Short technical explanation: We've extended a pretty cool skill-based model of comparison outcomes called TrueSkill Through Time [1], developed by Microsoft Research.
Compared to TrueSkill, our model is able to learn the dynamics of football teams' skill in a more flexible way, and therefore we achieve slightly more accurate predictions. It also makes for great visualizations!
For those of you who know the Elo rating system: our model is similar but beats Elo by ~10% [2]
Our goal is to use the kickoff.ai platform to continuously evaluate and improve our models. We hope to become the FiveThirtyEight of football! [3]
Awesome project, I love the use of TrueSkill Through Time here! Really interesting that it beats out Elo as well.
FiveThirtyEight actually posted their WC predictions earlier today [1]. Finding where the two models diverge is a fun exercise -- they have Morocco as a 40% favorite tomorrow while your model has Iran as a 46% favorite.
It would be interesting to test the model by applying the Kelly Criterion [2] when you have an odds advantage to a fake initial $1000 bankroll and seeing where you end up at the end of the tournament.
If Iran does end up being a 46% favorite tomorrow then that Kelly test will start to look really good, really quickly - the market is only giving Iran a ~25% chance right now!
[+] [-] lum|7 years ago|reply
Compared to TrueSkill, our model is able to learn the dynamics of football teams' skill in a more flexible way, and therefore we achieve slightly more accurate predictions. It also makes for great visualizations!
For those of you who know the Elo rating system: our model is similar but beats Elo by ~10% [2]
Our goal is to use the kickoff.ai platform to continuously evaluate and improve our models. We hope to become the FiveThirtyEight of football! [3]
Links to our Euro 2016 model & show HN:
https://news.ycombinator.com/item?id=11868863 http://euro2016.kickoff.ai
[1] https://www.microsoft.com/en-us/research/publication/trueski...
[2] in terms of log-loss, compared to a baseline that gives probability 1/3 to each outcome.
[3] Actually, FiveThirtyEight also has football predictions (albeit only for club competitions): https://projects.fivethirtyeight.com/soccer-predictions/
[+] [-] ajra|7 years ago|reply
FiveThirtyEight actually posted their WC predictions earlier today [1]. Finding where the two models diverge is a fun exercise -- they have Morocco as a 40% favorite tomorrow while your model has Iran as a 46% favorite.
It would be interesting to test the model by applying the Kelly Criterion [2] when you have an odds advantage to a fake initial $1000 bankroll and seeing where you end up at the end of the tournament.
If Iran does end up being a 46% favorite tomorrow then that Kelly test will start to look really good, really quickly - the market is only giving Iran a ~25% chance right now!
[1] https://projects.fivethirtyeight.com/2018-world-cup-predicti...
[2] http://www.elem.com/~btilly/kelly-criterion/ for the background, http://www.albionresearch.com/kelly/ for a useful calculator
[+] [-] noso|7 years ago|reply
Looks really good and I love this stuff. Great work!
[+] [-] senatorobama|7 years ago|reply
[+] [-] noso|7 years ago|reply
ARG 73% to win for a draw 19% ISL 8% to win
[+] [-] gakos|7 years ago|reply