Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics
Sam Bloomfield

Ratings

Sam Bloomfield vs Kazuya 231–368 38.56%
Sam Bloomfield vs King 228–363 38.58%
Sam Bloomfield vs Steve 214–367 36.83%
Sam Bloomfield vs Jin 187–322 36.74%
Sam Bloomfield vs Bryan 176–324 35.20%
Sam Bloomfield vs Dragunov 140–194 41.92%
Sam Bloomfield vs Heihachi 137–192 41.64%
Sam Bloomfield vs Reina 105–217 32.61%
Sam Bloomfield vs Armor King 112–184 37.84%
Sam Bloomfield vs Hwoarang 112–155 41.95%
Sam Bloomfield vs Law 98–168 36.84%
Sam Bloomfield vs Paul 87–168 34.12%
Sam Bloomfield vs Yoshimitsu 82–132 38.32%
Sam Bloomfield vs Devil Jin 79–125 38.73%
Sam Bloomfield vs Fahkumram 83–113 42.35%
Sam Bloomfield vs Jun 65–118 35.52%
Sam Bloomfield vs Lili 65–107 37.79%
Sam Bloomfield vs Lee 62–110 36.05%
Sam Bloomfield vs Azucena 59–96 38.06%
Sam Bloomfield vs Eddy 63–74 45.99%
Sam Bloomfield vs Clive 62–71 46.62%
Sam Bloomfield vs Xiaoyu 52–79 39.69%
Sam Bloomfield vs Claudio 45–78 36.59%
Sam Bloomfield vs Victor 42–77 35.29%
Sam Bloomfield vs Asuka 44–71 38.26%
Sam Bloomfield vs Lars 37–71 34.26%
Sam Bloomfield vs Feng 47–58 44.76%
Sam Bloomfield vs Jack-8 29–70 29.29%
Sam Bloomfield vs Alisa 31–60 34.07%
Sam Bloomfield vs Nina 28–53 34.57%
Sam Bloomfield vs Lidia 35–40 46.67%
Sam Bloomfield vs Leroy 24–47 33.80%
Sam Bloomfield vs Leo 21–46 31.34%
Sam Bloomfield vs Raven 29–37 43.94%
Sam Bloomfield vs Zafina 26–35 42.62%
Sam Bloomfield vs Miary Zo 31–29 51.67%
Sam Bloomfield vs Anna 11–44 20.00%
Sam Bloomfield vs Kuma 19–30 38.78%
Sam Bloomfield vs Shaheen 18–26 40.91%
Sam Bloomfield vs Panda 5–11 31.25%

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.