| 10선을못해서날먹당하는이종원 vs Steve | 12–1 | 92.31% |
| 10선을못해서날먹당하는이종원 vs Kazuya | 8–4 | 66.67% |
| 10선을못해서날먹당하는이종원 vs Dragunov | 8–3 | 72.73% |
| 10선을못해서날먹당하는이종원 vs Hwoarang | 7–3 | 70.00% |
| 10선을못해서날먹당하는이종원 vs Jin | 7–1 | 87.50% |
| 10선을못해서날먹당하는이종원 vs Reina | 4–3 | 57.14% |
| 10선을못해서날먹당하는이종원 vs Azucena | 5–2 | 71.43% |
| 10선을못해서날먹당하는이종원 vs Bryan | 5–1 | 83.33% |
| 10선을못해서날먹당하는이종원 vs Asuka | 5–1 | 83.33% |
| 10선을못해서날먹당하는이종원 vs Lars | 3–3 | 50.00% |
| 10선을못해서날먹당하는이종원 vs Xiaoyu | 2–3 | 40.00% |
| 10선을못해서날먹당하는이종원 vs Jack-8 | 4–1 | 80.00% |
| 10선을못해서날먹당하는이종원 vs Claudio | 3–2 | 60.00% |
| 10선을못해서날먹당하는이종원 vs Paul | 0–4 | 0.00% |
| 10선을못해서날먹당하는이종원 vs Law | 2–2 | 50.00% |
| 10선을못해서날먹당하는이종원 vs Lee | 2–2 | 50.00% |
| 10선을못해서날먹당하는이종원 vs Victor | 4–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Heihachi | 2–2 | 50.00% |
| 10선을못해서날먹당하는이종원 vs King | 2–1 | 66.67% |
| 10선을못해서날먹당하는이종원 vs Leo | 2–1 | 66.67% |
| 10선을못해서날먹당하는이종원 vs Leroy | 2–1 | 66.67% |
| 10선을못해서날먹당하는이종원 vs Fahkumram | 2–1 | 66.67% |
| 10선을못해서날먹당하는이종원 vs Kuma | 2–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Jun | 2–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Lidia | 2–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Yoshimitsu | 0–1 | 0.00% |
| 10선을못해서날먹당하는이종원 vs Feng | 0–1 | 0.00% |
| 10선을못해서날먹당하는이종원 vs Lili | 1–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Shaheen | 1–0 | 100.00% |
| 10선을못해서날먹당하는이종원 vs Clive | 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.