| I_MSL vs Kazuya | 34–28 | 54.84% |
| I_MSL vs Jin | 33–20 | 62.26% |
| I_MSL vs Heihachi | 26–25 | 50.98% |
| I_MSL vs King | 26–22 | 54.17% |
| I_MSL vs Dragunov | 23–18 | 56.10% |
| I_MSL vs Law | 14–19 | 42.42% |
| I_MSL vs Steve | 20–13 | 60.61% |
| I_MSL vs Bryan | 13–18 | 41.94% |
| I_MSL vs Paul | 14–14 | 50.00% |
| I_MSL vs Yoshimitsu | 11–12 | 47.83% |
| I_MSL vs Devil Jin | 10–13 | 43.48% |
| I_MSL vs Hwoarang | 11–9 | 55.00% |
| I_MSL vs Eddy | 7–12 | 36.84% |
| I_MSL vs Nina | 7–8 | 46.67% |
| I_MSL vs Alisa | 8–6 | 57.14% |
| I_MSL vs Reina | 9–5 | 64.29% |
| I_MSL vs Feng | 7–6 | 53.85% |
| I_MSL vs Azucena | 6–6 | 50.00% |
| I_MSL vs Victor | 6–5 | 54.55% |
| I_MSL vs Jack-8 | 5–5 | 50.00% |
| I_MSL vs Claudio | 6–4 | 60.00% |
| I_MSL vs Jun | 5–5 | 50.00% |
| I_MSL vs Asuka | 5–4 | 55.56% |
| I_MSL vs Lidia | 5–3 | 62.50% |
| I_MSL vs Lee | 4–3 | 57.14% |
| I_MSL vs Leroy | 3–3 | 50.00% |
| I_MSL vs Clive | 4–2 | 66.67% |
| I_MSL vs Xiaoyu | 2–2 | 50.00% |
| I_MSL vs Raven | 4–0 | 100.00% |
| I_MSL vs Anna | 2–2 | 50.00% |
| I_MSL vs Leo | 1–2 | 33.33% |
| I_MSL vs Lili | 2–0 | 100.00% |
| I_MSL vs Shaheen | 2–0 | 100.00% |
| I_MSL vs Lars | 1–0 | 100.00% |
| I_MSL vs Kuma | 1–0 | 100.00% |
| I_MSL vs Zafina | 1–0 | 100.00% |
| I_MSL vs Fahkumram | 1–0 | 100.00% |
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.