Closed systats closed 5 years ago
I'm not quite sure what you mean. If you're using elo.run()
, the pre- and post-update elos should be pretty easy to get:
> library(elo)
> e <- elo.run(score(points.Home, points.Visitor) ~ team.Home + team.Visitor + group(week), data = tournament, k = 20)
> head(as.data.frame(e))
team.A team.B p.A wins.A update elo.A elo.B
1 Blundering Baboons Athletic Armadillos 0.5000000 0 -10.00000 1490.000 1510.000
2 Defense-less Dogs Cunning Cats 0.5000000 1 10.00000 1510.000 1490.000
3 Fabulous Frogs Elegant Emus 0.5000000 1 10.00000 1510.000 1490.000
4 Helpless Hyenas Gallivanting Gorillas 0.5000000 0 -10.00000 1490.000 1510.000
5 Cunning Cats Athletic Armadillos 0.4712494 1 10.57501 1500.575 1499.425
6 Defense-less Dogs Blundering Baboons 0.5287506 0 -10.57501 1499.425 1500.575
The post-game elos are in the last two columns, and you could easily take the update and add/subtract it to get the pre-game elo. You could also consider as.matrix(e)
to get the elos after each grouping-variable (in this case, "week").
Does that help?
Thanks. That was pretty obvious and much more efficient than going over as.matrix. We get pretty nice results from Elo compared to PI and Glicko2.
Fantastic! I'm glad you like the package, and glad you got this figured out! Don't hesitate to reach out with any other questions!
Hi great package! Is is only possible get pre-game elo scores and update afterwards?