| TLC | Monel vs Victor | 12–3 | 80.00% |
| TLC | Monel vs King | 7–5 | 58.33% |
| TLC | Monel vs Steve | 8–3 | 72.73% |
| TLC | Monel vs Reina | 6–5 | 54.55% |
| TLC | Monel vs Law | 6–4 | 60.00% |
| TLC | Monel vs Lili | 5–4 | 55.56% |
| TLC | Monel vs Armor King | 0–9 | 0.00% |
| TLC | Monel vs Dragunov | 4–4 | 50.00% |
| TLC | Monel vs Lee | 7–1 | 87.50% |
| TLC | Monel vs Fahkumram | 2–6 | 25.00% |
| TLC | Monel vs Lars | 4–3 | 57.14% |
| TLC | Monel vs Jun | 3–4 | 42.86% |
| TLC | Monel vs Jin | 4–2 | 66.67% |
| TLC | Monel vs Bryan | 4–2 | 66.67% |
| TLC | Monel vs Asuka | 1–5 | 16.67% |
| TLC | Monel vs Heihachi | 3–3 | 50.00% |
| TLC | Monel vs Anna | 6–0 | 100.00% |
| TLC | Monel vs Xiaoyu | 1–4 | 20.00% |
| TLC | Monel vs Eddy | 4–1 | 80.00% |
| TLC | Monel vs Leroy | 3–1 | 75.00% |
| TLC | Monel vs Yoshimitsu | 1–2 | 33.33% |
| TLC | Monel vs Hwoarang | 1–2 | 33.33% |
| TLC | Monel vs Kazuya | 1–2 | 33.33% |
| TLC | Monel vs Devil Jin | 2–1 | 66.67% |
| TLC | Monel vs Leo | 3–0 | 100.00% |
| TLC | Monel vs Shaheen | 3–0 | 100.00% |
| TLC | Monel vs Clive | 1–2 | 33.33% |
| TLC | Monel vs Paul | 0–2 | 0.00% |
| TLC | Monel vs Feng | 0–2 | 0.00% |
| TLC | Monel vs Alisa | 2–0 | 100.00% |
| TLC | Monel vs Claudio | 2–0 | 100.00% |
| TLC | Monel vs Nina | 2–0 | 100.00% |
| TLC | Monel vs Jack-8 | 0–1 | 0.00% |
| TLC | Monel vs Azucena | 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.