| d1nferno vs Jin | 69–49 | 58.47% |
| d1nferno vs Reina | 81–34 | 70.43% |
| d1nferno vs King | 46–51 | 47.42% |
| d1nferno vs Bryan | 40–54 | 42.55% |
| d1nferno vs Hwoarang | 36–49 | 42.35% |
| d1nferno vs Kazuya | 46–37 | 55.42% |
| d1nferno vs Paul | 43–38 | 53.09% |
| d1nferno vs Steve | 46–30 | 60.53% |
| d1nferno vs Law | 44–27 | 61.97% |
| d1nferno vs Yoshimitsu | 35–36 | 49.30% |
| d1nferno vs Eddy | 33–32 | 50.77% |
| d1nferno vs Lars | 34–30 | 53.12% |
| d1nferno vs Dragunov | 28–35 | 44.44% |
| d1nferno vs Lee | 34–26 | 56.67% |
| d1nferno vs Jun | 30–29 | 50.85% |
| d1nferno vs Alisa | 22–34 | 39.29% |
| d1nferno vs Feng | 19–33 | 36.54% |
| d1nferno vs Asuka | 24–26 | 48.00% |
| d1nferno vs Nina | 32–17 | 65.31% |
| d1nferno vs Leo | 24–24 | 50.00% |
| d1nferno vs Jack-8 | 26–18 | 59.09% |
| d1nferno vs Devil Jin | 26–18 | 59.09% |
| d1nferno vs Lili | 18–25 | 41.86% |
| d1nferno vs Azucena | 17–25 | 40.48% |
| d1nferno vs Zafina | 18–22 | 45.00% |
| d1nferno vs Leroy | 17–20 | 45.95% |
| d1nferno vs Victor | 13–24 | 35.14% |
| d1nferno vs Xiaoyu | 16–17 | 48.48% |
| d1nferno vs Raven | 23–10 | 69.70% |
| d1nferno vs Kuma | 14–14 | 50.00% |
| d1nferno vs Claudio | 8–15 | 34.78% |
| d1nferno vs Shaheen | 9–14 | 39.13% |
| d1nferno vs Heihachi | 6–4 | 60.00% |
| d1nferno vs Panda | 1–7 | 12.50% |
| d1nferno vs Lidia | 2–0 | 100.00% |
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.