Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

hoit vs Kazuya 34–22 60.71%
hoit vs Paul 27–27 50.00%
hoit vs Bryan 28–21 57.14%
hoit vs King 30–17 63.83%
hoit vs Hwoarang 23–23 50.00%
hoit vs Asuka 23–21 52.27%
hoit vs Reina 23–17 57.50%
hoit vs Jin 20–19 51.28%
hoit vs Steve 17–17 50.00%
hoit vs Lili 9–22 29.03%
hoit vs Dragunov 13–17 43.33%
hoit vs Law 7–21 25.00%
hoit vs Victor 21–7 75.00%
hoit vs Alisa 12–14 46.15%
hoit vs Jun 12–9 57.14%
hoit vs Xiaoyu 12–6 66.67%
hoit vs Devil Jin 12–5 70.59%
hoit vs Feng 10–6 62.50%
hoit vs Eddy 11–5 68.75%
hoit vs Armor King 10–6 62.50%
hoit vs Yoshimitsu 10–5 66.67%
hoit vs Lee 7–7 50.00%
hoit vs Jack-8 8–5 61.54%
hoit vs Lars 8–5 61.54%
hoit vs Azucena 8–5 61.54%
hoit vs Lidia 9–4 69.23%
hoit vs Nina 3–6 33.33%
hoit vs Leo 4–4 50.00%
hoit vs Leroy 4–4 50.00%
hoit vs Claudio 5–2 71.43%
hoit vs Raven 4–3 57.14%
hoit vs Miary Zo 1–5 16.67%
hoit vs Kuma 0–3 0.00%
hoit vs Zafina 0–3 0.00%
hoit vs Shaheen 0–1 0.00%
hoit vs Panda 0–1 0.00%
hoit vs Anna 0–1 0.00%
hoit vs Fahkumram 1–0 100.00%

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.