To chess computer professionals:
(Since all rating lists have reached 3000 with Houdini), IF ELO is 3000, then what is the FIDE rating?
What does USCF do with FIDE and ELO?
How about the oldest rating list, SSDF?
If someone answers the first question of the three most preferably, I will be satisfied.
Jonathan Lee
Rating conversion: ELO and FIDE and others
Moderators: hgm, Rebel, chrisw
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h1a8
- Posts: 508
- Joined: Fri Jun 04, 2010 7:23 am
Re: Rating conversion: ELO and FIDE and others
Mee two.jplchess wrote:
If someone answers the first question of the three most preferably, I will be satisfied.
Jonathan Lee
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wims
- Posts: 54
- Joined: Sun Dec 19, 2010 6:49 pm
Re: Rating conversion: ELO and FIDE and others
ELO rating is a relative rating system, where ones rating is based on our performance against other rated opponents. Since engines doesnt play against FIDE rated opponents its impossible to say what an engines FIDE rating would be.
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Terry McCracken
- Posts: 16465
- Joined: Wed Aug 01, 2007 4:16 am
- Location: Canada
Re: Rating conversion: ELO and FIDE and others
You can't compare the FIDE rating with any computer rating. The FIDE rates humans while the SSDF and others rates computers. The lists in both cases gives a relative strength in their own rating pool.jplchess wrote:To chess computer professionals:
(Since all rating lists have reached 3000 with Houdini), IF ELO is 3000, then what is the FIDE rating?
What does USCF do with FIDE and ELO?
How about the oldest rating list, SSDF?
If someone answers the first question of the three most preferably, I will be satisfied.
Jonathan Lee
3000 Elo for Houdini doesn't translate to a human ELO rating. I'm sorry I can't give you an answer that translates totally different rating lists.
Terry McCracken
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Ajedrecista
- Posts: 1966
- Joined: Wed Jul 13, 2011 9:04 pm
- Location: Madrid, Spain.
Re: Rating conversion: Elo, FIDE and others.
Hello:
The basis of that logarithm is 10; it means that if you had scored 36% against someone, the rating difference is 400·log(0.36/0.64) ~ -100 (with this model, you are ~ 100 Elo behind your opponent). I am not a mathematician, but I think that Elo system is not perfect: it is a little biased and brings a slow but consistent rating inflation.
In this model, there is a degree of freedom: IPON takes 2800 Elo for Shredder 12 (you will see that Shredder 12 nor earn neither lose Elo, whatever its performance is). In CEGT 40/20, the degree of freedom is 'Start-ELO 2796', while in CEGT 40/4 is 'Start-ELO 2791'.
A good example is found with the recent rating software Ordo 0.2 by Miguel A. Ballicora; I quote an extract from the readme.txt file of Ordo:
(Overall average rating) = 2700:
=============================================================================================
(Overall average rating) = 2800:
You can see that the ratings are exactly the same but with 100 Elo of difference for each engine; but the relative differences between each couple of engines is exactly the same, no matter of the average rating, which is ARBITRARY. Each rating list has its degree of freedom (setting a fixed rating for a specific engine or setting an overall average rating for all the engines). These rating list also have different test conditions (time controls and hardware), so I would say that is impossible a 'translate' between different lists.
The only way to rate both humans and engines in a same list is let play both of them together in rated games, which is not the case nowdays. Furthermore, the number of needed games is not small, so it complicates even more the task.
So, trying to summarize all this stuff into answering your three questions:
a)
b)
c)
I hope I have asked correctly to your questions, but I must say that I do not satisfy your condition: I am a completely amateur, so my answers should be orientative and never taken as the 'absolute truth'.
Regards from Spain.
Ajedrecista.
As Wim and Terry have said, Elo rating system is a relative rating system, where the most important thing is not the absolute value of the ratings but the differences between them. The basis of this rating system should be remembered:jplchess wrote:To chess computer professionals:
(Since all rating lists have reached 3000 with Houdini), IF ELO is 3000, then what is the FIDE rating?
What does USCF do with FIDE and ELO?
How about the oldest rating list, SSDF?
If someone answers the first question of the three most preferably, I will be satisfied.
Jonathan Lee
Code: Select all
(Rating difference) = 400·log[(own score)/(opponent's score)]In this model, there is a degree of freedom: IPON takes 2800 Elo for Shredder 12 (you will see that Shredder 12 nor earn neither lose Elo, whatever its performance is). In CEGT 40/20, the degree of freedom is 'Start-ELO 2796', while in CEGT 40/4 is 'Start-ELO 2791'.
