Analytics are more than statistics. They assess where points arise. For example, in basketball, Dean Oliver researched what separates winning with his "Four Factors" in Basketball on Paper.
SCORE, PROTECT, CRASH, ATTACK reflected shooting percentage, turnovers, rebounding, and getting to the free throw line.
In our middle school program we found that reporting TEAM shooting percentage and turnovers (the first two imperatives), that we raised our shooting percentage and reduced turnovers. Players responded to the data by making better decisions.
Newton North won the first set last night 25-17. Points can arise via positive actions of either team (aces, kills, blocks) or negative actions (e.g. net violations, attack errors, receive errors, 'campfires', etc.).
Here's my first set breakdown with 'benefit of the doubt' scoring. For example, with a sturdy block and a 'four' call, I gave Melrose the benefit of the doubt for possibly preventing the attack from crossing the tape.
Melrose 17 points - 8 positive plays, 9 Newton North errors
Newton North 25 points - 12 positive plays, 13 Melrose errors
Melrose ratio of 8 positive plays to 13 errors
Newton North ratio of 12 positive plays to 9 errors
These don't reflect the number of 'attacks' each team got. I don't have a hard number but I'd guess North got two to three times the number of 'dig, set, spike' classic attacks.
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