Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

gamba
owari da
mustardondabeat
downloader
ubestylin
balanced game
tetsujin
johncena
water
Denton
gamba vs Kazuya 24–21 53.33%
gamba vs Reina 31–13 70.45%
gamba vs Jin 27–9 75.00%
gamba vs Hwoarang 17–17 50.00%
gamba vs Paul 19–13 59.38%
gamba vs King 23–9 71.88%
gamba vs Bryan 18–13 58.06%
gamba vs Eddy 11–18 37.93%
gamba vs Victor 12–14 46.15%
gamba vs Jun 11–13 45.83%
gamba vs Steve 8–15 34.78%
gamba vs Azucena 15–8 65.22%
gamba vs Devil Jin 12–9 57.14%
gamba vs Yoshimitsu 13–6 68.42%
gamba vs Dragunov 8–11 42.11%
gamba vs Law 8–10 44.44%
gamba vs Jack-8 8–10 44.44%
gamba vs Feng 10–7 58.82%
gamba vs Asuka 6–8 42.86%
gamba vs Lee 5–8 38.46%
gamba vs Leo 4–8 33.33%
gamba vs Leroy 8–4 66.67%
gamba vs Lars 6–4 60.00%
gamba vs Zafina 6–4 60.00%
gamba vs Raven 4–6 40.00%
gamba vs Lili 4–5 44.44%
gamba vs Alisa 3–5 37.50%
gamba vs Shaheen 4–4 50.00%
gamba vs Xiaoyu 4–3 57.14%
gamba vs Claudio 5–2 71.43%
gamba vs Nina 5–2 71.43%
gamba vs Kuma 3–1 75.00%
gamba vs Panda 1–1 50.00%

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.