Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kowalski vs Kazuya 155–83 65.13%
Kowalski vs Heihachi 90–60 60.00%
Kowalski vs Bryan 80–53 60.15%
Kowalski vs Reina 84–37 69.42%
Kowalski vs Dragunov 61–55 52.59%
Kowalski vs Jin 79–31 71.82%
Kowalski vs Steve 59–47 55.66%
Kowalski vs King 51–32 61.45%
Kowalski vs Lili 47–33 58.75%
Kowalski vs Paul 51–28 64.56%
Kowalski vs Hwoarang 47–29 61.84%
Kowalski vs Devil Jin 53–23 69.74%
Kowalski vs Yoshimitsu 41–27 60.29%
Kowalski vs Law 40–25 61.54%
Kowalski vs Armor King 41–22 65.08%
Kowalski vs Lee 42–19 68.85%
Kowalski vs Feng 27–25 51.92%
Kowalski vs Jun 35–17 67.31%
Kowalski vs Asuka 38–12 76.00%
Kowalski vs Miary Zo 23–24 48.94%
Kowalski vs Lars 23–18 56.10%
Kowalski vs Jack-8 23–17 57.50%
Kowalski vs Nina 23–15 60.53%
Kowalski vs Victor 19–19 50.00%
Kowalski vs Clive 19–19 50.00%
Kowalski vs Leroy 23–12 65.71%
Kowalski vs Fahkumram 18–15 54.55%
Kowalski vs Eddy 15–16 48.39%
Kowalski vs Leo 23–7 76.67%
Kowalski vs Lidia 15–12 55.56%
Kowalski vs Xiaoyu 13–13 50.00%
Kowalski vs Azucena 13–13 50.00%
Kowalski vs Alisa 19–5 79.17%
Kowalski vs Anna 13–11 54.17%
Kowalski vs Claudio 9–14 39.13%
Kowalski vs Shaheen 12–9 57.14%
Kowalski vs Kuma 12–5 70.59%
Kowalski vs Zafina 7–7 50.00%
Kowalski vs Raven 10–3 76.92%
Kowalski 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.