Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KMTGamez vs King 14–13 51.85%
KMTGamez vs Lidia 8–11 42.11%
KMTGamez vs Jin 9–9 50.00%
KMTGamez vs Law 9–8 52.94%
KMTGamez vs Leroy 6–7 46.15%
KMTGamez vs Kazuya 9–2 81.82%
KMTGamez vs Jun 6–5 54.55%
KMTGamez vs Steve 7–3 70.00%
KMTGamez vs Reina 6–3 66.67%
KMTGamez vs Azucena 5–3 62.50%
KMTGamez vs Victor 4–3 57.14%
KMTGamez vs Xiaoyu 2–4 33.33%
KMTGamez vs Dragunov 4–2 66.67%
KMTGamez vs Lee 3–3 50.00%
KMTGamez vs Kuma 4–2 66.67%
KMTGamez vs Lars 3–2 60.00%
KMTGamez vs Feng 2–2 50.00%
KMTGamez vs Lili 4–0 100.00%
KMTGamez vs Paul 1–2 33.33%
KMTGamez vs Alisa 3–0 100.00%
KMTGamez vs Nina 1–2 33.33%
KMTGamez vs Yoshimitsu 2–0 100.00%
KMTGamez vs Bryan 2–0 100.00%
KMTGamez vs Shaheen 0–2 0.00%
KMTGamez vs Zafina 2–0 100.00%
KMTGamez vs Hwoarang 0–1 0.00%
KMTGamez vs Devil Jin 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.