Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

FTnight14 vs Steve 50–31 61.73%
FTnight14 vs Jin 23–42 35.38%
FTnight14 vs Kazuya 28–31 47.46%
FTnight14 vs Reina 32–27 54.24%
FTnight14 vs Bryan 14–28 33.33%
FTnight14 vs Lili 21–21 50.00%
FTnight14 vs King 14–23 37.84%
FTnight14 vs Law 18–18 50.00%
FTnight14 vs Victor 16–18 47.06%
FTnight14 vs Lars 8–23 25.81%
FTnight14 vs Yoshimitsu 11–17 39.29%
FTnight14 vs Dragunov 6–21 22.22%
FTnight14 vs Asuka 10–16 38.46%
FTnight14 vs Hwoarang 6–19 24.00%
FTnight14 vs Leo 9–13 40.91%
FTnight14 vs Clive 10–10 50.00%
FTnight14 vs Devil Jin 10–9 52.63%
FTnight14 vs Jun 8–9 47.06%
FTnight14 vs Armor King 5–11 31.25%
FTnight14 vs Paul 2–13 13.33%
FTnight14 vs Xiaoyu 6–8 42.86%
FTnight14 vs Claudio 1–12 7.69%
FTnight14 vs Eddy 4–9 30.77%
FTnight14 vs Fahkumram 5–6 45.45%
FTnight14 vs Lidia 3–7 30.00%
FTnight14 vs Feng 4–5 44.44%
FTnight14 vs Alisa 6–3 66.67%
FTnight14 vs Nina 3–6 33.33%
FTnight14 vs Jack-8 4–4 50.00%
FTnight14 vs Lee 3–5 37.50%
FTnight14 vs Leroy 3–5 37.50%
FTnight14 vs Azucena 5–3 62.50%
FTnight14 vs Heihachi 4–3 57.14%
FTnight14 vs Miary Zo 1–6 14.29%
FTnight14 vs Shaheen 1–5 16.67%
FTnight14 vs Zafina 2–3 40.00%
FTnight14 vs Raven 1–3 25.00%
FTnight14 vs Anna 2–2 50.00%
FTnight14 vs Kuma 1–2 33.33%
FTnight14 vs Panda 0–2 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.