Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Wolf2480 vs Jin 50–75 40.00%
Wolf2480 vs Kazuya 45–77 36.89%
Wolf2480 vs King 40–77 34.19%
Wolf2480 vs Reina 45–72 38.46%
Wolf2480 vs Steve 39–62 38.61%
Wolf2480 vs Law 36–63 36.36%
Wolf2480 vs Hwoarang 50–48 51.02%
Wolf2480 vs Yoshimitsu 33–50 39.76%
Wolf2480 vs Bryan 28–53 34.57%
Wolf2480 vs Armor King 24–53 31.17%
Wolf2480 vs Lidia 29–47 38.16%
Wolf2480 vs Eddy 27–48 36.00%
Wolf2480 vs Paul 21–37 36.21%
Wolf2480 vs Azucena 18–39 31.58%
Wolf2480 vs Nina 23–33 41.07%
Wolf2480 vs Heihachi 15–41 26.79%
Wolf2480 vs Dragunov 26–27 49.06%
Wolf2480 vs Lars 20–32 38.46%
Wolf2480 vs Lee 27–20 57.45%
Wolf2480 vs Xiaoyu 17–27 38.64%
Wolf2480 vs Asuka 16–27 37.21%
Wolf2480 vs Jun 20–23 46.51%
Wolf2480 vs Lili 16–26 38.10%
Wolf2480 vs Devil Jin 13–26 33.33%
Wolf2480 vs Jack-8 15–23 39.47%
Wolf2480 vs Raven 14–20 41.18%
Wolf2480 vs Victor 12–18 40.00%
Wolf2480 vs Leroy 13–16 44.83%
Wolf2480 vs Alisa 14–14 50.00%
Wolf2480 vs Shaheen 15–11 57.69%
Wolf2480 vs Leo 8–17 32.00%
Wolf2480 vs Kuma 2–22 8.33%
Wolf2480 vs Zafina 5–19 20.83%
Wolf2480 vs Anna 10–13 43.48%
Wolf2480 vs Fahkumram 7–14 33.33%
Wolf2480 vs Clive 9–10 47.37%
Wolf2480 vs Claudio 5–13 27.78%
Wolf2480 vs Miary Zo 7–11 38.89%
Wolf2480 vs Feng 3–10 23.08%
Wolf2480 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.