| sukekiyo vs Armor King | 29–120 | 19.46% |
| sukekiyo vs Kazuya | 48–59 | 44.86% |
| sukekiyo vs Reina | 35–72 | 32.71% |
| sukekiyo vs Dragunov | 41–53 | 43.62% |
| sukekiyo vs King | 25–64 | 28.09% |
| sukekiyo vs Lili | 25–56 | 30.86% |
| sukekiyo vs Bryan | 28–52 | 35.00% |
| sukekiyo vs Paul | 26–51 | 33.77% |
| sukekiyo vs Asuka | 33–42 | 44.00% |
| sukekiyo vs Jin | 19–47 | 28.79% |
| sukekiyo vs Fahkumram | 17–47 | 26.56% |
| sukekiyo vs Law | 27–29 | 48.21% |
| sukekiyo vs Steve | 18–32 | 36.00% |
| sukekiyo vs Hwoarang | 16–32 | 33.33% |
| sukekiyo vs Heihachi | 12–36 | 25.00% |
| sukekiyo vs Victor | 20–23 | 46.51% |
| sukekiyo vs Yoshimitsu | 9–33 | 21.43% |
| sukekiyo vs Lidia | 15–27 | 35.71% |
| sukekiyo vs Azucena | 11–29 | 27.50% |
| sukekiyo vs Anna | 15–20 | 42.86% |
| sukekiyo vs Nina | 17–15 | 53.12% |
| sukekiyo vs Jun | 8–24 | 25.00% |
| sukekiyo vs Eddy | 5–23 | 17.86% |
| sukekiyo vs Alisa | 9–18 | 33.33% |
| sukekiyo vs Lars | 6–19 | 24.00% |
| sukekiyo vs Lee | 11–14 | 44.00% |
| sukekiyo vs Leo | 7–15 | 31.82% |
| sukekiyo vs Xiaoyu | 8–12 | 40.00% |
| sukekiyo vs Devil Jin | 1–19 | 5.00% |
| sukekiyo vs Feng | 2–18 | 10.00% |
| sukekiyo vs Jack-8 | 6–13 | 31.58% |
| sukekiyo vs Leroy | 7–11 | 38.89% |
| sukekiyo vs Claudio | 7–8 | 46.67% |
| sukekiyo vs Shaheen | 6–9 | 40.00% |
| sukekiyo vs Zafina | 7–5 | 58.33% |
| sukekiyo vs Clive | 0–11 | 0.00% |
| sukekiyo vs Kuma | 3–7 | 30.00% |
| sukekiyo vs Raven | 2–3 | 40.00% |
| sukekiyo vs Panda | 0–4 | 0.00% |
| sukekiyo vs Miary Zo | 1–2 | 33.33% |
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.