Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Caffeine
2J3T-d3eh-dfM2 xbox SavageDrengr749 Europe

Ratings

Caffeine vs Kazuya 189–216 46.67%
Caffeine vs Jin 155–168 47.99%
Caffeine vs Hwoarang 116–162 41.73%
Caffeine vs Reina 133–130 50.57%
Caffeine vs King 119–141 45.77%
Caffeine vs Bryan 122–111 52.36%
Caffeine vs Lili 100–102 49.50%
Caffeine vs Paul 92–93 49.73%
Caffeine vs Law 88–87 50.29%
Caffeine vs Yoshimitsu 86–78 52.44%
Caffeine vs Heihachi 72–91 44.17%
Caffeine vs Steve 78–83 48.45%
Caffeine vs Dragunov 70–74 48.61%
Caffeine vs Jun 60–75 44.44%
Caffeine vs Devil Jin 57–72 44.19%
Caffeine vs Nina 65–62 51.18%
Caffeine vs Lee 51–69 42.50%
Caffeine vs Asuka 66–52 55.93%
Caffeine vs Eddy 57–56 50.44%
Caffeine vs Alisa 51–52 49.51%
Caffeine vs Feng 35–53 39.77%
Caffeine vs Azucena 44–40 52.38%
Caffeine vs Kuma 30–48 38.46%
Caffeine vs Jack-8 38–33 53.52%
Caffeine vs Lars 31–34 47.69%
Caffeine vs Victor 30–28 51.72%
Caffeine vs Leo 25–30 45.45%
Caffeine vs Xiaoyu 22–31 41.51%
Caffeine vs Leroy 22–31 41.51%
Caffeine vs Lidia 29–23 55.77%
Caffeine vs Clive 18–34 34.62%
Caffeine vs Raven 26–20 56.52%
Caffeine vs Claudio 15–30 33.33%
Caffeine vs Shaheen 16–26 38.10%
Caffeine vs Fahkumram 17–22 43.59%
Caffeine vs Zafina 19–12 61.29%
Caffeine vs Anna 10–16 38.46%
Caffeine vs Panda 5–15 25.00%

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.