Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Klyaipon vs Kazuya 105–72 59.32%
Klyaipon vs Jin 83–67 55.33%
Klyaipon vs Reina 87–57 60.42%
Klyaipon vs Dragunov 63–51 55.26%
Klyaipon vs King 55–55 50.00%
Klyaipon vs Bryan 59–48 55.14%
Klyaipon vs Law 47–36 56.63%
Klyaipon vs Steve 48–31 60.76%
Klyaipon vs Devil Jin 37–41 47.44%
Klyaipon vs Eddy 42–35 54.55%
Klyaipon vs Armor King 40–36 52.63%
Klyaipon vs Paul 41–32 56.16%
Klyaipon vs Lidia 33–36 47.83%
Klyaipon vs Yoshimitsu 31–35 46.97%
Klyaipon vs Hwoarang 36–29 55.38%
Klyaipon vs Clive 39–24 61.90%
Klyaipon vs Azucena 35–26 57.38%
Klyaipon vs Lee 34–26 56.67%
Klyaipon vs Jun 37–21 63.79%
Klyaipon vs Heihachi 30–28 51.72%
Klyaipon vs Asuka 24–30 44.44%
Klyaipon vs Lili 30–24 55.56%
Klyaipon vs Victor 35–13 72.92%
Klyaipon vs Feng 30–16 65.22%
Klyaipon vs Xiaoyu 24–13 64.86%
Klyaipon vs Nina 21–16 56.76%
Klyaipon vs Lars 17–17 50.00%
Klyaipon vs Leroy 20–14 58.82%
Klyaipon vs Jack-8 13–15 46.43%
Klyaipon vs Leo 13–13 50.00%
Klyaipon vs Kuma 12–13 48.00%
Klyaipon vs Fahkumram 14–8 63.64%
Klyaipon vs Alisa 14–7 66.67%
Klyaipon vs Miary Zo 12–8 60.00%
Klyaipon vs Raven 8–8 50.00%
Klyaipon vs Claudio 10–5 66.67%
Klyaipon vs Zafina 12–3 80.00%
Klyaipon vs Shaheen 10–4 71.43%
Klyaipon vs Anna 8–4 66.67%
Klyaipon vs Panda 1–4 20.00%

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.