A good example is found with the recent rating software Ordo 0.2 by Miguel A. Ballicora; I quote an extract from the readme.txt file of Ordo:
So, the degree of freedom for Ordo is an overall average rating of 2300 Elo unless we set it in a different value; I will do two examples (with the same PGN file) using Ordo 0.2:Without any extra indication, the average rating of all the individuals
will be 2300. If you want a different overall average, you can set it with
the switch "-a". For instance to have and average of 2500, you can do.
ordo -a 2500 -p results.pgn -o rating.txt
(Overall average rating) = 2700:
Code: Select all
Z:\Descargas\ordo-v0.2>ordo-win32 -a 2700 -p results.pgn -o Average_2700.txt
importing results (x1000):
**************************************** 40k
**************************************** 80k
**************************************** 120k
**************************************** 160k
* total games: 161200
set average rating = 2700.000000
phase iteration deviation
0 2 26.53425
1 1 13.71973
2 3 6.75447
3 4 3.41538
4 2 1.74031
5 2 0.91858
6 8 0.41953
7 1 0.18896
8 1 0.11461
9 1 0.06470
10 7 0.02880
11 2 0.01590
12 4 0.00854
13 7 0.00422
14 3 0.00290
15 17 0.00115
16 13 0.00045
17 1 0.00027
18 7 0.00016
19 11 0.00008
doneCode: Select all
Average_2700.txt
ENGINE: RATING POINTS PLAYED (%)
Houdini 2.0 STD: 2990.2 2277.5 2900 78.5%
Houdini 1.5a: 2984.5 3162.5 4000 79.1%
Critter 1.4 SSE42: 2955.5 1853.0 2400 77.2%
Komodo 4 SSE42: 2949.8 1892.5 2500 75.7%
Komodo64 3 SSE42: 2938.3 2075.5 2800 74.1%
Deep Rybka 4.1 SSE42: 2932.8 2655.0 3700 71.8%
Critter 1.2: 2928.1 2232.0 3100 72.0%
Deep Rybka 4: 2927.7 3627.0 4900 74.0%
Houdini 1.03a: 2925.8 2520.0 3200 78.8%
Komodo 2.03 DC SSE42: 2921.0 1985.5 2700 73.5%
Stockfish 2.1.1 JA: 2912.4 2426.5 3500 69.3%
Critter 1.01 SSE42: 2892.8 1970.0 2800 70.4%
Stockfish 2.01 JA: 2892.2 2246.0 3100 72.5%
Stockfish 1.9.1 JA: 2870.5 2131.0 3000 71.0%
Rybka 3 mp: 2870.4 3228.0 4200 76.9%
Critter 0.90 SSE42: 2862.8 2327.5 3400 68.5%
Stockfish 1.7.1 JA: 2855.5 2131.0 2900 73.5%
Rybka 3 32b: 2812.3 1191.5 1700 70.1%
Stockfish 1.6.x JA: 2796.7 1792.5 2600 68.9%
Komodo64 1.3 JA: 2791.8 1946.0 3300 59.0%
Chiron 1.1a: 2789.5 1453.5 2600 55.9%
Naum 4.2: 2786.2 3927.5 6800 57.8%
Critter 0.80: 2777.8 1795.5 2800 64.1%
Fritz 13 32b: 2775.4 1406.5 2600 54.1%
Komodo 1.2 JA: 2762.4 2175.0 3700 58.8%
Rybka 2.3.2a mp: 2758.5 2172.5 3500 62.1%
Deep Shredder 12: 2754.5 4346.0 7900 55.0%
Gull 1.2: 2748.5 1854.5 3800 48.8%
Critter 0.70: 2745.1 1107.0 1900 58.3%
