Data Model

Overview

The Mr. Doge API is built around a hierarchical data model that represents sports betting data. Understanding this structure is crucial for effectively using the API.

Core Hierarchy

The data follows a top-down hierarchy:

Sport
  └─ Region (e.g., England, Spain, Brazil)
      └─ Competition (e.g., Premier League, La Liga)
          └─ Event (e.g., Arsenal vs Chelsea)
              └─ Market (e.g., Match Result, Over/Under)
                  └─ BetItem (e.g., Home Win, Draw, Away Win)

This hierarchical structure allows you to filter and query data at any level - from all sports down to specific betting options.

Entities

Sport

Represents a sport category supported by the API. Supported Sports:

Soccer (Football)
Basketball
Baseball
American Football
Handball
Tennis
Volleyball
Ice Hockey

Example:

{
  "id": "1",
  "name": "soccer",
}

Region

Geographic areas where competitions take place. Fields:

id - Unique identifier
name - Region name (e.g., “England”, “Spain”)
slug - URL-friendly identifier
sportId - Parent sport
captions - Multilingual translations (en, pt, es)

Example:

{
  "id": "6",
  "caption": "England"
}

Competition

Leagues, tournaments, or championships. Fields:

id - Unique identifier
name - Competition name (e.g., “Premier League”)
slug - URL-friendly identifier
regionId - Parent region
sportId - Parent sport
captions - Multilingual translations

Example:

{
  "id": "847",
  "name": "Premier League",
  "regionId": "6",
  "sportId": "1"
}

Team

Sports teams with associated metadata. Fields:

id - Unique identifier (integer)
name - Team name
sportId - Sport association (integer)
imageId - Image identifier (optional)

Example:

{
  "id": 95450,
  "name": "Arsenal",
  "sportId": 1,
}

Event

Individual matches or games across all sports. Core Fields:

id - Unique identifier (string)
competitionId - Parent competition (integer)
regionId - Parent region (integer)
sportId - Parent sport (integer, optional)
startDateTime - When the event starts (ISO 8601)
status - Event status: upcoming, live, or completed (default: “upcoming”)
views - Number of times event was viewed (default: 0)
metadata - Complete event data including teams, markets, and odds (JSON)

Deprecated Fields: homeTeamId, awayTeamId, and other sport-specific columns are being phased out. All event-specific data is now contained in the metadata JSON field for consistency across all sports.

Event Statuses:

upcoming - Event hasn’t started yet
live - Event is currently in progress
completed - Event has finished

Metadata Structure: The metadata field contains the complete event information including teams, competition details, and all available markets with odds. The structure varies slightly by sport but follows a consistent pattern.

Soccer Event Metadata

{
  "id": "42735719",
  "sportName": "soccer",
  "sportSysname": "SOCCER_MATCH",
  "regionId": 6,
  "regionCaption": "Inglaterra",
  "regionImageId": 92616,
  "competitionId": 1536,
  "competitionCaption": "EFL Cup",
  "homeTeamName": "Arsenal",
  "homeTeamImageId": 95450,
  "awayTeamName": "Brighton",
  "awayTeamImageId": 197280,
  "startDateTime": "2025-10-29T19:45:00+00:00",
  "markets": [
    {
      "marketId": 1488692956,
      "betTypeSysname": "SOCCER_MATCH_RESULT",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6170635657",
          "code": "1",
          "price": 1.78,
          "oddsText": "1.78",
          "isAvailable": true,
          "marketStatistic": null
        },
        {
          "id": "6170635658",
          "code": "X",
          "price": 3.8,
          "oddsText": "3.80",
          "isAvailable": true
        },
        {
          "id": "6170635659",
          "code": "2",
          "price": 5,
          "oddsText": "5.00",
          "isAvailable": true
        }
      ]
    },
    {
      "marketId": 1467305214,
      "betTypeSysname": "SOCCER_UNDER_OVER",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6084771517",
          "code": "O",
          "price": 1.72,
          "oddsText": "1.72",
          "isAvailable": true
        },
        {
          "id": "6084771518",
          "code": "U",
          "price": 2.1,
          "oddsText": "2.10",
          "isAvailable": true
        }
      ]
    }
  ]
}

