| McKofo vs Kazuya | 14–46 | 23.33% |
| McKofo vs King | 24–35 | 40.68% |
| McKofo vs Reina | 28–19 | 59.57% |
| McKofo vs Dragunov | 17–27 | 38.64% |
| McKofo vs Lidia | 13–29 | 30.95% |
| McKofo vs Lili | 18–21 | 46.15% |
| McKofo vs Steve | 11–26 | 29.73% |
| McKofo vs Jin | 22–14 | 61.11% |
| McKofo vs Bryan | 14–22 | 38.89% |
| McKofo vs Asuka | 13–23 | 36.11% |
| McKofo vs Hwoarang | 19–15 | 55.88% |
| McKofo vs Law | 13–17 | 43.33% |
| McKofo vs Eddy | 13–12 | 52.00% |
| McKofo vs Yoshimitsu | 9–15 | 37.50% |
| McKofo vs Victor | 8–10 | 44.44% |
| McKofo vs Jun | 8–9 | 47.06% |
| McKofo vs Nina | 9–7 | 56.25% |
| McKofo vs Fahkumram | 8–8 | 50.00% |
| McKofo vs Claudio | 5–10 | 33.33% |
| McKofo vs Paul | 7–7 | 50.00% |
| McKofo vs Devil Jin | 7–7 | 50.00% |
| McKofo vs Alisa | 6–7 | 46.15% |
| McKofo vs Lee | 7–6 | 53.85% |
| McKofo vs Azucena | 7–5 | 58.33% |
| McKofo vs Leo | 7–4 | 63.64% |
| McKofo vs Lars | 6–5 | 54.55% |
| McKofo vs Raven | 7–4 | 63.64% |
| McKofo vs Leroy | 3–7 | 30.00% |
| McKofo vs Feng | 0–9 | 0.00% |
| McKofo vs Shaheen | 2–6 | 25.00% |
| McKofo vs Heihachi | 3–4 | 42.86% |
| McKofo vs Xiaoyu | 3–3 | 50.00% |
| McKofo vs Panda | 1–5 | 16.67% |
| McKofo vs Anna | 4–2 | 66.67% |
| McKofo vs Jack-8 | 1–4 | 20.00% |
| McKofo vs Zafina | 1–4 | 20.00% |
| McKofo vs Kuma | 2–2 | 50.00% |
| McKofo vs Clive | 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.