Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

kalimb07 vs King 88–137 39.11%
kalimb07 vs Jin 106–118 47.32%
kalimb07 vs Kazuya 96–93 50.79%
kalimb07 vs Hwoarang 71–84 45.81%
kalimb07 vs Steve 80–74 51.95%
kalimb07 vs Bryan 65–73 47.10%
kalimb07 vs Dragunov 42–80 34.43%
kalimb07 vs Reina 59–59 50.00%
kalimb07 vs Lili 64–53 54.70%
kalimb07 vs Law 59–55 51.75%
kalimb07 vs Asuka 49–57 46.23%
kalimb07 vs Eddy 52–47 52.53%
kalimb07 vs Heihachi 41–58 41.41%
kalimb07 vs Paul 34–63 35.05%
kalimb07 vs Clive 37–50 42.53%
kalimb07 vs Devil Jin 34–31 52.31%
kalimb07 vs Azucena 27–32 45.76%
kalimb07 vs Yoshimitsu 29–28 50.88%
kalimb07 vs Victor 26–29 47.27%
kalimb07 vs Lidia 28–25 52.83%
kalimb07 vs Feng 20–32 38.46%
kalimb07 vs Lee 27–23 54.00%
kalimb07 vs Alisa 16–33 32.65%
kalimb07 vs Jun 18–30 37.50%
kalimb07 vs Lars 24–23 51.06%
kalimb07 vs Xiaoyu 16–30 34.78%
kalimb07 vs Nina 21–25 45.65%
kalimb07 vs Jack-8 21–21 50.00%
kalimb07 vs Kuma 19–11 63.33%
kalimb07 vs Leroy 13–17 43.33%
kalimb07 vs Claudio 10–18 35.71%
kalimb07 vs Anna 11–17 39.29%
kalimb07 vs Leo 4–20 16.67%
kalimb07 vs Zafina 9–13 40.91%
kalimb07 vs Armor King 11–8 57.89%
kalimb07 vs Panda 6–6 50.00%
kalimb07 vs Miary Zo 6–6 50.00%
kalimb07 vs Fahkumram 6–5 54.55%
kalimb07 vs Shaheen 3–7 30.00%
kalimb07 vs Raven 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.