Alright, so I figured out what was going on with Arizona's PK and fixed it. They are now 11th rather than 1st. It's actually pretty funny. Basically, due to their current roster my code wasn't able to figure out which defenders were going to kill penalties for them, as only Stralman and Chychrun had done it before. Is Gostisbehere going to kill penalties? What are they doing? And due to lack of foresight it was essentially filling that void with 0's that caused their PKing to look amazing. so I am now filling in voids with league average (which is probably still too generous but better than 0) which takes their PK down to 11th place. This also affected Columbus who had a similar thing and were rated #2 and are now #8.
There were a few roster updates as well, with Marcus Johansson going to Seattle and Brendan Perlini going to Edmonton.
I won't post new rankings yet but will post a weekly update or something as long as the thread is reasonably active. If the thread dies I'll just post one final ranking before the season starts and not keep bumping the thread.
If anyone wants to give me some constructive suggestions on how to “fix” the Seattle “problem” since according to the prescient experts on this forum it’s impossible for them to be good, I am completely open to suggestions. I doubt they finish that high as well but I am not going to just manually move them down because of feelings.
How are you accounting for the upcoming changes in deployment (specifically TOI and quality of competition) for Seattle's top 6 next season? Seattle has a bunch of formerly 3rd line players who are going to be getting top line minutes which I feel will have an impact on their actual effectiveness. Gourde, Donskoi & McCaan were all playing on the 3rd line and Tanev & Appleton were 4th line - only Eberle was playing top line (most of the time). You can probably (?) make the assumption Seattle's 3rd and 4th lines will meet their underlying metrics (barring any significant changes in ice-time - i.e. running 4 lines more equally) and I could see the argument for their defense as well - but I'd expect a bit of a regression from the underlying metrics for their top lines as they're more playing "out of their depth".If anyone wants to give me some constructive suggestions on how to “fix” the Seattle “problem” since according to the prescient experts on this forum it’s impossible for them to be good, I am completely open to suggestions. I doubt they finish that high as well but I am not going to just manually move them down because of feelings.
McCann does have experience playing in the top six (as a winger) though. As well as checking center back in his Panther days. Been at around a 2nd liner point pace as a Pen for the past few seasons. He just turned 25 years old a few months ago (and he does have the "pedigree" given that he was a former 1st round pick).How are you accounting for the upcoming changes in deployment (specifically TOI and quality of competition) for Seattle's top 6 next season? Seattle has a bunch of formerly 3rd line players who are going to be getting top line minutes which I feel will have an impact on their actual effectiveness. Gourde, Donskoi & McCaan were all playing on the 3rd line and Tanev & Appleton were 4th line - only Eberle was playing top line (most of the time). You can probably (?) make the assumption Seattle's 3rd and 4th lines will meet their underlying metrics (barring any significant changes in ice-time - i.e. running 4 lines more equally) and I could see the argument for their defense as well - but I'd expect a bit of a regression from the underlying metrics for their top lines as they're more playing "out of their depth".
Picture Motte and Highmore are suddenly playing top line minutes - I wouldn't expect anywhere near the same metrics just based on the QoC change alone.
How are you accounting for the upcoming changes in deployment (specifically TOI and quality of competition) for Seattle's top 6 next season? Seattle has a bunch of formerly 3rd line players who are going to be getting top line minutes which I feel will have an impact on their actual effectiveness. Gourde, Donskoi & McCaan were all playing on the 3rd line and Tanev & Appleton were 4th line - only Eberle was playing top line (most of the time). You can probably (?) make the assumption Seattle's 3rd and 4th lines will meet their underlying metrics (barring any significant changes in ice-time - i.e. running 4 lines more equally) and I could see the argument for their defense as well - but I'd expect a bit of a regression from the underlying metrics for their top lines as they're more playing "out of their depth".
Picture Motte and Highmore are suddenly playing top line minutes - I wouldn't expect anywhere near the same metrics just based on the QoC change alone.
I'm not even talking about applying a penalty - more some way of adjusting the output of a player who's been moved, accounting for their changed quality of competition and teammates. It's arguable we could see a bit of a breakout like Vegas did with Marchessault for Kraken players due to playing with superior players as well.Basically, I'm not, and this is the "problem" that I think most people see. I don't see it as some sort of a given that a young player like Appleton will not be able to maintain the same level of play or excel given more ice time. Is that what we saw with Vegas? A bunch of young players falling flat on their faces once promoted to a top-six role? That's not what I saw. I mean I don't want to use Vegas as a projection of 1-data point, but if I am going to "penalize" young players for playing more minutes than they are used to, I don't see the evidence from Vegas that suggests I should do so, do you know what I mean?
