EuroMillions analytics — 5 main numbers, 2 Lucky Stars, and the truth about the odds.
Historical draw analysis, frequency charts, sum meters, and coverage wheels for EuroMillions. Compare jackpot odds against UK Lotto, run honest backtests, and see how any strategy would have performed across every real draw since the game's launch.
Frequently asked
What are the actual EuroMillions odds?
Match 5 + 2 Lucky Stars (jackpot): 1 in 139,838,160. Match 5 + 1: 1 in 6,991,908. Match 5: 1 in 3,107,515. Match 4 + 2: 1 in 621,503. The 5+2 format's dual-pool structure is what gives EuroMillions the highest jackpot ceiling in Europe — and the longest odds of any major European lottery.
EuroMillions or UK Lotto — which has better odds?
UK Lotto has better jackpot odds (1 in 45 million vs. 1 in 139 million for EuroMillions). But EuroMillions has larger jackpot pools because it aggregates across nine countries. Which is 'better' depends on whether you care about win probability (UK Lotto) or maximum jackpot size (EuroMillions). Lotto Oracle shows both side-by-side.
Does the Lucky Star behave differently from the main pool?
Statistically no — both pools are independent uniform random draws. But because you need BOTH Lucky Stars to hit the top tier, and there are only 12 possibilities per star, the Lucky Star pool creates a probability bottleneck. Coverage wheels have to account for this bottleneck differently than a single-pool game like UK Lotto.
Can I backtest a EuroMillions strategy for free?
Yes — the Free tier supports EuroMillions backtesting against the last 12 months of draws. Pro Researcher unlocks the full history back to launch (2004), which is where most statistical patterns get their sample size credibility.
Are historical Lucky Star frequencies useful?
For entertainment or storytelling, yes — some stars have appeared markedly more than others across ~2,000 draws. For predictive edge, no — the pool is redrawn independently every time. Lotto Oracle shows the data honestly and explains the math so you can play informed, not fooled.