| DilfSlayer vs Jin | 29–39 | 42.65% |
| DilfSlayer vs Kazuya | 46–15 | 75.41% |
| DilfSlayer vs Hwoarang | 33–20 | 62.26% |
| DilfSlayer vs Bryan | 36–17 | 67.92% |
| DilfSlayer vs King | 39–13 | 75.00% |
| DilfSlayer vs Yoshimitsu | 39–13 | 75.00% |
| DilfSlayer vs Jun | 25–22 | 53.19% |
| DilfSlayer vs Law | 24–22 | 52.17% |
| DilfSlayer vs Leo | 26–19 | 57.78% |
| DilfSlayer vs Steve | 22–19 | 53.66% |
| DilfSlayer vs Paul | 23–17 | 57.50% |
| DilfSlayer vs Reina | 25–14 | 64.10% |
| DilfSlayer vs Lee | 24–11 | 68.57% |
| DilfSlayer vs Dragunov | 18–14 | 56.25% |
| DilfSlayer vs Eddy | 14–17 | 45.16% |
| DilfSlayer vs Azucena | 16–14 | 53.33% |
| DilfSlayer vs Lars | 15–14 | 51.72% |
| DilfSlayer vs Lili | 16–9 | 64.00% |
| DilfSlayer vs Leroy | 16–9 | 64.00% |
| DilfSlayer vs Xiaoyu | 15–9 | 62.50% |
| DilfSlayer vs Feng | 13–8 | 61.90% |
| DilfSlayer vs Nina | 11–10 | 52.38% |
| DilfSlayer vs Raven | 16–5 | 76.19% |
| DilfSlayer vs Lidia | 6–15 | 28.57% |
| DilfSlayer vs Jack-8 | 7–10 | 41.18% |
| DilfSlayer vs Devil Jin | 12–4 | 75.00% |
| DilfSlayer vs Zafina | 7–9 | 43.75% |
| DilfSlayer vs Victor | 6–10 | 37.50% |
| DilfSlayer vs Heihachi | 12–4 | 75.00% |
| DilfSlayer vs Alisa | 5–10 | 33.33% |
| DilfSlayer vs Asuka | 8–3 | 72.73% |
| DilfSlayer vs Kuma | 7–4 | 63.64% |
| DilfSlayer vs Clive | 3–3 | 50.00% |
| DilfSlayer vs Shaheen | 2–3 | 40.00% |
| DilfSlayer vs Anna | 4–1 | 80.00% |
| DilfSlayer vs Claudio | 0–4 | 0.00% |
| DilfSlayer vs Panda | 1–1 | 50.00% |
| DilfSlayer vs Fahkumram | 0–2 | 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.