| R1ns2 vs King | 21–14 | 60.00% |
| R1ns2 vs Miary Zo | 22–12 | 64.71% |
| R1ns2 vs Bryan | 17–14 | 54.84% |
| R1ns2 vs Kazuya | 19–12 | 61.29% |
| R1ns2 vs Armor King | 13–18 | 41.94% |
| R1ns2 vs Jin | 16–13 | 55.17% |
| R1ns2 vs Asuka | 18–9 | 66.67% |
| R1ns2 vs Paul | 16–10 | 61.54% |
| R1ns2 vs Hwoarang | 12–13 | 48.00% |
| R1ns2 vs Law | 15–9 | 62.50% |
| R1ns2 vs Reina | 5–17 | 22.73% |
| R1ns2 vs Dragunov | 8–12 | 40.00% |
| R1ns2 vs Fahkumram | 13–6 | 68.42% |
| R1ns2 vs Heihachi | 6–11 | 35.29% |
| R1ns2 vs Nina | 12–3 | 80.00% |
| R1ns2 vs Azucena | 8–7 | 53.33% |
| R1ns2 vs Lars | 9–5 | 64.29% |
| R1ns2 vs Victor | 4–10 | 28.57% |
| R1ns2 vs Clive | 9–5 | 64.29% |
| R1ns2 vs Lili | 7–6 | 53.85% |
| R1ns2 vs Jun | 4–7 | 36.36% |
| R1ns2 vs Claudio | 7–3 | 70.00% |
| R1ns2 vs Eddy | 4–6 | 40.00% |
| R1ns2 vs Yoshimitsu | 6–3 | 66.67% |
| R1ns2 vs Steve | 5–4 | 55.56% |
| R1ns2 vs Alisa | 7–2 | 77.78% |
| R1ns2 vs Raven | 8–1 | 88.89% |
| R1ns2 vs Jack-8 | 3–4 | 42.86% |
| R1ns2 vs Feng | 2–5 | 28.57% |
| R1ns2 vs Leo | 3–4 | 42.86% |
| R1ns2 vs Anna | 2–4 | 33.33% |
| R1ns2 vs Panda | 2–3 | 40.00% |
| R1ns2 vs Zafina | 2–3 | 40.00% |
| R1ns2 vs Lidia | 1–4 | 20.00% |
| R1ns2 vs Xiaoyu | 2–2 | 50.00% |
| R1ns2 vs Shaheen | 2–2 | 50.00% |
| R1ns2 vs Lee | 3–1 | 75.00% |
| R1ns2 vs Devil Jin | 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.