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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Chaudhary99 vs King 99–111 47.14%
Chaudhary99 vs Jin 71–110 39.23%
Chaudhary99 vs Law 68–73 48.23%
Chaudhary99 vs Kazuya 58–82 41.43%
Chaudhary99 vs Paul 66–68 49.25%
Chaudhary99 vs Bryan 41–74 35.65%
Chaudhary99 vs Dragunov 54–54 50.00%
Chaudhary99 vs Armor King 35–73 32.41%
Chaudhary99 vs Hwoarang 33–42 44.00%
Chaudhary99 vs Heihachi 29–45 39.19%
Chaudhary99 vs Yoshimitsu 22–38 36.67%
Chaudhary99 vs Nina 32–27 54.24%
Chaudhary99 vs Eddy 23–18 56.10%
Chaudhary99 vs Steve 11–29 27.50%
Chaudhary99 vs Alisa 8–30 21.05%
Chaudhary99 vs Clive 15–20 42.86%
Chaudhary99 vs Anna 11–21 34.38%
Chaudhary99 vs Azucena 8–23 25.81%
Chaudhary99 vs Asuka 11–19 36.67%
Chaudhary99 vs Devil Jin 9–19 32.14%
Chaudhary99 vs Lars 10–15 40.00%
Chaudhary99 vs Reina 9–15 37.50%
Chaudhary99 vs Fahkumram 8–16 33.33%
Chaudhary99 vs Feng 9–14 39.13%
Chaudhary99 vs Lili 11–10 52.38%
Chaudhary99 vs Lee 9–12 42.86%
Chaudhary99 vs Xiaoyu 11–8 57.89%
Chaudhary99 vs Victor 8–9 47.06%
Chaudhary99 vs Miary Zo 4–12 25.00%
Chaudhary99 vs Jun 8–7 53.33%
Chaudhary99 vs Claudio 3–10 23.08%
Chaudhary99 vs Leo 3–8 27.27%
Chaudhary99 vs Leroy 1–6 14.29%
Chaudhary99 vs Kuma 3–3 50.00%
Chaudhary99 vs Zafina 2–4 33.33%
Chaudhary99 vs Jack-8 2–3 40.00%
Chaudhary99 vs Lidia 2–1 66.67%

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.