The one data point that we have was a team of guys like Tuch, Karlsson, Marchessault having good numbers on previous teams in limited minutes and then proceeding to have great numbers on Vegas in bigger minutes. So I would need to see more compelling evidence to apply some sort of a penalty to the players Seattle acquired. /shrug
Overall Rank | Team | GF_GA | Last Rank | Change | ES_OFF | OFF | ES_DEF | ES_DEF+GOALIE | DEF | DEF+GOALIE | GF_GA_NoGoalie | PP | PK | GOALIE | PP_TIME | PK_TIME |
1 | VGK | 38 | 1 | - | 1 | 2 | 26 | 16 | 10 | 7 | 2 | 7 | 1 | 5 | 17 | 30 |
2 | COL | 38 | 2 | - | 12 | 3 | 1 | 2 | 2 | 5 | 1 | 1 | 15 | 20 | 1 | 10 |
3 | TOR | 38 | 3 | - | 2 | 4 | 22 | 5 | 8 | 2 | 3 | 9 | 2 | 1 | 23 | 28 |
4 | SEA | 17 | 4 | - | 23 | 15 | 7 | 3 | 5 | 1 | 6 | 12 | 4 | 3 | 6 | 24 |
5 | T.B | 13 | 6 | +1 | 6 | 14 | 4 | 7 | 3 | 3 | 5 | 24 | 5 | 17 | 30 | 25 |
6 | CAR | 12 | 5 | -1 | 3 | 1 | 13 | 18 | 26 | 28 | 4 | 2 | 31 | 20 | 4 | 1 |
7 | PIT | 7 | 7 | - | 27 | 7 | 5 | 6 | 16 | 12 | 9 | 3 | 28 | 15 | 3 | 3 |
8 | NYI | 6 | 8 | - | 5 | 22 | 18 | 9 | 6 | 3 | 14 | 32 | 6 | 8 | 32 | 31 |
9 | NSH | 4 | 9 | - | 20 | 19 | 10 | 4 | 8 | 7 | 18 | 15 | 14 | 6 | 20 | 18 |
10 | DAL | 2 | 10 | - | 7 | 24 | 15 | 15 | 4 | 6 | 10 | 30 | 3 | 18 | 31 | 32 |
11 | BOS | 1 | 11 | - | 28 | 22 | 3 | 1 | 7 | 9 | 16 | 20 | 25 | 10 | 14 | 4 |
12 | NYR | -1 | 12 | - | 24 | 8 | 12 | 8 | 23 | 16 | 20 | 6 | 30 | 8 | 15 | 6 |
13 | FLA | -2 | 13 | - | 9 | 6 | 8 | 21 | 16 | 21 | 8 | 10 | 27 | 25 | 7 | 9 |
14 | CGY | -3 | 14 | - | 11 | 12 | 6 | 13 | 10 | 13 | 11 | 16 | 21 | 23 | 21 | 14 |
15 | N.J | -3 | 16 | +1 | 10 | 10 | 11 | 11 | 19 | 19 | 15 | 14 | 26 | 18 | 12 | 8 |
16 | EDM | -6 | 15 | -1 | 4 | 5 | 29 | 31 | 26 | 31 | 12 | 5 | 17 | 26 | 13 | 17 |
17 | MIN | -8 | 18 | +1 | 18 | 27 | 2 | 19 | 1 | 10 | 7 | 27 | 9 | 30 | 19 | 21 |
18 | S.J | -9 | 20 | +2 | 16 | 8 | 19 | 10 | 31 | 24 | 23 | 8 | 32 | 10 | 8 | 2 |
19 | WPG | -10 | 17 | -2 | 22 | 19 | 31 | 14 | 32 | 16 | 30 | 18 | 19 | 2 | 25 | 13 |
20 | STL | -10 | 21 | +1 | 19 | 26 | 20 | 12 | 16 | 11 | 22 | 23 | 16 | 13 | 28 | 22 |
21 | MTL | -11 | 19 | -2 | 8 | 19 | 9 | 17 | 13 | 16 | 19 | 29 | 22 | 22 | 26 | 11 |
22 | VAN | -12 | 22 | - | 29 | 12 | 25 | 22 | 29 | 22 | 24 | 4 | 24 | 10 | 2 | 12 |
23 | CHI | -12 | 24 | +1 | 17 | 24 | 32 | 25 | 23 | 13 | 28 | 26 | 7 | 6 | 18 | 29 |
24 | WSH | -13 | 23 | -1 | 15 | 18 | 23 | 27 | 15 | 20 | 21 | 21 | 8 | 24 | 24 | 16 |
25 | OTT | -13 | 25 | - | 14 | 11 | 21 | 29 | 14 | 27 | 13 | 13 | 10 | 29 | 10 | 20 |
26 | L.A | -16 | 26 | - | 21 | 15 | 28 | 24 | 26 | 23 | 27 | 11 | 23 | 15 | 11 | 15 |
27 | PHI | -23 | 27 | - | 13 | 15 | 16 | 30 | 12 | 30 | 17 | 22 | 11 | 32 | 22 | 23 |
28 | DET | -25 | 29 | +1 | 26 | 32 | 30 | 20 | 25 | 13 | 32 | 31 | 13 | 4 | 29 | 27 |
