Best Of
Re: Rumour Mill
On the playing side other than Morley who was pretty unique we've kept everyone we wanted to and made some promising signings.
No question though that replacing the "Manager / Head Coach" and introducing a whole load of different players, several of whom aren't nearly match ready will bring it's own complications. He needs to get them up to speed, get to know them all and forge a new way, ideally before dropping out of the top two.
No easy task but the upside is massive if we can do it, and maybe not taking some bids for the king that would have been unthinkable to turn down in previous years is the biggest win of the month.
Re: Will Norris signs
Well yeah, they might as well stretch it out - it's one of the biggest days of the year for engagement
Re: Rumour Mill
Funny how people were dreading this window and claiming how weak we would look in February.
I said in September it was the strongest Wycombe squad I’ve ever seen. It is now even stronger and I’d say we can now field the best Wycombe starting eleven I’ve ever seen.
Re: Rumour Mill
All I’ll say after that late business last night concluded activity is that we’ve had worse transfer windows.
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Re: Rumour Mill
This is now the squad strength…
NORRIS (Ravizolli, George)
GRIMMER (Back, Pattenden), LOW (Skura), TAYLOR (Bradley, Hagelskjaer), HARVIE (Reach)
SIMONS (Bakinson), SCOWEN (Westergaard, Leahy), HUMPHREYS (Lowry)
ONYEDINMA (McCleary, Kodua, Wheeler), KONE (Vokes), UDOH (Lubala, Berry, Sadlier).
Apologies to any I’ve missed!
Re: Rumour Mill
Just catching up. Some madness.
Good luck to the new coach working the best team out.
Though he's bought some time by seemingly a lot of them having not played for a while.
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Re: Rumour Mill
At a quick head count our squad includes eleven non-white players so I see no reason for concern.
Re: Rumour Mill
One striking thing about this picture is we appear to have signed 12 players this month who are all white. I only mention this as one of the big criticisms of AI at the moment is that it is trained on data that favours white men (overwhelming the people doing the programming and historically the people who most of literature is written about). It's a particular issue in medicine but it's important to be on guard in other areas too to make sure data sets don't discriminate.
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