Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kor_gallivan vs Dragunov 44–50 46.81%
kor_gallivan vs Hwoarang 41–44 48.24%
kor_gallivan vs Reina 43–41 51.19%
kor_gallivan vs Paul 51–31 62.20%
kor_gallivan vs King 31–41 43.06%
kor_gallivan vs Lili 36–28 56.25%
kor_gallivan vs Kazuya 28–32 46.67%
kor_gallivan vs Jin 21–37 36.21%
kor_gallivan vs Bryan 24–33 42.11%
kor_gallivan vs Steve 18–28 39.13%
kor_gallivan vs Feng 19–22 46.34%
kor_gallivan vs Victor 21–20 51.22%
kor_gallivan vs Yoshimitsu 19–21 47.50%
kor_gallivan vs Asuka 14–25 35.90%
kor_gallivan vs Lidia 14–25 35.90%
kor_gallivan vs Law 25–13 65.79%
kor_gallivan vs Devil Jin 18–16 52.94%
kor_gallivan vs Lee 14–19 42.42%
kor_gallivan vs Clive 16–17 48.48%
kor_gallivan vs Xiaoyu 10–22 31.25%
kor_gallivan vs Lars 13–19 40.62%
kor_gallivan vs Azucena 11–17 39.29%
kor_gallivan vs Heihachi 9–17 34.62%
kor_gallivan vs Nina 5–18 21.74%
kor_gallivan vs Alisa 10–12 45.45%
kor_gallivan vs Jun 9–13 40.91%
kor_gallivan vs Claudio 6–14 30.00%
kor_gallivan vs Leo 7–12 36.84%
kor_gallivan vs Jack-8 8–10 44.44%
kor_gallivan vs Kuma 4–14 22.22%
kor_gallivan vs Raven 12–3 80.00%
kor_gallivan vs Leroy 4–7 36.36%
kor_gallivan vs Shaheen 1–8 11.11%
kor_gallivan vs Zafina 7–2 77.78%
kor_gallivan vs Eddy 0–5 0.00%
kor_gallivan vs Panda 4–0 100.00%

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.