Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Neophitos vs Jin 38–32 54.29%
Neophitos vs Kazuya 39–31 55.71%
Neophitos vs King 32–33 49.23%
Neophitos vs Bryan 20–31 39.22%
Neophitos vs Paul 13–24 35.14%
Neophitos vs Steve 14–18 43.75%
Neophitos vs Yoshimitsu 16–13 55.17%
Neophitos vs Hwoarang 12–17 41.38%
Neophitos vs Eddy 15–12 55.56%
Neophitos vs Law 11–15 42.31%
Neophitos vs Reina 16–10 61.54%
Neophitos vs Jun 14–11 56.00%
Neophitos vs Lili 16–8 66.67%
Neophitos vs Dragunov 17–7 70.83%
Neophitos vs Nina 18–6 75.00%
Neophitos vs Armor King 10–13 43.48%
Neophitos vs Azucena 8–9 47.06%
Neophitos vs Victor 9–8 52.94%
Neophitos vs Asuka 11–5 68.75%
Neophitos vs Feng 4–12 25.00%
Neophitos vs Jack-8 4–9 30.77%
Neophitos vs Devil Jin 3–10 23.08%
Neophitos vs Lars 7–5 58.33%
Neophitos vs Xiaoyu 3–7 30.00%
Neophitos vs Alisa 3–6 33.33%
Neophitos vs Lee 7–2 77.78%
Neophitos vs Raven 5–4 55.56%
Neophitos vs Heihachi 3–6 33.33%
Neophitos vs Shaheen 6–2 75.00%
Neophitos vs Leo 3–4 42.86%
Neophitos vs Claudio 2–5 28.57%
Neophitos vs Kuma 2–4 33.33%
Neophitos vs Leroy 2–4 33.33%
Neophitos vs Clive 1–4 20.00%
Neophitos vs Anna 1–3 25.00%
Neophitos vs Fahkumram 2–2 50.00%
Neophitos vs Lidia 1–2 33.33%
Neophitos vs Miary Zo 0–3 0.00%
Neophitos vs Zafina 2–0 100.00%
Neophitos vs Panda 0–1 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.