| Like vs Jin | 59–38 | 60.82% |
| Like vs Kazuya | 51–38 | 57.30% |
| Like vs Bryan | 39–45 | 46.43% |
| Like vs Hwoarang | 46–36 | 56.10% |
| Like vs King | 27–40 | 40.30% |
| Like vs Reina | 32–32 | 50.00% |
| Like vs Steve | 37–21 | 63.79% |
| Like vs Law | 26–29 | 47.27% |
| Like vs Jun | 19–29 | 39.58% |
| Like vs Eddy | 22–24 | 47.83% |
| Like vs Azucena | 22–22 | 50.00% |
| Like vs Lidia | 25–19 | 56.82% |
| Like vs Victor | 18–24 | 42.86% |
| Like vs Heihachi | 20–20 | 50.00% |
| Like vs Lili | 20–18 | 52.63% |
| Like vs Dragunov | 15–23 | 39.47% |
| Like vs Asuka | 27–9 | 75.00% |
| Like vs Lars | 17–18 | 48.57% |
| Like vs Paul | 13–21 | 38.24% |
| Like vs Yoshimitsu | 17–17 | 50.00% |
| Like vs Clive | 18–16 | 52.94% |
| Like vs Xiaoyu | 15–16 | 48.39% |
| Like vs Lee | 10–18 | 35.71% |
| Like vs Raven | 13–13 | 50.00% |
| Like vs Alisa | 8–14 | 36.36% |
| Like vs Jack-8 | 7–13 | 35.00% |
| Like vs Devil Jin | 10–10 | 50.00% |
| Like vs Kuma | 8–12 | 40.00% |
| Like vs Feng | 8–10 | 44.44% |
| Like vs Leroy | 9–7 | 56.25% |
| Like vs Shaheen | 10–5 | 66.67% |
| Like vs Zafina | 8–7 | 53.33% |
| Like vs Nina | 7–6 | 53.85% |
| Like vs Claudio | 4–6 | 40.00% |
| Like vs Fahkumram | 3–7 | 30.00% |
| Like vs Leo | 3–6 | 33.33% |
| Like vs Armor King | 5–2 | 71.43% |
| Like vs Miary Zo | 2–5 | 28.57% |
| Like vs Panda | 0–3 | 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.