Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Large Kimchi vs Reina 15–33 31.25%
Large Kimchi vs King 20–24 45.45%
Large Kimchi vs Jin 19–19 50.00%
Large Kimchi vs Hwoarang 8–20 28.57%
Large Kimchi vs Lili 15–9 62.50%
Large Kimchi vs Steve 6–17 26.09%
Large Kimchi vs Dragunov 10–13 43.48%
Large Kimchi vs Jun 10–13 43.48%
Large Kimchi vs Victor 7–13 35.00%
Large Kimchi vs Yoshimitsu 7–10 41.18%
Large Kimchi vs Lars 3–14 17.65%
Large Kimchi vs Leroy 8–9 47.06%
Large Kimchi vs Eddy 6–11 35.29%
Large Kimchi vs Jack-8 4–12 25.00%
Large Kimchi vs Leo 5–9 35.71%
Large Kimchi vs Paul 3–10 23.08%
Large Kimchi vs Law 4–9 30.77%
Large Kimchi vs Kazuya 6–6 50.00%
Large Kimchi vs Asuka 5–7 41.67%
Large Kimchi vs Kuma 6–5 54.55%
Large Kimchi vs Azucena 4–7 36.36%
Large Kimchi vs Lee 4–6 40.00%
Large Kimchi vs Xiaoyu 1–7 12.50%
Large Kimchi vs Devil Jin 1–7 12.50%
Large Kimchi vs Alisa 2–6 25.00%
Large Kimchi vs Raven 5–3 62.50%
Large Kimchi vs Bryan 1–5 16.67%
Large Kimchi vs Shaheen 1–5 16.67%
Large Kimchi vs Anna 1–4 20.00%
Large Kimchi vs Nina 2–2 50.00%
Large Kimchi vs Heihachi 0–4 0.00%
Large Kimchi vs Armor King 2–2 50.00%
Large Kimchi vs Feng 0–3 0.00%
Large Kimchi vs Claudio 1–2 33.33%
Large Kimchi vs Lidia 3–0 100.00%
Large Kimchi vs Zafina 0–2 0.00%
Large Kimchi 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.