These are the ratings I've been working on. I think they are pretty good now. Shows how under-ranked Skupski, Cox and Evans are, and how over-rated Seator is.
Rank
Name
Rating
7
Andy Murray
810.6
58
Tim Henman
692.3
(717.8)
226
Alex Bogdanovic
558.1
275
Jamie Baker
537.2
333
Richard Bloomfield
510.7
390
Joshua Goodall
485.6
590
Kenneth Skupski
411.1
613
Chris Eaton
402.6
639
Miles Kasiri
392
640
Ian Flanagan
392
706
Alexander Slabinsky
372.6
708
Neil Bamford
371.5
725
James Ward
362.4
800
Daniel Cox
334.4
807
Tom Rushby
332.4
815
Matthew Smith
328.7
861
Daniel Evans
313.7
898
David Brewer
304.7
922
Edward Allinson
298.1
943
Richard Brooks
287.1
982
Myles Blake
275.5
992
Tim Hewitt
272.1
1005
David Rice
268.6
1059
Joshua Milton
256.1
1081
Edward Seator
248.5
1101
Richard Irwin
243.9
1137
Matthew Illingworth
232.6
1145
Harry Skinner
230.6
1170
Andrew Kennaugh
222.6
1176
Marcus Willis
220.4
(257.1)
1187
Alexander Farquharson
216.8
(259.6)
1209
Richard Wire
206.1
(242.8)
1284
Jagdev Sagoo
183.7
(214.7)
1332
Alan Wright
168.6
(199.6)
1356
Ross Connolly
162
1357
Sean Thornley
161.6
1372
Jonathan Kinsella
156.8
1410
Ben Pritchard
146.6
1427
Neil Pauffley
141.2
(184)
1433
Andrew Hamar
140
(299)
1434
Scott Dickson
139
(202.5)
1445
Max Jones
135.6
(225.4)
1447
Tim Bradshaw
133.9
1449
Iain Atkinson
133.7
(164.7)
1475
Chris Llewellyn
122
(142.4)
1489
Jamie Feaver
116.6
1509
Oscar Podlewski
110.2
1558
Philip Barlow
96.3
1562
Joshua Miller
95
1572
Maniel Bains
92
(107.5)
1574
Dan Smethurst
91.5
(128.2)
1575
David Baxendine
91.1
1598
Luke Campbell
80.4
1612
Kyle Brassington
77.1
1618
Chris Priddle
74.7
1727
Ekow Carboo
31.6
(121.3)
1819
Burnham Arlidge
-7
(35.8)
1839
Andrew Fitzpatrick
-15.6
(15.4)
1840
Dan Cottier
-15.8
(-13.6)
1860
Matt Brooklyn
-28.3
(112.6)
1864
Jeffrey Zungunde
-29.4
(42.1)
1867
Adam Barratclough
-31.1
(150.3)
1869
Pete Francis
-33.1
(56.6)
1882
George Coupland
-39.2
(41)
1885
Ned Boone
-39.8
(-14.3)
1899
Orion Modebe
-48.3
(0.9)
1907
James Richardson
-50.8
(38.9)
1935
Alexander Ward
-62.8
(-42.3)
1981
Tom Knights
-83.9
(57)
1985
Benjamin Levi
-85.4
2026
Amadeus Fulford-Jones
-106.2
(The number is brackets, is what that player would have been ranked if they had played over 25 matches in the last year.)
I would guess that these ratings are based on the rankings of the players they defeat mainly rather than a generic number of points for each win.
__________________
Of all tyrannies a tyranny exercised for the good of its victim may be the most oppressive.... those who torment us for our own good will torment us without end for they do so with the approval of their own conscience
So these are the chances of various players beating Boggo... Andy Murray 97% Jamie Baker 44% Bloomfield 36% Goodall 29% Skupski 13% Ward 7% Seator 1%
To calculate a player's new rating the formula is... 13 * (Result - Chance of Victory)
(It's a bit more complicated than that in that it takes into account the score, surface and the player's age too.)
Eg. if Boggo played Skupski ... and Skupski won - Skupski's rating would increase by 13*(1-0.13) = 11.3, and Boggo's would fall by 11.3 ... and Skupski lost - Skupski's rating would fall by 13*(0-0.13) = 1.7, and Boggo's would fall by 1.7
Although there is no limit of 1000. I calibrated it around that. Federer's current rating is 981.
Does that mean that Joshua Milton's victory this morning, over a guy ranked almost 450 places above him, means he rises by 13*(1-0)=13 points, to 269.1 - or have I missed something? Do I need to know his opponent's ranking in YOUR table to make the calculation, rather then his ranking in the ATP lists?
Very interesting - looks like a slightly simplified Elo rating system with surface adjustments, though I'm intrigued as to how you adjust for age. Sad as it looks, particularly re. the Boggo-Josh line-up, it's probably quite a lot more accurate than the real rankings and probably gets more accurate the further down the list you go as well.
Even more intriguing is: how on earth did you manage to collect all the data to do this? I've been interested in the idea of doing something similar for a couple of years, but not being able to get hold of the massive amount of data that would be needed in an easy to use format has always put me off.
__________________
GB on a shirt, Davis Cup still gleaming, 79 years of hurt, never stopped us dreaming ... 29/11/2015 that dream came true!
Does that mean that Joshua Milton's victory this morning, over a guy ranked almost 450 places above him, means he rises by 13*(1-0)=13 points, to 269.1 - or have I missed something? Do I need to know his opponent's ranking in YOUR table to make the calculation, rather then his ranking in the ATP lists?
It's the opponent's rating (not ranking) in my table it uses.
So Milton/Marek example... Milton was rated 256.1. Marek was rated 390.6. That's difference of 134.4, which equates to a 16% chance of a Milton victory.
So Josh Milton's rating would rise by 13 * (1-0.16) = 10.9.
Even more intriguing is: how on earth did you manage to collect all the data to do this? I've been interested in the idea of doing something similar for a couple of years, but not being able to get hold of the massive amount of data that would be needed in an easy to use format has always put me off.
It's all from SteveG pages. I wrote something that downloads the results into an Access database.
Right, got it, thanks. It does mean, however, that we out here can't make sensible use - for our own interest, that is - of your table without having the whole of it, not just the Brit bits, accessible to us; equally, only the up-to-date version would be of use. Do you update it every week? Would it be something you would care to share with us on a regular basis? I'm looking forward to reading your response to Steven's queries, too. Thanks for providing us with us, as well as your African fantasies!
would federer be ranked as no1 using this system as he can only ever bt lower ranked players.
also most players ranking move around all the time during the year dont they
Federer is no.1, yes. If Federer played Andy Murray for 11 times in a row, he'd have to win 10 times, and lose once, for his (& Andy's) rating to stay the same.
If he won all 11 times his rating would rise. If he won less than 10 times, his rating would fall.
The age adjustment, is there so that the ratings rise (or fall) quicker for under 21s. It's that constant of 13 that changes.
18 & Under - 26 19 - 22 20 - 17 21 & Over - 13
As that age their ability changes far quicker than when older.
Also it adjusts that constant to make matches played when under 18 less important. eg. If someone plays a match at 14 years old, and didn't play again until he was 18, that initial match's constant is 6 times less important.
Because a player's ability at 14, bares little resemblance to a player's ability at 18.