| XPI Sigma vs King | 23–12 | 65.71% |
| XPI Sigma vs Heihachi | 19–16 | 54.29% |
| XPI Sigma vs Jin | 16–17 | 48.48% |
| XPI Sigma vs Reina | 10–19 | 34.48% |
| XPI Sigma vs Kazuya | 15–12 | 55.56% |
| XPI Sigma vs Asuka | 10–6 | 62.50% |
| XPI Sigma vs Paul | 6–9 | 40.00% |
| XPI Sigma vs Hwoarang | 6–6 | 50.00% |
| XPI Sigma vs Bryan | 4–8 | 33.33% |
| XPI Sigma vs Lili | 6–6 | 50.00% |
| XPI Sigma vs Jun | 5–7 | 41.67% |
| XPI Sigma vs Armor King | 2–10 | 16.67% |
| XPI Sigma vs Dragunov | 5–6 | 45.45% |
| XPI Sigma vs Lee | 7–4 | 63.64% |
| XPI Sigma vs Clive | 7–4 | 63.64% |
| XPI Sigma vs Eddy | 6–4 | 60.00% |
| XPI Sigma vs Law | 3–6 | 33.33% |
| XPI Sigma vs Lidia | 3–6 | 33.33% |
| XPI Sigma vs Jack-8 | 4–4 | 50.00% |
| XPI Sigma vs Leo | 4–4 | 50.00% |
| XPI Sigma vs Nina | 4–3 | 57.14% |
| XPI Sigma vs Devil Jin | 3–3 | 50.00% |
| XPI Sigma vs Victor | 4–2 | 66.67% |
| XPI Sigma vs Raven | 2–4 | 33.33% |
| XPI Sigma vs Yoshimitsu | 1–4 | 20.00% |
| XPI Sigma vs Steve | 3–2 | 60.00% |
| XPI Sigma vs Feng | 2–3 | 40.00% |
| XPI Sigma vs Azucena | 0–4 | 0.00% |
| XPI Sigma vs Lars | 2–1 | 66.67% |
| XPI Sigma vs Anna | 1–2 | 33.33% |
| XPI Sigma vs Xiaoyu | 2–0 | 100.00% |
| XPI Sigma vs Alisa | 2–0 | 100.00% |
| XPI Sigma vs Claudio | 2–0 | 100.00% |
| XPI Sigma vs Leroy | 2–0 | 100.00% |
| XPI Sigma vs Fahkumram | 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.