| SeraphEnd vs Jin | 244–295–1 | 45.27% |
| SeraphEnd vs Kazuya | 255–283 | 47.40% |
| SeraphEnd vs King | 230–293 | 43.98% |
| SeraphEnd vs Reina | 194–243 | 44.39% |
| SeraphEnd vs Bryan | 198–236 | 45.62% |
| SeraphEnd vs Law | 188–216 | 46.53% |
| SeraphEnd vs Steve | 168–231 | 42.11% |
| SeraphEnd vs Hwoarang | 199–184 | 51.96% |
| SeraphEnd vs Heihachi | 127–173 | 42.33% |
| SeraphEnd vs Dragunov | 145–153 | 48.66% |
| SeraphEnd vs Azucena | 125–159 | 44.01% |
| SeraphEnd vs Lili | 165–114 | 59.14% |
| SeraphEnd vs Paul | 111–157 | 41.42% |
| SeraphEnd vs Eddy | 130–128 | 50.39% |
| SeraphEnd vs Jun | 121–133 | 47.64% |
| SeraphEnd vs Yoshimitsu | 107–139 | 43.50% |
| SeraphEnd vs Lee | 102–133 | 43.40% |
| SeraphEnd vs Lars | 101–104 | 49.27% |
| SeraphEnd vs Xiaoyu | 100–97 | 50.76% |
| SeraphEnd vs Lidia | 105–76 | 58.01% |
| SeraphEnd vs Feng | 75–99 | 43.10% |
| SeraphEnd vs Victor | 82–89 | 47.95% |
| SeraphEnd vs Nina | 64–102 | 38.55% |
| SeraphEnd vs Raven | 66–95 | 40.99% |
| SeraphEnd vs Asuka | 76–83 | 47.80% |
| SeraphEnd vs Leo | 58–97 | 37.42% |
| SeraphEnd vs Armor King | 68–82 | 45.33% |
| SeraphEnd vs Devil Jin | 59–83 | 41.55% |
| SeraphEnd vs Jack-8 | 62–74 | 45.59% |
| SeraphEnd vs Alisa | 62–73 | 45.93% |
| SeraphEnd vs Clive | 48–65 | 42.48% |
| SeraphEnd vs Leroy | 41–62 | 39.81% |
| SeraphEnd vs Fahkumram | 33–70 | 32.04% |
| SeraphEnd vs Kuma | 56–40 | 58.33% |
| SeraphEnd vs Claudio | 42–44 | 48.84% |
| SeraphEnd vs Shaheen | 37–37 | 50.00% |
| SeraphEnd vs Zafina | 31–40 | 43.66% |
| SeraphEnd vs Anna | 28–39 | 41.79% |
| SeraphEnd vs Miary Zo | 20–26 | 43.48% |
| SeraphEnd vs Panda | 6–16 | 27.27% |
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.