| forsenBlob vs Jin | 185–138 | 57.28% |
| forsenBlob vs Kazuya | 199–115 | 63.38% |
| forsenBlob vs Reina | 170–89 | 65.64% |
| forsenBlob vs Dragunov | 128–103 | 55.41% |
| forsenBlob vs Paul | 122–104 | 53.98% |
| forsenBlob vs King | 114–112 | 50.44% |
| forsenBlob vs Hwoarang | 127–94 | 57.47% |
| forsenBlob vs Bryan | 109–109 | 50.00% |
| forsenBlob vs Law | 106–90 | 54.08% |
| forsenBlob vs Devil Jin | 87–90 | 49.15% |
| forsenBlob vs Steve | 104–61 | 63.03% |
| forsenBlob vs Alisa | 61–89 | 40.67% |
| forsenBlob vs Lili | 76–73 | 51.01% |
| forsenBlob vs Heihachi | 62–75 | 45.26% |
| forsenBlob vs Yoshimitsu | 77–58–1 | 57.04% |
| forsenBlob vs Lee | 72–64 | 52.94% |
| forsenBlob vs Azucena | 75–56 | 57.25% |
| forsenBlob vs Feng | 50–66 | 43.10% |
| forsenBlob vs Jun | 74–40 | 64.91% |
| forsenBlob vs Asuka | 51–52 | 49.51% |
| forsenBlob vs Nina | 60–37 | 61.86% |
| forsenBlob vs Lars | 48–47 | 50.53% |
| forsenBlob vs Leroy | 39–40 | 49.37% |
| forsenBlob vs Victor | 39–39 | 50.00% |
| forsenBlob vs Xiaoyu | 24–48 | 33.33% |
| forsenBlob vs Jack-8 | 35–37 | 48.61% |
| forsenBlob vs Fahkumram | 33–36 | 47.83% |
| forsenBlob vs Anna | 28–38 | 42.42% |
| forsenBlob vs Eddy | 25–35 | 41.67% |
| forsenBlob vs Claudio | 36–23 | 61.02% |
| forsenBlob vs Lidia | 34–23 | 59.65% |
| forsenBlob vs Armor King | 35–22 | 61.40% |
| forsenBlob vs Leo | 27–26 | 50.94% |
| forsenBlob vs Raven | 20–25 | 44.44% |
| forsenBlob vs Zafina | 12–32 | 27.27% |
| forsenBlob vs Shaheen | 17–25 | 40.48% |
| forsenBlob vs Clive | 22–18 | 55.00% |
| forsenBlob vs Kuma | 13–18 | 41.94% |
| forsenBlob vs Panda | 9–7 | 56.25% |
| forsenBlob vs Miary Zo | 3–2 | 60.00% |
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.