| Ignis_TR vs Kazuya | 252–301 | 45.57% |
| Ignis_TR vs Bryan | 275–249 | 52.48% |
| Ignis_TR vs Hwoarang | 273–237–1 | 53.53% |
| Ignis_TR vs Jin | 205–233 | 46.80% |
| Ignis_TR vs King | 222–210 | 51.39% |
| Ignis_TR vs Steve | 251–175 | 58.92% |
| Ignis_TR vs Law | 197–179 | 52.39% |
| Ignis_TR vs Reina | 179–195 | 47.86% |
| Ignis_TR vs Paul | 157–191 | 45.11% |
| Ignis_TR vs Lee | 166–152–1 | 52.20% |
| Ignis_TR vs Heihachi | 132–169 | 43.85% |
| Ignis_TR vs Yoshimitsu | 138–135 | 50.55% |
| Ignis_TR vs Lidia | 123–126 | 49.40% |
| Ignis_TR vs Dragunov | 128–113 | 53.11% |
| Ignis_TR vs Azucena | 124–117 | 51.45% |
| Ignis_TR vs Lars | 113–126 | 47.28% |
| Ignis_TR vs Lili | 93–134 | 40.97% |
| Ignis_TR vs Miary Zo | 101–119 | 45.91% |
| Ignis_TR vs Victor | 113–95 | 54.33% |
| Ignis_TR vs Feng | 97–107 | 47.55% |
| Ignis_TR vs Asuka | 81–116–1 | 41.12% |
| Ignis_TR vs Leo | 87–109 | 44.39% |
| Ignis_TR vs Nina | 95–100 | 48.72% |
| Ignis_TR vs Armor King | 92–100 | 47.92% |
| Ignis_TR vs Devil Jin | 88–102 | 46.32% |
| Ignis_TR vs Jun | 92–97 | 48.68% |
| Ignis_TR vs Xiaoyu | 86–90 | 48.86% |
| Ignis_TR vs Eddy | 78–91 | 46.15% |
| Ignis_TR vs Fahkumram | 78–90 | 46.43% |
| Ignis_TR vs Clive | 68–95 | 41.72% |
| Ignis_TR vs Jack-8 | 71–90 | 44.10% |
| Ignis_TR vs Alisa | 54–96 | 36.00% |
| Ignis_TR vs Leroy | 53–86 | 38.13% |
| Ignis_TR vs Raven | 63–76 | 45.32% |
| Ignis_TR vs Claudio | 64–69 | 48.12% |
| Ignis_TR vs Zafina | 42–70 | 37.50% |
| Ignis_TR vs Shaheen | 43–59 | 42.16% |
| Ignis_TR vs Kuma | 51–48–1 | 51.52% |
| Ignis_TR vs Anna | 31–61 | 33.70% |
| Ignis_TR vs Panda | 18–26 | 40.91% |
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.