markets)

• h2h 1,078 rows
• moneyline 194 rows

tennis_atp (3 markets)

• moneyline 106 rows
• spreads 48 rows
• totals 24 rows

tennis_atp_us_open (1 markets)

• moneyline 200 rows

tennis_wta (2 markets)

• moneyline 40 rows
• spreads 40 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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