Gameweek Debrief 9 min read 1,777 words

Gameweek 10 Debrief: winners, blanks, and what the underlying numbers say

Alysson led Gameweek 10 with 16 points against an average of 55. Underneath the scoreline, the expected-goals numbers point at a different set of names.

· Generated from Gameweek 10 player history and FPL's published round summary

The headline

Alysson was the story of Gameweek 10: 16 points from 1 goal and 2 assists away at MUN, in 70 minutes. He went into the round owned by 0.1% 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 score55What the field scored
Highest score139The best single squad in the game
Managers ranked11,202,046Squads that scored this round
Most captained9Haaland78.9% owned, returned 2
Most selected9Haaland78.9% owned

Chips played

ChipManagersShare of the field
Bench Boost282,1732.5%
Wildcard136,6711.2%
Triple Captain133,0071.2%
Free Hit80,3690.7%

Bench Boost 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
47AlyssonAVLMID16701230.280.1%
11BarryEVEFWD16902131.0210.5%
7WirtzLIVMID13901130.465.4%
19DelapNFOFWD13862030.241.5%
44VuskovicBHADEF12900130.058.9%
8ØdegaardARSMID11901030.5816.5%
11N.JacksonAVLFWD11851121.3230.6%
13DorguMUNMID11241120.510.3%
28E.Le FéeSUNMID11871030.852.7%
7McGinnAVLMID10701100.973.5%
13GroßBHAMID10901021.5247.9%
5MuharemovićLEEDEF10900020.016.4%

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
19DelapNFO20.24+1.7686
11BarryEVE20.92+1.0890
34GbohoCOV10.2+0.872
10Mac AllisterLIV10.22+0.7890
8ØdegaardARS10.24+0.7690
27GoretzkaAVL10.27+0.7377

Created more than they took

PlayerTeamGoalsxGDifferenceMins
33AraujoLIV00.8-0.890
9BrobbeySUN00.74-0.7466
11BarnesNEW00.66-0.6690
10YeremyCRY00.62-0.6286
17EnzoMCI00.58-0.5877
9HaalandMCI00.5-0.590

Araujo generated 0.8 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

4 teams kept a clean sheet in Gameweek 10: ARS, BHA, LEE, SUN. 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
1TraffordLEE£5.0m10406.4%
22RoefsSUN£4.9m9401.9%
1RayaARS£6.2m62047.4%
1VerbruggenBHA£4.6m60023.9%
19TzolakisHUL£4.7m69113.5%
1A.BeckerLIV£5.5m4614.1%

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£5.3m1230.058.9%
5MuharemovićLEE£5.1m1020.016.4%
24JustinLEE£4.5m910.112.4%
23Jair CunhaNFO£4.4m910.470.2%
20MukieleSUN£5.3m9101.4%
6GabrielARS£8.1m80026%

Attacking output by team

TeamScoredConcededResult
AVL44Drew
MUN44Drew
EVE31Won
LIV31Won
NFO31Won
BOU21Won
BHA20Won
ARS10Won

AVL scored the most goals of the round with 4. 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
19DelapNFOFWD364131.5%
11BarryEVEFWD3591610.5%
7WirtzLIVMID349135.4%
47AlyssonAVLMID348160.1%
8ØdegaardARSMID3441116.5%
9EvanilsonBOUFWD339923.4%
23J.MurphyNEWMID338100.1%
44VuskovicBHADEF337128.9%
1TraffordLEEGK334106.4%
28E.Le FéeSUNMID333112.7%

Delap took the maximum with 3 from a BPS score of 64. 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 78.9% of the field who already own the most popular of them.

PlayerTeamPricePtsMinsGAxGIOwned
9HaalandMCI£15.8m290000.5278.9%
10PalmerCHE£9.8m290000.1128.4%
9IsakLIV£9.3m890100.5524.9%
8B.FernandesMUN£11.6m1090111.5520.4%
7SakaARS£9.4m000005.5%

B.Fernandes led the bracket with 10. Saka returned 0, and at £9.4m that is the single largest hole a squad can have in a week. Not owning the most-selected premium is an active bet against 78.9% 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
47AlyssonAVLMID£4.9m16700.1%
19DelapNFOFWD£5.3m13861.5%
44VuskovicBHADEF£5.3m12908.9%
7McGinnAVLMID£5.4m10703.5%
5MuharemovićLEEDEF£5.1m10906.4%
1TraffordLEEGK£5.0m10906.4%
25GomezBHAMID£5.0m9904.2%
24JustinLEEDEF£4.5m9902.4%

Alysson at £4.9m returned 16 points from 70 minutes, on 0.1% 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
47AlyssonAVLMID£4.9m160.1%70
7WirtzLIVMID£7.2m135.4%90
19DelapNFOFWD£5.3m131.5%86
13DorguMUNMID£5.7m110.3%24
28E.Le FéeSUNMID£5.7m112.7%87
7McGinnAVLMID£5.4m103.5%70
5MuharemovićLEEDEF£5.1m106.4%90
1TraffordLEEGK£5.0m106.4%90

Alysson at 0.1% ownership returned 16. 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 Alysson 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:

GW11SUN (H)GW12IPS (A)GW13EVE (H)GW14CRY (H)

An average difficulty of 2.3 across his next four. That is a genuinely kind run, and it is the version of this question where chasing the haul is defensible.

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: Barry (EVE, £5.7m)1.02 expected involvements in 90 minutes and still only 10.5% owned.
BUY: McGinn (AVL, £5.4m)0.97 expected involvements in 70 minutes and still only 3.5% owned.
HOLD: Tavernier (£6.7m)3 points reads badly, but 0.59 expected involvements says the process was fine. Selling here sells the scoreline, not the player.
SELL: João Pedro (£7.6m)Thigh injury - Unknown return date

Looking ahead to Gameweek 11

FixtureHome difficultyAway difficulty
MCI v FUL2.05.0
AVL v SUN2.03.0
BOU v NFO3.04.0
CHE v LEE3.04.0
COV v CRY2.02.0
TOT v IPS2.03.0
NEW v ARS4.03.0
HUL v BHA4.02.0
LIV v MUN3.04.0
BRE v EVE3.04.0

MCI 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.