Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Name history

Deathbydegree
Doom
Deathbydegree vs Bryan 22–8 73.33%
Deathbydegree vs Hwoarang 18–8 69.23%
Deathbydegree vs Law 17–6 73.91%
Deathbydegree vs Jin 17–6 73.91%
Deathbydegree vs Kazuya 12–10 54.55%
Deathbydegree vs Reina 13–9 59.09%
Deathbydegree vs Eddy 16–6 72.73%
Deathbydegree vs Azucena 9–11 45.00%
Deathbydegree vs King 13–5 72.22%
Deathbydegree vs Alisa 14–4 77.78%
Deathbydegree vs Lee 13–5 72.22%
Deathbydegree vs Dragunov 11–5 68.75%
Deathbydegree vs Lili 6–8 42.86%
Deathbydegree vs Lars 13–1 92.86%
Deathbydegree vs Steve 10–3 76.92%
Deathbydegree vs Jun 10–2 83.33%
Deathbydegree vs Paul 8–3 72.73%
Deathbydegree vs Lidia 3–8 27.27%
Deathbydegree vs Yoshimitsu 7–3 70.00%
Deathbydegree vs Feng 6–4 60.00%
Deathbydegree vs Nina 8–2 80.00%
Deathbydegree vs Xiaoyu 7–2 77.78%
Deathbydegree vs Asuka 5–3 62.50%
Deathbydegree vs Devil Jin 3–5 37.50%
Deathbydegree vs Raven 3–5 37.50%
Deathbydegree vs Leo 4–3 57.14%
Deathbydegree vs Shaheen 5–2 71.43%
Deathbydegree vs Victor 6–1 85.71%
Deathbydegree vs Kuma 4–1 80.00%
Deathbydegree vs Zafina 3–2 60.00%
Deathbydegree vs Jack-8 4–0 100.00%
Deathbydegree vs Leroy 2–2 50.00%
Deathbydegree vs Claudio 3–0 100.00%
Deathbydegree vs Heihachi 1–1 50.00%
Deathbydegree vs Panda 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.