Serie B: Predictions, Odds & Tips
Läs på svenskaModel-based predictions for Serie B — Italy's second tier: 20 teams, 38 rounds and a brutal promotion race, analysed by the same match model that powers PlaymakerAI. Ahead of every round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines, built from hundreds of data points per team: strength, form, playing style, squad and weather.
The predictions are held against live odds from multiple bookmakers, with positive expected value (EV+) flagged where the model’s probability beats the implied odds. Played matches are graded openly — hit or miss — and everything updates continuously until kickoff.
Upcoming matches
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League table2025/26
New season with no matches played yet — the table shows the most recently completed season until the rounds get going.
| Pos | Team | S | W–D–L | GF–GA | P | xP | xG | xGA | xGD | FT | Style |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 42 | 24–11–7 | 67–37 | 83 | 69,0 | 67,2 | 42,8 | +24,4 | 59 % | Possession & high press | |
| 2 | 38 | 24–10–4 | 77–31 | 82 | 58,5 | 71,8 | 41,4 | +30,4 | 72 % | Possession & high press | |
| 3 | 38 | 23–12–3 | 76–34 | 81 | 64,0 | 72,2 | 51,7 | +20,5 | 52 % | Counter-attacks & crosses | |
| 4 | 40 | 21–12–7 | 63–36 | 75 | 67,1 | 67,2 | 43,6 | +23,6 | 50 % | Counter-attacks & crosses | |
| 5 | 43 | 18–14–11 | 70–55 | 68 | 57,4 | 55,0 | 57,6 | −2,6 | 48 % | Counter-attacks & crosses | |
| 6 | 39 | 15–10–14 | 49–37 | 55 | 63,7 | 65,5 | 43,7 | +21,8 | 57 % | Possession control | |
| 7 | 41 | 12–19–10 | 48–49 | 55 | 57,8 | 54,5 | 50,0 | +4,5 | 46 % | Possession control | |
| 8 | 39 | 13–10–16 | 43–58 | 49 | 42,5 | 39,8 | 63,2 | −23,4 | 47 % | Possession control | |
| 9 | 38 | 12–10–16 | 39–49 | 46 | 40,7 | 41,0 | 67,3 | −26,3 | 42 % | Low block & direct | |
| 10 | 38 | 12–10–16 | 45–56 | 46 | 56,0 | 60,0 | 50,2 | +9,8 | 50 % | Balanced & physical | |
| 11 | 38 | 13–7–18 | 45–57 | 46 | 46,4 | 48,6 | 55,5 | −6,9 | 60 % | Possession & high press | |
| 12 | 38 | 10–14–14 | 47–52 | 44 | 51,4 | 50,9 | 54,3 | −3,4 | 51 % | Possession control | |
| 13 | 38 | 11–11–16 | 35–48 | 44 | 48,4 | 43,3 | 45,6 | −2,3 | 53 % | Possession control | |
| 14 | 40 | 8–19–13 | 38–48 | 43 | 57,8 | 51,2 | 49,2 | +2,0 | 50 % | Low block & direct | |
| 15 | 38 | 10–12–16 | 36–51 | 42 | 55,5 | 54,3 | 52,1 | +2,2 | 48 % | Counter-attacks & crosses | |
| 16 | 40 | 10–12–18 | 38–60 | 42 | 46,0 | 43,6 | 67,2 | −23,6 | 37 % | Low block & direct | |
| 17 | 38 | 9–14–15 | 47–54 | 41 | 51,0 | 53,2 | 56,2 | −3,0 | 43 % | Possession control | |
| 18 | 38 | 9–10–19 | 36–56 | 37 | 49,4 | 40,3 | 60,0 | −19,7 | 35 % | Low block & direct | |
| 19 | 38 | 7–14–17 | 51–66 | 35 | 42,9 | 46,4 | 65,0 | −18,6 | 50 % | Possession control | |
| 20 | 38 | 8–11–19 | 43–59 | 35 | 47,0 | 50,2 | 60,0 | −9,8 | 44 % | Counter-attacks & crosses |
Latest articles
All articles
2026-06-08 · 1 min
Scouting Report: Fares Ghedjemis (Frosinone)
Fares Ghedjemis, 24-year-old offensive midfielder at Frosinone, has impressed greatly in Serie B with 0.45 goals per match and strong creative ability that significantly exceeds the league average. Despite defensive shortcomings, he is assessed as a strong purchase candidate who is ready for play in higher leagues thanks to his goal production and ideal development age.

2026-04-03 · 2 min
Scouting Report: Issa Doumbia (Venezia)
Issa Doumbia, 23-year-old midfielder at Venezia, has impressed in Serie B with strong offensive production (0.21 goals per match) and efficient ball progression (59 meters progressive ball carries per match), which significantly exceeds the league average. Despite weaknesses in direct duels (37% win percentage) and limitations in passing play, his versatility as a "Worker" and high PlaymakerRank (4.0) make him an attractive transfer opportunity for clubs seeking a complete midfielder.
Played matches
Prediction track recordNo settled matches yet for this selection — the scorecard fills in after every played round.
How the predictions work
Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.
For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.
Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.