Highlight from the game is here
http://www.youtube.com/watch?v=gt6_KZm4CgM
Attendance figures http://ameblo.jp/giggs/
Giggs has info on this year's attendance
Verdy up 2000+ from last season
順 team this year last year change
－－－－－－－－－－－－－－－－－
01 Vegalta 15,736. 14,453 +1,283 △
－－－－－－－－－－－－－－－－－
02 Consadole 10,612. 10,478 +134 △
－－－－－－－－－－－－－－－－－
03 Avispa 8,449. 13,780 -5,331 ▼
04 VERDY 8,136 5,705 +2,431 △
05 Sagan 7,983 7,465 +518 △
06 Cerezo 5,762. 13,026 -7,264 ▼
07 Kyoto 5,628 9,781 -4,153 ▼
08 Shonan 5,053 5,365 -312 ▼
－－－－－－－－－－－－－－－－－
09 Yamagata 4,593 5,085 -492 ▼
10 Tokushima 4,284 3,477 +807 △
11 Ehime 4,106 4,139. -33 ▼
12 Mito 3,097 3,017. +80 △
13 Thespa 2,669 3,736 -1,067 ▼
So Verdy has had the biggest bump in attendance after losing the most fanbase last campaign. Mito also inches past the free falling Thepsa support squad to become the second least biggest team in J2.
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3 comments:
STEP ONE: COMPLETE!
Only 29 more!
That's good, we have 2.431 fans more!! :D
Cerezo lost a lot of fans, more than 7.000 :O
Way more than 7,000, Im guessing their last game of 2005 v FC Tokyo was a sell out, where are they now?? Probably riding the Kawasaki Frontale bandwagon im guessing.Of course everyone likes a winning team but from sell out to 5,000 in two years is truly remarkable!! Well done Cerezo!! Not like Verdy though, we won the Emperors Cup the first sniff of anything in years and still nobody comes!THE GLORY HUNTERS MUST HAVE KNOWN SOMETHING WE DIDN`T.Unlike Cerezo who suddenly gained a ruck of "supporters" only to lose them at the first whiff of trouble,the mighty heroic Verdy,had few fans to begin with and managed to lose only a chunk instead of a ruck during their downward spiral.Hurrah!! Statistics are a wonderful thing they can make anything look good.Remember this years stats are based on us already having played Sendai away (the biggest crowd in J2) and Opening Day.Usually a decent draw.If you chose the games against some of the lower ranked teams and last weekends piss poor 6,000 we would be have a far lower average.
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