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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Gamestro vs Kazuya 104–102 50.49%
Gamestro vs Jin 90–98 47.87%
Gamestro vs King 61–62 49.59%
Gamestro vs Bryan 53–62 46.09%
Gamestro vs Law 48–61 44.04%
Gamestro vs Reina 49–56 46.67%
Gamestro vs Dragunov 55–48 53.40%
Gamestro vs Heihachi 49–47 51.04%
Gamestro vs Hwoarang 46–49 48.42%
Gamestro vs Lili 41–54 43.16%
Gamestro vs Steve 43–46–1 48.31%
Gamestro vs Clive 39–48 44.83%
Gamestro vs Jun 40–35 53.33%
Gamestro vs Paul 28–45 38.36%
Gamestro vs Yoshimitsu 27–43 38.57%
Gamestro vs Lars 19–31 38.00%
Gamestro vs Victor 34–16 68.00%
Gamestro vs Lee 23–26 46.94%
Gamestro vs Armor King 24–25 48.98%
Gamestro vs Devil Jin 17–28 37.78%
Gamestro vs Nina 19–26 42.22%
Gamestro vs Lidia 16–29 35.56%
Gamestro vs Eddy 16–28 36.36%
Gamestro vs Alisa 17–26 39.53%
Gamestro vs Asuka 15–22 40.54%
Gamestro vs Xiaoyu 21–14 60.00%
Gamestro vs Azucena 16–18 47.06%
Gamestro vs Feng 12–19 38.71%
Gamestro vs Fahkumram 13–15 46.43%
Gamestro vs Jack-8 13–13 50.00%
Gamestro vs Claudio 9–17 34.62%
Gamestro vs Leroy 16–10 61.54%
Gamestro vs Shaheen 14–9 60.87%
Gamestro vs Leo 6–13 31.58%
Gamestro vs Anna 6–11 35.29%
Gamestro vs Raven 4–12 25.00%
Gamestro vs Zafina 6–9 40.00%
Gamestro vs Kuma 8–5 61.54%
Gamestro vs Miary Zo 4–7 36.36%
Gamestro vs Panda 2–3 40.00%

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.