| Sawa vs Eddy | 18–26 | 40.91% |
| Sawa vs Jin | 27–14 | 65.85% |
| Sawa vs Lili | 30–10 | 75.00% |
| Sawa vs Yoshimitsu | 18–21 | 46.15% |
| Sawa vs Kazuya | 19–16 | 54.29% |
| Sawa vs Steve | 23–12 | 65.71% |
| Sawa vs Hwoarang | 18–16 | 52.94% |
| Sawa vs Bryan | 20–13 | 60.61% |
| Sawa vs Devil Jin | 19–13 | 59.38% |
| Sawa vs Law | 18–13 | 58.06% |
| Sawa vs King | 14–13 | 51.85% |
| Sawa vs Jun | 14–13 | 51.85% |
| Sawa vs Xiaoyu | 17–9 | 65.38% |
| Sawa vs Reina | 16–10 | 61.54% |
| Sawa vs Paul | 10–14 | 41.67% |
| Sawa vs Azucena | 12–7 | 63.16% |
| Sawa vs Asuka | 11–6 | 64.71% |
| Sawa vs Lars | 6–10 | 37.50% |
| Sawa vs Nina | 9–7 | 56.25% |
| Sawa vs Jack-8 | 9–5 | 64.29% |
| Sawa vs Alisa | 4–9 | 30.77% |
| Sawa vs Lee | 6–7 | 46.15% |
| Sawa vs Dragunov | 8–4 | 66.67% |
| Sawa vs Feng | 5–6 | 45.45% |
| Sawa vs Claudio | 5–6 | 45.45% |
| Sawa vs Zafina | 4–4 | 50.00% |
| Sawa vs Leroy | 5–3 | 62.50% |
| Sawa vs Heihachi | 4–4 | 50.00% |
| Sawa vs Victor | 3–4 | 42.86% |
| Sawa vs Raven | 7–0 | 100.00% |
| Sawa vs Fahkumram | 6–1 | 85.71% |
| Sawa vs Leo | 1–5 | 16.67% |
| Sawa vs Kuma | 1–4 | 20.00% |
| Sawa vs Shaheen | 2–2 | 50.00% |
| Sawa vs Lidia | 4–0 | 100.00% |
| Sawa vs Clive | 3–0 | 100.00% |
| Sawa vs Anna | 1–2 | 33.33% |
| Sawa vs Armor King | 2–1 | 66.67% |
| Sawa vs Panda | 0–1 | 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.