| L'Arg0Naut vs Jin | 57–56 | 50.44% |
| L'Arg0Naut vs Hwoarang | 32–34 | 48.48% |
| L'Arg0Naut vs Yoshimitsu | 34–27 | 55.74% |
| L'Arg0Naut vs King | 29–27 | 51.79% |
| L'Arg0Naut vs Reina | 23–30 | 43.40% |
| L'Arg0Naut vs Bryan | 30–20 | 60.00% |
| L'Arg0Naut vs Eddy | 20–30 | 40.00% |
| L'Arg0Naut vs Kazuya | 27–18 | 60.00% |
| L'Arg0Naut vs Lili | 19–24 | 44.19% |
| L'Arg0Naut vs Law | 26–16 | 61.90% |
| L'Arg0Naut vs Steve | 24–14 | 63.16% |
| L'Arg0Naut vs Paul | 19–18 | 51.35% |
| L'Arg0Naut vs Dragunov | 12–25 | 32.43% |
| L'Arg0Naut vs Feng | 19–17 | 52.78% |
| L'Arg0Naut vs Lee | 13–18 | 41.94% |
| L'Arg0Naut vs Xiaoyu | 15–15 | 50.00% |
| L'Arg0Naut vs Devil Jin | 13–17 | 43.33% |
| L'Arg0Naut vs Nina | 11–14 | 44.00% |
| L'Arg0Naut vs Victor | 12–12 | 50.00% |
| L'Arg0Naut vs Lars | 6–16 | 27.27% |
| L'Arg0Naut vs Jun | 10–12 | 45.45% |
| L'Arg0Naut vs Alisa | 12–8 | 60.00% |
| L'Arg0Naut vs Claudio | 10–8 | 55.56% |
| L'Arg0Naut vs Asuka | 9–8 | 52.94% |
| L'Arg0Naut vs Azucena | 11–5 | 68.75% |
| L'Arg0Naut vs Jack-8 | 10–5 | 66.67% |
| L'Arg0Naut vs Raven | 8–6 | 57.14% |
| L'Arg0Naut vs Leroy | 6–5 | 54.55% |
| L'Arg0Naut vs Kuma | 1–9 | 10.00% |
| L'Arg0Naut vs Leo | 4–4 | 50.00% |
| L'Arg0Naut vs Zafina | 2–5 | 28.57% |
| L'Arg0Naut vs Shaheen | 2–4 | 33.33% |
| L'Arg0Naut 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.