Serie B matchday 38 predictions: top picks today include Avellino-Modena: Maximum 1 Goal in 1st Half, Catanzaro-Bari: Maximum 3 Goals and Cesena-Padova: At Least 1 Goal in 1st Half. For each fixture, 4 picks ranked by probability — statistical model plus editorial review by Fil — with live 1X2, Over/Under and BTTS odds, alongside a live table. 77.8% accuracy on the top pick across 388 predictions this season.
For matchday 38 of Serie B we build 3 ready-made accumulators across the analysed matches: the Easy ticket combines the most likely picks for safer odds, the Balanced ticket trades risk for return, the Hard ticket targets bigger odds with riskier selections. Updated on May 29, 2026.
More Serie B coupons?
View all ready-made accumulators for this matchday, across every risk level.
For matchday 38 of Serie B, you get 10 matches with predictions on 1X2, Over/Under and BTTS markets. Each analysis combines Fil's editorial work with the statistical algorithm. Data updated on May 29, 2026.
Each match includes 4 picks from Fil, from #1 as the safest to #4 as the riskiest, together with odds, probabilities, team form, the last 5 rounds when available and links to deeper match analysis.
Use the tool to choose the matches to add to your bet slip and immediately see total odds, number of picks and risk level. You can combine Fil's predictions with the algorithm's suggestions, add or remove picks and find the best mix between safer choices and higher odds.
Updated standings, average goals and key statistical trends for Serie B teams.
The table below is updated with points, goals scored and conceded, and the last 5 results for each team. Figures are refreshed after every completed match.
| Pos | Team | MP | Pts | Form |
|---|---|---|---|---|
| 1 | Venezia | 38 | 82 | — |
| 2 | Frosinone | 38 | 81 | — |
| 3 | Monza | 38 | 76 | — |
| 4 | Palermo | 38 | 72 | — |
| 5 | Catanzaro | 38 | 59 | — |
| 6 | Modena | 38 | 55 | — |
| 7 | Juve Stabia | 38 | 51 | — |
| 8 | Avellino | 38 | 49 | — |
| 9 | Mantova | 38 | 47 | — |
| 10 | Padova | 38 | 46 | — |
| 11 | Cesena | 38 | 46 | — |
| 12 | Carrarese | 38 | 44 | — |
| 13 | Sampdoria | 38 | 44 | — |
| 14 | Entella | 38 | 42 | — |
| 15 | Empoli | 38 | 41 | — |
| 16 | Sudtirol | 38 | 41 | — |
| 17 | Bari | 38 | 40 | — |
| 18 | Pescara | 38 | 35 | — |
| 19 | Spezia | 38 | 35 | — |
| 20 | Reggiana | 38 | 35 | — |
The statistics summarise the most relevant figures from the current season: total goals, average per match, top-scoring teams and home/away performance. A quick overview before choosing your predictions.
Here you will find the results from all previous matchdays with the outcome of each prediction. The data lets you verify the reliability of our analysis over time.
