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Crickytics – Applying machine learning to Cricket
- didgeoridoo 9y agoInteresting stuff, but does this actually perform better than using simple multiple linear regression on the same data?
- Faizann20 9y agoYes it does.
- maverick_iceman 9y agoIt's not necessary to apply sophisticated models like random forest/neural nets to cricket. It's a sports for which humongous amount of data is kept meticulously; also we're trying to predict pretty standard stuff like who'll win the next match. Standard regression should be able to perform very well (and it does).
- praneshp 9y agoI agree. Just cricinfo statusguru is a huge treasure trove, in addition to several ball by ball datasets from games. Any links to something interesting to read that you suggest?
- maverick_iceman 9y agoieeexplore.ieee.org/document/7489605
- msaharia 9y agoWho will win the match? Sure. But I think the prognostic value (monetary?) will be in ball-by-ball prediction/over prediction/no. of runs scored by a particular batsman, in which we will need a model that can be updated and the ability to ingest and make sense of voluminous amount of data. Some kind of data assimilation component too, maybe?
- Faizann20 9y agoSo I did try simple models but the results with sophisticated models have come out to be better than simpler ones.
- msaharia 9y agoI have been playing with some cricket datasets in my spare time. You should document your process. Also, make some comparisons with the simplest regression model. Are you publishing the scraped datasets?
- Faizann20 9y agoI did try linear regression but the results were bad. That's why I moved towards sophisticated models.