| MACCHERONI_TTV vs King | 9–9 | 50.00% |
| MACCHERONI_TTV vs Law | 8–8 | 50.00% |
| MACCHERONI_TTV vs Bryan | 5–9 | 35.71% |
| MACCHERONI_TTV vs Jin | 9–4 | 69.23% |
| MACCHERONI_TTV vs Dragunov | 7–6 | 53.85% |
| MACCHERONI_TTV vs Kazuya | 5–7 | 41.67% |
| MACCHERONI_TTV vs Steve | 9–3 | 75.00% |
| MACCHERONI_TTV vs Xiaoyu | 5–6 | 45.45% |
| MACCHERONI_TTV vs Jack-8 | 5–6 | 45.45% |
| MACCHERONI_TTV vs Lili | 4–7 | 36.36% |
| MACCHERONI_TTV vs Asuka | 5–4 | 55.56% |
| MACCHERONI_TTV vs Devil Jin | 6–3 | 66.67% |
| MACCHERONI_TTV vs Yoshimitsu | 8–0 | 100.00% |
| MACCHERONI_TTV vs Alisa | 5–3 | 62.50% |
| MACCHERONI_TTV vs Nina | 5–3 | 62.50% |
| MACCHERONI_TTV vs Heihachi | 3–5 | 37.50% |
| MACCHERONI_TTV vs Claudio | 4–3 | 57.14% |
| MACCHERONI_TTV vs Leroy | 4–3 | 57.14% |
| MACCHERONI_TTV vs Jun | 3–4 | 42.86% |
| MACCHERONI_TTV vs Eddy | 1–6 | 14.29% |
| MACCHERONI_TTV vs Leo | 2–4 | 33.33% |
| MACCHERONI_TTV vs Lee | 4–2 | 66.67% |
| MACCHERONI_TTV vs Hwoarang | 2–3 | 40.00% |
| MACCHERONI_TTV vs Lidia | 3–2 | 60.00% |
| MACCHERONI_TTV vs Clive | 4–1 | 80.00% |
| MACCHERONI_TTV vs Paul | 1–2 | 33.33% |
| MACCHERONI_TTV vs Kuma | 2–1 | 66.67% |
| MACCHERONI_TTV vs Victor | 0–3 | 0.00% |
| MACCHERONI_TTV vs Feng | 0–2 | 0.00% |
| MACCHERONI_TTV vs Lars | 0–2 | 0.00% |
| MACCHERONI_TTV vs Shaheen | 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.