Tables of Stats
Registered User
So let's rock and roll on the next thread where I predict our players' point totals based on their last 3 seasons of play and update a table every 5 games so we can track their season against my prediction. I'm going to base my stats off the percentage of games our skaters played in those seasons and project that to our, hopefully, 56 game season that starts tonight. I'll also add columns for an 82 game season as that'll be a lot easier to compare to a normal season. To avoid weirdness with rookies who got a few games at the end of a season I'll be skipping those awkward first seasons.
Also, yes I know these predictions will be off right from the start of the season as J.T. Miller is set to miss more games in a shortened season than he missed over the past 3. That's why this is mostly for fun and so we can always look back and see who was hot, cold, or in between over a 5-game stretch. It's not serious so sit back, relax, and prepare to read a big table of numbers!
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The forwards that I can generate data for account for 573 of an expected 672 needed man-games this season. This means that between Hoglander and Michaelis there are 99 man-games to go around. These games could also go to players already accounted for if they are healthy or on the bench more and in the press box less or they could go to players not currently accounted for.
The defense I can generate data for account for 296 of an expected 336 needed man-games for this season. The data it generates is garbage as it expects exactly a Quiin Hughes sized gap to be made up in our defense which none of our rookies are expected to produce. I included it because it's funny; if I were to be more serious I'd average the impact of non-roster players over the past 3 seasons like I do with player stats and get a more reasonable number.
Anyway, I don't have more time to work on this so if there are any typos please point them out and I'll update this post after I'm off work.
Also, yes I know these predictions will be off right from the start of the season as J.T. Miller is set to miss more games in a shortened season than he missed over the past 3. That's why this is mostly for fun and so we can always look back and see who was hot, cold, or in between over a 5-game stretch. It's not serious so sit back, relax, and prepare to read a big table of numbers!
Name | GP | G | A | P | GP/82 | G/82 | A/82 | P/82 |
Elias Pettersson | 52 | 21 | 29 | 50 | 75 | 30 | 42 | 72 |
Brock Boeser | 45 | 17 | 20 | 37 | 66 | 25 | 30 | 55 |
J.T. Miller | 54 | 15 | 27 | 42 | 80 | 22 | 40 | 62 |
Bo Horvat | 52 | 17 | 21 | 38 | 76 | 25 | 31 | 56 |
Tanner Pearson | 56 | 13 | 14 | 27 | 82 | 19 | 21 | 40 |
Jake Virtanen | 51 | 10 | 9 | 19 | 75 | 15 | 13 | 28 |
Adam Gaudette | 43 | 6 | 10 | 16 | 62 | 9 | 15 | 24 |
Brandon Sutter | 31 | 5 | 6 | 11 | 46 | 8 | 9 | 17 |
Antoine Roussel | 43 | 5 | 10 | 15 | 63 | 7 | 14 | 21 |
Tyler Motte | 37 | 4 | 3 | 7 | 54 | 6 | 5 | 11 |
Jay Beagle | 46 | 3 | 7 | 10 | 67 | 4 | 11 | 15 |
Loui Eriksson | 43 | 7 | 9 | 16 | 63 | 10 | 13 | 23 |
Zack MacEwen | 14 | 4 | 1 | 5 | 20 | 6 | 1 | 7 |
Justin Bailey | 6 | 1 | 0 | 1 | 9 | 1 | 1 | 2 |
Nils Hoglander | - | - | - | - | - | - | - | - |
Mark Michaelis | - | - | - | - | - | - | - | - |
Hog + Mich + ?? | 99 | 15 | 16 | 31 | 146 | 24 | 24 | 48 |
FW Totals | - | 143 | 182 | - | - | 211 | 270 | - |
Quinn Hughes | 55 | 6 | 36 | 42 | 81 | 10 | 54 | 64 |
Nate Schmidt | 47 | 5 | 18 | 23 | 69 | 7 | 27 | 34 |
Alex Edler | 44 | 5 | 19 | 24 | 65 | 7 | 28 | 35 |
Tyler Myers | 55 | 5 | 16 | 21 | 81 | 7 | 24 | 31 |
Travis Hamonic | 46 | 3 | 7 | 10 | 68 | 4 | 11 | 15 |
Jordie Benn | 49 | 2 | 8 | 10 | 71 | 4 | 12 | 16 |
Olli Juolevi | - | - | - | - | - | - | - | - |
Jalen Chatfield | - | - | - | - | - | - | - | - |
G. Brisebois | - | - | - | - | - | - | - | - |
B. Rafferty | - | - | - | - | - | - | - | - |
Jack Rathbone | - | - | - | - | - | - | - | - |
Rookie D + ?? | 40 | 8 | 38 | 46 | 57 | 12 | 58 | 70 |
D Totals | - | 34 | 142 | - | - | 51 | 174 | - |
Team Totals | - | 177 | - | - | - | 262 | - | - |
The forwards that I can generate data for account for 573 of an expected 672 needed man-games this season. This means that between Hoglander and Michaelis there are 99 man-games to go around. These games could also go to players already accounted for if they are healthy or on the bench more and in the press box less or they could go to players not currently accounted for.
The defense I can generate data for account for 296 of an expected 336 needed man-games for this season. The data it generates is garbage as it expects exactly a Quiin Hughes sized gap to be made up in our defense which none of our rookies are expected to produce. I included it because it's funny; if I were to be more serious I'd average the impact of non-roster players over the past 3 seasons like I do with player stats and get a more reasonable number.
Anyway, I don't have more time to work on this so if there are any typos please point them out and I'll update this post after I'm off work.