| Garciansmith_K7 vs King | 66–61 | 51.97% |
| Garciansmith_K7 vs Kazuya | 66–58 | 53.23% |
| Garciansmith_K7 vs Jin | 54–64 | 45.76% |
| Garciansmith_K7 vs Hwoarang | 49–46 | 51.58% |
| Garciansmith_K7 vs Steve | 46–44 | 51.11% |
| Garciansmith_K7 vs Bryan | 55–34 | 61.80% |
| Garciansmith_K7 vs Reina | 34–54 | 38.64% |
| Garciansmith_K7 vs Lili | 43–38 | 53.09% |
| Garciansmith_K7 vs Law | 34–30 | 53.12% |
| Garciansmith_K7 vs Yoshimitsu | 29–29 | 50.00% |
| Garciansmith_K7 vs Dragunov | 27–27 | 50.00% |
| Garciansmith_K7 vs Jun | 24–30 | 44.44% |
| Garciansmith_K7 vs Lidia | 25–24 | 51.02% |
| Garciansmith_K7 vs Asuka | 21–24 | 46.67% |
| Garciansmith_K7 vs Azucena | 19–25 | 43.18% |
| Garciansmith_K7 vs Paul | 22–19 | 53.66% |
| Garciansmith_K7 vs Lee | 18–18 | 50.00% |
| Garciansmith_K7 vs Nina | 18–17 | 51.43% |
| Garciansmith_K7 vs Xiaoyu | 18–16 | 52.94% |
| Garciansmith_K7 vs Leroy | 16–17 | 48.48% |
| Garciansmith_K7 vs Alisa | 19–13 | 59.38% |
| Garciansmith_K7 vs Victor | 10–21 | 32.26% |
| Garciansmith_K7 vs Lars | 9–21 | 30.00% |
| Garciansmith_K7 vs Devil Jin | 19–10 | 65.52% |
| Garciansmith_K7 vs Eddy | 16–13 | 55.17% |
| Garciansmith_K7 vs Feng | 15–12 | 55.56% |
| Garciansmith_K7 vs Kuma | 8–19 | 29.63% |
| Garciansmith_K7 vs Leo | 10–15 | 40.00% |
| Garciansmith_K7 vs Claudio | 13–12 | 52.00% |
| Garciansmith_K7 vs Shaheen | 11–11 | 50.00% |
| Garciansmith_K7 vs Raven | 5–16 | 23.81% |
| Garciansmith_K7 vs Zafina | 4–13 | 23.53% |
| Garciansmith_K7 vs Jack-8 | 3–5 | 37.50% |
| Garciansmith_K7 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.