Basketball Event Metadata

{
  "id": "43148030",
  "sportName": "basketball",
  "sportSysname": "BASKETBALL_GAME",
  "regionId": 1236,
  "regionCaption": "NCAA",
  "regionImageId": 151058,
  "competitionId": 33405,
  "competitionCaption": "NCAA",
  "homeTeamName": "Florida State",
  "homeTeamImageId": 75982,
  "awayTeamName": "Alabama State",
  "awayTeamImageId": 103840,
  "startDateTime": "2025-11-08T00:00:00.0857937+00:00",
  "markets": [
    {
      "marketId": 1499090451,
      "betTypeSysname": "BASKETBALL_MATCH_RESULT_NODRAW",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6211223812",
          "code": "1",
          "price": 1.01,
          "oddsText": "1.01",
          "isAvailable": true
        },
        {
          "id": "6211223813",
          "code": "2",
          "price": 16,
          "oddsText": "16.00",
          "isAvailable": true
        }
      ]
    },
    {
      "marketId": 1499155085,
      "betTypeSysname": "BASKETBALL_MATCH_RESULT_HANDICAP",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6211466532",
          "code": "1",
          "price": 1.85,
          "oddsText": "1.85",
          "isAvailable": true
        },
        {
          "id": "6211466533",
          "code": "2",
          "price": 1.92,
          "oddsText": "1.92",
          "isAvailable": true
        }
      ]
    }
  ]
}

Tennis Event Metadata

{
  "id": "43264270",
  "sportName": "tennis",
  "sportSysname": "TENNIS_SINGLES_MATCH",
  "regionId": 1188,
  "regionCaption": "ITF (F)",
  "regionImageId": 143348,
  "competitionId": 35414,
  "competitionCaption": "EUA - Lincoln (F)",
  "homeTeamName": "Edda Mamedova",
  "homeTeamImageId": 171992,
  "awayTeamName": "Sonja Zhiyenbayeva",
  "awayTeamImageId": 140196,
  "startDateTime": "2025-11-07T18:00:00.0795739+00:00",
  "markets": [
    {
      "marketId": 1499183287,
      "betTypeSysname": "TENNIS_SINGLES_MATCH_WINNER",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6211587059",
          "code": "1",
          "price": 2,
          "oddsText": "2.00",
          "isAvailable": true
        },
        {
          "id": "6211587060",
          "code": "2",
          "price": 1.7,
          "oddsText": "1.70",
          "isAvailable": true
        }
      ]
    }
  ]
}

Baseball Event Metadata

{
  "id": "43255333",
  "sportName": "baseball",
  "sportSysname": "BASEBALL_GAME",
  "regionId": 110,
  "regionCaption": "México",
  "regionImageId": 80727,
  "competitionId": 14555,
  "competitionCaption": "Liga Mexicana del Pacifico",
  "homeTeamName": "Yaquis de Obregon",
  "homeTeamImageId": 0,
  "awayTeamName": "Charros De Jalisco",
  "awayTeamImageId": 0,
  "startDateTime": "2025-11-07T02:10:00.0876385+00:00",
  "markets": [
    {
      "marketId": 1498660642,
      "betTypeSysname": "BASEBALL_MATCH_RESULT_NODRAW",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6209348293",
          "code": "1",
          "price": 1.7,
          "oddsText": "1.70",
          "isAvailable": true
        },
        {
          "id": "6209348294",
          "code": "2",
          "price": 2,
          "oddsText": "2.00",
          "isAvailable": true
        }
      ]
    }
  ]
}

Volleyball Event Metadata

{
  "id": "43070622",
  "sportName": "volleyball",
  "sportSysname": "VOLLEYBALL_GAME",
  "regionId": 92,
  "regionCaption": "Uruguai",
  "regionImageId": 80767,
  "competitionId": 13690,
  "competitionCaption": "Primera (F)",
  "homeTeamName": "CBR B (F)",
  "homeTeamImageId": 0,
  "awayTeamName": "Club Nacional de Football (F)",
  "awayTeamImageId": 0,
  "startDateTime": "2025-11-08T03:00:00.0912071+00:00",
  "markets": [
    {
      "marketId": 1494776598,
      "betTypeSysname": "VOLLEYBALL_MATCH_RESULT",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6194250889",
          "code": "1",
          "price": 1.08,
          "oddsText": "1.08",
          "isAvailable": true
        },
        {
          "id": "6194250890",
          "code": "2",
          "price": 6.5,
          "oddsText": "6.50",
          "isAvailable": true
        }
      ]
    }
  ]
}

