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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Polaris vs Kazuya 222–246 47.44%
Polaris vs King 226–217 51.02%
Polaris vs Jin 196–231 45.90%
Polaris vs Law 148–213 41.00%
Polaris vs Steve 166–188–1 46.89%
Polaris vs Bryan 150–194 43.60%
Polaris vs Heihachi 167–146 53.35%
Polaris vs Reina 144–164 46.75%
Polaris vs Hwoarang 116–174 40.00%
Polaris vs Armor King 130–135 49.06%
Polaris vs Dragunov 102–151 40.32%
Polaris vs Fahkumram 122–113 51.91%
Polaris vs Lee 96–129 42.67%
Polaris vs Paul 95–113 45.67%
Polaris vs Xiaoyu 75–113 39.89%
Polaris vs Clive 82–101 44.81%
Polaris vs Azucena 79–102 43.65%
Polaris vs Eddy 75–99 43.10%
Polaris vs Jun 91–82 52.60%
Polaris vs Asuka 60–93 39.22%
Polaris vs Lars 62–90 40.79%
Polaris vs Lili 62–89 41.06%
Polaris vs Lidia 76–70 52.05%
Polaris vs Yoshimitsu 71–73 49.31%
Polaris vs Anna 69–65 51.49%
Polaris vs Victor 48–74 39.34%
Polaris vs Devil Jin 52–69 42.98%
Polaris vs Leo 54–63 46.15%
Polaris vs Raven 55–55 50.00%
Polaris vs Feng 37–68 35.24%
Polaris vs Nina 48–54 47.06%
Polaris vs Alisa 39–52 42.86%
Polaris vs Claudio 37–50 42.53%
Polaris vs Jack-8 40–45 47.06%
Polaris vs Leroy 41–40 50.62%
Polaris vs Miary Zo 30–34 46.88%
Polaris vs Kuma 32–31 50.79%
Polaris vs Panda 24–20 54.55%
Polaris vs Zafina 20–24 45.45%
Polaris vs Shaheen 17–23 42.50%

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.