Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Monte Carlo vs Reina 24–23 51.06%
Monte Carlo vs King 19–23 45.24%
Monte Carlo vs Hwoarang 16–18 47.06%
Monte Carlo vs Jun 11–17–1 39.29%
Monte Carlo vs Kazuya 11–15 42.31%
Monte Carlo vs Victor 9–17 34.62%
Monte Carlo vs Law 12–13 48.00%
Monte Carlo vs Yoshimitsu 12–13 48.00%
Monte Carlo vs Jin 9–15 37.50%
Monte Carlo vs Steve 8–16 33.33%
Monte Carlo vs Lili 6–16 27.27%
Monte Carlo vs Eddy 5–17 22.73%
Monte Carlo vs Nina 4–16 20.00%
Monte Carlo vs Bryan 4–13 23.53%
Monte Carlo vs Dragunov 4–13 23.53%
Monte Carlo vs Leroy 4–13 23.53%
Monte Carlo vs Azucena 7–10 41.18%
Monte Carlo vs Asuka 4–12 25.00%
Monte Carlo vs Feng 5–11 31.25%
Monte Carlo vs Xiaoyu 7–7 50.00%
Monte Carlo vs Shaheen 2–9 18.18%
Monte Carlo vs Zafina 4–7 36.36%
Monte Carlo vs Devil Jin 5–4 55.56%
Monte Carlo vs Leo 4–5 44.44%
Monte Carlo vs Lidia 4–5 44.44%
Monte Carlo vs Alisa 1–7 12.50%
Monte Carlo vs Jack-8 1–6 14.29%
Monte Carlo vs Claudio 0–7 0.00%
Monte Carlo vs Lee 0–7 0.00%
Monte Carlo vs Lars 3–3 50.00%
Monte Carlo vs Raven 2–2 50.00%
Monte Carlo vs Paul 2–1 66.67%
Monte Carlo vs Kuma 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.