sweet. What are single game ticket prices in Montreal? Also... wtf Miami!? $12 single game tickets or $200 season tickets? Shit, I think I'd stick with single-game tickets if $12 is correct. That's $20 CHEAPER to pay for 15 single game tickets.
Maybe the season tickets include some other games like the Open Cup games? Still, that's just awesomely brilliant sales/marketing
Could be, but considering Miami's track record... That would be $12 more dollars still putting $8 more for season tickets. Has Miami ever hosted USOC? I can't recall. I suppose I can look back at the records. Nah!
haha that's why I'm going student single game. On the chance I don't make EVERY game (while i'm in NYC for 2 months lol), I've now saved money. included in the pricing are US Open Cup, Playoff tix, and a soccer clinic with Zinho...
So let's say you lose the bid to host the open cup 1st round and lose or just fail to hose the Open Cup at all... and then don't make the playoffs. Soccer clinic with Zinho worth the $20?
dont know what recent season ticket sales are in charleston but a couple years ago I was told they were close to the 2000 mark. And since attendence has gone up slightly I would think that is still a pretty good number Mikey
OK. Here's a little bit more info. I'm really having fun with Excel. Now, if I can just figure out how to do '% of season' and the > and <. Code: USL1 % of season completed 1.2% Year Average Median %<2K %>10k 2009 3982 3982 0% 0% Final Numbers Year Average Median %<2K %>10k 2008 5164 4510 ? ? USL2 % of season completed 0% Final Numbers Year Average Median %<1K %>3k 2008 1614 1629 ? ? BTW, I'm missing four attendances from the USL2 last year: First and last Real Maryland games 5th Wilmington game 7th Charlotte game
CountIf( range, criteria ) So, if you have column B containing the attendance numbers you could: =(countif(B:B, <2000)/count(B:B)) and just set the cell to % format Also, instead of just putting in "B" it's better to select the range that actually contains the data so as not to accidentally count titles and the like. So, it'll probably look more like (countif(B2:B100, <2000)/count(B2:B100)) Excel is a wonderful tool. If you have any other questions, let me know. I'm very familiar with it.
You, and Excel, are awesome. Here's some more: Code: USL1 % of season completed 1.2% Year Average Median %<2K %>10k 2009 3982 3982 0% 0% Final Numbers Year Average Median %<2K %>10k 2007 4821 4291 18.8% 10.3% 2008 5164 4510 10.9% 12.1% USL2 % of season completed 0% Final Numbers Year Average Median %<1K %>3k 2007 1575 1423 28.1% 6.3% 2008 1614 1629 26.0% 7.3% As with 2008, I'm missing a few games for 2007. In the USL-1, as well. USL1 missing: Miami's first game Minnesota's 9th and last games USL2 missing: Western Mass games 7 and 9 Bermuda game 4 Baltimore game 8 Not that I ever expect those numbers to turn up. Just figured I'd note it for the record.
There's also this: https://www.bigsoccer.com/team.php?teamid=6420 Click the "Fixtures" tab on the far right.
I'll see about google docing it, but I want to see if I can figure out the previous season percentages before I do that.
Here we go with today's update: Code: USL1 % of season completed 1.2% Year Average Median %<2K %>10k 2009 3982 3982 0% 0% Final Numbers Year Average Median %<2K %>10k 2006 4666 3370 18.5% 10.7% 2007 4821 4291 18.8% 10.3% 2008 5164 4510 10.9% 12.1% USL2 % of season completed 0% Final Numbers Year Average Median %<1K %>3k 2006 1803 1703 14.1% 11.8% 2007 1575 1423 28.1% 6.3% 2008 1614 1629 26.0% 7.3% Five attendances missing from 2006, all in the USL2: New Hampshire's 1st and 8th games Western Mass' 2nd and 8th games Pittsburgh's 4th game We now have enough data to support the notion that the USL1 is getting healthier. Not sure about USL2. That being said, the numbers from MLS suggest that we should prepare ourselves for a drop this year. Yes, Seattle and Atlanta are gone (2 of the bottom 3 teams), but Cleveland only averaged 1634 in USL2 and the Aztex 1166 in PDL. I wouldn't be surprised to see them pretty much replacing Seattle's 3386 and Atlanta's 2281.
Our analysis is only as good as our data. As was already mentioned in this thread the numbers announced by teams is unreliable at best. Also, which is better 5000 people who paid $1 each or 1000 that paid $10? We have enough data to support the notion that attendance is rising, if we can believe the numbers. Healthier? Well, there's more to that than attendance.
I feel pretty confident that Austin will do pretty well. It might not happen for a couple years, but they will improve. 1100 in PDL is top 5-10%. silentounce, we just gotta take it in stride, it's all good, our data is AWESOME because we have it at all.
Look guys... here is the first of the prior mentioned questioning of the validity of the numbers. For shame!
OK. I should've stated it a little differently. "We have *some* data..." rather than "We have *enough* data..." By which I mean we have some data that can be used to argue that USL1 is healthier. As you rightly point out, other data can be found to argue the opposite! (I knew I shouldn't have editorialized!)
Slowly working backward in time. I have an idea on how to figure out the previous year's % of season numbers, so those will start cropping up. Code: USL1 % of season completed 1.2% Year Average Median %<2K %>10k 2009 3982 3982 0% 0% Final Numbers Year Average Median %<2K %>10k 2005 4527 3554 20.2% 8.0% 2006 4666 3370 18.5% 10.7% 2007 4821 4291 18.8% 10.3% 2008 5164 4510 10.9% 12.1% USL2 % of season completed 0% Final Numbers Year Average Median %<1K %>3k 2005 1680 1457 21.4% 11.9% 2006 1803 1703 14.1% 11.8% 2007 1575 1423 28.1% 6.3% 2008 1614 1629 26.0% 7.3% 2005 was a bad year for getting attendance. The USL1 had 5 missing games: Rochester's 11th game Puerto Rico's 3rd and 4th games Richmond's 12 game Atlanta's 11th game Despite all the missing games, they're spread out among top and bottom tier attendance teams, so I think what we have for USL1 is sufficiently accurate. The USL2 had 6 missing games: Pittsburgh's 8th game Cincinnati's 2nd game Northern Virginia's 1st, 2nd, 9th and 10 games. Because 5 of the 6 missing attendances are from teams at the bottom of the averages, the numbers you see above are not accurate. They're high, but who knows by how much. I do wonder how far back I should go with this. As far as I'm concerned, I could take the USL1 back to the A-League and the APSL, and the USL2 to the D3Pro League. But at some point the accuracy becomes questionable. I've just made a minor jump in using Excel, but I'm not a statistician, and can't say when the data's pointless. For now, I'll keep cruising and see what happens.
Go as far as YOU want and what is at least mostly accurate. I'd say more than 10 missing and you should call is a day. Of course if you're done now still awesome.
I've decided that if there are more than 10% missing, or skewed badly to one end of the list, then I'm going to skip that year. The archive on the USL website only goes back to 2003. I have my own stash of (paper) data from 1996-2000 or so, but much of it was on fax paper that's probably aged into unreadibility. So my "I'm not going to work that hard" limit is probably 2003. ...Then again, once I get going on something like this, it's easy for me to get obsessive. So we'll see.