Gameweek Debrief 9 min read 1,770 words

Gameweek 7 Debrief: winners, blanks, and what the underlying numbers say

Neto led Gameweek 7 with 15 points against an average of 59. Underneath the scoreline, the expected-goals numbers point at a different set of names.

· Generated from Gameweek 7 player history and FPL's published round summary

The headline

Neto was the story of Gameweek 7: 15 points from 2 goals away at EVE, in 90 minutes. He went into the round owned by 2.5% of managers.

The round in numbers

These are the figures FPL publishes about the gameweek itself rather than about any one player, and they set the bar every squad is measured against.

MetricValueWhat it means
Average score59What the field scored
Highest score122The best single squad in the game
Managers ranked11,063,261Squads that scored this round
Most captained9Haaland76.8% owned, returned 13
Most selected9Haaland76.8% owned

Chips played

ChipManagersShare of the field
Triple Captain724,2866.5%
Wildcard335,2283%
Bench Boost179,0941.6%
Free Hit93,1260.8%

Triple Captain was the round's most-played chip. A chip played in the same week as everybody else converts a good week into an average one relative to the field, which is the argument for holding until your own squad is ready rather than until the template says go.

Who actually scored

PlayerTeamPosPtsMinsGABonusxGIOwned
7NetoCHEMID15902030.612.5%
26AyariBHAMID13801120.330.5%
9HaalandMCIFWD13902031.176.8%
9EvanilsonBOUFWD12781131.464.4%
19KostoulasBHAFWD12701130.529.8%
44ManzambiAVLMID11711030.622.8%
44VuskovicBHADEF11900100.465.6%
21HatoCHEDEF11900120.010.7%
17IwobiFULMID11901031.211.1%
16TavernierBOUMID10781021.359.3%
21BoscagliBHADEF10800110.150.4%
1RayaARSGK990003044.3%

The scoreline against the underlying data

Expected goals measure the chances a player got into. Goals measure what he did with them. Over one round the gap between the two is mostly noise, but it is the right place to look for the returns that have not landed yet.

Beat their chances

PlayerTeamGoalsxGDifferenceMins
7NetoCHE20.37+1.6390
9HaalandMCI20.87+1.1390
23MunozLIV10.2+0.878
17IwobiFUL10.28+0.7290
26AyariBHA10.32+0.6880
9IsakLIV10.33+0.6778

Created more than they took

PlayerTeamGoalsxGDifferenceMins
7NdiayeMCI00.88-0.8890
15SmithBOU00.54-0.5490
29BarcolaLIV00.53-0.5390
9ThiagoBRE00.49-0.4990
9WissaNEW00.47-0.4790
7GonzaloFUL00.46-0.4684

Ndiaye generated 0.88 expected goals and scored 0. That is the kind of return that tends to arrive late rather than never — provided the chances keep coming.

The defensive audit

6 teams kept a clean sheet in Gameweek 7: ARS, AVL, BOU, BHA, CHE, FUL. Clean sheets are worth four points to a defender and a goalkeeper, which makes the defensive picture worth as much attention as the attacking one.

Goalkeepers

PlayerTeamPricePtsSavesConcededOwned
1RayaARS£6.1m92044.3%
1SuzukiAVL£5.0m8102%
1MartinezCHE£5.0m8404.2%
1PetrovićBOU£4.5m6002.8%
1VerbruggenBHA£4.6m61022.6%
1LenoFUL£4.5m6004.3%

A goalkeeper behind a leaky defence is not automatically a bad pick: save points accumulate in exactly the weeks a clean sheet does not arrive, which is why the busiest keeper in the division is often better value than the one behind the best defence.

Defenders

PlayerTeamPricePtsBonusxGIOwned
44VuskovicBHA£5.1m1100.465.6%
21HatoCHE£4.5m1120.010.7%
21BoscagliBHA£4.5m1010.150.4%
15KonsaARS£4.6m930.0117.8%
3LindelöfAVL£4.5m9100.3%
6GabrielARS£7.9m800.4421.1%

Attacking output by team

TeamScoredConcededResult
BHA50Won
MCI32Won
TOT31Won
BOU20Won
CHE20Won
IPS23Lost
LIV21Won
ARS10Won

BHA scored the most goals of the round with 5. Team-level attacking output is the cleanest signal available after a single round: it takes eleven players to create a goal and one to finish it, and the finisher changes far more often than the creating does.

The bonus point picture

Bonus is decided by the Bonus Points System, which rewards goals and assists heavily but also pays for tackles, recoveries, clean sheets and passing accuracy. Over a season it is worth roughly a point a game to the players who consistently rank in it, and it is the most overlooked component of a captaincy decision.

