Calling something “skill-based” doesn’t automatically exempt it from gambling law, it just changes which legal test gets applied. The stakes are real as the US skill-gaming market was valued at $46.39 billion in 2025, and it’s forecast to reach $121.57 billion by 2034. Here’s how the actual legal analysis works, using a real, current example.
Gambling law generally requires three things to be present at the same time. There must be a prize, consideration (an entry fee or a wager), and chance as the driving factor in the outcome.
Skill-based games satisfy the first two without much argument; the entire legal fight is over that third element. Remove chance as the dominant factor, and most gambling statutes simply don’t apply.
That’s the whole issue, legally speaking and it’s why the specific test a state uses to measure “how much chance” matters enormously.
US states use three genuinely different approaches to make that determination:
The Predominant Factor Test
Used by more than 30 states, including California, Illinois, Michigan, Ohio, and Pennsylvania, this test asks whether skill accounts for more than half of what determines the outcome.
This is the most permissive standard. If skill predominates, even a real chance element doesn’t make the game illegal gambling.
The Material Element Test
Used by New York, among others, this test is stricter. Even if skill technically predominates, the game can still count as gambling if chance plays a “material,” or non-trivial, role in the outcome. Skill being an equal or larger factor isn’t enough. Chance has to be genuinely minor.
The “Any Chance” Test
Used by a small number of states, this is the strictest test of all. If chance influences the outcome in any way, the game is gambling, full stop, regardless of how much skill is also involved.
Florida, is an exception, that doesn’t play by these rules at all. Rather than applying one of the three tests above, Florida prohibits wagering on skill games by statute, alongside games of chance. This means that wagering on any game even if it is totally skill based is illegal.
This legal uncertainty has real, practical consequences beyond courtrooms, too. Google Play reportedly still bans all skill-based real-money games from its platform entirely, leaving Apple’s App Store as the only major native distribution option for this entire product category. This is a concrete sign of how seriously platforms themselves treat the ambiguity, independent of what any individual state ultimately decides.
Poker is usually treated as the clean, uncontroversial example of a genuine skill game. But applying the predominant factor test, the North Carolina Supreme Court ruled that poker was actually predominately a game of chance, reasoning that “a skilled player may give himself a statistical advantage but is always subject to defeat at the turn of a card, an instrumentality beyond his control.”
Skill matters over a long run of hands. In any single hand, which is what the court was evaluating, it doesn’t reliably override the cards you’re dealt.

This ruling matters beyond poker specifically. It shows that “skill clearly predominates” is a genuinely contestable legal claim, not a settled fact, even for the game most confidently described as skill-based.
In June 2026, the Pennsylvania Supreme Court ruled that “skill games” are subject to the same regulatory framework as casino slot machines, ending what one industry outlet described as “years of operation in a legal gray area.”. These are slot-machine-style terminals that had become common fixtures in bars, convenience stores, and gas stations across the state, mostly made by a company called Pace-O-Matic.
These machines present a puzzle on a 3×3 grid, styled like Tic-Tac-Toe. You spin a virtual reel, then get to make one skill-based decision.
Select a single symbol to turn “wild,” potentially completing a winning line that wouldn’t otherwise exist.
Losing puzzles offer a bonus round called “Follow Me,” where correctly recreating a color sequence across 20 rounds can win back the original wager.
That’s a genuine decision point, but one detailed account estimates the actual skill contribution to outcomes at only around 3%, with the underlying randomly generated reel spin still doing most of the work.
Manufacturers weren’t required to disclose payout percentages the way regulated slot machines are, a real practical consequence of sitting outside gambling classification.

