Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kitchengun vs Kazuya 20–12 62.50%
Kitchengun vs Reina 21–10 67.74%
Kitchengun vs Paul 20–9 68.97%
Kitchengun vs Heihachi 20–8 71.43%
Kitchengun vs Dragunov 13–12 52.00%
Kitchengun vs King 11–12 47.83%
Kitchengun vs Hwoarang 13–9 59.09%
Kitchengun vs Asuka 9–12 42.86%
Kitchengun vs Steve 12–7 63.16%
Kitchengun vs Bryan 8–10 44.44%
Kitchengun vs Victor 8–10 44.44%
Kitchengun vs Jin 13–3 81.25%
Kitchengun vs Armor King 4–12 25.00%
Kitchengun vs Law 9–6 60.00%
Kitchengun vs Devil Jin 7–6 53.85%
Kitchengun vs Lars 7–5 58.33%
Kitchengun vs Lee 5–5 50.00%
Kitchengun vs Feng 3–6 33.33%
Kitchengun vs Jun 4–5 44.44%
Kitchengun vs Anna 6–2 75.00%
Kitchengun vs Lidia 3–4 42.86%
Kitchengun vs Xiaoyu 4–2 66.67%
Kitchengun vs Jack-8 4–1 80.00%
Kitchengun vs Lili 2–3 40.00%
Kitchengun vs Clive 2–3 40.00%
Kitchengun vs Miary Zo 3–2 60.00%
Kitchengun vs Yoshimitsu 1–3 25.00%
Kitchengun vs Azucena 2–2 50.00%
Kitchengun vs Claudio 1–2 33.33%
Kitchengun vs Shaheen 1–2 33.33%
Kitchengun vs Nina 2–1 66.67%
Kitchengun vs Raven 2–1 66.67%
Kitchengun vs Kuma 0–2 0.00%
Kitchengun vs Leroy 2–0 100.00%
Kitchengun vs Leo 1–0 100.00%
Kitchengun vs Panda 1–0 100.00%
Kitchengun vs Zafina 0–1 0.00%
Kitchengun vs Eddy 1–0 100.00%
Kitchengun vs Fahkumram 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.