| Dsquared2 vs King | 24–20 | 54.55% |
| Dsquared2 vs Jin | 28–14 | 66.67% |
| Dsquared2 vs Steve | 24–16 | 60.00% |
| Dsquared2 vs Law | 18–20 | 47.37% |
| Dsquared2 vs Kazuya | 23–13 | 63.89% |
| Dsquared2 vs Reina | 26–9 | 74.29% |
| Dsquared2 vs Paul | 16–18 | 47.06% |
| Dsquared2 vs Hwoarang | 19–14 | 57.58% |
| Dsquared2 vs Yoshimitsu | 22–9 | 70.97% |
| Dsquared2 vs Eddy | 20–9 | 68.97% |
| Dsquared2 vs Miary Zo | 11–17 | 39.29% |
| Dsquared2 vs Bryan | 14–13 | 51.85% |
| Dsquared2 vs Lidia | 13–13 | 50.00% |
| Dsquared2 vs Jun | 13–9 | 59.09% |
| Dsquared2 vs Armor King | 6–14 | 30.00% |
| Dsquared2 vs Dragunov | 13–6 | 68.42% |
| Dsquared2 vs Heihachi | 11–8 | 57.89% |
| Dsquared2 vs Clive | 8–11 | 42.11% |
| Dsquared2 vs Devil Jin | 8–10 | 44.44% |
| Dsquared2 vs Lars | 11–7 | 61.11% |
| Dsquared2 vs Feng | 8–9 | 47.06% |
| Dsquared2 vs Lee | 9–8 | 52.94% |
| Dsquared2 vs Azucena | 11–5 | 68.75% |
| Dsquared2 vs Claudio | 8–7 | 53.33% |
| Dsquared2 vs Victor | 11–4 | 73.33% |
| Dsquared2 vs Lili | 4–9 | 30.77% |
| Dsquared2 vs Asuka | 7–5 | 58.33% |
| Dsquared2 vs Nina | 9–3 | 75.00% |
| Dsquared2 vs Xiaoyu | 6–3 | 66.67% |
| Dsquared2 vs Leroy | 5–4 | 55.56% |
| Dsquared2 vs Kuma | 2–6 | 25.00% |
| Dsquared2 vs Fahkumram | 6–2 | 75.00% |
| Dsquared2 vs Leo | 5–2 | 71.43% |
| Dsquared2 vs Alisa | 2–5 | 28.57% |
| Dsquared2 vs Raven | 2–4 | 33.33% |
| Dsquared2 vs Jack-8 | 1–4 | 20.00% |
| Dsquared2 vs Anna | 1–4 | 20.00% |
| Dsquared2 vs Zafina | 4–0 | 100.00% |
| Dsquared2 vs Shaheen | 2–1 | 66.67% |
| Dsquared2 vs Panda | 1–0 | 100.00% |
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.