Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

CM Sparks vs Armor King 30–17 63.83%
CM Sparks vs Kazuya 23–19 54.76%
CM Sparks vs Law 20–15 57.14%
CM Sparks vs King 23–11 67.65%
CM Sparks vs Jin 21–13 61.76%
CM Sparks vs Bryan 21–8 72.41%
CM Sparks vs Steve 13–16 44.83%
CM Sparks vs Lili 13–13 50.00%
CM Sparks vs Lee 15–11 57.69%
CM Sparks vs Reina 15–10 60.00%
CM Sparks vs Feng 11–12 47.83%
CM Sparks vs Lars 10–10 50.00%
CM Sparks vs Eddy 13–7 65.00%
CM Sparks vs Yoshimitsu 6–13 31.58%
CM Sparks vs Asuka 11–6 64.71%
CM Sparks vs Heihachi 10–7 58.82%
CM Sparks vs Clive 13–4 76.47%
CM Sparks vs Lidia 13–3 81.25%
CM Sparks vs Fahkumram 8–8 50.00%
CM Sparks vs Xiaoyu 6–9 40.00%
CM Sparks vs Dragunov 9–6 60.00%
CM Sparks vs Nina 11–4 73.33%
CM Sparks vs Leo 8–5 61.54%
CM Sparks vs Miary Zo 4–8 33.33%
CM Sparks vs Leroy 7–4 63.64%
CM Sparks vs Hwoarang 6–4 60.00%
CM Sparks vs Jun 5–5 50.00%
CM Sparks vs Azucena 7–3 70.00%
CM Sparks vs Victor 6–4 60.00%
CM Sparks vs Paul 3–6 33.33%
CM Sparks vs Devil Jin 4–4 50.00%
CM Sparks vs Shaheen 4–4 50.00%
CM Sparks vs Raven 4–4 50.00%
CM Sparks vs Anna 4–4 50.00%
CM Sparks vs Alisa 3–3 50.00%
CM Sparks vs Zafina 1–4 20.00%
CM Sparks vs Jack-8 2–2 50.00%
CM Sparks vs Panda 0–4 0.00%
CM Sparks vs Kuma 0–3 0.00%
CM Sparks vs Claudio 2–0 100.00%

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.