#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!
If you are interested in the optimum strategies GKs can employ during 1v1s if they want to maximise their save probability check out the thread below & also keep your eyes peeled for the educational courses that will soon be available on goalkeeper.com!
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!
A GK’s handling ability is vital & often under analysed!
Here #DeGea showed how handling can determine a game’s outcome when he parried a 49mph central shot into danger & the rebound was scored!
xRebound xG = 0.09
Actual Rebound xG = 0.47
xG added due to poor handling = 0.38
My handling model uses historic shot data to gauge how often certain shots should be expected to be caught, parried away from danger, & parried into danger in combination with a none shot xG model which assesses how likely rebounds are to be scored based on the parry location
My model found that due the shot’s lower than avg velocity & central trajectory an avg PL GK would expect to parry the ball into an area which resulted in a goal from the rebound only 9% of the time whereas #DeGea pushed it into an area which results in a goal 47% of the time!
My 1v1 model also finds the smother to be very vulnerable when the 1v1 is central as it often allows the GK to be rounded or chipped plus it does very little to cover the side the GK does not have their hands!
A spread wouldn’t drastically increased the Rambos save probability!
His decision making is good, as he doesn’t engage too soon & only engages once he cannot to react in time to the shot, but his problem is, as always, the way he twists his body away from contact which leaves gaps in his barrier!
My model finds that if #DeGea had engaged the 1st touch the chance would’ve been 0.64 ExG because even though the 1v1 is quite far from goal engaging in that location would make the GK very vulnerable to the chip, sidefoot finish, and being rounded.
Engaging the 2nd touch, as #DeGea does, means the chance is actually 0.42 ExG as even though the 1v1 is closer to goal when the GK engages here there is usually very little space to exploit over, through, or round the GK!