| ErcThree vs King | 69–62 | 52.67% |
| ErcThree vs Jin | 51–66 | 43.59% |
| ErcThree vs Kazuya | 50–59 | 45.87% |
| ErcThree vs Bryan | 32–46 | 41.03% |
| ErcThree vs Hwoarang | 29–43 | 40.28% |
| ErcThree vs Reina | 30–41 | 42.25% |
| ErcThree vs Law | 31–37 | 45.59% |
| ErcThree vs Steve | 36–28 | 56.25% |
| ErcThree vs Jun | 36–27 | 57.14% |
| ErcThree vs Paul | 21–26 | 44.68% |
| ErcThree vs Dragunov | 22–24 | 47.83% |
| ErcThree vs Eddy | 19–23 | 45.24% |
| ErcThree vs Victor | 19–22 | 46.34% |
| ErcThree vs Heihachi | 20–21 | 48.78% |
| ErcThree vs Devil Jin | 23–17 | 57.50% |
| ErcThree vs Lee | 14–24 | 36.84% |
| ErcThree vs Yoshimitsu | 12–23–1 | 34.29% |
| ErcThree vs Lili | 15–19 | 44.12% |
| ErcThree vs Lars | 15–17 | 46.88% |
| ErcThree vs Armor King | 8–24 | 25.00% |
| ErcThree vs Alisa | 19–11 | 63.33% |
| ErcThree vs Asuka | 8–20 | 28.57% |
| ErcThree vs Clive | 14–14 | 50.00% |
| ErcThree vs Nina | 13–13–1 | 50.00% |
| ErcThree vs Jack-8 | 11–15 | 42.31% |
| ErcThree vs Azucena | 12–11 | 52.17% |
| ErcThree vs Feng | 11–10 | 52.38% |
| ErcThree vs Xiaoyu | 7–13 | 35.00% |
| ErcThree vs Raven | 6–12 | 33.33% |
| ErcThree vs Lidia | 9–5 | 64.29% |
| ErcThree vs Fahkumram | 4–10 | 28.57% |
| ErcThree vs Leo | 7–5 | 58.33% |
| ErcThree vs Kuma | 2–8 | 20.00% |
| ErcThree vs Anna | 3–7 | 30.00% |
| ErcThree vs Claudio | 4–5 | 44.44% |
| ErcThree vs Leroy | 2–6 | 25.00% |
| ErcThree vs Shaheen | 2–4 | 33.33% |
| ErcThree vs Zafina | 2–2 | 50.00% |
| ErcThree vs Miary Zo | 3–1 | 75.00% |
| ErcThree vs Panda | 1–1 | 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.