| Ervine vs Kazuya | 49–13 | 79.03% |
| Ervine vs Jin | 38–19 | 66.67% |
| Ervine vs King | 43–7 | 86.00% |
| Ervine vs Reina | 29–12 | 70.73% |
| Ervine vs Steve | 31–9 | 77.50% |
| Ervine vs Bryan | 24–14 | 63.16% |
| Ervine vs Yoshimitsu | 24–13 | 64.86% |
| Ervine vs Heihachi | 24–8 | 75.00% |
| Ervine vs Dragunov | 20–9 | 68.97% |
| Ervine vs Victor | 20–8 | 71.43% |
| Ervine vs Hwoarang | 20–5 | 80.00% |
| Ervine vs Lili | 17–8 | 68.00% |
| Ervine vs Law | 19–5 | 79.17% |
| Ervine vs Lee | 17–7 | 70.83% |
| Ervine vs Claudio | 15–8 | 65.22% |
| Ervine vs Eddy | 3–16 | 15.79% |
| Ervine vs Paul | 11–7 | 61.11% |
| Ervine vs Asuka | 13–4 | 76.47% |
| Ervine vs Devil Jin | 15–2 | 88.24% |
| Ervine vs Jun | 12–3 | 80.00% |
| Ervine vs Azucena | 13–1 | 92.86% |
| Ervine vs Lars | 8–5 | 61.54% |
| Ervine vs Nina | 6–6 | 50.00% |
| Ervine vs Jack-8 | 8–3 | 72.73% |
| Ervine vs Clive | 9–2 | 81.82% |
| Ervine vs Fahkumram | 7–2 | 77.78% |
| Ervine vs Feng | 8–0 | 100.00% |
| Ervine vs Leroy | 5–3 | 62.50% |
| Ervine vs Lidia | 6–2 | 75.00% |
| Ervine vs Shaheen | 6–1 | 85.71% |
| Ervine vs Zafina | 4–3 | 57.14% |
| Ervine vs Armor King | 7–0 | 100.00% |
| Ervine vs Xiaoyu | 1–5 | 16.67% |
| Ervine vs Raven | 4–2 | 66.67% |
| Ervine vs Miary Zo | 3–2 | 60.00% |
| Ervine vs Leo | 3–1 | 75.00% |
| Ervine vs Anna | 2–1 | 66.67% |
| Ervine vs Alisa | 2–0 | 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.