| kabligablonk vs Steve | 7–8 | 46.67% |
| kabligablonk vs Lili | 4–11 | 26.67% |
| kabligablonk vs Reina | 6–9 | 40.00% |
| kabligablonk vs King | 8–6 | 57.14% |
| kabligablonk vs Hwoarang | 7–6 | 53.85% |
| kabligablonk vs Dragunov | 2–9 | 18.18% |
| kabligablonk vs Alisa | 7–4 | 63.64% |
| kabligablonk vs Yoshimitsu | 5–4 | 55.56% |
| kabligablonk vs Claudio | 1–7 | 12.50% |
| kabligablonk vs Bryan | 2–5 | 28.57% |
| kabligablonk vs Kazuya | 2–5 | 28.57% |
| kabligablonk vs Jun | 6–1 | 85.71% |
| kabligablonk vs Fahkumram | 4–3 | 57.14% |
| kabligablonk vs Jin | 4–2 | 66.67% |
| kabligablonk vs Asuka | 3–3 | 50.00% |
| kabligablonk vs Lars | 1–5 | 16.67% |
| kabligablonk vs Law | 1–4 | 20.00% |
| kabligablonk vs Victor | 0–4 | 0.00% |
| kabligablonk vs Eddy | 1–3 | 25.00% |
| kabligablonk vs Heihachi | 1–3 | 25.00% |
| kabligablonk vs Lee | 1–2 | 33.33% |
| kabligablonk vs Azucena | 2–1 | 66.67% |
| kabligablonk vs Raven | 2–1 | 66.67% |
| kabligablonk vs Paul | 2–0 | 100.00% |
| kabligablonk vs Xiaoyu | 2–0 | 100.00% |
| kabligablonk vs Leo | 2–0 | 100.00% |
| kabligablonk vs Kuma | 0–2 | 0.00% |
| kabligablonk vs Clive | 0–2 | 0.00% |
| kabligablonk vs Anna | 0–2 | 0.00% |
| kabligablonk vs Miary Zo | 2–0 | 100.00% |
| kabligablonk vs Devil Jin | 1–0 | 100.00% |
| kabligablonk vs Feng | 1–0 | 100.00% |
| kabligablonk vs Nina | 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.