Plus Liga 2020-21 – Who Are The Best Position 2 Blockers?

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I have been amusing myself these last weeks with some statistics from the current Plus Liga season (here, here, here and here). And here. As always I use the Science Untangled apps. With these, we can start to look at parts of the game that have never really been looked at before. For example, blocking. The main blocking statistic is blocks per set. This is a stupid statistic, as I have mentioned before. We have looked at various measures of middle blockers as it is (relatively) easy to identify their opportunities to block (i.e. every opponent attack when they are front row). But what about the outside blockers? How can we study them in a bit more detail? Not surprisingly, the the Science Untangled Blocking app lets us look at more detail. It doesn’t allow us to make lists, but we can make our own with a little bit of effort.

So here it is, setters ONLY against attacks in their zone. That is, not including pipes and first tempo. That is part of the game, but we will leave it out for now. Included are matches up to 13th November.

RANKSETTER’S NAMEOPPONENT KILL%
1FIRLEJ43.6%
2TUANIGA44.1%
3JANUSZ44.3%
4CAVANNA45.0%
RANKSETTER’S NAMEOPPONENT EFFICIENCY
1KAMPA25.0%
2KEDZIERSKI25.0%
3CAVANNA28.5%
4JANUSZ29.3%

And the same thing for opposites…

RANKOPPOSITE’S NAMEOPPONENT KILL%
1ZIOBROWSKI35.9%
2AL HACHDADI36.4%
3SUPERLAK39.6%
4PETKOVIC41.0%
RANKOPPOSITE’S NAMEOPPONENT EFFICIENCY
1ZIOBROWSKI14.1%
2AL HACHDADI19.3%
3SUPERLAK19.8%
4KACZMAREK22.0%

As expected, the best opposites are better than the best setters in block. But it might surprise you to know that the top 5 blocking setters are better blockers than half the opposites. I won’t name names, but you might surprised by the names at the bottom of these lists.

Tagged Volleyball AnalyticsVolleyball StatisticsPlus LigaScience UntangledBlocking Statistics, 2020-21 Plus Liga


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