| SaikyouLars vs Yoshimitsu | 15–11 | 57.69% |
| SaikyouLars vs Hwoarang | 12–13 | 48.00% |
| SaikyouLars vs Reina | 12–9 | 57.14% |
| SaikyouLars vs Jin | 12–7 | 63.16% |
| SaikyouLars vs Kazuya | 12–7 | 63.16% |
| SaikyouLars vs Eddy | 13–4 | 76.47% |
| SaikyouLars vs Paul | 4–9 | 30.77% |
| SaikyouLars vs Devil Jin | 7–6 | 53.85% |
| SaikyouLars vs Lili | 10–3 | 76.92% |
| SaikyouLars vs Xiaoyu | 10–2 | 83.33% |
| SaikyouLars vs Bryan | 6–6 | 50.00% |
| SaikyouLars vs Steve | 9–3 | 75.00% |
| SaikyouLars vs Feng | 7–5 | 58.33% |
| SaikyouLars vs Lars | 10–2 | 83.33% |
| SaikyouLars vs King | 7–4 | 63.64% |
| SaikyouLars vs Leo | 10–1 | 90.91% |
| SaikyouLars vs Law | 7–3 | 70.00% |
| SaikyouLars vs Alisa | 7–3 | 70.00% |
| SaikyouLars vs Jun | 7–3 | 70.00% |
| SaikyouLars vs Dragunov | 7–2 | 77.78% |
| SaikyouLars vs Lee | 7–2 | 77.78% |
| SaikyouLars vs Victor | 5–4 | 55.56% |
| SaikyouLars vs Claudio | 8–0 | 100.00% |
| SaikyouLars vs Asuka | 4–3 | 57.14% |
| SaikyouLars vs Leroy | 5–2 | 71.43% |
| SaikyouLars vs Kuma | 5–1 | 83.33% |
| SaikyouLars vs Azucena | 4–2 | 66.67% |
| SaikyouLars vs Jack-8 | 3–1 | 75.00% |
| SaikyouLars vs Nina | 1–2 | 33.33% |
| SaikyouLars vs Raven | 2–1 | 66.67% |
| SaikyouLars vs Heihachi | 2–0 | 100.00% |
| SaikyouLars vs Panda | 0–1 | 0.00% |
| SaikyouLars vs Lidia | 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.