GW 22 Transfers and Team Selection

Please welcome statistics on team selection and transfer activity for GW 22. I’ve updated my scripts, so all transfer and wildcard data are now available. Read this post for highlights and graphs, full stats are available in a google spreadsheet file.
Less than a half of January wildcards still available for the top 10K fantasy teams, Aguero bandwagon on the transfers market, boring captaincy figures again and much more. Enjoy.

TRANSFERS AND TEAM VALUE

Random Sample Top 10K
Number of Managers 20,000 10,000
Average Transfers Made 0.47 0.83
Point Hits Taken 8.3% 14.6%
Average Points Deducted (Incl. No Hits) 0.52 0.71
Wildcards Played 7.9% 21.7%
Wildcard Status
– played 13.8% 44.9%
– available 86.2% 55.1%
– active 0.0% 0.1%
Average Team Value ₤100.5m ₤107.7m
Average Money in the Bank ₤0.7m ₤0.9m

TRANSFERS MADE

Number Random Sample Top 10K
0 64.4% 19.9%
1 14.2% 37.7%
2 10.0% 17.9%
3 2.1% 2.4%
4 and more 1.4% 0.5%
Wildcard 7.9% 21.7%

POINT HITS TAKEN

Point Hit Random Sample Top 10K
0 points 91.7% 85.4%
4 points 5.9% 12.4%
8 points 1.4% 1.8%
12 points 0.5% 0.2%
16 points and more 0.5% 0.2%

TRANSFERS IN

Random Sample Top 10K
1 Agüero 7.0% 1 Agüero 29.7%
2 Giroud 4.2% 2 Giroud 14.0%
3 Sturridge 4.1% 3 Sturridge 13.3%
4 Lallana 3.8% 4 Kolarov 10.5%
5 Negredo 3.2% 5 Wilshere 9.1%
361 different players bought 296 different players bought

TRANSFERS OUT

Random Sample Top 10K
1 Barkley 8.7% 1 Lukaku 20.0%
2 Rooney 5.6% 2 Barkley 16.5%
3 Lukaku 5.1% 3 Rooney 15.8%
4 Ramsey 3.5% 4 Negredo 9.6%
5 Yaya Touré 3.3% 5 Adebayor 9.3%
461 different players sold 366 different players sold

FORMATIONS

Formation Random Sample Top 10K
‘3-4-3’ 40.0% 67.2%
‘3-5-2’ 6.1% 4.1%
‘4-3-3’ 19.1% 21.5%
‘4-4-2’ 30.2% 5.3%
‘4-5-1’ 0.9% 0.1%
‘5-2-3’ 1.2% 1.0%
‘5-3-2’ 2.0% 0.8%
‘5-4-1’ 0.5% 0.0%

CAPTAINCY

Random Sample Top 10K
1 Suárez 46.7% 1 Suárez 95.8%
2 van Persie 10.1% 2 Agüero 1.7%
3 Agüero 4.0% 3 Negredo 1.6%
4 Giroud 3.1% 4 Giroud 0.2%
5 Negredo 3.0% 5 Özil 0.1%
239 different captain choices 19 different captain choices

STARTING GOALKEEPERS

Random Sample Top 10K
1 Mignolet 32.1% 1 Mignolet 32.8%
2 Szczesny 12.1% 2 Szczesny 18.8%
3 Cech 7.5% 3 Mannone 11.2%
4 De Gea 6.5% 4 Boruc 7.5%
5 Howard 6.1% 5 Krul 5.3%
59 different goalkeepers 33 different goalkeepers

STARTING DEFENDERS

Random Sample Top 10K
1 Coleman 43.9% 1 Coleman 86.7%
2 Mertesacker 28.5% 2 Mertesacker 51.7%
3 Zabaleta 21.7% 3 Terry 23.1%
4 Terry 16.9% 4 Zabaleta 19.8%
5 Fonte 13.9% 5 Koscielny 19.0%
190 different defenders 97 different defenders

STARTING MIDFIELDERS

Random Sample Top 10K
1 Yaya Touré 40.8% 1 Hazard 82.1%
2 Hazard 35.1% 2 Yaya Touré 67.3%
3 Lallana 28.0% 3 Lallana 42.6%
4 Özil 19.7% 4 Özil 27.9%
5 Ramsey 18.8% 5 Eriksen 18.9%
230 different midfielders 109 different midfielders

STARTING FORWARDS

Random Sample Top 10K
1 Suárez 53.3% 1 Suárez 99.9%
2 Lukaku 27.3% 2 Negredo 38.9%
3 Giroud 22.2% 3 Lukaku 36.5%
4 Negredo 18.8% 4 Agüero 29.9%
5 van Persie 14.3% 5 Giroud 24.2%
106 different forwards 37 different forwards

BENCHED PLAYERS

Random Sample Top 10K
1 Kelvin Davis 12.6% 1 Kelvin Davis 24.2%
2 Ramsey 11.5% 2 Chester 21.6%
3 Whittaker 11.0% 3 Januzaj 18.1%
4 Baker 8.8% 4 Ramsey 17.7%
5 Barkley 8.1% 5 Whittaker 13.6%
599 different players on the bench 438 different players on the bench

OWNERSHIP AND CAPTAINCY DISTRIBUTION FOR MOST CAPTAINED PLAYERS

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FULL STATISTICS ON GOOGLE SPREADSHEETS

click

About This Post

In this post, I take a look at 2 samples: randomly selected 20,000 FPL teams and the top 10,000 FPL teams. Because of the law of large numbers, we can make inferences about the overall FPL league based on the statistics for the random sample. Interval estimates for most statistics for the whole FPL game are also available. If you’re familiar with the concept of confidence intervals, you can point at a specific number characterising the random sample to see 99% confidence intervals for the respective number characterising all the 3 million FPL managers.

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