Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Kassanelli vs Jin 30–19 61.22%
Kassanelli vs King 22–17 56.41%
Kassanelli vs Kazuya 19–18 51.35%
Kassanelli vs Hwoarang 22–13 62.86%
Kassanelli vs Reina 24–10 70.59%
Kassanelli vs Law 21–12 63.64%
Kassanelli vs Steve 16–17 48.48%
Kassanelli vs Bryan 14–15 48.28%
Kassanelli vs Eddy 15–12 55.56%
Kassanelli vs Heihachi 10–11 47.62%
Kassanelli vs Lili 8–11 42.11%
Kassanelli vs Dragunov 12–7 63.16%
Kassanelli vs Claudio 9–10 47.37%
Kassanelli vs Yoshimitsu 8–10 44.44%
Kassanelli vs Feng 9–9 50.00%
Kassanelli vs Alisa 5–13 27.78%
Kassanelli vs Asuka 7–10 41.18%
Kassanelli vs Lee 8–9 47.06%
Kassanelli vs Paul 6–10 37.50%
Kassanelli vs Devil Jin 12–4 75.00%
Kassanelli vs Clive 8–7 53.33%
Kassanelli vs Azucena 7–6 53.85%
Kassanelli vs Lars 9–3 75.00%
Kassanelli vs Victor 7–5 58.33%
Kassanelli vs Armor King 7–5 58.33%
Kassanelli vs Nina 4–7 36.36%
Kassanelli vs Leroy 5–6 45.45%
Kassanelli vs Leo 6–4 60.00%
Kassanelli vs Fahkumram 5–5 50.00%
Kassanelli vs Lidia 5–4 55.56%
Kassanelli vs Xiaoyu 5–3 62.50%
Kassanelli vs Jack-8 6–2 75.00%
Kassanelli vs Kuma 6–2 75.00%
Kassanelli vs Zafina 0–5 0.00%
Kassanelli vs Jun 0–4 0.00%
Kassanelli vs Raven 0–4 0.00%
Kassanelli vs Shaheen 0–3 0.00%
Kassanelli vs Panda 3–0 100.00%
Kassanelli vs Anna 1–2 33.33%

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.