Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Neoslash vs Jin 70–64 52.24%
Neoslash vs Dragunov 64–68 48.48%
Neoslash vs Kazuya 68–61 52.71%
Neoslash vs Armor King 56–59 48.70%
Neoslash vs Steve 41–54 43.16%
Neoslash vs Paul 31–56 35.63%
Neoslash vs Fahkumram 38–49 43.68%
Neoslash vs Law 45–40 52.94%
Neoslash vs Reina 41–41 50.00%
Neoslash vs Hwoarang 47–33 58.75%
Neoslash vs King 50–29 63.29%
Neoslash vs Bryan 42–33 56.00%
Neoslash vs Asuka 43–24 64.18%
Neoslash vs Lili 33–34 49.25%
Neoslash vs Victor 45–22 67.16%
Neoslash vs Heihachi 23–43 34.85%
Neoslash vs Lars 34–21 61.82%
Neoslash vs Miary Zo 22–33 40.00%
Neoslash vs Yoshimitsu 30–23 56.60%
Neoslash vs Clive 21–30 41.18%
Neoslash vs Alisa 23–26 46.94%
Neoslash vs Xiaoyu 27–19 58.70%
Neoslash vs Devil Jin 23–22 51.11%
Neoslash vs Azucena 28–16 63.64%
Neoslash vs Lee 15–28 34.88%
Neoslash vs Leo 17–21 44.74%
Neoslash vs Jun 23–15 60.53%
Neoslash vs Claudio 19–18 51.35%
Neoslash vs Nina 21–13 61.76%
Neoslash vs Feng 15–18 45.45%
Neoslash vs Lidia 14–16 46.67%
Neoslash vs Shaheen 16–13 55.17%
Neoslash vs Jack-8 7–20 25.93%
Neoslash vs Eddy 13–13 50.00%
Neoslash vs Anna 8–16 33.33%
Neoslash vs Leroy 12–11 52.17%
Neoslash vs Raven 9–11 45.00%
Neoslash vs Kuma 10–9 52.63%
Neoslash vs Zafina 9–9 50.00%
Neoslash vs Panda 3–6 33.33%

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.