| KillerG vs Kazuya | 136–158 | 46.26% |
| KillerG vs King | 86–125 | 40.76% |
| KillerG vs Jin | 95–116 | 45.02% |
| KillerG vs Steve | 67–102 | 39.64% |
| KillerG vs Law | 56–94 | 37.33% |
| KillerG vs Bryan | 45–82 | 35.43% |
| KillerG vs Heihachi | 49–57 | 46.23% |
| KillerG vs Armor King | 45–51 | 46.88% |
| KillerG vs Dragunov | 33–58 | 36.26% |
| KillerG vs Hwoarang | 34–52 | 39.53% |
| KillerG vs Paul | 25–35 | 41.67% |
| KillerG vs Azucena | 23–36 | 38.98% |
| KillerG vs Reina | 30–27 | 52.63% |
| KillerG vs Lars | 17–38 | 30.91% |
| KillerG vs Yoshimitsu | 12–38 | 24.00% |
| KillerG vs Lee | 20–30 | 40.00% |
| KillerG vs Jun | 21–26 | 44.68% |
| KillerG vs Nina | 13–33 | 28.26% |
| KillerG vs Eddy | 7–37 | 15.91% |
| KillerG vs Lili | 11–32 | 25.58% |
| KillerG vs Victor | 15–26 | 36.59% |
| KillerG vs Miary Zo | 17–23 | 42.50% |
| KillerG vs Anna | 16–17 | 48.48% |
| KillerG vs Asuka | 13–17 | 43.33% |
| KillerG vs Fahkumram | 10–18 | 35.71% |
| KillerG vs Shaheen | 7–20 | 25.93% |
| KillerG vs Clive | 11–16 | 40.74% |
| KillerG vs Devil Jin | 5–20 | 20.00% |
| KillerG vs Lidia | 6–17 | 26.09% |
| KillerG vs Raven | 8–12 | 40.00% |
| KillerG vs Feng | 6–13 | 31.58% |
| KillerG vs Alisa | 7–12 | 36.84% |
| KillerG vs Jack-8 | 3–14 | 17.65% |
| KillerG vs Kuma | 11–6 | 64.71% |
| KillerG vs Leroy | 4–8 | 33.33% |
| KillerG vs Leo | 2–8 | 20.00% |
| KillerG vs Claudio | 5–3 | 62.50% |
| KillerG vs Xiaoyu | 2–5 | 28.57% |
| KillerG vs Panda | 2–3 | 40.00% |
| KillerG vs Zafina | 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.