Seven Years of Waiting: US Esports Money and ROLR's Unresolved Conversion Problem

A top-tier esports match can fill an arena. But if you ask how much betting money actually flows into that arena, the answer will surprise many people.

Seth Young, CEO of ROLR — a prediction market platform for esports — has just stated that the esports betting market in the United States is "not there yet." What made me stop was not the content, but the timing. He said exactly the same thing seven years ago.

Seven years. In my line of data work, that is long enough for a hypothesis to either be confirmed or collapse entirely. There is no grey zone. So I began rebuilding the entire chain of reasoning behind that statement.

How I measure a betting market

As a data person, I approach a betting market as a conversion problem, not an emotional one. The formula is simple: take viewership as the input, take handle as the output, then calculate the conversion rate between the two.

In traditional sports, that ratio has been stable for decades. The NBA, NFL or Premier League all have enormous viewership paired with a mature betting market. Esports has comparable viewership at certain major events, but its betting market is far younger.

Seth Young is no outsider. He competed professionally in CS2 before moving into management. His platform ROLR positions itself distinctly against DraftKings, FanDuel, Fanatics and Kalshi. ROLR chose prediction markets rather than head-on competition with traditional sportsbooks.

I spent many evenings rewatching CS2 and League of Legends matches, not to enjoy them but to count. Counting how many times odds shifted within a single game. Counting how many times trading volume spiked after a clutch play. The results showed that esports market liquidity still depends on a small group of professional traders, not the general public.

One detail I recorded from my own match-watching experience: in a 40-minute CS2 game, the number of odds changes can reach into the hundreds. But most of those changes come from a small set of large orders, not from retail money. That is the signature of a thin market.

The evidence chain: spending discipline and the ROAS number

First data point: ROLR partners with Spike Up Media, a lead generation firm that is also a major shareholder. This is not a one-off transaction, but a long-term strategic alignment.

The most important number sits here. Over five years running the High Roller product, ROLR recorded consistently positive ROAS — every dollar spent on advertising returned more revenue than it cost. Notably, those results were achieved in markets the CEO himself describes as "not nearly as strong as the United States."

To verify, I cross-checked this figure against how the Southeast Asian market operates — where I live and work. In Malaysia, Vietnam or the Philippines, esports betting follows a different trajectory: younger users, smaller transactions, but higher frequency. A player in Kuala Lumpur might place dozens of orders in one evening. A player in the US might place one order for the entire week. This is a difference in consumption culture, not in market size.

If a model is profitable in a weaker market, then logically it has a foundation to work in a stronger one. But that is linear reasoning, not evidence.

I rebuilt a comparison table between the two market groups across four criteria: maturity of the legal framework, level of competition, user acquisition cost, and conversion rate from viewer to trader. The results showed that ROLR does not compete with budget, but with discipline. The CEO describes the strategy as "surgical" — spending only when ROAS is measurable.

That is the right approach from a data standpoint. But it also raises a bigger question: if the market is not there yet, spending discipline only helps the company survive, not break through.

The contrarian angle: correlation is not causation

A common industry assumption is that large viewership automatically converts into large betting money. I believe this is the classic correlation-causation error.

Esports viewers and esports bettors are not the same demographic. Viewers are younger, used to free platforms, and typically have no betting habit. Meanwhile, every US state has its own legal framework, turning product expansion into a problem with dozens of different equations.

Looking at the industry's transmission chain, the betting market sits in the middle: above it is viewership and events, below it is money flow and sponsor confidence. When the middle jams, the entire chain suffers. Teams gain no extra revenue from data licensing. Tournaments gain no extra incentive to standardise schedules. Sponsors gain no extra reason to raise budgets.

There are two things that never lie: data and time. Seven years is a long enough sample to conclude that the structural problem remains unsolved, no matter how good the product is. Seth Young's phrase "not there yet," read carefully, is not a forecast. It is an admission.

Before trusting your eyes, check what your eyes have already decided to believe. A packed arena creates the feeling that the market has matured. But a feeling is not data.

ROLR's problem is not the product. It is the timing. A company can be right on strategy but wrong on pace, and in the betting industry, pace is everything.

Signals for the next cycle

What I am tracking is not the CEO's statements, but three specific signals.

First, quarterly fluctuations in US esports trading volume. If growth holds above 20% across several consecutive quarters, the market is maturing faster than forecast and ROLR is in the right position.

Second, regulatory moves in major states such as New York, California and Florida. Legalising esports betting in any of those three states would open an entirely new addressable market, while forcing giants like DraftKings to respond.

Third, ROLR's user acquisition cost. If it crosses a 30% increase, the model will come under pressure and the ROAS equation will need to be recalculated from scratch.

ROLR is not trying to win the whole pie. It just wants its share, and it accepts waiting. But in a market that is not yet ripe, the real question is not who is more patient — it is who has enough data to know when to stop waiting.