The 2024/25 Serie A season delivered some high-octane football, but beneath the goals and drama lies a deeper story told by xG (expected goals). At Statz.ai, we break it down: who were the league’s most clinical finishers, and who left goals on the table?
Expected Goals (xG) estimates the quality of scoring chances based on factors like:
G–xG tells us if a player scored more than expected (clinical), or less (wasteful).
Here’s the Top 10 goalscorers in Serie A, ranked by total goals — along with their xG, G–xG difference, and a summary of their finishing ability.
| Rank | Player | Goals | xG | G – xG | Finishing Type |
| 1️ | Mateo Retegui | 25 | 18.9 | +6.1 | Elite Finisher |
| 2️ | Moise Kean | 17 | 19.4 | –0.4 | Slight Underperformance |
| 3️ | Ademola Lookman | 15 | 10.3 | +4.7 | Clinical Finisher |
| 4 | Riccardo Orsolini | 15 | 10.1 | +4.9 | Smart Finisher |
| 5️ | Romelu Lukaku | 14 | 13.0 | +1.0 | On Par |
| 6 | Marcus Thuram | 14 | 9.9 | +4.1 | Reliable Threat |
| 7️ | Artem Dovbyk | 12 | 11.9 | +0.1 | Solid |
| 8 | Lorenzo Lucca | 12 | 7.6 | +4.4 | Silent Sniper |
| 9 | Lautaro Martínez | 12 | 13.5 | –1.5 | Underperformed |
| 10 | Scott McTominay | 12 | 7.4 | +4.6 | Surprise Package |
Below is a visual comparison of actual goals scored vs expected goals (xG) for the Serie A top scorers:
xG helps us:
It’s the ultimate scout’s cheat code — and it’s built into every stat at Statz.ai.
Goal tallies tell part of the story — but xG tells the truth. Whether you’re analyzing player performance, betting smarter, or scouting the next star striker…
Dive deeper into the data with Statz.ai — where football meets advanced stats.