Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

UndstanP vs Bryan 86–78 52.44%
UndstanP vs Kazuya 77–71 52.03%
UndstanP vs Hwoarang 75–63 54.35%
UndstanP vs Paul 60–67 47.24%
UndstanP vs Reina 63–46 57.80%
UndstanP vs King 50–54 48.08%
UndstanP vs Asuka 49–53 48.04%
UndstanP vs Jin 33–59 35.87%
UndstanP vs Dragunov 42–50 45.65%
UndstanP vs Law 41–45 47.67%
UndstanP vs Steve 25–55 31.25%
UndstanP vs Yoshimitsu 28–46 37.84%
UndstanP vs Xiaoyu 35–36 49.30%
UndstanP vs Jun 30–40 42.86%
UndstanP vs Lee 25–39 39.06%
UndstanP vs Lili 30–30 50.00%
UndstanP vs Lars 21–39 35.00%
UndstanP vs Feng 23–36 38.98%
UndstanP vs Devil Jin 18–40 31.03%
UndstanP vs Jack-8 19–34 35.85%
UndstanP vs Victor 25–28 47.17%
UndstanP vs Clive 23–30 43.40%
UndstanP vs Alisa 29–21 58.00%
UndstanP vs Nina 23–26 46.94%
UndstanP vs Heihachi 22–27 44.90%
UndstanP vs Zafina 24–19 55.81%
UndstanP vs Fahkumram 19–23 45.24%
UndstanP vs Claudio 17–24 41.46%
UndstanP vs Leo 25–15 62.50%
UndstanP vs Eddy 14–25 35.90%
UndstanP vs Leroy 21–16 56.76%
UndstanP vs Azucena 18–18 50.00%
UndstanP vs Anna 16–17 48.48%
UndstanP vs Kuma 16–9 64.00%
UndstanP vs Raven 9–16 36.00%
UndstanP vs Lidia 13–11 54.17%
UndstanP vs Shaheen 15–5 75.00%
UndstanP vs Armor King 9–9 50.00%
UndstanP vs Panda 5–3 62.50%
UndstanP vs Miary Zo 4–2 66.67%

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.