| Jâgô vs King | 36–42 | 46.15% |
| Jâgô vs Jin | 27–40 | 40.30% |
| Jâgô vs Kazuya | 25–37 | 40.32% |
| Jâgô vs Dragunov | 22–29 | 43.14% |
| Jâgô vs Reina | 19–27 | 41.30% |
| Jâgô vs Fahkumram | 17–27 | 38.64% |
| Jâgô vs Lidia | 15–23 | 39.47% |
| Jâgô vs Law | 19–18 | 51.35% |
| Jâgô vs Steve | 16–17 | 48.48% |
| Jâgô vs Bryan | 11–21 | 34.38% |
| Jâgô vs Hwoarang | 17–14 | 54.84% |
| Jâgô vs Yoshimitsu | 13–15 | 46.43% |
| Jâgô vs Jun | 9–17 | 34.62% |
| Jâgô vs Lili | 8–15 | 34.78% |
| Jâgô vs Paul | 5–16 | 23.81% |
| Jâgô vs Asuka | 11–10 | 52.38% |
| Jâgô vs Devil Jin | 7–14 | 33.33% |
| Jâgô vs Alisa | 12–9 | 57.14% |
| Jâgô vs Nina | 5–16 | 23.81% |
| Jâgô vs Lee | 6–15 | 28.57% |
| Jâgô vs Eddy | 2–19 | 9.52% |
| Jâgô vs Shaheen | 9–7 | 56.25% |
| Jâgô vs Xiaoyu | 7–8 | 46.67% |
| Jâgô vs Feng | 4–11 | 26.67% |
| Jâgô vs Victor | 7–8 | 46.67% |
| Jâgô vs Zafina | 3–10 | 23.08% |
| Jâgô vs Heihachi | 5–8 | 38.46% |
| Jâgô vs Raven | 4–8 | 33.33% |
| Jâgô vs Azucena | 3–8 | 27.27% |
| Jâgô vs Jack-8 | 3–6 | 33.33% |
| Jâgô vs Claudio | 3–6 | 33.33% |
| Jâgô vs Leo | 2–5 | 28.57% |
| Jâgô vs Leroy | 5–2 | 71.43% |
| Jâgô vs Lars | 3–3 | 50.00% |
| Jâgô vs Anna | 2–4 | 33.33% |
| Jâgô vs Kuma | 0–4 | 0.00% |
| Jâgô vs Panda | 0–1 | 0.00% |
| Jâgô vs Clive | 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.