| N0M4D vs Steve | 26–36 | 41.94% |
| N0M4D vs Armor King | 17–45 | 27.42% |
| N0M4D vs Reina | 18–25 | 41.86% |
| N0M4D vs Kazuya | 17–21 | 44.74% |
| N0M4D vs Law | 7–28 | 20.00% |
| N0M4D vs Dragunov | 18–16 | 52.94% |
| N0M4D vs Hwoarang | 15–18 | 45.45% |
| N0M4D vs Jin | 15–18 | 45.45% |
| N0M4D vs Yoshimitsu | 14–14 | 50.00% |
| N0M4D vs Heihachi | 10–17 | 37.04% |
| N0M4D vs Paul | 9–16 | 36.00% |
| N0M4D vs King | 11–14 | 44.00% |
| N0M4D vs Bryan | 13–11 | 54.17% |
| N0M4D vs Lili | 8–16 | 33.33% |
| N0M4D vs Anna | 8–15 | 34.78% |
| N0M4D vs Fahkumram | 5–17 | 22.73% |
| N0M4D vs Lee | 12–6 | 66.67% |
| N0M4D vs Devil Jin | 9–8 | 52.94% |
| N0M4D vs Lars | 9–8 | 52.94% |
| N0M4D vs Alisa | 4–12 | 25.00% |
| N0M4D vs Xiaoyu | 5–10 | 33.33% |
| N0M4D vs Victor | 8–7 | 53.33% |
| N0M4D vs Clive | 6–9 | 40.00% |
| N0M4D vs Azucena | 4–10 | 28.57% |
| N0M4D vs Jun | 3–9 | 25.00% |
| N0M4D vs Nina | 5–5 | 50.00% |
| N0M4D vs Claudio | 4–5 | 44.44% |
| N0M4D vs Leroy | 5–3 | 62.50% |
| N0M4D vs Eddy | 1–6 | 14.29% |
| N0M4D vs Jack-8 | 2–4 | 33.33% |
| N0M4D vs Asuka | 3–2 | 60.00% |
| N0M4D vs Shaheen | 2–3 | 40.00% |
| N0M4D vs Raven | 3–2 | 60.00% |
| N0M4D vs Lidia | 1–4 | 20.00% |
| N0M4D vs Panda | 2–2 | 50.00% |
| N0M4D vs Zafina | 2–1 | 66.67% |
| N0M4D vs Feng | 0–2 | 0.00% |
| N0M4D vs Leo | 2–0 | 100.00% |
| N0M4D vs Kuma | 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.