Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Vaiper77 vs Jin 153–84 64.56%
Vaiper77 vs Kazuya 96–102 48.48%
Vaiper77 vs Hwoarang 86–68 55.84%
Vaiper77 vs King 78–58 57.35%
Vaiper77 vs Law 65–58 52.85%
Vaiper77 vs Reina 67–56 54.47%
Vaiper77 vs Bryan 53–67 44.17%
Vaiper77 vs Steve 53–59 47.32%
Vaiper77 vs Lili 36–52 40.91%
Vaiper77 vs Eddy 45–40 52.94%
Vaiper77 vs Fahkumram 33–44 42.86%
Vaiper77 vs Heihachi 40–32 55.56%
Vaiper77 vs Yoshimitsu 38–33 53.52%
Vaiper77 vs Dragunov 28–38 42.42%
Vaiper77 vs Azucena 35–30 53.85%
Vaiper77 vs Devil Jin 23–34 40.35%
Vaiper77 vs Paul 30–24 55.56%
Vaiper77 vs Jun 27–26 50.94%
Vaiper77 vs Asuka 22–29 43.14%
Vaiper77 vs Nina 30–20 60.00%
Vaiper77 vs Victor 24–22 52.17%
Vaiper77 vs Lidia 24–18 57.14%
Vaiper77 vs Clive 24–18 57.14%
Vaiper77 vs Xiaoyu 23–16 58.97%
Vaiper77 vs Anna 17–22 43.59%
Vaiper77 vs Feng 20–17 54.05%
Vaiper77 vs Lee 18–19 48.65%
Vaiper77 vs Lars 16–20 44.44%
Vaiper77 vs Leroy 18–18 50.00%
Vaiper77 vs Alisa 9–23 28.12%
Vaiper77 vs Leo 16–12 57.14%
Vaiper77 vs Jack-8 12–11 52.17%
Vaiper77 vs Kuma 13–8 61.90%
Vaiper77 vs Claudio 5–12 29.41%
Vaiper77 vs Armor King 4–12 25.00%
Vaiper77 vs Raven 3–11 21.43%
Vaiper77 vs Zafina 5–7 41.67%
Vaiper77 vs Shaheen 4–6 40.00%
Vaiper77 vs Miary Zo 5–4 55.56%
Vaiper77 vs Panda 3–2 60.00%

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.