Gull 1.1: 2744.4 1675.5 3100 54.0%
Naum 4.1: 2743.3 1465.0 2300 63.7%
Deep Sjeng c't 2010 32b: 2741.3 2333.0 4800 48.6%
Komodo 1.0 JA: 2738.8 1756.5 2900 60.6%
Spike 1.4 32b: 2736.2 1843.5 3900 47.3%
Deep Fritz 12 32b: 2731.8 3268.5 6300 51.9%
Naum 4: 2729.8 1628.5 2700 60.3%
Rybka 2.2n2 mp: 2729.2 1311.5 2100 62.5%
Gull 1.0a: 2720.5 1254.0 2300 54.5%
Stockfish 1.5.1 JA: 2716.3 1128.5 1900 59.4%
Rybka 1.2f: 2715.3 1578.5 2400 65.8%
Protector 1.4.0: 2710.2 1789.5 4000 44.7%
Hannibal 1.1: 2706.4 1436.5 3300 43.5%
spark-1.0 SSE42: 2705.0 1965.5 4500 43.7%
HIARCS 13.2 MP 32b: 2697.5 1850.0 4300 43.0%
Fritz 12 32b: 2694.8 1091.0 2000 54.5%
HIARCS 13.1 MP 32b: 2681.8 1734.5 3600 48.2%
Deep Junior 12.5: 2680.2 1442.5 3600 40.1%
Deep Fritz 11 32b: 2675.3 744.5 1300 57.3%
Doch64 1.2 JA: 2665.3 820.5 1600 51.3%
spark-0.4: 2663.4 1458.0 3100 47.0%
Stockfish 1.4 JA: 2663.0 849.0 1700 49.9%
Zappa Mexico II: 2662.1 4152.0 9200 45.1%
Shredder Bonn 32b: 2659.9 1119.0 2200 50.9%
Critter 0.60: 2648.5 1072.0 2200 48.7%
Protector 1.3.2 JA: 2648.2 2361.5 5300 44.6%
Deep Shredder 11: 2639.9 1412.0 2700 52.3%
Doch64 09.980 JA: 2637.2 710.0 1500 47.3%
Onno-1-1-1: 2629.4 1923.0 4300 44.7%
Deep Junior 12: 2629.3 1356.0 3600 37.7%
Hannibal 1.0a: 2628.8 1600.0 4200 38.1%
Naum 3.1: 2627.8 1514.5 3000 50.5%
Zappa Mexico I: 2627.2 1221.0 2200 55.5%
Deep Onno 1-2-70: 2626.9 2109.0 5800 36.4%
Rybka 1.0 Beta: 2626.2 1023.5 2300 44.5%
Spark-0.3 VC(a): 2623.2 1625.0 3600 45.1%
Onno-1-0-0: 2620.6 594.5 1200 49.5%
Deep Sjeng WC2008: 2618.2 2434.5 5600 43.5%
Toga II 1.4 beta5c BB: 2614.5 3255.5 8300 39.2%
Deep Junior 11.2: 2613.1 1176.0 2900 40.6%
Strelka 2.0 B: 2611.0 1255.5 3900 32.2%
Hiarcs 12.1 MP 32b: 2605.6 2427.5 5600 43.3%
Umko 1.2 SSE42: 2603.5 956.0 3100 30.8%
Deep Sjeng 3.0: 2603.0 601.5 1400 43.0%
Critter 0.52b: 2592.0 1097.0 2600 42.2%
Shredder Classic 4 32b: 2591.9 922.5 1800 51.3%
Deep Junior 11.1a: 2582.0 1153.0 2800 41.2%
Naum 2.2 32b: 2580.3 614.0 1300 47.2%
Umko 1.1 SSE42: 2575.1 1146.0 3900 29.4%
Deep Junior 2010: 2573.2 1210.0 3100 39.0%
Glaurung 2.2 JA: 2572.4 1027.5 2600 39.5%
Rybka 1.0 Beta 32b: 2572.2 506.0 1100 46.0%
HIARCS 11.2 32b: 2567.4 827.0 1900 43.5%
Fruit 05/11/03 32b: 2564.8 1774.0 4400 40.3%
Loop 2007: 2557.1 2396.5 7700 31.1%
Toga II 1.2.1a: 2554.7 716.5 1600 44.8%
Jonny 4.00 32b: 2552.8 1330.5 5000 26.6%
ListMP 11: 2550.4 987.5 2600 38.0%
LoopMP 12 32b: 2548.4 635.0 1500 42.3%
Tornado 4.80: 2546.6 672.0 2600 25.8%
Deep Shredder 10: 2544.7 1754.0 4400 39.9%
Twisted Logic 20100131x: 2540.2 1140.0 3500 32.6%
