LPGA of Japan Tour

The LPGA of Japan Tour is a professional golf tour for women organised by the Ladies Professional Golfers' Association of Japan. It is the second richest women's golf tour in the world. The U.S.-based LPGA Tour is the most important women's tour, but the prize money gap has closed markedly since the American tour's total prize fund peaked at just over $60 million in 2008. While the Japan Tour is the second-most lucrative women's tour, two other non-U.S. tours, the Ladies European Tour and the LPGA of Korea Tour, rival the Japan Tour in level of competition.

LPGA of Japan Tour
Current season, competition or edition:
2020 LPGA of Japan Tour
SportGolf
Founded1968
CEOHiromi Kobayashi
Country Japan
Most titles Hisako Higuchi (69)
Official websiteLPGA.or.jp

Schedule

The 2020 schedule includes 37 official events worth ¥3.985 billion Yen. Two events not scheduled this year will return in the 2021 season due to the Olympic Games being in Japan in August 2020

Leading money winners

YearPlayerEarnings (¥)
2019 Ai Suzuki160,189,665
2018 Ahn Sun-ju180,784,885
2017 Ai Suzuki140,122,631
2016 Lee Bo-mee175,869,764
2015 Lee Bo-mee230,497,057
2014 Ahn Sun-ju153,075,741
2013 Rikako Morita126,675,049
2012 Jeon Mi-jeong131,827,582
2011 Ahn Sun-ju127,926,893
2010 Ahn Sun-ju145,073,799
2009 Sakura Yokomine175,016,384
2008 Miho Koga120,854,137
2007 Momoko Ueda166,112,232
2006 Shiho Oyama166,290,957
2005 Yuri Fudoh122,460,908
2004 Yuri Fudoh142,774,000
2003 Yuri Fudoh149,325,679
2002 Yuri Fudoh95,690,917
2001 Yuri Fudoh89,248,793
2000 Yuri Fudoh120,443,924
1999 Fumiko Muraguchi66,891,682
1998 Michiko Hattori81,570,823
1997 Akiko Fukushima99,594,094
1996 Akiko Fukushima70,596,190
1995 Ikuyo Shiotani75,006,561
1994 Mayumi Hirase69,817,958
1993 Mayumi Hirase81,474,399
1992 Ikuyo Shiotani57,799,649
1991 Ai-Yu Tu70,403,481
1990 Hiromi Takamura62,576,087
1989 Ai-Yu Tu90,075,587
1988 Nayoko Yoshikawa61,462,665
1987 Tatsuko Ohsako56,763,481
1986 Ai-Yu Tu62,435,225
1985 Ai-Yu Tu65,634,788
1984 Ai-Yu Tu52,897,845
1983 Ai-Yu Tu45,764,313
1982 Ai-Yu Tu39,029,644
1981 Ayako Okamoto32,333,465
1980 Tatsuko Ohsako23,594,744
1979 Hisako Higuchi18,399,345
1978 Hisako Higuchi11,664,650
1977 Tatsuko Ohsako14,481,500
1976 Hisako Higuchi14,667,000
1975 Hisako Higuchi8,428,233
1974 Hisako Higuchi15,545,700
1973 Hisako Higuchi12,627,000
1972 Hisako Higuchi4,150,000
1971 Hisako Higuchi2,290,000
1970 Hisako Higuchi1,215,000
1969 Hisako Higuchi500,000
1968 Hisako Higuchi350,000
gollark: Sure? I would move it to beside <#733816666089062511> but mobile.
gollark: Heavpoot is to be declared SCP-3125-A with immediate effect.
gollark: My tape download program now supports downloading big files without splitting them, via range requests, assuming they're served from a server which supports it: https://pastebin.com/LW9RFpmY (do `web2tape https://url.whatever range`)
gollark: Here is a similar thing for JSON. Note that it delegates out to an external JSON library for string escaping.```luafunction safe_json_serialize(x, prev) local t = type(x) if t == "number" then if x ~= x or x <= -math.huge or x >= math.huge then return tostring(x) end return string.format("%.14g", x) elseif t == "string" then return json.encode(x) elseif t == "table" then prev = prev or {} local as_array = true local max = 0 for k in pairs(x) do if type(k) ~= "number" then as_array = false break end if k > max then max = k end end if as_array then for i = 1, max do if x[i] == nil then as_array = false break end end end if as_array then local res = {} for i, v in ipairs(x) do table.insert(res, safe_json_serialize(v)) end return "["..table.concat(res, ",").."]" else local res = {} for k, v in pairs(x) do table.insert(res, json.encode(tostring(k)) .. ":" .. safe_json_serialize(v)) end return "{"..table.concat(res, ",").."}" end elseif t == "boolean" then return tostring(x) elseif x == nil then return "null" else return json.encode(tostring(x)) endend```
gollark: My tape shuffler thing from a while ago got changed round a bit. Apparently there's some demand for it, so I've improved the metadata format and written some documentation for it, and made the encoder work better by using file metadata instead of filenames and running tasks in parallel so it's much faster. The slightly updated code and docs are here: https://pastebin.com/SPyr8jrh. There are also people working on alternative playback/encoding software for the format for some reason.

See also

References

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