UFC Machine Learning Prediction Model

Posted 2 weeks ago

Worldwide

Summary

Need a ufc fight prediction model built. Goal is to predict win probability, method of victory, will fight go distance. Want to use machine learning from past fights, and also using ufc stats. -Built in GitHub and hosted in Vercel -Card style setup like pictures. -Need the theme to align with my other models and website pages. -In the cards would be past matches and results, a radar chart graphic or visual showing each fighters strengths and other stats, also if there’s an api that has news articles about the fighters or their training so my customers to look days in advance and see how training or what writers are saying. -AI reasoning on picks -Scraping to bring in next fights and book odds -Results tab that will show the models prediction results on plays -After fights are over, want to be able to show who won and how - fighter avatars with their profiles side by side on the front of the card Attaching some machine learning thoughts Pic of my mlb model interface and shows how I want the card layout, with a details button that expands for more predictions/ stats/ news articles On the front id like to show fighter avatars where the teams logo is. Fighter name under, bios under. Win probability. At the top would be time of fight, location, card # or name Would like to see a visual of how it could look and open to other suggestions if you have prior experience with ufc

  • $100.00

    Fixed-price
  • Intermediate
    Experience Level
  • Remote Job
  • Ongoing project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
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Skills and Expertise
Mandatory skills
Machine Learning
Python
Activity on this job
  • Proposals:15 to 20
  • Last viewed by client:2 weeks ago
  • Interviewing:
    3
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Dec 23, 2022
  • United States
    Mt Washington3:22 PM
  • $2.5K total spent
    16 hires, 5 active
  • 28 hours
  • Sports & Recreation
    Small company (2-9 people)

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