Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Blunted

Ratings

Blunted vs King 234–168 58.21%
Blunted vs Hwoarang 172–169 50.44%
Blunted vs Jin 183–156 53.98%
Blunted vs Law 161–160 50.16%
Blunted vs Kazuya 131–124 51.37%
Blunted vs Bryan 147–105 58.33%
Blunted vs Yoshimitsu 139–110 55.82%
Blunted vs Paul 134–86 60.91%
Blunted vs Dragunov 129–83 60.85%
Blunted vs Lili 96–113 45.93%
Blunted vs Lee 116–91 56.04%
Blunted vs Lars 112–87 56.28%
Blunted vs Steve 118–80 59.60%
Blunted vs Reina 105–92 53.30%
Blunted vs Xiaoyu 89–83 51.74%
Blunted vs Asuka 74–97 43.27%
Blunted vs Azucena 92–79 53.80%
Blunted vs Nina 70–98 41.67%
Blunted vs Raven 92–71 56.44%
Blunted vs Eddy 101–62 61.96%
Blunted vs Victor 78–81 49.06%
Blunted vs Jun 69–84 45.10%
Blunted vs Alisa 56–72 43.75%
Blunted vs Devil Jin 44–82 34.92%
Blunted vs Heihachi 54–59 47.79%
Blunted vs Jack-8 56–46 54.90%
Blunted vs Feng 49–50 49.49%
Blunted vs Leo 44–54 44.90%
Blunted vs Armor King 39–50 43.82%
Blunted vs Fahkumram 58–30 65.91%
Blunted vs Leroy 55–25 68.75%
Blunted vs Lidia 48–32 60.00%
Blunted vs Kuma 33–44 42.86%
Blunted vs Claudio 29–42 40.85%
Blunted vs Zafina 39–21 65.00%
Blunted vs Shaheen 20–37 35.09%
Blunted vs Anna 13–42 23.64%
Blunted vs Clive 19–22–1 46.34%
Blunted vs Panda 12–22 35.29%
Blunted vs Miary Zo 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.