Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LongLegs vs King 48–88 35.29%
LongLegs vs Steve 47–51 47.96%
LongLegs vs Reina 43–54 44.33%
LongLegs vs Jin 37–48 43.53%
LongLegs vs Kazuya 34–43 44.16%
LongLegs vs Azucena 25–40 38.46%
LongLegs vs Hwoarang 27–36 42.86%
LongLegs vs Dragunov 18–41 30.51%
LongLegs vs Bryan 24–33 42.11%
LongLegs vs Eddy 18–36 33.33%
LongLegs vs Jun 22–29 43.14%
LongLegs vs Paul 20–29 40.82%
LongLegs vs Yoshimitsu 19–28 40.43%
LongLegs vs Jack-8 26–15 63.41%
LongLegs vs Lars 15–26 36.59%
LongLegs vs Lili 9–31 22.50%
LongLegs vs Law 13–23 36.11%
LongLegs vs Lee 13–21 38.24%
LongLegs vs Raven 8–23 25.81%
LongLegs vs Asuka 11–19 36.67%
LongLegs vs Victor 13–15 46.43%
LongLegs vs Nina 15–12 55.56%
LongLegs vs Xiaoyu 7–18 28.00%
LongLegs vs Alisa 9–15 37.50%
LongLegs vs Claudio 14–10 58.33%
LongLegs vs Kuma 11–13 45.83%
LongLegs vs Lidia 6–18 25.00%
LongLegs vs Devil Jin 4–18 18.18%
LongLegs vs Clive 10–11 47.62%
LongLegs vs Fahkumram 5–15 25.00%
LongLegs vs Armor King 5–14 26.32%
LongLegs vs Leroy 5–12 29.41%
LongLegs vs Feng 6–10 37.50%
LongLegs vs Anna 7–9 43.75%
LongLegs vs Heihachi 9–6 60.00%
LongLegs vs Leo 8–6 57.14%
LongLegs vs Panda 5–9 35.71%
LongLegs vs Shaheen 5–4 55.56%
LongLegs vs Miary Zo 3–5 37.50%
LongLegs vs Zafina 0–2 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.