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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 (i.e who will will the game)
  • Total (i.e. combined points scored by both teams)
  • Spread (i.e. the margin by which the favored team is expected to win)

One-Parameter Scenarios

Scenario / FilterDescription
Straight UpPerformance over last X games without any specific conditions
Home / AwayPerformance based on whether the game is at home or on the road
Vs Top DefensePerformance against top defensive teams
Vs Bottom DefensePerformance against bottom defensive teams
B2B Team FlagPerformance in back-to-back games
Opponent WPPerformance against teams with a winning or losing record
Favorite / UnderdogPerformance as a favorite or underdog in the matchup
After Result*Performance after a win or loss in the previous game
OpponentPerformance against specific opponents
Season TypePerformance during different parts of the season
Last 5Performance in the last 5 games
Last 10Performance in the last 10 games

* Only available after first game of season (i.e. does not go back to previous season)


One-Parameter Scenario Examples

  • The Los Angeles Lakers are 20-20 (.500) on the road this season
  • The Los Angeles Lakers are 9/-1 (.900) against the spread over their last 10 games
  • The over hit in each of the Los Angeles Lakers last 5 games against Boston

Two-Parameter Scenarios

Scenario / FilterDescription
Home / Away + Vs
Bottom Defense
Performance at home or on the road against bottom defensive teams
Home / Away + Vs
Top Defense
Performance at home or on the road against top defensive teams
Home / Away + After
Result*
Performance at home or on the road after a win or loss
Home / Away + B2B
Team Flag
Performance at home or on the road in back-to-back games
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
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 season (i.e. does not go back to previous season)


Two-Parameter Scenario Examples

  • The Los Angeles Lakers are 2-6 (.250) against the spread off of a loss over their last 8 games
  • The over hit in 4 of the Los Angeles Lakers last 10 games, on the road against the Lost Angeles Clippers
  • The Los Angeles lakers are 1-4 (.200) at home after a loss over their last 5 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