Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

JagginOff vs King 28–24 53.85%
JagginOff vs Hwoarang 26–24 52.00%
JagginOff vs Jin 25–23 52.08%
JagginOff vs Law 19–26 42.22%
JagginOff vs Heihachi 12–20 37.50%
JagginOff vs Victor 16–15 51.61%
JagginOff vs Kazuya 14–16 46.67%
JagginOff vs Steve 15–13 53.57%
JagginOff vs Lili 15–12 55.56%
JagginOff vs Reina 18–9 66.67%
JagginOff vs Dragunov 16–10 61.54%
JagginOff vs Eddy 17–9 65.38%
JagginOff vs Lidia 8–14 36.36%
JagginOff vs Asuka 11–10 52.38%
JagginOff vs Azucena 13–7 65.00%
JagginOff vs Bryan 9–8–1 52.94%
JagginOff vs Paul 4–13 23.53%
JagginOff vs Yoshimitsu 4–11 26.67%
JagginOff vs Devil Jin 7–7 50.00%
JagginOff vs Claudio 5–9 35.71%
JagginOff vs Fahkumram 9–5 64.29%
JagginOff vs Leroy 8–4 66.67%
JagginOff vs Clive 4–7 36.36%
JagginOff vs Feng 2–8 20.00%
JagginOff vs Leo 4–6 40.00%
JagginOff vs Nina 5–5 50.00%
JagginOff vs Xiaoyu 3–6 33.33%
JagginOff vs Jack-8 3–6 33.33%
JagginOff vs Alisa 2–6 25.00%
JagginOff vs Raven 5–3 62.50%
JagginOff vs Anna 3–5 37.50%
JagginOff vs Lars 4–3 57.14%
JagginOff vs Lee 3–4 42.86%
JagginOff vs Armor King 0–6 0.00%
JagginOff vs Kuma 1–4 20.00%
JagginOff vs Jun 3–1 75.00%
JagginOff vs Shaheen 2–1 66.67%
JagginOff vs Miary Zo 1–2 33.33%
JagginOff vs Zafina 2–0 100.00%
JagginOff vs Panda 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.