Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Kee2TheCity

Ratings

Kee2TheCity vs Kazuya 9–32 21.95%
Kee2TheCity vs Eddy 13–28 31.71%
Kee2TheCity vs Reina 19–18 51.35%
Kee2TheCity vs Paul 14–18 43.75%
Kee2TheCity vs Hwoarang 11–21 34.38%
Kee2TheCity vs Jun 12–16 42.86%
Kee2TheCity vs Jin 12–13 48.00%
Kee2TheCity vs Steve 13–12 52.00%
Kee2TheCity vs Dragunov 13–10 56.52%
Kee2TheCity vs King 11–11 50.00%
Kee2TheCity vs Yoshimitsu 10–12 45.45%
Kee2TheCity vs Azucena 9–13 40.91%
Kee2TheCity vs Law 7–14 33.33%
Kee2TheCity vs Bryan 7–14 33.33%
Kee2TheCity vs Leroy 8–13 38.10%
Kee2TheCity vs Asuka 8–11 42.11%
Kee2TheCity vs Victor 9–9 50.00%
Kee2TheCity vs Lili 5–11 31.25%
Kee2TheCity vs Alisa 7–9 43.75%
Kee2TheCity vs Nina 9–6 60.00%
Kee2TheCity vs Leo 9–5 64.29%
Kee2TheCity vs Xiaoyu 5–7 41.67%
Kee2TheCity vs Lee 6–6 50.00%
Kee2TheCity vs Lars 6–5 54.55%
Kee2TheCity vs Feng 5–5 50.00%
Kee2TheCity vs Kuma 2–7 22.22%
Kee2TheCity vs Shaheen 4–4 50.00%
Kee2TheCity vs Jack-8 2–4 33.33%
Kee2TheCity vs Claudio 1–5 16.67%
Kee2TheCity vs Devil Jin 0–4 0.00%
Kee2TheCity vs Raven 2–2 50.00%
Kee2TheCity vs Panda 2–1 66.67%
Kee2TheCity vs Lidia 2–1 66.67%
Kee2TheCity 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.