Crafty 23.3 JA: 2535.6 1241.5 5000 24.8%
Spike 1.2 Turin 32b: 2518.0 2349.5 7700 30.5%
Deep Sjeng 2.7 32b: 2494.4 465.5 1400 33.3%
Crafty 23.1 JA: 2483.0 1002.0 3800 26.4%(Overall average rating) = 2800:
Code: Select all
Z:\Descargas\ordo-v0.2>ordo-win32 -a 2800 -p results.pgn -o Average_2800.txt
importing results (x1000):
**************************************** 40k
**************************************** 80k
**************************************** 120k
**************************************** 160k
* total games: 161200
set average rating = 2800.000000
phase iteration deviation
0 2 26.53425
1 1 13.71973
2 3 6.75447
3 4 3.41538
4 2 1.74031
5 2 0.91858
6 8 0.41953
7 1 0.18896
8 1 0.11461
9 1 0.06470
10 7 0.02880
11 2 0.01590
12 4 0.00854
13 7 0.00422
14 3 0.00290
15 17 0.00115
16 13 0.00045
17 1 0.00027
18 7 0.00016
19 11 0.00008
doneCode: Select all
Average_2800.txt
ENGINE: RATING POINTS PLAYED (%)
Houdini 2.0 STD: 3090.2 2277.5 2900 78.5%
Houdini 1.5a: 3084.5 3162.5 4000 79.1%
Critter 1.4 SSE42: 3055.5 1853.0 2400 77.2%
Komodo 4 SSE42: 3049.8 1892.5 2500 75.7%
Komodo64 3 SSE42: 3038.3 2075.5 2800 74.1%
Deep Rybka 4.1 SSE42: 3032.8 2655.0 3700 71.8%
Critter 1.2: 3028.1 2232.0 3100 72.0%
Deep Rybka 4: 3027.7 3627.0 4900 74.0%
Houdini 1.03a: 3025.8 2520.0 3200 78.8%
Komodo 2.03 DC SSE42: 3021.0 1985.5 2700 73.5%
Stockfish 2.1.1 JA: 3012.4 2426.5 3500 69.3%
Critter 1.01 SSE42: 2992.8 1970.0 2800 70.4%
Stockfish 2.01 JA: 2992.2 2246.0 3100 72.5%
Stockfish 1.9.1 JA: 2970.5 2131.0 3000 71.0%
Rybka 3 mp: 2970.4 3228.0 4200 76.9%
Critter 0.90 SSE42: 2962.8 2327.5 3400 68.5%
Stockfish 1.7.1 JA: 2955.5 2131.0 2900 73.5%
Rybka 3 32b: 2912.3 1191.5 1700 70.1%
Stockfish 1.6.x JA: 2896.7 1792.5 2600 68.9%
Komodo64 1.3 JA: 2891.8 1946.0 3300 59.0%
Chiron 1.1a: 2889.5 1453.5 2600 55.9%
Naum 4.2: 2886.2 3927.5 6800 57.8%
Critter 0.80: 2877.8 1795.5 2800 64.1%
Fritz 13 32b: 2875.4 1406.5 2600 54.1%
Komodo 1.2 JA: 2862.4 2175.0 3700 58.8%
Rybka 2.3.2a mp: 2858.5 2172.5 3500 62.1%
Deep Shredder 12: 2854.5 4346.0 7900 55.0%
Gull 1.2: 2848.5 1854.5 3800 48.8%
Critter 0.70: 2845.1 1107.0 1900 58.3%
Gull 1.1: 2844.4 1675.5 3100 54.0%
Naum 4.1: 2843.3 1465.0 2300 63.7%
Deep Sjeng c't 2010 32b: 2841.3 2333.0 4800 48.6%
Komodo 1.0 JA: 2838.8 1756.5 2900 60.6%
Spike 1.4 32b: 2836.2 1843.5 3900 47.3%
Deep Fritz 12 32b: 2831.8 3268.5 6300 51.9%
Naum 4: 2829.8 1628.5 2700 60.3%
Rybka 2.2n2 mp: 2829.2 1311.5 2100 62.5%
Gull 1.0a: 2820.5 1254.0 2300 54.5%
Stockfish 1.5.1 JA: 2816.3 1128.5 1900 59.4%
Rybka 1.2f: 2815.3 1578.5 2400 65.8%
