Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

marinelover0730 vs Jin 54–44 55.10%
marinelover0730 vs Hwoarang 52–44 54.17%
marinelover0730 vs King 39–47 45.35%
marinelover0730 vs Yoshimitsu 57–28 67.06%
marinelover0730 vs Kazuya 33–45 42.31%
marinelover0730 vs Bryan 45–31 59.21%
marinelover0730 vs Dragunov 45–30 60.00%
marinelover0730 vs Reina 45–30 60.00%
marinelover0730 vs Law 29–32 47.54%
marinelover0730 vs Steve 28–28 50.00%
marinelover0730 vs Lili 27–25 51.92%
marinelover0730 vs Paul 25–26 49.02%
marinelover0730 vs Lee 23–21 52.27%
marinelover0730 vs Devil Jin 21–20 51.22%
marinelover0730 vs Lars 21–20 51.22%
marinelover0730 vs Victor 16–23 41.03%
marinelover0730 vs Xiaoyu 19–19 50.00%
marinelover0730 vs Feng 19–19 50.00%
marinelover0730 vs Azucena 13–25 34.21%
marinelover0730 vs Nina 15–21 41.67%
marinelover0730 vs Alisa 9–23 28.12%
marinelover0730 vs Jun 15–15 50.00%
marinelover0730 vs Asuka 11–15 42.31%
marinelover0730 vs Eddy 15–11 57.69%
marinelover0730 vs Kuma 11–14 44.00%
marinelover0730 vs Jack-8 14–9 60.87%
marinelover0730 vs Leroy 8–13 38.10%
marinelover0730 vs Raven 11–8 57.89%
marinelover0730 vs Leo 10–8 55.56%
marinelover0730 vs Claudio 3–15 16.67%
marinelover0730 vs Zafina 7–8 46.67%
marinelover0730 vs Shaheen 2–5 28.57%
marinelover0730 vs Panda 4–1 80.00%

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.