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League intelligence

Serie A

A no-vig Serie A market, an independent model, and best collected prices.

This hub strips the bookmaker margin from a complete Serie A reference market to show a no-vig market probability, then sets it beside a separate, independent statistical model. Each fixture also carries the best price we have collected, tagged with the venue and the time it was seen, so you can gauge how current it is. Where model and market disagree, the built-in analyst walks through the numbers and the uncertainty behind them — a gap to investigate, not a signal to follow.

On the board

Recent results

Current value

  1. Fiorentina

    Match result+6.7pp differencecombined

    3.80 at FanDuel

    combined fair 3.0329 books priced this outcomeno 24h reference

    combined estimate 33%model 47% · market 28% (model vs market +19.2pp)

    estimate 33% · price implies 26% · +25.4% expected return if the estimate is right

    Combined estimate puts Fiorentina at 33%; best collected price 3.80 at fanduel implies 26% — a +6.7pp calculated difference, not a guaranteed edge.

    priced

  2. Both teams to score — Yes

    Both teams to score+2.9pp differencecombined

    2.12 at LiveScore Bet

    combined fair 2.008 books priced this outcomeno 24h reference

    combined estimate 50%model 56% · market 47% (model vs market +9.7pp)

    estimate 50% · price implies 47% · +6.2% expected return if the estimate is right

    Combined estimate puts Both teams to score — Yes at 50%; best collected price 2.12 at livescorebet implies 47% — a +2.9pp calculated difference, not a guaranteed edge.

    priced

  3. Genoa

    Match result+4.8pp differencecombined

    11.50 at Betsson

    combined fair 7.4229 books priced this outcomeno 24h reference

    combined estimate 13%model 23% · market 10% (model vs market +12.2pp)

    estimate 13% · price implies 9% · +55.0% expected return if the estimate is right

    Combined estimate puts Genoa at 13%; best collected price 11.50 at betsson implies 9% — a +4.8pp calculated difference, not a guaranteed edge.

    priced

  4. Cagliari

    Match result+3.6pp differencecombined

    7.00 at FanDuel

    combined fair 5.6041 books priced this outcomeno 24h reference

    combined estimate 18%model 27% · market 15% (model vs market +11.8pp)

    estimate 18% · price implies 14% · +24.9% expected return if the estimate is right

    Combined estimate puts Cagliari at 18%; best collected price 7.00 at fanduel implies 14% — a +3.6pp calculated difference, not a guaranteed edge.

    priced

  5. Over 2.5

    Totals+2.0pp differencecombined

    2.13 at Bovada

    combined fair 2.047 books priced this outcomeno 24h reference

    combined estimate 49%model 54% · market 47% (model vs market +6.8pp)

    estimate 49% · price implies 47% · +4.3% expected return if the estimate is right

    Combined estimate puts Over 2.5 at 49%; best collected price 2.13 at bovada implies 47% — a +2.0pp calculated difference, not a guaranteed edge.

    priced

  6. Atalanta BC

    Match result+2.7pp differencecombined

    4.35 at Unibet

    combined fair 3.9029 books priced this outcomeno 24h reference

    combined estimate 26%model 34% · market 23% (model vs market +11.4pp)

    estimate 26% · price implies 23% · +11.6% expected return if the estimate is right

    Combined estimate puts Atalanta BC at 26%; best collected price 4.35 at unibet_nl implies 23% — a +2.7pp calculated difference, not a guaranteed edge.

    priced

A difference between the model and the market is something to investigate, not a guaranteed edge. Check the venue price and timestamp before acting.

What to know about Serie A markets

Around 2.8 goals a game

Serie A is often associated with tactical, defensively disciplined football, and it averages roughly 2.8 goals per match across the competition. That average sits just above the standard over/under 2.5 line, exactly where small differences between the model and the no-vig market are worth a closer look.

Distinct tiers across the table

A familiar order tends to form each season — a group chasing the title and Champions League places, a congested midtable, and a relegation battle at the foot. Matches between mismatched tiers price very differently from those between close rivals, and the model reads each context on its own terms.

Deep prices, but check timestamps

As a widely traded major league, Serie A generally has deep, liquid reference markets, yet individual venues still differ and lines drift as team news arrives. Every collected price here shows where and when it was seen, so you can judge how current it is before acting.

Best price ran 6.48% above average

Across 2,478 completed Serie A matches with a full closing price set, the best surveyed price was 6.48% higher than the market average for the same outcome (measured 11 August 2026). That is a property of the market, not a record of returns: the best price is an upper bound taken across every surveyed book, including ones that limit winning accounts and quotes that were never simultaneously obtainable. Clauseground does not currently claim a proven historical edge.

Serie A questions

How does the model treat Serie A totals?

The model generates its own probability for each total independently, and that figure is shown next to the no-vig market probability for the same line. With Serie A averaging around 2.8 goals per match, the standard 2.5 line sits close to the competition's typical scoring, so it tends to draw the most attention. A visible gap between the two figures is a prompt to read the analyst's explanation and the stated uncertainty, not evidence that the model is correct.

Are Serie A favourites priced efficiently?

Serie A is heavily traded, so its no-vig reference market is usually a sober baseline that Clauseground does not claim to beat. The model appears alongside it as a second, independent opinion rather than a verdict. Where the two disagree on a short-priced favourite, the reasonable step is to investigate why, and choosing not to bet is a perfectly valid outcome.

What does a model-versus-market gap mean?

It means the independent model and the margin-free market currently disagree about a Serie A outcome, and nothing more than that. The difference might reflect something the model cannot see, such as late team news, or a genuine divergence of view worth examining. Treat it as a starting point for your own research; outcomes stay uncertain, and this is decision-support, not a tip.

Clauseground is decision support, not tips. It shows the market view, an independent model view, and the available price with its source and timestamp — so you can judge Serie A prices for yourself. Read the methodology, the public performance framework and what line shopping is worth, or browse all leagues.

Decision support, not betting advice. No guaranteed outcomes. 18+/21+ where applicable. Gamble responsibly.