| BONES GNAW vs Steve | 18–14 | 56.25% |
| BONES GNAW vs Kazuya | 15–10 | 60.00% |
| BONES GNAW vs Paul | 16–8 | 66.67% |
| BONES GNAW vs King | 15–8 | 65.22% |
| BONES GNAW vs Jin | 12–11 | 52.17% |
| BONES GNAW vs Bryan | 16–7 | 69.57% |
| BONES GNAW vs Hwoarang | 14–8 | 63.64% |
| BONES GNAW vs Lee | 13–8 | 61.90% |
| BONES GNAW vs Heihachi | 11–10 | 52.38% |
| BONES GNAW vs Reina | 11–9 | 55.00% |
| BONES GNAW vs Victor | 13–6 | 68.42% |
| BONES GNAW vs Dragunov | 8–10 | 44.44% |
| BONES GNAW vs Law | 12–3 | 80.00% |
| BONES GNAW vs Zafina | 10–5 | 66.67% |
| BONES GNAW vs Raven | 10–5 | 66.67% |
| BONES GNAW vs Yoshimitsu | 10–4 | 71.43% |
| BONES GNAW vs Lili | 11–3 | 78.57% |
| BONES GNAW vs Asuka | 7–6 | 53.85% |
| BONES GNAW vs Devil Jin | 8–5 | 61.54% |
| BONES GNAW vs Nina | 10–3 | 76.92% |
| BONES GNAW vs Xiaoyu | 10–1 | 90.91% |
| BONES GNAW vs Leo | 7–4 | 63.64% |
| BONES GNAW vs Claudio | 9–2 | 81.82% |
| BONES GNAW vs Lars | 6–4 | 60.00% |
| BONES GNAW vs Azucena | 7–3 | 70.00% |
| BONES GNAW vs Eddy | 8–2 | 80.00% |
| BONES GNAW vs Anna | 6–4 | 60.00% |
| BONES GNAW vs Feng | 4–5 | 44.44% |
| BONES GNAW vs Kuma | 4–5 | 44.44% |
| BONES GNAW vs Jack-8 | 4–4 | 50.00% |
| BONES GNAW vs Leroy | 5–3 | 62.50% |
| BONES GNAW vs Fahkumram | 5–3 | 62.50% |
| BONES GNAW vs Alisa | 6–1 | 85.71% |
| BONES GNAW vs Lidia | 2–4 | 33.33% |
| BONES GNAW vs Clive | 3–3 | 50.00% |
| BONES GNAW vs Jun | 4–1 | 80.00% |
| BONES GNAW vs Shaheen | 2–1 | 66.67% |
| BONES GNAW vs Panda | 0–2 | 0.00% |
| BONES GNAW vs Armor King | 1–0 | 100.00% |
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.