| TackoMoncher vs Jin | 21–21 | 50.00% |
| TackoMoncher vs King | 11–25 | 30.56% |
| TackoMoncher vs Kazuya | 13–21 | 38.24% |
| TackoMoncher vs Reina | 21–11 | 65.62% |
| TackoMoncher vs Bryan | 6–18 | 25.00% |
| TackoMoncher vs Law | 14–9 | 60.87% |
| TackoMoncher vs Lili | 10–12 | 45.45% |
| TackoMoncher vs Hwoarang | 9–12 | 42.86% |
| TackoMoncher vs Dragunov | 3–15 | 16.67% |
| TackoMoncher vs Lee | 9–8 | 52.94% |
| TackoMoncher vs Jun | 6–11 | 35.29% |
| TackoMoncher vs Nina | 9–7 | 56.25% |
| TackoMoncher vs Leroy | 9–7 | 56.25% |
| TackoMoncher vs Victor | 10–6 | 62.50% |
| TackoMoncher vs Lidia | 5–11 | 31.25% |
| TackoMoncher vs Steve | 5–10 | 33.33% |
| TackoMoncher vs Lars | 7–7 | 50.00% |
| TackoMoncher vs Leo | 7–6 | 53.85% |
| TackoMoncher vs Asuka | 6–6 | 50.00% |
| TackoMoncher vs Azucena | 2–10 | 16.67% |
| TackoMoncher vs Yoshimitsu | 5–6 | 45.45% |
| TackoMoncher vs Kuma | 2–7 | 22.22% |
| TackoMoncher vs Zafina | 6–3 | 66.67% |
| TackoMoncher vs Eddy | 3–6 | 33.33% |
| TackoMoncher vs Paul | 2–6 | 25.00% |
| TackoMoncher vs Xiaoyu | 3–5 | 37.50% |
| TackoMoncher vs Devil Jin | 4–3 | 57.14% |
| TackoMoncher vs Raven | 3–4 | 42.86% |
| TackoMoncher vs Alisa | 4–2 | 66.67% |
| TackoMoncher vs Claudio | 3–2 | 60.00% |
| TackoMoncher vs Feng | 0–3 | 0.00% |
| TackoMoncher vs Jack-8 | 0–2 | 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.