| LorHenz vs Kazuya | 126–81 | 60.87% |
| LorHenz vs Jin | 109–69 | 61.24% |
| LorHenz vs Bryan | 112–64 | 63.64% |
| LorHenz vs Heihachi | 97–66 | 59.51% |
| LorHenz vs Law | 91–40 | 69.47% |
| LorHenz vs Lidia | 63–49 | 56.25% |
| LorHenz vs Yoshimitsu | 68–41 | 62.39% |
| LorHenz vs Dragunov | 60–49 | 55.05% |
| LorHenz vs Clive | 67–40 | 62.62% |
| LorHenz vs King | 66–39 | 62.86% |
| LorHenz vs Hwoarang | 80–24 | 76.92% |
| LorHenz vs Reina | 51–45 | 53.12% |
| LorHenz vs Lee | 48–42 | 53.33% |
| LorHenz vs Paul | 47–39 | 54.65% |
| LorHenz vs Devil Jin | 54–31 | 63.53% |
| LorHenz vs Steve | 55–28 | 66.27% |
| LorHenz vs Lars | 47–35 | 57.32% |
| LorHenz vs Lili | 37–34 | 52.11% |
| LorHenz vs Xiaoyu | 33–36 | 47.83% |
| LorHenz vs Jun | 36–23 | 61.02% |
| LorHenz vs Feng | 31–26 | 54.39% |
| LorHenz vs Azucena | 35–18–1 | 66.04% |
| LorHenz vs Asuka | 30–22 | 57.69% |
| LorHenz vs Armor King | 26–26 | 50.00% |
| LorHenz vs Victor | 28–21 | 57.14% |
| LorHenz vs Leo | 25–22 | 53.19% |
| LorHenz vs Claudio | 22–23 | 48.89% |
| LorHenz vs Jack-8 | 25–16 | 60.98% |
| LorHenz vs Leroy | 18–22 | 45.00% |
| LorHenz vs Nina | 22–16 | 57.89% |
| LorHenz vs Alisa | 19–16 | 54.29% |
| LorHenz vs Fahkumram | 20–15 | 57.14% |
| LorHenz vs Zafina | 19–15 | 55.88% |
| LorHenz vs Shaheen | 18–12 | 60.00% |
| LorHenz vs Raven | 17–11 | 60.71% |
| LorHenz vs Anna | 15–11 | 57.69% |
| LorHenz vs Eddy | 15–10 | 60.00% |
| LorHenz vs Kuma | 9–14 | 39.13% |
| LorHenz vs Miary Zo | 11–7 | 61.11% |
| LorHenz vs Panda | 7–1 | 87.50% |
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.