| DSM.Jio vs Jin | 24–13 | 64.86% |
| DSM.Jio vs Bryan | 15–16 | 48.39% |
| DSM.Jio vs Fahkumram | 11–18 | 37.93% |
| DSM.Jio vs Kazuya | 18–10 | 64.29% |
| DSM.Jio vs Dragunov | 16–12 | 57.14% |
| DSM.Jio vs Reina | 18–8 | 69.23% |
| DSM.Jio vs Heihachi | 13–10 | 56.52% |
| DSM.Jio vs Steve | 12–9 | 57.14% |
| DSM.Jio vs Asuka | 13–6 | 68.42% |
| DSM.Jio vs Yoshimitsu | 14–3 | 82.35% |
| DSM.Jio vs Hwoarang | 11–6 | 64.71% |
| DSM.Jio vs King | 10–5 | 66.67% |
| DSM.Jio vs Lili | 10–4 | 71.43% |
| DSM.Jio vs Eddy | 11–3 | 78.57% |
| DSM.Jio vs Clive | 11–3 | 78.57% |
| DSM.Jio vs Xiaoyu | 10–1 | 90.91% |
| DSM.Jio vs Leo | 5–6 | 45.45% |
| DSM.Jio vs Nina | 8–3 | 72.73% |
| DSM.Jio vs Jun | 8–3 | 72.73% |
| DSM.Jio vs Paul | 5–5 | 50.00% |
| DSM.Jio vs Law | 6–4 | 60.00% |
| DSM.Jio vs Devil Jin | 8–2 | 80.00% |
| DSM.Jio vs Feng | 4–6 | 40.00% |
| DSM.Jio vs Azucena | 7–3 | 70.00% |
| DSM.Jio vs Lidia | 4–6 | 40.00% |
| DSM.Jio vs Anna | 4–5 | 44.44% |
| DSM.Jio vs Armor King | 6–2 | 75.00% |
| DSM.Jio vs Lars | 5–2 | 71.43% |
| DSM.Jio vs Shaheen | 5–2 | 71.43% |
| DSM.Jio vs Lee | 5–2 | 71.43% |
| DSM.Jio vs Zafina | 3–4 | 42.86% |
| DSM.Jio vs Leroy | 6–1 | 85.71% |
| DSM.Jio vs Claudio | 2–4 | 33.33% |
| DSM.Jio vs Raven | 2–4 | 33.33% |
| DSM.Jio vs Miary Zo | 4–2 | 66.67% |
| DSM.Jio vs Jack-8 | 0–3 | 0.00% |
| DSM.Jio vs Victor | 3–0 | 100.00% |
| DSM.Jio vs Panda | 2–0 | 100.00% |
| DSM.Jio vs Alisa | 1–0 | 100.00% |
| DSM.Jio vs Kuma | 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.