Intro
The Player Betting Trends endpoint provides detailed insights into individual player performance in various betting scenarios. Player betting trends are available for various sport-specific individual performance metrics, such as hits, points scored, rushing yards, and other relevant statistics. By analyzing historical data and context-dependent trends, users can understand how players perform under different conditions.
An example of a player betting trend can be seen below:
Betting Markets Offered
- Total passing yards (including overtime)
- Total passing touchdowns (including overtime)
- Total passing attempts (including overtime)
- Total rushing yards (including overtime)
- Total carries (including overtime)
- Total receiving yards (including overtime)
- Total receptions (including overtime)
- Total passing interceptions (including overtime)
- Total rushing plus receiving yards (including overtime)
- Anytime touchdown scorer
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 |
| Performance against teams with a winning or losing record |
| Performance as a favorite or underdog in the matchup |
Opponent | Performance against specific opponents |
After Result* | Performance after a win or loss in the previous game |
Monday Night | Performance during Monday Night Football |
Thursday Night | Performance during Thursday Night Football |
After Bye | Performance after a bye week |
| Performance as a favorite with a spread of seven points or more |
| Performance as an underdog with a spread of seven points or more |
| Performance as a favorite with a spread of less than seven points |
| Performance as an underdog with a spread of less than seven points |
Primetime | Performance during primetime games |
SeasonType | Performance in postseason 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 |
| Performance against teams with a top 10 pass defense |
| Performance against teams with a bottom 10 pass defense |
| Performance against teams with a top 10 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
- Aaron Rodgers has exceeded 3.5 rushing yards in 10 of his last 13 games as a favorite (4.5 rushing yards/game on average)
- Aaron Rodgers has failed to exceed 242.5 passing yards in 6 of his last 10 games (239.5 passing yards/game average)
- Aaron Rodgers has failed to exceed 1.5 passing TDs in each of his last 5 games against top 10 passing defenses (1.0 passing TDs/game on average)
Two-Parameter Scenarios
| Performance at home or on the road as a favorite or underdog |
| Performance based on game location (home/away) and the opponent's winning percentage |
| Performance based on game location (home/away) and facing a team with a bottom 10 scoring defense |
| Performance based on game location (home/away) and facing a team with a top 10 scoring defense |
| Performance based on game location (home/away) and the result of the previous game |
*Only available after first game of season (i.e. does not go back to previous season)
^ Available after week 4
Two-parameter Scenario Examples
- Aaron Rodgers has exceeded 242.5 passing yards in each of his last 6 games on the road against bottom 10 passing defenses (272.0 passing yards/game average)
- Aaron Rodgers has exceeded 36.5 passing attempts in each of his last 5 games at home against divisional opponents (39.5 passing yards/game average)
- Aaron Rodgers has exceeded 1.5 passing TDs in 4 of his last 5 games when favored by a touchdown or more (2.0 passing touchdowns/game on average)
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.
- prop_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 prop_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.
- seasontype_lastn: List of the season type (e.g., REG, PST) for the n games in the trend
- best: Indicates whether this is the best available odds or line for the event (true / false).
- position: The position of the player in the context of the data (e.g., P for pitcher).
- market_id: The unique identifier for the betting market.
- over_odds: The betting odds for the over.
- exceed_lastn: The number of times the line was exceeded in the n games in the trend
- participant_id: The unique sportradar US-id (UUID) for the participant (player).
- mean_performance: The player’s average performance for the statistic of interest in the games covered by the trend
- player_relevance: The relevance score of the player associated with the trend
- participant_sr_id: The unique sportradar id (srid) for the participant (player)
- participant_full_name: The full name of the participant (player).