| McGang vs King | 205–212 | 49.16% |
| McGang vs Kazuya | 178–206 | 46.35% |
| McGang vs Jin | 194–189 | 50.65% |
| McGang vs Hwoarang | 206–162 | 55.98% |
| McGang vs Bryan | 185–164 | 53.01% |
| McGang vs Steve | 185–146 | 55.89% |
| McGang vs Law | 154–168 | 47.83% |
| McGang vs Paul | 157–153 | 50.65% |
| McGang vs Reina | 160–148 | 51.95% |
| McGang vs Lee | 126–157 | 44.52% |
| McGang vs Heihachi | 149–131 | 53.21% |
| McGang vs Yoshimitsu | 111–138 | 44.58% |
| McGang vs Azucena | 97–134 | 41.99% |
| McGang vs Jun | 102–108 | 48.57% |
| McGang vs Fahkumram | 105–103 | 50.48% |
| McGang vs Lili | 89–113 | 44.06% |
| McGang vs Dragunov | 86–114 | 43.00% |
| McGang vs Armor King | 98–101 | 49.25% |
| McGang vs Lars | 90–105 | 46.15% |
| McGang vs Asuka | 75–104 | 41.90% |
| McGang vs Feng | 84–94 | 47.19% |
| McGang vs Devil Jin | 84–92 | 47.73% |
| McGang vs Victor | 90–84 | 51.72% |
| McGang vs Raven | 97–70 | 58.08% |
| McGang vs Xiaoyu | 70–96 | 42.17% |
| McGang vs Leroy | 61–79 | 43.57% |
| McGang vs Eddy | 49–83 | 37.12% |
| McGang vs Leo | 48–81 | 37.21% |
| McGang vs Nina | 46–83 | 35.66% |
| McGang vs Jack-8 | 62–55 | 52.99% |
| McGang vs Alisa | 55–61 | 47.41% |
| McGang vs Lidia | 65–44 | 59.63% |
| McGang vs Zafina | 40–49 | 44.94% |
| McGang vs Shaheen | 44–37 | 54.32% |
| McGang vs Claudio | 32–48 | 40.00% |
| McGang vs Anna | 29–46 | 38.67% |
| McGang vs Clive | 29–33 | 46.77% |
| McGang vs Kuma | 16–41 | 28.07% |
| McGang vs Panda | 5–17 | 22.73% |
| McGang vs Miary Zo | 4–14 | 22.22% |
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.