Things will almost certainly get better - not necessarily because of Pep, but just regression to Pep's mean. When I hear commentators say "Pep's figured it out", I'll try to keep in mind that any season of any club necessarily has wild ups and downs, regardless of manager.
The bright side of City's terrible form is that it inspired me, for the first time in a long time, to put together a little data vis project!
You don't need the graph to know how bad things are, but I think it puts it in perspective compared to previous within-season variation.
As a modern City fan, I've experienced the highest possible highs during Pep's valiant fight against the inherently chaotic bounce of a soccer ball - so I would have no right to complain if we have a couple *seasons* of this, let alone two months of this.
While I did find evidence to support my preconceived notion of "extra time is boring", I found it with faulty assumptions.
I find: Conditioned on getting there, goal scoring actually increases in extra time! (and, more importantly... always check your statistical assumptions!)
After watching a number of World Cup games go to extra time and then penalties, I wondered... is there evidence for a difference in goalscoring rate in regulation versus extra time?
Using FBRef data over the last two cycles to investigate, I found interesting results. (Thread!)
Avoiding those assumptions (as the data suggests we should) limits our sample to a paired test exclusively on the games which went to extra time. And on these games, we draw an entirely different conclusion; goal-scoring rate increases in extra time!
@AndreAndersson4@osynligahanden Also consider City have won the title with much lower percentages pre-Haaland. 16% in the last two seasons for KDB and Gundogan as top scorer, right about where Munich are on this graph.
An oft-recited cliche is that teams need a "proper number 9" to find success... but the data doesn't support this! Using data from the top 5 European leagues this year, I find no relationship between share of goals for team's top scorers and points per game.
@AndreAndersson4@osynligahanden This is true; but it is worth noting that all but one of the runner-ups and the (eventual) Bundesliga champ are in this low % cluster.
@skylanderr5@iMiaSanMia@SkySport Thanks for the inspiration! Check out my latest post... it can't be quantified particularly whether a team is playing with a "#9" at any given time so I proxy it with share of goals for top scorer. Doesn't seem to matter to points per game.