Alright, let's talk weight classes in the MMA cage! 🥊💥 From featherweights to heavyweights, each class brings its own flair and fighting style. Dive into the world of MMA with us as we break down the details. Who's your favorite weight class warrior? Let us know in the comments below! ⬇️⬇️ #MMAFacts #FightNight #WeightClass #mma #mixedmartialarts #matrixfightnight #Mfn
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Weight classes in MMA aren’t just numbers—they’re game-changers. Why are weight classes crucial in MMA? Let’s break it down! 🔥🔥 #mma #mixedmartialarts #safety #fairness #mfn #matrixfightnight #weightclasses
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Ever watched an MMA fight and thought, “Why did the ref stop it?!” 🧐 We’ve got your back with a quick guide to understanding MMA like a pro! 💥 From the rules that keep things fair to the moves that can end a fight, here’s what you need to know. ⚖️ Swipe to break down the basics, the ways to win, and those no-go moves! Ready to level up your MMA knowledge? 🥋 Let’s go! 👉 #MMA101 #FightNightFacts #mfn #mixedmartialarts #mmabasics #matrixfightnight
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Tatsujin MMA founder & head coach, Martijn de Jong, shows the importance of rotating your front leg inward slightly when throwing a jab. In MMA, the jab is a fundamental tool in a fighter's arsenal. It serves as a quick, straight punch thrown with the lead hand, aimed at disrupting the opponent's rhythm and setting up subsequent strikes. By rotating the front leg inward, you generate additional power and torque in the punch, increasing its effectiveness and allowing for a more forceful impact. Stay tuned for more insights from Martijn on refining your striking game! #TatsujinMMA #MMAJab #StrikingTechniques
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🏆 Paddy Pimblett triumphed over Bobby Green in the first round at UFC 304, showcasing his incredible skill and determination. What does this victory mean for the future of MMA? Share your insights and join the discussion below. #UFC304 #PaddyPimblett #MMAProfessionals
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My MMA model performed incredibly well for last Saturday's card. Of 10 bouts: -2 were an abstain (my model refused to determine a victor) -7 were correctly predicted -1 was incorrectly predicted On the other hand, Draft Kings predicted 8 bouts correctly and 2 incorrectly. Although my model performed worse than the Draft Kings favorite picks in raw accuracy, my model is clearly picking up a major signal that Draft Kings is missing - made most evident by my model's ROI for the night. For last Saturday's card, my model had a 47.2% profit whereas Draft Kings had a 15.6% profit for the night. In regards to overall performance from the start of my model's deployment, my model is at 15.3% profit vs Draft Kings at 4.8% for their favorite picks!
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