Sassuolo vs AC Milan - Predictions, Stats & Odds
Serie A Statistics, AI predictions, (Expected) Lineups and Insights for Gameweek 35
Goals
Game Review
In a surprising turn of events in Serie A, Sassuolo secured a 2-0 victory over AC Milan in their Gameweek 35 clash. The result was unexpected given AC Milan's stature and their recent form, but Sassuolo capitalized on key moments to claim all three points. The match began with Sassuolo taking an early lead through Domenico Berardi (GAP +3.0%), who found the back of the net in the 5th minute. This early goal set the tone for the home side, who looked more composed and confident as the game progressed. The situation worsened for AC Milan when Fikayo Tomori (GAP +3.9%) received a red card in the 24th minute, leaving the visitors with ten men for the majority of the match. Sassuolo doubled their advantage shortly after the break, with Armand Laurienté (GAP -0.6%) scoring in the 47th minute. This goal effectively sealed the win for Sassuolo, as AC Milan struggled to mount a comeback with a numerical disadvantage. From a tactical perspective, Sassuolo's manager made no changes to the starting lineup compared to their previous match, showing faith in his squad's ability to deliver. AC Milan, on the other hand, made several changes, bringing in players like Matteo Gabbia (GAP +5.8%) and Christopher Nkunku (GAP -1.4%). However, these adjustments did not yield the desired outcome, as the team failed to find the back of the net. The performance of Stefano Turati (GAP -4.8%) in goal was crucial for Sassuolo, as he managed to keep a clean sheet despite AC Milan's attempts to break through. Meanwhile, AC Milan's Mike Maignan (GAP +3.0%) was kept busy throughout the match but could not prevent the two goals. This result leaves AC Milan in a precarious position as they aim to secure a top-four finish, while Sassuolo will be buoyed by this victory, which could help them climb the Serie A table. The win also highlights Sassuolo's ability to perform against top-tier teams, potentially boosting their confidence for the remaining fixtures. Post-match reactions from both camps emphasized the significance of the early goal and the impact of the red card on the game's outcome. Sassuolo's players and fans celebrated a well-earned victory, while AC Milan will need to regroup quickly to maintain their push for European qualification.
Lineups
Sassuolo
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
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| FWD | |
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| FWD |
Substitutes
| 40' | Woyo Coulibalyfor Jay Idzes |
| 46' | Luca Lipanifor Nemanja Matic |
| 59' | Cristian Volpatofor Domenico Berardi |
| 84' | Andrea Pinamontifor M’Bala Nzola |
| 84' | Alieu Faderafor Armand Laurienté |
AC Milan
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD | |
| FWD |
Substitutes
| 46' | Zachary Athekamefor Christopher Nkunku |
| 59' | Santiago Giménezfor Rafael Leão |
| 59' | Ruben Loftus-Cheekfor Alexis Saelemaekers |
| 59' | Christian Pulisicfor Youssouf Fofana |
| 66' | Samuele Riccifor Ardon Jashari |
League Table after the game
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 3 | AC Milan | 35 | 19 | 10 | 6 | 48 | 29 | +19 | 67 | L L W D L |
| 8 | Sassuolo | 35 | 14 | 8 | 13 | 43 | 43 | 0 | 50 | W L W D W |
Last Games
Serie A
Gameweek 35
What is GAP?
What is Plus Minus Goals (G±)?
Plus Minus Goals (G±) is the average goal difference per game while the player was on the pitch. A value above 0 indicates that the team rather wins, a value below 0 means his team concedes more goals than they score when the player is on the pitch. As an example, if the player's team is winning 3:1 the goal difference is +2, if the player's team is loosing 0:1, the goal difference is -1. It is a pure metric which is barely adjusted for circumstances to purely show the goal difference.
What is GAP?
GAP (Game Advantage Percentage) shows the percentage gap between a player and the average league player. It answers the question: How much does a player improve or worsen a team's performance? It is based on high level game data with a focus on the impact on the goal difference (G±) from the last 50 games of a player. Besides that, GAP goes further and considers game context by involving data from the player and all other players who are at the same time on the pitch, no matter if teammates or opponents. Football GAP - the individual metric for team players.