| Michael_farioli vs Fahkumram | 9–16 | 36.00% |
| Michael_farioli vs Jin | 10–9 | 52.63% |
| Michael_farioli vs Hwoarang | 5–12 | 29.41% |
| Michael_farioli vs Paul | 9–6 | 60.00% |
| Michael_farioli vs Heihachi | 5–10 | 33.33% |
| Michael_farioli vs Bryan | 4–10 | 28.57% |
| Michael_farioli vs Kazuya | 7–6 | 53.85% |
| Michael_farioli vs King | 8–4 | 66.67% |
| Michael_farioli vs Steve | 5–5 | 50.00% |
| Michael_farioli vs Anna | 4–5 | 44.44% |
| Michael_farioli vs Law | 3–5 | 37.50% |
| Michael_farioli vs Alisa | 4–4 | 50.00% |
| Michael_farioli vs Yoshimitsu | 7–0 | 100.00% |
| Michael_farioli vs Reina | 2–5 | 28.57% |
| Michael_farioli vs Feng | 5–1 | 83.33% |
| Michael_farioli vs Victor | 4–2 | 66.67% |
| Michael_farioli vs Dragunov | 3–2 | 60.00% |
| Michael_farioli vs Raven | 4–1 | 80.00% |
| Michael_farioli vs Lili | 3–1 | 75.00% |
| Michael_farioli vs Jun | 2–2 | 50.00% |
| Michael_farioli vs Devil Jin | 0–3 | 0.00% |
| Michael_farioli vs Claudio | 2–1 | 66.67% |
| Michael_farioli vs Xiaoyu | 1–1 | 50.00% |
| Michael_farioli vs Jack-8 | 1–1 | 50.00% |
| Michael_farioli vs Nina | 2–0 | 100.00% |
| Michael_farioli vs Kuma | 0–2 | 0.00% |
| Michael_farioli vs Leroy | 0–2 | 0.00% |
| Michael_farioli vs Eddy | 2–0 | 100.00% |
| Michael_farioli vs Lidia | 0–2 | 0.00% |
| Michael_farioli vs Asuka | 1–0 | 100.00% |
| Michael_farioli vs Lee | 1–0 | 100.00% |
| Michael_farioli vs Panda | 1–0 | 100.00% |
| Michael_farioli vs Zafina | 1–0 | 100.00% |
| Michael_farioli vs Azucena | 1–0 | 100.00% |
| Michael_farioli vs Clive | 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.