| Ncc_Vanilla vs Heihachi | 42–41 | 50.60% |
| Ncc_Vanilla vs Kazuya | 13–11 | 54.17% |
| Ncc_Vanilla vs Paul | 12–11 | 52.17% |
| Ncc_Vanilla vs Dragunov | 13–7 | 65.00% |
| Ncc_Vanilla vs Reina | 9–11 | 45.00% |
| Ncc_Vanilla vs Jin | 6–8 | 42.86% |
| Ncc_Vanilla vs King | 9–3 | 75.00% |
| Ncc_Vanilla vs Lili | 8–4 | 66.67% |
| Ncc_Vanilla vs Claudio | 3–6 | 33.33% |
| Ncc_Vanilla vs Victor | 8–1 | 88.89% |
| Ncc_Vanilla vs Yoshimitsu | 5–3 | 62.50% |
| Ncc_Vanilla vs Jack-8 | 5–3 | 62.50% |
| Ncc_Vanilla vs Bryan | 1–6 | 14.29% |
| Ncc_Vanilla vs Steve | 4–3 | 57.14% |
| Ncc_Vanilla vs Devil Jin | 3–4 | 42.86% |
| Ncc_Vanilla vs Alisa | 3–4 | 42.86% |
| Ncc_Vanilla vs Azucena | 3–4 | 42.86% |
| Ncc_Vanilla vs Law | 4–2 | 66.67% |
| Ncc_Vanilla vs Feng | 2–4 | 33.33% |
| Ncc_Vanilla vs Lars | 6–0 | 100.00% |
| Ncc_Vanilla vs Nina | 4–2 | 66.67% |
| Ncc_Vanilla vs Eddy | 5–1 | 83.33% |
| Ncc_Vanilla vs Xiaoyu | 2–3 | 40.00% |
| Ncc_Vanilla vs Kuma | 5–0 | 100.00% |
| Ncc_Vanilla vs Jun | 1–4 | 20.00% |
| Ncc_Vanilla vs Hwoarang | 1–3 | 25.00% |
| Ncc_Vanilla vs Asuka | 2–2 | 50.00% |
| Ncc_Vanilla vs Raven | 3–1 | 75.00% |
| Ncc_Vanilla vs Lidia | 1–3 | 25.00% |
| Ncc_Vanilla vs Leo | 2–1 | 66.67% |
| Ncc_Vanilla vs Leroy | 2–1 | 66.67% |
| Ncc_Vanilla vs Lee | 1–1 | 50.00% |
| Ncc_Vanilla vs Shaheen | 1–0 | 100.00% |
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.