K_u_p_o_9 vs Hwoarang | 84–58 | 59.15% |
K_u_p_o_9 vs Jin | 72–69 | 51.06% |
K_u_p_o_9 vs Yoshimitsu | 77–47–1 | 62.10% |
K_u_p_o_9 vs Law | 69–52 | 57.02% |
K_u_p_o_9 vs Steve | 56–62 | 47.46% |
K_u_p_o_9 vs Bryan | 51–64 | 44.35% |
K_u_p_o_9 vs King | 57–52 | 52.29% |
K_u_p_o_9 vs Feng | 43–43 | 50.00% |
K_u_p_o_9 vs Zafina | 49–34 | 59.04% |
K_u_p_o_9 vs Lee | 40–42 | 48.78% |
K_u_p_o_9 vs Lars | 43–38 | 53.09% |
K_u_p_o_9 vs Paul | 47–31 | 60.26% |
K_u_p_o_9 vs Lili | 41–34 | 54.67% |
K_u_p_o_9 vs Dragunov | 33–42 | 44.00% |
K_u_p_o_9 vs Nina | 31–34 | 47.69% |
K_u_p_o_9 vs Alisa | 38–22 | 63.33% |
K_u_p_o_9 vs Victor | 28–32 | 46.67% |
K_u_p_o_9 vs Asuka | 29–30 | 49.15% |
K_u_p_o_9 vs Kazuya | 26–30 | 46.43% |
K_u_p_o_9 vs Jun | 27–25 | 51.92% |
K_u_p_o_9 vs Eddy | 24–25 | 48.98% |
K_u_p_o_9 vs Xiaoyu | 30–18 | 62.50% |
K_u_p_o_9 vs Leo | 28–20 | 58.33% |
K_u_p_o_9 vs Devil Jin | 26–19 | 57.78% |
K_u_p_o_9 vs Raven | 24–19 | 55.81% |
K_u_p_o_9 vs Kuma | 20–22 | 47.62% |
K_u_p_o_9 vs Azucena | 21–20 | 51.22% |
K_u_p_o_9 vs Jack-8 | 25–14 | 64.10% |
K_u_p_o_9 vs Leroy | 23–16 | 58.97% |
K_u_p_o_9 vs Lidia | 16–23 | 41.03% |
K_u_p_o_9 vs Claudio | 16–18 | 47.06% |
K_u_p_o_9 vs Reina | 10–24 | 29.41% |
K_u_p_o_9 vs Shaheen | 17–10 | 62.96% |
K_u_p_o_9 vs Panda | 4–2 | 66.67% |
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.