| d1eg0bag3l vs King | 37–46 | 44.58% |
| d1eg0bag3l vs Kazuya | 30–35 | 46.15% |
| d1eg0bag3l vs Law | 20–28 | 41.67% |
| d1eg0bag3l vs Jin | 14–34 | 29.17% |
| d1eg0bag3l vs Reina | 14–26 | 35.00% |
| d1eg0bag3l vs Asuka | 17–17 | 50.00% |
| d1eg0bag3l vs Yoshimitsu | 14–19 | 42.42% |
| d1eg0bag3l vs Steve | 15–17 | 46.88% |
| d1eg0bag3l vs Victor | 16–16 | 50.00% |
| d1eg0bag3l vs Hwoarang | 10–20 | 33.33% |
| d1eg0bag3l vs Azucena | 13–16 | 44.83% |
| d1eg0bag3l vs Dragunov | 12–16 | 42.86% |
| d1eg0bag3l vs Lars | 14–14 | 50.00% |
| d1eg0bag3l vs Nina | 16–11 | 59.26% |
| d1eg0bag3l vs Lili | 11–15 | 42.31% |
| d1eg0bag3l vs Eddy | 13–13 | 50.00% |
| d1eg0bag3l vs Bryan | 14–11 | 56.00% |
| d1eg0bag3l vs Xiaoyu | 8–16 | 33.33% |
| d1eg0bag3l vs Lee | 6–13 | 31.58% |
| d1eg0bag3l vs Raven | 11–8 | 57.89% |
| d1eg0bag3l vs Jun | 4–14 | 22.22% |
| d1eg0bag3l vs Lidia | 10–6 | 62.50% |
| d1eg0bag3l vs Devil Jin | 7–6 | 53.85% |
| d1eg0bag3l vs Paul | 8–4 | 66.67% |
| d1eg0bag3l vs Feng | 4–8 | 33.33% |
| d1eg0bag3l vs Kuma | 3–9 | 25.00% |
| d1eg0bag3l vs Jack-8 | 5–6 | 45.45% |
| d1eg0bag3l vs Alisa | 6–5 | 54.55% |
| d1eg0bag3l vs Shaheen | 2–9 | 18.18% |
| d1eg0bag3l vs Leo | 6–3 | 66.67% |
| d1eg0bag3l vs Leroy | 3–6 | 33.33% |
| d1eg0bag3l vs Zafina | 4–4 | 50.00% |
| d1eg0bag3l vs Panda | 2–2 | 50.00% |
| d1eg0bag3l vs Claudio | 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.