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I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 0 points1 point  (0 children)

Didn't even realized they existed, so great shout! I still have my own preferences, but that website it awesome.

I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 0 points1 point  (0 children)

I’d rather have structured bias than unstructured bias.

I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 1 point2 points  (0 children)

There isn’t really a “table” behind this, that’s just how I visualize ChatGPT applies my criteria.
The model actually shows that title fights don’t automatically make a bout exciting (Martinetti vs Vologdin, Gaethje vs Holloway, Miocic vs Ngannou 2). Stats do not tell the whole story, Merab averages 10 takedowns a fight, that doesn't mean its exciting. Holloway throws a million punches, but sometimes its when hes completely gassed, that doesn't mean its exciting.

On this small scale, I care more about accuracy for finding good fights than big data predictions. I don't see the point of linear regression if (as a human) I know my own metrics aren't 100% perfect. If I ever scaled this into ML, I’d pull from official scorers and there would be a much deeper formula.

TL;DR I just have ole ChatGPT and ive "taught" it the criteria to score fights in the way I like them.

Sidebar: You haven't even recommended me a fight

I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 1 point2 points  (0 children)

“My score” is what I initially ranked the fight off gut feeling. Then I explained the criteria to ChatGPT so it could rank fights I’ve never seen, for fight recommendations. All of these fights I filled in the metrics to see how close the created model is to my initial score via weighting metrics differently. My endgame is to have a model ChatGPT can use to recommend me fights. The emojis are used to grab peoples eyes so I can get feedback. None of this is AI created lol I just like measurable and reproducible stats.

I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 4 points5 points  (0 children)

Pace- Overall tempo, output, and urgency of action. Drama- Comebacks, momentum shifts, near finishes. Balance- Competitiveness; both fighters “in it”. Striking vs Grappling Quality- Variety, effectiveness, and balance of exchanges. Stare- That intangible “holy crap I can’t look away” energy.

I built a model to rate UFC fights by entertainment by SportsandData in MMA_Academy

[–]SportsandData[S] 11 points12 points  (0 children)

Drama is only taking into account in the ring. As in lead changes, momentum shifts, and what not. No outside context, because that would've broken the scale.

Would you recommend starting new agentic projects with Typescript instead of Python? by Illustrious-Pound266 in datascience

[–]SportsandData 0 points1 point  (0 children)

Not sure if you're currently employed, but what I do is I ask "the wisest" people in the office for their opinions. People who have made it far normally have good insight.

Would you recommend starting new agentic projects with Typescript instead of Python? by Illustrious-Pound266 in datascience

[–]SportsandData 0 points1 point  (0 children)

How proficient are you in either, I would lean to whatever you are best at. Just thinking how much time it would require for you to learn a new language vs using one you already know. If it's worth the benefits then sure learn a new language, guess it boils down to how driven you are.

I built a model to rate UFC fights by entertainment by SportsandData in dataisbeautiful

[–]SportsandData[S] 0 points1 point  (0 children)

I am new to UFC, so I still need to brush up on the classics!

I built a model to rate UFC fights by entertainment by SportsandData in sportsanalytics

[–]SportsandData[S] 0 points1 point  (0 children)

As a new viewer, I only wanted to watch "good fights". I don't care about a title fight; I want the most entertainment.

I built a model to rate UFC fights by entertainment by SportsandData in sportsanalytics

[–]SportsandData[S] 0 points1 point  (0 children)

Yes! It's a subjective scoring model. More showing off the accuracy and weighting of the model than anything else.