| DLang vs Kazuya | 72–58 | 55.38% |
| DLang vs King | 46–71 | 39.32% |
| DLang vs Steve | 72–44 | 62.07% |
| DLang vs Jin | 55–42 | 56.70% |
| DLang vs Bryan | 53–44 | 54.64% |
| DLang vs Hwoarang | 42–49 | 46.15% |
| DLang vs Law | 42–45 | 48.28% |
| DLang vs Yoshimitsu | 48–38 | 55.81% |
| DLang vs Lili | 39–35 | 52.70% |
| DLang vs Paul | 30–40 | 42.86% |
| DLang vs Lee | 39–30 | 56.52% |
| DLang vs Xiaoyu | 34–31 | 52.31% |
| DLang vs Nina | 33–26 | 55.93% |
| DLang vs Azucena | 32–22 | 59.26% |
| DLang vs Lars | 28–25 | 52.83% |
| DLang vs Asuka | 22–29 | 43.14% |
| DLang vs Reina | 23–28 | 45.10% |
| DLang vs Victor | 29–20 | 59.18% |
| DLang vs Devil Jin | 24–24 | 50.00% |
| DLang vs Dragunov | 34–14 | 70.83% |
| DLang vs Jun | 30–14 | 68.18% |
| DLang vs Raven | 26–17 | 60.47% |
| DLang vs Feng | 20–17 | 54.05% |
| DLang vs Eddy | 18–19 | 48.65% |
| DLang vs Leroy | 18–15 | 54.55% |
| DLang vs Jack-8 | 16–16 | 50.00% |
| DLang vs Kuma | 16–15–1 | 51.61% |
| DLang vs Alisa | 16–12 | 57.14% |
| DLang vs Claudio | 12–14 | 46.15% |
| DLang vs Zafina | 13–13 | 50.00% |
| DLang vs Leo | 12–11 | 52.17% |
| DLang vs Shaheen | 10–6 | 62.50% |
| DLang vs Lidia | 10–5 | 66.67% |
| DLang vs Heihachi | 11–3 | 78.57% |
| DLang vs Panda | 7–4 | 63.64% |
| DLang vs Anna | 3–6 | 33.33% |
| DLang vs Clive | 4–3 | 57.14% |
| DLang vs Fahkumram | 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.