| Dalsan_2 vs Kazuya | 45–40 | 52.94% |
| Dalsan_2 vs Reina | 43–32 | 57.33% |
| Dalsan_2 vs Paul | 37–21 | 63.79% |
| Dalsan_2 vs Dragunov | 17–33 | 34.00% |
| Dalsan_2 vs Jin | 22–26 | 45.83% |
| Dalsan_2 vs King | 26–21 | 55.32% |
| Dalsan_2 vs Lili | 15–31 | 32.61% |
| Dalsan_2 vs Heihachi | 24–22 | 52.17% |
| Dalsan_2 vs Bryan | 16–24 | 40.00% |
| Dalsan_2 vs Victor | 15–20 | 42.86% |
| Dalsan_2 vs Eddy | 8–21 | 27.59% |
| Dalsan_2 vs Steve | 10–18 | 35.71% |
| Dalsan_2 vs Devil Jin | 12–13 | 48.00% |
| Dalsan_2 vs Hwoarang | 7–17 | 29.17% |
| Dalsan_2 vs Alisa | 8–12 | 40.00% |
| Dalsan_2 vs Law | 7–12 | 36.84% |
| Dalsan_2 vs Asuka | 10–8 | 55.56% |
| Dalsan_2 vs Lidia | 6–12 | 33.33% |
| Dalsan_2 vs Lars | 6–11 | 35.29% |
| Dalsan_2 vs Nina | 8–9 | 47.06% |
| Dalsan_2 vs Kuma | 7–10 | 41.18% |
| Dalsan_2 vs Jun | 9–8 | 52.94% |
| Dalsan_2 vs Yoshimitsu | 10–6 | 62.50% |
| Dalsan_2 vs Jack-8 | 6–10 | 37.50% |
| Dalsan_2 vs Leo | 8–7 | 53.33% |
| Dalsan_2 vs Feng | 9–5 | 64.29% |
| Dalsan_2 vs Leroy | 5–9 | 35.71% |
| Dalsan_2 vs Xiaoyu | 9–4 | 69.23% |
| Dalsan_2 vs Zafina | 9–3 | 75.00% |
| Dalsan_2 vs Claudio | 0–11 | 0.00% |
| Dalsan_2 vs Lee | 3–8 | 27.27% |
| Dalsan_2 vs Azucena | 6–5 | 54.55% |
| Dalsan_2 vs Raven | 0–5 | 0.00% |
| Dalsan_2 vs Shaheen | 3–1 | 75.00% |
| Dalsan_2 vs Panda | 0–3 | 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.