| m3linoe vs King | 40–45 | 47.06% |
| m3linoe vs Steve | 22–54 | 28.95% |
| m3linoe vs Kazuya | 17–42 | 28.81% |
| m3linoe vs Dragunov | 21–38 | 35.59% |
| m3linoe vs Jin | 12–45 | 21.05% |
| m3linoe vs Lili | 13–41 | 24.07% |
| m3linoe vs Bryan | 13–40 | 24.53% |
| m3linoe vs Law | 15–30 | 33.33% |
| m3linoe vs Hwoarang | 23–22 | 51.11% |
| m3linoe vs Reina | 16–29 | 35.56% |
| m3linoe vs Yoshimitsu | 22–21 | 51.16% |
| m3linoe vs Heihachi | 8–28 | 22.22% |
| m3linoe vs Azucena | 18–16 | 52.94% |
| m3linoe vs Eddy | 12–22 | 35.29% |
| m3linoe vs Anna | 8–20 | 28.57% |
| m3linoe vs Asuka | 11–14 | 44.00% |
| m3linoe vs Armor King | 2–22 | 8.33% |
| m3linoe vs Paul | 7–15 | 31.82% |
| m3linoe vs Lee | 7–14 | 33.33% |
| m3linoe vs Jun | 5–16 | 23.81% |
| m3linoe vs Clive | 7–13 | 35.00% |
| m3linoe vs Nina | 5–13 | 27.78% |
| m3linoe vs Lars | 4–13 | 23.53% |
| m3linoe vs Lidia | 7–10 | 41.18% |
| m3linoe vs Devil Jin | 7–9 | 43.75% |
| m3linoe vs Alisa | 8–6 | 57.14% |
| m3linoe vs Xiaoyu | 6–7 | 46.15% |
| m3linoe vs Raven | 0–13 | 0.00% |
| m3linoe vs Victor | 4–8 | 33.33% |
| m3linoe vs Miary Zo | 3–7 | 30.00% |
| m3linoe vs Fahkumram | 3–6 | 33.33% |
| m3linoe vs Claudio | 5–3 | 62.50% |
| m3linoe vs Leroy | 3–5 | 37.50% |
| m3linoe vs Kuma | 2–5 | 28.57% |
| m3linoe vs Leo | 1–4 | 20.00% |
| m3linoe vs Zafina | 2–3 | 40.00% |
| m3linoe vs Jack-8 | 0–2 | 0.00% |
| m3linoe vs Panda | 0–2 | 0.00% |
| m3linoe vs Feng | 1–0 | 100.00% |
| m3linoe vs Shaheen | 0–1 | 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.