| N0M3RCY15 vs Reina | 20–21 | 48.78% |
| N0M3RCY15 vs Steve | 7–14 | 33.33% |
| N0M3RCY15 vs Dragunov | 1–16 | 5.88% |
| N0M3RCY15 vs Eddy | 2–12 | 14.29% |
| N0M3RCY15 vs Lidia | 5–9 | 35.71% |
| N0M3RCY15 vs King | 2–10 | 16.67% |
| N0M3RCY15 vs Jin | 1–11 | 8.33% |
| N0M3RCY15 vs Xiaoyu | 4–7 | 36.36% |
| N0M3RCY15 vs Law | 5–4 | 55.56% |
| N0M3RCY15 vs Hwoarang | 3–6 | 33.33% |
| N0M3RCY15 vs Kazuya | 4–5 | 44.44% |
| N0M3RCY15 vs Jack-8 | 1–8 | 11.11% |
| N0M3RCY15 vs Lili | 4–4 | 50.00% |
| N0M3RCY15 vs Victor | 1–7 | 12.50% |
| N0M3RCY15 vs Raven | 3–5 | 37.50% |
| N0M3RCY15 vs Bryan | 2–5 | 28.57% |
| N0M3RCY15 vs Devil Jin | 2–5 | 28.57% |
| N0M3RCY15 vs Paul | 3–3 | 50.00% |
| N0M3RCY15 vs Lars | 2–4 | 33.33% |
| N0M3RCY15 vs Nina | 0–6 | 0.00% |
| N0M3RCY15 vs Heihachi | 0–6 | 0.00% |
| N0M3RCY15 vs Yoshimitsu | 0–5 | 0.00% |
| N0M3RCY15 vs Feng | 3–2 | 60.00% |
| N0M3RCY15 vs Lee | 1–4 | 20.00% |
| N0M3RCY15 vs Clive | 0–5 | 0.00% |
| N0M3RCY15 vs Asuka | 0–4 | 0.00% |
| N0M3RCY15 vs Alisa | 1–3 | 25.00% |
| N0M3RCY15 vs Claudio | 1–3 | 25.00% |
| N0M3RCY15 vs Shaheen | 0–4 | 0.00% |
| N0M3RCY15 vs Leroy | 0–4 | 0.00% |
| N0M3RCY15 vs Jun | 1–3 | 25.00% |
| N0M3RCY15 vs Anna | 1–2 | 33.33% |
| N0M3RCY15 vs Azucena | 1–1 | 50.00% |
| N0M3RCY15 vs Leo | 0–1 | 0.00% |
| N0M3RCY15 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.