Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Hackerman vs King 27–27 50.00%
Hackerman vs Armor King 27–27 50.00%
Hackerman vs Jin 23–21 52.27%
Hackerman vs Jun 27–16 62.79%
Hackerman vs Steve 14–23 37.84%
Hackerman vs Yoshimitsu 18–14 56.25%
Hackerman vs Kazuya 14–18 43.75%
Hackerman vs Asuka 16–16 50.00%
Hackerman vs Bryan 13–15 46.43%
Hackerman vs Law 6–21 22.22%
Hackerman vs Hwoarang 5–18 21.74%
Hackerman vs Reina 10–13 43.48%
Hackerman vs Azucena 13–9 59.09%
Hackerman vs Lili 8–13 38.10%
Hackerman vs Victor 12–8 60.00%
Hackerman vs Heihachi 7–13 35.00%
Hackerman vs Miary Zo 10–10 50.00%
Hackerman vs Nina 7–10 41.18%
Hackerman vs Paul 8–8 50.00%
Hackerman vs Alisa 6–9 40.00%
Hackerman vs Dragunov 7–7 50.00%
Hackerman vs Lidia 7–6 53.85%
Hackerman vs Devil Jin 3–9 25.00%
Hackerman vs Raven 8–4 66.67%
Hackerman vs Eddy 4–7 36.36%
Hackerman vs Clive 6–5 54.55%
Hackerman vs Anna 5–6 45.45%
Hackerman vs Fahkumram 6–5 54.55%
Hackerman vs Lee 4–6 40.00%
Hackerman vs Leroy 5–5 50.00%
Hackerman vs Leo 1–8 11.11%
Hackerman vs Xiaoyu 2–6 25.00%
Hackerman vs Lars 2–6 25.00%
Hackerman vs Jack-8 3–4 42.86%
Hackerman vs Feng 4–3 57.14%
Hackerman vs Kuma 1–4 20.00%
Hackerman vs Zafina 2–3 40.00%
Hackerman vs Claudio 0–1 0.00%
Hackerman vs Shaheen 1–0 100.00%
Hackerman 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.