| I@mthebest1 vs King | 38–40 | 48.72% |
| I@mthebest1 vs Kazuya | 29–44 | 39.73% |
| I@mthebest1 vs Hwoarang | 39–28 | 58.21% |
| I@mthebest1 vs Bryan | 36–27 | 57.14% |
| I@mthebest1 vs Law | 22–35 | 38.60% |
| I@mthebest1 vs Jin | 29–26 | 52.73% |
| I@mthebest1 vs Heihachi | 23–29 | 44.23% |
| I@mthebest1 vs Steve | 20–30 | 40.00% |
| I@mthebest1 vs Reina | 36–13 | 73.47% |
| I@mthebest1 vs Lili | 18–20 | 47.37% |
| I@mthebest1 vs Yoshimitsu | 18–19 | 48.65% |
| I@mthebest1 vs Nina | 13–22 | 37.14% |
| I@mthebest1 vs Clive | 18–17 | 51.43% |
| I@mthebest1 vs Dragunov | 19–13 | 59.38% |
| I@mthebest1 vs Lars | 11–21 | 34.38% |
| I@mthebest1 vs Lee | 21–10 | 67.74% |
| I@mthebest1 vs Paul | 11–17 | 39.29% |
| I@mthebest1 vs Asuka | 15–12 | 55.56% |
| I@mthebest1 vs Devil Jin | 16–9 | 64.00% |
| I@mthebest1 vs Azucena | 17–8 | 68.00% |
| I@mthebest1 vs Leo | 13–7 | 65.00% |
| I@mthebest1 vs Lidia | 11–9 | 55.00% |
| I@mthebest1 vs Feng | 9–10 | 47.37% |
| I@mthebest1 vs Jun | 14–5 | 73.68% |
| I@mthebest1 vs Jack-8 | 9–9 | 50.00% |
| I@mthebest1 vs Xiaoyu | 12–4 | 75.00% |
| I@mthebest1 vs Claudio | 8–7 | 53.33% |
| I@mthebest1 vs Shaheen | 5–10 | 33.33% |
| I@mthebest1 vs Zafina | 6–8 | 42.86% |
| I@mthebest1 vs Leroy | 11–3 | 78.57% |
| I@mthebest1 vs Victor | 4–10 | 28.57% |
| I@mthebest1 vs Alisa | 4–9 | 30.77% |
| I@mthebest1 vs Kuma | 7–3 | 70.00% |
| I@mthebest1 vs Eddy | 5–5 | 50.00% |
| I@mthebest1 vs Raven | 4–4 | 50.00% |
| I@mthebest1 vs Panda | 1–1 | 50.00% |
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.