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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

KneeGrow vs Bryan 87–39 69.05%
KneeGrow vs Jin 79–42 65.29%
KneeGrow vs Kazuya 68–32 68.00%
KneeGrow vs King 62–23 72.94%
KneeGrow vs Dragunov 50–26 65.79%
KneeGrow vs Hwoarang 49–18 73.13%
KneeGrow vs Lili 50–13 79.37%
KneeGrow vs Azucena 36–27 57.14%
KneeGrow vs Steve 43–18 70.49%
KneeGrow vs Reina 44–17 72.13%
KneeGrow vs Yoshimitsu 32–27 54.24%
KneeGrow vs Law 37–19 66.07%
KneeGrow vs Victor 27–24 52.94%
KneeGrow vs Paul 35–13 72.92%
KneeGrow vs Devil Jin 28–20 58.33%
KneeGrow vs Nina 35–11 76.09%
KneeGrow vs Feng 30–13 69.77%
KneeGrow vs Lee 31–11 73.81%
KneeGrow vs Jun 22–18 55.00%
KneeGrow vs Clive 24–16 60.00%
KneeGrow vs Heihachi 27–12 69.23%
KneeGrow vs Jack-8 26–11 70.27%
KneeGrow vs Claudio 17–20 45.95%
KneeGrow vs Zafina 25–12 67.57%
KneeGrow vs Xiaoyu 25–11 69.44%
KneeGrow vs Leo 23–9 71.88%
KneeGrow vs Lars 12–20 37.50%
KneeGrow vs Asuka 17–14 54.84%
KneeGrow vs Eddy 23–8 74.19%
KneeGrow vs Armor King 17–13 56.67%
KneeGrow vs Alisa 19–10 65.52%
KneeGrow vs Leroy 15–14 51.72%
KneeGrow vs Lidia 11–12 47.83%
KneeGrow vs Anna 12–10 54.55%
KneeGrow vs Kuma 15–6 71.43%
KneeGrow vs Shaheen 10–5 66.67%
KneeGrow vs Raven 9–3 75.00%
KneeGrow vs Miary Zo 5–5 50.00%
KneeGrow vs Panda 5–2 71.43%
KneeGrow vs Fahkumram 4–3 57.14%

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.