The only data showing that is GM ladder, and it’s useless. Aligulac does not show P overperforming, Liquipedia database does not show P overperforming. All the data of P overperforming is 9% more protoss than it should at GM,system that is filled with smurf accounts and does not reveal the real number of top players.
If i were You, i would not take too seriously someone like BatZ. He is a kind of sociopath with a dose of narcissism that is able to turn at every opportunity in order to generate attention.
He is not interested at all at balance, just at the opportunity to create pointless debates about different things.
Yesterday he attacked Terrans, today he is attacking Protoss and maybe tomorrow he will attack Zerg.
I know that using such “personalities” sometimes is opportune (i did), just like using and than throwing a con… after use.
He is just a Trump with 50 more IQ and more articulate without the stupid hairdo.
Not sure if I’ve seen Berserksword’s name in a while, but I guess I have seen tehbatz’s name around. When I say they fall under the TCF, I mean that anyone that complains about Protoss to a ridiculous extent automatically falls under the TCF category in my mind. I wouldn’t call it a psychological problem. It’s just when you see a bunch of nut cases yapping about the same thing, they lose their individuality. Also, yes I see now this is a complaint from a Zerg perspective. That’s shocking and hilarious considering that Zerg is currently net-favored in all stages of the game against Protoss.
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Aligulac does not show P overperforming
Aligulac is completely useless for balance. A database that has matches with players literally thousands of mmr apart has no relevance at all.
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The only data showing that is GM ladder
No, there’s huge spikes in masters and diamond populations as well.
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All the data of P overperforming is 9% more protoss than it should at GM
The overall percentage is not what matters, it’s the change over time. Protoss being 43% in GM isn’t the main issue, it’s that it went from ~35% to 43% and before that it was trending 30% or even slightly lower. This shows that patches over the last 3 years have significantly helped Protoss. Zerg performance has been the opposite.
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This shows that patches over the last 3 years have significantly helped Protoss.
This is hilarious, we are witnessing the strange and inexplicable phenomenon when Nerffs are helping the race that is hammered with them.
In this train of thought. I propose in order to help Terrans gain positions …10 -12 consecutive patches with Nerfs!
Man so many triggered PPP cry babies getting so triggered despite Protoss completely dominating.
It is becoming extremely likely these trolls are an angry group of individuals whose real life is better lived by patrolling these forums.
Hello virus. Xd xd xd
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Hello virus. Xd xd xd
Hello bacillus, any Pro player has said something along the lines that Protoss Easy Terran Hard?
Keep searching.
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I’m just saying the winrates on ladder aren’t a perfect representation of balance
They don’t have to be. They just have to have a strong enough correlation to know if “true” or “false” “is protoss overpowered”.
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Batz didn’t really complain about Protoss until recently and the data shows Protoss is overperforming
And I held back for several months to see if it was a blip in the data or a long lasting trend (it’s a long lasting trend).
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The only data showing that is GM ladder, and it’s useless. Aligulac does not show P overperforming, Liquipedia database does not show P overperforming. All the data of P overperforming is 9% more protoss than it should at GM,system that is filled with smurf accounts and does not reveal the real number of top players
Garbage arguments like this are exactly why I created the thread. GM/Masters contains probably 99.999% of the games played at the top level. But, according to you, the trend in 99.999% of games played is wrong because you found a pattern in 0.001% of games played.
Your argument is quite literally analogous to the crackpot in the video who claimed that aliens intervened to help ancient civilizations create triangles with their settlements. Did you watch the video? Obviously not. It’s called “Ramsey theory”. Look it up.
When you have enough data to pick through, you can find a pattern to support any theory as long as you are willing to ignore the majority of the data and focus on a small selection that fits your theory (also known as the “cherry picking” fallacy).
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tehbatz and BerserkSword, both are Zerg players.
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tehbatz and Berserksword are regular Zerg posters.
i’m a terran player.
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Their complaints about Protoss are unwarranted
Imagine being shown mountains of evidence that Protoss is overpowered, and then saying that “complaints” about Protoss are unwarranted.
