Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Garn Barn vs Reina 43–28 60.56%
Garn Barn vs King 48–16 75.00%
Garn Barn vs Fahkumram 26–15 63.41%
Garn Barn vs Kazuya 22–18 55.00%
Garn Barn vs Law 20–13 60.61%
Garn Barn vs Jin 14–19 42.42%
Garn Barn vs Clive 21–9 70.00%
Garn Barn vs Yoshimitsu 20–8 71.43%
Garn Barn vs Asuka 14–13 51.85%
Garn Barn vs Azucena 20–7 74.07%
Garn Barn vs Lidia 19–8 70.37%
Garn Barn vs Steve 12–14 46.15%
Garn Barn vs Lee 8–17 32.00%
Garn Barn vs Heihachi 12–12 50.00%
Garn Barn vs Dragunov 11–10 52.38%
Garn Barn vs Jun 11–8 57.89%
Garn Barn vs Lili 11–7 61.11%
Garn Barn vs Xiaoyu 14–3 82.35%
Garn Barn vs Feng 8–9 47.06%
Garn Barn vs Claudio 7–9 43.75%
Garn Barn vs Victor 11–5 68.75%
Garn Barn vs Hwoarang 3–12 20.00%
Garn Barn vs Leo 11–4 73.33%
Garn Barn vs Eddy 9–5 64.29%
Garn Barn vs Paul 7–6 53.85%
Garn Barn vs Alisa 9–4 69.23%
Garn Barn vs Leroy 7–6 53.85%
Garn Barn vs Bryan 5–7 41.67%
Garn Barn vs Lars 7–5 58.33%
Garn Barn vs Nina 4–8 33.33%
Garn Barn vs Armor King 9–3 75.00%
Garn Barn vs Kuma 7–3 70.00%
Garn Barn vs Anna 5–5 50.00%
Garn Barn vs Devil Jin 5–3 62.50%
Garn Barn vs Jack-8 3–4 42.86%
Garn Barn vs Shaheen 4–2 66.67%
Garn Barn vs Miary Zo 4–2 66.67%
Garn Barn vs Raven 0–4 0.00%
Garn Barn vs Panda 1–2 33.33%
Garn Barn vs Zafina 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.