| 1주일된 철린이 vs Dragunov | 53–52 | 50.48% |
| 1주일된 철린이 vs Heihachi | 48–49 | 49.48% |
| 1주일된 철린이 vs Bryan | 46–35 | 56.79% |
| 1주일된 철린이 vs Hwoarang | 45–34 | 56.96% |
| 1주일된 철린이 vs Kazuya | 38–34 | 52.78% |
| 1주일된 철린이 vs King | 27–43 | 38.57% |
| 1주일된 철린이 vs Paul | 45–24 | 65.22% |
| 1주일된 철린이 vs Jin | 25–31 | 44.64% |
| 1주일된 철린이 vs Lili | 26–23 | 53.06% |
| 1주일된 철린이 vs Law | 28–18 | 60.87% |
| 1주일된 철린이 vs Feng | 21–25 | 45.65% |
| 1주일된 철린이 vs Alisa | 22–24 | 47.83% |
| 1주일된 철린이 vs Yoshimitsu | 14–28 | 33.33% |
| 1주일된 철린이 vs Asuka | 22–19 | 53.66% |
| 1주일된 철린이 vs Victor | 25–16 | 60.98% |
| 1주일된 철린이 vs Reina | 20–19 | 51.28% |
| 1주일된 철린이 vs Jack-8 | 18–16 | 52.94% |
| 1주일된 철린이 vs Azucena | 14–17 | 45.16% |
| 1주일된 철린이 vs Lars | 13–17 | 43.33% |
| 1주일된 철린이 vs Nina | 16–14 | 53.33% |
| 1주일된 철린이 vs Steve | 13–16 | 44.83% |
| 1주일된 철린이 vs Devil Jin | 17–12 | 58.62% |
| 1주일된 철린이 vs Xiaoyu | 17–7 | 70.83% |
| 1주일된 철린이 vs Claudio | 13–11 | 54.17% |
| 1주일된 철린이 vs Lidia | 12–10 | 54.55% |
| 1주일된 철린이 vs Zafina | 9–12 | 42.86% |
| 1주일된 철린이 vs Jun | 14–6 | 70.00% |
| 1주일된 철린이 vs Shaheen | 9–9 | 50.00% |
| 1주일된 철린이 vs Lee | 9–9 | 50.00% |
| 1주일된 철린이 vs Leo | 4–13 | 23.53% |
| 1주일된 철린이 vs Raven | 8–8 | 50.00% |
| 1주일된 철린이 vs Eddy | 5–8 | 38.46% |
| 1주일된 철린이 vs Kuma | 3–7 | 30.00% |
| 1주일된 철린이 vs Leroy | 5–5 | 50.00% |
| 1주일된 철린이 vs Panda | 4–4 | 50.00% |
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.