Blades manager win %

[grafikhaus]

At a rough guess, i'd say Bassett was at 38.07% win ratio.

...which would put him below Adkins. Stats., eh? I'm working on DB but it looks even lower than that.

Anyway, it's Wine O'Clock so I'll finish it off later. Just don't believe a word of it!

 

[Nicolaus_Copernicus]

...which would put him below Adkins. Stats., eh? I'm working on DB but it looks even lower than that.

Anyway, it's Wine O'Clock so I'll finish it off later. Just don't believe a word of it!

 

[grafikhaus]

I only use league stats. and - although Adkins shows a 'better' win % than DB, his hopeless only season with us was just 46 games, DB managed us for 338 league games, so a far bigger sample size. Then you have Weir, McEwan, Adams etc. who were fucking hopeless. (Weir 'managed' us for just ten games. If he'd fucked off after the first game - v. Notts County - he'd have a win % of 100%. As it was, his stellar record was P: 10 W; 1 D: 2 L: 7 Pts. 5.)

So far:

Wilder: 54.46%
Wilson: 51.72%
Spackman: 45.45% (only 33 games, tho').
Clough: 44.3%
Blackwell: 43.52%
Warnock: 42.53%
Adkins: 39.13%
Bassett: 37.57%

Dunno if I'll bother with John Harris, Furphy etc. Different times etc. Also, some managers had to clear up a load of shit that the previous manager left behind - as CW did, some had far bigger budgets (Robson) etc. I enjoyed (most of) Warnock's time here, am loving CW but DB will always be my favourite. Many happy times, not least the first manager to win the first game in the PL - August 15, 1992 where Brian Deane scored the first-ever PL goal.

In vaguely date order



Anyway, back to the wine. Brian The Blade is calling me from his conservatory.

 

[SUFC Guy]

in this order....







or



Sorry, the 3rd is the closest that I could get

 

[Mark Hammond]

Steve Bruce (10 games) 40%.

 

[Mark Hammond]

One more send shivers down my spine.
Adrian Heath 30%.

 

[I should coco]

Steve Bruce (10 games) 40%

Eh?

He managed a full season (before he ran away crying to Uddersfield for more money):

Managerial statistics[edit]
As of match played 22 September 2018
Managerial record by team and tenure
Team From To Record Ref.
P W D L Win %
Sheffield United 2 July 1998 17 May 1999 55 22 15 18 40.0

 

[Sothall_Blade]

Answer later tonight.

Well I was waiting for the official answer before I dug the old spreadsheet out.
But here's one I prepared earlier (includes cup games):-

 

[coaxingstar71]

Much as I love a stat, I'm not sure what this tells us. If you look at Wilson v Bassett for example. Wilson's tenure was in League 1 when we were supposed to be the favourites for automatic promotion each year, needing to beat the likes of Yeovil and Stevenage ( no disrespect to those clubs), whereas Bassett not only achieved back to back promotions, he then kept us in the top league for 4 seasons (including the one we got relegated) with eff all money having to compete with the likes of Man Utd and Arsenal. Obviously finishing bottom half of the Premier is going to affect your % but I'd still say that's more of an achievement than finishing 5th in League One.

 

[Cerberus Blade]

That’s where stats fall down when you compare apples with pears.

Wilder is the best though imo. I also liked the football under Wilson and Kendall. (And Harris of course).

Basset was a great manager too. The football was exciting but very one-dimensional and became a bit predictable towards the end. It served a purpose though at the time and got us where we needed to be.

 

[Mark Hammond]

Your right, what an idiot am I? Steve Bruce played 10 games. A season as manager.

 

[SB_90]

I'll take a punt on his. Might be way off

Wilder
Spackman
Wilson

 

[Basing Blade]

Its
Wilder 53.4%
Wilson 51.89%
Clough 47.12%
Spackman 46.51%

 

[Pierre's PC]

Its
Wilder 53.4%
Wilson 51.89%
Clough 47.12%
Spackman 46.51%

I'm officially wet

 

[Sothall_Blade]

Its
Wilder 53.4%
Wilson 51.89%
Clough 47.12%
Spackman 46.51%

I have Wilder as 53.10% (60/113)
Otherwise they're the same as mine but not rounded up to nearest whole number.

 

[coolhandluke]

That’s where stats fall down when you compare apples with pears.

Wilder is the best though imo. I also liked the football under Wilson and Kendall. (And Harris of course).

Basset was a great manager too. The football was exciting but very one-dimensional and became a bit predictable towards the end. It served a purpose though at the time and got us where we needed to be.

