| FakerDiBosco vs Reina | 37–19 | 66.07% |
| FakerDiBosco vs Kazuya | 28–26 | 51.85% |
| FakerDiBosco vs Jin | 21–26 | 44.68% |
| FakerDiBosco vs Dragunov | 23–22 | 51.11% |
| FakerDiBosco vs Bryan | 12–28 | 30.00% |
| FakerDiBosco vs Paul | 22–13 | 62.86% |
| FakerDiBosco vs Hwoarang | 14–20 | 41.18% |
| FakerDiBosco vs Steve | 17–13 | 56.67% |
| FakerDiBosco vs Lee | 15–14 | 51.72% |
| FakerDiBosco vs King | 12–16 | 42.86% |
| FakerDiBosco vs Jun | 13–15 | 46.43% |
| FakerDiBosco vs Eddy | 8–20 | 28.57% |
| FakerDiBosco vs Devil Jin | 12–14 | 46.15% |
| FakerDiBosco vs Lili | 15–5 | 75.00% |
| FakerDiBosco vs Nina | 11–9 | 55.00% |
| FakerDiBosco vs Law | 6–12 | 33.33% |
| FakerDiBosco vs Yoshimitsu | 10–8 | 55.56% |
| FakerDiBosco vs Azucena | 13–5 | 72.22% |
| FakerDiBosco vs Xiaoyu | 12–4 | 75.00% |
| FakerDiBosco vs Feng | 7–7 | 50.00% |
| FakerDiBosco vs Lars | 7–5 | 58.33% |
| FakerDiBosco vs Claudio | 6–4 | 60.00% |
| FakerDiBosco vs Jack-8 | 5–4 | 55.56% |
| FakerDiBosco vs Asuka | 3–6 | 33.33% |
| FakerDiBosco vs Kuma | 4–5 | 44.44% |
| FakerDiBosco vs Alisa | 2–6 | 25.00% |
| FakerDiBosco vs Leroy | 3–5 | 37.50% |
| FakerDiBosco vs Victor | 3–5 | 37.50% |
| FakerDiBosco vs Shaheen | 3–4 | 42.86% |
| FakerDiBosco vs Panda | 1–5 | 16.67% |
| FakerDiBosco vs Lidia | 0–6 | 0.00% |
| FakerDiBosco vs Anna | 2–2 | 50.00% |
| FakerDiBosco vs Raven | 0–3 | 0.00% |
| FakerDiBosco vs Heihachi | 2–1 | 66.67% |
| FakerDiBosco vs Fahkumram | 2–1 | 66.67% |
| FakerDiBosco vs Leo | 1–1 | 50.00% |
| FakerDiBosco vs Clive | 2–0 | 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.