Serie A matchday 38 predictions: top picks today include Fiorentina-Atalanta: At Least 2 Goals, Bologna-Inter: At Least 2 Goals and Lazio-Pisa: 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. 72.3% accuracy on the top pick across 375 predictions this season.
For matchday 38 of Serie A 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 25, 2026.
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For matchday 38 of Serie A, 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 25, 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 A 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 | Inter | 38 | 87 | — |
| 2 | Napoli | 38 | 76 | — |
| 3 | Roma | 38 | 73 | — |
| 4 | Como | 38 | 71 | — |
| 5 | Milan | 38 | 70 | — |
| 6 | Juventus | 38 | 69 | — |
| 7 | Atalanta | 38 | 59 | — |
| 8 | Bologna | 38 | 56 | — |
| 9 | Lazio | 38 | 54 | — |
| 10 | Udinese | 38 | 50 | — |
| 11 | Sassuolo | 38 | 49 | — |
| 12 | Torino | 38 | 45 | — |
| 13 | Parma | 38 | 45 | — |
| 14 | Cagliari | 38 | 43 | — |
| 15 | Fiorentina | 38 | 42 | — |
| 16 | Genoa | 38 | 41 | — |
| 17 | Lecce | 38 | 38 | — |
| 18 | Cremonese | 38 | 34 | — |
| 19 | H. Verona | 38 | 21 | — |
| 20 | Pisa | 38 | 18 | — |
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 |
|---|---|---|---|---|---|
| Como - Parma | 1-0 | Ov 0.5 1T | 1 | 1 1T | XH (1) |
| Genoa - Milan | 1-2 | X2 | Ov 0.5 1T | Gol | 2 |
| Juventus - Fiorentina | 0-2 | 1 | Un 1.5 1T | X 1T | 1H (1) |
| Pisa - Napoli | 0-3 | Ov 1.5 | 2 | 2 1T | XH (-1) |
| Roma - Lazio | 2-0 | 1X | Ov 0.5 1T | 1 | XH (1) |
| Inter - H. Verona | 1-1 | 1 | Ov 0.5 1T | Ov 1.5 1T | Ov 3.5 |
| Atalanta - Bologna | 0-1 | Ov 1.5 | Ov 0.5 1T | Gol | X |
| Cagliari - Torino | 2-1 | Ov 1.5 | X2 | Gol | X2+Ov 2.5 |
| Sassuolo - Lecce | 2-3 | 1X | Un 1.5 1T | Gol | X |
| Udinese - Cremonese | 0-1 | 1X | Ov 0.5 1T | 1 | XH (1) |
| Match | Res. | #1 | #2 | #3 | #4 |
|---|---|---|---|---|---|
| Como - Parma | 1-0 | Ov 0.5 1T | 1 | 1 1T | XH (1) |
| Genoa - Milan | 1-2 | X2 | Ov 0.5 1T | Gol | 2 |
| Juventus - Fiorentina | 0-2 | 1 | Un 1.5 1T | X 1T | 1H (1) |
| Pisa - Napoli | 0-3 | Ov 1.5 | 2 | 2 1T | XH (-1) |
| Roma - Lazio | 2-0 | 1X | Ov 0.5 1T | 1 | XH (1) |
| Inter - H. Verona | 1-1 | 1 | Ov 0.5 1T | Ov 1.5 1T | Ov 3.5 |
| Atalanta - Bologna | 0-1 | Ov 1.5 | Ov 0.5 1T | Gol | X |
| Cagliari - Torino | 2-1 | Ov 1.5 | X2 | Gol | X2+Ov 2.5 |
| Sassuolo - Lecce | 2-3 | 1X | Un 1.5 1T | Gol | X |
| Udinese - Cremonese | 0-1 | 1X | Ov 0.5 1T | 1 | XH (1) |
SuperPronostici.it predictions are tracked across 375 Serie A predictions: prediction #1 is correct 72.3% of the time, #2 hits 70.4%. Our algorithms cross recent form, head-to-head records, home/away performance and real-time odds movements.
The Probable Lineups section is constantly updated thanks to leading editorial sources.
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 most platforms using automated algorithms, Serie A predictions here are crafted exclusively by hand by Fil. Each match receives individual analysis combining our historical database, on-pitch tactical insights, and breaking team news. This hybrid approach—data plus expert judgment—catches opportunities pure algorithms miss consistently.
Daily odds across 1X2, Over/Under 2.5, Both Teams to Score, and double chance markets are maintained in our dedicated Series A odds section. Compare values between bookmakers, review movement history, and track line shifts. The odds area helps identify value bets and monitor market sentiment before kickoff.
Key drivers: recent form (last 5 matches), confirmed line-ups and key absences, head-to-head records, weather impact, team motivation (derbies, survival races), fixture congestion, and injury news. Sound analysis integrates defensive/offensive metrics with current tactics, squad morale, and historical patterns against each opponent.
Probable line-ups come from respected Italian sources: Gazzetta dello Sport, Sky Sport, and Fantacalcio platforms. Our dedicated section displays formations with flagged doubts, injury status, and real-time availability updates—refreshed up to 2 hours before kick-off. This ensures maximum accuracy for last-minute changes and tactical adjustments.
An algorithm reads numbers; Fil reads football. Manual review spots anomalies algorithms miss: absence of a talismanic player, a coach's tactical shift mid-season, the psychological weight of consecutive losses, or scenarios absent from historical data. This human and situational dimension proves decisive in Serie A matches.
Avoid these four traps: betting emotionally on your favourite without data; dismissing defensive/offensive statistics; stacking too many matches in one bet (each adds exponential risk); operating without a defined stop-loss. Professional bettors follow fixed, rational rules—emotion is the enemy of long-term ROI.
Fil weighs qualitative dimensions invisible to data: psychological pressure on the squad (local derbies, survival scraps), tactical adjustments a coach introduces week-to-week, impact of key injuries on team cohesion and morale. These transform raw numbers into operational signals with genuine predictive power and edge.