American Football Event Metadata

{
  "id": "43232462",
  "sportName": "american-football",
  "sportSysname": "AMERICAN_FOOTBALL_GAME",
  "regionId": 55,
  "regionCaption": "EUA",
  "regionImageId": 80529,
  "competitionId": 9182,
  "competitionCaption": "NCAAF",
  "homeTeamName": "Columbia Lions",
  "homeTeamImageId": 0,
  "awayTeamName": "Harvard",
  "awayTeamImageId": 0,
  "startDateTime": "2025-11-08T00:00:00.0987816+00:00",
  "markets": [
    {
      "marketId": 1497290690,
      "betTypeSysname": "AMERICAN_FOOTBALL_MATCH_RESULT_NO_DRAW",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6204104513",
          "code": "1",
          "price": 20,
          "oddsText": "20.00",
          "isAvailable": true
        },
        {
          "id": "6204104514",
          "code": "2",
          "price": 1.01,
          "oddsText": "1.01",
          "isAvailable": true
        }
      ]
    }
  ]
}

Ice Hockey Event Metadata

{
  "id": "43254114",
  "sportName": "ice-hockey",
  "sportSysname": "ICE_HOCKEY_GAME",
  "regionId": 2,
  "regionCaption": "Europa",
  "regionImageId": 88131,
  "competitionId": 38045,
  "competitionCaption": "European Cup of Nations",
  "homeTeamName": "Grã-Bretanha",
  "homeTeamImageId": 141809,
  "awayTeamName": "Itália",
  "awayTeamImageId": 131702,
  "startDateTime": "2025-11-07T15:00:00.1014439+00:00",
  "markets": [
    {
      "marketId": 1499181302,
      "betTypeSysname": "ICE_HOCKEY_MATCH_WINNER",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6211576489",
          "code": "1",
          "price": 3.5,
          "oddsText": "3.50",
          "isAvailable": true
        },
        {
          "id": "6211576490",
          "code": "2",
          "price": 1.26,
          "oddsText": "1.26",
          "isAvailable": true
        }
      ]
    }
  ]
}

Handball Event Metadata

{
  "id": "43211395",
  "sportName": "handball",
  "sportSysname": "HANDBALL_GAME",
  "regionId": 27,
  "regionCaption": "Dinamarca",
  "regionImageId": 80545,
  "competitionId": 1563,
  "competitionCaption": "Kvindeligaen (F)",
  "homeTeamName": "Hoej Elite (F)",
  "homeTeamImageId": 136548,
  "awayTeamName": "Nykobing Handboldklub (F)",
  "awayTeamImageId": 136276,
  "startDateTime": "2025-11-07T18:30:00.099058+00:00",
  "markets": [
    {
      "marketId": 1496603666,
      "betTypeSysname": "HANDBALL_MATCH_RESULT",
      "useInstanceCaption": false,
      "betItems": [
        {
          "id": "6201603267",
          "code": "1",
          "price": 8,
          "oddsText": "8.00",
          "isAvailable": true
        },
        {
          "id": "6201603268",
          "code": "X",
          "price": 12,
          "oddsText": "12.00",
          "isAvailable": true
        },
        {
          "id": "6201603269",
          "code": "2",
          "price": 1.1,
          "oddsText": "1.10",
          "isAvailable": true
        }
      ]
    }
  ]
}

Key Metadata Fields (Common Across All Sports):

sportName - Sport identifier (e.g., “soccer”, “basketball”)
sportSysname - System name for the sport type
homeTeamName / awayTeamName - Team names
homeTeamImageId / awayTeamImageId - Team logo identifiers
regionCaption - Human-readable region name
competitionCaption - Human-readable competition name
markets - Array of available betting markets with odds
betItems - Individual betting options within each market

Why Metadata? This unified structure allows the API to support all sports consistently. Instead of having sport-specific columns, all event details are contained in a flexible JSON structure.

