World Cup 2026 is the biggest betting event of the decade. Forty-eight teams, 104 matches, and a tournament format that creates more value windows than any other sporting event on the calendar. The problem is that most sports bettors who are comfortable with the NBA or MLB find themselves guessing when it comes to soccer lines. Too many teams, too many unknowns, and too little data to separate a real opportunity from a coin flip.
That is exactly where AI-powered predictions change the picture.
This is the first World Cup with the expanded 48-team format, meaning 64 more matches than previous tournaments. More matches means more data, more line movement, and more situations where the market gets things wrong. The expanded group stage runs from June 11 through June 27, giving bettors a two-week window of daily action before knockout rounds even begin.
The volume of matches is both the challenge and the opportunity. Sportsbooks set opening lines based on aggregate public opinion and historical data. But with 48 teams across 16 groups, the market's ability to price every match accurately drops significantly, especially for lower-profile group stage games. That's where data-driven approaches earn their keep.
France enters as the overall favorite, trading at roughly 18% implied probability to win the tournament. Spain sits just behind at around 17%, followed by England at 11% and Brazil at 9%. Argentina, the defending champions, round out the top five.
What stands out about this distribution is how tightly the top is clustered. In most World Cups, one or two teams dominate the outright market. Right now, the gap between the top favorite (France) and the fourth-place team (Brazil) is only nine percentage points. That compresses outright betting value considerably but opens up a lot of interesting opportunities at the group stage and round-of-16 level, where individual match lines carry more variance.
Spain's recent form makes them worth noting. They arrive as the reigning Euro 2024 champions with arguably the most complete squad in the tournament. France's depth is unmatched but relies more heavily on individual brilliance than system-driven play. England's improvement under their current setup makes 11% feel undervalued relative to their roster quality heading into a home-continent tournament.
Outright winner betting gets most of the public attention, but the group stage is where the most mispriced lines live. Sportsbooks build initial lines on reputation and seedings. Teams that overperform relative to public perception, or unfamiliar squads from lesser-followed confederations, tend to carry better value precisely because the market is priced around name recognition rather than current form.
With 48 group stage games between June 11 and June 27, many matchups will feature teams that casual bettors know little about. That knowledge gap is where public money piles onto the recognizable name, inflating lines on the opposition. The models identify this pattern across historical tournament data. When a team carries heavy public recognition but faces a squad with strong underlying performance metrics, that divergence is the kind of signal that produces long-run betting value.
Portugal carries value at current odds given their squad depth and a potentially final tournament appearance for their all-time leading scorer. Germany, despite going through a rebuilding phase, has the system and roster depth to make a deep run. The Netherlands have quietly assembled a tactically strong squad that is built to grind results in knockout football.
Among less-discussed teams, Morocco deserves serious attention. Their 2022 run to the semifinals showed this team can hold defensive shape and produce results against top opposition. Their current odds represent exactly the kind of value the models look for: strong underlying performance, underrepresented by public perception, and priced too generously by the market heading into the tournament.
The difference between guessing and making data-backed World Cup bets is the same difference that exists in every other sport: pattern recognition across large data sets. The models look for spots where the sportsbook line and historical performance data diverge. In soccer, that means analyzing recent form across qualifiers and international friendlies, head-to-head records, defensive structure, goals allowed rates, and how teams perform in high-pressure single-elimination environments.
World Cup betting also introduces the factor of motivation. Group stage dynamics create situations where a team that has already clinched qualification has little incentive to push in their final group match. These are exactly the types of scenarios the models are built to identify and flag before you place your bet.
For the World Cup beta, Rithmm's predictions cover 3-Way Moneyline and Totals bets. That means you get model-backed picks on match outcomes (Win, Draw, or Loss) and Over/Under totals across every group stage and knockout round game. These are the two most accessible bet types for the tournament, and the ones where the most market inefficiencies tend to show up.
Rithmm is targeting a June 1 release for the World Cup beta, giving everyday sports bettors access to AI-powered predictions for the 2026 tournament before the first match kicks off on June 11. The beta brings the same approach Rithmm's models apply to NBA and MLB games to every World Cup match, giving you a smarter starting point across all 104 games in the tournament.
If you have been betting the NBA or MLB with Rithmm, the World Cup beta brings that same clarity to soccer. And if this is your first time, there is no better moment to start than the biggest sporting event on the planet. Download the app and get early access to World Cup predictions before the group stage begins.