| Match | Res. | #1 | #2 | #3 | #4 |
|---|---|---|---|---|---|
| Bari - Entella | 2-0 | Un 1.5 1T | Un 3.5 | X 1T | 1X+Un 2.5 |
| Carrarese - Cesena | 0-0 | Ov 1.5 | X2 | Gol | 2 |
| Empoli - Avellino | 1-0 | 1X | Un 1.5 1T | 1 | XH (1) |
| Juve Stabia - Frosinone | 0-1 | Un 3.5 | X2 | Gol | X |
| Mantova - Monza | 3-2 | Ov 1.5 | Ov 0.5 1T | Gol | X |
| Modena - Reggiana | 2-1 | Ov 1.5 | 1X | 1 | 1H (1) |
| Padova - Pescara | 1-0 | Ov 0.5 1T | X2 | Ov 2.5 | X2+Ov 1.5 |
| Palermo - Catanzaro | 3-2 | Ov 0.5 1T | 12 | Gol | 12+Ov 2.5 |
| Sampdoria - Sudtirol | 1-0 | Un 3.5 | Un 1.5 1T | X 1T | 1 |
| Spezia - Venezia | 2-2 | X2 | Ov 0.5 1T | 2 | XH (-1) |
| Match | Res. | #1 | #2 | #3 | #4 |
|---|---|---|---|---|---|
| Bari - Entella | 2-0 | Un 1.5 1T | Un 3.5 | X 1T | 1X+Un 2.5 |
| Carrarese - Cesena | 0-0 | Ov 1.5 | X2 | Gol | 2 |
| Empoli - Avellino | 1-0 | 1X | Un 1.5 1T | 1 | XH (1) |
| Juve Stabia - Frosinone | 0-1 | Un 3.5 | X2 | Gol | X |
| Mantova - Monza | 3-2 | Ov 1.5 | Ov 0.5 1T | Gol | X |
| Modena - Reggiana | 2-1 | Ov 1.5 | 1X | 1 | 1H (1) |
| Padova - Pescara | 1-0 | Ov 0.5 1T | X2 | Ov 2.5 | X2+Ov 1.5 |
| Palermo - Catanzaro | 3-2 | Ov 0.5 1T | 12 | Gol | 12+Ov 2.5 |
| Sampdoria - Sudtirol | 1-0 | Un 3.5 | Un 1.5 1T | X 1T | 1 |
| Spezia - Venezia | 2-2 | X2 | Ov 0.5 1T | 2 | XH (-1) |
SuperPronostici.it predictions are tracked across 388 Serie B predictions: prediction #1 is correct 77.8% of the time, #2 hits 71.4%. Our algorithms cross recent form, head-to-head records, home/away performance and real-time odds movements.
You can also count on unique tools such as Ready-Made Coupons, Advanced Statistics (Over/Under, Streaks, Sequences) and the Dropping Odds system with Telegram alerts.
By the SuperPronostici.it editorial team — data-driven analysis since 2018
Unlike many sites relying on automated software, Serie B predictions are crafted by hand by Fil. Every match is reviewed individually by combining historical data, league-table motivations (promotion race, playoff zone, relegation fight), confirmed line-ups and last-minute news. This hybrid approach — numbers plus experienced eye — matters even more in Serie B, where balance is high and upsets frequent.
Odds for 1X2, Over/Under 2.5, BTTS and Double Chance markets are shown under every fixture and come from licensed Italian bookmakers (ADM). Serie B is less covered than Serie A: lines tend to be wider, especially on alternative markets. Always compare at least 2-3 bookmakers before placing a bet.
In Serie B these matter more than usual: league-table motivation (promotion-chasing vs. survival vs. mid-table sides), congested fixtures (frequent midweek rounds), home advantage (historically slightly larger than in Serie A), direct clashes in the same standings band, and in-season head-coach changes. Late-season pressure — particularly during playoffs and playouts — frequently overturns 'on-paper' forecasts.
Dedicated probable line-ups for Serie B are coming in upcoming releases. In the meantime, Fil already factors suspensions, injuries and announced rotations from official club channels and national sports outlets into the four editorial picks for each match.
An algorithm sees only numbers; Fil sees the football. This is even truer in Serie B: statistical samples are small (38 games, clubs with very different recent histories), promoted teams break the models, and the playoff/playout structure introduces dynamics that 'normal' datasets fail to capture. The expert eye weighs motivation, club context and form momentum, integrating the data rather than being driven by it.
Four typical traps: 1) overrating big-name clubs — sides relegated from Serie A are not automatic favourites in B; 2) ignoring draws — Serie B closes with notably higher draw rates than A; 3) riding the optimistic streaks of newly promoted clubs, which often pay the price after the winter break; 4) betting on the final rounds without checking achieved goals: a side already safe or already promoted plays differently.
Fil weighs dimensions invisible to data: psychological pressure on sides chasing direct promotion or trying to avoid the playout, impact of in-season head-coach changes (frequent in B), club stability (point deductions, financial issues affecting the dressing room), environment (passionate fan bases at historic clubs) and squad fitness for the typically congested Serie B calendar.
