Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Jin mori vs Jin 111–87 56.06%
Jin mori vs Hwoarang 87–67 56.49%
Jin mori vs King 86–63 57.72%
Jin mori vs Kazuya 58–76 43.28%
Jin mori vs Bryan 59–73 44.70%
Jin mori vs Steve 60–49 55.05%
Jin mori vs Law 64–44 59.26%
Jin mori vs Paul 44–54 44.90%
Jin mori vs Dragunov 41–36 53.25%
Jin mori vs Yoshimitsu 29–34 46.03%
Jin mori vs Lili 35–27 56.45%
Jin mori vs Reina 30–29 50.85%
Jin mori vs Heihachi 30–28 51.72%
Jin mori vs Eddy 24–29 45.28%
Jin mori vs Xiaoyu 23–29 44.23%
Jin mori vs Lee 29–23 55.77%
Jin mori vs Lars 25–23 52.08%
Jin mori vs Anna 20–27 42.55%
Jin mori vs Asuka 31–15 67.39%
Jin mori vs Devil Jin 22–24 47.83%
Jin mori vs Alisa 22–24 47.83%
Jin mori vs Jun 18–21 46.15%
Jin mori vs Azucena 18–21 46.15%
Jin mori vs Victor 14–22 38.89%
Jin mori vs Armor King 14–22 38.89%
Jin mori vs Clive 13–22 37.14%
Jin mori vs Nina 20–14 58.82%
Jin mori vs Claudio 12–21 36.36%
Jin mori vs Feng 13–19 40.62%
Jin mori vs Fahkumram 12–20 37.50%
Jin mori vs Leroy 14–16 46.67%
Jin mori vs Miary Zo 18–11 62.07%
Jin mori vs Jack-8 15–13 53.57%
Jin mori vs Raven 9–17 34.62%
Jin mori vs Leo 6–15 28.57%
Jin mori vs Kuma 10–9 52.63%
Jin mori vs Zafina 8–10 44.44%
Jin mori vs Lidia 7–9 43.75%
Jin mori vs Shaheen 6–6 50.00%
Jin mori vs Panda 1–1 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.