Another conversation arises from the ether.Ronning's Ghost wrote: ↑Mon Nov 10, 2025 4:47 pm But I say that in a League that strives for parity, small percentages add up.
Does a league that strives for parity manipulate draft lotteries?
Moderators: donlever, Referees
Another conversation arises from the ether.Ronning's Ghost wrote: ↑Mon Nov 10, 2025 4:47 pm But I say that in a League that strives for parity, small percentages add up.

donlever wrote: ↑Mon Nov 10, 2025 5:44 pmAnother conversation arises from the ether.Ronning's Ghost wrote: ↑Mon Nov 10, 2025 4:47 pm But I say that in a League that strives for parity, small percentages add up.
Does a league that strives for parity manipulate draft lotteries?



And a Per spreadsheet!

Yes, you're basically normalizing injury days lost with player value, using cap hit as a proxy to get a usable metric. The only question is, is this noise, i.e within the standard deviation, or is it anomalous? Also, there's a t-value or p-value we're supposed to know. Where's Topper?Ronning's Ghost wrote: ↑Mon Nov 10, 2025 4:47 pmSo I'd say that the more instructive way to look at the 24/25 numbers is a Cap Hit of Injured Players (CHIP) of over $12 million, vs. a league median of under $10 million. The difference is more than they paid Blueger, and close to the lingering damage of the O.E.L.... situation.
Or you could say it's only around 2%, and 2% more points would still have seen them out of the playoffs. But I say that in a League that strives for parity, small percentages add up.

Yes, yes, yes, and yes.5thhorseman wrote: ↑Mon Nov 10, 2025 7:13 pm Yes, you're basically normalizing injury days lost with player value, using cap hit as a proxy to get a usable metric. The only question is, is this noise, i.e within the standard deviation, or is it anomalous? Also, there's a t-value or p-value we're supposed to know. Where's Topper?

So, combining all those data (using the 2024-25 season for injury stats so as to minimize the inadequacy of the sample size that is one of the bigger limitations on our analysis, and assuming that the relative rigors of the travel schedule do not vary significantly from season to season), we can note that Dallas Stars, San Jose Sharks, and Colorado Avalanche all took a bigger CHIP hit than the Canucks, while (from the bottom part of Corn's list in the link) the Habs, Devils, Red Wings, Sabres, and leaves all took a smaller one. (The Islanders and the Predators are outliers, but we'd actually expect a larger number of outliers than that in such noisy data.)Cornuck wrote: ↑Tue Nov 11, 2025 9:33 am Travel this year (LINK):
1. Dallas Stars............18 road trips.....50,601.70 miles.....40 time zone changes
2. San Jose Sharks.......15 road trips.....50,348.20 miles.....40 time zone changes
3. Vancouver Canucks...14 road trips.....48,378.00 miles.....43 time zone changes
4. Nashville Predators...17 road trips.....47,581.10 miles.....51 time zone changes (edit: added for more reference)
5. Colorado Avalanche...21 road trips....47,235.30 miles.....42 time zone changes (edit: added for more reference)
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32.New York Islanders...17 road trips.....28,477.30 miles......20 time zone changes
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League average..........17 road trips.....40,321.24 miles......33 time zone changes
Actual achievements (and lack thereof) notwithstanding, the thing I liked most about that regime was a willingness to at least try to innovate to eke out an advantage (or mitigate a disadvantage) somewhere. That gave me more hope than "meat and potatoes". And it seems to that for most of their existence, a significant part of what this franchise has been selling is hope for the future.donlever wrote: ↑Tue Nov 11, 2025 9:24 am As an aside it is perhaps interesting that the greatest success this team had this Millennium (outside of the obvious talent and team structure at the time) is when team power brokers went the extra mile to reduce travel impact by studying sleep patterns/mindfullness/meditation in order to maximize rest and recovery for the players as optimally as possible.

Hardest to quantify yet. You could do size, but I think that would be a weak proxy. Even more so for PiMs and play style.
I'm not saying I know how that would work, but there is reason to expect potential for surprise. People have been experimenting with game theory strategies with computer programs for some time, now. Very aggressive computer programs seldom do well, because everyone else winds up being aggressive with them, and sometimes they run into each other, too.Mëds wrote: ↑Tue Nov 11, 2025 3:02 pm I can only look at Vancouver for my own observations, but we’ve been a small(ish)/soft team for decades now. That type of team seems like it would likely face more injuries when combining the increased susceptibility due to mileage with the facing of heavier teams on the road.