Docs
Coverage MatrixDocumentationChange LogLog InContact Us
Docs

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
Opponent WP
(Winning
Percentage)
Performance against teams with a winning or losing record
Favorite /
Underdog
Performance as a favorite or underdog in the matchup
OpponentPerformance against specific opponents
Monday NightPerformance during Monday Night Football
Thursday NightPerformance during Thursday Night Football
After Result*Performance after a win or loss in the previous game
After ByePerformance after a bye week
Seven Over
(Favorite)
Performance as a favorite with a spread of seven points or more
Seven Over
(Underdog)
Performance as an underdog with a spread of seven points or more
Under Seven
(Favorite)
Performance as a favorite with a spread of less than seven points
Under Seven
(Underdog)
Performance as an underdog with a spread of less than seven points
PrimetimePerformance during primetime games
Last 5Performance in the last 5 games
Last 10Performance in the last 10 games
Vs Top Defense^Performance against teams with a top 10 scoring defense
Vs Bottom Defense^Performance against teams with a bottom 10 scoring defense
Vs Top Pass
Defense^
Performance against teams with a top 10 pass defense
Vs Bottom Pass
Defense^
Performance against teams with a bottom 10 pass defense
Vs Top Rush
Defense^
Performance against teams with a top 10 rush defense
Vs Bottom Rush
Defense^
Performance against teams with a bottom 10 rush defense

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

^ Available after Week 4


One-Parameter Scenario Examples

  • The Buffalo Bills are 4-1 (.800) against the spread over the last 5 games
  • The over hit in each of the Buffalo Bills last 6 games against Miami
  • The Buffalo Bills are 1-4 (.200) against the spread in primetime over their last 10 games

Two-Parameter Scenarios

Scenario / FilterDescription
Home / Away +
Favorite / Underdog
Performance at home or on the road as a favorite or underdog
Last 5 + Home / AwayPerformance 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 5 + After ByePerformance in the last 5 games after a bye week
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
Last 10 + After ByePerformance in the last 10 games after a bye week
Home / Away +
Opponent WP^
Performance based on game location (home/away) and the opponent's winning percentage
Home / Away + Bottom
Defense^
Performance based on game location (home/away) and facing a team with one of the bottom defenses
Home / Away + Top
Defense^
Performance based on game location (home/away) and facing a team with one of the top defenses
Home / Away + After
Result^
Performance based on game location (home/away) and the result of the previous game

^ Available after Week 4


Two-Parameter Scenario Examples

  • The Buffalo Bills are 0-5--1 (.000) against the spread off a win over their last 6 games
  • The over hit in 2 of the Buffalo Bills last 10 games, on the road against the New York Jets
  • The Buffalo Bills are 3-12 (.200) at home after a win over their last 15 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