As I have not proceeded much in the analysis of Team USA ultimate passing networks during the weekend, I will instead show what kinds of visualizations of passes one could work out with network visualization tools. Most of the pictures are created using NetDraw (a complementary visualization package to UCINET social network analysis tool).
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It’s getting a little too late for my brains, but lets hope that I got the pictures named the right way. I decided to study a little if some players (in Team USA ultimate team) throw proportionally more to certain players than the team in general. Or vice versa if some players get the disc more from certain players than the players on average do.
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Continuing the piecemeal analyisis of Team USA passing data (one step a day - I have no time for more). I classified the games being easy, medium or hard based on the result of the game. The game against Japan was the only “easy” game (13-4). In the medium category I placed three games: Canada, Finland, Germany (all 13-7 or 13-8). Both of the Australia games were left in the “hard” category. Of course, having categories with only 1-3 games does not allow to make any conclusions how significant the possible differences are.
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This is a little outdated, but in late July I presented our (Asmo Soinio, and yours truly) paper on scorekeeping ultimate with smart phones. Not much audience though. This is the same system used in keeping score in World Games 2005 in Germany.
Spent a little time to reformat the play-by-plays from UPA website and got some aditional info from Elizabeth - Thanks!
Some short notes of the passing within the team:
Men avg passes in whole tournament 94, stdev 34
Women avg passes 55, stdev 50 (Deb Cussen really “skews” this part)
Total passes by men 548, total passes by women 263
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