UFC Fight Night Blanchfield vs Fiorot - Full Card Predictions and Breakdown
UFC Fight Night: Blanchfield vs. Fiorot Prediction Breakdown
Hey fight fans, welcome back to my channel! This Saturday's UFC Fight Night: Blanchfield vs. Fiorot is gearing up to be an epic showdown, and I'm here to break it all down for you. From the prelims to the main event, I'll give you a comprehensive analysis of each fighter, their stats, recent fight history, and my prediction based on a combination of data science models and fight analysis. Whether you're here to confirm your picks, avoid betting mistakes, or just for the thrill of the fight, I've got you covered!
📊 What I've Got for You:
- Fighter Introductions: Get to know each fighter’s background
- Statistical Analysis: I'll break down the numbers, offering a side-by-side comparison of striking, grappling, and overall fight IQ.
- Fight History Review: Understanding where they've been helps us predict where they're going. I'll look into recent performances that could influence the outcome.
- Data Science Predictions: I've crunched the numbers through 7 different prediction models, providing a weighted forecast that's more than just a gut feeling.
- Personal Picks: Combining hard data with the nuances of fighter styles and recent performances, I'll offer my own predictions for each fight.
This card is packed with potential, and whether you're here to fine-tune your bets, get a new perspective, or just ramp up your excitement for the event, I've got something for you.
Patreon link for support: / mmadataguy
Matchups:
Angel Pacheco vs. Caolan Loughran 1:08
Andre Petroski vs. Jacob Malkoun 4:40
Viktoriia Dudakova vs. Melissa Gatto 8:42
Ibo Aslan vs. Anton Turkalj 12:58
Dennis Buzukja vs. Connor Matthews 17:50
Julio Arce vs. Herbert Burns 22:36
Virna Jandiroba vs. Loopy Godinez 26:35
Nate Landwehr vs. Jamall Emmers 30:10
Chidi Njokuani vs. Rhys McKee 33:59
Bill Algeo vs. Kyle Nelson 37:48
Nursulton Ruziboev vs. Sedriques Dumas 41:20
Chris Weidman vs. Bruno Silva 45:03
Vicente Luque vs. Joaquin Buckley 48:51
Erin Blanchfield vs. Manon Fiorot 52:37
If you find my content valuable, please consider hitting that like button and subscribing. Your support is what fuels my late nights of data analysis, model adjustments, and content creation. It's been an incredible journey growing this community of passionate MMA fans, and every like, comment, and subscribe means the world to me.
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Your predictions went pretty damn well last week. I'll keep you on 😅
Thank you for checking out the vid and being supportive 🙏 using both quantitative and qualitative information together really helps make accurate picks. Welcome to the channel! 👊
Love the analytics! Great work 🎉
Thank you brother 🤝 happy to share it
I appreciate the work you put in to gather the data & upload the videos
With support like that and the community we’re building, it’s all worth it 👊 thank you!
love your channel this is my 3rd week following you!
You’re a real one, thank you for your consistent support 🤝 energy like that is why I love doing this and sharing it
This guy is so much better than the snake oil salesman on KZhead who just go off the UFC stats site
Thank you 😂🙏
I started making videos this year because I just like talking about MMA but it takes time to just study the match ups and set up/edit the videos... Nevermind this! Can't imagine the amount of time to run these models, I try to study as much tape as possible and since I watch every event I have a pretty good read on most people on the roster.. but lately so many new fighters I have to rely on different ways of familiarizing myself with these people lol 😂 love the channel man!!
@@OctagonOutcome Thank you for your genuine support and appreciation brother 🤝It’s a huge time investment but with the support I receive from you all and the community we’re building, it’s very worthwhile! I love and respect MMA and fighters, and being able to talk about them and share their stories and skill is amazing
@@MMADataGuy 100%, keep it up! I appreciate the info. Any extra data is valuable imo while making picks lol
🔥 love this
Thank you! 🙏
found you recently. thank you.
Thank you for giving the content a chance and showing support 👊 welcome to the channel!
You just got a new subscriber
Thank you brother and welcome to the channel 🤝 you’re my 500th subscriber! I appreciate your support 👊
Whats up brother! Another big brain breakdown for sure🙏🏼
You already know bro 🔥 thank you for your support 🤝
Great breakdown 👊
Thank you brother 👊 glad you liked it!
My picks for this fight card from most confidence to least confidence are: Loughran, Algeo, Malkoun, Arce, Ruziboev, Blanchfield, Gatto, Buckley, Sliva, Mathews, Jandiroba, Mckee, Landwehr, Turkalj. Good Luck everyone!
