| FAHKUMRAM vs Kazuya | 156–77 | 66.95% |
| FAHKUMRAM vs Paul | 129–45 | 74.14% |
| FAHKUMRAM vs Bryan | 124–50 | 71.26% |
| FAHKUMRAM vs Jin | 114–42 | 73.08% |
| FAHKUMRAM vs Dragunov | 86–58 | 59.72% |
| FAHKUMRAM vs Hwoarang | 94–47 | 66.67% |
| FAHKUMRAM vs Clive | 79–50 | 61.24% |
| FAHKUMRAM vs Heihachi | 75–39 | 65.79% |
| FAHKUMRAM vs Reina | 73–38 | 65.77% |
| FAHKUMRAM vs King | 74–33 | 69.16% |
| FAHKUMRAM vs Devil Jin | 68–35 | 66.02% |
| FAHKUMRAM vs Armor King | 72–29 | 71.29% |
| FAHKUMRAM vs Steve | 64–36 | 64.00% |
| FAHKUMRAM vs Feng | 66–31 | 68.04% |
| FAHKUMRAM vs Victor | 69–23 | 75.00% |
| FAHKUMRAM vs Asuka | 63–26 | 70.79% |
| FAHKUMRAM vs Lidia | 60–28 | 68.18% |
| FAHKUMRAM vs Yoshimitsu | 62–22 | 73.81% |
| FAHKUMRAM vs Lili | 46–35 | 56.79% |
| FAHKUMRAM vs Lars | 49–32 | 60.49% |
| FAHKUMRAM vs Fahkumram | 58–23 | 71.60% |
| FAHKUMRAM vs Claudio | 46–28 | 62.16% |
| FAHKUMRAM vs Azucena | 48–22 | 68.57% |
| FAHKUMRAM vs Law | 39–30 | 56.52% |
| FAHKUMRAM vs Lee | 44–19 | 69.84% |
| FAHKUMRAM vs Nina | 35–27 | 56.45% |
| FAHKUMRAM vs Jack-8 | 38–22 | 63.33% |
| FAHKUMRAM vs Anna | 27–31 | 46.55% |
| FAHKUMRAM vs Jun | 35–16 | 68.63% |
| FAHKUMRAM vs Leroy | 27–20 | 57.45% |
| FAHKUMRAM vs Shaheen | 25–12 | 67.57% |
| FAHKUMRAM vs Eddy | 21–16 | 56.76% |
| FAHKUMRAM vs Kuma | 17–18 | 48.57% |
| FAHKUMRAM vs Raven | 24–10 | 70.59% |
| FAHKUMRAM vs Xiaoyu | 23–10 | 69.70% |
| FAHKUMRAM vs Alisa | 20–13 | 60.61% |
| FAHKUMRAM vs Leo | 18–10 | 64.29% |
| FAHKUMRAM vs Miary Zo | 13–9 | 59.09% |
| FAHKUMRAM vs Zafina | 8–13 | 38.10% |
| FAHKUMRAM vs Panda | 13–7 | 65.00% |
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.