Galaxy Research: 69% of Polymarket Retail Wallets Finish Below Break‑Even

Galaxy Research found that 69% of retail Polymarket wallets ended the study period below break‑even, analysing a universe of 2.9 million wallets and reporting an aggregate loss of $339 million. The on‑chain paper, published on 2 October 2026, breaks down retail behaviour on the crypto‑native prediction market platform Polymarket and highlights that sports specialists were the worst performing trader cohort.

What Galaxy Research measured on Polymarket

Galaxy Research ran an on‑chain examination of trading outcomes across Polymarket wallets, isolating what it describes as retail accounts within a total sample of 2.9 million addresses. The study's headline figures are straightforward: 69% of those retail wallets finished below break‑even and the cohort recorded $339 million in aggregate losses. The report attributes those results to the platform's participation and trading patterns rather than off‑chain activity.

The analysis separates trader types and finds a performance gap by cohort. Sports specialists underperformed other categories of traders, a detail Galaxy highlights when discussing who is subsidising the winning side of markets. The research does not claim that every loss was individual negligence; instead it frames profitability as a distributional outcome where most entrants lose while a smaller group captures winnings.

Why the Polymarket loss figures matter for markets and marketing

The $339 million headline undercuts the retail‑friendly narrative Polymarket and similar platforms use when marketing to new users. Two‑thirds of active retail wallets finishing underwater implies that broad user acquisition can function economically as a transfer from many small stakes to a concentrated set of winners.

That dynamic has two commercial consequences. First, it feeds churn: users who experience losses are likely to stop participating, or migrate off‑platform. Second, it forces marketing teams to weigh accessibility claims against the optics of mass losses. Polymarket's growth pitch emphasises low barriers to entry; Galaxy's numbers show those barriers also enable losses at scale.

Regulatory implications: how $339m changes the argument

State attorneys general already characterise prediction markets as gambling‑adjacent products that can harm consumers. Galaxy Research's loss ratio supplies empirical ammunition to those critics. The data is especially consequential for Polymarket because the platform is litigating in New York and defending its status as regulated by the Commodity Futures Trading Commission.

Polymarket's legal posture — that its markets fall under CFTC oversight rather than state gambling laws — faces fresh scrutiny when regulators can point to on‑chain loss rates as evidence of consumer harm. The report does not itself determine legal status, but it strengthens the factual case regulators and plaintiffs can use when arguing that retail users sustain net losses similar to conventional gambling products.

What this means for operators, suppliers and investors

Operators and platform suppliers will read Galaxy's paper as input to product design and risk controls. Several practical considerations follow from the findings:

• customer acquisition economics: broad, low‑friction onboarding may boost volume but increase aggregate retail losses; firms must forecast retention and lifetime value accordingly

• product design and disclosures: clearer risk warnings and educational flows could reduce misaligned expectations among novice traders

• counterparty and liquidity provision: venues that attract a small cohort of sophisticated winners depend on sufficient liquidity to settle large gains without market disruption

Investors evaluating prediction‑market businesses will want proof points that revenue models are sustainable without relying on persistent retail losses. The report makes that question explicit.

Polymarket's position and the ongoing New York litigation

Polymarket is the subject of the Galaxy Research analysis at a moment of legal contention. The platform is defending itself against a New York lawsuit while asserting that it operates under CFTC regulation. Galaxy's published figures add a fresh factual layer to that dispute because they document retail outcomes at scale. Regulators and plaintiffs can cite the 69% loss rate and the $339m aggregate deficit when arguing for consumer protections or reclassification.

Polymarket has previously argued that its markets are a form of information trading rather than pure gambling. Galaxy's study does not adjudicate that claim; it presents outcome data that will be used in policy and litigation debates.

What operators and regulators will watch next

The industry will look for three follow‑ups.

1. retention and repeat participation metrics for losing cohorts — the platform that first publishes credible retention data for losing users will influence the framing of regulatory debates;

2. breakdowns by market type and event — Galaxy has already flagged sports specialists as the weakest cohort, and more granular performance by market could change regulatory focus; and

3. whether other prediction‑market operators show similar loss distributions on‑chain.

Those datapoints matter because they help determine whether markets are primarily skill‑based trading venues or distributed gambling products that require stronger consumer safeguards.

Where this sits in the wider market conversation

The Galaxy Research study is a rare on‑chain attempt to quantify retail outcomes on a crypto prediction market. It provides hard numbers that both industry participants and regulators can cite. For Polymarket, the timing is awkward: the platform faces litigation in New York and must simultaneously defend a narrative that its markets are information markets regulated by the Commodity Futures Trading Commission. The aggregate $339 million loss and the 69% underwater rate change the empirical baseline of that defence.

Operators, vendors and compliance teams now face practical choices about disclosure, onboarding friction and product architecture. Those decisions will shape whether regulators treat these venues as trading platforms or as consumer gambling products.