| Lonewolf vs Jin | 102–94 | 52.04% |
| Lonewolf vs Kazuya | 83–74 | 52.87% |
| Lonewolf vs King | 69–80 | 46.31% |
| Lonewolf vs Dragunov | 58–43 | 57.43% |
| Lonewolf vs Reina | 48–47 | 50.53% |
| Lonewolf vs Bryan | 43–48 | 47.25% |
| Lonewolf vs Steve | 39–37 | 51.32% |
| Lonewolf vs Lars | 29–37 | 43.94% |
| Lonewolf vs Heihachi | 34–32 | 51.52% |
| Lonewolf vs Law | 22–43 | 33.85% |
| Lonewolf vs Clive | 36–29 | 55.38% |
| Lonewolf vs Yoshimitsu | 30–30 | 50.00% |
| Lonewolf vs Victor | 31–29 | 51.67% |
| Lonewolf vs Paul | 21–37 | 36.21% |
| Lonewolf vs Hwoarang | 37–20 | 64.91% |
| Lonewolf vs Lili | 24–32 | 42.86% |
| Lonewolf vs Asuka | 13–35 | 27.08% |
| Lonewolf vs Fahkumram | 24–24 | 50.00% |
| Lonewolf vs Devil Jin | 24–21 | 53.33% |
| Lonewolf vs Jun | 18–25 | 41.86% |
| Lonewolf vs Eddy | 18–24 | 42.86% |
| Lonewolf vs Lee | 16–19 | 45.71% |
| Lonewolf vs Feng | 13–20 | 39.39% |
| Lonewolf vs Xiaoyu | 15–16 | 48.39% |
| Lonewolf vs Alisa | 13–18 | 41.94% |
| Lonewolf vs Leroy | 15–13 | 53.57% |
| Lonewolf vs Claudio | 12–14 | 46.15% |
| Lonewolf vs Lidia | 12–14 | 46.15% |
| Lonewolf vs Miary Zo | 11–15 | 42.31% |
| Lonewolf vs Armor King | 13–8 | 61.90% |
| Lonewolf vs Leo | 7–12 | 36.84% |
| Lonewolf vs Kuma | 8–9 | 47.06% |
| Lonewolf vs Nina | 6–9 | 40.00% |
| Lonewolf vs Azucena | 5–9 | 35.71% |
| Lonewolf vs Raven | 5–9 | 35.71% |
| Lonewolf vs Shaheen | 7–5 | 58.33% |
| Lonewolf vs Zafina | 2–8 | 20.00% |
| Lonewolf vs Anna | 2–5 | 28.57% |
| Lonewolf vs Jack-8 | 2–3 | 40.00% |
| Lonewolf vs Panda | 0–4 | 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.