| DCICC.ORG vs Kazuya | 102–70 | 59.30% |
| DCICC.ORG vs Armor King | 85–74 | 53.46% |
| DCICC.ORG vs Bryan | 61–68 | 47.29% |
| DCICC.ORG vs Jin | 61–59 | 50.83% |
| DCICC.ORG vs Steve | 64–52 | 55.17% |
| DCICC.ORG vs Reina | 60–52 | 53.57% |
| DCICC.ORG vs King | 60–41 | 59.41% |
| DCICC.ORG vs Hwoarang | 53–46 | 53.54% |
| DCICC.ORG vs Heihachi | 64–30 | 68.09% |
| DCICC.ORG vs Paul | 51–41 | 55.43% |
| DCICC.ORG vs Fahkumram | 51–41 | 55.43% |
| DCICC.ORG vs Law | 56–34 | 62.22% |
| DCICC.ORG vs Jun | 46–37 | 55.42% |
| DCICC.ORG vs Lars | 40–40 | 50.00% |
| DCICC.ORG vs Lili | 42–36 | 53.85% |
| DCICC.ORG vs Dragunov | 36–39 | 48.00% |
| DCICC.ORG vs Asuka | 36–35 | 50.70% |
| DCICC.ORG vs Lee | 35–36 | 49.30% |
| DCICC.ORG vs Devil Jin | 35–35 | 50.00% |
| DCICC.ORG vs Leo | 33–33 | 50.00% |
| DCICC.ORG vs Azucena | 44–20 | 68.75% |
| DCICC.ORG vs Eddy | 35–27 | 56.45% |
| DCICC.ORG vs Yoshimitsu | 22–36 | 37.93% |
| DCICC.ORG vs Feng | 31–20 | 60.78% |
| DCICC.ORG vs Lidia | 29–22 | 56.86% |
| DCICC.ORG vs Xiaoyu | 21–27 | 43.75% |
| DCICC.ORG vs Jack-8 | 27–20 | 57.45% |
| DCICC.ORG vs Victor | 31–13 | 70.45% |
| DCICC.ORG vs Clive | 28–16 | 63.64% |
| DCICC.ORG vs Raven | 20–19 | 51.28% |
| DCICC.ORG vs Alisa | 23–15 | 60.53% |
| DCICC.ORG vs Leroy | 17–20 | 45.95% |
| DCICC.ORG vs Anna | 22–15 | 59.46% |
| DCICC.ORG vs Claudio | 9–23 | 28.12% |
| DCICC.ORG vs Nina | 19–10–1 | 65.52% |
| DCICC.ORG vs Miary Zo | 18–12 | 60.00% |
| DCICC.ORG vs Kuma | 13–12 | 52.00% |
| DCICC.ORG vs Zafina | 8–17 | 32.00% |
| DCICC.ORG vs Shaheen | 4–9 | 30.77% |
| DCICC.ORG vs Panda | 1–4 | 20.00% |
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.