| EddyLoop vs Kazuya | 56–43 | 56.57% |
| EddyLoop vs Bryan | 41–51 | 44.57% |
| EddyLoop vs King | 50–26 | 65.79% |
| EddyLoop vs Heihachi | 37–31 | 54.41% |
| EddyLoop vs Jin | 23–35 | 39.66% |
| EddyLoop vs Hwoarang | 34–20 | 62.96% |
| EddyLoop vs Law | 24–23 | 51.06% |
| EddyLoop vs Paul | 27–16 | 62.79% |
| EddyLoop vs Steve | 26–17 | 60.47% |
| EddyLoop vs Yoshimitsu | 17–24 | 41.46% |
| EddyLoop vs Asuka | 24–17 | 58.54% |
| EddyLoop vs Lili | 16–25 | 39.02% |
| EddyLoop vs Dragunov | 21–19 | 52.50% |
| EddyLoop vs Reina | 22–17 | 56.41% |
| EddyLoop vs Lee | 19–18 | 51.35% |
| EddyLoop vs Clive | 19–17 | 52.78% |
| EddyLoop vs Fahkumram | 20–16 | 55.56% |
| EddyLoop vs Xiaoyu | 12–18 | 40.00% |
| EddyLoop vs Anna | 9–20 | 31.03% |
| EddyLoop vs Armor King | 14–14 | 50.00% |
| EddyLoop vs Eddy | 13–11 | 54.17% |
| EddyLoop vs Devil Jin | 10–13 | 43.48% |
| EddyLoop vs Azucena | 16–7 | 69.57% |
| EddyLoop vs Victor | 16–7 | 69.57% |
| EddyLoop vs Feng | 8–14 | 36.36% |
| EddyLoop vs Nina | 15–7 | 68.18% |
| EddyLoop vs Jun | 13–8 | 61.90% |
| EddyLoop vs Leo | 10–9 | 52.63% |
| EddyLoop vs Alisa | 6–9 | 40.00% |
| EddyLoop vs Raven | 9–5 | 64.29% |
| EddyLoop vs Lidia | 8–6 | 57.14% |
| EddyLoop vs Claudio | 5–5 | 50.00% |
| EddyLoop vs Lars | 6–2 | 75.00% |
| EddyLoop vs Kuma | 5–3 | 62.50% |
| EddyLoop vs Zafina | 4–3 | 57.14% |
| EddyLoop vs Leroy | 5–2 | 71.43% |
| EddyLoop vs Jack-8 | 3–2 | 60.00% |
| EddyLoop vs Shaheen | 4–0 | 100.00% |
| EddyLoop vs Miary Zo | 1–2 | 33.33% |
| EddyLoop vs Panda | 0–2 | 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.