| NineArts vs King | 51–55 | 48.11% |
| NineArts vs Jin | 65–36 | 64.36% |
| NineArts vs Bryan | 48–47 | 50.53% |
| NineArts vs Reina | 44–41 | 51.76% |
| NineArts vs Kazuya | 43–33 | 56.58% |
| NineArts vs Dragunov | 38–36 | 51.35% |
| NineArts vs Steve | 19–41 | 31.67% |
| NineArts vs Yoshimitsu | 27–31 | 46.55% |
| NineArts vs Hwoarang | 26–26 | 50.00% |
| NineArts vs Law | 18–32 | 36.00% |
| NineArts vs Azucena | 20–25 | 44.44% |
| NineArts vs Paul | 18–23 | 43.90% |
| NineArts vs Lili | 16–23 | 41.03% |
| NineArts vs Heihachi | 23–12 | 65.71% |
| NineArts vs Eddy | 9–24 | 27.27% |
| NineArts vs Lars | 20–12 | 62.50% |
| NineArts vs Nina | 13–16 | 44.83% |
| NineArts vs Lee | 12–16 | 42.86% |
| NineArts vs Asuka | 16–11 | 59.26% |
| NineArts vs Lidia | 13–13 | 50.00% |
| NineArts vs Clive | 10–16 | 38.46% |
| NineArts vs Raven | 11–14 | 44.00% |
| NineArts vs Xiaoyu | 8–15 | 34.78% |
| NineArts vs Claudio | 11–12 | 47.83% |
| NineArts vs Victor | 7–15 | 31.82% |
| NineArts vs Fahkumram | 14–8 | 63.64% |
| NineArts vs Devil Jin | 7–14 | 33.33% |
| NineArts vs Jack-8 | 8–12 | 40.00% |
| NineArts vs Jun | 9–11 | 45.00% |
| NineArts vs Anna | 12–6 | 66.67% |
| NineArts vs Alisa | 8–9 | 47.06% |
| NineArts vs Feng | 9–7 | 56.25% |
| NineArts vs Leo | 7–9 | 43.75% |
| NineArts vs Shaheen | 5–8 | 38.46% |
| NineArts vs Leroy | 6–7 | 46.15% |
| NineArts vs Zafina | 6–5 | 54.55% |
| NineArts vs Armor King | 7–3 | 70.00% |
| NineArts vs Kuma | 0–8 | 0.00% |
| NineArts vs Panda | 4–3 | 57.14% |
| NineArts vs Miary Zo | 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.