A reddit user did an experiment. Let's discuss the results.

That means that he played 100 matches as trapper.. and won a lot of them... nothing more nothing less

Batusalen: how do you calculate an average?

i see, and agree. on equal skill level killers should have a hard time even if they try but definitely not against soloq teams because matchmaking is an absolute joke.

I'm pretty sure someone did the math before, and a 60% killrate means closer to an average 60% winrate, not 50%.

I'll try to walk through the idea conceptually. Sets of 5 matches, 20 Survivors, 12 kills, 8 escapes. 60% killrate.

Cases with Escape/Kill

1.Most 4E 2.Most 3E 3.Most 2E 4.Most 3K 5.Most 3K with Most 3E (or 2E)

(If there are more possible permutations feel free to include them in your reply)

EEEE EEEK EEKK EEEE EEEK
EEEE EEEK EEKK EKKK EEKK
KKKK EEKK EEKK EKKK EKKK
KKKK KKKK EEKK EKKK EKKK
KKKK KKKK KKKK EKKK EKKK

Killer/Survivor/Draw %s

60/40/0 40/40/20 20/0/80 80/20/0 60/20/20 - using these for the averages, same result as #s

Killer/Survivor/Draw #s

3/2/0 2/2/1 1/0/4 4/1/0 3/1/1

AVG. 52% Killer win, 24% Survivor win, 24% Draw.
No draws is 68% Killer win, 32% Survivor win.
(260/500 or 260/380 for Killer, 120/500 or 120/380 for Surv, 120/500 for Draw)
Heck, even being favorable and splitting Draws 50-50 (rather than 60-40) for both gives 64/36 Killer favored.

IME condition 4 or 5 is probably the most common, but mileage may vary. So while theoretically condition 2 fits your premise, all the other cases still exist and are contributing to the math. Plus I'm sure law of large numbers would converge on a 60/40 winrate with draws thrown out, but it still looks dire with Killer winning roughly double as Survivor on average with or without draws.

One flaw is we don't know how Hatch is counted. Do they count it as an escape, or do they discard the result as a draw like they said they treat it as such for MMR? Hypothetically if the 3Ks were all Hatch escapes across the conditions, and they throw out Hatches, that could add an extra 7 results. That could add EKKK (Hatch for an 8th result extra) into EEEK (to maintain ~60% kill rate with 4/7K 58% since the Hatch didn't count), adjusting the stats to 52% KW, 26% SW, 22% Draw, or 67% KW, 33% SW with draws thrown out.

So yeah, overall Killer has double the winrate of Survivor with a quick math check.

(I figured out 5 more missing cases before I posted this: 4E/3E/1E/0E/0E, 4E/2E/2E/0E/0E, 4E/2E/1E/1E/0E, 3E/2E/2E/1E/0E, and 2E/2E/2E/1E/1E for a cumulative total of 50 matches, with 25 Killer wins (50%), 14 Draws (28%), and 11 Survivor wins (22%) or without draws ~69% KW, ~31% SW. That makes the odds even worse for Survivor wins in both draw or no draw scenarios.)

I don't think he does understand, because the way he responded shows he really does not.

And what more data do you need to calculate that a 60% killrate 

on average

 means 2.4 survivors killed per match 

on average

? Because the only thing you are proving here is that you also don't know what an average means.

You keep dodging this!

Imma just spell it out, all the way through for you.

The way YOU, specifically, calculate winrates from killrates here also mandates a 0% average winrate from any killrate under 50%. You have admitted as much yourself.

Now, you calculate an average by taking all the numbers in a data-set and adding them together, then dividing them by the count of numbers in that data-set.

In order for an average to be zero, one of the following two MUST be true:

1. The dataset contains negative values.
2. There is no value other than zero to be counted in the dataset.

Since we're talking about winrates here, and it is obviously impossible for winrates to be -negative-, the second rule MUST be true if you want to reach an average of 0.

So when you claim that, by the method you use, a kill-rate of 40% would result in a 0% average winrate, you are, by mathematical definition, claiming that within that dataset, there is not a single winrate above 0%, which would require that not a single match ended in a 3K or higher.

So for example: 1000 matches at 40% killrate, meaning 1600 survivors killed, according to your model, can not possibly include ANY match where 3 or 4 survivors were killed.

Because if there's even ONE match with a 3 or 4K, SOMEONE in that dataset has a winrate above zero, which means that the average winrate can no longer be zero.

Do you understand this?

I'm trying to figure out where he's going with this. Like I get the misunderstanding between average and uneven data sets, but this? I'm wondering if there has been some massive communication at some point because saying a killer has an average winrate of 0% is nonsensical.

I think the point of miscommunication here miiiight be something like, when they say "average winrate of 0%" what they mean is that the average outcome isn't a win?

That statement would kinda make more sense based on what they're saying overall, like, the difference between killers never winning and the average outcome being a draw or a loss but wins still happening here and there.

I'm not good enough with numbers to know if that's anything on its own merits, but it does seem like what they're saying.

Median wouldn't work either, because if there's any winrate above 0%, the median could not be 0%. Runs into the same issue, effectively.

It could if you create a data set that just compromises three variables win/loss/draw. You could get a median result that is not 'win' and then mistakenly call that an average of 0% winrate.

But I'm just wildly guessing at possible logic at this point.

Im starting to think it's all subjective in which way a person thinks the balance should tilt.

To your point, I would say that would depend on the number of matches played combined with the outcome of each match. Average does not always equal exact. An average kill rate of 2k doesn't mean every match ended in a 2k. If the average of all matches is not exactly a 2k every game, then there will be a mix of wins/losses. Could the killer even win more than they lose, or lose more than they win, but still have an average of 2k?

