AGA study finds gamblers score higher in financial literacy — but read the small print

Five questions. Inflation eating into savings, how compound interest builds, whether one stock is safer than a fund, what happens to bond prices when rates move, how a shorter mortgage changes total interest. That’s the “Big Five” index, the same short test economists have used for years to separate people who understand money from people who think they do. Hand it to a room of sports bettors and a room of people who never gamble, and the bettors win — comfortably.

That’s the headline of the new research the American Gaming Association put its name to, and it’s genuinely interesting. But if you stop at the headline, you miss the part of the report that should actually change how you think about your own betting: knowing what a bond is doesn’t make you good at arithmetic, and feeling good at arithmetic doesn’t make you good at it either.

What the AGA study finds: gamblers score 3.93, non-gamblers 3.72

The report, “Playing the Numbers: Financial Literacy and Numeracy in Gamblers and Non-Gamblers,” was prepared by Colin López of IN Research & Analytics LLC and Jackson Sears of Matrix Consulting Group of North Carolina for the American Gaming Association.

On the Big Five, gamblers averaged 3.93 out of 5 against 3.72 for non-gamblers, and the difference was statistically significant. The starker number is the tail: 41% of gamblers qualified as highly financially literate, compared with 27% of non-gamblers. Across the full sample the mean was 3.88, with 36% scoring high, 34.8% moderate and 29.2% low.

“This study shows that, contrary to popular belief, gamblers are financially savvy entertainment consumers – especially sports bettors who demonstrate a particularly high level of financial literacy and mathematical capability,” said David Forman, the AGA’s Vice President of Research.

He’s right about sports bettors specifically. They led every segment at 4.18, with prediction market users next at 4.05, then casino gamblers at 3.84, iGamers at 3.75 and non-gamblers at 3.72. Sports bettors and prediction market users both scored significantly above non-gamblers, casino gamblers and iGamers — but not significantly above each other.

The scores side by side

Three different instruments, three different things measured: financial concepts (Big Five, out of 5), tested math ability (the 11-question Lipkus Numeracy Scale), and self-rated math ability (the Subjective Numeracy Scale, out of 6).

Look down that third column again

Gamblers averaged 9.27 on tested numeracy. Non-gamblers averaged 9.28. That’s a tie, and it quietly deflates the broader claim that people who gamble are better with numbers. What the data supports is narrower: gamblers as a group know more about financial products and concepts, and one segment — sports bettors, at 9.56 — actually did test significantly better at math than everyone else.

Meanwhile the self-rating column moves in one direction only. Gamblers rated themselves 4.61 against 4.36 for non-gamblers, a significant gap. So gambling correlates with confidence in your own numeracy far more reliably than it correlates with numeracy.

Nowhere is that clearer than in prediction markets. Those users rated themselves 4.66, effectively level with sports bettors’ 4.75. On the actual test they landed at 9.30 — within a rounding error of the non-gamblers they presumably think of as less numerate than themselves. High financial literacy, ordinary math, top-tier self-belief.

Why the AGA bothered to commission this

Two reasons, and they pull in opposite directions, which is part of what makes the report worth reading.

The first is reputational. The lazy caricature of the gambler as someone who can’t count and doesn’t understand money has shaped a lot of policy debate. A commissioned study showing 41% of gamblers in the high-literacy band, versus 27% of non-gamblers, is a useful piece of lobbying material and the AGA knows it. Treat it as such — industry-funded research isn’t automatically wrong, but it is written by people who wanted a particular question answered.

The second reason is a shot across the bow at prediction markets. The AGA’s reading is that the results flag a risk when gambling is dressed up as a financial investment. The confidence-versus-ability gap in that segment is the evidence for it. If a product uses the language of trading — positions, contracts, portfolios, edge — users may assume they’re deploying analytical skill they haven’t demonstrated. The framing changes how the bet feels without changing what the bet is.

What financial literacy actually buys you

Here’s the part a coach has to be blunt about. Understanding inflation, diversification and mortgage amortisation is excellent for your life. It does nothing to the house edge.

A slot with 96% RTP returns roughly 96 units per 100 wagered over millions of spins, which is another way of saying the operator keeps about 4%. European roulette keeps 2.7% of every wager over the long run whether you can define a bond yield or not. Sportsbook prices carry a margin baked into the overround, so a market priced at 1.90 on both sides implies probabilities summing to more than 100%. Those numbers are structural. No amount of numeracy makes expected value positive, and scoring 5 out of 5 on the Big Five doesn’t stop a random number generator from producing an independent outcome on the next spin.

Where literacy does help is in the decisions around the game rather than inside it. Reading a 30× wagering requirement on a ₹1,000 bonus and recognising that it means ₹30,000 must be staked. Noticing the max-cashout cap and the game weighting that slows clearance. Spotting that a sticky bonus can’t be withdrawn. Understanding that a high-volatility slot has the same RTP as a low-volatility one and only distributes it differently. Those are literacy problems, and this study suggests a decent share of players are equipped for them.

How to use this if you bet

Three practical reads come out of the data.

• Don’t confuse confidence with edge. The single cleanest finding in the report is that gamblers rate their math higher than non-gamblers while testing the same. If your stake sizing is built on a private sense of being sharper than the market, that’s the exact feeling the numbers say to distrust.
• Be suspicious of investment framing. Prediction market interfaces borrow their vocabulary from brokerages. The vocabulary doesn’t come with a broker’s regulatory protections or a positive expected return.
• Put your literacy to work on terms, not systems. Bonus conditions, payout timelines, KYC requirements and game weighting are readable and comparable. Outcomes aren’t predictable, and any “system” that claims otherwise is selling you variance as skill.

Correlation is also worth naming plainly: this is a snapshot comparing groups, not proof that betting teaches you finance. Higher-literacy, higher-income, more numerically confident people may simply be more likely to bet in the first place, particularly on sports. The report tells you who is in the room. It doesn’t tell you the room made them that way.

Whatever your score would be on those five questions, treat gambling as paid entertainment with a known cost rather than a financial strategy, set deposit and loss limits before you play, and use cool-off or self-exclusion tools if it stops feeling like a choice. Financial literacy is a good thing to have. It isn’t a hedge.