| No_0ne vs Kazuya | 145–162 | 47.23% |
| No_0ne vs King | 128–117 | 52.24% |
| No_0ne vs Heihachi | 104–117 | 47.06% |
| No_0ne vs Bryan | 96–112 | 46.15% |
| No_0ne vs Reina | 99–92 | 51.83% |
| No_0ne vs Jin | 89–101 | 46.84% |
| No_0ne vs Paul | 64–69 | 48.12% |
| No_0ne vs Steve | 51–71 | 41.80% |
| No_0ne vs Lee | 49–68 | 41.88% |
| No_0ne vs Dragunov | 55–59 | 48.25% |
| No_0ne vs Hwoarang | 48–63 | 43.24% |
| No_0ne vs Law | 38–72 | 34.55% |
| No_0ne vs Yoshimitsu | 48–37–3 | 56.47% |
| No_0ne vs Lili | 35–50 | 41.18% |
| No_0ne vs Clive | 35–50 | 41.18% |
| No_0ne vs Azucena | 36–48 | 42.86% |
| No_0ne vs Devil Jin | 31–47 | 39.74% |
| No_0ne vs Fahkumram | 28–41 | 40.58% |
| No_0ne vs Jack-8 | 34–34 | 50.00% |
| No_0ne vs Armor King | 35–33 | 51.47% |
| No_0ne vs Feng | 34–32 | 51.52% |
| No_0ne vs Nina | 23–38 | 37.70% |
| No_0ne vs Raven | 26–34 | 43.33% |
| No_0ne vs Lars | 35–24 | 59.32% |
| No_0ne vs Alisa | 21–36 | 36.84% |
| No_0ne vs Asuka | 19–37 | 33.93% |
| No_0ne vs Jun | 31–21 | 59.62% |
| No_0ne vs Leroy | 11–39 | 22.00% |
| No_0ne vs Leo | 28–20 | 58.33% |
| No_0ne vs Lidia | 17–30 | 36.17% |
| No_0ne vs Eddy | 22–23 | 48.89% |
| No_0ne vs Victor | 21–20 | 51.22% |
| No_0ne vs Xiaoyu | 12–28 | 30.00% |
| No_0ne vs Claudio | 8–25 | 24.24% |
| No_0ne vs Kuma | 13–19 | 40.62% |
| No_0ne vs Anna | 18–14 | 56.25% |
| No_0ne vs Zafina | 15–11 | 57.69% |
| No_0ne vs Shaheen | 7–18 | 28.00% |
| No_0ne vs Miary Zo | 6–6 | 50.00% |
| No_0ne vs Panda | 2–2 | 50.00% |
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.