Protector 1.4.0: 2810.2 1789.5 4000 44.7%
Hannibal 1.1: 2806.4 1436.5 3300 43.5%
spark-1.0 SSE42: 2805.0 1965.5 4500 43.7%
HIARCS 13.2 MP 32b: 2797.5 1850.0 4300 43.0%
Fritz 12 32b: 2794.8 1091.0 2000 54.5%
HIARCS 13.1 MP 32b: 2781.8 1734.5 3600 48.2%
Deep Junior 12.5: 2780.2 1442.5 3600 40.1%
Deep Fritz 11 32b: 2775.3 744.5 1300 57.3%
Doch64 1.2 JA: 2765.3 820.5 1600 51.3%
spark-0.4: 2763.4 1458.0 3100 47.0%
Stockfish 1.4 JA: 2763.0 849.0 1700 49.9%
Zappa Mexico II: 2762.1 4152.0 9200 45.1%
Shredder Bonn 32b: 2759.9 1119.0 2200 50.9%
Critter 0.60: 2748.5 1072.0 2200 48.7%
Protector 1.3.2 JA: 2748.2 2361.5 5300 44.6%
Deep Shredder 11: 2739.9 1412.0 2700 52.3%
Doch64 09.980 JA: 2737.2 710.0 1500 47.3%
Onno-1-1-1: 2729.4 1923.0 4300 44.7%
Deep Junior 12: 2729.3 1356.0 3600 37.7%
Hannibal 1.0a: 2728.8 1600.0 4200 38.1%
Naum 3.1: 2727.8 1514.5 3000 50.5%
Zappa Mexico I: 2727.2 1221.0 2200 55.5%
Deep Onno 1-2-70: 2726.9 2109.0 5800 36.4%
Rybka 1.0 Beta: 2726.2 1023.5 2300 44.5%
Spark-0.3 VC(a): 2723.2 1625.0 3600 45.1%
Onno-1-0-0: 2720.6 594.5 1200 49.5%
Deep Sjeng WC2008: 2718.2 2434.5 5600 43.5%
Toga II 1.4 beta5c BB: 2714.5 3255.5 8300 39.2%
Deep Junior 11.2: 2713.1 1176.0 2900 40.6%
Strelka 2.0 B: 2711.0 1255.5 3900 32.2%
Hiarcs 12.1 MP 32b: 2705.6 2427.5 5600 43.3%
Umko 1.2 SSE42: 2703.5 956.0 3100 30.8%
Deep Sjeng 3.0: 2703.0 601.5 1400 43.0%
Critter 0.52b: 2692.0 1097.0 2600 42.2%
Shredder Classic 4 32b: 2691.9 922.5 1800 51.3%
Deep Junior 11.1a: 2682.0 1153.0 2800 41.2%
Naum 2.2 32b: 2680.3 614.0 1300 47.2%
Umko 1.1 SSE42: 2675.1 1146.0 3900 29.4%
Deep Junior 2010: 2673.2 1210.0 3100 39.0%
Glaurung 2.2 JA: 2672.4 1027.5 2600 39.5%
Rybka 1.0 Beta 32b: 2672.2 506.0 1100 46.0%
HIARCS 11.2 32b: 2667.4 827.0 1900 43.5%
Fruit 05/11/03 32b: 2664.8 1774.0 4400 40.3%
Loop 2007: 2657.1 2396.5 7700 31.1%
Toga II 1.2.1a: 2654.7 716.5 1600 44.8%
Jonny 4.00 32b: 2652.8 1330.5 5000 26.6%
ListMP 11: 2650.4 987.5 2600 38.0%
LoopMP 12 32b: 2648.4 635.0 1500 42.3%
Tornado 4.80: 2646.6 672.0 2600 25.8%
Deep Shredder 10: 2644.7 1754.0 4400 39.9%
Twisted Logic 20100131x: 2640.2 1140.0 3500 32.6%
Crafty 23.3 JA: 2635.6 1241.5 5000 24.8%
Spike 1.2 Turin 32b: 2618.0 2349.5 7700 30.5%
Deep Sjeng 2.7 32b: 2594.4 465.5 1400 33.3%
Crafty 23.1 JA: 2583.0 1002.0 3800 26.4%The only way to rate both humans and engines in a same list is let play both of them together in rated games, which is not the case nowdays. Furthermore, the number of needed games is not small, so it complicates even more the task.
