| S4EPHANH vs Bryan | 341–333 | 50.59% |
| S4EPHANH vs Kazuya | 320–283 | 53.07% |
| S4EPHANH vs Jin | 323–274 | 54.10% |
| S4EPHANH vs King | 340–218 | 60.93% |
| S4EPHANH vs Law | 290–251 | 53.60% |
| S4EPHANH vs Hwoarang | 252–229 | 52.39% |
| S4EPHANH vs Steve | 235–227 | 50.87% |
| S4EPHANH vs Reina | 208–242 | 46.22% |
| S4EPHANH vs Lili | 266–168 | 61.29% |
| S4EPHANH vs Lee | 209–192 | 52.12% |
| S4EPHANH vs Yoshimitsu | 183–197 | 48.16% |
| S4EPHANH vs Dragunov | 191–151 | 55.85% |
| S4EPHANH vs Heihachi | 174–152 | 53.37% |
| S4EPHANH vs Jun | 165–160 | 50.77% |
| S4EPHANH vs Paul | 138–180 | 43.40% |
| S4EPHANH vs Lars | 149–151 | 49.67% |
| S4EPHANH vs Nina | 153–147 | 51.00% |
| S4EPHANH vs Asuka | 161–135 | 54.39% |
| S4EPHANH vs Azucena | 156–140 | 52.70% |
| S4EPHANH vs Devil Jin | 138–145 | 48.76% |
| S4EPHANH vs Feng | 118–114 | 50.86% |
| S4EPHANH vs Eddy | 121–111 | 52.16% |
| S4EPHANH vs Leo | 109–120 | 47.60% |
| S4EPHANH vs Victor | 122–102 | 54.46% |
| S4EPHANH vs Lidia | 93–131 | 41.52% |
| S4EPHANH vs Claudio | 93–100 | 48.19% |
| S4EPHANH vs Leroy | 82–90 | 47.67% |
| S4EPHANH vs Xiaoyu | 75–95 | 44.12% |
| S4EPHANH vs Anna | 79–91 | 46.47% |
| S4EPHANH vs Alisa | 83–74 | 52.87% |
| S4EPHANH vs Clive | 79–77 | 50.64% |
| S4EPHANH vs Raven | 59–88 | 40.14% |
| S4EPHANH vs Shaheen | 76–70 | 52.05% |
| S4EPHANH vs Jack-8 | 74–71 | 51.03% |
| S4EPHANH vs Armor King | 85–54 | 61.15% |
| S4EPHANH vs Fahkumram | 60–75 | 44.44% |
| S4EPHANH vs Zafina | 51–78 | 39.53% |
| S4EPHANH vs Kuma | 63–57 | 52.50% |
| S4EPHANH vs Panda | 23–16 | 58.97% |
| S4EPHANH vs Miary Zo | 15–24 | 38.46% |
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.