2026-27 projections
Serie A
Season outcomes from 10,000 simulations of the remaining schedule. Use the arrow beside a club for its finishing-position distribution, where available.
As of Sep 10, 2026
What these probabilities include
- Qualification columns describe finishing in the listed league places. Cup-winner reallocations, titleholder places, performance spots and qualifying-round progression are excluded; these are not final qualification probabilities.
- Tied teams use a head-to-head points/GD mini-table, then overall GD/GF. Recursive subgroup rules, disciplinary criteria and special title/relegation deciding matches remain approximations.
| Club | World | Proj. pts | Pts | GP | UCL places* | Europe places* | Win league | Relegated |
|---|---|---|---|---|---|---|---|---|
| 1Internazionale | #8 | 79.4 | 9 | 3 | 92% | 99% | 55% | — |
| 2AS Roma | #28 | 70.2 | 9 | 3 | 67% | 91% | 15% | — |
| 3Juventus | #23 | 69.2 | 7 | 3 | 63% | 89% | 12% | <1% |
| 4AC Milan | #39 | 64.6 | 7 | 3 | 42% | 76% | 6% | <1% |
| 5Atalanta | #36 | 64.1 | 6 | 3 | 41% | 75% | 5% | <1% |
| 6Como | #51 | 62.5 | 7 | 3 | 34% | 69% | 4% | <1% |
| 7Napoli | #42 | 60.5 | 3 | 3 | 26% | 61% | 2% | <1% |
| 8Lazio | #83 | 57.9 | 9 | 3 | 18% | 49% | 1% | <1% |
| 9Bologna | #81 | 50.1 | 1 | 3 | 4% | 19% | <1% | 7% |
| 10Frosinone | #174 | 48.1 | 6 | 3 | 3% | 14% | <1% | 10% |
| 11Fiorentina | #89 | 47.8 | 0 | 3 | 3% | 14% | <1% | 11% |
| 12Sassuolo | #141 | 47.5 | 4 | 3 | 2% | 13% | <1% | 11% |
| 13Udinese | #191 | 44.6 | 4 | 3 | 1% | 7% | <1% | 18% |
| 14Cagliari | #247 | 43 | 6 | 3 | <1% | 5% | — | 22% |
| 15Torino | #216 | 42.9 | 3 | 3 | <1% | 5% | <1% | 24% |
| 16Venezia | #145 | 42.8 | 0 | 3 | <1% | 6% | <1% | 24% |
| 17Genoa | #192 | 41.1 | 0 | 3 | <1% | 3% | <1% | 31% |
| 18Monza | #217 | 40.7 | 1 | 3 | <1% | 3% | <1% | 32% |
| 19Parma | #282 | 36.5 | 1 | 3 | <1% | 1% | — | 51% |
| 20Lecce | #365 | 35.1 | 3 | 3 | <1% | <1% | — | 58% |
Probabilities are shares of simulated seasons. Columns with several qualifying places sum to the number of places; nested outcomes overlap. Rounding can cause small differences. Cells shade with likelihood; the printed number is the estimate.