Data driven? 🩼

[IJN]

I must admit, when I first heard of it I was dubious but now I'm coming around to it.

BUT, and here's the big but, are we also including injury stats in this?

The injuries to Bolton, Galloway and Miller seem to suggest it's missing from our criteria hunt.

To be cynical about it, I do wonder how many thousands have been lost to us taking the risk.

 

[Tugboat]

Yep, the only possible saving grace I call an think off is the club offering contracts that give a modest base salary for injury prone players, largely subsidised with bonuses on playing time etc.

It would be unspeakable to offer Miller a similar structure to a player like Edwards who is fit for 85% of a season.

Miller and Bolton are very concerning. Galloway was a little more freak but we must be structuring in to contracts the possibility of these types of players living up to there previous injury prone status's.

 

[saxman]

Anyone know if we are covered by insurance for loss of availability of a player due to injury?
If so then the financial hit would be softened although we will miss what those players bring to the team.

 

[xmastree]

Anyone know if we are covered by insurance for loss of availability of a player due to injury?
If so then the financial hit would be softened although we will miss what those players bring to the team.

I can't believe we would be insured on that. The premiums would be astronomic in the knowledge that every participating club would be making claims in the course of the season. They'd probably exclude the likes of Galloway and Miller anyway.

The insurance industry makes its money from those that cover themselves and don't claim. That has to (significantly) exceed what they pay out in claims. I can't see how that works in this instance.

 

[The Doctor]

I think a player’s injury record will certainly be factored into the data analysis because this will look at performance level above the level you would expect for a player of a given value. The trick is not to identify the best players (that’s relatively easy) but, rather, to identify players who offer good value for the amount they will cost. And the amount they will cost will be relatively lower if they are injury prone.

 

[oldage]

I asked a similar question on another post today. Does the data analysis highlight how “hard “a player is .We seem to lack players who are prepared to get “stuck in” when the going gets tough.

 

[Penmaster]

I think a player’s injury record will certainly be factored into the data analysis because this will look at performance level above the level you would expect for a player of a given value. The trick is not to identify the best players (that’s relatively easy) but, rather, to identify players who offer good value for the amount they will cost. And the amount they will cost will be relatively lower if they are injury prone.

If that was the case then it wouldn't make sense to send Ryan Law out on loan till the last day of the transfer window. Both our left wing backs are talented (in different ways) but they are both injury prone.

Its fine applying statical data to signings but do we consider the statistical data of our own players when making signings? It surely is a risk to let RL go out on loan when one of our LWBs is injured and the other is extremely injury prone.

 

[Railway sleeper]

I must admit, when I first heard of it I was dubious but now I'm coming around to it.

BUT, and here's the big but, are we also including injury stats in this?

The injuries to Bolton, Galloway and Miller seem to suggest it's missing from our criteria hunt.

To be cynical about it, I do wonder how many thousands have been lost to us taking the risk.

“Data analytics” It sounds good doesn’t it? But is it anything really different to what Bernie Godwin did all those years ago watching Chorley play ( and presumably making notes on the back of a fag packet 😉).

New name, old idea. There’s nothing new under the sun. Just a smart new name for something Argyle have been doing for decades IMO.

 

[oldage]

If all clubs use data analysis doesn’t it mean a number of clubs are after the same players which could inflate transfer fees?

 

[Superguy]

Argyle would look at scouting reports, data analytics and do due diligence background checks on a potential players to determine their character, background and personality. They would also have full medical records before completing a transfer.

It’s risk v reward with Argyle due to our budget and location - and the fact we are a League 1 club meaning we have to sometimes take a punt on a very good, but potentially injury prone player. If they weren’t injury prone, we wouldn’t get a sniff of a chance of signing them.

i am confident in Argyle’s talent identification and recruitment strategy. Neil Dewnship knows what he is doing on that front and has a very modern and effective approach.

 

[Ross]

If all clubs use data analysis doesn’t it mean a number of clubs are after the same players which could inflate transfer fees?

It's one thing capturing data but its something very different to interprate it.

I'm fairly sure it was reported that Dan Scarr was recruited off the back of data analytics and that he was under valued. Poor Lukaku still isnt over it

 

[Green as Grass]

“Data analytics” It sounds good doesn’t it? But is it anything really different to what Bernie Godwin did all those years ago watching Chorley play ( and presumably making notes on the back of a fag packet 😉).

New name, old idea. There’s nothing new under the sun. Just a smart new name for something Argyle have been doing for decades IMO.

I think you mean Verdi Godwin who was the scout who spotted Paul Mariner playing for Chorley and finally after quite a lot of persuasion managed to get Tony Waiters to sign him for Argyle.

 

[Koala Green]

Just stating our recruitment relies solely upon data is probably an over simplification. My understanding is it is a key tool in finding those needles in the haystack that fit our specific criteria for players.

So the data analysis is a tool (from a broader recruitment toolbox ) that can scale the narrowing down of targets, unearth new ones, compare players stats etc. I imagine this is a big time saver for a club that don’t have the scouting resources to do this in person. We are also competing against many clubs using similar techniques. Once we have our shortlist I am sure there are then all sorts of checks/ filters to look at injuries, wages, personality (no Kb/head policy ) etc. The decision on injury prone players will probably be a decision viewed through a risk process, where we balance getting good quality / lower wages vs potential availability issues. Maybe we tolerate having 2-3 injury prone players in the squad and hope they pay off ? We as a club are not alone in having such injury challenges. There are numerous examples in the EPL this weekend e.g. West Ham and Liverpool to name two.

 

[GreenEden]

I think you mean Verdi Godwin who was the scout who spotted Paul Mariner playing for Chorley and finally after quite a lot of persuasion managed to get Tony Waiters to sign him for Argyle.

Didn't know that but love the fact that someone called verdi Godwin or Green God found arguably our best ever player ! Sounds like a football manager regen name that one !!😁

 

[Green as Grass]

Didn't know that but love the fact that someone called verdi Godwin or Green God found arguably our best ever player ! Sounds like a football manager regen name that one !!😁

This is him https://en.m.wikipedia.org/wiki/Verdi_Godwin