| igNorka vs Kazuya | 228–279–1 | 44.97% |
| igNorka vs Jin | 176–206 | 46.07% |
| igNorka vs King | 139–209 | 39.94% |
| igNorka vs Dragunov | 130–194 | 40.12% |
| igNorka vs Bryan | 111–177 | 38.54% |
| igNorka vs Reina | 139–140 | 49.82% |
| igNorka vs Heihachi | 121–151 | 44.49% |
| igNorka vs Hwoarang | 87–154 | 36.10% |
| igNorka vs Armor King | 109–132 | 45.23% |
| igNorka vs Steve | 109–127 | 46.19% |
| igNorka vs Law | 95–109 | 46.57% |
| igNorka vs Asuka | 75–103 | 42.13% |
| igNorka vs Lili | 76–98 | 43.68% |
| igNorka vs Yoshimitsu | 72–98 | 42.35% |
| igNorka vs Azucena | 78–86 | 47.56% |
| igNorka vs Paul | 70–92 | 43.21% |
| igNorka vs Feng | 61–80 | 43.26% |
| igNorka vs Lee | 59–66 | 47.20% |
| igNorka vs Lars | 47–73 | 39.17% |
| igNorka vs Jun | 51–65 | 43.97% |
| igNorka vs Devil Jin | 38–76 | 33.33% |
| igNorka vs Eddy | 49–65 | 42.98% |
| igNorka vs Alisa | 41–69 | 37.27% |
| igNorka vs Nina | 37–62 | 37.37% |
| igNorka vs Lidia | 55–44 | 55.56% |
| igNorka vs Fahkumram | 37–61 | 37.76% |
| igNorka vs Clive | 37–58 | 38.95% |
| igNorka vs Xiaoyu | 35–55 | 38.89% |
| igNorka vs Victor | 30–55 | 35.29% |
| igNorka vs Leo | 38–42 | 47.50% |
| igNorka vs Anna | 23–54 | 29.87% |
| igNorka vs Leroy | 24–38 | 38.71% |
| igNorka vs Jack-8 | 17–41 | 29.31% |
| igNorka vs Claudio | 20–36 | 35.71% |
| igNorka vs Shaheen | 17–24 | 41.46% |
| igNorka vs Miary Zo | 19–21 | 47.50% |
| igNorka vs Raven | 11–27 | 28.95% |
| igNorka vs Zafina | 17–19 | 47.22% |
| igNorka vs Kuma | 10–16 | 38.46% |
| igNorka vs Panda | 7–11 | 38.89% |
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.