21 Under 21: Jonathan Rowe (Norwich)
Episode #14 | George Elek and Ali Maxwell list the most outstanding young players in the EFL.
21 Under 21 will be released every weekday at noon in June, with paid subscribers unlocking early access to all video content.
“He’s very different in style to your normal wingers: he tends to drop into pockets of space centrally, get on the ball and hurt teams through the middle” — George Elek
Jonathan Rowe
Norwich City — Championship, 2023/24:
Born: 30 April 2003
Position: Winger / Attacking midfielder
League appearances: 34
League starts: 27
🎳 Hits Different…
He may not have necessarily been the reason why they breathed but, for a large part of the season, Jon Rowe was the reason why Norwich fans still believed.
The Canaries’ No.27 enjoyed a red-hot start to the campaign, scoring in each of the opening four games and providing an assist in the fifth. Despite missing much of the second half of the season through injury, Rowe finished with 12 league goals and two assists.
Rowe is comfortable on either flank, but does a lot of his best work centrally. The Westminster-born attacker is a precocious talent who is capable of producing the spectacular. Rowe backs himself to deliver when it matters most and he often does, as demonstrated by his brace at Portman Road in December and his stunning solo effort against Hull in January. When the likes of Josh Sargent and Ashley Barnes weren’t available, Rowe (along with Gabriel Sara) would often put his hand up, take the game by the scruff of the neck and get the Canaries over the line.
The 21-year-old’s injury record might discourage a Premier League club from spending big on him this summer but, with a new era dawning at Carrow Road and other shining lights set to move on, another season in the yellow and green limelight certainly won’t hurt.
📈 At a glance
Pizza charts informed by match data. Each chart rates a chosen player from 0-99 across different metrics (e.g. Dribbles) according to their “percentile rank”. A 75 score shows a player outperforming 75% of other players in the dataset. Each dataset is position-specific. Negative metrics are reversed. [Credit: Riley Roberts.]
▶️ Watch: Episode 14
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