| SLB_om vs Steve | 20–24 | 45.45% |
| SLB_om vs Bryan | 15–20 | 42.86% |
| SLB_om vs Hwoarang | 18–14 | 56.25% |
| SLB_om vs Jin | 20–12 | 62.50% |
| SLB_om vs King | 17–13 | 56.67% |
| SLB_om vs Kazuya | 16–12 | 57.14% |
| SLB_om vs Law | 17–8 | 68.00% |
| SLB_om vs Armor King | 12–13 | 48.00% |
| SLB_om vs Miary Zo | 15–10 | 60.00% |
| SLB_om vs Reina | 10–12 | 45.45% |
| SLB_om vs Heihachi | 8–12 | 40.00% |
| SLB_om vs Asuka | 8–9 | 47.06% |
| SLB_om vs Dragunov | 8–9 | 47.06% |
| SLB_om vs Fahkumram | 8–9 | 47.06% |
| SLB_om vs Yoshimitsu | 7–9 | 43.75% |
| SLB_om vs Eddy | 7–9 | 43.75% |
| SLB_om vs Jun | 8–6 | 57.14% |
| SLB_om vs Devil Jin | 7–6 | 53.85% |
| SLB_om vs Lars | 8–5 | 61.54% |
| SLB_om vs Azucena | 9–4 | 69.23% |
| SLB_om vs Feng | 7–5 | 58.33% |
| SLB_om vs Clive | 4–7 | 36.36% |
| SLB_om vs Jack-8 | 6–4 | 60.00% |
| SLB_om vs Lili | 2–8 | 20.00% |
| SLB_om vs Lidia | 4–6 | 40.00% |
| SLB_om vs Xiaoyu | 4–4 | 50.00% |
| SLB_om vs Leo | 6–2 | 75.00% |
| SLB_om vs Paul | 4–3 | 57.14% |
| SLB_om vs Nina | 5–2 | 71.43% |
| SLB_om vs Alisa | 4–2 | 66.67% |
| SLB_om vs Victor | 3–3 | 50.00% |
| SLB_om vs Kuma | 2–3 | 40.00% |
| SLB_om vs Anna | 2–3 | 40.00% |
| SLB_om vs Zafina | 1–3 | 25.00% |
| SLB_om vs Raven | 4–0 | 100.00% |
| SLB_om vs Shaheen | 2–1 | 66.67% |
| SLB_om vs Lee | 0–2 | 0.00% |
| SLB_om vs Claudio | 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.