| M00N vs King | 41–23 | 64.06% |
| M00N vs Lidia | 29–26 | 52.73% |
| M00N vs Steve | 24–18 | 57.14% |
| M00N vs Jin | 23–16 | 58.97% |
| M00N vs Kazuya | 25–11 | 69.44% |
| M00N vs Reina | 17–17 | 50.00% |
| M00N vs Azucena | 16–12 | 57.14% |
| M00N vs Lars | 14–13 | 51.85% |
| M00N vs Law | 12–14 | 46.15% |
| M00N vs Dragunov | 14–11 | 56.00% |
| M00N vs Bryan | 12–11 | 52.17% |
| M00N vs Eddy | 15–6 | 71.43% |
| M00N vs Yoshimitsu | 11–9 | 55.00% |
| M00N vs Hwoarang | 11–8 | 57.89% |
| M00N vs Asuka | 10–9 | 52.63% |
| M00N vs Lili | 9–7 | 56.25% |
| M00N vs Nina | 10–3 | 76.92% |
| M00N vs Jun | 8–5 | 61.54% |
| M00N vs Paul | 5–7 | 41.67% |
| M00N vs Zafina | 5–7 | 41.67% |
| M00N vs Victor | 4–6 | 40.00% |
| M00N vs Xiaoyu | 7–2 | 77.78% |
| M00N vs Leo | 3–6 | 33.33% |
| M00N vs Alisa | 4–5 | 44.44% |
| M00N vs Leroy | 6–3 | 66.67% |
| M00N vs Jack-8 | 5–3 | 62.50% |
| M00N vs Feng | 5–3 | 62.50% |
| M00N vs Kuma | 2–5 | 28.57% |
| M00N vs Raven | 2–4 | 33.33% |
| M00N vs Lee | 4–1 | 80.00% |
| M00N vs Heihachi | 4–1 | 80.00% |
| M00N vs Devil Jin | 0–3 | 0.00% |
| M00N vs Panda | 1–2 | 33.33% |
| M00N vs Clive | 0–3 | 0.00% |
| M00N vs Armor King | 0–3 | 0.00% |
| M00N vs Shaheen | 2–0 | 100.00% |
| M00N vs Anna | 0–2 | 0.00% |
| M00N vs Claudio | 1–0 | 100.00% |
| M00N vs Fahkumram | 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.