Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Garvspark vs King 48–50 48.98%
Garvspark vs Armor King 51–44 53.68%
Garvspark vs Reina 35–54 39.33%
Garvspark vs Kazuya 41–44 48.24%
Garvspark vs Clive 37–42 46.84%
Garvspark vs Law 41–30 57.75%
Garvspark vs Hwoarang 31–32 49.21%
Garvspark vs Jin 27–34 44.26%
Garvspark vs Heihachi 28–30 48.28%
Garvspark vs Lee 25–31 44.64%
Garvspark vs Steve 27–24 52.94%
Garvspark vs Yoshimitsu 20–30 40.00%
Garvspark vs Azucena 27–22 55.10%
Garvspark vs Bryan 17–31 35.42%
Garvspark vs Dragunov 24–24 50.00%
Garvspark vs Xiaoyu 23–21 52.27%
Garvspark vs Eddy 19–22 46.34%
Garvspark vs Nina 17–21 44.74%
Garvspark vs Jun 15–22 40.54%
Garvspark vs Devil Jin 13–19 40.62%
Garvspark vs Paul 12–17 41.38%
Garvspark vs Asuka 5–24 17.24%
Garvspark vs Lili 12–17 41.38%
Garvspark vs Alisa 16–13 55.17%
Garvspark vs Fahkumram 13–15 46.43%
Garvspark vs Lidia 16–11 59.26%
Garvspark vs Leo 11–15 42.31%
Garvspark vs Anna 10–16 38.46%
Garvspark vs Leroy 11–13 45.83%
Garvspark vs Lars 9–14 39.13%
Garvspark vs Jack-8 15–6 71.43%
Garvspark vs Raven 6–15 28.57%
Garvspark vs Feng 11–9 55.00%
Garvspark vs Claudio 8–7 53.33%
Garvspark vs Kuma 4–9 30.77%
Garvspark vs Zafina 6–4 60.00%
Garvspark vs Victor 3–7 30.00%
Garvspark vs Shaheen 5–4 55.56%
Garvspark vs Panda 5–4 55.56%

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.