The hockey world is slowly embracing analytics, especially compared to other sports, but there are already some notable successes. For instance, Canadiens scouting director Eric Crawford advocated for Lane Hutson in the second round, emphasizing that every contending team needs a defenseman like him.
Sunny Mehta, previously head of analytics and now general manager of the Devils, had his draft model ranking Jesper Blatt as the third overall pick in the 2016 draft and pushed for a sixth-round selection.
Other names in the analytics movement include Hurricanes GM Eric Tarski, Avalanche analytics director Aric Parnas, and Carolina’s assistant GM Tyler DeRowe. These individuals transitioned from blogging and writing into pivotal roles in constructing competitive NHL teams.
Despite some teams leveraging data effectively, a divide remains in the hockey community. However, there’s a shift underway, with discussions focusing on incorporating artificial intelligence into operations.
There are challenges in pitching AI to a sport historically resistant to analytics. As with past innovations, showcasing results that highlight the risks of not adapting is key.
Additionally, there’s a broader question teams face: “Where do we start?” as one executive in the Eastern Conference shared, noting that every business will eventually reevaluate processes with AI in mind.
Analytics can be a bit complicated, but essentially, it’s about translating numbers and trends to capture the nuances our eyes might miss.
AI, on the other hand, has the potential to save time, though that’s a vague description. “An example of AI’s use could be in cap management, analyzing trends from other teams or GMs,” Steve Wellier, a former assistant GM with the Panthers, explained. He added that AI could identify relevant media market signals for strategic planning.
Imagine, for instance, a hockey operations executive inundated with weekly emails from agents. An AI could sift through these, flagging those that best match a minor league club’s criteria, streamlining the process. AI might also enhance analytics workflows, speeding up coding and execution.
Moreover, teams often have development coaches meeting with college and junior talent throughout the season. What if AI could offer real-time feedback to prospects during off days, bridging gaps between meetings?
Teams also collaborate with firms like SportLogiq for access to real-time tracking data. There’s potential for AI to assist coaching by delivering data insights faster during games, improving immediate decision-making.
“What if we provided coaches with an iPad showing real-time information, like if a line is struggling? Making quick adjustments could turn the tide in the game,” said the Eastern Conference executive. The possibilities seem distant, yet they align with current technological capabilities.
Mike Kelly, director of analytics at SportLogiq, discussed player acquisition as an area ripe for AI enhancement. “When evaluating free agents, it’s not just about picking the best options; it’s about finding the right fit,” he explained. AI can help narrow choices quickly by analyzing specific needs based on contract details.
Of course, concerns around AI reliability are valid. It boils down to prompt accuracy, data quality, and questioning the outputs effectively. But, the rapidization of technology is reducing time wastage across the board.
“Last year, I was skeptical about integrating AI, but it’s increasingly common this season. It is used more as a tool for efficiency rather than a replacement for our roles,” a Western Conference executive remarked.
There’s a clear need for skilled people who can implement and utilize AI effectively. At the same time, AI won’t replace analysts or scouts but will assist and enhance their work.
One downside is the lack of transparency in hockey innovation compared to sports like baseball, where detailed tracking data is accessible to the public through platforms like Baseball Savant. In hockey, that data is mostly limited to teams or specific partners. While some individuals, like Ranalli-Corrado, had access for projects, it’s typically not available to the average fan.
“I see opportunities in hockey that aren’t saturated like in baseball or basketball, but there are limitations on available data. That creates bottlenecks,” Ranalli-Corrado commented.
However, this could lead to a widening gap between teams that embrace new methodologies and those that cling to tradition. The competitive edge will hinge on who can innovate swiftly.
“There will be very few barriers in hockey operations. Almost every department will benefit from this technology,” added a Western Conference executive.
