FPL Poker Tables GW9

Last week I conducted a review of rolling data to see what trends have emerged during the early stages of the current season. Many were identified, and I recommend using that blog as a reference point before making any transfers in the near future. Of more immediate relevance to these FPL Poker Tables blogs, however, was something that became abundantly clear during the course of that exercise. Namely, the inaccuracy of the initial weightings given to the promoted sides in terms of their attack and defence strength at home and away.

In only two out of a possible twelve instances were my initial best guess weightings found to have overestimated how much more difficult LEE, WBA and FUL would find life in the Premier League. The two exceptions were the home attack strength of LEE, and away attack strength of FUL, which have both fared better in xG terms than anticipated.

Consequently, my model has had to play catch-up since the start of the season, constantly modifying its evaluation of these teams’ true capabilities. Inevitably, this has had knock on effects on the accuracy of my spreadsheet’s predictions thus far. And this is why I’ve generally not published my spreadsheet’s predictions before the second international break in years gone by.

The subtext here is a plea for your patience whilst waiting for my model to reach equilibrium. In truth, I never expected that to occur before GW16 anyway, because only then will my model be drawing exclusively* on data drawn from this season. [*Except for one home game each from last season for BUR and MCI, and one away for AVL and MUN, because of their GW1 blanks.]

Thereafter, the results could be well worth waiting for though, if last season is anything to go by, when I secured seventeen successive green arrow gameweeks in a row, climbing ~4.2 million places in the process!

As stated previously, another complicating factor for my model this season has been the ridiculously high number of penalty kicks being awarded (41 so far compared to 19 during the same period last year), and this is a theme that appears repeatedly this week.

Supporters of SHU were warned last time of a potentially devastating storm by the name of Chelsea headed their way, and so it proved, with the Blues succeeding in living up to their star billing in my last expected goals table where they were predicted to score 3 goals.

This time around, there are no teams predicted to score 3, and only five teams (WHU, LIV, BUR, MCI, CHE) deemed more likely than not to score at least 2 goals in GW9.

Not for the first time this season, BUR sound the dubious prediction klaxon, which is probably due to them ending last season in uncharacteristically attacking fashion once safety from relegation was assured. As I pointed out in my 2019-20 season review of rolling data blog, this came at the expense of their defensive process, and it was always likely that Sean Dyche would revert back to type at the start of a new season. BUR have only played twice at home so far this season, which means three quarters of the data used by my algorithm dates back to the ReStart period when they were playing a much more cavalier brand of football. It will take a few more home games for my model to realign to the new reality, but I expect the downward trend in the Claret’s home attack strength ratio shown in the graph below to continue.

BUR attack strength weighting reverting back to its pre-lockdown mean

I have a confession to make about the BIG mistake I made last week when I rounded down my spreadsheet’s prediction of THREE goals for CHE to two, and TWO goals for MUN down to one, in the Correct Score Forecast table last week. I have to hold my hands up here to being too trigger happy with a new concept I was in far too much of a hurry to roll out. Namely, the significance I attached to the xG difference between teams playing against each other. With hindsight, I was likely swayed by a desire to justify rounding down the 2 goal forecast for WBA (vs TOT) that I felt embarrassed about.

I did the same with WBA in GW7 too, and the outcome vs FUL seemed to vindicate the policy. There is a simpler explanation for my model overvaluing the WBA attacking strength though, which is they started the season with an overly generous interpretation of their Championship form last year, and it’s taking time for that flattery to fully filter out. WBA have really struggled away from The Hawthorns and, as the graph below shows, their away attack strength weighting has been in freefall since the season began.

For what it’s worth, there are 3 matches in GW9 with insufficient predicted xG difference between the teams to credit one of them with a goal advantage, but I will not be repeating last week’s mistake, and the 2 goals that CHE, MCI and LIV are predicted to score will be allowed to stand (see table below).

GW9 correct score forecasts

My predicted players points table last week had Fernandes (17), KDB (5), Werner (7), James (2), Kane (9) and Chilwell (8) occupying the top 6 places, and averaging 8 points between them, so which players are ranked highest for GW9?

The table below shows how many points players are expected to get on average (excluding bonus points, and yellow/red cards). The red ‘P’s indicate where predicted scores have been inflated by the effects of recent penalty kicks, and the numbers in the column to the right of expected points show what these scores would have been if the distorting effects of penalties are removed. In other words, these are the average expected points assuming there are no opportunities to score from the penalty spot.

Kane maintaining his 100% appearance record

Last week’s table was dominated by players from big clubs, whereas this week’s sees greater representation from smaller clubs. Also, there are are only ten players over my 5 points threshold this week, albeit partly because of coronovirus and injuries. I’d have been bullish about Antonio‘s captaincy credentials but for his recent hamstring injury, while Wood‘s elevated position is suspect given the probable overestimation of Burnley’s home attack strength alluded to earlier. Vardy‘s prominence owes more to penalty kicks than is the case for Watkins or Zaha, who both feature in this table for the first time. Grealish is another new name for us to consider when looking at My Stats Tables in Fantasy Football Scout’s Members Area and, judging from my predicted players points table for the next 4 gameweeks (see further down), he might be set to feature regularly from now on.

The 7 teams with representation this time are WHU, LEI, BUR, AVL, CRY, TOT, LIV and EVE, and 5 of them make up the top 5 for taking fewest minutes per xG accrued in my Team Offence table below:

5 best teams for mins per xG

Because of the dramatic increase in penalties this season, however, I checked how it would affect the rankings if teams were sorted by non-penalty xG (on target) instead, and the table below shows how doing so changed things. Unsurprisingly, given the preposterous number of penalties they have already benefitted from, LEI are the main casualty of this measure, dropping from third best to eighth.

