| IHYNLD vs King | 273–193 | 58.58% |
| IHYNLD vs Jin | 200–241 | 45.35% |
| IHYNLD vs Law | 206–190 | 52.02% |
| IHYNLD vs Hwoarang | 174–188 | 48.07% |
| IHYNLD vs Kazuya | 188–168 | 52.81% |
| IHYNLD vs Steve | 159–163 | 49.38% |
| IHYNLD vs Bryan | 92–164 | 35.94% |
| IHYNLD vs Lili | 129–119 | 52.02% |
| IHYNLD vs Lars | 130–112 | 53.72% |
| IHYNLD vs Xiaoyu | 138–101 | 57.74% |
| IHYNLD vs Fahkumram | 110–128 | 46.22% |
| IHYNLD vs Lee | 106–117 | 47.53% |
| IHYNLD vs Yoshimitsu | 105–113 | 48.17% |
| IHYNLD vs Armor King | 94–120 | 43.93% |
| IHYNLD vs Paul | 111–93 | 54.41% |
| IHYNLD vs Eddy | 108–96 | 52.94% |
| IHYNLD vs Reina | 87–116 | 42.86% |
| IHYNLD vs Dragunov | 78–118 | 39.80% |
| IHYNLD vs Nina | 93–103 | 47.45% |
| IHYNLD vs Heihachi | 79–101 | 43.89% |
| IHYNLD vs Azucena | 85–94 | 47.49% |
| IHYNLD vs Jun | 104–57 | 64.60% |
| IHYNLD vs Lidia | 99–60 | 62.26% |
| IHYNLD vs Victor | 81–75 | 51.92% |
| IHYNLD vs Asuka | 79–73 | 51.97% |
| IHYNLD vs Feng | 83–68 | 54.97% |
| IHYNLD vs Anna | 71–79 | 47.33% |
| IHYNLD vs Leroy | 52–89 | 36.88% |
| IHYNLD vs Alisa | 65–64 | 50.39% |
| IHYNLD vs Devil Jin | 64–58 | 52.46% |
| IHYNLD vs Leo | 35–79 | 30.70% |
| IHYNLD vs Raven | 50–60 | 45.45% |
| IHYNLD vs Jack-8 | 42–62 | 40.38% |
| IHYNLD vs Clive | 53–46 | 53.54% |
| IHYNLD vs Miary Zo | 31–45 | 40.79% |
| IHYNLD vs Claudio | 29–40 | 42.03% |
| IHYNLD vs Zafina | 32–37 | 46.38% |
| IHYNLD vs Kuma | 22–34 | 39.29% |
| IHYNLD vs Panda | 19–20 | 48.72% |
| IHYNLD vs Shaheen | 15–23 | 39.47% |
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.