Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

smiley vs Jin 20–43 31.75%
smiley vs King 19–36 34.55%
smiley vs Kazuya 20–32 38.46%
smiley vs Law 17–21 44.74%
smiley vs Reina 15–18 45.45%
smiley vs Lars 17–15 53.12%
smiley vs Dragunov 10–19 34.48%
smiley vs Hwoarang 7–19 26.92%
smiley vs Yoshimitsu 8–13 38.10%
smiley vs Lili 12–9 57.14%
smiley vs Eddy 10–9 52.63%
smiley vs Bryan 9–9 50.00%
smiley vs Paul 5–12 29.41%
smiley vs Jun 7–10 41.18%
smiley vs Victor 10–6 62.50%
smiley vs Steve 4–10 28.57%
smiley vs Devil Jin 4–9 30.77%
smiley vs Nina 5–7 41.67%
smiley vs Jack-8 2–8 20.00%
smiley vs Leroy 5–4 55.56%
smiley vs Asuka 3–5 37.50%
smiley vs Feng 5–3 62.50%
smiley vs Azucena 5–3 62.50%
smiley vs Alisa 2–5 28.57%
smiley vs Lee 0–7 0.00%
smiley vs Kuma 3–4 42.86%
smiley vs Claudio 0–4 0.00%
smiley vs Shaheen 1–3 25.00%
smiley vs Leo 0–2 0.00%
smiley vs Raven 0–1 0.00%
smiley vs Xiaoyu 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.