FPL GW21 Midfielders: Is It Time to Sell Rogers for Enzo? | FPL Stats Lab
We have all been there. You look at your midfield, see a sea of yellow flags or single-point blanks, and feel that familiar Sunday night dread. Gameweek 21 is upon us, and the 'template' is starting to feel stale. Everyone in your mini-league seems to own the same four midfielders, and the margins for gaining rank are razor-thin. The temptation is to stick with the herd, but my decade of management—and the scars that come with it—tells me this is the moment to be brave. The data is screaming that the consensus picks are overperforming, whilst a certain Chelsea asset is quietly posting elite numbers under the radar. Let's break it down.
Key Takeaways
- The Template Trap: Morgan Rogers (30.2% owned) is massively overperforming his xGI/90 of 0.27—a regression is statistically likely.
- The Value King: Enzo Fernández offers double the expected goal involvement of Rogers for £1.2m less.
- The Creative Force: Rayan Cherki boasts an incredible 0.52 xA/90, making him the creative heartbeat to watch.
Should I Sell Morgan Rogers for a Differential?
The Short Answer: Yes, the data strongly supports this move. Rogers has an xGI/90 of just 0.27 compared to Enzo Fernández's 0.63, suggesting the Villa man is enjoying unsustainable luck while Enzo is due a haul.
This is going to be a controversial take, given that Morgan Rogers sits in 30.2% of teams. He has been a faithful servant with 98 total points and 7 goals. The 'eye test' says he is clinical. However, when I look closer using the Player Comparison tool, the alarm bells start ringing. We need to separate past points from future probability.
Rogers is currently priced at £7.6m. For that mid-price bracket, you expect dominant underlying stats. Yet, his expected goal involvement (xGI) per 90 minutes is a lowly 0.27. To put that in perspective, he has scored 7 goals from an xG of just 3.22. That is a massive overperformance. History tells us that unless your name is Lionel Messi, finishing rates usually revert to the mean. He is scoring difficult chances at an unsustainable rate.
Contrast this with the man I am looking to bring in: Enzo Fernández. At just £6.4m, he is significantly cheaper, yet his underlying data blows Rogers out of the water. Enzo's xGI/90 is 0.63—more than double that of Rogers. He has an xG of 7.74 (higher than his actual 6 goals), suggesting he is getting into elite positions and is actually slightly under his expected output. In FPL, we chase the stats, not the past points. Swapping the high-owned overperformer for the low-owned underperformer is exactly how you climb rankings.
Who Has the Best Fixtures for the Next 4 Gameweeks?
The Short Answer: Chelsea's assets are the priority here. Our planner shows a run of Fulham (A), Brentford (H), and Crystal Palace (A), providing the perfect platform for Enzo Fernández to deliver returns.
Stats are vital, but context is king. A great player in a bad fixture run is often a 'hold', but a good player in a great fixture run is a 'buy'. I turned to the Fixture Difficulty Planner to find the teams entering a golden patch. Chelsea immediately stood out.
The Blues face Fulham, Brentford, Crystal Palace, and West Ham in their next four. That is a sea of green. This aligns perfectly with Enzo Fernández's data profile. We know he is getting chances (0.43 xG/90), and now he faces defences that are generous to opposition midfielders. At just 9.2% ownership, Enzo is a genuine differential. If you buy him now, you are getting a player with top-tier stats before the crowd catches on. By the time he plays Leeds in six weeks, I expect his price to have risen significantly.
Conversely, Declan Rice (£7.1m) faces a trickier period. With Liverpool and Man Utd in his next three games, his ceiling might be capped. While his form of 6.8 is impressive, his xGI/90 of 0.35 is nearly half of Enzo's. He is the safe, boring pick, but right now, the upside is clearly at Stamford Bridge.
Is Rayan Cherki the Real Deal or a Rotation Risk?
The Short Answer: Cherki is an elite creative asset with an xA/90 of 0.52, but his low start count (10) makes him a higher-risk luxury pick compared to the nailed-on status of Rice or Rogers.
I have seen a lot of chatter about Man City's Rayan Cherki (£6.8m). His form is currently the highest of this group at 7.3, and he has racked up 8 assists. Naturally, managers are interested. I used the Player Watchlist to see if the algorithm favoured him, and he appeared high on the list of creative metrics.
The numbers are seductive. His expected assists (xA) per 90 is 0.52, which is elite creativity. He is creating a high-quality chance every other game. However, the caveat is playing time. He has only 10 starts this season compared to Rogers' 20. In the Guardiola roulette, minutes are the most precious currency.
If you have a strong bench, Cherki could be the explosive differential (15.7% owned) that wins you a mini-league. His next match against Brighton (H) could be a goal-fest. But be warned: unlike Enzo (18 starts) or Rogers (20 starts), you might be sweating on the team sheet at 11:30 AM.
The Final Verdict: Who Wins the Armband of Transfer Priority?
We are playing probabilities. If Morgan Rogers continues to score from low-probability chances, then fair play to him—but I am betting against it. The data indicates he is a 'sell high' candidate.
Enzo Fernández represents the perfect intersection of value, form, and fixtures. He saves you £1.2m over Rogers, has vastly superior underlying goal threat numbers, and faces a run of defences that struggle to contain dynamic midfielders. It is a move that feels scary because of the ownership difference, but those are the moves that define seasons.
Of course, football has variance. If Rogers scores a worldie against Palace and Enzo blanks at Fulham, it doesn't mean the process was wrong. It means we took the +EV (positive expected value) decision. Over the rest of the season, backing the higher xGI/90 usually wins.
Want to check the stats for your own transfer targets? Use our interactive Player Comparison tool on FPL Stats Lab to find the hidden value in your squad.
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