Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Parkensins vs Kazuya 27–19 58.70%
Parkensins vs Dragunov 32–13 71.11%
Parkensins vs Reina 31–11 73.81%
Parkensins vs Heihachi 21–20 51.22%
Parkensins vs King 28–12 70.00%
Parkensins vs Armor King 23–10 69.70%
Parkensins vs Steve 13–18 41.94%
Parkensins vs Yoshimitsu 12–16 42.86%
Parkensins vs Jin 15–10 60.00%
Parkensins vs Eddy 19–6 76.00%
Parkensins vs Lili 16–6 72.73%
Parkensins vs Law 12–9 57.14%
Parkensins vs Hwoarang 9–10 47.37%
Parkensins vs Alisa 12–4 75.00%
Parkensins vs Leo 8–7 53.33%
Parkensins vs Lars 6–9 40.00%
Parkensins vs Bryan 7–7 50.00%
Parkensins vs Paul 9–4 69.23%
Parkensins vs Lee 7–6 53.85%
Parkensins vs Xiaoyu 10–2 83.33%
Parkensins vs Zafina 8–4 66.67%
Parkensins vs Fahkumram 4–7 36.36%
Parkensins vs Miary Zo 1–10 9.09%
Parkensins vs Jun 5–5 50.00%
Parkensins vs Azucena 7–3 70.00%
Parkensins vs Asuka 6–3 66.67%
Parkensins vs Devil Jin 3–6 33.33%
Parkensins vs Nina 5–4 55.56%
Parkensins vs Shaheen 2–6 25.00%
Parkensins vs Lidia 5–3 62.50%
Parkensins vs Feng 7–0 100.00%
Parkensins vs Raven 6–1 85.71%
Parkensins vs Claudio 4–2 66.67%
Parkensins vs Leroy 4–2 66.67%
Parkensins vs Victor 3–3 50.00%
Parkensins vs Jack-8 4–1 80.00%
Parkensins vs Kuma 1–4 20.00%
Parkensins vs Panda 0–1 0.00%
Parkensins vs Anna 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.