| Isma692 vs Kazuya | 256–368 | 41.03% |
| Isma692 vs Jin | 292–324 | 47.40% |
| Isma692 vs Hwoarang | 219–251 | 46.60% |
| Isma692 vs King | 184–276 | 40.00% |
| Isma692 vs Law | 205–222 | 48.01% |
| Isma692 vs Bryan | 193–230 | 45.63% |
| Isma692 vs Reina | 145–226 | 39.08% |
| Isma692 vs Paul | 143–146 | 49.48% |
| Isma692 vs Steve | 143–145 | 49.65% |
| Isma692 vs Yoshimitsu | 125–156 | 44.48% |
| Isma692 vs Lili | 139–137 | 50.36% |
| Isma692 vs Eddy | 145–127 | 53.31% |
| Isma692 vs Dragunov | 96–143 | 40.17% |
| Isma692 vs Heihachi | 93–130 | 41.70% |
| Isma692 vs Jun | 113–96 | 54.07% |
| Isma692 vs Devil Jin | 71–112 | 38.80% |
| Isma692 vs Asuka | 86–93 | 48.04% |
| Isma692 vs Lee | 71–92 | 43.56% |
| Isma692 vs Alisa | 74–87 | 45.96% |
| Isma692 vs Lars | 67–86 | 43.79% |
| Isma692 vs Nina | 77–73 | 51.33% |
| Isma692 vs Victor | 73–74 | 49.66% |
| Isma692 vs Azucena | 71–75 | 48.63% |
| Isma692 vs Feng | 55–83 | 39.86% |
| Isma692 vs Xiaoyu | 77–57 | 57.46% |
| Isma692 vs Fahkumram | 45–85 | 34.62% |
| Isma692 vs Lidia | 48–71 | 40.34% |
| Isma692 vs Jack-8 | 67–50 | 57.26% |
| Isma692 vs Claudio | 47–46 | 50.54% |
| Isma692 vs Clive | 36–56 | 39.13% |
| Isma692 vs Anna | 43–45 | 48.86% |
| Isma692 vs Leroy | 41–46 | 47.13% |
| Isma692 vs Leo | 37–40 | 48.05% |
| Isma692 vs Raven | 24–43 | 35.82% |
| Isma692 vs Kuma | 27–36 | 42.86% |
| Isma692 vs Zafina | 27–28 | 49.09% |
| Isma692 vs Shaheen | 24–25 | 48.98% |
| Isma692 vs Miary Zo | 8–9 | 47.06% |
| Isma692 vs Panda | 5–9 | 35.71% |
| Isma692 vs Armor King | 4–6 | 40.00% |
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.