How are Sports CFDs priced?

We use four main criteria to produce the AI Data player index price.

Purely based on Performance as the player performs on the pitch, considering all positive available data from goals scored, to assists and minutes played. This is balanced against the negative data, red-card, yellow-card or a shot off target. We use multiple sports analytic feeds to get a true picture of a player’s performance.

Ranking – For each game played the AI algorithm ranks all the players in the teams with a weighting applied to the top 5 and bottom 5 players. The ranking gets continuously updated in real-time. Traders can aim to buy the players they think will be in the top 5, who will have a positive match price, and sell the bottom 5, who will always have a negative match price.

Benchmarking – The performance of players is constantly evaluated against their peer group. This starts at the club level. At the start of each league, we rank all the teams as either platinum (at the top of the league), Gold, Silver or Bronze (bottom of the league) this allows the benchmarking of players in similarly classified teams

If a player outperforms the players in their peer group, they get positive points and if they underperform their price goes down. This benchmarking is even active when a player is not in a game. The estimated move for a player who is not playing when his peers are playing ranges between +2% to -2% over 5 days.

Trading Interest – As with all CFDs trading interest, the volume of people buying and selling any player, will influence the price. Interest in and trading of a player CFD increases the price and vice versa. This is the same as a move on equities or FX were buying or selling demand can set the price. For Isports Trader footballer CFDs the main buying and selling times are during matches or through a transfer window.