GW 26 Final Results

GW 26 Final Results

Winds gusting, games called off, but FPL Discovery still welcomes you to the final results of GW 26. As usual, the results are with autosubs, vice-captains, and the following bonus points:

  • Koscielny(3), Mertesacker(2), Sagna(1), Gibbs(1)
  • Adebayor(3), Bentaleb(2), Paulinho(1)
  • Crouch(3), Chico(2), Hernandez(1)
  • Sturridge(3), Gerrard(2), Richardson(1)

 An average FPL team was 3 players short this week, a top 10K had one player more. Expected average is 39 points; average score in the top 10K is 50.6 points.

SUMMARY

Random Sample Top 10K
Number of Managers 20,000 10,000
GW26 Average Score 39.5 50.6
Average Points Deducted for Point Hits 0.5 0.7
Players Played per Team (out of 12) 9.1 10.1
Captains Played 93.9% 99.5%
of Which: Vice-Captains 14.3% 3.6%

GAMEWEEK RANK PROJECTIONS

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AVERAGE POINTS DISTRIBUTION

GW26Average

AVERAGE POINTS PER TEAM BY SOURCE OF POINTS

Random Sample Top 10K
Source of Points Points % of the Average Points % of the Average
Minutes Played 17.7 44.7% 19.9 39.3%
Goals Scored 5.9 14.9% 8.1 15.9%
Assists 3.9 9.9% 6.6 13.1%
Clean Sheet Points 8.9 22.6% 10.2 20.1%
Goals Conceded -0.6 -1.5% -0.5 -0.9%
Own Goals and Penalty Misses -0.1 -0.1% -0.0 -0.0%
Red and Yellow Cards -1.1 -2.8% -1.0 -1.8%
Saves and Penalty Saves 0.4 1.0% 0.7 1.3%
Bonus Points 4.6 11.6% 6.7 13.2%
TOTAL 39.5 100.0% 50.6 100.0%

10 PLAYERS CONTRIBUTING THE MOST TO THE AVERAGE

Random Sample Top 10K
Player GW Points Per Average Team % of the Average Player GW Points Per Average Team % of the Average
Sturridge 15 4.8 12.3% Sturridge 15 8.8 17.5%
Fonte 14 3.0 7.5% Adebayor 16 4.3 8.5%
Mertesacker 8 2.4 6.0% Lallana 6 3.8 7.4%
Lallana 6 2.0 5.1% Suárez 2 3.7 7.4%
Suárez 2 1.9 4.9% Mertesacker 8 3.2 6.3%
Ivanovic 10 1.6 4.2% Fonte 14 2.8 5.5%
Adebayor 16 1.5 3.8% Koscielny 9 2.3 4.5%
Koscielny 9 1.1 2.7% Hazard 2 1.9 3.8%
Gerrard 11 1.1 2.7% Ivanovic 10 1.8 3.5%
Shaw 5 0.9 2.3% Collins 15 1.4 2.7%

AVERAGE POINTS PER TEAM BY LINE IN FORMATION

Random Sample Top 10K
Line in Formation Points % of the Average Points % of the Average
Goalkeeper 3.6 9.2% 4.7 9.2%
Defenders 15.3 38.9% 17.0 33.6%
Midfielders 9.2 23.2% 10.4 20.6%
Forwards 11.4 28.8% 18.5 36.6%
Points for Captain 6.2 15.6% 5.2 10.3%
Points on the Bench 1.6 4.1% 1.0 2.1%
Points off the Bench 5.4 13.8% 5.8 11.4%
TOTAL 39.5 100.0% 50.6 100.0%

AVERAGE POINTS BY POSITION

Random Sample Top 10K
Position Points Points
Goalkeeper 3.9 5.5
Defender 6.2 6.7
Midfielder 3.2 3.3
Forward 4.2 6.2
(*) This table only accounts for players who have played positive minutes this week

GW 26 HALL OF FAME

Random Sample Top 10K
Maximum Points 101 points 111 points
Best Defense Line 57 points 61 points
Best Midfield Line 45 points 33 points
Best Forward Line 51 points 51 points
Best Bench 28 points 21 points
Bonus Points Magnet 20 points 21 points

GW 26 HALL OF SHAME

Random Sample Top 10K
Minimum Points 0 points 10 points
Worst Defense Line -1 points 0 points
Worst Midfield Line 0 points 1 points
Worst Forward Line 0 points 2 points
Cards Magnet -6 points -5 points

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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5 comments on “GW 26 Final Results

  1. I’ve been visiting your site for a while now, makes for a great reading!

    One question. Would it be possible to somehow find the rank distribution of FPL players still in the Fantasy cup?

    Thanks!

    • Hey!

      Sorry, but I don’t think it’s possible.

      FPL don’t show any list of teams that are still in the cup until GW33. Right now there are 8,192 teams left in the cup, or 0.26% of all FPL teams. It means that if I do, say, my usual 20K random sample, there would be only around 50 teams that are still in the cup, which statistically would not be enough to make the sample representative. So, to get a more or less realistic rank distribution of FPL teams still in the Cup, I’d need to significantly extend the size of the sample, which would be just too time consuming and too much work for me.

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