Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

White Len vs Kazuya 59–40 59.60%
White Len vs King 47–35 57.32%
White Len vs Jin 46–23 66.67%
White Len vs Law 34–33 50.75%
White Len vs Hwoarang 28–37 43.08%
White Len vs Heihachi 27–38 41.54%
White Len vs Lili 38–26 59.38%
White Len vs Dragunov 33–27 55.00%
White Len vs Reina 33–27 55.00%
White Len vs Steve 30–27 52.63%
White Len vs Bryan 30–25 54.55%
White Len vs Anna 23–23 50.00%
White Len vs Armor King 21–18 53.85%
White Len vs Azucena 21–15 58.33%
White Len vs Paul 20–15 57.14%
White Len vs Feng 15–19 44.12%
White Len vs Asuka 16–17 48.48%
White Len vs Alisa 20–10 66.67%
White Len vs Yoshimitsu 15–14 51.72%
White Len vs Lars 12–17 41.38%
White Len vs Eddy 15–14 51.72%
White Len vs Xiaoyu 15–12 55.56%
White Len vs Nina 17–10 62.96%
White Len vs Lidia 14–13 51.85%
White Len vs Leo 14–12 53.85%
White Len vs Lee 10–16 38.46%
White Len vs Claudio 12–13 48.00%
White Len vs Miary Zo 12–13 48.00%
White Len vs Jack-8 8–16 33.33%
White Len vs Jun 9–10 47.37%
White Len vs Leroy 9–9 50.00%
White Len vs Victor 10–7 58.82%
White Len vs Clive 7–9 43.75%
White Len vs Fahkumram 2–14 12.50%
White Len vs Devil Jin 8–5 61.54%
White Len vs Zafina 5–7 41.67%
White Len vs Raven 3–9 25.00%
White Len vs Shaheen 6–4 60.00%
White Len vs Kuma 1–0 100.00%

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.