| CGNSNZDMR vs Kazuya | 49–57 | 46.23% |
| CGNSNZDMR vs King | 36–58 | 38.30% |
| CGNSNZDMR vs Jin | 45–43 | 51.14% |
| CGNSNZDMR vs Paul | 27–43 | 38.57% |
| CGNSNZDMR vs Hwoarang | 42–27 | 60.87% |
| CGNSNZDMR vs Bryan | 33–30 | 52.38% |
| CGNSNZDMR vs Law | 34–27 | 55.74% |
| CGNSNZDMR vs Feng | 25–24 | 51.02% |
| CGNSNZDMR vs Dragunov | 19–29 | 39.58% |
| CGNSNZDMR vs Steve | 19–24 | 44.19% |
| CGNSNZDMR vs Heihachi | 17–24 | 41.46% |
| CGNSNZDMR vs Lili | 22–18 | 55.00% |
| CGNSNZDMR vs Jun | 25–15 | 62.50% |
| CGNSNZDMR vs Nina | 23–15 | 60.53% |
| CGNSNZDMR vs Devil Jin | 15–21 | 41.67% |
| CGNSNZDMR vs Reina | 23–12 | 65.71% |
| CGNSNZDMR vs Xiaoyu | 18–14 | 56.25% |
| CGNSNZDMR vs Azucena | 13–19 | 40.62% |
| CGNSNZDMR vs Yoshimitsu | 14–17 | 45.16% |
| CGNSNZDMR vs Eddy | 15–15 | 50.00% |
| CGNSNZDMR vs Alisa | 12–16 | 42.86% |
| CGNSNZDMR vs Victor | 13–15 | 46.43% |
| CGNSNZDMR vs Asuka | 14–9 | 60.87% |
| CGNSNZDMR vs Lars | 15–7 | 68.18% |
| CGNSNZDMR vs Leroy | 10–9 | 52.63% |
| CGNSNZDMR vs Raven | 7–12 | 36.84% |
| CGNSNZDMR vs Lee | 9–9 | 50.00% |
| CGNSNZDMR vs Lidia | 11–6 | 64.71% |
| CGNSNZDMR vs Jack-8 | 9–7 | 56.25% |
| CGNSNZDMR vs Claudio | 9–7 | 56.25% |
| CGNSNZDMR vs Leo | 5–4 | 55.56% |
| CGNSNZDMR vs Shaheen | 5–4 | 55.56% |
| CGNSNZDMR vs Zafina | 5–3 | 62.50% |
| CGNSNZDMR vs Clive | 3–5 | 37.50% |
| CGNSNZDMR vs Anna | 3–4 | 42.86% |
| CGNSNZDMR vs Kuma | 2–4 | 33.33% |
| CGNSNZDMR vs Fahkumram | 3–1 | 75.00% |
| CGNSNZDMR vs Panda | 2–0 | 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.