Market

Betting markets available for an event. Common Market Types:

SOCCER_MATCH_RESULT - Full time result (1/X/2)
SOCCER_UNDER_OVER - Goals over/under
SOCCER_DOUBLE_CHANCE - Combine two outcomes
SOCCER_BOTH_TEAMS_TO_SCORE - Yes/No
BASKETBALL_MONEYLINE - Winner
BASKETBALL_SPREAD - Point spread

Fields:

id - Unique identifier (string)
eventId - Parent event (string)
betTypeSysname - Market type system name (string)

Example:

{
  "id": "mkt_123",
  "eventId": "123456",
  "betTypeSysname": "SOCCER_MATCH_RESULT",
}

BetItem

Individual betting options within a market. Fields:

id - Unique identifier (string)
marketId - Parent market (string)
code - Bet code (string)
price - Decimal odds (float, e.g., 2.10)
oddsText - Display text for odds (string, e.g., “2.10”)
isAvailable - Whether this bet can be placed (boolean, default: true)
marketStatistic - Optional stat payload (e.g., win %)
lastUpdated - When odds were last updated (DateTime)

Example:

{
  "id": "bet_001",
  "marketId": "mkt_123",
  "code": "1",
  "price": 2.10,
  "oddsText": "2.10",
  "isAvailable": true,
  "marketStatistic": null,
  "lastUpdated": "2025-11-07T14:30:00Z"
}

We strip bookmaker-provided captions (caption, codeCaption, etc.) from bet items to keep payloads consistent across sports. Use the code plus your own translation layer for display labels.

Decimal Odds Explained: A price of 2.10 means for every

1 wagered, you receive

2.10 back if you win (including your stake). So a

100 bet returns

210 (

110 profit +

100 stake).

Live Event Data

For live (in-progress) events, additional real-time data is available.

LiveEventData

Real-time match statistics updated during the event. Core Fields:

id - Unique identifier (string)
eventId - Parent event (string)
betContextId - Bet context identifier (string)
liveDataJson - Sport-specific live data including scores, stats, and match phase (JSON)
fetchedAt - When data was fetched (DateTime)
lastUpdated - Last update timestamp (DateTime)

Sport-Specific Structure: The liveDataJson field contains different data structures for each sport. Soccer includes goals/corners/cards, basketball has quarter scores, tennis tracks sets/games, and baseball shows innings/outs/bases.

Common Fields in liveDataJson:

isLive - Whether event is currently live
isInPlay - Whether in-play betting is available
phaseSysname - Match phase (e.g., “SOCCER_MATCH_SECOND_HALF”, “72’”, “FT”)
discriminator - Sport type discriminator (e.g., “SoccerMatchLiveDataModel”)

Soccer Example:

{
  "id": "live_001",
  "eventId": "123456",
  "betContextId": "ctx_123",
  "liveDataJson": {
    "discriminator": "SoccerMatchLiveDataModel",
    "eventSysname": "SOCCER_MATCH",
    "isLive": true,
    "isInPlay": true,
    "homeGoals": 2,
    "awayGoals": 1,
    "homeCorners": 5,
    "awayCorners": 3,
    "homeYellowCards": 2,
    "awayYellowCards": 1,
    "homeRedCards": 0,
    "awayRedCards": 0,
    "phaseSysname": "SOCCER_MATCH_SECOND_HALF",
    "elapsedSeconds": 4320,
    "referenceTime": "2025-11-08T16:12:30Z",
    "referenceTimeUnix": 1762443150
  },
  "fetchedAt": "2025-11-08T16:12:30Z",
  "lastUpdated": "2025-11-08T16:12:30Z"
}

Basketball Example:

{
  "liveDataJson": {
    "discriminator": "BasketballGameLiveDataModel",
    "eventSysname": "BASKETBALL_GAME",
    "isLive": true,
    "isInPlay": false,
    "homePoints": 89,
    "awayPoints": 77,
    "quarterScores": [
      {"caption": "1º P", "sysname": "Q1", "homeScore": 19, "awayScore": 29},
      {"caption": "2º P", "sysname": "Q2", "homeScore": 28, "awayScore": 24},
      {"caption": "3º P", "sysname": "Q3", "homeScore": 17, "awayScore": 16},
      {"caption": "4º P", "sysname": "Q4", "homeScore": 25, "awayScore": 8}
    ],
    "homeFouls": 5,
    "awayFouls": 9
  }
}

Tennis Example:

{
  "liveDataJson": {
    "discriminator": "TennisSinglesMatchLiveDataModel",
    "eventSysname": "TENNIS_SINGLES_MATCH",
    "isLive": true,
    "isInPlay": true,
    "player1Sets": 0,
    "player2Sets": 1,
    "setScores": [
      {"caption": "1º Set", "player1Score": 3, "player2Score": 6, "player2Winner": true},
      {"caption": "2º set", "player1Score": 0, "player2Score": 5, "inPlay": true}
    ],
    "player1GamePointsText": "30",
    "player2GamePointsText": "40",
    "player1Serves": true,
  }
}

Baseball Example:

{
  "liveDataJson": {
    "discriminator": "BaseballGameLiveDataModel",
    "eventSysname": "BASEBALL_GAME",
    "isLive": true,
    "isInPlay": true,
    "homeRuns": 3,
    "awayRuns": 7,
    "outs": 1,
    "balls": 1,
    "strikes": 0,
    "bases": [false, false, false],
    "inningScores": [
      {"caption": "1º Inning", "homeScore": 0, "awayScore": 0},
      {"caption": "2º Inning", "homeScore": 2, "awayScore": 0}
    ]
  }
}

Need Examples? Contact support@mrdoge.co for TypeScript interfaces and frontend integration examples for all sports.

LiveBetItem

Snapshots of odds changes during live events. Purpose: Track how odds move in real-time as the match progresses. Fields:

id - Unique identifier (string)
liveEventDataId - Parent live event data (string)
betItemId - Reference to the bet option (string)
marketId - Market identifier (string)
marketSysname - Market system name (string)
marketCaption - Market display caption (string)
marketData - Market data (JSON)
code - Bet code (string)
caption - Display caption (string)
price - Decimal odds at this snapshot (float)
oddsText - Display text for odds (string)
isAvailable - Whether bet is available (boolean, default: true)
priceChange - Price change from previous snapshot (float, optional)
timestamp - When snapshot was taken (string)
capturedAt - Capture timestamp (DateTime)

Example:

{
  "id": "live_bet_001",
  "liveEventDataId": "live_001",
  "betItemId": "bet_001",
  "marketId": "mkt_123",
  "marketSysname": "SOCCER_MATCH_RESULT",
  "marketCaption": "Match Result",
  "code": "1",
  "caption": "Arsenal",
  "price": 1.95,
  "oddsText": "1.95",
  "isAvailable": true,
  "priceChange": -0.15,
  "timestamp": "72:30",
  "capturedAt": "2025-11-08T16:12:30Z"
}

This allows you to see odds movement history and identify betting opportunities based on market reactions.

AI Prediction Entities

The API provides AI-generated predictions and analysis.

BettingRecommendation

AI-generated betting picks with confidence scoring. Fields:

id - Unique identifier (string)
eventId - Parent event (string)
marketId - Market identifier (string)
betItemId - Bet item identifier (string, optional)
analysisTimestamp - When analysis was performed (DateTime)
outcome - Predicted result (string)
odds - Decimal odds for the pick (float)
point - Point value for spreads/totals (float, optional)
confidence - Risk level: Low, Medium, or High (string)
edgePercentage - Expected value edge (float, e.g., 6.8 means 6.8%)
kellyFraction - Suggested stake size using Kelly Criterion (float)
rationale - Why the AI recommends this bet (string array)
riskFactors - Potential risks to consider (string array)
settled - Whether bet has been settled (boolean, default: false)
result - Settlement result: won, lost, or push (ResultType enum, optional)
settlementDate - When bet was settled (DateTime, optional)
actualReturn - Actual return amount (float, optional)

Confidence Levels:

Low - Edge < 3%
Medium - Edge 3-5%
High - Edge > 5%

Example:

{
  "id": "rec_001",
  "eventId": "123456",
  "marketId": "mkt_123",
  "betItemId": "bet_001",
  "outcome": "Arsenal",
  "odds": 2.10,
  "confidence": "High",
  "edgePercentage": 6.8,
  "kellyFraction": 0.032,
  "rationale": ["Arsenal's home form excellent", "Chelsea defensive issues"],
  "riskFactors": ["Chelsea has key players returning from injury"],
  "settled": false,
}

