Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

temperature
bam bam
zev love x
krule
cadet
fedex
nephew
d-rko
darko
mishimafan47
3.5 to the face
Darko
learning
sryfor1&done
learning stick
jim tekken
lidia = 1&done
tekkenplayer47
jim mishima
- Zay
Lord
Zay :)
Revolver
Revolver Ocelot
Von Doom
EWGF Spammer
Aphex
HaveANiceLife
IHearVoices
temperature vs Kazuya 254–181 58.39%
temperature vs Reina 211–118 64.13%
temperature vs Bryan 166–133 55.52%
temperature vs Jin 166–103 61.71%
temperature vs Heihachi 149–104 58.89%
temperature vs Steve 138–101 57.74%
temperature vs Paul 121–87 58.17%
temperature vs King 101–101 50.00%
temperature vs Dragunov 125–67 65.10%
temperature vs Hwoarang 78–80 49.37%
temperature vs Devil Jin 85–72 54.14%
temperature vs Lidia 78–76 50.65%
temperature vs Law 77–74 50.99%
temperature vs Lee 56–89 38.62%
temperature vs Lili 73–66 52.52%
temperature vs Yoshimitsu 57–68 45.60%
temperature vs Eddy 56–62 47.46%
temperature vs Jun 62–54 53.45%
temperature vs Azucena 61–49 55.45%
temperature vs Feng 67–39 63.21%
temperature vs Leo 49–55 47.12%
temperature vs Asuka 44–57 43.56%
temperature vs Lars 40–56 41.67%
temperature vs Victor 50–45 52.63%
temperature vs Xiaoyu 43–48 47.25%
temperature vs Clive 56–32 63.64%
temperature vs Nina 43–44 49.43%
temperature vs Leroy 37–39 48.68%
temperature vs Jack-8 34–41 45.33%
temperature vs Claudio 25–41 37.88%
temperature vs Raven 32–30 51.61%
temperature vs Shaheen 22–38 36.67%
temperature vs Zafina 25–31 44.64%
temperature vs Alisa 21–29 42.00%
temperature vs Kuma 12–12 50.00%
temperature vs Panda 4–7 36.36%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.