| HelloWorld vs Kazuya | 58–28 | 67.44% |
| HelloWorld vs Jin | 46–37 | 55.42% |
| HelloWorld vs Steve | 54–26 | 67.50% |
| HelloWorld vs King | 42–30 | 58.33% |
| HelloWorld vs Reina | 40–31 | 56.34% |
| HelloWorld vs Dragunov | 34–36 | 48.57% |
| HelloWorld vs Bryan | 45–19 | 70.31% |
| HelloWorld vs Yoshimitsu | 20–30 | 40.00% |
| HelloWorld vs Asuka | 20–22 | 47.62% |
| HelloWorld vs Devil Jin | 25–15 | 62.50% |
| HelloWorld vs Lili | 18–22 | 45.00% |
| HelloWorld vs Hwoarang | 22–17 | 56.41% |
| HelloWorld vs Lars | 17–20 | 45.95% |
| HelloWorld vs Clive | 21–12 | 63.64% |
| HelloWorld vs Law | 14–18 | 43.75% |
| HelloWorld vs Lee | 15–16 | 48.39% |
| HelloWorld vs Alisa | 10–20 | 33.33% |
| HelloWorld vs Victor | 17–12 | 58.62% |
| HelloWorld vs Claudio | 11–17 | 39.29% |
| HelloWorld vs Jun | 15–12 | 55.56% |
| HelloWorld vs Azucena | 14–12 | 53.85% |
| HelloWorld vs Heihachi | 13–11 | 54.17% |
| HelloWorld vs Fahkumram | 14–10 | 58.33% |
| HelloWorld vs Leo | 10–11 | 47.62% |
| HelloWorld vs Armor King | 7–13 | 35.00% |
| HelloWorld vs Paul | 9–9 | 50.00% |
| HelloWorld vs Eddy | 9–8 | 52.94% |
| HelloWorld vs Feng | 7–8 | 46.67% |
| HelloWorld vs Nina | 8–6 | 57.14% |
| HelloWorld vs Leroy | 6–6 | 50.00% |
| HelloWorld vs Lidia | 7–3 | 70.00% |
| HelloWorld vs Shaheen | 5–3–1 | 62.50% |
| HelloWorld vs Xiaoyu | 5–3 | 62.50% |
| HelloWorld vs Zafina | 2–6 | 25.00% |
| HelloWorld vs Anna | 4–4 | 50.00% |
| HelloWorld vs Kuma | 3–4 | 42.86% |
| HelloWorld vs Miary Zo | 4–2 | 66.67% |
| HelloWorld vs Panda | 1–2 | 33.33% |
| HelloWorld vs Raven | 1–2 | 33.33% |
| HelloWorld vs Jack-8 | 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.