| EVGKINGOG vs King | 110–182 | 37.67% |
| EVGKINGOG vs Jin | 94–148 | 38.84% |
| EVGKINGOG vs Law | 89–126 | 41.40% |
| EVGKINGOG vs Kazuya | 83–119 | 41.09% |
| EVGKINGOG vs Steve | 77–93 | 45.29% |
| EVGKINGOG vs Reina | 93–77 | 54.71% |
| EVGKINGOG vs Hwoarang | 66–91 | 42.04% |
| EVGKINGOG vs Eddy | 55–87 | 38.73% |
| EVGKINGOG vs Bryan | 58–81 | 41.73% |
| EVGKINGOG vs Azucena | 60–73 | 45.11% |
| EVGKINGOG vs Heihachi | 61–65 | 48.41% |
| EVGKINGOG vs Lili | 45–72 | 38.46% |
| EVGKINGOG vs Yoshimitsu | 51–60 | 45.95% |
| EVGKINGOG vs Dragunov | 39–71 | 35.45% |
| EVGKINGOG vs Paul | 52–54 | 49.06% |
| EVGKINGOG vs Asuka | 43–60 | 41.75% |
| EVGKINGOG vs Jun | 29–70–1 | 29.29% |
| EVGKINGOG vs Lars | 42–51 | 45.16% |
| EVGKINGOG vs Victor | 41–43 | 48.81% |
| EVGKINGOG vs Fahkumram | 44–39 | 53.01% |
| EVGKINGOG vs Lidia | 29–49 | 37.18% |
| EVGKINGOG vs Xiaoyu | 28–49 | 36.36% |
| EVGKINGOG vs Lee | 29–44 | 39.73% |
| EVGKINGOG vs Jack-8 | 29–42 | 40.85% |
| EVGKINGOG vs Nina | 31–31 | 50.00% |
| EVGKINGOG vs Leo | 32–24 | 57.14% |
| EVGKINGOG vs Armor King | 23–32 | 41.82% |
| EVGKINGOG vs Leroy | 25–28 | 47.17% |
| EVGKINGOG vs Raven | 21–27 | 43.75% |
| EVGKINGOG vs Devil Jin | 17–29 | 36.96% |
| EVGKINGOG vs Feng | 13–33 | 28.26% |
| EVGKINGOG vs Alisa | 15–29 | 34.09% |
| EVGKINGOG vs Clive | 19–23 | 45.24% |
| EVGKINGOG vs Zafina | 12–20 | 37.50% |
| EVGKINGOG vs Shaheen | 11–17 | 39.29% |
| EVGKINGOG vs Kuma | 9–19 | 32.14% |
| EVGKINGOG vs Claudio | 7–19 | 26.92% |
| EVGKINGOG vs Anna | 6–12 | 33.33% |
| EVGKINGOG vs Panda | 6–3 | 66.67% |
| EVGKINGOG vs Miary Zo | 1–2 | 33.33% |
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.