| mrhaadi vs Jin | 20–13 | 60.61% |
| mrhaadi vs King | 17–12 | 58.62% |
| mrhaadi vs Hwoarang | 15–11 | 57.69% |
| mrhaadi vs Kazuya | 14–11 | 56.00% |
| mrhaadi vs Lili | 13–8 | 61.90% |
| mrhaadi vs Bryan | 6–13 | 31.58% |
| mrhaadi vs Paul | 8–8 | 50.00% |
| mrhaadi vs Yoshimitsu | 6–10 | 37.50% |
| mrhaadi vs Reina | 8–8 | 50.00% |
| mrhaadi vs Steve | 8–6 | 57.14% |
| mrhaadi vs Feng | 6–6 | 50.00% |
| mrhaadi vs Dragunov | 5–7 | 41.67% |
| mrhaadi vs Jun | 5–7 | 41.67% |
| mrhaadi vs Alisa | 6–5 | 54.55% |
| mrhaadi vs Nina | 8–3 | 72.73% |
| mrhaadi vs Miary Zo | 7–4 | 63.64% |
| mrhaadi vs Azucena | 4–6 | 40.00% |
| mrhaadi vs Law | 6–3 | 66.67% |
| mrhaadi vs Asuka | 4–5 | 44.44% |
| mrhaadi vs Devil Jin | 7–1 | 87.50% |
| mrhaadi vs Armor King | 6–2 | 75.00% |
| mrhaadi vs Victor | 4–3 | 57.14% |
| mrhaadi vs Anna | 4–3 | 57.14% |
| mrhaadi vs Lars | 2–4 | 33.33% |
| mrhaadi vs Claudio | 3–3 | 50.00% |
| mrhaadi vs Heihachi | 3–3 | 50.00% |
| mrhaadi vs Xiaoyu | 3–2 | 60.00% |
| mrhaadi vs Jack-8 | 2–3 | 40.00% |
| mrhaadi vs Leo | 0–4 | 0.00% |
| mrhaadi vs Lee | 3–1 | 75.00% |
| mrhaadi vs Eddy | 1–3 | 25.00% |
| mrhaadi vs Fahkumram | 0–4 | 0.00% |
| mrhaadi vs Panda | 2–0 | 100.00% |
| mrhaadi vs Raven | 0–2 | 0.00% |
| mrhaadi vs Lidia | 1–1 | 50.00% |
| mrhaadi vs Zafina | 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.