Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Jamestrombone vs Clive 41–16 71.93%
Jamestrombone vs Kazuya 26–12 68.42%
Jamestrombone vs Bryan 15–14 51.72%
Jamestrombone vs Jin 15–11 57.69%
Jamestrombone vs Lee 14–10 58.33%
Jamestrombone vs Reina 19–5 79.17%
Jamestrombone vs Dragunov 12–8 60.00%
Jamestrombone vs Paul 13–5 72.22%
Jamestrombone vs Yoshimitsu 8–8 50.00%
Jamestrombone vs Hwoarang 11–5 68.75%
Jamestrombone vs Kuma 9–7 56.25%
Jamestrombone vs King 11–4 73.33%
Jamestrombone vs Victor 8–7 53.33%
Jamestrombone vs Law 5–9 35.71%
Jamestrombone vs Steve 3–10 23.08%
Jamestrombone vs Azucena 10–2 83.33%
Jamestrombone vs Jun 6–5 54.55%
Jamestrombone vs Alisa 5–5 50.00%
Jamestrombone vs Asuka 5–4 55.56%
Jamestrombone vs Feng 6–3 66.67%
Jamestrombone vs Lars 3–6 33.33%
Jamestrombone vs Leo 6–2 75.00%
Jamestrombone vs Heihachi 7–1 87.50%
Jamestrombone vs Lili 5–2 71.43%
Jamestrombone vs Eddy 2–5 28.57%
Jamestrombone vs Devil Jin 3–3 50.00%
Jamestrombone vs Raven 4–2 66.67%
Jamestrombone vs Leroy 3–2 60.00%
Jamestrombone vs Jack-8 3–1 75.00%
Jamestrombone vs Nina 0–4 0.00%
Jamestrombone vs Panda 0–4 0.00%
Jamestrombone vs Xiaoyu 3–0 100.00%
Jamestrombone vs Claudio 2–0 100.00%
Jamestrombone vs Shaheen 0–2 0.00%
Jamestrombone vs Zafina 0–2 0.00%
Jamestrombone vs Miary Zo 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.