| McdonldWifi vs Steve | 8–16 | 33.33% |
| McdonldWifi vs Yoshimitsu | 11–10 | 52.38% |
| McdonldWifi vs Reina | 9–10 | 47.37% |
| McdonldWifi vs Clive | 6–13 | 31.58% |
| McdonldWifi vs Paul | 12–6 | 66.67% |
| McdonldWifi vs Jin | 5–12 | 29.41% |
| McdonldWifi vs King | 6–7 | 46.15% |
| McdonldWifi vs Bryan | 4–8 | 33.33% |
| McdonldWifi vs Eddy | 7–5 | 58.33% |
| McdonldWifi vs Kazuya | 2–9 | 18.18% |
| McdonldWifi vs Jun | 1–10 | 9.09% |
| McdonldWifi vs Nina | 3–6 | 33.33% |
| McdonldWifi vs Lars | 0–8 | 0.00% |
| McdonldWifi vs Victor | 6–2 | 75.00% |
| McdonldWifi vs Xiaoyu | 1–6 | 14.29% |
| McdonldWifi vs Alisa | 2–5 | 28.57% |
| McdonldWifi vs Devil Jin | 3–3 | 50.00% |
| McdonldWifi vs Leroy | 2–4 | 33.33% |
| McdonldWifi vs Raven | 3–3 | 50.00% |
| McdonldWifi vs Lidia | 1–5 | 16.67% |
| McdonldWifi vs Heihachi | 1–5 | 16.67% |
| McdonldWifi vs Law | 0–5 | 0.00% |
| McdonldWifi vs Asuka | 0–5 | 0.00% |
| McdonldWifi vs Lili | 2–2–1 | 50.00% |
| McdonldWifi vs Shaheen | 1–4 | 20.00% |
| McdonldWifi vs Azucena | 1–4 | 20.00% |
| McdonldWifi vs Hwoarang | 1–3 | 25.00% |
| McdonldWifi vs Feng | 0–4 | 0.00% |
| McdonldWifi vs Leo | 0–4 | 0.00% |
| McdonldWifi vs Dragunov | 0–3 | 0.00% |
| McdonldWifi vs Claudio | 0–2 | 0.00% |
| McdonldWifi vs Armor King | 2–0 | 100.00% |
| McdonldWifi vs Zafina | 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.