Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

‎ ‎ ‎ ‎
Tifa Rockhard
you know why
why?????????
AzuGoonster
bouncy melons
SweatyLatina
Sweaty Melons
bouncing melons
‎ ‎ ‎ ‎ vs Jin 53–42 55.79%
‎ ‎ ‎ ‎ vs Dragunov 46–34 57.50%
‎ ‎ ‎ ‎ vs Kazuya 36–20 64.29%
‎ ‎ ‎ ‎ vs Devil Jin 30–26 53.57%
‎ ‎ ‎ ‎ vs Reina 31–25 55.36%
‎ ‎ ‎ ‎ vs Yoshimitsu 30–24 55.56%
‎ ‎ ‎ ‎ vs Bryan 22–27 44.90%
‎ ‎ ‎ ‎ vs Steve 28–18 60.87%
‎ ‎ ‎ ‎ vs King 18–27 40.00%
‎ ‎ ‎ ‎ vs Victor 25–19 56.82%
‎ ‎ ‎ ‎ vs Lili 24–12 66.67%
‎ ‎ ‎ ‎ vs Azucena 27–9 75.00%
‎ ‎ ‎ ‎ vs Hwoarang 19–15 55.88%
‎ ‎ ‎ ‎ vs Law 14–14 50.00%
‎ ‎ ‎ ‎ vs Leo 9–18 33.33%
‎ ‎ ‎ ‎ vs Lee 12–11 52.17%
‎ ‎ ‎ ‎ vs Eddy 16–7 69.57%
‎ ‎ ‎ ‎ vs Xiaoyu 5–17 22.73%
‎ ‎ ‎ ‎ vs Claudio 10–12 45.45%
‎ ‎ ‎ ‎ vs Heihachi 7–14 33.33%
‎ ‎ ‎ ‎ vs Asuka 7–13 35.00%
‎ ‎ ‎ ‎ vs Nina 9–9 50.00%
‎ ‎ ‎ ‎ vs Feng 5–12 29.41%
‎ ‎ ‎ ‎ vs Jun 14–3 82.35%
‎ ‎ ‎ ‎ vs Lars 4–11 26.67%
‎ ‎ ‎ ‎ vs Lidia 4–10 28.57%
‎ ‎ ‎ ‎ vs Leroy 3–9 25.00%
‎ ‎ ‎ ‎ vs Paul 5–5 50.00%
‎ ‎ ‎ ‎ vs Jack-8 6–4 60.00%
‎ ‎ ‎ ‎ vs Shaheen 4–6 40.00%
‎ ‎ ‎ ‎ vs Alisa 8–1 88.89%
‎ ‎ ‎ ‎ vs Kuma 4–3 57.14%
‎ ‎ ‎ ‎ vs Raven 5–2 71.43%
‎ ‎ ‎ ‎ vs Zafina 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.