MrDogePick

Featured AI recommendations (parlays or highlighted picks). Fields:

id - Unique identifier (string)
eventId - Parent event (string, unique)
pickType - Type of pick (string, default: “single”)
recommendations - Array of recommendations (JSON)
totalOdds - Combined odds for parlay (float)
featuredOrder - Display order, lower = higher priority (integer, optional)
isActive - Whether pick is active (boolean, default: true)
expiresAt - When this pick expires (DateTime)
settled - Whether bet has been settled (boolean, default: false)
result - Settlement result: won, lost, or push (ResultType enum, optional)
settlementDate - When bet was settled (DateTime, optional)
actualReturn - Actual return amount (float, optional)
createdAt - Creation timestamp (DateTime)

Example:

{
  "id": "pick_001",
  "eventId": "123456",
  "pickType": "parlay",
  "recommendations": [
    {"eventId": "123456", "outcome": "Arsenal", "odds": 2.10},
    {"eventId": "123456", "outcome": "Over 2.5", "odds": 1.85}
  ],
  "totalOdds": 3.89,
  "featuredOrder": 1,
  "isActive": true,
  "expiresAt": "2025-11-08T15:00:00Z",
  "settled": false
}

ProcessedInsight

Market analysis and value opportunities. Fields:

id - Unique identifier (string)
eventId - Parent event (string, unique)
analysisTimestamp - When analysis was performed (DateTime)
marketEfficiencyScore - How efficiently priced the market is (float, 0-100)
lineMovementData - How odds have shifted (JSON, optional)
valueOpportunities - Identified +EV bets (JSON, optional)
riskAssessment - Overall risk analysis (JSON, optional)
aiAnalysisNotes - Additional AI analysis notes (string, optional)
createdAt - Creation timestamp (DateTime)
updatedAt - Last update timestamp (DateTime)

Example:

{
  "id": "insight_001",
  "eventId": "123456",
  "marketEfficiencyScore": 87.5,
  "valueOpportunities": [
    {
      "market": "Match Result",
      "outcome": "Arsenal",
      "currentOdds": 2.10,
      "fairOdds": 1.95,
      "edge": 7.7
    }
  ],
  "riskAssessment": {
    "variance": "Medium",
    "liquidity": "High",
    "sharpMoney": "Backing Arsenal"
  },
  "aiAnalysisNotes": "Strong home form suggests value in Arsenal backing"
}

Key Concepts

Event Status Lifecycle

upcoming → live → completed

upcoming: Event hasn’t started, bets can be placed
live: Event in progress, in-play betting available
completed: Event finished, bets are settled

Odds Format

The API uses decimal odds (also called European odds):

2.00 = Even money (100% profit)
1.50 = -200 American odds (50% profit)
3.00 = +200 American odds (200% profit)

Formula: Potential Return = Stake × Odds

Implied Probability

Odds can be converted to probability: Implied Probability = 1 / Decimal Odds Example: Odds of 2.10 → 1 / 2.10 = 0.476 → 47.6% probability

Next Steps

Sports Coverage

See all supported sports and market types

AI Explained

Learn how AI predictions work

Getting Odds

Start fetching events and odds

API Reference

Explore all endpoints

Getting Started

Credits System

Core Concepts

Overview

Core Hierarchy

Entities

Sport

Region

Competition

Team

Event

Market

BetItem

Live Event Data

LiveEventData

LiveBetItem

AI Prediction Entities

BettingRecommendation

MrDogePick

ProcessedInsight

Key Concepts

Event Status Lifecycle

Odds Format

Implied Probability

Next Steps

Sports Coverage

AI Explained

Getting Odds

API Reference

Getting Started

Credits System

Core Concepts

​Overview

​Core Hierarchy

​Entities

​Sport

​Region

​Competition

​Team

​Event

​Market

​BetItem

​Live Event Data

​LiveEventData

​LiveBetItem

​AI Prediction Entities

​BettingRecommendation

​MrDogePick

​ProcessedInsight

​Key Concepts

​Event Status Lifecycle

​Odds Format

​Implied Probability

​Next Steps

Sports Coverage

AI Explained

Getting Odds

API Reference

Overview

Core Hierarchy

Entities

Sport

Region

Competition

Team

Event

Market

BetItem

Live Event Data

LiveEventData

LiveBetItem

AI Prediction Entities

BettingRecommendation

MrDogePick

ProcessedInsight

Key Concepts

Event Status Lifecycle

Odds Format

Implied Probability

Next Steps