If He's a Good Hitter, Why Doesn't He Hit Good?

Attacking is the most important skill.

But we only evaluate 50% of it.

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*** if you already understand the basics, skip to the bottom for the advanced stuff ***

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Of course these exact terminal/non-terminal splits vary by gender, level, etc.

But the overarching theme is a constant.

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We are ignoring about half of the attacks.

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So let's look at those other 50%, they can't actually all be worth nothing?

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You're the coach.

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Bobby takes 10 swings in a match.

4 kills, 1 error, and tips the other 5, playing conservatively

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Billy also gets 10 attempts.

4 kills, 1 error, crushes 5 and forces OOS attacks

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Both guys are hitting 0.300 right?

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False. Black bear.

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We know instinctively that forcing OOS attacks or creating good opportunities for your own team are better than tipping easy balls for the defense.

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But how much better? 2x? 3x? 10x?

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Welcome back... to Expected Value

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To be clear, these are the same chart, expressed two ways.

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Left - in terms of Attack Efficiency

Right - in terms of Expected Possession Value

  • Translated: how likely are you to win the point, given this attack

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It doesn't look like much

But making good decisions on non-scoring attacks can have a 0.100 point difference, per attack!

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So back to Bobby and Billy.

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Reminder

  • Bobby = kills, 1 error, and tips the other 5, playing conservatively
  • Billy = 4 kills, 1 error, crushes 5 and forces OOS attacks

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Bobby: (4 * 1.000) + (1 * -1.000) + (5 * -0.057) = 0.272

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Billy: (4 * 1.000) + (1 * -1.000) + (5 * 0.047) = 0.324

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A 50-point split like that could certainly be the difference between on the court vs. on the bench.

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But this is the easy version.

If you're using DataVolley or VolleyMetrics, you'll already be familiar with these attack qualities and recognize that A+ and A- correspond to In-Play (good) and In-Play (poor).

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But what if we used all the data we had, not just A+ and A- ???

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What if we knew:

exactly where the set came from,

if it was in-system, OOS, or an overpass,

how many blockers you faced,

and the quality of the team you're playing?

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Well shoot, we'd be probably be able to design even better Expected Value metrics...

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So now that we understand the basics,

here's how Expected Value really works:

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Expected Points Added = Result - Expectation

Every "state" of a rally has a likelihood that either team will score.

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So what we really mean is: take the Expected Value after - Expected Value before

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Imagine a rally.

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Starts with a tough serve that forces an out of system set from deep in zone 6.

There are 3 blockers waiting for the outside hitter on the incoming high-ball.

The outside takes this OOS set and chips it high into the block, recycling it.

The libero covers his outside, putting up a perfect dig to zone 3 for the setter.

The middle gets on a route, but the setter plays it overhead to the opposite for a 1-on-1 attack.

The opposite easily kills the ball in this 1-on-1 situation.

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Who's the hero in this rally?

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Let's take a look.

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40% = that's how likely you are to win, given an OOS set from deep in zone 6

  • we use: XY coordinates of set's origin + out of system + 3 blockers + quality of opponent

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70% (+30) = how likely you are to win, given you recycle off the block into a perfect dig

  • we use: where the setter will now set from, etc. etc.

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75% (+5) = how likely you are to win, given the 1-on-1 situation for the opposite

  • we use: set origin + in-system + 1 blocker + quality of opponent

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100% (+25) = how likely you are to win, given it's a kill....

  • we use: nothing, it's just a kill. always 100%.

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Expected Points Added is the value you create as you move from one "state" to another.

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The outside hitter here adds 30% of a point by taking a terrible situation and creating a good one

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The opposite hitter adds only 25% of a point for killing the 1-on-1 set, because he is already expected to perform well in that situation

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We do this for every. single. attack.

(to be fair, the computer does it...)

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So when we talk about Expected Points Added per attack, we simply average across every attack for that player.

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Boom.

Expected Points Added (EPA).

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Quick Reminder: how to convert between Expected Value and Efficiency

https://www.volleydork.com/post/efficiency-vs-expected-value