Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Howdy
309mj
Kazino
CantLabDLC
TEKKEN.EXE
Howdy vs Kazuya 21–7 75.00%
Howdy vs Jin 14–12 53.85%
Howdy vs Eddy 11–15 42.31%
Howdy vs King 14–6 70.00%
Howdy vs Feng 10–7 58.82%
Howdy vs Law 10–6 62.50%
Howdy vs Hwoarang 11–4 73.33%
Howdy vs Paul 11–3 78.57%
Howdy vs Bryan 11–3 78.57%
Howdy vs Dragunov 9–5 64.29%
Howdy vs Jun 9–4 69.23%
Howdy vs Devil Jin 7–3 70.00%
Howdy vs Reina 8–2 80.00%
Howdy vs Victor 9–1 90.00%
Howdy vs Leo 2–6 25.00%
Howdy vs Alisa 6–2 75.00%
Howdy vs Nina 6–2 75.00%
Howdy vs Xiaoyu 4–3 57.14%
Howdy vs Leroy 4–3 57.14%
Howdy vs Jack-8 2–4 33.33%
Howdy vs Lars 3–3 50.00%
Howdy vs Shaheen 4–2 66.67%
Howdy vs Yoshimitsu 3–2 60.00%
Howdy vs Lee 4–1 80.00%
Howdy vs Zafina 4–1 80.00%
Howdy vs Raven 5–0 100.00%
Howdy vs Lili 3–1 75.00%
Howdy vs Kuma 2–2 50.00%
Howdy vs Asuka 2–0 100.00%
Howdy vs Claudio 2–0 100.00%
Howdy vs Azucena 2–0 100.00%
Howdy vs Steve 1–0 100.00%
Howdy vs Panda 0–1 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.