| Gumshoe vs Steve | 72–39 | 64.86% |
| Gumshoe vs Yoshimitsu | 59–43 | 57.84% |
| Gumshoe vs Bryan | 51–48 | 51.52% |
| Gumshoe vs Dragunov | 44–46 | 48.89% |
| Gumshoe vs Feng | 53–36 | 59.55% |
| Gumshoe vs King | 38–47 | 44.71% |
| Gumshoe vs Jin | 44–32 | 57.89% |
| Gumshoe vs Paul | 36–29 | 55.38% |
| Gumshoe vs Lars | 26–37 | 41.27% |
| Gumshoe vs Hwoarang | 27–34 | 44.26% |
| Gumshoe vs Kazuya | 28–33 | 45.90% |
| Gumshoe vs Reina | 25–31 | 44.64% |
| Gumshoe vs Jack-8 | 34–21 | 61.82% |
| Gumshoe vs Lee | 33–21 | 61.11% |
| Gumshoe vs Leo | 23–26 | 46.94% |
| Gumshoe vs Azucena | 21–26 | 44.68% |
| Gumshoe vs Xiaoyu | 26–18 | 59.09% |
| Gumshoe vs Lili | 18–26 | 40.91% |
| Gumshoe vs Victor | 20–20 | 50.00% |
| Gumshoe vs Law | 20–18 | 52.63% |
| Gumshoe vs Asuka | 24–10 | 70.59% |
| Gumshoe vs Jun | 14–19 | 42.42% |
| Gumshoe vs Claudio | 18–14 | 56.25% |
| Gumshoe vs Devil Jin | 15–16 | 48.39% |
| Gumshoe vs Shaheen | 12–15 | 44.44% |
| Gumshoe vs Zafina | 10–16 | 38.46% |
| Gumshoe vs Kuma | 11–13 | 45.83% |
| Gumshoe vs Nina | 9–13 | 40.91% |
| Gumshoe vs Panda | 15–6 | 71.43% |
| Gumshoe vs Eddy | 11–10 | 52.38% |
| Gumshoe vs Alisa | 7–12 | 36.84% |
| Gumshoe vs Raven | 8–11 | 42.11% |
| Gumshoe vs Leroy | 6–12 | 33.33% |
| Gumshoe vs Heihachi | 8–5 | 61.54% |
| Gumshoe vs Clive | 2–8 | 20.00% |
| Gumshoe vs Lidia | 4–0 | 100.00% |
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.