| PLS's ganabi vs Yoshimitsu | 12–7 | 63.16% |
| PLS's ganabi vs Law | 7–10 | 41.18% |
| PLS's ganabi vs King | 10–7 | 58.82% |
| PLS's ganabi vs Jin | 11–3 | 78.57% |
| PLS's ganabi vs Jun | 7–7 | 50.00% |
| PLS's ganabi vs Hwoarang | 9–3 | 75.00% |
| PLS's ganabi vs Alisa | 10–1 | 90.91% |
| PLS's ganabi vs Victor | 4–7 | 36.36% |
| PLS's ganabi vs Lili | 7–3 | 70.00% |
| PLS's ganabi vs Nina | 3–6 | 33.33% |
| PLS's ganabi vs Reina | 6–3 | 66.67% |
| PLS's ganabi vs Dragunov | 4–3 | 57.14% |
| PLS's ganabi vs Lars | 2–5 | 28.57% |
| PLS's ganabi vs Leroy | 3–4 | 42.86% |
| PLS's ganabi vs Azucena | 3–4 | 42.86% |
| PLS's ganabi vs Steve | 3–3 | 50.00% |
| PLS's ganabi vs Eddy | 2–3 | 40.00% |
| PLS's ganabi vs Clive | 3–1 | 75.00% |
| PLS's ganabi vs Paul | 0–3 | 0.00% |
| PLS's ganabi vs Jack-8 | 2–1 | 66.67% |
| PLS's ganabi vs Lee | 1–2 | 33.33% |
| PLS's ganabi vs Armor King | 2–1 | 66.67% |
| PLS's ganabi vs Miary Zo | 1–2 | 33.33% |
| PLS's ganabi vs Kazuya | 0–2 | 0.00% |
| PLS's ganabi vs Devil Jin | 1–1 | 50.00% |
| PLS's ganabi vs Feng | 2–0 | 100.00% |
| PLS's ganabi vs Panda | 2–0 | 100.00% |
| PLS's ganabi vs Heihachi | 0–2 | 0.00% |
| PLS's ganabi vs Fahkumram | 1–1 | 50.00% |
| PLS's ganabi vs Xiaoyu | 0–1 | 0.00% |
| PLS's ganabi vs Asuka | 0–1 | 0.00% |
| PLS's ganabi vs Claudio | 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.