| SQEECM4TFPS vs Law | 22–27 | 44.90% |
| SQEECM4TFPS vs Jin | 14–22 | 38.89% |
| SQEECM4TFPS vs Fahkumram | 12–16 | 42.86% |
| SQEECM4TFPS vs Kazuya | 10–17 | 37.04% |
| SQEECM4TFPS vs Clive | 12–14 | 46.15% |
| SQEECM4TFPS vs King | 9–16 | 36.00% |
| SQEECM4TFPS vs Dragunov | 9–14 | 39.13% |
| SQEECM4TFPS vs Reina | 11–11 | 50.00% |
| SQEECM4TFPS vs Steve | 6–15 | 28.57% |
| SQEECM4TFPS vs Jun | 9–12 | 42.86% |
| SQEECM4TFPS vs Lili | 3–14 | 17.65% |
| SQEECM4TFPS vs Nina | 8–8 | 50.00% |
| SQEECM4TFPS vs Hwoarang | 4–11 | 26.67% |
| SQEECM4TFPS vs Bryan | 4–10 | 28.57% |
| SQEECM4TFPS vs Heihachi | 2–12 | 14.29% |
| SQEECM4TFPS vs Devil Jin | 4–9 | 30.77% |
| SQEECM4TFPS vs Yoshimitsu | 3–7 | 30.00% |
| SQEECM4TFPS vs Xiaoyu | 3–5 | 37.50% |
| SQEECM4TFPS vs Victor | 3–5 | 37.50% |
| SQEECM4TFPS vs Feng | 4–3 | 57.14% |
| SQEECM4TFPS vs Asuka | 1–5 | 16.67% |
| SQEECM4TFPS vs Claudio | 3–3 | 50.00% |
| SQEECM4TFPS vs Kuma | 3–3 | 50.00% |
| SQEECM4TFPS vs Leroy | 3–3 | 50.00% |
| SQEECM4TFPS vs Raven | 3–3 | 50.00% |
| SQEECM4TFPS vs Paul | 3–2 | 60.00% |
| SQEECM4TFPS vs Lars | 2–3 | 40.00% |
| SQEECM4TFPS vs Azucena | 0–5 | 0.00% |
| SQEECM4TFPS vs Anna | 2–3 | 40.00% |
| SQEECM4TFPS vs Jack-8 | 0–4 | 0.00% |
| SQEECM4TFPS vs Zafina | 1–3 | 25.00% |
| SQEECM4TFPS vs Eddy | 0–4 | 0.00% |
| SQEECM4TFPS vs Panda | 2–1 | 66.67% |
| SQEECM4TFPS vs Armor King | 2–1 | 66.67% |
| SQEECM4TFPS vs Miary Zo | 2–1 | 66.67% |
| SQEECM4TFPS vs Leo | 0–2 | 0.00% |
| SQEECM4TFPS vs Shaheen | 0–1 | 0.00% |
| SQEECM4TFPS vs Lee | 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.