Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Neosayen

Ratings

Neosayen vs Heihachi 64–72 47.06%
Neosayen vs Kazuya 51–75 40.48%
Neosayen vs King 42–69 37.84%
Neosayen vs Reina 53–58 47.75%
Neosayen vs Jin 31–77 28.70%
Neosayen vs Steve 51–53 49.04%
Neosayen vs Hwoarang 51–46 52.58%
Neosayen vs Dragunov 27–47 36.49%
Neosayen vs Law 30–39 43.48%
Neosayen vs Lili 27–37 42.19%
Neosayen vs Asuka 15–44 25.42%
Neosayen vs Lidia 28–31 47.46%
Neosayen vs Bryan 19–38 33.33%
Neosayen vs Azucena 26–28 48.15%
Neosayen vs Yoshimitsu 18–35 33.96%
Neosayen vs Leroy 23–30 43.40%
Neosayen vs Nina 18–31 36.73%
Neosayen vs Devil Jin 14–29 32.56%
Neosayen vs Jun 14–28 33.33%
Neosayen vs Lars 14–23 37.84%
Neosayen vs Eddy 11–25 30.56%
Neosayen vs Paul 19–16 54.29%
Neosayen vs Alisa 10–25 28.57%
Neosayen vs Zafina 13–20 39.39%
Neosayen vs Raven 11–21 34.38%
Neosayen vs Lee 18–13 58.06%
Neosayen vs Victor 10–20 33.33%
Neosayen vs Feng 3–24 11.11%
Neosayen vs Xiaoyu 8–18 30.77%
Neosayen vs Shaheen 13–11 54.17%
Neosayen vs Armor King 5–19 20.83%
Neosayen vs Kuma 8–15 34.78%
Neosayen vs Jack-8 10–11 47.62%
Neosayen vs Leo 6–12 33.33%
Neosayen vs Claudio 8–10 44.44%
Neosayen vs Clive 3–13 18.75%
Neosayen vs Fahkumram 5–6 45.45%
Neosayen vs Anna 1–9 10.00%
Neosayen vs Panda 0–3 0.00%
Neosayen 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.