| Chip_Damage vs Reina | 10–1 | 90.91% |
| Chip_Damage vs Paul | 7–2 | 77.78% |
| Chip_Damage vs Kazuya | 8–1 | 88.89% |
| Chip_Damage vs Heihachi | 8–1 | 88.89% |
| Chip_Damage vs King | 8–0 | 100.00% |
| Chip_Damage vs Asuka | 7–1 | 87.50% |
| Chip_Damage vs Lili | 8–0 | 100.00% |
| Chip_Damage vs Yoshimitsu | 5–1 | 83.33% |
| Chip_Damage vs Jin | 4–2 | 66.67% |
| Chip_Damage vs Bryan | 5–1 | 83.33% |
| Chip_Damage vs Victor | 4–2 | 66.67% |
| Chip_Damage vs Raven | 5–1 | 83.33% |
| Chip_Damage vs Law | 4–1 | 80.00% |
| Chip_Damage vs Azucena | 2–3 | 40.00% |
| Chip_Damage vs Xiaoyu | 2–2 | 50.00% |
| Chip_Damage vs Leo | 3–1 | 75.00% |
| Chip_Damage vs Eddy | 2–1 | 66.67% |
| Chip_Damage vs Steve | 2–0 | 100.00% |
| Chip_Damage vs Jack-8 | 2–0 | 100.00% |
| Chip_Damage vs Feng | 2–0 | 100.00% |
| Chip_Damage vs Lars | 1–1 | 50.00% |
| Chip_Damage vs Claudio | 2–0 | 100.00% |
| Chip_Damage vs Lee | 0–2 | 0.00% |
| Chip_Damage vs Zafina | 2–0 | 100.00% |
| Chip_Damage vs Leroy | 2–0 | 100.00% |
| Chip_Damage vs Jun | 2–0 | 100.00% |
| Chip_Damage vs Lidia | 2–0 | 100.00% |
| Chip_Damage vs Clive | 2–0 | 100.00% |
| Chip_Damage vs Devil Jin | 1–0 | 100.00% |
| Chip_Damage vs Alisa | 1–0 | 100.00% |
| Chip_Damage vs Shaheen | 1–0 | 100.00% |
| Chip_Damage vs Nina | 1–0 | 100.00% |
| Chip_Damage vs Kuma | 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.