8 best attacks for non-penalty xG

EVE slip a couple of places, while AVL hold steady, and TOT exchange places with LIV at the top of the table.

The only teams not in the top half of the table above are WHU, BUR and CRY, which counts against Antonio, Wood and Zaha. The last two named are set to face each other at Turf Moor, while Vardy and Mane do so at Anfield. The 4 teams our remaining captaincy contenders face are SHU, BHA, FUL, and MCI, so bear them in mind as we turn our attention next to my team defence table.

7 worst defences by mins per xG conceded

At first glance, the table above arguably puts Wood back into the picture, but notice CRY have conceded 3 penalties (including the egregious one given against Ward in the 89th minute, which deprived my FPL team of his clean sheet points!). So I checked again how sorting teams by a metric that excluded penalties would affect the rankings, and the result of doing so (see table below) sees Palace go from second worst to a much less damning ninth worst. Either way, SHU remain in the bottom 3, and FUL in the bottom 5, which bodes well for Antonio (if fit), and James Rodriguez. And by extension, Calvert-Lewin.

9 worst defences for non-penalty xG conceded

LIV climb out of the bottom half of the table now, while LEI and AVL come in. The ranking of fourth worst for the last named might come as a shock to Martinez owners.

More pertinently though, you will note that the defences of BHA, MCI, and BUR are conspicuous by their absence in either table, and this is because they rank in the top 6 teams sorted by non-penalty xG conceded (first, fifth and sixth best respectively), which is unwelcome news for any would-be captainers of Grealish/Watkins, Zaha, and Kane/Son.

I turn next to my xG and xA tables to see if they can revive or solidify interest in any of the players under the microscope. Usually I sort my Players xG table by Minutes Per xG but again, because of the distorting effects of penalties, I’ve elected to sort by non-penalty xG instead this week, and the captaincy case for Kane, Watkins, Mane and Vardy is strengthened by their inclusion in the 7 player shortlist below. I’d much prefer this metric be ratioed for minutes played by the way, but that option isn’t currently available alas.

7 player shortlist for non-penalty expected goals table

The case for Captain Jack rests more on his creative output than his goal threat, and he is top of a very short shortlist of players meeting the criteria for a place in my expected assists table. Rodriguez strengthens his case for differential captain consideration too.

Only 2 players qualify for my expected assists table

Consulting these tables proved really helpful to me in the past few weeks, in terms of identifying the best captain, but this gameweek not so much. Truth be told, I’m no clearer now about the best option this week than I was beforehand. Vardy and Rodriguez would be major considerations for my armband if I owned either. The choice for my team will be between Grealish, Kane and Werner.

Players from MCI and CHE were unusually absent from my predicted players points table, and understandably so in the case of the former, but with CHE ranked 5th best for non-penalty xG in my team offence table, and NEW 6th worst for non-penalty xG conceded in my team defence table, a case can certainly be made for either Werner or Ziyech, albeit neither feature in my players expected goals or assists tables.

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There were 3 defenders in the predicted players points table last week, but only Tarkowski this. Yet another Burnley player whose lofty position ought to be treated with caution though, given the previously discussed probable overvaluation of their team’s home attack strength.

That said, BUR are the only other team alongside WOL deemed more likely to concede zero goals than one (see table below). There were 4 such teams last week, with 3 of them (WHU, LEI and BHA) obliging with clean sheets. Unlike last week, however, there are no teams deemed more likely than not to keep a clean sheet in GW9.

>36.7% highlighted in green because conceding 0 goals is more likely than conceding 1

Longer term, my Clean Sheet Probability table (see below) has been signaling for some time the arrival of MCI as the best defence to be invested in from GW10 onwards, and I have been banging the drum for Cancelo since before the season began. Not only was he singled out preseason in my backline bonus magnet blog as the best Sky Blues defender to own, but he been one of the Citizen’s most attacking outlets in all of his appearances so far. Against him is the availability of Zinchenko, and imminent return from injury of Mendy. There’s no question in my mind that the Portuguese is first choice, but rotation remains an ever present risk in the game of ‘Pep Roulette‘.

Leading 8 teams for clean sheets over the next 6 gameweeks

LEI were singled out last week having moved up into 3rd best in my model’s projections for the next 6 gameweeks, courtesy of 2 good clean sheet prospects in their next 3 games (GW8 & 10). With the first of those clean sheet banked, however, they slip back down a couple of places.

Belatedly, BUR make their first appearance of the season in the table above with 2 good clean sheet prospects in their next 3 games (3 in the next 6), but these only raise them up into 8th place, due to how unlikely the chances are in the other games, but that matters not if we are benching the likes of Taylor for those.

After this gameweek, it will be the turn of ARS to have 2 good clean sheet prospects in their next 3 games.

Looking further ahead with regards to players predicted points, the table below shows the expected top dozen points scorers over the next 4 gameweeks. The attacking triumvirate of Watkins, Grealish and Barkley really catch the eye here with their debut appearances in this table coinciding nicely with a favourable fixture swing for AVL.

My 6GW spreadsheets with sortable columns are available for purchase at a ‘cheap as chips‘ cost of £2 each, or the heavily discounted price of £30 for a season ticket. Please feel free to DM me any questions you may have about acquiring your own copies, or click here to go directly to my PayPal link.

That’s all for now, folks. May the GW9 flop be with you.

Coley a.k.a. FPL P0ker PlAyer @barCOLEYna

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