From: Albrecht Heeffer RIOS IMPAKT NETPOINT BE> Date: 8 jul 1996 Subject: Theoretical Elo ratings ------ =_NextPart_000_01BB6CDD.9698F740 Content-Type: text/plain; charset="us-ascii" Content-Transfer-Encoding: quoted-printable On Monday, 08 July, 1996 10:37 AM, Eric = Cheymol[SMTP:pierre.cheymol ESPACE AEROSPATIALE FR] wrote: >For information, I remind you the theoritical elos for each grade. >This is also the initial elo for a new player corresponding to >his first grade : > > 4 Dan =3D 2120 2 Kyu =3D 1680 7 Kyu =3D 1380 12 Kyu = =3D 1120 > 3 Dan =3D 2020 3 Kyu =3D 1620 8 Kyu =3D 1320 13 Kyu = =3D 1080 > 2 Dan =3D 1920 4 Kyu =3D 1560 9 Kyu =3D 1260 14 Kyu = =3D 1040 > 1 Dan =3D 1820 5 Kyu =3D 1500 10 Kyu =3D 1200 15 Kyu = =3D 1000 > 1 Kyu =3D 1740 6 Kyu =3D 1440 11 Kyu =3D 1160 > I have the feeling there is something wrong with these "theoretical" elo = ratings for grades: possibly the fact that they ARE so theoretical. If = you compare the ratings with the actual average rating of each grade = from the latest rating list, you get to see a picture of systematically = overrated theoretical grades: Grade AVG Theory Diff 3 Dan: 1998 2020 22 2 Dan: 1846 1920 74 1 Dan: 1800 1820 20=20 1 Kyu: 1689 1740 51 2 Kyu: 1619 1680 61 3 Kuy: 1597 1620 23 4 Kyu: 1453 1560 107=20 5 Kyu: 1454 1500 46 etc. I believe these theoretical grades are used for acquiring a higher = grade. If they are overrated this would imply that one has to perform = significantly above the average rating of a grade during 6 months to get = one, which seems to be unfair to me. Albrecht Heeffer -------------------------------------------------------------------------= ---- Impakt, Ham 64 B-9000 Gent, Belgium Tel. +32 (0)9 265.80.50 - Fax. +32 (0)9 233.00.78 http://www.netpoint.be/impakt/ ------ =_NextPart_000_01BB6CDD.9698F740 Content-Type: application/ms-tnef Content-Transfer-Encoding: base64 eJ8+IgUMAQaQCAAEAAAAAAABAAEAAQeQBgAIAAAA5AQAAAAAAADoAAENgAQAAgAAAAIAAgABBJAG AEgBAAABAAAADAAAAAMAADADAAAACwAPDgAAAAACAf8PAQAAAFcAAAAAAAAAgSsfpL6jEBmdbgDd AQ9UAgAAAABUaGUgU2hvZ2kgRGlzY3Vzc2lvbiBMaXN0AFNNVFAAU0hPR0ktTEBURUNITklPTi5U RUNITklPTi5BQy5JTAAAHgACMAEAAAAFAAAAU01UUAAAAAAeAAMwAQAAACAAAABTSE9HSS1MQFRF Q0hOSU9OLlRFQ0hOSU9OLkFDLklMAAMAFQwBAAAAAwD+DwYAAAAeAAEwAQAAABwAAAAnVGhlIFNo b2dpIERpc2N1c3Npb24gTGlzdCcAAgELMAEAAAAlAAAAU01UUDpTSE9HSS1MQFRFQ0hOSU9OLlRF Q0hOSU9OLkFDLklMAAAAAAMAADkAAAAACwBAOgEAAAACAfYPAQAAAAQAAAAAAAADHDwBCIAHABgA AABJUE0uTWljcm9zb2Z0IE1haWwuTm90ZQAxCAEEgAEAGAAAAFRoZW9yZXRpY2FsIEVsbyByYXRp