| KGR_B vs Bryan | 707–653 | 51.99% |
| KGR_B vs Dragunov | 510–434 | 54.03% |
| KGR_B vs Kazuya | 497–444 | 52.82% |
| KGR_B vs Asuka | 414–419 | 49.70% |
| KGR_B vs Steve | 337–495 | 40.50% |
| KGR_B vs King | 425–378 | 52.93% |
| KGR_B vs Hwoarang | 398–400 | 49.87% |
| KGR_B vs Paul | 421–376 | 52.82% |
| KGR_B vs Reina | 415–372 | 52.73% |
| KGR_B vs Jin | 358–407 | 46.80% |
| KGR_B vs Heihachi | 375–366 | 50.61% |
| KGR_B vs Lars | 375–342 | 52.30% |
| KGR_B vs Yoshimitsu | 296–397 | 42.71% |
| KGR_B vs Lili | 364–324 | 52.91% |
| KGR_B vs Law | 341–342 | 49.93% |
| KGR_B vs Feng | 332–295 | 52.95% |
| KGR_B vs Victor | 252–326 | 43.60% |
| KGR_B vs Claudio | 284–272 | 51.08% |
| KGR_B vs Lee | 270–282 | 48.91% |
| KGR_B vs Jun | 265–286 | 48.09% |
| KGR_B vs Jack-8 | 232–311 | 42.73% |
| KGR_B vs Nina | 280–254 | 52.43% |
| KGR_B vs Devil Jin | 249–266 | 48.35% |
| KGR_B vs Alisa | 275–235 | 53.92% |
| KGR_B vs Lidia | 222–256 | 46.44% |
| KGR_B vs Azucena | 248–216 | 53.45% |
| KGR_B vs Eddy | 204–258 | 44.16% |
| KGR_B vs Xiaoyu | 256–203 | 55.77% |
| KGR_B vs Shaheen | 239–214 | 52.76% |
| KGR_B vs Leroy | 222–217 | 50.57% |
| KGR_B vs Zafina | 191–244 | 43.91% |
| KGR_B vs Leo | 236–183 | 56.32% |
| KGR_B vs Raven | 207–202 | 50.61% |
| KGR_B vs Clive | 161–219 | 42.37% |
| KGR_B vs Kuma | 119–121 | 49.58% |
| KGR_B vs Anna | 120–119 | 50.21% |
| KGR_B vs Armor King | 85–96 | 46.96% |
| KGR_B vs Fahkumram | 77–83 | 48.12% |
| KGR_B vs Panda | 47–82 | 36.43% |
| KGR_B vs Miary Zo | 44–64 | 40.74% |
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.