| Songohan3303 vs Steve | 12–17 | 41.38% |
| Songohan3303 vs Jin | 7–21 | 25.00% |
| Songohan3303 vs Hwoarang | 8–14 | 36.36% |
| Songohan3303 vs Armor King | 5–17 | 22.73% |
| Songohan3303 vs Law | 7–14 | 33.33% |
| Songohan3303 vs King | 8–13 | 38.10% |
| Songohan3303 vs Reina | 9–12 | 42.86% |
| Songohan3303 vs Victor | 7–13 | 35.00% |
| Songohan3303 vs Fahkumram | 9–8 | 52.94% |
| Songohan3303 vs Azucena | 11–5 | 68.75% |
| Songohan3303 vs Lili | 4–11 | 26.67% |
| Songohan3303 vs Yoshimitsu | 7–7 | 50.00% |
| Songohan3303 vs Jun | 4–10 | 28.57% |
| Songohan3303 vs Miary Zo | 8–4 | 66.67% |
| Songohan3303 vs Eddy | 2–9 | 18.18% |
| Songohan3303 vs Heihachi | 3–8 | 27.27% |
| Songohan3303 vs Kazuya | 5–5 | 50.00% |
| Songohan3303 vs Asuka | 3–7 | 30.00% |
| Songohan3303 vs Xiaoyu | 4–5 | 44.44% |
| Songohan3303 vs Bryan | 3–6 | 33.33% |
| Songohan3303 vs Lee | 2–7 | 22.22% |
| Songohan3303 vs Feng | 2–6 | 25.00% |
| Songohan3303 vs Dragunov | 2–5 | 28.57% |
| Songohan3303 vs Alisa | 2–4 | 33.33% |
| Songohan3303 vs Devil Jin | 2–3 | 40.00% |
| Songohan3303 vs Raven | 3–2 | 60.00% |
| Songohan3303 vs Paul | 1–3 | 25.00% |
| Songohan3303 vs Kuma | 0–4 | 0.00% |
| Songohan3303 vs Lars | 1–2 | 33.33% |
| Songohan3303 vs Claudio | 1–2 | 33.33% |
| Songohan3303 vs Shaheen | 1–2 | 33.33% |
| Songohan3303 vs Nina | 0–3 | 0.00% |
| Songohan3303 vs Panda | 1–2 | 33.33% |
| Songohan3303 vs Zafina | 0–2 | 0.00% |
| Songohan3303 vs Leroy | 2–0 | 100.00% |
| Songohan3303 vs Lidia | 1–1 | 50.00% |
| Songohan3303 vs Anna | 0–2 | 0.00% |
| Songohan3303 vs Jack-8 | 0–1 | 0.00% |
| Songohan3303 vs Clive | 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.