Discover and read the best of Twitter Threads about #gw16

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🧵 Key quotes thread Gameweek 15

💠 Man City

📢 Pep Guardiola asked how close Erling Haaland was to the starting XI: "He's feeling better. He could play but it's not the perfect, ideal situation..."

#fpl #gw15 #fantasypl #FPLcommunity #mcfc #MciFul #teamnews #injuries
📢 Guardiola asked how close Haaland was to starting XI: "...but he's on the bench, in case we need him.

"We will see [how likely he is to get minutes]. The game will dictate what we have to do."

#fpl #gw15 #fantasypl #FPLcommunity #mcfc #MciFul #teamnews #injuries
🐖 Fulham

📢 Marco Silva on Aleksandar Mitrovic injury: "As you know, Mitro had a problem in the last game with the national team [Serbia] - in his ankle.

"Of course we are managing him..."

#fpl #gw15 #fantasypl #FPLcommunity #ffc #MciFul #teamnews #injuries
Read 61 tweets
I think there is a misunderstanding or miscommunication over what an #FPL model is telling us when it makes a points 'prediction'.

Chiefly, the fact that it isn't really a "prediction" but a projection:

🧵
In any given gameweek, a player will have a projected number of points. These are summed over a period of gameweeks for a longer term projection.

For example, from #GW14 to #GW16 these are the points projections for two players, A and B, from @fplreview's Free Model:
However, this does not necessarily mean that the model thinks Player A will score 6.6 pts in GW14 or 15.6 pts from GWs 14-16.

It means that the average return from 1,000s of simulated runs of GW14, and by extension the sum of GWs 14-16, is 6.6 and 15.6 respectively.
Read 16 tweets
#FPLMatchups #GW16
Emile Smith-Rowe
Chelsea wingbacks
Antonio/Bowen
THE ALCHEMIST

Welcome back to my weekly article where I use my coach’s lens to analyze futbol matchups to inform our #FPL decisions.

Data sourced from @FFScout w/ permission and gratitude.
#FPLCommunity
#FPL
I have dearly missed putting articles out recently, so I am very much looking forward to sharing these long overdue thoughts. This week’s article is a combination of a scouting report and matchup analysis. 🧐
I have been working on some of these elements for a few weeks so some of the data may not be of current gameweeks, but I believe the concepts still apply.
Even when I am unable to publish an article, these ideas are always discussed weekly on @NetThatHaul.
youtube.com/c/NetThatHaulF…
Read 38 tweets
#FPL Captaincy has been hard this year. I’m scoring 12.53 Captain points on average per gameweek this season. It's under my target but still decent. Here is my breakdown of Captaincy numbers for my 4 players from my squad that I’m interested in captaining #GW16
Shout out to @DhillonAjit @YogiFPL @BumblebeeFpl who have asked me about my opinion this gameweek.
Here are my percentages of likelihood for at least one return:

🏆Mané: 62.9
🥈Vardy: 59.7
🥉KDB: 55.8
4⃣Tammy: 41

The rest of the thread explains how these numbers were reached.
Let's go through a couple of interesting metrics.

1) One of the metrics I consider is actually whoscored's prediction of how the game will end in exact goals for both teams. I don't know how they come to their conclusion but they have been very accurate...
Read 7 tweets
How I went from 1 MILLION to 23k in 7 weeks in #FPL

If your interested read on, if not no worries.
#GW1 “A strategy in place”

Kept an eye on preseason games & formulated what I thought was a solid strategy based on players form from last season (BIG mistake)

Decent start with 68 pts
#GW2 to #GW8 “Abandoned Strategy”

The World Cup with late returns, lack of fitness, PL team selection chaos played havoc on my #FPL team.

Time for a re-think & major surgery.
Read 31 tweets
A long thread looking at #FPL captaincy strategy between game weeks 17 & 22.

Aim is to highlight the best captaincy choices to target the weakest defences to maximise your points potential.

If you find it useful please give it a ❤️ and a ♻️ to share with the #FPLCommunity
First, let’s look at the worst 5 teams in defensive statistics:

Shots conceded in the box (avg. per game)

BUR (12)
FUL (11)
BHA (10)
NEW (10)
CAR (9)

Chances conceded from set pieces

NEW (5)
BHA (5)
BUR (4)
CAR (4)
TOT (4)
Defensive stats cont.

Big chances conceded (avg. per game)

BUR (3)
FUL (3)
NEW (3)
CAR (3)
WHU (2)

Based on a combination of these defensive stats I’ve ranked the “top” 5 defences to target:

1️⃣BUR
2️⃣FUL
3️⃣NEW
4️⃣BHA
5️⃣CAR
Read 19 tweets

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