| mess.iar vs Steve | 55–61 | 47.41% |
| mess.iar vs Jin | 41–43 | 48.81% |
| mess.iar vs Kazuya | 34–43 | 44.16% |
| mess.iar vs Bryan | 32–42 | 43.24% |
| mess.iar vs Victor | 41–33 | 55.41% |
| mess.iar vs King | 30–43 | 41.10% |
| mess.iar vs Yoshimitsu | 36–28 | 56.25% |
| mess.iar vs Dragunov | 28–34 | 45.16% |
| mess.iar vs Armor King | 26–28 | 48.15% |
| mess.iar vs Law | 28–21 | 57.14% |
| mess.iar vs Asuka | 26–21 | 55.32% |
| mess.iar vs Miary Zo | 19–24 | 44.19% |
| mess.iar vs Lars | 17–23 | 42.50% |
| mess.iar vs Lili | 19–20 | 48.72% |
| mess.iar vs Heihachi | 15–23 | 39.47% |
| mess.iar vs Hwoarang | 15–22 | 40.54% |
| mess.iar vs Reina | 19–16 | 54.29% |
| mess.iar vs Xiaoyu | 9–23 | 28.12% |
| mess.iar vs Alisa | 13–16 | 44.83% |
| mess.iar vs Azucena | 11–18 | 37.93% |
| mess.iar vs Eddy | 8–21 | 27.59% |
| mess.iar vs Fahkumram | 11–14 | 44.00% |
| mess.iar vs Lee | 8–14 | 36.36% |
| mess.iar vs Clive | 9–11 | 45.00% |
| mess.iar vs Paul | 9–10 | 47.37% |
| mess.iar vs Jun | 5–13 | 27.78% |
| mess.iar vs Nina | 8–9 | 47.06% |
| mess.iar vs Devil Jin | 6–10 | 37.50% |
| mess.iar vs Leo | 2–12 | 14.29% |
| mess.iar vs Kuma | 4–10 | 28.57% |
| mess.iar vs Claudio | 2–10 | 16.67% |
| mess.iar vs Lidia | 3–9 | 25.00% |
| mess.iar vs Raven | 5–6 | 45.45% |
| mess.iar vs Feng | 3–7 | 30.00% |
| mess.iar vs Leroy | 4–3 | 57.14% |
| mess.iar vs Shaheen | 4–2 | 66.67% |
| mess.iar vs Panda | 2–3 | 40.00% |
| mess.iar vs Anna | 2–2 | 50.00% |
| mess.iar vs Jack-8 | 1–1 | 50.00% |
| mess.iar vs Zafina | 0–2 | 0.00% |
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.