| RDKP|KMF vs King | 38–58 | 39.58% |
| RDKP|KMF vs Reina | 44–45 | 49.44% |
| RDKP|KMF vs Jin | 36–34 | 51.43% |
| RDKP|KMF vs Law | 34–35 | 49.28% |
| RDKP|KMF vs Bryan | 25–37 | 40.32% |
| RDKP|KMF vs Kazuya | 25–34 | 42.37% |
| RDKP|KMF vs Paul | 27–28 | 49.09% |
| RDKP|KMF vs Lili | 29–26 | 52.73% |
| RDKP|KMF vs Jun | 28–25 | 52.83% |
| RDKP|KMF vs Steve | 28–22 | 56.00% |
| RDKP|KMF vs Hwoarang | 24–21 | 53.33% |
| RDKP|KMF vs Asuka | 25–13 | 65.79% |
| RDKP|KMF vs Dragunov | 18–19 | 48.65% |
| RDKP|KMF vs Clive | 22–15 | 59.46% |
| RDKP|KMF vs Azucena | 15–21 | 41.67% |
| RDKP|KMF vs Victor | 19–17 | 52.78% |
| RDKP|KMF vs Leo | 15–20 | 42.86% |
| RDKP|KMF vs Lars | 14–18 | 43.75% |
| RDKP|KMF vs Nina | 14–18 | 43.75% |
| RDKP|KMF vs Devil Jin | 13–18 | 41.94% |
| RDKP|KMF vs Lidia | 13–16 | 44.83% |
| RDKP|KMF vs Feng | 17–11 | 60.71% |
| RDKP|KMF vs Fahkumram | 17–11 | 60.71% |
| RDKP|KMF vs Lee | 13–14 | 48.15% |
| RDKP|KMF vs Yoshimitsu | 11–15 | 42.31% |
| RDKP|KMF vs Xiaoyu | 18–8 | 69.23% |
| RDKP|KMF vs Anna | 19–7 | 73.08% |
| RDKP|KMF vs Raven | 11–13 | 45.83% |
| RDKP|KMF vs Miary Zo | 9–15 | 37.50% |
| RDKP|KMF vs Leroy | 6–17 | 26.09% |
| RDKP|KMF vs Heihachi | 9–14 | 39.13% |
| RDKP|KMF vs Zafina | 8–13 | 38.10% |
| RDKP|KMF vs Eddy | 8–12 | 40.00% |
| RDKP|KMF vs Armor King | 10–9 | 52.63% |
| RDKP|KMF vs Jack-8 | 6–12 | 33.33% |
| RDKP|KMF vs Kuma | 7–11 | 38.89% |
| RDKP|KMF vs Claudio | 4–9 | 30.77% |
| RDKP|KMF vs Alisa | 3–8 | 27.27% |
| RDKP|KMF vs Shaheen | 5–4 | 55.56% |
| RDKP|KMF vs Panda | 1–2 | 33.33% |
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.