| CLO_Rage vs Kazuya | 428–487 | 46.78% |
| CLO_Rage vs Bryan | 421–483 | 46.57% |
| CLO_Rage vs Jin | 463–406 | 53.28% |
| CLO_Rage vs King | 373–399 | 48.32% |
| CLO_Rage vs Reina | 399–362 | 52.43% |
| CLO_Rage vs Hwoarang | 300–360 | 45.45% |
| CLO_Rage vs Law | 330–323 | 50.54% |
| CLO_Rage vs Heihachi | 299–348 | 46.21% |
| CLO_Rage vs Steve | 285–357 | 44.39% |
| CLO_Rage vs Lee | 245–257 | 48.80% |
| CLO_Rage vs Paul | 210–286 | 42.34% |
| CLO_Rage vs Yoshimitsu | 209–264 | 44.19% |
| CLO_Rage vs Lars | 209–261–1 | 44.47% |
| CLO_Rage vs Dragunov | 236–231 | 50.54% |
| CLO_Rage vs Azucena | 228–216 | 51.35% |
| CLO_Rage vs Jun | 226–217 | 51.02% |
| CLO_Rage vs Asuka | 189–227 | 45.43% |
| CLO_Rage vs Eddy | 172–235 | 42.26% |
| CLO_Rage vs Lili | 170–219 | 43.70% |
| CLO_Rage vs Xiaoyu | 203–176 | 53.56% |
| CLO_Rage vs Devil Jin | 168–184 | 47.73% |
| CLO_Rage vs Feng | 145–193 | 42.90% |
| CLO_Rage vs Nina | 155–182 | 45.99% |
| CLO_Rage vs Raven | 146–178 | 45.06% |
| CLO_Rage vs Victor | 125–188 | 39.94% |
| CLO_Rage vs Leo | 130–162 | 44.52% |
| CLO_Rage vs Leroy | 103–174 | 37.18% |
| CLO_Rage vs Lidia | 123–151 | 44.89% |
| CLO_Rage vs Alisa | 103–133 | 43.64% |
| CLO_Rage vs Clive | 108–116 | 48.21% |
| CLO_Rage vs Jack-8 | 100–111 | 47.39% |
| CLO_Rage vs Claudio | 75–134 | 35.89% |
| CLO_Rage vs Shaheen | 61–102 | 37.42% |
| CLO_Rage vs Zafina | 44–97 | 31.21% |
| CLO_Rage vs Kuma | 57–72 | 44.19% |
| CLO_Rage vs Anna | 28–47–1 | 37.33% |
| CLO_Rage vs Panda | 21–33 | 38.89% |
| CLO_Rage vs Fahkumram | 5–15 | 25.00% |
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.