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Leafs Front Office 2026-27

Interesting article in The Atheltic today on the disfunction inside the Leafs. Even if there is some exaggerations
or speculations and some half-truths it's pretty damning. Like Harold Ballard disfunction-level. I'm not sure
how this is going to attract players to Toronto even when they over-pay them....
 
Don't let Pelley see this

USgT7mX.jpeg
 
https://twitter.com/x/status/2044778582220890469
Gillis’ tenure as the general manager of the Vancouver Canucks is remembered as a golden age for the franchise. Multiple Presidents’ Trophy victories, playoff berths in five of six seasons and a trip to the Stanley Cup Final in 2011.

However, Gillis hasn’t worked in the NHL since he was fired by the Canucks in 2014.

[...]

Gillis can be brusque in interview settings. My understanding is that he’s typically told NHL owners and executives in hiring situations why he thinks they’ve fallen short and which resources are required to fix their team. That sort of frankness is a major reason why Gillis was an effective manager in Vancouver, but it’s not always the best interview strategy.
Click to expand...
 
Zee said:
Don't let Pelley see this
Click to expand...

I think GM-ChatGPT or GeMini is pretty fun material. That does basically amount to letting your most vocal fans operate the GM buttons.

What I think MLSE was trying to do (unsuccessfully because of the troglodytes in hockey ops' decision layer?), was get them working with the data and the dev-ops side (Humza Teherany's department) to help digest the reams of data now available to hockey teams, and try to distill patterns and trends and insights and empower their hockey decisions. MLSE has way more resources at its disposal to invest in these tools and should try to leverage them for an advantage while it's advantageous.

The Leafs have full access to the puck/player tracking data; they have their own biometric harness data; they have Clearsight analytics, Sportlogiq, and whatever other homebrew data tracking they already do. The current platforms of Claude, etc. can really blend and crunch that stuff into actionable recommendations from on-the-fly or off-the-wall queries, or create apps for coaching/dev/scouting staff for data intake + calling up curated data about a particular player, or flagging biomechnical issues as they hit thresholds. Ultimately, a human mind with hockey know-how and matched video evidence should make those decisions, but there's no reason to not use all the tools at your disposal to surface potential benefit from the noise of the data. It's just the Analytics Wars of the early 2000/10s but with more data than just event tracking of shot attempts.

Caveat: I hate generative AI slop more than I hate Mitch Marner.
 
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