| FoLganchik vs Jin | 25–20 | 55.56% |
| FoLganchik vs Kazuya | 6–23 | 20.69% |
| FoLganchik vs Law | 11–14 | 44.00% |
| FoLganchik vs Clive | 11–12 | 47.83% |
| FoLganchik vs Hwoarang | 9–13 | 40.91% |
| FoLganchik vs Heihachi | 8–13 | 38.10% |
| FoLganchik vs Lars | 7–13 | 35.00% |
| FoLganchik vs Steve | 12–7 | 63.16% |
| FoLganchik vs King | 11–6 | 64.71% |
| FoLganchik vs Dragunov | 8–9 | 47.06% |
| FoLganchik vs Reina | 11–6 | 64.71% |
| FoLganchik vs Feng | 9–7 | 56.25% |
| FoLganchik vs Lili | 9–7 | 56.25% |
| FoLganchik vs Azucena | 9–7 | 56.25% |
| FoLganchik vs Paul | 3–11 | 21.43% |
| FoLganchik vs Lidia | 5–9 | 35.71% |
| FoLganchik vs Alisa | 6–6 | 50.00% |
| FoLganchik vs Victor | 6–6 | 50.00% |
| FoLganchik vs Eddy | 5–7 | 41.67% |
| FoLganchik vs Xiaoyu | 8–2 | 80.00% |
| FoLganchik vs Asuka | 3–7 | 30.00% |
| FoLganchik vs Claudio | 6–3 | 66.67% |
| FoLganchik vs Lee | 3–5 | 37.50% |
| FoLganchik vs Jun | 5–3 | 62.50% |
| FoLganchik vs Leo | 6–1 | 85.71% |
| FoLganchik vs Fahkumram | 5–2 | 71.43% |
| FoLganchik vs Yoshimitsu | 1–5 | 16.67% |
| FoLganchik vs Bryan | 3–3 | 50.00% |
| FoLganchik vs Nina | 1–4 | 20.00% |
| FoLganchik vs Raven | 1–4 | 20.00% |
| FoLganchik vs Miary Zo | 0–4 | 0.00% |
| FoLganchik vs Jack-8 | 0–3 | 0.00% |
| FoLganchik vs Devil Jin | 3–0 | 100.00% |
| FoLganchik vs Kuma | 2–1 | 66.67% |
| FoLganchik vs Armor King | 1–2 | 33.33% |
| FoLganchik vs Shaheen | 0–2 | 0.00% |
| FoLganchik vs Zafina | 0–2 | 0.00% |
| FoLganchik vs Panda | 0–1 | 0.00% |
| FoLganchik vs Anna | 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.