Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Smeagold
2iG7-qMM3-JMeT xbox Smeagold420 Europe

Ratings

Smeagold vs King 10–7 58.82%
Smeagold vs Azucena 7–10 41.18%
Smeagold vs Law 5–11 31.25%
Smeagold vs Dragunov 7–9 43.75%
Smeagold vs Paul 5–9 35.71%
Smeagold vs Jin 2–12 14.29%
Smeagold vs Yoshimitsu 3–8 27.27%
Smeagold vs Hwoarang 4–5 44.44%
Smeagold vs Bryan 5–3 62.50%
Smeagold vs Lili 4–4 50.00%
Smeagold vs Reina 3–5 37.50%
Smeagold vs Steve 3–4 42.86%
Smeagold vs Devil Jin 5–2 71.43%
Smeagold vs Kazuya 3–3 50.00%
Smeagold vs Jack-8 4–2 66.67%
Smeagold vs Nina 2–4 33.33%
Smeagold vs Eddy 2–3 40.00%
Smeagold vs Clive 4–1 80.00%
Smeagold vs Feng 2–2 50.00%
Smeagold vs Jun 0–4 0.00%
Smeagold vs Leo 2–1 66.67%
Smeagold vs Shaheen 2–1 66.67%
Smeagold vs Panda 1–2 33.33%
Smeagold vs Leroy 1–2 33.33%
Smeagold vs Asuka 1–0 100.00%
Smeagold vs Lee 1–0 100.00%
Smeagold vs Zafina 0–1 0.00%
Smeagold vs Victor 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.