| disgamesux vs Armor King | 139–67 | 67.48% |
| disgamesux vs Bryan | 84–25 | 77.06% |
| disgamesux vs Yoshimitsu | 44–23 | 65.67% |
| disgamesux vs Lee | 46–21 | 68.66% |
| disgamesux vs Kazuya | 46–15 | 75.41% |
| disgamesux vs Heihachi | 42–17 | 71.19% |
| disgamesux vs Devil Jin | 45–13 | 77.59% |
| disgamesux vs Lili | 38–19 | 66.67% |
| disgamesux vs Law | 35–18 | 66.04% |
| disgamesux vs Hwoarang | 40–13 | 75.47% |
| disgamesux vs Dragunov | 37–15 | 71.15% |
| disgamesux vs Steve | 34–14 | 70.83% |
| disgamesux vs Leo | 26–16 | 61.90% |
| disgamesux vs Anna | 30–12 | 71.43% |
| disgamesux vs Jin | 32–8 | 80.00% |
| disgamesux vs King | 27–11 | 71.05% |
| disgamesux vs Feng | 24–12 | 66.67% |
| disgamesux vs Fahkumram | 23–13 | 63.89% |
| disgamesux vs Claudio | 21–12 | 63.64% |
| disgamesux vs Paul | 16–16 | 50.00% |
| disgamesux vs Jun | 18–9 | 66.67% |
| disgamesux vs Reina | 23–4 | 85.19% |
| disgamesux vs Azucena | 21–5 | 80.77% |
| disgamesux vs Nina | 18–6 | 75.00% |
| disgamesux vs Raven | 19–3 | 86.36% |
| disgamesux vs Xiaoyu | 17–2 | 89.47% |
| disgamesux vs Eddy | 13–5 | 72.22% |
| disgamesux vs Victor | 8–9 | 47.06% |
| disgamesux vs Asuka | 12–4 | 75.00% |
| disgamesux vs Clive | 11–4 | 73.33% |
| disgamesux vs Jack-8 | 8–6 | 57.14% |
| disgamesux vs Lars | 8–5 | 61.54% |
| disgamesux vs Kuma | 7–6 | 53.85% |
| disgamesux vs Shaheen | 8–4 | 66.67% |
| disgamesux vs Leroy | 8–0 | 100.00% |
| disgamesux vs Alisa | 4–3 | 57.14% |
| disgamesux vs Panda | 5–2 | 71.43% |
| disgamesux vs Zafina | 4–3 | 57.14% |
| disgamesux vs Miary Zo | 4–3 | 57.14% |
| disgamesux vs Lidia | 3–2 | 60.00% |
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.