| dU4NcRIS vs King | 20–39 | 33.90% |
| dU4NcRIS vs Jin | 23–32 | 41.82% |
| dU4NcRIS vs Kazuya | 14–23 | 37.84% |
| dU4NcRIS vs Steve | 10–12 | 45.45% |
| dU4NcRIS vs Armor King | 7–14 | 33.33% |
| dU4NcRIS vs Hwoarang | 10–10 | 50.00% |
| dU4NcRIS vs Lili | 5–11 | 31.25% |
| dU4NcRIS vs Reina | 9–7 | 56.25% |
| dU4NcRIS vs Victor | 6–10 | 37.50% |
| dU4NcRIS vs Dragunov | 2–11 | 15.38% |
| dU4NcRIS vs Eddy | 3–9 | 25.00% |
| dU4NcRIS vs Clive | 4–8 | 33.33% |
| dU4NcRIS vs Xiaoyu | 1–10 | 9.09% |
| dU4NcRIS vs Bryan | 5–6 | 45.45% |
| dU4NcRIS vs Azucena | 2–8 | 20.00% |
| dU4NcRIS vs Lidia | 4–6 | 40.00% |
| dU4NcRIS vs Fahkumram | 3–7 | 30.00% |
| dU4NcRIS vs Anna | 5–4 | 55.56% |
| dU4NcRIS vs Asuka | 3–5 | 37.50% |
| dU4NcRIS vs Law | 0–7 | 0.00% |
| dU4NcRIS vs Jack-8 | 2–5 | 28.57% |
| dU4NcRIS vs Panda | 5–2 | 71.43% |
| dU4NcRIS vs Miary Zo | 5–2 | 71.43% |
| dU4NcRIS vs Lars | 3–3 | 50.00% |
| dU4NcRIS vs Nina | 1–5 | 16.67% |
| dU4NcRIS vs Heihachi | 4–2 | 66.67% |
| dU4NcRIS vs Yoshimitsu | 1–4 | 20.00% |
| dU4NcRIS vs Paul | 2–2 | 50.00% |
| dU4NcRIS vs Shaheen | 4–0 | 100.00% |
| dU4NcRIS vs Kuma | 2–2 | 50.00% |
| dU4NcRIS vs Devil Jin | 1–2 | 33.33% |
| dU4NcRIS vs Feng | 0–2 | 0.00% |
| dU4NcRIS vs Claudio | 0–2 | 0.00% |
| dU4NcRIS vs Jun | 2–0 | 100.00% |
| dU4NcRIS vs Alisa | 1–0 | 100.00% |
| dU4NcRIS vs Zafina | 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.