Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Fighter Monk

Ratings

Fighter Monk vs Jin 42–60 41.18%
Fighter Monk vs Kazuya 32–42 43.24%
Fighter Monk vs Hwoarang 31–36 46.27%
Fighter Monk vs Reina 28–28 50.00%
Fighter Monk vs King 25–28 47.17%
Fighter Monk vs Eddy 24–28 46.15%
Fighter Monk vs Bryan 22–28 44.00%
Fighter Monk vs Law 21–24 46.67%
Fighter Monk vs Steve 21–16 56.76%
Fighter Monk vs Yoshimitsu 16–18 47.06%
Fighter Monk vs Devil Jin 19–13 59.38%
Fighter Monk vs Jun 17–14 54.84%
Fighter Monk vs Paul 8–21 27.59%
Fighter Monk vs Asuka 13–16 44.83%
Fighter Monk vs Lili 10–16 38.46%
Fighter Monk vs Dragunov 8–18 30.77%
Fighter Monk vs Nina 9–17 34.62%
Fighter Monk vs Azucena 11–12 47.83%
Fighter Monk vs Claudio 13–9 59.09%
Fighter Monk vs Lee 12–9 57.14%
Fighter Monk vs Xiaoyu 9–11 45.00%
Fighter Monk vs Lars 7–13 35.00%
Fighter Monk vs Alisa 5–15 25.00%
Fighter Monk vs Feng 6–12 33.33%
Fighter Monk vs Victor 10–7 58.82%
Fighter Monk vs Heihachi 6–8 42.86%
Fighter Monk vs Leo 1–10 9.09%
Fighter Monk vs Leroy 5–6 45.45%
Fighter Monk vs Jack-8 6–4 60.00%
Fighter Monk vs Raven 4–5 44.44%
Fighter Monk vs Kuma 2–6 25.00%
Fighter Monk vs Zafina 3–5 37.50%
Fighter Monk vs Panda 1–4 20.00%
Fighter Monk vs Lidia 4–0 100.00%
Fighter Monk vs Shaheen 0–3 0.00%
Fighter Monk vs Clive 1–2 33.33%

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.