29 | ANA | -27 | 30 | +1 | 30 | 28 | 27 | 23 | 30 | 24 | 31 | 28 | 29 | 13 | 27 | 5 |
30 | CBJ | -28 | 28 | -2 | 31 | 28 | 14 | 26 | 19 | 24 | 26 | 19 | 18 | 27 | 9 | 7 |
31 | BUF | -33 | 32 | +1 | 32 | 31 | 17 | 28 | 19 | 28 | 29 | 17 | 20 | 28 | 5 | 19 |
32 | ARI | -36 | 31 | -1 | 25 | 28 | 24 | 32 | 19 | 31 | 25 | 25 | 12 | 31 | 16 | 26 |
Canucks return to one of the weakest divisions in the entire NHL. If, at the end of the day, all they can do it claw their way up to 22nd place overall from 24th last season, then heads will roll in the off-season.22nd place for the Canucks, thats a big rise from last seasons 24th place finish. Progress. Excellent GMing![]()
Canucks return to one of the weakest divisions in the entire NHL. If, at the end of the day, all they can do it claw their way up to 22nd place overall from 24th last season, then heads will roll in the off-season.
I mean barring a rash of injuries or another COVID outbreak, I can't see how this team finishes 22nd overall.
Thank you for providing this content.fwiw I have them about 18th now. There haven’t been any real roster changes but I’ve been doing more research and back testing on previous seasons and have made some minor tweaks which resulted in a few teams rising and a few falling. Nothing major, but the Canucks were one of the beneficiaries and rose a few spots.
Main thing that was fixed was that the sun of all goal differentials is much closer to 0 now, with the team in 15th being even so it looks more reasonable with half the teams having a positive differential and half the teams negative. So that makes me feel like it’s an improvement but that could be false, who knows.
people think 22 is really bad but if you look at it most of the teams 15-23 are virtually tied and I feel like people wouldn’t object as much to 17th even though it’s basically the same.
also I am planning to run my simulator this weekend which will actually take the schedule into account and provide divisional rankings. That should be interesting.
Main thing that was fixed was that the sun of all goal differentials is much closer to 0 now, with the team in 15th being even so it looks more reasonable with half the teams having a positive differential and half the teams negative.
Is that a thing though? Looking at past standings it seems that more often than not it's something like 18 teams positive, 12 teams negative, 16-14, 17-14 and so on.
The predictions should be close to the 16 either side but you shouldn't force it to be exact.
@Melvin are you going to run the simulations factoring in schedules soon?
I guess travel would be another one that wouldn't favor us lolYeah the plan is to do that Saturday. I'm debating whether or not to add in some kind of back-to-back factor or not based on research of teams performing worse on the 2nd half of back-to-backs on the road.
