Sports betting without the noise

5 January 2026
Mark Phillip has been in sports, tech, and betting since 2006, and his start was personal.
In 2000, a homesick New Yorker living in Austin almost missed one of the most legendary Monday Night Football finishes ever. That moment—waking up to find he’d missed the “Monday Night Miracle”—led him to create Are You Watching This?!, a way to make sure fans never miss the games that matter. Over time, he turned that obsession into MetaBet, connecting live sports with betting in a way that actually makes sense.
Mark Phillip has been in betting since 2006.

Mark Phillip has been in betting since 2006.

With microbets, streaming, and gambling starting to blur together, Phillip is exploring how fans discover, watch, and bet on sports without feeling lost in noise. From spotting the moments that matter even when the scoreboard doesn’t to navigating fragmented broadcast rights, MetaBet and Are You Watching This?! are tools for fans and operators who want more than just numbers.
You’ve been building sports tech since 2006. What first inspired you to create "Are You Watching This?!" and how did that path lead to MetaBet?
The inspiration was purely selfish. The seed was planted back in 2000—I had just moved to Austin, was feeling homesick, and made plans to watch my hometown New York Jets on Monday Night Football. By halftime, they were getting embarrassed, so I turned it off and went to bed. I woke up the next morning to find out I missed the "Monday Night Miracle," an overtime win so epic it has its own Wikipedia page. I’ve never forgiven myself for missing that. I realized I needed a way to guarantee I’m never the loser at the water cooler the next morning, and that obsession led to quitting my job and starting Are You Watching This?!. For years, we focused on curation and discovery—helping fans find the game. But I didn't have a good story for monetization until PASPA was repealed. Once that fell, we realized monetization was the missing piece. We’re combining excitement data with gambling data to not just recommend which game to watch, but which wager to place along with it.
You’ve described sports as the last DVR-proof genre. Why does real-time data matter so much today, and what changes when fans discover great moments as they happen instead of after the fact?
Sports have a unique shelf-life. I can binge a show that’s three years old and still have a full experience. But watching an NBA game from start to finish that’s three days old feels hollow. We live in a world where we expect up-to-the-second data on our Uber and our pizza delivery—betting lines and game stats shouldn't be any different. If you can reach out to the right fan at the right time with thrilling live sports, your engagement rate goes through the roof. Stop interrupting them with generic promos and start connecting with content they actually care about right when they care the most. That’s the difference between a fan scrolling past an ad and a fan leaning in.
Your technology can understand not only what a user follows, but how emotionally invested they are. How does that kind of personalization change the experience for everyday fans?
Fandom isn’t binary. But you wouldn’t know it looking at most sports apps. Too often, the first question asked is "Who are your favorite teams?" If you select a team, you get drowned in alerts. Don’t select a team? You hear nothing.
In broad strokes, we categorize games as OK, GOOD, HOT, and EPIC. If a Yankees game reaches GOOD, that’s exciting enough for a die-hard fan to care. But for a casual or non-Yankees fan, waiting until EPIC increases your engagement rate. By understanding these subtle thresholds, we dial in what we call the "Fingerprint of Fandom". It allows our partners to stop spamming users and act as a trusted guide, bringing them back only when something truly unmissable is happening.
Microbets are increasingly popular among U.S. bettors. What will microbetting look like in five years from now?
Honestly, I think we've already hit a saturation point. I’ve never been a big fan of the "next pitch" style of micro-betting. No first-time bettor has ever said, "I want to bet, but there just aren't enough options". In five years, I hope the industry realizes that volume doesn't equal engagement. Most micro markets exist purely for betting, and flooding the UI with them just smothers casual fans. The future of microbetting needs to pass a simple test: "Does this bet elicit emotion?". It has to be anchored in the joy of the sport—bets on momentum swings or key drives—rather than just turning a game into a random number generator.
Prediction markets have dominated the industry news cycle in 2025. How do you see them fitting into the broader U.S. sports betting landscape in the years ahead?
Prediction markets are fascinating, but they suffer from the same "friction" problem as traditional sportsbooks. If the interface looks like a financial exchange or a spreadsheet, you’re going to hit a wall with the mass market. For these to fit into the broader landscape, they need to be "storified." Just like we do with sports data, you have to take that complex market data and present it in a way that connects with the narrative. If operators can contextualize these markets, placing them right next to the relevant news or content rather than hiding them in a separate tab, they’ll succeed. But if it feels like a math or economics test, it won’t escape its niche status.
AI is everywhere right now. What’s the right way for the sports and betting industry to use AI as a tool rather than treating it as the end goal?
The biggest word for me when looking at AI and Machine Learning is restraint. It’s rare to go a week without a new startup launching with AI all over their pitch deck. Generative AI feels magical, unlocking seemingly infinite content for every user, but creation without curation can be suffocating.
Streaming and gambling are starting to blur. What have you learned about driving someone to watch a game versus placing a bet, and how do those motivations differ?
Discovery is a massively untapped opportunity for operators. First-time bettors aren't asking, "Where can I place a bet?"; they’re asking, "When does my team play?" and "Which streamer is broadcasting the game tonight?". It’s not complicated: helping fans find the game they want is the best way to earn their trust. Sometimes we suffer from "Main Character Syndrome" in gaming. We forget that fans don’t care about the -110s and +250s; they care about their favorite players and teams. For us, the Holy Grail is "Luka Doncic has 60 points through three quarters! Pay 99 cents to watch the 4th quarter, or place a wager on if he'll beat Kobe’s 81, and we'll let you watch for free". Anchoring engagement in live sports makes the wager prompt feel like a natural extension rather than a distraction.
You’ve mentioned that certain games become exciting even when the score doesn’t reflect it. How do you teach an algorithm to recognize the human side of sports moments?
My favorite example is the opening match of the 2014 World Cup. Host-nation Brazil was expected to roll over Mexico, but El Tri’s Memo Ochoa had a goalkeeper performance for the ages in a thrilling match that ended 0-0. Our patented tech can drill deeper than the score and objectively measure those moments that make you scream at the TV.
Looking ahead to 2026, what shift do you expect in how fans discover games and make betting decisions? And what should operators be preparing for now?
Rights Fragmentation is the major shift. I steal from Game of Thrones often on this topic: "fragmentation is a ladder". Fans are increasingly frustrated trying to find games to watch across cable, streamers, and over-the-air broadcasts, and it's only going to get harder. In 2026, the operators and affiliates that win will be the ones leaning into being a "concierge". If casual fans can't watch the team, they can't connect with the team, and if they can't connect, they won't bet. Keep a close eye on models like Sling's Streaming Day Pass—the combination of real-time sports alerts and micropayments could be a big winner.