| Yildo vs Armor King | 33–42 | 44.00% |
| Yildo vs Jin | 17–24 | 41.46% |
| Yildo vs King | 20–18 | 52.63% |
| Yildo vs Eddy | 10–27 | 27.03% |
| Yildo vs Kazuya | 14–22 | 38.89% |
| Yildo vs Steve | 18–18 | 50.00% |
| Yildo vs Hwoarang | 18–15 | 54.55% |
| Yildo vs Reina | 17–11 | 60.71% |
| Yildo vs Dragunov | 14–13 | 51.85% |
| Yildo vs Law | 15–10 | 60.00% |
| Yildo vs Lili | 11–10 | 52.38% |
| Yildo vs Yoshimitsu | 11–7 | 61.11% |
| Yildo vs Bryan | 3–15 | 16.67% |
| Yildo vs Nina | 9–7 | 56.25% |
| Yildo vs Heihachi | 8–8 | 50.00% |
| Yildo vs Jun | 10–5 | 66.67% |
| Yildo vs Devil Jin | 7–7 | 50.00% |
| Yildo vs Xiaoyu | 5–8 | 38.46% |
| Yildo vs Alisa | 6–6 | 50.00% |
| Yildo vs Lee | 4–8 | 33.33% |
| Yildo vs Lars | 6–5 | 54.55% |
| Yildo vs Clive | 8–3 | 72.73% |
| Yildo vs Asuka | 3–7 | 30.00% |
| Yildo vs Victor | 6–4 | 60.00% |
| Yildo vs Paul | 4–5 | 44.44% |
| Yildo vs Zafina | 7–1 | 87.50% |
| Yildo vs Leroy | 4–4 | 50.00% |
| Yildo vs Azucena | 7–1 | 87.50% |
| Yildo vs Lidia | 3–5 | 37.50% |
| Yildo vs Feng | 2–4 | 33.33% |
| Yildo vs Fahkumram | 3–3 | 50.00% |
| Yildo vs Jack-8 | 3–2 | 60.00% |
| Yildo vs Anna | 5–0 | 100.00% |
| Yildo vs Leo | 1–2 | 33.33% |
| Yildo vs Miary Zo | 2–1 | 66.67% |
| Yildo vs Shaheen | 1–1 | 50.00% |
| Yildo vs Panda | 1–1 | 50.00% |
| Yildo vs Raven | 0–1 | 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.