Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Kelvin
Shadow | mango
Kelvin vs Dragunov 19–11 63.33%
Kelvin vs Eddy 20–9 68.97%
Kelvin vs Kazuya 15–11 57.69%
Kelvin vs Steve 18–6 75.00%
Kelvin vs Hwoarang 20–2 90.91%
Kelvin vs King 15–5 75.00%
Kelvin vs Paul 15–4 78.95%
Kelvin vs Jin 13–6 68.42%
Kelvin vs Feng 14–2 87.50%
Kelvin vs Lili 13–3 81.25%
Kelvin vs Victor 9–5 64.29%
Kelvin vs Devil Jin 11–2 84.62%
Kelvin vs Law 7–4 63.64%
Kelvin vs Reina 8–2 80.00%
Kelvin vs Claudio 3–6 33.33%
Kelvin vs Azucena 8–1 88.89%
Kelvin vs Asuka 5–3 62.50%
Kelvin vs Leroy 5–3 62.50%
Kelvin vs Jun 5–3 62.50%
Kelvin vs Shaheen 5–2 71.43%
Kelvin vs Xiaoyu 3–3 50.00%
Kelvin vs Bryan 6–0 100.00%
Kelvin vs Alisa 4–2 66.67%
Kelvin vs Lee 4–2 66.67%
Kelvin vs Zafina 5–1 83.33%
Kelvin vs Raven 4–2 66.67%
Kelvin vs Yoshimitsu 3–1 75.00%
Kelvin vs Jack-8 3–1 75.00%
Kelvin vs Leo 2–2 50.00%
Kelvin vs Nina 4–0 100.00%
Kelvin vs Panda 3–1 75.00%
Kelvin vs Lars 1–2 33.33%
Kelvin vs Kuma 1–0 100.00%

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.