bmdzAMwIAQWAAwAOAAAAzAcHAAgADgA4AAMAAQAsAQEggAMADgAAAMwHBwAIAA4AJwAmAAEAPgEB CYABACEAAAA0OTA0NDY1NEM3RDhDRjExOEFBRjAwODA0ODlEN0Y5QwAvBwEDkAYAiAYAABIAAAAL ACMAAAAAAAMAJgAAAAAACwApAAAAAAADADYAAAAAAEAAOQAgzCzSzGy7AR4AcAABAAAAGAAAAFRo ZW9yZXRpY2FsIEVsbyByYXRpbmdzAAIBcQABAAAAFgAAAAG7bMzSHFRGBErYxxHPiq8AgEidf5wA AB4AHgwBAAAABQAAAFNNVFAAAAAAHgAfDAEAAAANAAAAYWxAaW1wYWt0LmJlAAAAAAMABhAIzr2y AwAHEJIEAAAeAAgQAQAAAGUAAABPTk1PTkRBWSwwOEpVTFksMTk5NjEwOjM3QU0sRVJJQ0NIRVlN T0xTTVRQOlBJRVJSRUNIRVlNT0xARVNQQUNFQUVST1NQQVRJQUxFRlJXUk9URTpGT1JJTkZPUk1B VElPTixJAAAAAAIBCRABAAAAGAUAABQFAADrCQAATFpGdbl5+j3/AAoBDwIVAqgF6wKDAFAC8gkC AGNoCsBzZXQyNwYABsMCgzIDxQIAcHJCcRHic3RlbQKDMzcC5AcTAoM0BEYTMzEgWwhVAoM1EscR dTAUtn0XCoAIzwnZOxmfMjU1DwKACoENsQtgbmcxMIYzFFALA2xpMzYN8JcLVRVhC/JjAEAgTwOg Ak0CIGRheSwgMCA4IEp1bB9hMTmEOTYgEDA6MzcUsCpNH3BFBRBjFlBoZQMGwAbwW1NNVFA6NnAI kRmgLhFwIYNARQBTUEFDRS5BRYRSTyMxVElBTCNwYEZSXSB3A2AT0DpdCoQ+Hb8doSSyYwVARpcF sQuAAhByAMB0aQIgKR9wSSAZoG0LgGQgcnkIYCB0IXAo8gWwaeUn0GMHQCBlGTAEICeBUynwANBo IAnAYQ2wLpsKhCV/MSVvJnlUaAQA5ydQBCAHQHNvKPMLgCmRYynUKkNhIG4H0QtRec0EkCAFoRmg c3AfIQuAumco8G8rTyxfLW8gLpLcZmkRoAVAKuMgJPUz/18z3yZpNr83zzjfID0WNIQgRAORPSAy MQHQMz0SEeBLeSjgPgAxNto4PlMgILA+xTM/Qz4wvz62PjE57zr/PA89FzM9tt4wPkRFMD7GPkQg H6A/1v8+Q0AwPrYfkEFvQn9Djz0IvxHgPcQgID5EPaA+xTUdkFU9Ezk+tjJOYzFNxzB+NEj/Sg9L Hz0IFkBM5Tj1PkQ1TdcwPlMcwE7nVfP/TkBIV1XwUJ9Rr1K/U8k+xd43UHA9EiBQPsU0XIRBMP9A xx2QWC9ZNl62CxkeOSgw/RGAdikjKkAJ4B1gMhIhcP8ZoC7CLyAHgCkAMgIkoWRSzymQKsApARGw ICIpQxHA/SmyIjADKvAn0BygKjQq47xzOjDgKiAAkAJgeWKEPwDQBUApACfAKPJoYEFSrkVj0Sk0 ZfQuKCBmKLP9BaBtCrFidGa2ZOYu8CbwLnUp0WJRKvBnbAYgb/9rACqYKkADYSjzC2AT0DYR/24l HWATwB9wKMJt8GjxLzB/EbBtETDgITBtUGOBbpFz7xOzJ8EpwWhRb22xZrEJgG9qGmdmCoQKhUc2 UxSwVn5HPREugClhaGA9sAaQZj8KhUUzZ9AgIR+gRacyMucKhUzDeOE4NCBQTTdccP8KhVRTesJV 8lTWPkF75z7Bz3jhPzBO0FxXNTF6B35lHyAgQIE/NYCgeCdLdXmZeOE1OSCwRqcyMwqF803DeOE0 NUUwTjYcwCCw/wqFVVOEMz2gVcd7AAqFEcCuYys1CoUoMGJi8WViZO9lYXSfLuFjgXURsCigMFN4 Y3F1NfAyAjCQLpBnf2NhKtVq4mlja6Jz+i6hd/0IYGwooAdwC1BoYmkxAiDvKSARgAQgccFwBJAn gmPQ/4yQAwA14CnAAjBoUQGgc/HvbORtvzCQNkRkCHEyESBQewRgAjBokINxgpAhH3B39y6QKrFx 8W2Qg4jgiyAncP8LcAXAccEHgIfrdcpg/wBQHzl7CoQLNxciPkFBbGL3GaARcAVASAngDdAEkAqj /i2eX59voH+hj6IWiHRrgVJrcRFIYW+gNj2gQrwtOVfxdoAJ8HERQioA0GdpdW0Ko1QqAGrQwitH 0CAoMClO0E9gdDUuP0AuVeCeQCcQYRZ4pioc4C5V8C43OAMKo51gdHA6Ly93LanALjCwqXBvC4B0 Lq2I4C+PcaOhL3XkfaugAwAQEAAAAAADABEQAAAAAEAABzBAAsqGymy7AUAACDBAAsqGymy7AR4A PQABAAAAAQAAAAAAAABvHA== ------ =_NextPart_000_01BB6CDD.9698F740--