| TheMarkSide vs Armor King | 23–29 | 44.23% |
| TheMarkSide vs King | 14–8 | 63.64% |
| TheMarkSide vs Jin | 9–11 | 45.00% |
| TheMarkSide vs Hwoarang | 12–4 | 75.00% |
| TheMarkSide vs Reina | 11–5 | 68.75% |
| TheMarkSide vs Law | 8–6 | 57.14% |
| TheMarkSide vs Yoshimitsu | 7–6 | 53.85% |
| TheMarkSide vs Kazuya | 7–3 | 70.00% |
| TheMarkSide vs Lili | 4–6 | 40.00% |
| TheMarkSide vs Azucena | 7–3 | 70.00% |
| TheMarkSide vs Steve | 6–3 | 66.67% |
| TheMarkSide vs Lars | 2–7 | 22.22% |
| TheMarkSide vs Bryan | 5–1 | 83.33% |
| TheMarkSide vs Jack-8 | 4–2 | 66.67% |
| TheMarkSide vs Asuka | 4–2 | 66.67% |
| TheMarkSide vs Anna | 4–2 | 66.67% |
| TheMarkSide vs Lidia | 4–1 | 80.00% |
| TheMarkSide vs Heihachi | 4–1 | 80.00% |
| TheMarkSide vs Paul | 3–1 | 75.00% |
| TheMarkSide vs Claudio | 2–2 | 50.00% |
| TheMarkSide vs Nina | 2–2 | 50.00% |
| TheMarkSide vs Leroy | 3–1 | 75.00% |
| TheMarkSide vs Jun | 1–3 | 25.00% |
| TheMarkSide vs Eddy | 3–1 | 75.00% |
| TheMarkSide vs Devil Jin | 1–2 | 33.33% |
| TheMarkSide vs Lee | 0–3 | 0.00% |
| TheMarkSide vs Zafina | 1–2 | 33.33% |
| TheMarkSide vs Victor | 0–3 | 0.00% |
| TheMarkSide vs Clive | 2–0 | 100.00% |
| TheMarkSide vs Fahkumram | 0–2 | 0.00% |
| TheMarkSide vs Dragunov | 0–1 | 0.00% |
| TheMarkSide vs Kuma | 0–1 | 0.00% |
| TheMarkSide vs Raven | 0–1 | 0.00% |
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.