| sukabilliat vs Fahkumram | 68–89 | 43.31% |
| sukabilliat vs Jin | 84–71 | 54.19% |
| sukabilliat vs Dragunov | 52–58 | 47.27% |
| sukabilliat vs Steve | 59–35 | 62.77% |
| sukabilliat vs King | 41–51 | 44.57% |
| sukabilliat vs Kazuya | 42–49–1 | 46.15% |
| sukabilliat vs Bryan | 47–44 | 51.65% |
| sukabilliat vs Reina | 32–36 | 47.06% |
| sukabilliat vs Law | 38–25 | 60.32% |
| sukabilliat vs Heihachi | 34–29 | 53.97% |
| sukabilliat vs Asuka | 31–31 | 50.00% |
| sukabilliat vs Lili | 20–25 | 44.44% |
| sukabilliat vs Hwoarang | 29–15 | 65.91% |
| sukabilliat vs Lars | 18–25 | 41.86% |
| sukabilliat vs Victor | 20–23 | 46.51% |
| sukabilliat vs Yoshimitsu | 25–17 | 59.52% |
| sukabilliat vs Devil Jin | 14–20 | 41.18% |
| sukabilliat vs Clive | 18–12 | 60.00% |
| sukabilliat vs Lee | 12–15 | 44.44% |
| sukabilliat vs Armor King | 17–10 | 62.96% |
| sukabilliat vs Jun | 12–14 | 46.15% |
| sukabilliat vs Azucena | 13–13 | 50.00% |
| sukabilliat vs Leroy | 11–13 | 45.83% |
| sukabilliat vs Eddy | 6–16 | 27.27% |
| sukabilliat vs Anna | 10–11 | 47.62% |
| sukabilliat vs Leo | 12–8 | 60.00% |
| sukabilliat vs Paul | 6–13 | 31.58% |
| sukabilliat vs Kuma | 4–13 | 23.53% |
| sukabilliat vs Lidia | 8–9 | 47.06% |
| sukabilliat vs Claudio | 8–7 | 53.33% |
| sukabilliat vs Alisa | 2–11 | 15.38% |
| sukabilliat vs Shaheen | 4–8 | 33.33% |
| sukabilliat vs Xiaoyu | 3–7 | 30.00% |
| sukabilliat vs Raven | 5–5 | 50.00% |
| sukabilliat vs Jack-8 | 3–6 | 33.33% |
| sukabilliat vs Zafina | 1–8 | 11.11% |
| sukabilliat vs Feng | 0–8 | 0.00% |
| sukabilliat vs Nina | 2–6 | 25.00% |
| sukabilliat vs Panda | 0–1 | 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.