Roma vs AC Milan - Predictions, Stats & Odds
Serie A Statistics, AI predictions, (Expected) Lineups and Insights for Gameweek 22
Goals
Game Review
In a tightly contested Serie A clash, Roma and AC Milan shared the spoils with a 1-1 draw at the Stadio Olimpico on Sunday. The result was a fair reflection of the game, which saw both teams create opportunities but ultimately cancel each other out. The match came to life in the second half after a goalless first 45 minutes. AC Milan took the lead in the 62nd minute through Koni De Winter, who capitalized on a defensive lapse to put the visitors ahead. Roma responded strongly, and their persistence paid off when Lorenzo Pellegrini, who came off the bench, equalized in the 74th minute with a well-taken goal. Both teams made strategic changes during the match. Roma introduced Lorenzo Pellegrini, Robinio Vaz, and Niccolò Pisilli as substitutes, while AC Milan brought on Christian Pulisic, Niclas Fullkrug, and Zachary Athekame. These substitutions injected fresh energy into the game, particularly Pellegrini's introduction, which proved pivotal for Roma. Pre-match expectations had AC Milan as slight favorites, given their recent form and position in the league. However, Roma's resilience and home advantage ensured they secured a valuable point. The draw leaves both teams in a similar position in the Serie A standings, with Roma looking to build on this performance in their upcoming fixtures. Post-match reactions highlighted the competitive nature of the game, with both managers expressing satisfaction with their teams' efforts. The result keeps the race for European spots in Serie A tightly contested, with both Roma and AC Milan needing to maintain consistency in the coming weeks to achieve their season objectives.
Lineups
Roma
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| FWD | |
| FWD | |
| FWD |
Substitutes
| 59' | Niccolò Pisillifor Manu Koné |
| 69' | Lorenzo Pellegrinifor Paulo Dybala |
| 69' | Robinio Vazfor Donyell Malen |
AC Milan
| Pos | Player |
|---|---|
| GK | |
| DEF | |
| DEF | |
| DEF | |
| DEF | |
| MID | |
| MID | |
| MID | |
| MID | |
| FWD | |
| FWD |
Substitutes
| 46' | Zachary Athekamefor Alexis Saelemaekers |
| 68' | Niclas Fullkrugfor Rafael Leão |
| 69' | Christian Pulisicfor Christopher Nkunku |
League Table after the game
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 | AC Milan | 22 | 13 | 8 | 1 | 35 | 17 | +18 | 47 | D D W W D |
| 3 | Roma | 22 | 14 | 1 | 7 | 27 | 13 | +14 | 43 | L W W W D |
Last Games
Serie A
Gameweek 22
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.