| Straythx vs Armor King | 23–35 | 39.66% |
| Straythx vs Law | 25–28 | 47.17% |
| Straythx vs King | 19–30 | 38.78% |
| Straythx vs Kazuya | 16–22 | 42.11% |
| Straythx vs Steve | 17–21 | 44.74% |
| Straythx vs Heihachi | 19–15 | 55.88% |
| Straythx vs Jin | 17–16 | 51.52% |
| Straythx vs Hwoarang | 17–13 | 56.67% |
| Straythx vs Jun | 14–14 | 50.00% |
| Straythx vs Fahkumram | 10–16 | 38.46% |
| Straythx vs Yoshimitsu | 10–14 | 41.67% |
| Straythx vs Reina | 10–14 | 41.67% |
| Straythx vs Asuka | 7–16 | 30.43% |
| Straythx vs Clive | 10–11 | 47.62% |
| Straythx vs Lars | 8–11 | 42.11% |
| Straythx vs Lili | 5–13 | 27.78% |
| Straythx vs Nina | 12–6 | 66.67% |
| Straythx vs Dragunov | 7–10 | 41.18% |
| Straythx vs Azucena | 10–7 | 58.82% |
| Straythx vs Lee | 4–11 | 26.67% |
| Straythx vs Lidia | 5–10 | 33.33% |
| Straythx vs Bryan | 5–9 | 35.71% |
| Straythx vs Leroy | 6–8 | 42.86% |
| Straythx vs Eddy | 0–13 | 0.00% |
| Straythx vs Devil Jin | 5–6 | 45.45% |
| Straythx vs Victor | 3–8 | 27.27% |
| Straythx vs Claudio | 2–8 | 20.00% |
| Straythx vs Paul | 5–4 | 55.56% |
| Straythx vs Zafina | 3–6 | 33.33% |
| Straythx vs Raven | 4–5 | 44.44% |
| Straythx vs Anna | 3–6 | 33.33% |
| Straythx vs Alisa | 4–4 | 50.00% |
| Straythx vs Xiaoyu | 3–4 | 42.86% |
| Straythx vs Leo | 1–6 | 14.29% |
| Straythx vs Kuma | 2–5 | 28.57% |
| Straythx vs Feng | 1–4 | 20.00% |
| Straythx vs Jack-8 | 1–2 | 33.33% |
| Straythx vs Shaheen | 0–2 | 0.00% |
| Straythx vs Panda | 1–0 | 100.00% |
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.