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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Dr Gonzo vs Jin 95–66 59.01%
Dr Gonzo vs Kazuya 86–75 53.42%
Dr Gonzo vs Bryan 60–47 56.07%
Dr Gonzo vs Law 58–39 59.79%
Dr Gonzo vs King 55–41 57.29%
Dr Gonzo vs Hwoarang 51–37 57.95%
Dr Gonzo vs Reina 45–42 51.72%
Dr Gonzo vs Heihachi 48–37 56.47%
Dr Gonzo vs Yoshimitsu 43–34 55.84%
Dr Gonzo vs Steve 40–32 55.56%
Dr Gonzo vs Fahkumram 32–38–1 45.71%
Dr Gonzo vs Eddy 38–29 56.72%
Dr Gonzo vs Miary Zo 25–34 42.37%
Dr Gonzo vs Armor King 25–29 46.30%
Dr Gonzo vs Paul 19–34 35.85%
Dr Gonzo vs Asuka 34–19 64.15%
Dr Gonzo vs Lee 21–28 42.86%
Dr Gonzo vs Anna 28–19 59.57%
Dr Gonzo vs Lili 24–22 52.17%
Dr Gonzo vs Clive 24–22 52.17%
Dr Gonzo vs Azucena 34–11 75.56%
Dr Gonzo vs Dragunov 24–20 54.55%
Dr Gonzo vs Nina 25–17 59.52%
Dr Gonzo vs Feng 29–12 70.73%
Dr Gonzo vs Lars 22–19 53.66%
Dr Gonzo vs Devil Jin 15–19 44.12%
Dr Gonzo vs Jun 23–11 67.65%
Dr Gonzo vs Xiaoyu 13–15 46.43%
Dr Gonzo vs Leroy 14–14 50.00%
Dr Gonzo vs Leo 18–8 69.23%
Dr Gonzo vs Claudio 12–14 46.15%
Dr Gonzo vs Victor 20–6 76.92%
Dr Gonzo vs Lidia 18–8 69.23%
Dr Gonzo vs Shaheen 12–9 57.14%
Dr Gonzo vs Kuma 10–10 50.00%
Dr Gonzo vs Alisa 10–7 58.82%
Dr Gonzo vs Jack-8 9–7 56.25%
Dr Gonzo vs Raven 5–7 41.67%
Dr Gonzo vs Zafina 8–3 72.73%
Dr Gonzo vs Panda 3–2 60.00%

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.