Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

latte vs Bryan 50–37 57.47%
latte vs Dragunov 33–54 37.93%
latte vs Reina 50–29 63.29%
latte vs Armor King 43–36 54.43%
latte vs Kazuya 38–33 53.52%
latte vs Asuka 34–37 47.89%
latte vs King 43–23 65.15%
latte vs Lili 26–34 43.33%
latte vs Paul 23–33 41.07%
latte vs Jin 24–21 53.33%
latte vs Jun 29–14 67.44%
latte vs Yoshimitsu 22–15 59.46%
latte vs Leo 20–17 54.05%
latte vs Hwoarang 15–21 41.67%
latte vs Steve 19–17 52.78%
latte vs Lee 15–19 44.12%
latte vs Claudio 14–17 45.16%
latte vs Xiaoyu 16–14 53.33%
latte vs Heihachi 15–15 50.00%
latte vs Anna 15–14 51.72%
latte vs Nina 15–13 53.57%
latte vs Feng 15–12 55.56%
latte vs Lars 11–16 40.74%
latte vs Law 15–11 57.69%
latte vs Miary Zo 11–15 42.31%
latte vs Eddy 9–16 36.00%
latte vs Devil Jin 11–12 47.83%
latte vs Jack-8 9–13 40.91%
latte vs Victor 11–10 52.38%
latte vs Alisa 6–12 33.33%
latte vs Lidia 1–17 5.56%
latte vs Fahkumram 10–7 58.82%
latte vs Azucena 10–6 62.50%
latte vs Leroy 7–7 50.00%
latte vs Raven 3–5 37.50%
latte vs Shaheen 4–3 57.14%
latte vs Kuma 3–4 42.86%
latte vs Clive 2–3 40.00%
latte vs Zafina 1–3 25.00%
latte vs Panda 0–3 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.