| One-Two vs Kazuya | 230–162–1 | 58.67% |
| One-Two vs Jin | 212–162 | 56.68% |
| One-Two vs Bryan | 165–155 | 51.56% |
| One-Two vs Reina | 107–120 | 47.14% |
| One-Two vs Heihachi | 107–117 | 47.77% |
| One-Two vs Paul | 110–96 | 53.40% |
| One-Two vs Hwoarang | 113–86 | 56.78% |
| One-Two vs Dragunov | 92–100 | 47.92% |
| One-Two vs Lidia | 90–94 | 48.91% |
| One-Two vs King | 105–78 | 57.38% |
| One-Two vs Law | 89–71 | 55.62% |
| One-Two vs Devil Jin | 79–77 | 50.64% |
| One-Two vs Steve | 76–78 | 49.35% |
| One-Two vs Eddy | 98–53 | 64.90% |
| One-Two vs Yoshimitsu | 68–67 | 50.37% |
| One-Two vs Lee | 66–63 | 51.16% |
| One-Two vs Feng | 55–69 | 44.35% |
| One-Two vs Azucena | 62–56 | 52.54% |
| One-Two vs Lili | 71–44 | 61.74% |
| One-Two vs Asuka | 54–59 | 47.79% |
| One-Two vs Jun | 57–48 | 54.29% |
| One-Two vs Xiaoyu | 49–36 | 57.65% |
| One-Two vs Jack-8 | 48–32 | 60.00% |
| One-Two vs Leo | 35–38 | 47.95% |
| One-Two vs Claudio | 39–34 | 53.42% |
| One-Two vs Nina | 31–40 | 43.66% |
| One-Two vs Leroy | 30–41 | 42.25% |
| One-Two vs Raven | 36–35 | 50.70% |
| One-Two vs Victor | 28–42 | 40.00% |
| One-Two vs Lars | 29–37 | 43.94% |
| One-Two vs Zafina | 24–33 | 42.11% |
| One-Two vs Alisa | 30–25 | 54.55% |
| One-Two vs Shaheen | 18–15 | 54.55% |
| One-Two vs Kuma | 17–16 | 51.52% |
| One-Two vs Clive | 11–14 | 44.00% |
| One-Two vs Anna | 12–12 | 50.00% |
| One-Two vs Armor King | 10–8 | 55.56% |
| One-Two vs Panda | 4–11 | 26.67% |
| One-Two vs Fahkumram | 6–7 | 46.15% |
| One-Two vs Miary Zo | 3–3 | 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.