Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
ibuchamu

Ratings

ibuchamu vs Kazuya 64–40 61.54%
ibuchamu vs Jin 65–35 65.00%
ibuchamu vs Law 47–42 52.81%
ibuchamu vs King 51–37 57.95%
ibuchamu vs Dragunov 54–33 62.07%
ibuchamu vs Armor King 50–34 59.52%
ibuchamu vs Bryan 43–34 55.84%
ibuchamu vs Reina 54–23 70.13%
ibuchamu vs Paul 53–22 70.67%
ibuchamu vs Lili 52–17 75.36%
ibuchamu vs Yoshimitsu 44–23 65.67%
ibuchamu vs Miary Zo 40–27 59.70%
ibuchamu vs Asuka 46–14 76.67%
ibuchamu vs Steve 36–18 66.67%
ibuchamu vs Victor 28–26 51.85%
ibuchamu vs Heihachi 29–20 59.18%
ibuchamu vs Hwoarang 23–16 58.97%
ibuchamu vs Nina 23–16 58.97%
ibuchamu vs Devil Jin 21–16 56.76%
ibuchamu vs Azucena 24–13 64.86%
ibuchamu vs Xiaoyu 19–16 54.29%
ibuchamu vs Jun 25–9 73.53%
ibuchamu vs Clive 22–11 66.67%
ibuchamu vs Fahkumram 19–13 59.38%
ibuchamu vs Lars 18–13 58.06%
ibuchamu vs Jack-8 13–16 44.83%
ibuchamu vs Leo 14–14 50.00%
ibuchamu vs Feng 15–12 55.56%
ibuchamu vs Claudio 19–8 70.37%
ibuchamu vs Leroy 21–6 77.78%
ibuchamu vs Eddy 17–7 70.83%
ibuchamu vs Anna 14–9 60.87%
ibuchamu vs Alisa 14–8 63.64%
ibuchamu vs Zafina 10–10 50.00%
ibuchamu vs Lidia 11–7 61.11%
ibuchamu vs Lee 7–8 46.67%
ibuchamu vs Shaheen 4–7 36.36%
ibuchamu vs Kuma 6–4 60.00%
ibuchamu vs Raven 4–3 57.14%
ibuchamu vs Panda 0–2 0.00%

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.