Duke with the early domination but can Michigan St. generate some shots? Duke is doesn't give up many, but they're ranked 2nd for P4 schools in giving up big chances (based on xg per shot)
#ncaawoso | #woso | #duke | #michiganstate
Playing with the Pythagorean Winning Percentage and came up with a list of teams out-performing their xG for/against. Rutgers has already been eliminated by a lower seed - wonder if any of the remaining teams will see the same fate.
#woso | #ncaawoso | #collegecup
NCAA DI WOSO matches rev up tomorrow! In the first match with a #1 seed: Samford is going to be up against it vs a powerful Florida St. Based on Samford's radar it looks like they like to play the long ball game. Can they conjure up a 'smash-and-grab' victory?
Really the only two metrics that matter are conceded goals (reversed in the radar so less conceded goals is a larger bar) and prevented goals. β β High number of exits suggests she comfortable getting off her line and claiming balls.
SEC Women's Soccer 1st Team All Conference Radars:
Starting with the CFs you see a variety of profiles w/ one thing in common - they score goals. Woods is a pure goal scorer while you can see why Tankersley was named the Forward of the Year - love to see that def work from a CF!
Big Ten Women's Soccer All-Conference radars can be found here: https://t.co/sxmXIY4NGl Always interesting to see who gets in based on defensive work vs attacking prowess.
The caveat being that these defending metrics (red) are more of a refection of team style and can be quite low for teams that attack more than they defend (see Reale+UCLA). It would be nice if Wyscout provided more per defensive action type metrics.
@KieranJ_1979@SBunching Itβs a tool in the toolbox that may seem irrelevant until itβs useful. Iβve only used a heat map once but it was worth while. One image convinced our left winger that she wasnβt providing the width we needed from the position. Clearly showed her clogging up the space of our AM.