| JDRCLC vs King | 100–81 | 55.25% |
| JDRCLC vs Kazuya | 81–94 | 46.29% |
| JDRCLC vs Jin | 70–97 | 41.92% |
| JDRCLC vs Bryan | 81–85 | 48.80% |
| JDRCLC vs Reina | 78–76 | 50.65% |
| JDRCLC vs Steve | 54–79 | 40.60% |
| JDRCLC vs Dragunov | 41–67 | 37.96% |
| JDRCLC vs Paul | 47–56 | 45.63% |
| JDRCLC vs Hwoarang | 46–54 | 46.00% |
| JDRCLC vs Jun | 46–50 | 47.92% |
| JDRCLC vs Lili | 29–57 | 33.72% |
| JDRCLC vs Yoshimitsu | 25–54 | 31.65% |
| JDRCLC vs Asuka | 38–41 | 48.10% |
| JDRCLC vs Lee | 36–42 | 46.15% |
| JDRCLC vs Azucena | 38–40 | 48.72% |
| JDRCLC vs Law | 27–48 | 36.00% |
| JDRCLC vs Eddy | 25–46 | 35.21% |
| JDRCLC vs Clive | 21–45 | 31.82% |
| JDRCLC vs Leo | 23–34 | 40.35% |
| JDRCLC vs Heihachi | 25–32 | 43.86% |
| JDRCLC vs Nina | 28–28 | 50.00% |
| JDRCLC vs Xiaoyu | 19–32 | 37.25% |
| JDRCLC vs Jack-8 | 13–30 | 30.23% |
| JDRCLC vs Lars | 12–30 | 28.57% |
| JDRCLC vs Leroy | 21–20 | 51.22% |
| JDRCLC vs Lidia | 16–24 | 40.00% |
| JDRCLC vs Feng | 18–21 | 46.15% |
| JDRCLC vs Alisa | 16–23 | 41.03% |
| JDRCLC vs Kuma | 12–24 | 33.33% |
| JDRCLC vs Devil Jin | 10–23 | 30.30% |
| JDRCLC vs Victor | 15–16 | 48.39% |
| JDRCLC vs Fahkumram | 14–15 | 48.28% |
| JDRCLC vs Raven | 11–14 | 44.00% |
| JDRCLC vs Anna | 12–10 | 54.55% |
| JDRCLC vs Claudio | 9–11 | 45.00% |
| JDRCLC vs Shaheen | 5–6 | 45.45% |
| JDRCLC vs Zafina | 4–7 | 36.36% |
| JDRCLC vs Panda | 4–3 | 57.14% |
| JDRCLC vs Armor King | 2–3 | 40.00% |
| JDRCLC vs Miary Zo | 2–1 | 66.67% |
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.