Odds data schema

Sample file: odds/data/samples/boxing_odds.json

Source: The Odds API v4 — GET /sports/{sport}/odds

Top level

The response is a JSON array of event objects.

[
  {
    "id": "7605c958b8ffbe29c0dcb81e4d2c8a10",
    "sport_key": "boxing_boxing",
    "sport_title": "Boxing",
    "commence_time": "2025-05-10T16:00:00Z",
    "home_team": "Charlie Senior",
    "away_team": "Cesar Ignacio Paredes",
    "bookmakers": [ ... ]
  }
]

Event fields

Field	Type	Description
`id`	string	Unique event id
`sport_key`	string	API sport identifier
`sport_title`	string	Human-readable sport name
`commence_time`	ISO 8601 UTC	Scheduled start
`home_team`	string	Home / first fighter name
`away_team`	string	Away / second fighter name
`bookmakers`	array	List of books offering lines on this event

Bookmaker object

Field	Type	Description
`key`	string	Bookmaker slug (e.g. `unibet_uk`)
`title`	string	Display name
`last_update`	ISO 8601	When this book’s lines were updated
`link`	string \| null	Deep link to event on book site
`sid`	string \| null	Book-specific event id
`markets`	array	Markets offered for this event

Market object

Field	Type	Description
`key`	string	Market type: `h2h` (moneyline), `h2h_lay` (exchange lay), etc.
`last_update`	ISO 8601	Market update time
`outcomes`	array	Selections and prices

Outcome object

Field	Type	Description
`name`	string	Fighter name or `Draw`
`price`	number	Decimal odds (European format)
`link`	string \| null	Selection deep link
`sid`	string \| null	Selection id at book
`bet_limit`	number \| null	Max stake if provided

Implied probability (for arbitrage)

For decimal odds d:

implied_probability = 1 / d

For a single book’s full market (all mutually exclusive outcomes), sum of implied probabilities > 1 indicates book margin (overround).

Cross-book arbitrage (simplified): for each outcome, take the best (highest) decimal odds across books, then:

arb_sum = sum(1 / best_odds_i for each outcome i)

If arb_sum < 1, a risk-free profit is theoretically possible before fees and limits.

Normalized row (recommended for future code)

Column	Example
`event_id`	`7605c958...`
`commence_time`	`2025-05-10T16:00:00Z`
`home_team`	`Charlie Senior`
`away_team`	`Cesar Ignacio Paredes`
`bookmaker_key`	`unibet_uk`
`market_key`	`h2h`
`outcome_name`	`Charlie Senior`
`price`	`1.03`
`implied_prob`	`0.9709`

API usage notes

Responses count against your API quota; check response headers x-requests-remaining.
Region and market query params filter payload size; sample uses uk,eu and h2h.
Prices are decimal in this project (oddsFormat=decimal in fetch script).

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