| Mark_Hwarang vs Steve | 10–10 | 50.00% |
| Mark_Hwarang vs Kazuya | 7–9 | 43.75% |
| Mark_Hwarang vs Miary Zo | 7–8 | 46.67% |
| Mark_Hwarang vs Jin | 7–7 | 50.00% |
| Mark_Hwarang vs Lars | 6–7 | 46.15% |
| Mark_Hwarang vs Armor King | 7–5 | 58.33% |
| Mark_Hwarang vs Law | 5–6 | 45.45% |
| Mark_Hwarang vs Heihachi | 7–3 | 70.00% |
| Mark_Hwarang vs King | 7–1 | 87.50% |
| Mark_Hwarang vs Bryan | 3–5 | 37.50% |
| Mark_Hwarang vs Jun | 2–6 | 25.00% |
| Mark_Hwarang vs Feng | 5–2 | 71.43% |
| Mark_Hwarang vs Leroy | 6–1 | 85.71% |
| Mark_Hwarang vs Eddy | 4–3 | 57.14% |
| Mark_Hwarang vs Hwoarang | 5–1 | 83.33% |
| Mark_Hwarang vs Asuka | 1–5 | 16.67% |
| Mark_Hwarang vs Alisa | 1–5 | 16.67% |
| Mark_Hwarang vs Azucena | 6–0 | 100.00% |
| Mark_Hwarang vs Fahkumram | 6–0 | 100.00% |
| Mark_Hwarang vs Dragunov | 3–2 | 60.00% |
| Mark_Hwarang vs Lee | 1–4 | 20.00% |
| Mark_Hwarang vs Lili | 2–2 | 50.00% |
| Mark_Hwarang vs Nina | 2–2 | 50.00% |
| Mark_Hwarang vs Raven | 0–4 | 0.00% |
| Mark_Hwarang vs Paul | 1–2 | 33.33% |
| Mark_Hwarang vs Reina | 2–1 | 66.67% |
| Mark_Hwarang vs Anna | 1–2 | 33.33% |
| Mark_Hwarang vs Kuma | 0–2 | 0.00% |
| Mark_Hwarang vs Panda | 0–2 | 0.00% |
| Mark_Hwarang vs Clive | 2–0 | 100.00% |
| Mark_Hwarang vs Yoshimitsu | 1–0 | 100.00% |
| Mark_Hwarang vs Xiaoyu | 0–1 | 0.00% |
| Mark_Hwarang vs Jack-8 | 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.