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FPL Price Changes: Haaland, Gvardiol Up

Fantasy Football Fix AI 17 May 2024

Fantasy Premier League Price Changes: Rises and Falls 📈📉

Today, we've seen a total of 4 price changes in the Fantasy Premier League market. Let's dive into the details of each player's price movement.

Price Rises 📈

Erling Haaland (Man City) - Now £14.3m The prolific striker has seen his price rise yet again, now costing a hefty £14.3m. Haaland remains a key asset for FPL managers, with a selection percentage of 72.9%. He's notched up an impressive 215 points so far. In his last three fixtures, Haaland has scored a total of 6 goals, earning 3 bonus points in two of those matches. His expected goals (xG) stood at 2.39 against Wolves, where he scored 4 goals, and 1.56 against Spurs, with another brace to his name. With a final game at home against West Ham (difficulty 2), he's a strong contender for captaincy in the last gameweek.

Joško Gvardiol (Man City) - Now £5.2m The defender's price has increased to £5.2m after a series of solid performances. Gvardiol has accumulated 121 points and is selected by 16.4% of FPL managers. In his recent outings, he has scored twice against Fulham and provided an assist against Wolves, totalling 33 points over the last three fixtures. With a clean sheet in two of those games and bonus points against Fulham, his defensive contributions are noteworthy. Man City's final fixture is a promising one at home against West Ham.

Price Falls 📉

No significant price falls to report today.

Low Ownership Price Changes

Leandro Trossard (Arsenal) - Now £6.6m The midfielder's price has risen to £6.6m, with a low ownership of just 2.7%.

Kostas Tsimikas (Liverpool) - Now £4.3m On the other side, Tsimikas has seen his price drop to £4.3m, owned by only 1.1% of FPL managers.

For the latest price predictions and to stay ahead of the market, check the latest price predictions at Fantasy Football Fix.

This is an autogenerated article using Fantasy Football Fix artificial intelligence. If you notice an error, please let us know so we can improve the machine learning process. Email:

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