Please welcome to the intermediate results of GW 30 with bonus points according to the BPS. Expected average is 21 points. Average score in the top 10K is 26.8 points.
SUMMARY
|
Random Sample |
Top 10K |
| Number of Managers |
20,000 |
10,000 |
| GW30 Average Score |
21.2 |
26.8 |
| Average Points Deducted for Point Hits |
0.6 |
1.5 |
| Players Played per Team (out of 12) |
6.2 |
7.6 |
| Captains Played |
31.7% |
47.5% |
GAMEWEEK RANK PROJECTIONS
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AVERAGE POINTS DISTRIBUTION
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 |
11.4 |
54.1% |
14.3 |
53.3% |
| Goals Scored |
4.1 |
19.2% |
5.0 |
18.7% |
| Assists |
2.2 |
10.6% |
2.5 |
9.5% |
| Clean Sheet Points |
2.7 |
12.6% |
2.8 |
10.5% |
| Goals Conceded |
-0.9 |
-4.0% |
-1.0 |
-3.6% |
| Own Goals and Penalty Misses |
0.0 |
0.0% |
0.0 |
0.0% |
| Red and Yellow Cards |
-0.8 |
-3.6% |
-0.3 |
-1.2% |
| Saves and Penalty Saves |
0.3 |
1.2% |
0.5 |
1.8% |
| Bonus Points |
2.1 |
10.1% |
3.0 |
11.3% |
| TOTAL |
21.2 |
100.0% |
26.8 |
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 |
| Coleman |
11 |
3.7 |
17.6% |
|
Coleman |
11 |
6.3 |
23.6% |
| Yaya Touré |
6 |
2.7 |
12.5% |
|
Yaya Touré |
6 |
4.2 |
15.8% |
| Rodriguez |
7 |
1.3 |
6.2% |
|
Hazard |
2 |
2.4 |
8.9% |
| Lambert |
11 |
1.2 |
5.6% |
|
Mannone |
10 |
2.2 |
8.1% |
| Hazard |
2 |
1.1 |
5.0% |
|
Rodriguez |
7 |
1.4 |
5.3% |
| Zabaleta |
5 |
0.9 |
4.5% |
|
Lukaku |
2 |
1.0 |
3.6% |
| Silva |
14 |
0.7 |
3.2% |
|
Lallana |
1 |
0.8 |
2.9% |
| Dzeko |
6 |
0.4 |
2.0% |
|
Ivanovic |
2 |
0.7 |
2.4% |
| Ivanovic |
2 |
0.4 |
1.8% |
|
Lambert |
11 |
0.6 |
2.2% |
| Mannone |
10 |
0.4 |
1.8% |
|
Silva |
14 |
0.6 |
2.1% |
AVERAGE POINTS PER TEAM BY LINE IN FORMATION
|
Random Sample |
Top 10K |
| Line in Formation |
Points |
% of the Average |
Points |
% of the Average |
| Goalkeeper |
1.8 |
8.4% |
3.6 |
13.4% |
| Defenders |
7.7 |
36.2% |
10.2 |
38.2% |
| Midfielders |
7.7 |
36.2% |
9.7 |
36.1% |
| Forwards |
4.1 |
19.2% |
3.3 |
12.4% |
|
|
|
|
|
| Points for Captain |
2.0 |
9.7% |
2.3 |
8.6% |
| Points on the Bench |
5.4 |
25.7% |
6.5 |
24.4% |
|
|
|
|
|
| TOTAL |
21.2 |
100.0% |
26.8 |
100.0% |
AVERAGE POINTS BY POSITION
|
Random Sample |
Top 10K |
| Position |
Points |
Points |
| Goalkeeper |
3.5 |
4.4 |
| Defender |
3.4 |
3.9 |
| Midfielder |
3.0 |
2.9 |
| Forward |
4.8 |
4.4 |
| (*) This table only accounts for players who have played positive minutes this week |
GW 30 HALL OF FAME
GW 30 HALL OF SHAME
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.
FPL Discovery 