The court granted a 120-day stay before enforcement takes effect, but the underlying ruling is clear.
A genuine skill decision, layered on top of an outcome still substantially determined by randomness, wasn’t enough to exempt these machines from slot-machine regulation.
The American Gaming Association’s own 2026 industry report confirms that “policymakers and courts in Missouri, Pennsylvania and Virginia also addressed the issue of unregulated devices offering unlicensed gaming under the guise of ‘skill games’ during the same period, but Missouri’s version of this fight used a genuinely different legal theory than Pennsylvania’s.
Missouri’s machines, marketed as “No Chance Games” by an operator called Torch Electronics, weren’t arguing that skill offset chance, they were arguing chance wasn’t present at all.
A “Prize Viewer” button let players see the outcome before finalizing that specific play, win or lose, and choose whether to lock it in.
The theory is if you already know the result before committing money, there’s no genuine uncertainty being wagered on, so the transaction doesn’t meet the legal definition of gambling in the first place.
In practice, though, the mechanism worked exactly like an ordinary slot machine, just with an extra step.
Declining a bad result didn’t mean a free do-over, it meant paying again to see the next one.
The actual player experience was see a loss, pay again hoping for a win, and repeat.
It’s the same underlying pattern of chasing a payout through repeated paid attempts as any conventional slot machine, just with the outcome shown before each specific commitment rather than after.
A federal judge rejected the “no chance” theory in February 2026, ruling the machines were illegal gambling devices, and noted that courts in other jurisdictions, including a nearly identical July 2025 Tennessee ruling against the same company, had already rejected it.
That Tennessee panel’s reasoning was direct.
Regardless of the internal programming, the machines still functioned and appeared fundamentally like slot machines, and previewing a result before paying didn’t change the substance of what was actually happening.
One industry lawyer pointed out the argument wasn’t even new. Courts have reportedly rejected pre-reveal mechanics as a workaround for over a century.
So Pennsylvania and Missouri arrived at similar outcomes through different legal arguments.
The throughline connecting these legal battles is the same.
Whether calling something “skill-based” (or, in Missouri’s case, “no chance”) actually changes its legal status, or whether courts look past the label to the underlying mechanics.
Right now, in multiple states, using multiple different legal theories, the answer has consistently been no.
Daily fantasy sports operators made exactly this argument a decade ago. This isn’t gambling, it’s a skill-based contest. The actual shape of that argument is a close parallel to the Kalshi prediction market fight happening right now.
DFS’s skill claim was specific. It’s based on a salary-cap roster draft. Players assemble a virtual team drawn from real athletes across multiple games, constrained by a fixed budget where each athlete costs more or less based on expected performance.
The skill argument was that researching:
…to build the most efficient roster within that budget consistently separates better players from worse ones.
This is the same basic logic Kalshi and Polymarket make about analyzing public information to price event contracts more accurately than less-informed traders.

New York’s counter-argument, when it initially ruled against DFS, was just as specific. The Appellate Division found DFS involved chance “in a material degree” because outcomes still depend on things no contestant controls, including:
That’s structurally the same reasoning the North Carolina Supreme Court used against poker. Skill can shift your odds, but it doesn’t eliminate the role of events outside your control.
New York’s Court of Appeals eventually reversed that finding in 2022, adopting the more permissive predominant purpose test and relying specifically on statistical studies showing skilled DFS players consistently outperform less skilled ones over time.
They treated that consistency itself as evidence skill was the dominant factor, even though no single contest’s outcome was fully within a player’s control.
That’s precisely the dynamic playing out right now with Kalshi and prediction markets, covered in depth on this site.
The same underlying question (is this skill/analysis or is this gambling), the same basic legal tests being argued, and the same pattern of rapid growth followed by state-by-state legal challenges.
The parallel goes deeper.
Kalshi’s core defense, that traders are pricing contracts based on genuine analysis of available information, not gambling on a random outcome, is functionally the same claim DFS operators made about roster construction, just applied to financial-style contracts instead of fantasy sports rosters.
The Pennsylvania skill-games ruling is a useful contrast point here, because the underlying structural problem for those machines —a real skill decision layered on top of an outcome still substantially driven by randomness—isn’t universal to every skill-based design.
Some platforms have taken a genuinely different structural approach, building head-to-head formats where both players face identical conditions, such as:
The winner is determined by who makes better decisions given that shared setup, not by who got a better random draw than their opponent.

Jackpotter’s P2P Games with formats like Blocks, P2P Blackjack, and Skill-Based Solitaire, are a real, currently operating example of this design.
Any platform with this same structural approach would face the identical legal analysis below.
It’s a genuinely smart structure from a legal-risk standpoint.
If both players are working from the exact same randomly generated conditions, the difference in outcome between them should, in principle, come entirely from skill.
The random element is held constant, not varied between competitors the way it would be in ordinary chance-based gambling.
This is the question worth asking, and it’s not fully settled by that design alone: Does neutralizing chance between players fully eliminate chance from the legal analysis, or does the initial random draw itself still count as a chance element under a stricter test?
The specific deck order or puzzle layout is still generated randomly. It’s just applied equally.
Under a material element test specifically, a regulator could plausibly argue that chance still meaningfully shapes the outcome space itself. Some random layouts might reward skill far more than others, even though no single player benefits from better luck than their opponent.
Under the more permissive predominant factor test, this distinction likely doesn’t matter much.
Under a material element test, it’s a genuinely closer call than the “identical conditions” framing might suggest.
Sharing identical random conditions is a real, meaningful way to reduce the role of luck compared to ordinary gambling.
It’s worth understanding as exactly what it is:
That question applies to this design pattern generally, wherever it shows up.
None of this means skill-based casino games are illegal, or that this specific design pattern has been legally challenged anywhere. It hasn’t, as far as we’ve found.
It means the “skill-based, therefore not gambling” claim is doing more legal work than the phrase suggests, and that work depends entirely on which state’s test applies and how a court weighs the specific mechanics of a given game.
The same caution that applies to Kalshi’s event contracts applies here. A product being marketed as clearly outside gambling law doesn’t mean every regulator will agree.
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