| DGN | MonsteR vs Hwoarang | 32–20 | 61.54% |
| DGN | MonsteR vs Bryan | 13–9 | 59.09% |
| DGN | MonsteR vs Law | 17–4 | 80.95% |
| DGN | MonsteR vs Jin | 16–5 | 76.19% |
| DGN | MonsteR vs Kazuya | 7–5 | 58.33% |
| DGN | MonsteR vs King | 7–4 | 63.64% |
| DGN | MonsteR vs Lee | 8–3 | 72.73% |
| DGN | MonsteR vs Jun | 7–4 | 63.64% |
| DGN | MonsteR vs Lili | 9–1 | 90.00% |
| DGN | MonsteR vs Dragunov | 5–3 | 62.50% |
| DGN | MonsteR vs Reina | 5–3 | 62.50% |
| DGN | MonsteR vs Paul | 6–1 | 85.71% |
| DGN | MonsteR vs Nina | 5–2 | 71.43% |
| DGN | MonsteR vs Azucena | 4–3 | 57.14% |
| DGN | MonsteR vs Asuka | 1–4 | 20.00% |
| DGN | MonsteR vs Lars | 2–3 | 40.00% |
| DGN | MonsteR vs Yoshimitsu | 4–0 | 100.00% |
| DGN | MonsteR vs Devil Jin | 2–2 | 50.00% |
| DGN | MonsteR vs Leo | 1–2 | 33.33% |
| DGN | MonsteR vs Zafina | 1–2 | 33.33% |
| DGN | MonsteR vs Raven | 2–1 | 66.67% |
| DGN | MonsteR vs Steve | 1–1 | 50.00% |
| DGN | MonsteR vs Jack-8 | 2–0 | 100.00% |
| DGN | MonsteR vs Claudio | 2–0 | 100.00% |
| DGN | MonsteR vs Leroy | 2–0 | 100.00% |
| DGN | MonsteR vs Eddy | 1–1 | 50.00% |
| DGN | MonsteR vs Lidia | 1–1 | 50.00% |
| DGN | MonsteR vs Anna | 0–2 | 0.00% |
| DGN | MonsteR vs Xiaoyu | 1–0 | 100.00% |
| DGN | MonsteR vs Feng | 1–0 | 100.00% |
| DGN | MonsteR vs Alisa | 0–1 | 0.00% |
| DGN | MonsteR vs Victor | 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.