| Bone vs Reina | 36–23 | 61.02% |
| Bone vs Steve | 19–26 | 42.22% |
| Bone vs King | 15–25 | 37.50% |
| Bone vs Jin | 21–19 | 52.50% |
| Bone vs Hwoarang | 17–18 | 48.57% |
| Bone vs Dragunov | 15–13 | 53.57% |
| Bone vs Kazuya | 12–15 | 44.44% |
| Bone vs Victor | 12–14 | 46.15% |
| Bone vs Asuka | 14–10 | 58.33% |
| Bone vs Lidia | 12–11 | 52.17% |
| Bone vs Heihachi | 14–8 | 63.64% |
| Bone vs Yoshimitsu | 11–10 | 52.38% |
| Bone vs Jun | 5–16 | 23.81% |
| Bone vs Azucena | 6–15 | 28.57% |
| Bone vs Nina | 4–14 | 22.22% |
| Bone vs Lars | 6–11 | 35.29% |
| Bone vs Leo | 8–8 | 50.00% |
| Bone vs Lili | 6–9 | 40.00% |
| Bone vs Eddy | 2–13 | 13.33% |
| Bone vs Paul | 7–7 | 50.00% |
| Bone vs Bryan | 5–8 | 38.46% |
| Bone vs Clive | 7–6 | 53.85% |
| Bone vs Law | 3–9 | 25.00% |
| Bone vs Alisa | 5–7 | 41.67% |
| Bone vs Armor King | 2–8 | 20.00% |
| Bone vs Feng | 6–3 | 66.67% |
| Bone vs Claudio | 5–4 | 55.56% |
| Bone vs Raven | 7–2 | 77.78% |
| Bone vs Devil Jin | 4–3 | 57.14% |
| Bone vs Jack-8 | 5–1 | 83.33% |
| Bone vs Leroy | 1–5 | 16.67% |
| Bone vs Xiaoyu | 1–4 | 20.00% |
| Bone vs Kuma | 3–2 | 60.00% |
| Bone vs Shaheen | 2–2 | 50.00% |
| Bone vs Lee | 2–2 | 50.00% |
| Bone vs Anna | 0–3 | 0.00% |
| Bone vs Zafina | 1–0 | 100.00% |
| Bone vs Fahkumram | 0–1 | 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.