An interesting problem but one that's easily overcome .

The variance and the closely-related standard deviation are measures of how spread out a distribution is. In other words, they are measures of variability.

The variance can be computed as the average squared deviation of each number from its mean. For example, for the numbers 1, 2, and 3, the mean is 2 and the variance is:

.

In other words a comparison between Bassett and Wilson whilst not apples and pears is problematic. But .....

where μ is the mean and N is the number of wins for them both you can already see a variant pattern emerging .

When this variance is computed in a sample the statistic finally shows what we were all thinking .

In other words N (where M is the mean of the sample) can be used. S² is a biased estimate of σ², however. By far the most common formula for computing variance in a sample is:

which gives an unbiased estimate of σ². Since samples are usually used to estimate parameters, s² is the most commonly used measure of variance. Calculating the variance is an important part of many statistical applications and analyses. It is the first step in calculating the standard deviation.

When you follow this simple to follow formulaic expression you can then very easily see that regardless of the statistical analysis performed DB will always be better than Wilson cos Wilson had a pig tattoo on his cock .

 

[Cerberus Blade]

An interesting problem but one that's easily overcome .

The variance and the closely-related standard deviation are measures of how spread out a distribution is. In other words, they are measures of variability.

The variance can be computed as the average squared deviation of each number from its mean. For example, for the numbers 1, 2, and 3, the mean is 2 and the variance is:

.

In other words a comparison between Bassett and Wilson whilst not apples and pears is problematic. But .....

where μ is the mean and N is the number of wins for them both you can already see a variant pattern emerging .

When this variance is computed in a sample the statistic finally shows what we were all thinking .

In other words N (where M is the mean of the sample) can be used. S² is a biased estimate of σ², however. By far the most common formula for computing variance in a sample is:

which gives an unbiased estimate of σ². Since samples are usually used to estimate parameters, s² is the most commonly used measure of variance. Calculating the variance is an important part of many statistical applications and analyses. It is the first step in calculating the standard deviation.

When you follow this simple to follow formulaic expression you can then very easily see that regardless of the statistical analysis performed DB will always be better than Wilson cos Wilson had a pig tattoo on his cock .

Thaz made all of that up! Except the bit about Wilson’s tattoo.

 

[Willie Carlin]

Give me a 1.2.3. for win %. as manager of the Blades. 1 being the best. No cheating.

Just for fun. I know it is different divisions so it is not a fair fight.

David Weir is by far the worst at a shocking 7.69%


Harris
Furphy
Porterfield
Bassett.
Kendall.
Spackman.
Warnock.
Blackwell.
Wilson.
Clough.
Wilder.

Spackman, Wilder, Bassett

 

[BushBlade]

An interesting problem but one that's easily overcome .

The variance and the closely-related standard deviation are measures of how spread out a distribution is. In other words, they are measures of variability.

The variance can be computed as the average squared deviation of each number from its mean. For example, for the numbers 1, 2, and 3, the mean is 2 and the variance is:

.

In other words a comparison between Bassett and Wilson whilst not apples and pears is problematic. But .....

where μ is the mean and N is the number of wins for them both you can already see a variant pattern emerging .

When this variance is computed in a sample the statistic finally shows what we were all thinking .

In other words N (where M is the mean of the sample) can be used. S² is a biased estimate of σ², however. By far the most common formula for computing variance in a sample is:

which gives an unbiased estimate of σ². Since samples are usually used to estimate parameters, s² is the most commonly used measure of variance. Calculating the variance is an important part of many statistical applications and analyses. It is the first step in calculating the standard deviation.

When you follow this simple to follow formulaic expression you can then very easily see that regardless of the statistical analysis performed DB will always be better than Wilson cos Wilson had a pig tattoo on his cock .

Put simply, standard deviation is the square root of variance. Although there was no deviation in the initials of DW and his ‘permanent’ successor, DW, it can be mathematically proven that the variance between the first DW and the second DW can be attributed to the second having the square root of fuck all ability.

 

[BushBlade]

Spackman, Wilder, Bassett

70s prog rock supergroup?

 

[Cerberus Blade]

70s prog rock supergroup?

Yep! Brain Salad Surgery wasn’t it?

 

[Silent Blade]

Its
Wilder 53.4%
Wilson 51.89%
Clough 47.12%
Spackman 46.51%

Top division stats please? Since 1932 there are only Davison, Freeman, Mercer, Harris, Furphy, Sirrel, Bassett and Warnock. Sirrel will be the lowest and Harris the highest