Gameweek 3 is where early patterns become real trends. Your dataset gives us a crystal‑clear picture of who’s performing, who’s over‑performing, and who’s already sinking. With points, ppg, starts, selection %, and fixture difficulty all included, we can build a genuinely sharp GW3 preview.
Below is a full breakdown of the best picks — and the traps — based entirely on the data you supplied.
🔥 Elite GW3 Picks (Data‑Driven)
1. Bruno Fernandes (MID, Man Utd, £12.0m)
GW3 opponent: Everton Dataset line:
“25 points, 12.5 ppg, selected 48.6%, pos_rank 1”
Bruno is the highest‑scoring and highest‑ppg midfielder in the entire dataset. He’s also the #1 ranked midfielder. Everton at home is a strong fixture, and Bruno has already delivered two double‑digit returns.
He’s the standout captaincy alternative to Haaland.
2. Rayan Cherki (MID, Man City, £7.7m)
GW3 opponent: Coventry City Dataset line:
“22 points, 11 ppg, selected 25.9%, pos_rank 4”
Cherki is the breakout star of the early season. His ppg is elite, his involvement is high, and Coventry City is the softest fixture in the entire dataset. Man City mids are usually rotation risks, but Cherki’s early numbers suggest he’s locked in.
If you don’t own him, you’re missing a huge value spike.
3. Riccardo Calafiori (DEF, Arsenal, £5.6m)
GW3 opponent: Chelsea Dataset line:
“20 points, 10 ppg, selected 43.6%, pos_rank 1”
Calafiori is the top‑ranked defender in your dataset. Arsenal’s defence is elite, and Calafiori’s attacking threat is real. Even with Chelsea away, he’s a hold and a buy.
He’s the best defensive pick in the game right now.
4. Bukayo Saka (MID, Arsenal, £9.5m)
GW3 opponent: Chelsea Dataset line:
“20 points, 10 ppg, selected 10.6%”
Saka’s selection % is surprisingly low given his output. That makes him a differential premium. Chelsea away isn’t ideal, but Saka is fixture‑proof and his underlying numbers are strong.
He’s a high‑value pick for GW3 and beyond.
5. João Pedro (FWD, Chelsea, £7.7m)
GW3 opponent: Arsenal Dataset line:
“20 points, 10 ppg, selected 69.8%, pos_rank 2”
He’s the most‑owned forward in your dataset — and for good reason. Two starts, two returns, and Chelsea’s attack runs through him. Arsenal is tough, but his form is too strong to bench or sell.
If you own him, you hold. If you don’t, he’s still viable.
6. Pascal Groß (MID, Brighton, £5.5m)
GW3 opponent: Leeds Dataset line:
“15 points, 7.5 ppg, selected 14.6%, pos_rank 10”
Groß is quietly one of the best value mids in the dataset. Brighton’s fixtures are mixed, but Leeds at home is a good matchup. His consistency makes him a safe GW3 pick.
7. Cody Gakpo (MID, Liverpool, £7.0m)
GW3 opponent: Ipswich Town Dataset line:
“17 points, 8.5 ppg, selected 8.1%”
Liverpool vs Ipswich is one of the best fixtures of the week. Gakpo’s numbers are excellent, and his price is perfect for mid‑range balance.
He’s a top GW3 pick.
8. Anthony Elanga (MID, Newcastle, £6.1m)
GW3 opponent: Bournemouth Dataset line:
“17 points, 8.5 ppg, selected 8.4%”
Elanga is a classic early‑season rank climber. Newcastle’s attack is strong, and Bournemouth at home is a great fixture.
He’s a high‑upside differential.
9. Erling Haaland (FWD, Man City, £15.5m)
GW3 opponent: Coventry City Dataset line:
“15 points, 7.5 ppg, selected 70.9%, pos_rank 1”
You already know. Coventry City is the best fixture in the dataset. Haaland is essential and the clear captain.
💎 GW3 Differentials (Under‑the‑Radar Data Picks)
1. De Cuyper (DEF, Brighton, £4.7m)
Dataset line:
“17 points, 8.5 ppg, selected 15%”
Brighton defenders are usually rotation risks, but De Cuyper’s numbers are strong. Leeds at home is a decent fixture.
2. Kayode (DEF, Brentford, £4.6m)
Dataset line:
“15 points, 7.5 ppg, selected 9.3%”
Brentford have Sunderland at home — a great fixture. Kayode is cheap, attacking, and in form.
3. Wissa (FWD, Newcastle, £6.1m)
Dataset line:
“12 points, 6 ppg, selected 11.7%”
Newcastle vs Bournemouth is a fixture to target. Wissa is a sneaky good pick.
🚫 Players to Avoid (Based on Your Dataset)
1. Brighton Midfield Traps (Hinshelwood, Yalcouyé, Gomez)
Dataset lines:
“Hinshelwood — 16 points but only 1 start” “Yalcouyé — 9 points, 1.5 ppg” “Gomez — 11 points, 5.5 ppg but low involvement”
Brighton mids look like rotation risks. Avoid.
2. Everton Attack (Barry, Armstrong, Dewsbury‑Hall)
Dataset lines:
“Barry — 10 points, 5 ppg” “Armstrong — 10 points, 5 ppg” “Dewsbury‑Hall — 13 points, 6.5 ppg”
The numbers aren’t terrible, but Everton face Man Utd and Spurs next. Fixtures kill the upside.
3. Ipswich Attack (Enciso, Emersonn, Akpom)
Dataset lines:
“Enciso — 10 points, 5 ppg” “Emersonn — 10 points, 5 ppg” “Akpom — 6 points, 3 ppg”
Liverpool → Palace → Everton → Fulham → Man City This is a brutal run. Avoid all Ipswich attackers.
4. Sunderland Forwards (Isidor, Brobbey)
Dataset lines:
“Isidor — 9 points, 4.5 ppg, 0 starts” “Brobbey — 4 points, 2 ppg”
They’re not starting, not scoring, and have Brentford → Arsenal → Man City next.
5. Coventry City Defence (Thomas, van Ewijk, Dasilva)
Dataset lines:
“Thomas — 11 points, 5.5 ppg” “van Ewijk — 3 points, 1.5 ppg” “Dasilva — 3 points, 1.5 ppg”
They face Man City. Enough said.
6. Man Utd Fringe Mids (Mainoo, Tielemans, Rashford)
Dataset lines:
“Mainoo — 5 points, 2.5 ppg” “Tielemans — 6 points, 3 ppg” “Rashford — 3 points, 1.5 ppg”
Minutes inconsistent, output low. Avoid.
🎯 GW3 Captaincy
1. Haaland (vs Coventry City)
Best fixture, best player, best numbers.
2. Bruno Fernandes (vs Everton)
Elite ppg, elite involvement.
3. Cherki (vs Coventry City)
Differential captain if you’re chasing.
Final Thoughts
Your dataset makes GW3 surprisingly clear:
- Man City and Arsenal assets are essential.
- Liverpool mids are undervalued.
- Newcastle attackers are great picks.
- Brighton mids, Ipswich attackers, and Coventry defenders are traps.
If you build around Bruno, Cherki, Calafiori, Saka, and Haaland, you’re setting yourself up for a strong green arrow.
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