| semp1ternal vs Kazuya | 76–92 | 45.24% |
| semp1ternal vs Jin | 74–69 | 51.75% |
| semp1ternal vs Dragunov | 52–60 | 46.43% |
| semp1ternal vs Bryan | 53–57 | 48.18% |
| semp1ternal vs Reina | 55–52 | 51.40% |
| semp1ternal vs King | 51–40 | 56.04% |
| semp1ternal vs Victor | 33–33 | 50.00% |
| semp1ternal vs Steve | 29–34 | 46.03% |
| semp1ternal vs Hwoarang | 32–26 | 55.17% |
| semp1ternal vs Paul | 19–34 | 35.85% |
| semp1ternal vs Heihachi | 26–27 | 49.06% |
| semp1ternal vs Lili | 24–27 | 47.06% |
| semp1ternal vs Azucena | 23–25 | 47.92% |
| semp1ternal vs Yoshimitsu | 20–21 | 48.78% |
| semp1ternal vs Devil Jin | 17–24 | 41.46% |
| semp1ternal vs Jun | 17–22 | 43.59% |
| semp1ternal vs Law | 19–19 | 50.00% |
| semp1ternal vs Lee | 19–19 | 50.00% |
| semp1ternal vs Alisa | 14–19 | 42.42% |
| semp1ternal vs Lars | 12–19 | 38.71% |
| semp1ternal vs Asuka | 17–13 | 56.67% |
| semp1ternal vs Claudio | 10–20 | 33.33% |
| semp1ternal vs Feng | 10–16 | 38.46% |
| semp1ternal vs Clive | 9–15 | 37.50% |
| semp1ternal vs Kuma | 10–11 | 47.62% |
| semp1ternal vs Leo | 10–10 | 50.00% |
| semp1ternal vs Eddy | 5–14 | 26.32% |
| semp1ternal vs Xiaoyu | 12–6 | 66.67% |
| semp1ternal vs Nina | 8–9 | 47.06% |
| semp1ternal vs Lidia | 10–7 | 58.82% |
| semp1ternal vs Leroy | 3–11 | 21.43% |
| semp1ternal vs Raven | 6–7 | 46.15% |
| semp1ternal vs Shaheen | 6–5 | 54.55% |
| semp1ternal vs Jack-8 | 2–5 | 28.57% |
| semp1ternal vs Panda | 2–2 | 50.00% |
| semp1ternal vs Zafina | 0–3 | 0.00% |
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.