Intro
The Team Betting Trends endpoint delivers comprehensive data on team performance across multiple scenarios. Users can explore how teams perform in different settings, including home or away games, as favorites or underdogs, and against specific opponents. This information is invaluable for making informed bets and understanding team dynamics.
An example of a team betting trend can be seen below:
Betting Markets Offered
- Moneyline (who will win the game)
- Total (combined runs scored by both teams)
One-Parameter Scenarios
| Scenario / Filter | Description |
|---|---|
| Straight Up | Performance over last X games without any specific conditions |
| Home / Away | Performance based on whether the game is at home or on the road |
| Opponent WP (Winning Percentage) | Performance against teams with a winning or losing record |
| Favorite / Underdog | Performance as a favorite or underdog in the matchup |
| After Result* | Performance after a win or loss in the previous game |
| Opponent | Performance against specific opponents |
| Season Type | Performance in postseason games |
| Last 5 | Performance in the last 5 games |
| Last 10 | Performance in the last 5 games |
* Only available after first game of the season (i.e. does not go back to previous season)
One-parameter scenario examples
- The Los Angeles Dodgers are 26-16(.619) on the road this season
- The over hit in 6 of the Los Angeles Dodgers last 7 games against the San Francisco Giants
- The Los Angeles Dodgers are 0-5 (.000) off a win over their last 5 games
Two-Parameter Scenarios
| Scenario / Filter | Description |
|---|---|
| Home / Away + After Result* | Performance on the road or at home after a win or loss |
| Home / Away + Opponent WP | Performance at home or on the road against teams with a winning or losing record |
| Home / Away + Favorite / Underdog | Performance at home or on the road as a favorite or underdog |
| This Season + Home / Away | Performance this season at home or on the road |
| This Season + Favorite / Underdog | Performance this season as a favorite or underdog |
| Last 5 + Home / Away | Performance in the last 5 games at home or on the road |
| Last 5 + Favorite / Underdog | Performance in the last 5 games as a favorite or underdog |
| Last 10 + Home / Away | Performance in the last 10 games at home or on the road |
| Last 10 + Favorite / Underdog | Performance in the last 10 games as a favorite or underdog |
* Only available after first game of the season (i.e. does not go back to previous season)
Two-Parameter Scenario examples
- The over hit in 3 of the Los Angeles Dodgers last 9 games on the road after a win
- The Los Angeles Dodgers are 43-17 (.717) vs. the Arizona Diamondbacks at home off a loss over their last 60 games
- The Los Angeles Dodgers are 11-3 (.786) on the road off a loss over their last 14 games
Data Points
- day: The date of the event in YYYYMMDD format.
- book: The name of the sportsbook providing the odds.
- line: The line associated with the given market (if applicable).
- odds: The betting odds for the market.
- rank: The rank of the trend in the latest set of trends produced
- type: A dictionary containing details about the type of bet:
- flavor: Additional flavor text or subcategory for the bet.
- market: The market type for the bet (e.g., moneyline).
- sport: The sport the data pertains to (e.g., MLB).
- total: The consensus total line for the game
- ngames: The number of games considered in the trend.
- opp_id: The sportradar US-id (UUID) for the opposing team.
- param1: The first parameter defining the scenario/filter for the trend (e.g. “opp”)
- value1: The value of the first parameter (e.g. “NYJ”)
- param2: The first parameter defining the scenario/filter for the trend (if applicable)
- value2: The value of the second parameter.
- spread: The point spread for the game.
- book_id: The unique sportradar identifier for the sportsbook.
- game_id: The unique sportradar US-id (UUID) for the game.
- matchup: The matchup identifier for the event in format:** {AwayTeam}at{HomeTeam}.
- team_id: The unique sportradar US-id (UUID) for the team.
- weekday: The day of the week the game is played.
- trend_id: The unique Fansure assigned identifier for the trend. Same as tracking_id
- cover_pct: The percentage of time the line is exceeded in the games in the trend
- data_type: team_betting_trends
- game_date: The date and time of the game in ISO 8601 format.
- odds_type: The type of odds (e.g., moneyline).
- opp_sr_id: The unique sportradar US-id (UUID) for the opposing team
- statistic: The statistic being referred to by the trend (e.g. for moneyline, statistic = wins)
- team_name: The full name of the team.
- text_long: A detailed description of the trend.
- date_lastn: The dates of the n games which define the trend in ascending order.
- game_sr_id: The unique sportradar id (srid) for the game
- push_lastn: The number of push outcomes in the n games in the trend window.
- team_sr_id: The unique sportradar id (srid) for the team
- text_short: A short description of the trend.
- trackingId: The unique Fansure assigned tracking ID for the trend. Same as trend_id
- trend_type: The type of trend (hot or cold).
- under_odds: The betting odds for the under (if applicable).
- cover_lastn: The number of times the line was exceeded in the n games in the trend
- stats_lastn: List of statistical values associated with each of the n games in the trend
- abbreviation: The abbreviation of the team name.
- content_long: A detailed description of the trend including the odds.
- gameId_lastn: List of the unique sportradar US-id (UUID) for each game in the trend
- losses_lastn: The number of times the line was not exceeded in the n games in the trend
- odds_type_id: The unique sportradar identifier for the odds type.
- matchup_lastn: List of the matchup strings for each game in the trend.
- opp_team_name: The full name of the opposing team.
- interest_score: The interest score for the trend.
- team_relevance: The relevance score of the team associated with the trend
- seasontype_lastn: List of the season type (e.g., REG, PST) for the n games in the trend