| dmsgk vs King | 24–40 | 37.50% |
| dmsgk vs Kazuya | 27–31 | 46.55% |
| dmsgk vs Fahkumram | 23–34 | 40.35% |
| dmsgk vs Jin | 19–21 | 47.50% |
| dmsgk vs Reina | 19–20 | 48.72% |
| dmsgk vs Bryan | 16–21 | 43.24% |
| dmsgk vs Steve | 19–17 | 52.78% |
| dmsgk vs Paul | 19–16 | 54.29% |
| dmsgk vs Dragunov | 14–21 | 40.00% |
| dmsgk vs Lili | 11–23 | 32.35% |
| dmsgk vs Alisa | 15–11 | 57.69% |
| dmsgk vs Victor | 2–23 | 8.00% |
| dmsgk vs Asuka | 6–17 | 26.09% |
| dmsgk vs Law | 11–11 | 50.00% |
| dmsgk vs Hwoarang | 5–14 | 26.32% |
| dmsgk vs Jun | 10–9 | 52.63% |
| dmsgk vs Devil Jin | 7–9 | 43.75% |
| dmsgk vs Clive | 3–12 | 20.00% |
| dmsgk vs Lars | 5–8 | 38.46% |
| dmsgk vs Claudio | 7–6 | 53.85% |
| dmsgk vs Eddy | 8–5 | 61.54% |
| dmsgk vs Yoshimitsu | 5–7 | 41.67% |
| dmsgk vs Azucena | 7–5 | 58.33% |
| dmsgk vs Leroy | 6–5 | 54.55% |
| dmsgk vs Feng | 2–8 | 20.00% |
| dmsgk vs Xiaoyu | 7–2 | 77.78% |
| dmsgk vs Nina | 1–8 | 11.11% |
| dmsgk vs Panda | 4–5 | 44.44% |
| dmsgk vs Raven | 5–4 | 55.56% |
| dmsgk vs Heihachi | 8–1 | 88.89% |
| dmsgk vs Anna | 4–5 | 44.44% |
| dmsgk vs Jack-8 | 3–3 | 50.00% |
| dmsgk vs Leo | 2–3 | 40.00% |
| dmsgk vs Kuma | 1–4 | 20.00% |
| dmsgk vs Zafina | 2–3 | 40.00% |
| dmsgk vs Shaheen | 0–4 | 0.00% |
| dmsgk vs Lee | 3–1 | 75.00% |
| dmsgk vs Lidia | 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.