Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

LunaCerva vs Jin 75–82 47.77%
LunaCerva vs Reina 64–59 52.03%
LunaCerva vs Bryan 51–53 49.04%
LunaCerva vs Hwoarang 48–50 48.98%
LunaCerva vs Kazuya 52–45 53.61%
LunaCerva vs King 54–40 57.45%
LunaCerva vs Dragunov 62–31 66.67%
LunaCerva vs Lili 45–43 51.14%
LunaCerva vs Steve 38–41 48.10%
LunaCerva vs Yoshimitsu 34–37 47.89%
LunaCerva vs Lee 33–33 50.00%
LunaCerva vs Devil Jin 27–35 43.55%
LunaCerva vs Lars 27–30 47.37%
LunaCerva vs Law 25–26 49.02%
LunaCerva vs Azucena 24–26 48.00%
LunaCerva vs Paul 21–28 42.86%
LunaCerva vs Victor 17–29 36.96%
LunaCerva vs Raven 18–24 42.86%
LunaCerva vs Alisa 20–18 52.63%
LunaCerva vs Eddy 20–18 52.63%
LunaCerva vs Asuka 20–17 54.05%
LunaCerva vs Feng 14–20 41.18%
LunaCerva vs Leo 23–9 71.88%
LunaCerva vs Jun 24–7 77.42%
LunaCerva vs Xiaoyu 12–17 41.38%
LunaCerva vs Jack-8 13–15 46.43%
LunaCerva vs Zafina 13–10 56.52%
LunaCerva vs Claudio 14–8 63.64%
LunaCerva vs Heihachi 15–6 71.43%
LunaCerva vs Shaheen 10–10 50.00%
LunaCerva vs Kuma 8–12 40.00%
LunaCerva vs Clive 12–8 60.00%
LunaCerva vs Nina 12–7 63.16%
LunaCerva vs Leroy 7–10 41.18%
LunaCerva vs Panda 5–4 55.56%
LunaCerva vs Lidia 7–2 77.78%
LunaCerva vs Fahkumram 1–4 20.00%
LunaCerva vs Armor King 2–0 100.00%
LunaCerva vs Miary Zo 0–1 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.