| Fakekas vs Jin | 18–29 | 38.30% |
| Fakekas vs Kazuya | 22–19 | 53.66% |
| Fakekas vs Reina | 21–19 | 52.50% |
| Fakekas vs Hwoarang | 15–24 | 38.46% |
| Fakekas vs Steve | 17–21 | 44.74% |
| Fakekas vs Lili | 7–23 | 23.33% |
| Fakekas vs Dragunov | 13–16 | 44.83% |
| Fakekas vs Nina | 11–15 | 42.31% |
| Fakekas vs Victor | 10–15 | 40.00% |
| Fakekas vs King | 11–13 | 45.83% |
| Fakekas vs Jun | 9–15 | 37.50% |
| Fakekas vs Clive | 8–16 | 33.33% |
| Fakekas vs Lidia | 10–13 | 43.48% |
| Fakekas vs Eddy | 9–11 | 45.00% |
| Fakekas vs Law | 4–15 | 21.05% |
| Fakekas vs Azucena | 10–6 | 62.50% |
| Fakekas vs Bryan | 4–9 | 30.77% |
| Fakekas vs Asuka | 8–5 | 61.54% |
| Fakekas vs Paul | 4–7 | 36.36% |
| Fakekas vs Xiaoyu | 5–6 | 45.45% |
| Fakekas vs Heihachi | 7–2 | 77.78% |
| Fakekas vs Armor King | 5–4 | 55.56% |
| Fakekas vs Miary Zo | 6–2 | 75.00% |
| Fakekas vs Yoshimitsu | 1–6 | 14.29% |
| Fakekas vs Devil Jin | 1–6 | 14.29% |
| Fakekas vs Lee | 2–4 | 33.33% |
| Fakekas vs Feng | 0–5 | 0.00% |
| Fakekas vs Claudio | 4–1 | 80.00% |
| Fakekas vs Leroy | 1–4 | 20.00% |
| Fakekas vs Alisa | 1–3 | 25.00% |
| Fakekas vs Kuma | 2–2 | 50.00% |
| Fakekas vs Raven | 2–2 | 50.00% |
| Fakekas vs Leo | 1–2 | 33.33% |
| Fakekas vs Lars | 1–1 | 50.00% |
| Fakekas vs Anna | 0–2 | 0.00% |
| Fakekas vs Shaheen | 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.