PlayerTeamPosBonusBPSPtsOwned
9HaalandMCIFWD3711376.8%
7NetoCHEMID364152.5%
9EvanilsonBOUFWD351124.4%
19KostoulasBHAFWD349129.8%
17IwobiFULMID347111.1%
22MarmoushTOTFWD33992%
44ManzambiAVLMID335112.8%
9IsakLIVFWD334913%
1RayaARSGK329944.3%
41RiceARSMID329911.2%

Haaland took the maximum with 3 from a BPS score of 71. Defenders and holding midfielders who accumulate BPS through defensive actions are the ones worth identifying early, because that route to bonus is far more repeatable than the one that runs through scoring goals.

The premium watch

A premium at £10m or more is not competing with the other forwards. He is competing with the two mid-price players you could field instead, and with the 76.8% of the field who already own the most popular of them.

PlayerTeamPricePtsMinsGAxGIOwned
9HaalandMCI£15.7m1390201.176.8%
8B.FernandesMUN£11.8m190000.1229.2%
10PalmerCHE£9.7m290000.1926.4%
7SakaARS£9.6m390000.1616.7%
9IsakLIV£9.0m978100.3513%

Haaland led the bracket with 13. B.Fernandes returned 1, and at £11.8m that is the single largest hole a squad can have in a week. Not owning the most-selected premium is an active bet against 76.8% of the field — a legitimate one, but it should be deliberate.

Enablers and budget gems

The cheapest player who actually starts is worth more than a better player who does not. An enabler's job is to cost £4.5m and play ninety minutes; everything past that is profit that funds the rest of the squad.

PlayerTeamPosPricePtsMinsOwned
26AyariBHAMID£5.4m13800.5%
44VuskovicBHADEF£5.1m11905.6%
21HatoCHEDEF£4.5m11900.7%
17IwobiFULMID£5.4m11901.1%
21BoscagliBHADEF£4.5m10800.4%
15KonsaARSDEF£4.6m99017.8%
3LindelöfAVLDEF£4.5m9900.3%
23Lewis-PotterBREMID£5.5m9761.7%

Ayari at £5.4m returned 13 points from 80 minutes, on 0.5% ownership. Enablers at that price are how squads afford two premiums without hollowing out the bench.

The differentials who paid

Points from a player most of the field does not own are worth more than the same points from one they do. These returned at least six while owned by under 8% of managers, which is where rank is actually won.

PlayerTeamPosPricePtsOwnedMins
7NetoCHEMID£6.5m152.5%90
26AyariBHAMID£5.4m130.5%80
9EvanilsonBOUFWD£6.1m124.4%78
44ManzambiAVLMID£6.0m112.8%71
44VuskovicBHADEF£5.1m115.6%90
21HatoCHEDEF£4.5m110.7%90
17IwobiFULMID£5.4m111.1%90
21BoscagliBHADEF£4.5m100.4%80

Neto at 2.5% ownership returned 15. The managers who owned him gained ground on almost the entire field in a single afternoon — that is the whole case for carrying one or two genuine differentials rather than a squad indistinguishable from the template.

Is Neto worth chasing?

The reflex after a haul is to buy it, and the reflex is usually wrong — you pay a risen price for a performance that has already happened. The question worth asking is not what he just did but what is in front of him:

GW8TOT (H)GW9MUN (H)GW10SUN (A)GW11LEE (H)

An average difficulty of 3 across his next four. That is an ordinary run — not a reason to buy and not a reason to avoid, which usually means the transfer is better spent elsewhere.

The early transfer radar

Four calls off the back of this round, with the reasoning attached so you can disagree with the reasoning rather than the conclusion.

BUY: Evanilson (BOU, £6.1m)1.46 expected involvements in 78 minutes and still only 4.4% owned.
BUY: Tavernier (BOU, £6.2m)1.35 expected involvements in 78 minutes and still only 9.3% owned.
HOLD: João Pedro (£7.9m)2 points reads badly, but 0.3 expected involvements says the process was fine. Selling here sells the scoreline, not the player.
SELL: Cherki (£8.0m)0 minutes. Minutes are the one thing no projection can work around.

Looking ahead to Gameweek 8

FixtureHome difficultyAway difficulty
IPS v NFO3.02.0
AVL v MCI4.03.0
ARS v EVE3.05.0
COV v FUL2.02.0
CHE v TOT2.04.0
CRY v NEW3.03.0
HUL v BRE3.02.0
LIV v BHA3.04.0
MUN v BOU3.04.0
SUN v LEE3.03.0

NFO have the kindest assignment of the round on difficulty alone. That is a starting point for captaincy rather than an answer — difficulty ratings know nothing about who is injured.

Every figure in this piece was read from the FPL dataset at the moment it was published, and has not been edited since.