Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Knifeedge vs Jin 17–41 29.31%
Knifeedge vs Reina 28–24 53.85%
Knifeedge vs Kazuya 18–32 36.00%
Knifeedge vs King 14–30 31.82%
Knifeedge vs Law 8–29 21.62%
Knifeedge vs Hwoarang 18–19 48.65%
Knifeedge vs Steve 14–20 41.18%
Knifeedge vs Heihachi 14–20 41.18%
Knifeedge vs Bryan 11–22 33.33%
Knifeedge vs Jun 16–14 53.33%
Knifeedge vs Asuka 12–17 41.38%
Knifeedge vs Victor 13–14 48.15%
Knifeedge vs Lili 10–16 38.46%
Knifeedge vs Dragunov 8–17 32.00%
Knifeedge vs Nina 12–13 48.00%
Knifeedge vs Lee 10–15 40.00%
Knifeedge vs Lidia 11–12 47.83%
Knifeedge vs Yoshimitsu 6–16 27.27%
Knifeedge vs Azucena 6–14 30.00%
Knifeedge vs Xiaoyu 7–12 36.84%
Knifeedge vs Armor King 3–16 15.79%
Knifeedge vs Alisa 4–12 25.00%
Knifeedge vs Eddy 6–10 37.50%
Knifeedge vs Devil Jin 3–12 20.00%
Knifeedge vs Lars 1–13 7.14%
Knifeedge vs Leroy 6–8 42.86%
Knifeedge vs Leo 5–8 38.46%
Knifeedge vs Clive 5–8 38.46%
Knifeedge vs Paul 6–6 50.00%
Knifeedge vs Jack-8 4–7 36.36%
Knifeedge vs Fahkumram 2–9 18.18%
Knifeedge vs Feng 2–8 20.00%
Knifeedge vs Anna 3–7 30.00%
Knifeedge vs Kuma 1–4 20.00%
Knifeedge vs Shaheen 1–3 25.00%
Knifeedge vs Zafina 1–3 25.00%
Knifeedge vs Claudio 2–1 66.67%
Knifeedge vs Raven 0–3 0.00%
Knifeedge vs Miary Zo 3–0 100.00%
Knifeedge vs Panda 0–1 0.00%

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.