Stats and OPRs based on Twitter Qual match data as of Sun 3-9-14 14:54:20 ET.
The usual Twitter data caveats apply: Twitter data is incomplete and may contain errors and redundant data. Twitter data is not official. However, it contains information not available in the official Match Results and Team Standings data, such as foul points for each match.
Explanation of "Quartile" for those not familiar with the term:
Code:
Example:
win final score:
102 average (mean)
420 max
131 Quartile3
95 Quartile2
67 Quartile1
100% of the winning scores were less than or equal to 420
75% of the winning scores were less than or equal to 131
50% of the winning scores were less than or equal to 95
25% of the winning scores were less than or equal to 67
25% of the winning scores were between 131 and 420
50% of the winning scores were between 95 and 420
75% of the winning scores were between 67 and 420