If exactly every match ended in a 2k then that would depend on how you see it. If you see it as a draw that just nullifies the killers match, then the killer neither won nor lost. While the survivors have 50/50 win and lose. Or you could look at a draw as half a win, half a loss, which starts to balance out.

If for some reason you see not winning, but a draw, as a loss. Then there is probably someone else who thinks wow, I managed to get a draw, that's a win to me.

Do both sides stand a chance or is the killer always guaranteed a draw? While survivors always know at least 2 will lose? This could mean 2 survivors constantly have a 0% winrate as well, while the other two could possibly stay at 100%. Or anything in between. Depending on teammates and luck of the draw.

So at that point is it more fair to even out for wins, losses, or just call it even across the board? To keep in line with the horror theme as they said, it seems to go more towards the win side than the loss side.

However, that would just be game balance wise. If you go by MMR and a match ends in a 2k. It may nullify the killers gain/loss but at least 2 survivors may gain MMR and 2 survivors may lose MMR. Which just separates the survivor side even more. Because if they were counted as "one", then the survivors would also be nullified. Since they are not, that means at least two survivors are going to raise in mmr even though the other two teammates may have played the bigger role. But that's just part of scoring individually.

The problem is that every average is made up of many numbers. A 2k Average can be 2K/2E, or a 4E and a 4K, or a 3K and a 3E. In those 3 cases, only 1 of them has a 0% winrate, and even then it is a 100% draw rate. Heck, even draws are often considered a half win, or 1 point for a draw and 3 for a win, so even in the most extreme circumstances draws still count towards win counts.

Then I truly don't understand how you can counter your own points in the 2nd and 3rd paragraphs. "And yes, anything more than 2k would be a win, …" in the context of Killer, then contradict yourself saying "2.4k on average won't mean a 100% winrate because you have the .4 part…". You tried to justify that by "if you do the math", but I literally did the math in the previous post which showed closer to ~70/30 winrates for Killer at 60% killrates, or ~50/25/25 if you include draws.

You ignored all the math and did none yourself, and are jumping hoops of logic to suit your narrative even when faced with hard evidence to the contrary. That's why everyone is thinking you are the one trolling. When you ignore what must happen to make an average to push the idea that 2K average means 3Ks and 4Ks CANNOT exist, then it is impossible for you to not be joking.

Ah look, we are still discussing as if kill rates means anything meaningful

It's quite obvious survivors are fundamentally easier to lose just because of stupidity(mostly for teammates and challenges) rather than game balance, while not so much for killers, it only makes sense to aim for slightly higher KR especially if they want to make a horror game

It doesn't really matter if numbers are 50/50 or 60/40 or 70/30, because none of those numbers shows actual game health, if devs decided to aim for 60% there is a reason for it, and it's not hard to understand slightly higher KR is basically healthier for the game

Yeah that is true. The game was at its healthiest for everyone before patch 6.1, and that had ~50-55% killrates on average IIRC. BHVR's attempts to raise kill rates destabilized the game, and gave us the worst metas of all time (Call of Brine+Overcharge+Eruption and camping 3 gens from the onset). Although they did reach their much desired 60% killrates lol (and passed it, once more and more people caught on to 3 genning as their only game plan).

No, I'm using 'on average' because we are talking about averages.

Average, math, is defined as: An average is the result that you get when you add two or more numbers together and divide the total by the number of numbers you added together.

On average is defined as: If you say that something is true on average, you mean that it is generally true.

Collins dictionary for definitions.

Which do you mean because there is a giant difference between them (the difference between the mean and the mode)?

It makes sense, but you either, again, don't understand what an average means, or you are simply refusing to accept what basic math and logic say. 

I'm doing my best to be polite, but please consider for a moment, that multiple people are on here telling you that your 'basic' math is wrong, and no one is backing you up saying 'hey, I think I get what Batusalen is…'

Look at this rationally: we're not trolling you. We think you're wrong. Multiple people have laid out the actual math on how.

Now, let's forget you contradicted yourself for a moment, 

I'm not, I'm pointing out a hypothetical math scenario to try and help you understand where your mistake is. You're selectively quoting.

pretend to balance a game like DbD while granting everyone an equal chance of winning with just "uneven data sets" (which I'm going to guess are "kills distribution" in this case) when:

None of this is relevant to the discussion. You can say that a 60% is good for any number of possible reasons. But the idea that it is a mathematical necessity for either parity in win rates or an MMR system is provably wrong.

So, even if "uneven data sets" can help identify if an individual killer needs balancing, it doesn't work in terms of overall balancing and will not help balance killers against survivors.

So I don't think you get what an uneven data set is. Its not something anyone is arguing the game should or should not have, its a fact that its what the game does have.

As you are saying, you are doing basic math when you need to be doing slightly complicated math.

I'm not sure if you're backing up what I'm saying or misreading what I said because I think we agree (sorry, being extra careful in this thread at the moment).

No, again, the problem is that you don't know what an average is. Let's take 10 players in 10 matches, 5 of them do only 3Ks, the other 5 only 1Ks. The average kills per match is 2 survivors killed per match, which is a 50% kill rate per match on average, which again, means that killers draw their matches on average.

In that scenario you have a kill rate of 50% and a winrate of 50%. More specifically you have a winrate of 50%, a loss rate of 50%, and a draw rate of 0%.

Also I don't know what would actually be the problem with that hypothetical scenario.

You could also have a scenario of: 2 4ks, 3 3ks, 1 2k, 1 1k, and 3 0 ks (one of many random possibilities). That's still a kill rate of 50%, but you now have a winrate of 50%, a loss rate of 40%, and a draw rate of 10%. Unless you know the probability of the five different game outcomes (not even getting into hatch), you can't mathematically determine the kill rate percentage you need to determine what would create a winrate parity (not that a winrate parity is even necessary, but if that was your goal that's what you'd need).