Markets Information

Bayes Live Odds provides you access to key markets which account for ~95% of betting turnover, as well as to a wide range of additional proposition markets (props).

Key markets

Market	Description
Match (Fixture) Winner	The simplest and most common kind of bet, a Match (Fixture) Winner allows bets to be made on a team to win a match
Map Winner	This is an in-play bet you can make on a team to win a map in a match.
Map Handicap	Handicap, also referred to as the 'spread', involves giving one team a virtual map deficit (a handicap) to overcome at the start of a game. Example: In a best-of-three match for Counter-Strike match between two teams, an odds provider believes Team A is the underdogs so assigns a +3.5 round handicap for the first match. This gives Team A a 3.5-round advantage on a map so you decide to place a bet. To win the bet, Team A needs to win at least 13 rounds (in the first to 16 scenarios) in the match. Put simply, Team A cannot lose by more than four rounds for you to win the bet. Alternatively, an odds provider believes Team B is stronger than their opponents so assigns this team a -3.5 round handicap for the first match. This gives Team B a 3.5-round disadvantage on a map. If you decide to place a bet, Team B must win by at least 16-12 or by a larger margin for you to win. Simply, Team B needs to win by four rounds or more for you to win the bet.

Proposition markets (props)

Prop markets – also known as proposition bets – are betting markets beyond the standard ones. Prop bets focus on segmented parts of a game, such as individual team or player performances as well as specific in-game events and happenings during the game.

Market	Description
Match markets	Betting on a specific outcome of a match. Example: “Exact score of the match (in maps)”
Map markets	Betting on a specific outcome of a map Example: “Number of towers destroyed in on a map by both teams”
Team markets	Betting on a a team stats for a game Example: “Kills Total for Team B to be over 32.5”
Player markets	Betting on an individual player’s stats for a game, also known as player props Example: “Player X will have 20 or more kills”
Flash markets	Betting on specific in-game events and outcomes Example: “Which team will kill the next dragon?”

Market Naming

Bayes Odds Feed markets will be uniquely identified by the combination of two data fields:

• market_name
• market_type

market_name	market_type
map_winner_maintime_3way	3way
map_total_rounds	exact
match_rounds_handicap	2way
match_total_rounds	overunder
map_team_wins_pistol_rounds	yesno

market_name

A naming convention for Bayes Odds Feed markets will adhere to the following pattern:

{match/map}_?{team/player/map}_{description}

market_type

Each market falls into one of the following categories:

Market type	Description
2way	Market with two possible outcomes, often win or lose Example: ”Team A will win the first map”
3way	Market with three possible outcomes, often win or lose or draw
exact	Bet on the exact value of some game parameter. Example: ”There will be 20 rounds in Counter-Strike match”
yesno	Bet on a game parameter being True/False. Example: ”There will be a rampage in DotA game”
overunder	Bet on some game parameter being over or under the specified value. Example: ”The number of rounds in Counter-Strike match will be under 25”
oddeven	Bet on some game value being an odd or an even number. Example: ”The number of maps played in the final of DotA match will be odd”

Market outcomes

Each outcome in a market represents a result of the event that the market stands for. The odds of an outcome reflect the perceived likelihood of that outcome.

Each OddsUpdateMessage contains a list of markets in the markets field. Each of these markets then contains a list of outcomes in the outcomes field. Each outcome has the following structure:

Field	Description	Type
outcome	the outcome name	String
decimalOdd	the odds of the outcome in decimal format	Float
tradingStatus	the trading status of the outcome	String
won	the result of the outcome (True or False)	Boolean