| Engaver vs Jin | 29–27 | 51.79% |
| Engaver vs Kazuya | 26–26 | 50.00% |
| Engaver vs Dragunov | 31–18 | 63.27% |
| Engaver vs King | 22–24 | 47.83% |
| Engaver vs Reina | 26–20 | 56.52% |
| Engaver vs Hwoarang | 20–20 | 50.00% |
| Engaver vs Law | 17–17 | 50.00% |
| Engaver vs Paul | 13–19 | 40.62% |
| Engaver vs Bryan | 20–12 | 62.50% |
| Engaver vs Yoshimitsu | 20–11 | 64.52% |
| Engaver vs Steve | 11–11 | 50.00% |
| Engaver vs Feng | 15–6 | 71.43% |
| Engaver vs Xiaoyu | 11–8 | 57.89% |
| Engaver vs Asuka | 11–7 | 61.11% |
| Engaver vs Jack-8 | 13–4 | 76.47% |
| Engaver vs Devil Jin | 7–10 | 41.18% |
| Engaver vs Lee | 5–11 | 31.25% |
| Engaver vs Lili | 6–9 | 40.00% |
| Engaver vs Alisa | 8–7 | 53.33% |
| Engaver vs Lars | 7–7 | 50.00% |
| Engaver vs Leroy | 9–4 | 69.23% |
| Engaver vs Jun | 6–7 | 46.15% |
| Engaver vs Azucena | 6–7 | 46.15% |
| Engaver vs Nina | 5–5 | 50.00% |
| Engaver vs Lidia | 3–7 | 30.00% |
| Engaver vs Leo | 5–4 | 55.56% |
| Engaver vs Shaheen | 6–2 | 75.00% |
| Engaver vs Raven | 2–6 | 25.00% |
| Engaver vs Eddy | 1–7 | 12.50% |
| Engaver vs Zafina | 4–3 | 57.14% |
| Engaver vs Claudio | 2–4 | 33.33% |
| Engaver vs Kuma | 3–3 | 50.00% |
| Engaver vs Victor | 2–4 | 33.33% |
| Engaver vs Heihachi | 4–2 | 66.67% |
| Engaver vs Panda | 1–0 | 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.