| 0레드몽0 vs Bryan | 256–270 | 48.67% |
| 0레드몽0 vs Kazuya | 201–287 | 41.19% |
| 0레드몽0 vs Hwoarang | 179–250 | 41.72% |
| 0레드몽0 vs Dragunov | 187–203 | 47.95% |
| 0레드몽0 vs Jin | 181–208 | 46.53% |
| 0레드몽0 vs King | 160–199 | 44.57% |
| 0레드몽0 vs Steve | 125–209 | 37.43% |
| 0레드몽0 vs Reina | 132–179 | 42.44% |
| 0레드몽0 vs Paul | 127–182 | 41.10% |
| 0레드몽0 vs Law | 124–156 | 44.29% |
| 0레드몽0 vs Yoshimitsu | 92–167 | 35.52% |
| 0레드몽0 vs Lars | 109–147 | 42.58% |
| 0레드몽0 vs Asuka | 107–135 | 44.21% |
| 0레드몽0 vs Lili | 98–137 | 41.70% |
| 0레드몽0 vs Victor | 86–147 | 36.91% |
| 0레드몽0 vs Nina | 99–120 | 45.21% |
| 0레드몽0 vs Heihachi | 93–109 | 46.04% |
| 0레드몽0 vs Fahkumram | 92–106–1 | 46.46% |
| 0레드몽0 vs Devil Jin | 73–123 | 37.24% |
| 0레드몽0 vs Feng | 75–89 | 45.73% |
| 0레드몽0 vs Azucena | 68–96 | 41.46% |
| 0레드몽0 vs Anna | 63–100 | 38.65% |
| 0레드몽0 vs Claudio | 70–91 | 43.48% |
| 0레드몽0 vs Jack-8 | 79–79 | 50.00% |
| 0레드몽0 vs Xiaoyu | 60–96 | 38.46% |
| 0레드몽0 vs Leo | 69–84 | 45.10% |
| 0레드몽0 vs Lee | 55–91 | 37.67% |
| 0레드몽0 vs Jun | 54–92 | 36.99% |
| 0레드몽0 vs Eddy | 69–75 | 47.92% |
| 0레드몽0 vs Leroy | 54–85 | 38.85% |
| 0레드몽0 vs Clive | 47–85 | 35.61% |
| 0레드몽0 vs Alisa | 48–69 | 41.03% |
| 0레드몽0 vs Armor King | 53–57 | 48.18% |
| 0레드몽0 vs Zafina | 38–57 | 40.00% |
| 0레드몽0 vs Lidia | 39–45 | 46.43% |
| 0레드몽0 vs Raven | 24–46 | 34.29% |
| 0레드몽0 vs Kuma | 31–31 | 50.00% |
| 0레드몽0 vs Shaheen | 29–30 | 49.15% |
| 0레드몽0 vs Panda | 15–20 | 42.86% |
| 0레드몽0 vs Miary Zo | 13–12 | 52.00% |
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.