Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Novacane vs Bryan 106–76 58.24%
Novacane vs Kazuya 96–81 54.24%
Novacane vs King 75–52 59.06%
Novacane vs Heihachi 68–57 54.40%
Novacane vs Steve 81–43 65.32%
Novacane vs Lili 72–49 59.50%
Novacane vs Jin 64–49 56.64%
Novacane vs Reina 73–31 70.19%
Novacane vs Dragunov 56–46 54.90%
Novacane vs Paul 48–39 55.17%
Novacane vs Lee 45–38 54.22%
Novacane vs Eddy 46–34 57.50%
Novacane vs Hwoarang 38–36 51.35%
Novacane vs Devil Jin 41–30 57.75%
Novacane vs Feng 39–28 58.21%
Novacane vs Law 37–28 56.92%
Novacane vs Clive 40–23 63.49%
Novacane vs Yoshimitsu 30–25 54.55%
Novacane vs Asuka 37–18 67.27%
Novacane vs Azucena 27–26 50.94%
Novacane vs Jack-8 25–20 55.56%
Novacane vs Lidia 26–16 61.90%
Novacane vs Jun 12–26 31.58%
Novacane vs Xiaoyu 22–14 61.11%
Novacane vs Leo 23–12 65.71%
Novacane vs Victor 17–17 50.00%
Novacane vs Raven 14–18 43.75%
Novacane vs Alisa 7–23 23.33%
Novacane vs Claudio 15–15 50.00%
Novacane vs Anna 15–11 57.69%
Novacane vs Nina 15–10 60.00%
Novacane vs Zafina 10–14 41.67%
Novacane vs Lars 14–9 60.87%
Novacane vs Leroy 10–12 45.45%
Novacane vs Shaheen 9–9 50.00%
Novacane vs Kuma 7–10 41.18%
Novacane vs Fahkumram 6–8 42.86%
Novacane vs Armor King 4–10 28.57%
Novacane vs Panda 7–3 70.00%
Novacane vs Miary Zo 0–2 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.