Data Draft Fantasy Hockey-AI-powered Fantasy Hockey insights

Example

If you are unsure whether to start Sidney Crosby or Patrice Bergeron on a given night, Data Draft will evaluate their past performances against the team they are scheduled to face. For instance, if Crosby historically averages more points per game against the upcoming opponent than Bergeron, Data Draft would recommend starting Crosby.

Scenario

A manager needs to choose between two high-performing centers for a single lineup spot. Data Draft analyzes their historical data against the specific team they are facing, and the manager uses this insight to make a decision, ultimately leading to a better chance of earning points.

Example

Data Draft provides a detailed breakdown of players' stats in categories like Goals Per Game, Shots Per Game, and Power Play Points Per Game, presented in a percentile ranking format. This can help you identify which players excel in specific areas. For example, if you need a player who contributes heavily on the power play, you can quickly see who ranks highest in Power Play Points Per Game.

Scenario

A manager is looking to boost their team's power play performance and needs to choose between two available wingers. Data Draft's metric breakdown shows that one player ranks in the 90th percentile for power play points, making them the clear choice.

Example

Data Draft provides insights into how a player has performed historically against a particular team. For example, if Connor McDavid consistently struggles against the Boston Bruins, this insight will be factored into the recommendation, even if McDavid is generally a top player.

Scenario

A manager is tempted to start a star player based on overall season performance, but Data Draft's analysis shows that the player underperforms against their upcoming opponent. This prompts the manager to bench the player, avoiding a potential drop in points.