In this article, I will use data to scout the best attackers in the Italian Serie A Femminile. In doing so I will look at the players who are worth following in the next months or years to come.
Data: Serie A Femminile
The data used in this analysis comes from Wyscout. In the dataset for the attacker, I’ve selected each player who primarily plays in the attacker position. There are other players who have played in this position. But, I’ve only selected the players that have played as an attacker as a dominant position in the current season. This leaves me with 90 players who qualify in the Serie A Femminile 2021/2022.
Because I’m looking at the current season, I want to make a selection for players that played a decent amount of games for me to assess them. It’s important that they have played at least 600 minutes in the current season. After looking at that I’m left with 47 players in my dataset and they will go through my analysis process. The data was retrieved on 19th of May 2022.
I will look at the following categories and metrics to assess their abilities through data:
- Shots
- Dribbling
- Offensive duels
- Assists
- Goals
Looking at shot quality can be measured in different things. In the scatterplots below I will look at the volume of the shots. And, the expected goals that are generated through the shots.
Serie A Femminile: Shots
In the shot volume, we can see that the following players do well. G. Marinelli (3,89 shots per 90), M. Piemonte (3,99 shots per 90), and V. Giacinti (4,79 shots per 90) stand out in terms of the number of shots in Serie A Femminile.
The best performers in terms of the percentage of shots going on target are the following. M. Monnecchi with 60% shots on target, A. Bonfantini with 61,11% shots on target, and K. Lundin with 65,63% shots on target.
In the scatterplot above you can see the number of shots per 90 of a certain player. We also see the expected goals per 90 of that particular player in question. The reason we look at this is how many shots a player has in a game. And, how high the probability is of scoring an actual goal.
In the shot volume, we can see that the following players do well. G. Marinelli (3,89 shots per 90), M. Piemonte (3,99 shots per 90), and V. Giacinti (4,79 shots per 90) stand out in terms of the number of shots in Serie A Femminile.
Looking at the expected goals generated per game we see the following players coming on top. V. Pirone with 0,72 xG per 90, M. Piemonte with 0,75 xG per 90, and V. Giacinti with 0,77 xG per 90.
Serie A Femminile: Dribbling
Dribbling often is linked to wide midfielders of wingers, but it can be a valuable aspect of an attacker’s game as well. The ability to control the ball, progress on the pitch, and deal positively with a 1v1 situation with an opponent defender, is not to be underestimated. Especially when you are not playing a typical central forward role, but playing with two attackers.
If we look at the number of dribbles per 90 in Serie A Femminile, the following players come out on top of their respect metric: A. Bonfantini with 6,53 dribbles per 90, M. Monnecchi with 8,07 dribbles per 90, and D. Ippolito with 9,92 dribbles per 90.
When we look closer at the success rate of the dribbles, we can see that a different set of players scores high – but attempt fewer dribbles per 90: J. Fridlund with 69,23% successful dribbles, M. Cambiaghi with 75% successful dribbles, and D. Salvatori Rinaldi with 80% successful dribbles.
Serie A Femminile: Offensive duels
The importance of offensive duels can be seen in two lights. The first one is to measure the physicality of an attacker and the ability to win offensive duels to create something out of an attack. The second one is to engage in the pressing style set out by a team. The ability to press a direct opponent and win the ball can also be found in this metric of offensive duels.
The most offensive duels conducted per 90 are by the following players: M. Piemonte with 21,19 offensive duels per 90, S. Jaimes with 22,58 offensive duels per 90, and D. Ippolito with 24,14 offensive duels per 90.
If we look closer at the players that have the highest percentage of won offensive duels, the following players stand out: J. Fridlund with 48,98% offensive duels won, D. Ippolito with 50% offensive duels won, and F. Pittaccio with 51,88% offensive duels won.
Assists
Expected metrics seem simple but can become incredibly complicated when combining things. In the scatterplot above I’ve taken a look at the probability of the pass becoming an assist per 90 minutes and looking at the actual assists of a player per 90 minutes.
If we look at the expected assists per 90, we can see that a few players stand out from the crowd with a significantly higher xA per 90 than the rest. Paloma Lázaro has 0,32 expected assists per 90, B. Glionna has 0,35 expected assists per 90, and M. Monnecchi has 0,4 expected assists per 90.
Looking more closely, we can see that the actual assists per 90 don’t correspond with the three players with the highest expected assists per 90. C. Girelli has 0,45 assists per 90, H. Bugeja has 0,52 assists per 90, and A. Guagni has 0,69 assists per 90.
Goals
In the end, the most important thing for an attacker is her output: goals. I’m looking at the probability of scoring a goal with a certain short and looking at the actual goals scored by a particular player per 90 minutes.
Looking at the expected goals generated per game we see the following players coming on top. V. Pirone with 0,72 xG per 90, M. Piemonte with 0,75 xG per 90, and V. Giacinti with 0,77 xG per 90.
When we look more closely at the actual goals scored per 90 we see that L. Clelland has 0,67 goals per 90, followed by Paloma Lázaro with 0,68 goals per 90, and V. Pirone with 0,75 goals per 90.
Final thoughts
In the data analysis above we have seen a few key elements of an attacker’s attacking play. In every aspect of those key elements, we have seen which players have been the best and which players we would do well to track.
