Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Bomber95 vs Kazuya 84–63 57.14%
Bomber95 vs Jin 72–68 51.43%
Bomber95 vs Bryan 68–57 54.40%
Bomber95 vs Law 54–37 59.34%
Bomber95 vs Lidia 39–50 43.82%
Bomber95 vs King 45–43 51.14%
Bomber95 vs Dragunov 51–37 57.95%
Bomber95 vs Reina 53–31 63.10%
Bomber95 vs Heihachi 36–44 45.00%
Bomber95 vs Paul 45–33 57.69%
Bomber95 vs Steve 54–22 71.05%
Bomber95 vs Devil Jin 35–38 47.95%
Bomber95 vs Hwoarang 47–22 68.12%
Bomber95 vs Eddy 43–22 66.15%
Bomber95 vs Lili 32–31 50.79%
Bomber95 vs Clive 32–23 58.18%
Bomber95 vs Jack-8 30–23 56.60%
Bomber95 vs Lee 25–26 49.02%
Bomber95 vs Jun 30–21 58.82%
Bomber95 vs Yoshimitsu 23–25 47.92%
Bomber95 vs Leroy 28–20 58.33%
Bomber95 vs Lars 30–16 65.22%
Bomber95 vs Victor 31–15 67.39%
Bomber95 vs Alisa 22–20 52.38%
Bomber95 vs Asuka 23–17 57.50%
Bomber95 vs Azucena 27–11 71.05%
Bomber95 vs Feng 15–22 40.54%
Bomber95 vs Nina 18–15 54.55%
Bomber95 vs Raven 14–18 43.75%
Bomber95 vs Kuma 15–14 51.72%
Bomber95 vs Xiaoyu 14–13 51.85%
Bomber95 vs Claudio 12–13 48.00%
Bomber95 vs Leo 8–11 42.11%
Bomber95 vs Zafina 10–8 55.56%
Bomber95 vs Shaheen 10–7 58.82%
Bomber95 vs Fahkumram 7–7 50.00%
Bomber95 vs Anna 8–4 66.67%
Bomber95 vs Armor King 9–1 90.00%
Bomber95 vs Panda 3–3 50.00%
Bomber95 vs Miary Zo 1–0 100.00%

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.