| Dlwlrma vs King | 124–88 | 58.49% |
| Dlwlrma vs Bryan | 117–95 | 55.19% |
| Dlwlrma vs Kazuya | 125–82 | 60.39% |
| Dlwlrma vs Steve | 111–90 | 55.22% |
| Dlwlrma vs Clive | 79–99 | 44.38% |
| Dlwlrma vs Dragunov | 96–59 | 61.94% |
| Dlwlrma vs Jin | 92–62 | 59.74% |
| Dlwlrma vs Heihachi | 76–73 | 51.01% |
| Dlwlrma vs Law | 77–68 | 53.10% |
| Dlwlrma vs Lee | 76–61 | 55.47% |
| Dlwlrma vs Hwoarang | 79–50 | 61.24% |
| Dlwlrma vs Yoshimitsu | 62–57 | 52.10% |
| Dlwlrma vs Devil Jin | 56–61 | 47.86% |
| Dlwlrma vs Reina | 71–38 | 65.14% |
| Dlwlrma vs Asuka | 58–39 | 59.79% |
| Dlwlrma vs Lili | 62–35 | 63.92% |
| Dlwlrma vs Paul | 53–41 | 56.38% |
| Dlwlrma vs Lars | 42–46 | 47.73% |
| Dlwlrma vs Jun | 49–35 | 58.33% |
| Dlwlrma vs Leo | 36–47 | 43.37% |
| Dlwlrma vs Anna | 37–42 | 46.84% |
| Dlwlrma vs Nina | 35–37 | 48.61% |
| Dlwlrma vs Xiaoyu | 43–27 | 61.43% |
| Dlwlrma vs Alisa | 28–42 | 40.00% |
| Dlwlrma vs Lidia | 41–23 | 64.06% |
| Dlwlrma vs Raven | 35–28 | 55.56% |
| Dlwlrma vs Shaheen | 35–27 | 56.45% |
| Dlwlrma vs Jack-8 | 19–39 | 32.76% |
| Dlwlrma vs Azucena | 35–22 | 61.40% |
| Dlwlrma vs Claudio | 21–33 | 38.89% |
| Dlwlrma vs Feng | 19–30 | 38.78% |
| Dlwlrma vs Leroy | 30–19 | 61.22% |
| Dlwlrma vs Fahkumram | 31–18 | 63.27% |
| Dlwlrma vs Eddy | 21–27 | 43.75% |
| Dlwlrma vs Armor King | 27–20 | 57.45% |
| Dlwlrma vs Victor | 20–14 | 58.82% |
| Dlwlrma vs Zafina | 19–14 | 57.58% |
| Dlwlrma vs Kuma | 14–17 | 45.16% |
| Dlwlrma vs Miary Zo | 3–11 | 21.43% |
| Dlwlrma vs Panda | 2–5 | 28.57% |
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.