On April 3rd, at the Major League Pickleball Premier Level Draft, the New York Hustlers selected Jackie Kawamoto with the 16th pick of the 2024 draft.
Shortly after, the Los Angeles Mad Dogs used the 26th pick to select Jackie’s twin sister, Jade Kawamoto.
The final rosters for the MLP Premier teams are comprised of the 48 most in-demand players in professional pickleball. Six of those coveted spots went to three pairs of siblings: the Kawamoto sisters, Ben and Collin Johns, and Jorja and JW Johnson.
Whether as practice partners, doubles teammates, or competitors, sibling teams have a unique chemistry that is difficult to replicate. Their shared history, communication skills, trust, competitive edge, and motivation all contribute to their success on the court.
For Jackie and Jade, the sibling advantage has helped them rise rapidly through the ranks of professional pickleball.
“Just having that person to always practice with was definitely an advantage for us,” says Jackie. “I'm a righty and Jade is a lefty, and we move together very well. I think that's our biggest strength. I know where I need to be when she gets pulled wide, and vice versa. I know all of her shots. We just know each other's game so well.”
“We've practiced with each other our whole lives, so it comes naturally,” adds Jade.
Like many professional pickleball players, the Kawamoto sisters have a background in competitive tennis, playing throughout their childhood and into college.
Their journey with pickleball began in 2019.
“At first it was just fun, something to do with the family,” says Jade.
“It didn't take long for all of us to get hooked and pretty much play nonstop,” adds Jackie.
They started competing in 2021, and in less than 3 years, they’ve become top rated pros. The Dink recently rated Jackie and Jade the number five women’s doubles team in the world for 2024, and their 5.9+ DUPR ratings demonstrate how far they’ve progressed in their short time since finding the sport.
“Chemistry is such an important part of this game because of the nature of the game and how quickly it goes,” Jackie explains.
Jade adds that the emotional support is just as important as the training.
“When you grow up with each other, and you're the same age and have gone through similar experiences… I know it's a cliche or whatever, but it does help you on the court to have someone that knows your emotions and knows how to bring you up when you're down,” she says.
This season, that bond faces a new challenge. Where the Kawamoto sisters played together for the ATX Pickleballers in 2023, this year they’ll meet as rivals.
It’s fitting, perhaps, that their new teams represent the sister-cities of New York and Los Angeles, two American metropolises that share similarities and a healthy rivalry.
For Jade and Jackie, meeting head-to-head is an opportunity to keep improving their game.
“We were pretty competitive with each other when we were younger,” Jackie recalls. “It always pushed us to be a little bit better.”
“We still like to be competitive with each other,” Jade says, “but mostly in a fun-spirited way, not like ‘I have to be better than you at this’. It helps us get better if we're trying to have that competitive mindset, but also keeps it fun.”
AI’s Pickleball Potential
Sports aren’t typically the first thing that comes to mind when you think about the Artificial Intelligence (AI) revolution. However, AI in sports is now synonymous with big business. Estimates value the sports AI market at more than $2 billion, and research suggests that it may reach more than $7 billion by 2027. Currently, AI is being used for everything from training NFL players to shaving time off their 40-yard dash to predicting and preventing injuries on the basketball court. And it’s poised to have a significant impact on the sport of pickleball.
Harnessing the Power of AI for Pickleball
AI systems use mathematical algorithms that generate highly accurate analysis in real time. For pickleball, data can be collected via wearable sensors and high-definition motion capture cameras to record players' footwork, paddle angles, and shot choices. This data can be transformed into a format processed by an algorithm and can be used to train the AI model, allowing it to learn patterns and relationships. The model is then integrated into an application or program and is the basis for making predictions on new data that is collected. The more data it acquires, the more the algorithm adapts and the better its ability to simulate human intelligent processes. Coaches can then reference the data and immediately adjust a player’s mechanics and techniques, repeat the drill or session, and compare results.
But AI isn’t just for pickleball pros. Recreational players are already enjoying the benefits of AI. Training tools like SwingVision and PB Vision bring the power of AI to local courts without the need for high-end equipment or professional-grade video. By uploading footage shot on a smartphone, these systems can analyze player movements, pinpoint problems in swing speed and follow through, and provide suggestions for improvement. In addition, AI is becoming an integral part of emerging pickleball virtual reality (VR) simulations that produce engaging immersive, customized training programs.
In addition, the recent partnership between leading global pickleball rating system DUPR and sport and AI analytics technology pioneers Playsight has opened up new possibilities. PlaySight’s AI automated highlights also allow players to relive their best moments in a match instantly. The collaboration promises to redefine how players experience and interact with the sport.
Preventing Injury and Speeding Recovery
Off the court, AI is showing great benefits in improving player health and conditioning. Systems can evaluate heart rate and joint stress and alert players to potential injury. Next-generation pulse oximeters incorporate AI into handheld devices that measure respiratory rate, temperature, and blood saturation levels.
AI can also help accelerate recovery times from injuries. Trainers and physical therapists are increasingly relying on AI-generated results to create personalized rehab programs to get players back on the court faster and prevent re-injury.
In addition, manufacturers of pickleball equipment, especially paddle companies, are using AI-powered systems to determine material specifications and performance metrics for the design of their newest products. Because of its ability to perform analysis on a microscopic level, AI can identify the optimal materials for improved power, control, and durability and give manufacturers next-level customization options to develop paddles suited for a variety of playing styles. These advancements are poised to propel paddle sales, which are projected to reach $253.8 million by 2028 and are currently more than $125 million in the US alone.
It's an exciting time for pickleball and AI will continue to play an ever-expanding role in the sport’s future. As more players tap into AI’s ability to achieve better results on the court, it’s likely there’ll be a corresponding increase in their DUPR ratings.
In the dynamic world of DUPR, the journey to unlocking your full potential begins with understanding the fundamentals. From earning your initial rating to honing your skills through gameplay, every step shapes your pickleball experience.
In this chat, Dave and Sarah will tackle common questions players encounter when starting their DUPR journey. Let's explore starting out, finding good playing partners, and understanding match count.
Here's a breakdown of the key takeaways:
1. Getting Started:
2. Playing Partners:
3. Match Count:
4. Playing Dynamics:
5. Fair Play:
6. Strategy Matters:
7. Recording Matches:
8. Club Participation:
9. Match Dynamics:
10. Past Results:
11. Rating Decay:
DUPR isn't just a rating system; it's a community-driven platform designed to elevate your pickleball experience.
For more insights and updates, please stay connected with DUPR through our app, website, social media channels, and newsletter. We're here to support you on your pickleball journey, one match at a time.
Disclaimer: The responses provided in this blog post are based on the conversation between Dave and Sarah, and are subject to updates and revisions by DUPR.