Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Tarnished

Ratings

Tarnished vs King 62–62 50.00%
Tarnished vs Jin 38–47 44.71%
Tarnished vs Reina 44–38 53.66%
Tarnished vs Kazuya 34–45 43.04%
Tarnished vs Hwoarang 32–36 47.06%
Tarnished vs Steve 34–27 55.74%
Tarnished vs Yoshimitsu 27–32 45.76%
Tarnished vs Dragunov 33–21 61.11%
Tarnished vs Jun 16–34 32.00%
Tarnished vs Eddy 17–33 34.00%
Tarnished vs Lars 24–21 53.33%
Tarnished vs Azucena 18–27 40.00%
Tarnished vs Bryan 19–21 47.50%
Tarnished vs Lili 16–24 40.00%
Tarnished vs Lee 19–18 51.35%
Tarnished vs Heihachi 17–20 45.95%
Tarnished vs Asuka 15–17 46.88%
Tarnished vs Victor 12–18 40.00%
Tarnished vs Law 10–17 37.04%
Tarnished vs Xiaoyu 13–12 52.00%
Tarnished vs Nina 8–15 34.78%
Tarnished vs Raven 9–13 40.91%
Tarnished vs Devil Jin 12–9 57.14%
Tarnished vs Leo 8–11 42.11%
Tarnished vs Lidia 4–14 22.22%
Tarnished vs Feng 8–9 47.06%
Tarnished vs Alisa 10–7 58.82%
Tarnished vs Kuma 12–5 70.59%
Tarnished vs Leroy 7–10 41.18%
Tarnished vs Anna 8–8 50.00%
Tarnished vs Paul 5–10 33.33%
Tarnished vs Clive 7–2 77.78%
Tarnished vs Armor King 4–4 50.00%
Tarnished vs Jack-8 2–4 33.33%
Tarnished vs Claudio 2–4 33.33%
Tarnished vs Zafina 2–4 33.33%
Tarnished vs Fahkumram 4–1 80.00%
Tarnished vs Miary Zo 4–0 100.00%
Tarnished vs Shaheen 3–0 100.00%

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.