Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Noodalls vs King 139–81 63.18%
Noodalls vs Kazuya 118–56 67.82%
Noodalls vs Heihachi 107–67 61.49%
Noodalls vs Bryan 107–41 72.30%
Noodalls vs Steve 92–50 64.79%
Noodalls vs Jin 93–34 73.23%
Noodalls vs Reina 83–30 73.45%
Noodalls vs Eddy 56–32 63.64%
Noodalls vs Dragunov 61–23 72.62%
Noodalls vs Law 65–17 79.27%
Noodalls vs Yoshimitsu 50–26 65.79%
Noodalls vs Armor King 46–19 70.77%
Noodalls vs Hwoarang 54–10 84.38%
Noodalls vs Feng 41–23 64.06%
Noodalls vs Lili 46–18 71.88%
Noodalls vs Lee 32–26 55.17%
Noodalls vs Asuka 36–20 64.29%
Noodalls vs Jun 38–11 77.55%
Noodalls vs Lars 28–18 60.87%
Noodalls vs Paul 35–10 77.78%
Noodalls vs Devil Jin 28–17 62.22%
Noodalls vs Victor 27–17 61.36%
Noodalls vs Fahkumram 30–14 68.18%
Noodalls vs Clive 26–17 60.47%
Noodalls vs Claudio 20–16 55.56%
Noodalls vs Azucena 16–20 44.44%
Noodalls vs Miary Zo 20–11 64.52%
Noodalls vs Nina 15–13 53.57%
Noodalls vs Kuma 18–9 66.67%
Noodalls vs Shaheen 21–5 80.77%
Noodalls vs Alisa 14–10 58.33%
Noodalls vs Anna 10–10 50.00%
Noodalls vs Xiaoyu 13–6 68.42%
Noodalls vs Leroy 7–12 36.84%
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 Panda 5–4 55.56%
Noodalls vs Leo 6–1 85.71%

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.