@GreenCodeCodes trained an AI to predict tennis, so I tried it on badminton πΈ
I gave every pro an Elo rating and ran it through 105,000 matches (2007 to today).
Here are the current top 10s it spits out π
@GreenCodeCodes trained an AI to predict tennis, so I tried it on badminton πΈ
I gave every pro an Elo rating and ran it through 105,000 matches (2007 to today).
Here are the current top 10s it spits out π
@GreenCodeCodes The ratings don't hide much.
An Se Young sits at 2890, nearly 300 points clear of the entire women's field (317β56). The model just saying out loud what everyone watching already knows.
Men's side: Shi Yu Qi on top, Axelsen still holding the highest peak.
@GreenCodeCodes Does it actually predict matches? ~70% of the time, nowhere near his headline numbers, but leak-free and honest (no peeking at the future).
Learned a ton. The hardest part was the data; Claude helped me pull it from BWF's hidden API.
Code + dataset below π
@AbhinavXJ Like i understand their pov too but their audacity to write 5k/month stipend and ask for iitian is out of my understanding. If you are asking for that tag, pay for that tag too. But nahh