Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
KendallFye
3nFn-4mty-72y6 xbox BlackAce4569 America

Ratings

KendallFye vs Reina 41–24 63.08%
KendallFye vs Kazuya 29–31 48.33%
KendallFye vs Steve 29–30 49.15%
KendallFye vs Jin 26–23 53.06%
KendallFye vs Law 19–28 40.43%
KendallFye vs Eddy 19–26 42.22%
KendallFye vs Hwoarang 22–22 50.00%
KendallFye vs King 17–26 39.53%
KendallFye vs Bryan 12–24 33.33%
KendallFye vs Jun 14–22 38.89%
KendallFye vs Dragunov 11–20 35.48%
KendallFye vs Lidia 9–20 31.03%
KendallFye vs Yoshimitsu 16–12 57.14%
KendallFye vs Asuka 13–13 50.00%
KendallFye vs Azucena 9–16 36.00%
KendallFye vs Lee 11–13 45.83%
KendallFye vs Victor 15–8 65.22%
KendallFye vs Xiaoyu 7–15 31.82%
KendallFye vs Leo 10–12 45.45%
KendallFye vs Lili 7–14 33.33%
KendallFye vs Paul 9–11 45.00%
KendallFye vs Lars 6–11 35.29%
KendallFye vs Alisa 9–6 60.00%
KendallFye vs Kuma 2–13 13.33%
KendallFye vs Leroy 7–7 50.00%
KendallFye vs Jack-8 5–7 41.67%
KendallFye vs Clive 5–7 41.67%
KendallFye vs Nina 1–10 9.09%
KendallFye vs Shaheen 3–7 30.00%
KendallFye vs Raven 5–5 50.00%
KendallFye vs Heihachi 7–3 70.00%
KendallFye vs Devil Jin 3–6 33.33%
KendallFye vs Feng 1–8 11.11%
KendallFye vs Claudio 4–2 66.67%
KendallFye vs Armor King 3–2 60.00%
KendallFye vs Panda 2–2 50.00%
KendallFye vs Zafina 2–2 50.00%

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.