So, trying to summarize all this stuff into answering your three questions:
a)
3000 is an arbitrary number; the rating performance of Houdini is beyond doubt because it is very strong, but taking in mind the arbitrariness of the degree of freedom, its rating could be 4000, 2687, 0 or -85 (just typing four random numbers).(Since all rating lists have reached 3000 with Houdini), IF ELO is 3000, then what is the FIDE rating?
b)
I give you an useful link: The USCF Rating System by Prof. Mark E. Glickman. FIDE uses Elo system (with different K constants (10, 15 and 25), AFAIK depending on the rating), as well as the different engines rating lists, with different approaches (mainly EloSTAT and BayesElo).What does USCF do with FIDE and ELO?
c)
SSDF is still active but it has almost no updates (the last one is from 11th May, 2011 (eight months ago)): http://ssdf.bosjo.net/list.htm I have answered this question before: from my POV, different test conditions and the degree of freedom make impossible any exact comparison between lists.How about the oldest rating list, SSDF?
I hope I have asked correctly to your questions, but I must say that I do not satisfy your condition: I am a completely amateur, so my answers should be orientative and never taken as the 'absolute truth'.
Regards from Spain.
Ajedrecista.
-
kaissa
- Posts: 131
- Joined: Fri Mar 10, 2006 11:21 pm
Re: Rating conversion: ELO and FIDE and others
USCF used to use USCF = FIDE * 0,895 + 367, but I do not know if they still use it. It was before FIDE ratings went below 2200 so may not hold true anymore statistically.
FIDE = ECF * 8 + 1400 for English Chess Fed.
SSDF had started ratings from human-computer games IIRC.
Tony Hedlund had an excellent rating list where the computers were rated for their performance again humans at http://privat.bahnhof.se/wb432434/Man%2 ... %20Nov.htm . Unfortunately it has not been updated for some time.
http://privat.bahnhof.se/wb432434/level.htm is also informative.
Regards,
Edit: ELO is the system used, not a different rating list. Ten years ago ELO meant FIDE ratings but now most national and unofficial computer ratings lists use ELO.
FIDE = ECF * 8 + 1400 for English Chess Fed.
SSDF had started ratings from human-computer games IIRC.
Tony Hedlund had an excellent rating list where the computers were rated for their performance again humans at http://privat.bahnhof.se/wb432434/Man%2 ... %20Nov.htm . Unfortunately it has not been updated for some time.
http://privat.bahnhof.se/wb432434/level.htm is also informative.
Regards,
Edit: ELO is the system used, not a different rating list. Ten years ago ELO meant FIDE ratings but now most national and unofficial computer ratings lists use ELO.
-
lkaufman
- Posts: 5960
- Joined: Sun Jan 10, 2010 6:15 am
- Location: Maryland USA
Re: Rating conversion: ELO and FIDE and others
All chess rating systems are versions of the Elo system, so your first question was poorly worded. Probably you mean, if Elo rating on computer rating lists is 3000, what is the likely rating it would get from FIDE if it played in elite human events?jplchess wrote:To chess computer professionals:
(Since all rating lists have reached 3000 with Houdini), IF ELO is 3000, then what is the FIDE rating?
What does USCF do with FIDE and ELO?
How about the oldest rating list, SSDF?
If someone answers the first question of the three most preferably, I will be satisfied.
Jonathan Lee
If that is your question, the answer depends on which list you mean. CCRL and CEGT try to set their scale to correspond to FIDE based on some engine that did play top players years ago. In my opinion you can estimate the FIDE rating from these ratings by subtracting 25% of the excess over 2750. So, 3350 would mean FIDE 3200. Other lists like IPON are more arbitrary in setting up their scale. IPON ratings are surely lower than the likely FIDE ratings of their engines. Perhaps for IPON the ratings should be moved 25% of the way towards 3500 or so to estimate FIDE rating. The 25% factor applies to all engine vs. engine lists and is my best estimate of the degree to which engine vs. engine contests overstate rating differences in terms of how they would do against humans.
Regarding USCF ratings, they are comparable to FIDE ratings around the 2200 level but are increasingly above FIDE ratings at higher levels. For an approximation, move the USCF rating 20% of the way towards 2200.
-
Sarciness
- Posts: 43
- Joined: Tue Nov 23, 2010 4:22 pm
Re: Rating conversion: ELO and FIDE and others
I don't think that's right- it would make me 2600 and I'm definitely not! According to this:kaissa wrote:
FIDE = ECF * 8 + 1400 for English Chess Fed.
http://www.ecfgrading.org.uk/new-grades/
The formula is FIDE = ECF*8 + 650
-
kaissa
- Posts: 131
- Joined: Fri Mar 10, 2006 11:21 pm
Re: Rating conversion: ELO and FIDE and others
Thank you for correcting me. Getting older :)