Frequently asked questions

How predictable is Cup for betting?

The predictability panel on this page (a Pro feature) scores Cup from real closing odds settled against real results. The two inputs worth understanding: favorite win rate — the share of matches the pre-match favorite actually won — and odds accuracy, which measures how faithfully closing prices tracked outcomes across the whole season. Leagues at the predictable end are where favorites' results have tracked their prices closely; leagues at the chaotic end are where outsiders and draws have landed far more often than the market expected. Predictability also shifts with context within a season — early rounds and end-of-season dead-rubber phases are usually the least predictable stretches — so the score should be read as the league's baseline character, not a per-match guarantee.

How often does the favorite win in Cup?

The favorite win rate in the predictability panel (Pro) counts every finished Cup 2025 match and asks whether the side with the shortest closing 1X2 price won it. Across football this number typically lands between 45% and 60% — draws are why even heavy-favorite leagues stay under two-thirds — and where Cup falls in that band is the single most useful fact about it as a betting market. A high rate with a wide ELO gap (see the strength panel) is structural: a few dominant clubs beat everyone. A high rate in a tight league means the market is simply well-calibrated. The upset profile alongside it shows how often longshots land, which is the raw material for underdog strategies.

What are average winning odds and how do I read them?

Average winning odds answer a question hit rates can't: when a given outcome in Cup won, what price did it close at? For each market the table (Pro) collects only the matches where that selection settled as a winner and averages their closing odds. Read it against the hit rate: a home win landing 45% of the time at average winning odds of 2.10 meant a positive realized return at those settled prices (0.45 × 2.10 > 1), while the same hit rate at 1.70 did not. Comparing selections inside one market shows where the league's returns have historically come from — for instance whether draws in Cup have paid enough to justify their low hit rate. It's a description of settled history, not a prediction.

How often do upsets happen in Cup?

Two numbers on this page answer that together. The upset side of the predictability panel (Pro) shows how often Cup matches are won by teams the market priced as clear outsiders — the direct measure. The ELO gap in the strength panel explains the mechanism: a league whose strongest and weakest clubs sit far apart produces structurally one-sided fixtures where upsets are rare and short prices are honest, while a compressed league produces upsets by design because 'favorite' often means a 40% chance dressed in a short price. If Cup shows a low favorite win rate and a tight ELO gap, outsider 1X2 selections, draw no bet on underdogs and Asian-handicap plus-lines are the markets where settled returns have historically run highest.

How have betting markets performed historically in Cup — 1X2, over/under or BTTS?

The winning-odds table (Pro) covers every major market for Cup 2025 — 1X2, over/under goal lines, both teams to score, draw no bet, Asian handicaps, corners and cards — and shows the average settled price per selection. 'Performed best' has two halves: how often a selection wins (the hit rates live on the Stats tab) and what it paid when it won (this table). Multiplying the two exposes each market's realized return in Cup, which routinely contradicts intuition — goal markets in a high-scoring league can be so efficiently priced that the boring 1X2 favorite quietly showed the stronger settled return. The per-team selector runs the same comparison for a single club, useful before assuming the same market behaves the same way for every club.

How strong is Cup compared to other leagues?

The strength panel assigns Cup an importance tier on a global scale — Tier 5 is the elite group containing the top-5 European leagues and major international competitions, and each step down marks a broad drop in playing quality and market liquidity. The strength coefficient behind the tier (Pro) is continuous, so leagues inside the same tier can still be meaningfully apart. For betting, strength matters mostly through its side effects: stronger leagues carry sharper, more liquid markets where prices track outcomes closely, while weaker leagues have softer prices but thinner data. The ELO gap alongside the tier tells you whether the league's quality is concentrated in a few clubs or spread evenly — two very different market environments inside the same tier.