Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Kayto1010

Ratings

Kayto1010 vs Heihachi 83–61 57.64%
Kayto1010 vs Bryan 56–46 54.90%
Kayto1010 vs Jin 54–33 62.07%
Kayto1010 vs Kazuya 45–33 57.69%
Kayto1010 vs Hwoarang 43–16 72.88%
Kayto1010 vs Reina 30–28 51.72%
Kayto1010 vs Lee 34–21 61.82%
Kayto1010 vs Paul 23–28 45.10%
Kayto1010 vs Law 31–20 60.78%
Kayto1010 vs Azucena 37–14 72.55%
Kayto1010 vs King 29–21 58.00%
Kayto1010 vs Asuka 29–13 69.05%
Kayto1010 vs Devil Jin 24–14 63.16%
Kayto1010 vs Jun 18–17 51.43%
Kayto1010 vs Lars 17–17 50.00%
Kayto1010 vs Steve 11–21 34.38%
Kayto1010 vs Xiaoyu 22–9 70.97%
Kayto1010 vs Dragunov 17–14 54.84%
Kayto1010 vs Feng 19–9–1 67.86%
Kayto1010 vs Clive 20–9 68.97%
Kayto1010 vs Yoshimitsu 18–10 64.29%
Kayto1010 vs Lili 18–8 69.23%
Kayto1010 vs Jack-8 13–11 54.17%
Kayto1010 vs Leo 16–6 72.73%
Kayto1010 vs Claudio 12–10 54.55%
Kayto1010 vs Eddy 17–5 77.27%
Kayto1010 vs Raven 15–6 71.43%
Kayto1010 vs Nina 12–8 60.00%
Kayto1010 vs Leroy 10–10 50.00%
Kayto1010 vs Anna 10–10 50.00%
Kayto1010 vs Lidia 8–9 47.06%
Kayto1010 vs Fahkumram 7–9 43.75%
Kayto1010 vs Alisa 8–7 53.33%
Kayto1010 vs Zafina 6–8 42.86%
Kayto1010 vs Shaheen 6–7 46.15%
Kayto1010 vs Kuma 4–8 33.33%
Kayto1010 vs Victor 7–5 58.33%
Kayto1010 vs Panda 7–4 63.64%
Kayto1010 vs Armor King 2–3 40.00%

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.