Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

boss flm vs Bryan 71–50 58.68%
boss flm vs Dragunov 66–27 70.97%
boss flm vs Kazuya 43–35 55.13%
boss flm vs King 43–32 57.33%
boss flm vs Lili 42–31 57.53%
boss flm vs Armor King 36–35 50.70%
boss flm vs Nina 51–17 75.00%
boss flm vs Hwoarang 41–26 61.19%
boss flm vs Law 48–16 75.00%
boss flm vs Yoshimitsu 44–20 68.75%
boss flm vs Fahkumram 39–24 61.90%
boss flm vs Steve 33–23 58.93%
boss flm vs Lars 24–27 47.06%
boss flm vs Lee 35–16 68.63%
boss flm vs Reina 25–24 51.02%
boss flm vs Asuka 31–17 64.58%
boss flm vs Jin 33–14 70.21%
boss flm vs Lidia 22–25 46.81%
boss flm vs Xiaoyu 32–14 69.57%
boss flm vs Paul 32–13 71.11%
boss flm vs Heihachi 18–24 42.86%
boss flm vs Feng 29–12 70.73%
boss flm vs Eddy 22–18 55.00%
boss flm vs Devil Jin 21–12 63.64%
boss flm vs Jun 19–12 61.29%
boss flm vs Victor 17–14 54.84%
boss flm vs Anna 21–10 67.74%
boss flm vs Jack-8 17–13 56.67%
boss flm vs Claudio 22–8 73.33%
boss flm vs Shaheen 20–9 68.97%
boss flm vs Leroy 17–11 60.71%
boss flm vs Raven 16–12 57.14%
boss flm vs Alisa 12–15 44.44%
boss flm vs Azucena 13–12 52.00%
boss flm vs Kuma 13–11 54.17%
boss flm vs Leo 13–10 56.52%
boss flm vs Clive 4–13 23.53%
boss flm vs Zafina 9–6 60.00%
boss flm vs Panda 1–3 25.00%
boss flm vs Miary Zo 2–2 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.