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Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Noodalls vs King 141–81 63.51%
Noodalls vs Kazuya 120–60 66.67%
Noodalls vs Heihachi 109–69 61.24%
Noodalls vs Bryan 109–47 69.87%
Noodalls vs Steve 99–55 64.29%
Noodalls vs Jin 98–38 72.06%
Noodalls vs Reina 84–34 71.19%
Noodalls vs Law 72–20 78.26%
Noodalls vs Dragunov 63–28 69.23%
Noodalls vs Eddy 56–34 62.22%
Noodalls vs Yoshimitsu 52–26 66.67%
Noodalls vs Armor King 50–25 66.67%
Noodalls vs Hwoarang 58–10 85.29%
Noodalls vs Lee 35–32 52.24%
Noodalls vs Feng 41–23 64.06%
Noodalls vs Lili 46–18 71.88%
Noodalls vs Asuka 38–20 65.52%
Noodalls vs Jun 43–14 75.44%
Noodalls vs Paul 40–15 72.73%
Noodalls vs Devil Jin 33–22 60.00%
Noodalls vs Lars 28–22 56.00%
Noodalls vs Victor 27–21 56.25%
Noodalls vs Clive 30–18 62.50%
Noodalls vs Fahkumram 31–14 68.89%
Noodalls vs Azucena 16–24 40.00%
Noodalls vs Claudio 20–16 55.56%
Noodalls vs Miary Zo 20–11 64.52%
Noodalls vs Shaheen 21–7 75.00%
Noodalls vs Nina 15–13 53.57%
Noodalls vs Kuma 18–9 66.67%
Noodalls vs Alisa 14–10 58.33%
Noodalls vs Leroy 8–14 36.36%
Noodalls vs Anna 10–10 50.00%
Noodalls vs Xiaoyu 13–6 68.42%
Noodalls vs Raven 10–5 66.67%
Noodalls vs Lidia 9–5 64.29%
Noodalls vs Zafina 8–4 66.67%
Noodalls vs Jack-8 6–4 60.00%
Noodalls vs Leo 6–3 66.67%
Noodalls vs Panda 5–4 55.56%

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.