| Sow1k4ert vs Jin | 36–34 | 51.43% |
| Sow1k4ert vs Kazuya | 31–30 | 50.82% |
| Sow1k4ert vs Bryan | 25–30 | 45.45% |
| Sow1k4ert vs Dragunov | 13–35 | 27.08% |
| Sow1k4ert vs Jun | 28–17 | 62.22% |
| Sow1k4ert vs Armor King | 10–35 | 22.22% |
| Sow1k4ert vs King | 27–17 | 61.36% |
| Sow1k4ert vs Hwoarang | 27–17 | 61.36% |
| Sow1k4ert vs Steve | 25–19 | 56.82% |
| Sow1k4ert vs Heihachi | 16–27 | 37.21% |
| Sow1k4ert vs Law | 24–15 | 61.54% |
| Sow1k4ert vs Reina | 14–25 | 35.90% |
| Sow1k4ert vs Paul | 10–18 | 35.71% |
| Sow1k4ert vs Yoshimitsu | 11–17 | 39.29% |
| Sow1k4ert vs Asuka | 15–8 | 65.22% |
| Sow1k4ert vs Fahkumram | 11–11 | 50.00% |
| Sow1k4ert vs Lili | 10–11 | 47.62% |
| Sow1k4ert vs Eddy | 14–5 | 73.68% |
| Sow1k4ert vs Anna | 7–12 | 36.84% |
| Sow1k4ert vs Lars | 7–11 | 38.89% |
| Sow1k4ert vs Azucena | 6–12 | 33.33% |
| Sow1k4ert vs Lee | 8–9 | 47.06% |
| Sow1k4ert vs Nina | 8–8 | 50.00% |
| Sow1k4ert vs Leo | 8–6 | 57.14% |
| Sow1k4ert vs Alisa | 4–10 | 28.57% |
| Sow1k4ert vs Devil Jin | 3–10 | 23.08% |
| Sow1k4ert vs Raven | 6–7 | 46.15% |
| Sow1k4ert vs Miary Zo | 1–12 | 7.69% |
| Sow1k4ert vs Xiaoyu | 5–7 | 41.67% |
| Sow1k4ert vs Victor | 2–10 | 16.67% |
| Sow1k4ert vs Feng | 3–6 | 33.33% |
| Sow1k4ert vs Lidia | 2–5 | 28.57% |
| Sow1k4ert vs Jack-8 | 4–2 | 66.67% |
| Sow1k4ert vs Claudio | 1–5 | 16.67% |
| Sow1k4ert vs Panda | 1–4 | 20.00% |
| Sow1k4ert vs Clive | 2–3 | 40.00% |
| Sow1k4ert vs Zafina | 1–3 | 25.00% |
| Sow1k4ert vs Shaheen | 0–2 | 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.