| DsHiZnIt vs Heihachi | 17–24 | 41.46% |
| DsHiZnIt vs King | 18–19 | 48.65% |
| DsHiZnIt vs Kazuya | 12–16 | 42.86% |
| DsHiZnIt vs Lee | 12–11 | 52.17% |
| DsHiZnIt vs Reina | 14–9 | 60.87% |
| DsHiZnIt vs Hwoarang | 13–9 | 59.09% |
| DsHiZnIt vs Bryan | 12–8 | 60.00% |
| DsHiZnIt vs Azucena | 11–7 | 61.11% |
| DsHiZnIt vs Steve | 0–16 | 0.00% |
| DsHiZnIt vs Lidia | 9–7 | 56.25% |
| DsHiZnIt vs Nina | 5–9 | 35.71% |
| DsHiZnIt vs Xiaoyu | 8–4 | 66.67% |
| DsHiZnIt vs Lili | 5–7 | 41.67% |
| DsHiZnIt vs Jun | 7–5 | 58.33% |
| DsHiZnIt vs Zafina | 3–7 | 30.00% |
| DsHiZnIt vs Paul | 2–7 | 22.22% |
| DsHiZnIt vs Leo | 5–4 | 55.56% |
| DsHiZnIt vs Asuka | 6–2 | 75.00% |
| DsHiZnIt vs Feng | 3–5 | 37.50% |
| DsHiZnIt vs Lars | 3–5 | 37.50% |
| DsHiZnIt vs Clive | 5–3 | 62.50% |
| DsHiZnIt vs Yoshimitsu | 6–1 | 85.71% |
| DsHiZnIt vs Dragunov | 2–5 | 28.57% |
| DsHiZnIt vs Victor | 2–4 | 33.33% |
| DsHiZnIt vs Eddy | 1–5 | 16.67% |
| DsHiZnIt vs Anna | 3–3 | 50.00% |
| DsHiZnIt vs Jin | 4–1 | 80.00% |
| DsHiZnIt vs Kuma | 1–4 | 20.00% |
| DsHiZnIt vs Fahkumram | 3–2 | 60.00% |
| DsHiZnIt vs Law | 3–1 | 75.00% |
| DsHiZnIt vs Devil Jin | 0–4 | 0.00% |
| DsHiZnIt vs Claudio | 0–4 | 0.00% |
| DsHiZnIt vs Raven | 4–0 | 100.00% |
| DsHiZnIt vs Alisa | 0–3 | 0.00% |
| DsHiZnIt vs Shaheen | 0–2 | 0.00% |
| DsHiZnIt vs Leroy | 2–0 | 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.