| HLF_TG vs King | 30–49 | 37.97% |
| HLF_TG vs Steve | 31–41 | 43.06% |
| HLF_TG vs Jin | 24–41 | 36.92% |
| HLF_TG vs Hwoarang | 8–52 | 13.33% |
| HLF_TG vs Reina | 30–24 | 55.56% |
| HLF_TG vs Law | 24–29 | 45.28% |
| HLF_TG vs Kazuya | 16–34 | 32.00% |
| HLF_TG vs Bryan | 16–26 | 38.10% |
| HLF_TG vs Heihachi | 11–31 | 26.19% |
| HLF_TG vs Dragunov | 9–29 | 23.68% |
| HLF_TG vs Jun | 12–24 | 33.33% |
| HLF_TG vs Lili | 15–17 | 46.88% |
| HLF_TG vs Yoshimitsu | 8–18 | 30.77% |
| HLF_TG vs Claudio | 13–12 | 52.00% |
| HLF_TG vs Lidia | 8–17 | 32.00% |
| HLF_TG vs Azucena | 7–17 | 29.17% |
| HLF_TG vs Anna | 6–18 | 25.00% |
| HLF_TG vs Asuka | 7–12 | 36.84% |
| HLF_TG vs Lars | 7–12 | 36.84% |
| HLF_TG vs Leroy | 7–8 | 46.67% |
| HLF_TG vs Eddy | 2–13 | 13.33% |
| HLF_TG vs Lee | 5–9 | 35.71% |
| HLF_TG vs Fahkumram | 1–13 | 7.14% |
| HLF_TG vs Clive | 2–11 | 15.38% |
| HLF_TG vs Devil Jin | 3–9 | 25.00% |
| HLF_TG vs Alisa | 2–10 | 16.67% |
| HLF_TG vs Paul | 4–7 | 36.36% |
| HLF_TG vs Xiaoyu | 4–5 | 44.44% |
| HLF_TG vs Jack-8 | 1–7 | 12.50% |
| HLF_TG vs Feng | 2–6 | 25.00% |
| HLF_TG vs Leo | 3–5 | 37.50% |
| HLF_TG vs Nina | 2–6 | 25.00% |
| HLF_TG vs Victor | 2–6 | 25.00% |
| HLF_TG vs Kuma | 0–7 | 0.00% |
| HLF_TG vs Raven | 2–4 | 33.33% |
| HLF_TG vs Panda | 4–1 | 80.00% |
| HLF_TG vs Shaheen | 0–4 | 0.00% |
| HLF_TG vs Zafina | 2–1 | 66.67% |
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.