| Chandigarh 0172 vs Bryan | 203–184 | 52.45% |
| Chandigarh 0172 vs Kazuya | 192–170 | 53.04% |
| Chandigarh 0172 vs King | 125–119 | 51.23% |
| Chandigarh 0172 vs Jin | 106–133 | 44.35% |
| Chandigarh 0172 vs Steve | 119–118 | 50.21% |
| Chandigarh 0172 vs Heihachi | 91–84 | 52.00% |
| Chandigarh 0172 vs Dragunov | 86–77 | 52.76% |
| Chandigarh 0172 vs Lee | 70–81 | 46.36% |
| Chandigarh 0172 vs Paul | 81–65 | 55.48% |
| Chandigarh 0172 vs Clive | 43–71 | 37.72% |
| Chandigarh 0172 vs Yoshimitsu | 48–57 | 45.71% |
| Chandigarh 0172 vs Law | 47–55 | 46.08% |
| Chandigarh 0172 vs Hwoarang | 46–56 | 45.10% |
| Chandigarh 0172 vs Reina | 49–48 | 50.52% |
| Chandigarh 0172 vs Devil Jin | 36–42 | 46.15% |
| Chandigarh 0172 vs Lidia | 34–36 | 48.57% |
| Chandigarh 0172 vs Lili | 33–35 | 48.53% |
| Chandigarh 0172 vs Azucena | 35–29 | 54.69% |
| Chandigarh 0172 vs Feng | 30–28 | 51.72% |
| Chandigarh 0172 vs Jun | 35–23 | 60.34% |
| Chandigarh 0172 vs Lars | 31–25 | 55.36% |
| Chandigarh 0172 vs Victor | 24–32 | 42.86% |
| Chandigarh 0172 vs Asuka | 22–33 | 40.00% |
| Chandigarh 0172 vs Claudio | 23–29 | 44.23% |
| Chandigarh 0172 vs Raven | 25–23 | 52.08% |
| Chandigarh 0172 vs Jack-8 | 22–23 | 48.89% |
| Chandigarh 0172 vs Leo | 26–19 | 57.78% |
| Chandigarh 0172 vs Alisa | 13–27 | 32.50% |
| Chandigarh 0172 vs Xiaoyu | 17–22 | 43.59% |
| Chandigarh 0172 vs Kuma | 14–24 | 36.84% |
| Chandigarh 0172 vs Eddy | 13–24 | 35.14% |
| Chandigarh 0172 vs Shaheen | 19–16 | 54.29% |
| Chandigarh 0172 vs Nina | 10–22 | 31.25% |
| Chandigarh 0172 vs Leroy | 14–15 | 48.28% |
| Chandigarh 0172 vs Panda | 4–4 | 50.00% |
| Chandigarh 0172 vs Zafina | 3–4 | 42.86% |
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.