| iBxL vs Kazuya | 62–40 | 60.78% |
| iBxL vs Jin | 51–38 | 57.30% |
| iBxL vs King | 24–30 | 44.44% |
| iBxL vs Hwoarang | 32–18 | 64.00% |
| iBxL vs Fahkumram | 33–13 | 71.74% |
| iBxL vs Steve | 26–19 | 57.78% |
| iBxL vs Dragunov | 27–14 | 65.85% |
| iBxL vs Law | 16–24 | 40.00% |
| iBxL vs Bryan | 27–13 | 67.50% |
| iBxL vs Anna | 19–16 | 54.29% |
| iBxL vs Heihachi | 19–13 | 59.38% |
| iBxL vs Devil Jin | 13–17 | 43.33% |
| iBxL vs Reina | 19–10 | 65.52% |
| iBxL vs Yoshimitsu | 21–7 | 75.00% |
| iBxL vs Feng | 15–10 | 60.00% |
| iBxL vs Jack-8 | 16–7 | 69.57% |
| iBxL vs Lee | 9–14 | 39.13% |
| iBxL vs Nina | 12–10 | 54.55% |
| iBxL vs Lili | 10–11 | 47.62% |
| iBxL vs Armor King | 7–14 | 33.33% |
| iBxL vs Jun | 8–12 | 40.00% |
| iBxL vs Paul | 9–10 | 47.37% |
| iBxL vs Asuka | 12–7 | 63.16% |
| iBxL vs Lars | 8–7 | 53.33% |
| iBxL vs Alisa | 7–8 | 46.67% |
| iBxL vs Azucena | 8–6 | 57.14% |
| iBxL vs Xiaoyu | 9–3 | 75.00% |
| iBxL vs Leo | 5–6 | 45.45% |
| iBxL vs Leroy | 2–9 | 18.18% |
| iBxL vs Clive | 6–4 | 60.00% |
| iBxL vs Victor | 5–3 | 62.50% |
| iBxL vs Eddy | 6–2 | 75.00% |
| iBxL vs Lidia | 0–8 | 0.00% |
| iBxL vs Shaheen | 5–2 | 71.43% |
| iBxL vs Claudio | 6–0 | 100.00% |
| iBxL vs Kuma | 6–0 | 100.00% |
| iBxL vs Zafina | 6–0 | 100.00% |
| iBxL vs Miary Zo | 0–5 | 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.