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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Training sorry. vs Jin 393–422 48.22%
Training sorry. vs Kazuya 371–410 47.50%
Training sorry. vs Reina 328–239 57.85%
Training sorry. vs Dragunov 264–282 48.35%
Training sorry. vs Bryan 250–295 45.87%
Training sorry. vs King 213–261 44.94%
Training sorry. vs Steve 171–180 48.72%
Training sorry. vs Heihachi 153–157–1 49.35%
Training sorry. vs Yoshimitsu 151–149 50.33%
Training sorry. vs Devil Jin 145–148 49.49%
Training sorry. vs Hwoarang 128–146 46.72%
Training sorry. vs Lili 136–130 51.13%
Training sorry. vs Law 122–134 47.66%
Training sorry. vs Jun 128–128 50.00%
Training sorry. vs Victor 133–121 52.36%
Training sorry. vs Lee 103–122 45.78%
Training sorry. vs Lars 112–96 53.85%
Training sorry. vs Asuka 105–99 51.47%
Training sorry. vs Paul 83–118 41.29%
Training sorry. vs Clive 87–92 48.60%
Training sorry. vs Lidia 80–82 49.38%
Training sorry. vs Xiaoyu 68–84 44.74%
Training sorry. vs Nina 68–81 45.64%
Training sorry. vs Claudio 63–82 43.45%
Training sorry. vs Alisa 68–76 47.22%
Training sorry. vs Azucena 81–58 58.27%
Training sorry. vs Leo 64–63 50.39%
Training sorry. vs Jack-8 53–66 44.54%
Training sorry. vs Feng 45–73 38.14%
Training sorry. vs Eddy 60–57 51.28%
Training sorry. vs Leroy 54–61 46.96%
Training sorry. vs Shaheen 50–58 46.30%
Training sorry. vs Raven 30–53 36.14%
Training sorry. vs Fahkumram 32–29 52.46%
Training sorry. vs Anna 23–22 51.11%
Training sorry. vs Zafina 17–26 39.53%
Training sorry. vs Kuma 19–23 45.24%
Training sorry. vs Panda 8–12 40.00%
Training sorry. vs Armor King 2–7 22.22%
Training sorry. vs Miary Zo 0–1 0.00%

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.