I guess travel would be another one that wouldn't favor us lol
Conference | Division | Team | PTS | D1% | D2% | D3% | WC1% | WC2% | Playoff% | MissPlayoffPct | LastPlace% |
East | Atlantic | TOR | 100 | 48% | 25% | 11% | 4% | 4% | 92% | 8% | 0% |
East | Atlantic | T.B | 93 | 17% | 22% | 17% | 9% | 7% | 72% | 29% | 1% |
East | Atlantic | BOS | 90 | 13% | 13% | 16% | 9% | 10% | 61% | 39% | 2% |
East | Atlantic | FLA | 88 | 7% | 12% | 17% | 6% | 9% | 51% | 49% | 4% |
East | Atlantic | MTL | 86 | 6% | 11% | 12% | 8% | 7% | 45% | 55% | 7% |
East | Atlantic | DET | 85 | 4% | 7% | 10% | 8% | 8% | 36% | 64% | 8% |
East | Atlantic | OTT | 85 | 3% | 6% | 12% | 7% | 8% | 36% | 64% | 8% |
East | Atlantic | BUF | 81 | 2% | 4% | 7% | 4% | 4% | 21% | 79% | 14% |
East | Metro | CAR | 92 | 26% | 18% | 15% | 6% | 7% | 72% | 28% | 1% |
East | Metro | NYI | 92 | 23% | 19% | 16% | 6% | 6% | 70% | 30% | 1% |
East | Metro | NYR | 89 | 15% | 16% | 14% | 7% | 5% | 57% | 44% | 3% |
East | Metro | PIT | 89 | 14% | 17% | 15% | 7% | 6% | 59% | 42% | 3% |
East | Metro | N.J | 88 | 11% | 12% | 16% | 6% | 6% | 51% | 49% | 4% |
East | Metro | WSH | 86 | 8% | 11% | 10% | 6% | 6% | 41% | 59% | 6% |
East | Metro | PHI | 81 | 3% | 3% | 8% | 4% | 5% | 23% | 77% | 17% |
East | Metro | CBJ | 80 | 1% | 4% | 5% | 2% | 4% | 16% | 84% | 21% |
West | Central | COL | 101 | 59% | 19% | 10% | 3% | 2% | 93% | 7% | 0% |
West | Central | NSH | 90 | 10% | 18% | 17% | 7% | 5% | 57% | 43% | 2% |
West | Central | DAL | 89 | 11% | 16% | 16% | 6% | 7% | 55% | 45% | 5% |
West | Central | WPG | 89 | 8% | 15% | 16% | 7% | 6% | 51% | 49% | 5% |
West | Central | CHI | 86 | 6% | 9% | 12% | 6% | 8% | 39% | 61% | 8% |
West | Central | STL | 86 | 4% | 14% | 12% | 5% | 6% | 40% | 60% | 6% |
West | Central | MIN | 83 | 2% | 7% | 10% | 5% | 6% | 31% | 69% | 12% |
West | Central | ARI | 80 | 1% | 3% | 6% | 4% | 4% | 18% | 82% | 19% |
West | Pacific | VGK | 100 | 45% | 22% | 15% | 4% | 5% | 90% | 10% | 1% |
West | Pacific | SEA | 96 | 27% | 24% | 17% | 7% | 6% | 80% | 20% | 1% |
West | Pacific | EDM | 89 | 7% | 12% | 13% | 9% | 9% | 49% | 51% | 4% |
West | Pacific | VAN | 88 | 6% | 12% | 13% | 9% | 8% | 48% | 52% | 4% |
West | Pacific | S.J | 88 | 4% | 11% | 14% | 9% | 9% | 47% | 53% | 6% |
West | Pacific | L.A | 87 | 5% | 8% | 14% | 7% | 8% | 42% | 58% | 5% |
West | Pacific | CGY | 87 | 5% | 9% | 11% | 9% | 8% | 41% | 59% | 5% |
West | Pacific | ANA | 81 | 1% | 3% | 5% | 5% | 5% | 18% | 82% | 19% |
Thanks for running that @Melvin
Curious if you have any thoughts on the relatively strong parity in the results. surely the worst team will do worse than 80 points and more than three teams will crack 100 points?
Like, for example, in 2018-19, 9 teams cracked 100 points and 7 teams were below 80. The range was from Ottawa with 64 points to Tampa in 1st with 128 points - a staggering 64 point difference / 100% variance.
2017-18 had 11 teams crack 100 points and 9 teams below 80. The Sabres finished last with 62 points and Nashville (??) won the President's Trophy with 117 points. 55 point spread.
Even in a simulation over a large sample size, a 21 point spread between the best and worst teams is probably too low, no?