Plus Liga 2020-21 – Outside Hitters

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I have been writing some posts on statistics for the current Plus Liga season, blockingmore blockingeven more blockingsettingsetting standardsserving and more and even some weird stuff. Most of the time I have tried to find different ways to look at things, and also to showcase how amazing the Science Untangled apps are. Today I will look just at outside hitters and the different areas of their games. For the record, I chose the cutoff of repetitions so that 25 players made each list so that the sample size for each is reasonable. In bold in the first column are the league averages for each skill and sub skill.

RECEPTION – I have to admit that some names here surprised me a little bit, but that is why we look at statistics in the first place. Interestingly, there are two players in the top 5 for both jump serve and float serve. Two notes, Szymanski is very close to the minimum, and the list of float serve receivers contains players who primarily overhead. Also interesting, the differences are small. 1% in expected sideout percentage corresponds to 1 expected sideout every 3-4 matches for the total, and 6-10 matches for the the sub skills. That is, the differences are tiny.

REC TYPENAME + EXPECTEDSIDEOUT %
TOTAL
61.6
SZYMANSKI 64.8SEMENIUK 64.3SCHOTT
63.9
LIPINSKI
63.5
CEBULJ
63.1
JUMP
58.9
SEMENIUK
61.6
LIPINSKI
61.4
SCHOTT
61.2
MIKA
61.2
ZALINSKI 61.2
JUMP FLOAT
66.1
SCHOTT
70.1
SEMENIUK 68.8ROUSSEAUX 68.5SZALPUK 68.3FIRSZT
68.3

SERVE – With serve I looked at two different measures, the expected breakpoint %, which includes all serves, and the opponent reception, which excludes service errors. There is less difference here than might be expected.

SERVENAME + EXPECTEDBREAKPOINT %
TOTAL
31.5
LAPSZYNSKI 35.5SLIWKA 35.4SEMENIUK 35.2LOUATI 34.2CEBULJ 33.8
SERVENAME + OPPOSITION EXPECTEDSIDEOUT %
TOTAL
61.6
CEBULJ 51.4SEMENIUK 53.3LAPSZYNSKI 54.3LOUATI 56.2LIPINSKI 57.3

ATTACK – With attack, there are a lot of different ways of breaking things down. A couple of general notes… crunch time and pipe have generally low sample sizes which partially account for the appearances of different names. There are a lot of the same names. Lipinski is much better in transition than after reception. All of the players in the top 5 from position 2 are better from there than position 4.

ATTACKNAME + RALLY WIN RATE
TOTAL
0.651
ORCZYK
0.742
LIPINSKI 0.737 SLIWKA 0.737ZALINSKI 0.726SEMENIUK 0.692
TOTAL CRUNCH
0.660
SLIWKA
0.800
LOH
0.769
ZALINSKI
0.727
SZALPUK 0.724EBADIPOUR 0.724
TOTAL RECEPTION
0.675
ORCZYK
0.745
SLIWKA
0.741
ZALINSKI 0.731SCHOTT 0.730SEMENIUK 0.728
OWN RECEPTION
0.675
SZYMANSKI 0.821GROBELNY 0.811SZALPUK 0.804WALINSKI 0.784SEMENIUK 0.774
TRANSITION
0.619
LIPINSKI
0.768
ORCZYK 0.739SLIWKA 0.732ZALINSKI 0.720SZYMURA 0.708
FAST
0.676
ORCZYK
0.792
ZALINSKI 0.769SLIWKA 0.765LIPINSKI 0.754BUCKO
0.742
HIGH
0.568
SLIWKA
0.688
ORCZYK 0.660KWOLEK 0.658LIPINSKI 0.642SZALPUK
0.630
PIPE
0.742
MUAGATUTIA 0.955MIKA
0.944
FORNAL 0.895SZYMURA 0.842CEBULJ
0.829
POSITION 2
0.664
KWOLEK
0.733
KWASOWSKI
0.724
WALINSKI
0.714
BUCKO
0.703
SOBANSKI
0.676

Tagged Volleyball AnalyticsVolleyball StatisticsPlus LigaScience Untangled2020-21 Plus Liga


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2 comments

  1. Hi Mark – are you collecting this data from the teams/coaches themselves, having your scout(s) create the dvw files, or is there a database with league dvw files available (Volleymetrics)?

    I’d like to run some analyses across leagues, but currently only have access to dvw files from within our league.

    Thanks for all you share,
    Keaton

    Like

  2. Hi Mark — if you don’t mind me asking, what is your process for collecting the dvw files / data for these analyses? From the teams themselves, your own scout(s), and/or via a database for each league?
    I’d like to run some analyses across several leagues and I have multiple seasons worth of data from our league, but don’t have access to other league dvw files without scouting myself.
    My other alternative is to scrape match reports from league sites and compile them, but it won’t be as valuable as having the raw dvw files, of course.
    All the best and thanks for all you share,
    Keaton

    Like

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