UFC 299 - Full Card Predictions and Breakdown
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In this video, I'm diving deep into UFC 299: O'Malley vs. Vera 2, and I've got a detailed analysis and predictions for all 14 fights on the card. From the prelims to the main event, I've analyzed fighter stats, their recent performances in the UFC, and I’ve provided prediction results from seven data science models to bring you the most comprehensive insights.
🥊 What's Inside:
- Fighter Deep Dives: I've taken a close look at each fighter, breaking down their strengths, weaknesses, and key performances.
- Model Predictions: I've run seven different data science models, including Logistic Regression and Neural Networks, to predict the outcomes of each fight.
- My Personal Picks: After considering all the data, I'll share my predictions for who I think will come out on top.
- Betting Insights: Based on the model's probabilities and potential returns, I'll give you my take on the smartest bets for the night.
📊 My Track Record:
The predictions and picks had a 73% accuracy rate for UFC Fight Night Rozenstruik vs. Gaziev. I review my recent accuracy results in this video as well.
👊 Full Fight Card Analysis:
Ion Cutelaba vs. Philipe Lins
Joanne Wood vs. Maryna Moroz
CJ Vergara vs. Assu Almabayev
Robelis Despaigne vs. Josh Parisian
Michel Pereira vs Michal Oleksiejczuk
Pedro Munhoz vs Kyler Phillips
Mateusz Gamrot vs Rafael Dos Anjos
Katlyn Cerminara vs Maycee Barber
Curtis Blaydes vs Jailton Almeida
Petr Yan vs Song Yadong
Gilbert Burns vs Jack Della Maddalena
Kevin Holland vs Michael Page
Dustin Poirier vs Benoit Saint Denis
Sean O’Malley vs Marlon Vera
Please Like, Subscribe, and hit that Notification Bell! Your support means the world to me and fuels my passion for breaking down fights and sharing my predictions. I put in a lot of effort analyzing data, running models, and crafting these videos for you all. Let's enjoy this epic night of fights together!
Catch you all in the next video!
#ufc299 #ufcanalysis #ufcdata #ufcfightnight #ufc #ufcpredictions #mma #ufcpicks #fightanalysis #datascience #ufcbets #IonCutelaba #PhilipeLins #JoanneWood #MarynaMoroz #CJVergara #AssuAlmabayev #RobelisDespaigne #JoshParisian #MichelPereira #MichalOleksiejczuk #PedroMunhoz #KylerPhillips #MateuszGamrot #RafaelDosAnjos #KatlynCerminara #MayceeBarber #CurtisBlaydes #JailtonAlmeida #PetrYan #SongYadong #GilbertBurns #JackDellaMaddalena #KevinHolland #MichaelPage #DustinPoirier #BenoitSaintDenis #SeanOMalley #MarlonVera
Пікірлер: 11
new subscribed and put notification bell on, keep studying bro
@MMADataGuy
2 ай бұрын
Thanks bro! I appreciate it 👊
Keep at it bro. You're on to something special here!
@MMADataGuy
2 ай бұрын
Thank you bro, means the world to me 👊
@potpharma1524
2 ай бұрын
why do you think that the fight simulations favored Blaydes so heavily?
@MMADataGuy
2 ай бұрын
@@potpharma1524 Great question bro - I think it valued his better takedown average, striking defense, and his greater strikes landed per minute rate, on top of his one inch height and reach advantage. He also tends to outstrike his opponents in multiple previous fights, so those stats combined with those historic performances are probably what the 1000 fight simulations picked up on. That’s why I weigh the models together, because each one evaluates and predicts the fight using different data-science logic, so combining them helps get a final weighted probability- one that takes everything into consideration and balances it out. Then I make a final prediction using that plus intuition/qualitative knowledge about the fighter
@potpharma1524
2 ай бұрын
@@MMADataGuy that certainly checks out, makes sense. THANKS !
How did the model do in the last card? UFC VEGAS 87.
@MMADataGuy
2 ай бұрын
8/11, 73% accurate. 75% and 92% for the 2 events before that
much appreciated, as always! thanks mmadataguy.
@MMADataGuy
2 ай бұрын
Glad you enjoyed! Thank you 👊