| MANDALORIAN vs Kazuya | 64–73 | 46.72% |
| MANDALORIAN vs Jin | 56–50 | 52.83% |
| MANDALORIAN vs Bryan | 50–51 | 49.50% |
| MANDALORIAN vs Hwoarang | 58–33 | 63.74% |
| MANDALORIAN vs Law | 38–41 | 48.10% |
| MANDALORIAN vs King | 37–40 | 48.05% |
| MANDALORIAN vs Steve | 43–26 | 62.32% |
| MANDALORIAN vs Reina | 45–21 | 68.18% |
| MANDALORIAN vs Dragunov | 27–29 | 48.21% |
| MANDALORIAN vs Yoshimitsu | 21–30 | 41.18% |
| MANDALORIAN vs Lili | 20–24 | 45.45% |
| MANDALORIAN vs Devil Jin | 17–23 | 42.50% |
| MANDALORIAN vs Heihachi | 20–20 | 50.00% |
| MANDALORIAN vs Feng | 15–22 | 40.54% |
| MANDALORIAN vs Paul | 11–24 | 31.43% |
| MANDALORIAN vs Armor King | 15–19 | 44.12% |
| MANDALORIAN vs Azucena | 19–13 | 59.38% |
| MANDALORIAN vs Asuka | 18–9 | 66.67% |
| MANDALORIAN vs Jack-8 | 9–17 | 34.62% |
| MANDALORIAN vs Jun | 15–11 | 57.69% |
| MANDALORIAN vs Lee | 18–7 | 72.00% |
| MANDALORIAN vs Nina | 13–11 | 54.17% |
| MANDALORIAN vs Victor | 10–14 | 41.67% |
| MANDALORIAN vs Lars | 8–15 | 34.78% |
| MANDALORIAN vs Alisa | 9–13 | 40.91% |
| MANDALORIAN vs Xiaoyu | 7–14 | 33.33% |
| MANDALORIAN vs Claudio | 5–15 | 25.00% |
| MANDALORIAN vs Leroy | 9–11 | 45.00% |
| MANDALORIAN vs Eddy | 8–12 | 40.00% |
| MANDALORIAN vs Anna | 8–10 | 44.44% |
| MANDALORIAN vs Raven | 9–7 | 56.25% |
| MANDALORIAN vs Leo | 8–4 | 66.67% |
| MANDALORIAN vs Lidia | 3–6 | 33.33% |
| MANDALORIAN vs Clive | 2–7 | 22.22% |
| MANDALORIAN vs Fahkumram | 2–7 | 22.22% |
| MANDALORIAN vs Zafina | 1–7 | 12.50% |
| MANDALORIAN vs Kuma | 2–2 | 50.00% |
| MANDALORIAN vs Panda | 2–1 | 66.67% |
| MANDALORIAN vs Shaheen | 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.