| iAmLabRecordz vs Jin | 222–206 | 51.87% |
| iAmLabRecordz vs Kazuya | 222–161–1 | 57.96% |
| iAmLabRecordz vs Reina | 181–173 | 51.13% |
| iAmLabRecordz vs King | 203–127 | 61.52% |
| iAmLabRecordz vs Bryan | 165–138 | 54.46% |
| iAmLabRecordz vs Law | 178–114 | 60.96% |
| iAmLabRecordz vs Steve | 134–130 | 50.76% |
| iAmLabRecordz vs Hwoarang | 142–117 | 54.83% |
| iAmLabRecordz vs Dragunov | 129–120 | 51.81% |
| iAmLabRecordz vs Paul | 125–95 | 56.82% |
| iAmLabRecordz vs Lili | 115–100 | 53.49% |
| iAmLabRecordz vs Eddy | 110–99 | 52.63% |
| iAmLabRecordz vs Lee | 112–89 | 55.72% |
| iAmLabRecordz vs Azucena | 99–99 | 50.00% |
| iAmLabRecordz vs Yoshimitsu | 110–80 | 57.89% |
| iAmLabRecordz vs Jun | 109–73 | 59.89% |
| iAmLabRecordz vs Heihachi | 90–90 | 50.00% |
| iAmLabRecordz vs Lars | 92–87 | 51.40% |
| iAmLabRecordz vs Asuka | 92–85 | 51.98% |
| iAmLabRecordz vs Devil Jin | 77–93 | 45.29% |
| iAmLabRecordz vs Nina | 75–84 | 47.17% |
| iAmLabRecordz vs Feng | 73–82 | 47.10% |
| iAmLabRecordz vs Victor | 74–70 | 51.39% |
| iAmLabRecordz vs Xiaoyu | 80–59 | 57.55% |
| iAmLabRecordz vs Leo | 69–66 | 51.11% |
| iAmLabRecordz vs Raven | 81–52 | 60.90% |
| iAmLabRecordz vs Leroy | 56–68 | 45.16% |
| iAmLabRecordz vs Jack-8 | 59–54–1 | 52.21% |
| iAmLabRecordz vs Alisa | 62–49 | 55.86% |
| iAmLabRecordz vs Lidia | 49–49 | 50.00% |
| iAmLabRecordz vs Zafina | 39–46 | 45.88% |
| iAmLabRecordz vs Kuma | 43–35 | 55.13% |
| iAmLabRecordz vs Claudio | 33–40 | 45.21% |
| iAmLabRecordz vs Shaheen | 24–43 | 35.82% |
| iAmLabRecordz vs Clive | 29–22 | 56.86% |
| iAmLabRecordz vs Panda | 29–20 | 59.18% |
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.