Once again you are resorting to spreading misinformation hoping to subvert the community. Just like how you spam the misinformation that I’m a Zerg player.
lol
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This is hilarious, we are witnessing the strange and inexplicable phenomenon when Nerffs are helping the race that is hammered with them.
In this train of thought. I propose in order to help Terrans gain positions …10 -12 consecutive patches with Nerfs!
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Is your mental health ok?
The reason I’m asking is probably not at all the reason you’re thinking, but b/c it seems to be affecting your posts which are greatly downgrading the quality of posts on a good thread.
The patches over those 3 years have been in 99% of the cases huge Protoss Nerrfs. Just read them.
If Protoss players are able to survive and improve their game in spite of the nerffs, why terrans can’t do that with their buffs?
Also, keep in mind that terrans received a double advantage:
a) Buffs to their race
b) Virtual buffs due to Protoss Nerrfs.
Next time yapp in a more convincing tone.
The earth is not flat BabaYaga.
Here is a fun chart:
https://i.imgur.com/iRH4z9F.png
These are the elo rankings of “pro” players active in 2020 with at least 100 games played. The rankings are standardized: the ranking of each player and for each matchup is subtracted from the mean of that matchup and divided by the standard deviation of that matchup. This allows for comparisons between different distributions shapes/means. That is, if a player is 2 standard deviations from the mean in PvP, he should be roughly 2 standard deviations from the mean in PvZ and PvT.
Since the distributions are centered around the mean, the “b” constant in the linear regression should be basically 0 (which it is for each equation). What we are left with is how a race’s performance scales with skill on average for all players.
- Terran: 0.9 in TvP and 0.916 in TvZ.
- Protoss: 0.9 in PvT and 0.921 in PvZ.
- Zerg: 0.912 in ZvT and 0.909 in ZvP.
- Protoss players are rewarded with (0.921 - 0.909) = 1.2% higher Elo on average compared to equally skilled Zergs.
- Terrans are rewarded equally to equally skilled Protoss (0.9 vs 0.9).
- Zergs are rewarded (0.912 - 0.916) = -0.4% compared to equally skilled Terrans.
Thus the pro-level stats confirm the ladder stats: P>T>Z.
Another thing to note is that since all asymmetrical matchups are less than the symmetrical ones on average (by about ~10%), it means the asymmetrical matchups have a tighter variance than the symmetrical ones, which basically proves that balance problems do exist and the asymmetry of the matchups is the cause. The asymmetrical matchups have more consistent performance than the symmetrical ones and that happens when there is a bias that reduces the randomness of the outcomes.
Think of it this way. If we flip a coin we’d expect a perfectly random 50/50 split of heads & tails if heads & tails are perfectly symmetrical. But, if the coin is heavier on the heads side (and is thus asymmetrical), it will produce heads consistently more than tails, so the variability/randomness goes down.
The same is true for ZvZ/PvP/TvT. There is a certain element of randomness that we’d expect but for some reason ZvT/PvT/PvZ have less randomness (meaning one race is favored which reduces the randomness of the outcomes).
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They don’t have to be. They just have to have a strong enough correlation to know if “true” or “false” “is protoss overpowered”.
What do you use to tell you it’s overpowered? I can tell the race got stronger but it’s hard to tell what the line is for the race to be “OP”.
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What do you use to tell you it’s overpowered? I can tell the race got stronger but it’s hard to tell what the line is for the race to be “OP”.
He explained with numerous data and analysis which none of you PPP could refute or bother doing because none of you have any ounce of knowledge in statistics. No it is NOT hard to tell if a race is overpowered if you simply did an analysis like he has done.
Even if by miracle that somehow he has some errors in his analysis it is still 1000x better than what PPP has been doing: And that is making one line statements: “It is false”, etc, etc. and claiming it is facts.
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He explained with numerous data and analysis which none of you PPP could refute or bother doing because none of you have any ounce of knowledge in statistics
I’m not a Protoss player and I have an actual degree in statistics. Very intelligent comment