Soop_킴여뉴v vs Hwoarang | 49–64 | 43.36% |
Soop_킴여뉴v vs Dragunov | 56–51 | 52.34% |
Soop_킴여뉴v vs King | 41–60 | 40.59% |
Soop_킴여뉴v vs Kazuya | 48–52 | 48.00% |
Soop_킴여뉴v vs Heihachi | 42–58 | 42.00% |
Soop_킴여뉴v vs Jin | 37–57 | 39.36% |
Soop_킴여뉴v vs Reina | 52–36 | 59.09% |
Soop_킴여뉴v vs Lili | 42–41 | 50.60% |
Soop_킴여뉴v vs Bryan | 44–38 | 53.66% |
Soop_킴여뉴v vs Paul | 43–37 | 53.75% |
Soop_킴여뉴v vs Yoshimitsu | 32–34 | 48.48% |
Soop_킴여뉴v vs Law | 27–27 | 50.00% |
Soop_킴여뉴v vs Asuka | 22–30 | 42.31% |
Soop_킴여뉴v vs Victor | 17–34 | 33.33% |
Soop_킴여뉴v vs Steve | 23–25 | 47.92% |
Soop_킴여뉴v vs Devil Jin | 18–30 | 37.50% |
Soop_킴여뉴v vs Jun | 20–28 | 41.67% |
Soop_킴여뉴v vs Xiaoyu | 26–20 | 56.52% |
Soop_킴여뉴v vs Azucena | 19–18 | 51.35% |
Soop_킴여뉴v vs Leo | 20–16 | 55.56% |
Soop_킴여뉴v vs Alisa | 13–23 | 36.11% |
Soop_킴여뉴v vs Feng | 17–16 | 51.52% |
Soop_킴여뉴v vs Claudio | 12–18–1 | 40.00% |
Soop_킴여뉴v vs Lidia | 25–6 | 80.65% |
Soop_킴여뉴v vs Nina | 15–15 | 50.00% |
Soop_킴여뉴v vs Leroy | 13–16 | 44.83% |
Soop_킴여뉴v vs Clive | 11–18 | 37.93% |
Soop_킴여뉴v vs Jack-8 | 10–17 | 37.04% |
Soop_킴여뉴v vs Eddy | 14–13 | 51.85% |
Soop_킴여뉴v vs Lars | 9–11 | 45.00% |
Soop_킴여뉴v vs Kuma | 8–11 | 42.11% |
Soop_킴여뉴v vs Raven | 9–8 | 52.94% |
Soop_킴여뉴v vs Shaheen | 5–10 | 33.33% |
Soop_킴여뉴v vs Lee | 9–5 | 64.29% |
Soop_킴여뉴v vs Zafina | 3–4 | 42.86% |
Soop_킴여뉴v vs Panda | 3–3 | 50.00% |
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.