Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

MarkWave vs Kazuya 81–58 58.27%
MarkWave vs King 52–70 42.62%
MarkWave vs Armor King 45–68 39.82%
MarkWave vs Asuka 57–53 51.82%
MarkWave vs Paul 43–57 43.00%
MarkWave vs Lili 40–60 40.00%
MarkWave vs Reina 50–45 52.63%
MarkWave vs Jin 42–48–1 46.67%
MarkWave vs Bryan 43–48 47.25%
MarkWave vs Dragunov 38–42 47.50%
MarkWave vs Clive 32–38 45.71%
MarkWave vs Heihachi 34–35 49.28%
MarkWave vs Law 27–36 42.86%
MarkWave vs Anna 37–26 58.73%
MarkWave vs Devil Jin 25–31 44.64%
MarkWave vs Nina 26–28 48.15%
MarkWave vs Lidia 20–27 42.55%
MarkWave vs Azucena 20–26 43.48%
MarkWave vs Hwoarang 14–31 31.11%
MarkWave vs Jack-8 20–25 44.44%
MarkWave vs Steve 26–18 59.09%
MarkWave vs Eddy 21–21 50.00%
MarkWave vs Victor 21–19 52.50%
MarkWave vs Xiaoyu 15–24 38.46%
MarkWave vs Jun 17–22 43.59%
MarkWave vs Yoshimitsu 17–19 47.22%
MarkWave vs Leo 18–18 50.00%
MarkWave vs Miary Zo 10–25 28.57%
MarkWave vs Feng 11–21 34.38%
MarkWave vs Fahkumram 11–19 36.67%
MarkWave vs Lee 19–9 67.86%
MarkWave vs Zafina 7–19 26.92%
MarkWave vs Lars 9–16 36.00%
MarkWave vs Shaheen 17–7 70.83%
MarkWave vs Kuma 9–12 42.86%
MarkWave vs Alisa 9–11 45.00%
MarkWave vs Claudio 6–14 30.00%
MarkWave vs Leroy 6–5 54.55%
MarkWave vs Panda 3–7 30.00%
MarkWave vs Raven 1–6 14.29%

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.