I just realized I was running these simulations in hockey, lol whoops. I blame my uncaffeinated morning brain.
I just ran a similar experiment with my handball team.
Duckworth is LB with 1914 OR, 35 exp, chem 90 ener 89
Liscomb is RB with 1540 OR, 20 exp, chem 83 ener 89
McDouggall is LB with 1041 OR, 6 exp, 44 chem ener 99
I'm going out on a limb and saying the halved chemistry more than makes up for the 10 energy difference of guys 2 and 3
1st game is my regular lineup (L-R offensive backs on their proper side):
https://handball.powerplaymanager.com/en/match-report.html?data=ic-4226723
I inverted them:
https://handball.powerplaymanager.com/en/match-report.html?data=ic-4226724
I replaced the R back on the left side with a L back but with ~500 less OR (L back still on the R)
https://handball.powerplaymanager.com/en/match-report.html?data=ic-4226725
Game 4 I put R back on his good side and kept the "replacement" weaker player on the left
https://handball.powerplaymanager.com/en/match-report.html?data=ic-4226729
Offensive / Shooting ratings
1 - 269 / 233
2 - 258 / 233
3 - 254 / 225
4 - 252 / 219
Conclusions:
- shooting is unaffected by side preferences
- having 2 players on the wrong side only causes a 9 points OR loss (4.5 / player) given the same OR, which is less than 2% difference per player in this case
- The player with less OR being on his GOOD side would be about equivalent to the other one on his off side with about 200 more OR (300 OR difference)?
- There is a 17 rating difference for a drop of 873 / 13194 total OR over the full offensive lineup (6% rating drop for 7% of OR), so it seems quite proportional if everyone is on the right side.
Vyber krajinu: |
![]() |
USA |
Do note the above is based on calculated ratings only (I'm assuming attribute ratios probably play a role, thankfully all my players follow a pretty similar pattern).
Would require a much more in-depth analysis to see if actual stats vary by much (like, are steals/blocks/actual shots in-game affected by like, 5% if the player is not on his "good" side? It would take a LOT of games to notice any kind of a trend xD)
Would require a much more in-depth analysis to see if actual stats vary by much (like, are steals/blocks/actual shots in-game affected by like, 5% if the player is not on his "good" side? It would take a LOT of games to notice any kind of a trend xD)
Most of my team are two way players. To keep variables at a minimum, I used exactly the same base line-up, where one winger was R, and the other was U. All other players were in their same preferred positions. I played 10 instant challenges against teams with similar total team strength to my own, 5 with the R winger on the right side and 5 with him on his wrong side (L). Team strength variations were 5-6% lower on both offense and defense when playing on his wrong side. Shooting was unaffected.
quick question, just realized ive never tried this before. If you put in settings "trailing from 0 to 99", will that work to change your settings if you are tied?
Ah shoot, changed my lineups, but forgot to change my priority back from very low
dropped a game against Ukraine we definitely should have won, hope it doesnt cost us a knockout round spot

Anyone interested in taking on being the national coach of our senior team and U-19? We don't have any U.S. candidates for the next season yet.
Oh I forgot I have to reapply haha. Ill put my hat in to stay as senior team manager
coming to realize im probably going to miss some people for national team scouting if a club that sold them has gone inactive by now. Shouldnt be a long term problem but right now it might stink
If you go back a few seasons to when those teams were still active and produce players now in the age range you are looking for, you can find the players in their transfer histories. You can also take a look at past drafts for each U.S. league to find players (especially draft picks that ended up getting terminated instead of sold).
Tvoje obľúbené diskusie
Posledné príspevky