| Gmcginty vs Jin | 61–67 | 47.66% |
| Gmcginty vs Kazuya | 65–63 | 50.78% |
| Gmcginty vs Reina | 51–49 | 51.00% |
| Gmcginty vs Bryan | 36–49 | 42.35% |
| Gmcginty vs King | 35–47 | 42.68% |
| Gmcginty vs Hwoarang | 38–38 | 50.00% |
| Gmcginty vs Armor King | 38–35 | 52.05% |
| Gmcginty vs Heihachi | 38–32 | 54.29% |
| Gmcginty vs Steve | 27–39 | 40.91% |
| Gmcginty vs Paul | 25–31 | 44.64% |
| Gmcginty vs Dragunov | 23–33 | 41.07% |
| Gmcginty vs Yoshimitsu | 29–20 | 59.18% |
| Gmcginty vs Law | 20–25 | 44.44% |
| Gmcginty vs Devil Jin | 16–26 | 38.10% |
| Gmcginty vs Azucena | 25–15 | 62.50% |
| Gmcginty vs Lee | 21–17 | 55.26% |
| Gmcginty vs Jun | 16–20 | 44.44% |
| Gmcginty vs Lili | 14–20 | 41.18% |
| Gmcginty vs Nina | 16–17 | 48.48% |
| Gmcginty vs Xiaoyu | 12–18 | 40.00% |
| Gmcginty vs Fahkumram | 17–13 | 56.67% |
| Gmcginty vs Victor | 12–15 | 44.44% |
| Gmcginty vs Asuka | 11–15 | 42.31% |
| Gmcginty vs Raven | 16–10 | 61.54% |
| Gmcginty vs Anna | 13–13 | 50.00% |
| Gmcginty vs Eddy | 9–16 | 36.00% |
| Gmcginty vs Alisa | 13–9 | 59.09% |
| Gmcginty vs Clive | 8–13 | 38.10% |
| Gmcginty vs Leo | 11–8 | 57.89% |
| Gmcginty vs Lars | 10–6 | 62.50% |
| Gmcginty vs Jack-8 | 7–7 | 50.00% |
| Gmcginty vs Feng | 3–10 | 23.08% |
| Gmcginty vs Kuma | 9–2 | 81.82% |
| Gmcginty vs Leroy | 2–9 | 18.18% |
| Gmcginty vs Miary Zo | 2–9 | 18.18% |
| Gmcginty vs Claudio | 1–8 | 11.11% |
| Gmcginty vs Shaheen | 4–5 | 44.44% |
| Gmcginty vs Lidia | 6–3 | 66.67% |
| Gmcginty vs Zafina | 2–5 | 28.57% |
| Gmcginty vs Panda | 0–2 | 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.