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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Tekkrenz vs Jin 98–86 53.26%
Tekkrenz vs Kazuya 66–85 43.71%
Tekkrenz vs King 71–76 48.30%
Tekkrenz vs Bryan 58–64 47.54%
Tekkrenz vs Hwoarang 62–51 54.87%
Tekkrenz vs Reina 47–57 45.19%
Tekkrenz vs Law 39–42 48.15%
Tekkrenz vs Paul 39–40 49.37%
Tekkrenz vs Steve 36–41 46.75%
Tekkrenz vs Yoshimitsu 29–46 38.67%
Tekkrenz vs Lili 40–33 54.79%
Tekkrenz vs Dragunov 30–33 47.62%
Tekkrenz vs Eddy 29–34 46.03%
Tekkrenz vs Jun 36–21 63.16%
Tekkrenz vs Heihachi 29–27 51.79%
Tekkrenz vs Devil Jin 22–29 43.14%
Tekkrenz vs Azucena 26–20 56.52%
Tekkrenz vs Lee 19–26 42.22%
Tekkrenz vs Alisa 26–17 60.47%
Tekkrenz vs Asuka 15–27 35.71%
Tekkrenz vs Feng 15–26 36.59%
Tekkrenz vs Victor 22–18 55.00%
Tekkrenz vs Nina 19–20 48.72%
Tekkrenz vs Lidia 18–16 52.94%
Tekkrenz vs Xiaoyu 14–17 45.16%
Tekkrenz vs Fahkumram 17–14 54.84%
Tekkrenz vs Jack-8 14–13 51.85%
Tekkrenz vs Lars 13–14 48.15%
Tekkrenz vs Leroy 11–16 40.74%
Tekkrenz vs Claudio 15–11 57.69%
Tekkrenz vs Leo 11–14 44.00%
Tekkrenz vs Kuma 13–11 54.17%
Tekkrenz vs Armor King 14–10 58.33%
Tekkrenz vs Raven 13–10 56.52%
Tekkrenz vs Clive 9–6 60.00%
Tekkrenz vs Zafina 7–4 63.64%
Tekkrenz vs Shaheen 8–2 80.00%
Tekkrenz vs Panda 5–5 50.00%
Tekkrenz vs Anna 6–2 75.00%
Tekkrenz vs Miary Zo 3–2 60.00%

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.