Great picks brother, hope you enjoy the event 🙏 thank you for commenting and good luck! 👊
ありがとうございます✨🤝
ご視聴いただき、応援していただきありがとうございます!ありがとう、友人よ 🤝
Amazing Vid
Thank you bro, you’re a real one 👊 A supporter prior to even starting the channel 🙏
@@MMADataGuy we have all the same picks but one. Gonna be a good night
@@MMAJesus420 Yessir, let’s get it 💰🔥
Nice
Thank you! Glad you like the content 👊
🙏🏼🙏🏼🙏🏼
How do you run Gatto and Dudakova through a simulator? Like how accurate are these things? Feel like they cant be, since every fighter is unique and how do you even encompass level of competition, experience, those are the most difficult factors to really map out....Very intriguing thought, but for instance, you ended up with Dudakova, but she fought nobody, and performed poorly, how did the model then conclude with her? That doesnt even fit from a stat standpoint? Confusing
Models use all of the stats that are available, but what you’re referring to is more qualitative information rather than quantitative (e.g., quality of competition, experience, etc). So you’re right, and that’s why I have two probabilities- a model weighted probability, which tells viewers what the statistical analysis shows, then I consider the qualitative information you mentioned and more, to get to a final probability. So although the models combined together to give Dudakova a 59% probability, I knew that was way too high and I knocked that down because of factors like you mentioned
Are these systems/prediction models open to the public or did you create these models?
Good question! I created them bro
@@MMADataGuy that’s awesome man , do you have a background in programming?
@@bamuz Thank you bro! 👊 Yessir, background in data science, analysis, and programming
@@MMADataGuy I’m going to switch to my other channel and sub man I have a real serious question but don’t want to ask and give away the juice but I’m really curious as to “who” is making the more accurate predictions time and time again I’ll have to keep watching and will to find out
@@bamuz Good question! I track my picks and I’m averaging 70% accuracy for the last 7 months. Pretty consistent results, I don’t think other KZheadrs track their picks at all. I’m thinking about adding another video to my weekly uploads, one where I talk about potential underdogs (which ones have the highest likelihood of pulling off an upset) and worthwhile favorites (not too expensive, not too risky)
Why did you say Fiorot cant outstrike Blanchfield?
Great question - they have about the same average number of strikes landed per minute but Fiorot is 13% less accurate. And even though she’s taller, she has a slightly shorter reach, plus she’s 10 years older which all leads me to believe she won’t be able to out strike Blanchfield
that doesnt make any sense at all man.. Fiorot is a legit good boxer with combinations that Erin hasent seen yet. I like Erin but some of the things u said are false.."She cant outstrike" is so wrong @@MMADataGuy
@@LokyDayMMA I meant it’s less likely to happen, I’m sure she’s capable of pouring it on like she did in her fights prior to Rose Namajunas. I respect Fiorot’s skills, I’m just factoring in her age, stats, etc to form a prediction for this fight. Just giving an opinion at the end of the day, we won’t always agree and that’s okay, I’m trying to provide everyone stats, prediction model results, and picks
@@MMADataGuy i mean if u watch the fights u can see that striking betwin erin and fiorot is a big gap, same goes for ground game, one is good where the other is not. But when it comes to striking we have a clear path here. Fiorot is a LEGIT boxer with very good combos and erin is a basic striker with mostly 1-2 and thats it.Time will tell and soon we will know but its kinda clear that ERIN wont win a striking battle here
@@LokyDayMMA I think it’s poor wording on my end more than anything. You’re right, I should’ve instead said Fiorot is capable of out striking Blanchfield, but perhaps not to the point where she can get the finish. I did say Blanchfield wins by decision or submission, not KO/TKO so I think we have some general common ground here. Regardless, hoping for a good fight and I appreciate your feedback
what your model does not show on Blanchfield vs Fiorot is the gross difference in female fighters when one is pumped full of steroids and one does not take them. It was VERY clear. Imagine if Erin starts to take some type of PED like pretty much every other female fighter does. That added strength will make her almost unstoppable. She just could not get past the obvious man strength of Manon when trying to take her down. They really need to crack down harder in PEDs in MMA...its rampant.
Couldn’t have said it better myself brother, you nailed it
Manon is just too good, too big, and too strong for Blanchfield. I don’t see how anyone thought that fight was going against Manon. Do you have any evidence she is taking PED’s? I’m assuming they’re all taking blood tests
Sub
Thank you bro 👊
New channel, new sub as promised 🦍🦍
Thank you bro 🙏 I replied to your other comment to answer your question 👊