Today I’ll breakdown #DeGea’s performance in the #PremierLeague using my bespoke GK models!
The headline is for the first time in 3 seasons #DeGea’s shot stopping skills are outweighing his weak shot prevention skills & thus far he has saved #MUFC ~5 additional goals!
Shot Stopping:
#DeGea’s shot stopping has been world class, my model predicts he has saved #MUFC ~5 goals more than an average #PL shot stopper would’ve thus far!
The goalmouth map highlights just how hard #DeGea has been to beat, if you don’t hit the corners you won’t score!
Shot Stopping:
His Best 3 Saves (Lowest ExSave Saves Made) are below 😮:
1. 24% Save Probability vs Jesus
2. 34% Save Probability vs Almiron
3. 42% Save Probability vs Pukki
They highlight #DeGea big strength, his reflexes & ability to cover huge amounts of the goal area.
Shot Stopping:
His Worst 3 Goals Conceded (Highest ExSave Goals Conceded) are here 😔:
1. 91% Save Probability vs ESR
2. 84% Save Probability vs Pedro
3. 63% Save Probability vs Salah
They highlight #DeGea’s issues if he fails to sort his feet out, especially at the near post
Handling:
#DeGea’s handling has presented the opposition with 0.5 more ExG than the avg #PL GK would be expected to given the shots he’s faced, but his handling has been solid & if the poor parries vs #WWFC & #LCFC are removed his handling has prevented #MUFC 0.8 ExG in rebounds
Handling:
I don’t think #DeGea’s handling is something he needs to work on & it hasn’t been a consistent problem in the past few years so I think with a larger sample size his numbers should improve given they are driven by just 2 poor parries!
My model predicts he has saved #MUFC ~2 goals more than an average #PL shot stopper would’ve thus far!
His calmness when facing long range 1v1s has been excellent & he has consistently given the striker the hardest finish!
1v1 Stopping:
I do worry that #DeGea’s close range 1v1 level isn’t sustainable & could drop off & given it is only average at the moment that could cost #MUFC goals!
DDG has relied on his reflexes to make 4 of the saves rather than engaging which my model finds is suboptimal!
Cross Claiming:
As usual #DeGea’s cross claiming performance has been well below average.
My model finds that while he often catches & rarely misses the ball he is far too inactive & thus has only prevented ~0.15 ExG per game due to claims (0.10 ExG lower than an avg #PL GK!)!
Again while he is very tidy when he does come off his line my model finds he has prevented just ~0.05 ExG per game due to sweeps (0.05 ExG less than an avg #PL GK), so again his poor output is driven by a lack of activity!
Conclusions:
Overall #DeGea has been worth +0.33 goals per game for #MUFC this season
While his shot prevention remains down their with the worst goalkeepers in the #PremierLeague his excellent shot stopping has meant he has had a positive influence on #ManchesterUnited
Conclusions:
This is the first time in 3 seasons where #DeGea’s actually been an overall above avg GK:
Regarding the claim that #DeGea is the GK of the season:
Not for me (not just yet anyway).
It is important to note that GKing is more than shot stopping & here are #Ramsdale’s numbers a GK who is performing at +0.44 goals per game above average thus +0.11 more than #DeGea!
Thank you everyone for taking the time to read all this & a happy new year!
I will do a similar thread to this for #Alisson in January, I think Ali is having an excellent season & his performances aren’t talked about enough due to a recent drop in form over the past month!
Also what is going on with the left side of #MUFC’s defence?
A huge fraction of the 1v1s #DeGea has faced this season have come from the space between the left back & the left centre back, I am not sure if teams just attack that side more or if that side is just much weaker?
If you are interested in the shot prevention model here is a thread that outlines the model in full with lots of handy breakdowns & match footage!
Has #Ederson turned a corner regarding his issues with long range 1v1s?
Yesterday he positioned himself perfectly inside his 6yrd box during this long range 1v1 thus allowing his defender to pressure the ball while maximising the finish difficulty for the striker!
#SOUMCI #MCFC
#Ederson highlighted how waiting deep is not a passive strategy!
As GKs should only wait deep until the CF gets close enough that the GK will not have enough reaction time to make a save, which is what #Ederson did as he rushed & smothered once the CF was within 14yrd of goal!
#Ederson has had huge problems with 1v1 situations like these in the past as he has rushed out too soon & found himself at the PK spot (rather than the 6yrd box) which gifts the opposition CF simpler finishes like chips & sidefoots while also not allowing his CBs to get back!
If #DeGea had rushed out to engage this touch he would’ve turned a 38% goal probability chance into a 61% goal probability chance as MA could’ve easily rounded him or chipped him!
By waiting he dictated the 1v1 to MA & made him make a decision, MA chose to take another touch…
Rather than continuing to stay deep #DeGea realised that now MA was close enough that his reaction time may not be enough to save the shot so he rushed & formed the premeditated block barrier reducing the goal probability to 34%!
#Karius made 8 saves vs #MUFC, but GKing is about quality not quantity!
5 of the saves had xSave>99% thus #PremierLeague GKs save them every time!
The 2 interesting & difficult saves were the 1v1 vs #Bruno & #Weghorst’s long range shot! Which beat #PL GKs 41% & 29% of the time!
It was these saves whose difficulty outweighed the 2 goals #Karius conceded meaning #Karius saved an above expected amount of shots in the #LeagueCupFinal
#Karius could do nothing with the #Casemiro goal (xSave probability<5%) but the #Rashford goal was a little more interesting
#DeGea made the save look easy & made the save far easier for himself due to his top class decision to hold deep & then use his top hand. This made a difficult situation comfortable!
The GK xG model shown above looks at every shot faced, pass received, cross faced & through ball faced & calculates the probability of a goal occurring for & against the GK’s team before the event & after the event occurs!
Thus it measures & evaluates every action a GKs makes!
This allows all GKs to be given a single number measured in goals called
“Total Value in Goals”
Which describes the GK’s value to their side vs having a league average GK & takes into account everything they do meaning GKs of vastly different styles can be fairly compared!
When receiving the ball under pressure, both #Chelsea GKs have been below the #PremierLeague standard!
#Mendy has cost #CFC 0.52 xG more than the avg #PL GK would be expected to if they received the ball in the same situations (this is heavily influenced by his mistake vs Leeds)
Similarly #Kepa has cost #CFC 0.59 xG more than the avg #PL GK would be expected to if they received the ball in the same situations as he did in his last 15 #PremierLeague games, #Kepa’s numbers here are heavily influenced by his mistake vs #Liverpool which #Mane capitalised on!