| Kashi vs Steve | 20–28 | 41.67% |
| Kashi vs Bryan | 16–21 | 43.24% |
| Kashi vs Reina | 22–14 | 61.11% |
| Kashi vs Law | 10–22 | 31.25% |
| Kashi vs Jin | 16–14 | 53.33% |
| Kashi vs Dragunov | 19–10 | 65.52% |
| Kashi vs King | 18–9 | 66.67% |
| Kashi vs Kazuya | 15–11 | 57.69% |
| Kashi vs Lili | 12–12 | 50.00% |
| Kashi vs Lidia | 11–12 | 47.83% |
| Kashi vs Hwoarang | 12–8 | 60.00% |
| Kashi vs Xiaoyu | 8–10 | 44.44% |
| Kashi vs Fahkumram | 8–10 | 44.44% |
| Kashi vs Eddy | 7–10 | 41.18% |
| Kashi vs Paul | 5–11 | 31.25% |
| Kashi vs Asuka | 8–8 | 50.00% |
| Kashi vs Jun | 9–6 | 60.00% |
| Kashi vs Feng | 6–7 | 46.15% |
| Kashi vs Lee | 6–7 | 46.15% |
| Kashi vs Yoshimitsu | 8–3 | 72.73% |
| Kashi vs Victor | 9–2 | 81.82% |
| Kashi vs Leroy | 6–4 | 60.00% |
| Kashi vs Heihachi | 6–4 | 60.00% |
| Kashi vs Leo | 6–3 | 66.67% |
| Kashi vs Anna | 8–1 | 88.89% |
| Kashi vs Jack-8 | 4–4 | 50.00% |
| Kashi vs Lars | 4–4 | 50.00% |
| Kashi vs Azucena | 5–3 | 62.50% |
| Kashi vs Raven | 6–2 | 75.00% |
| Kashi vs Kuma | 4–3 | 57.14% |
| Kashi vs Nina | 3–3 | 50.00% |
| Kashi vs Miary Zo | 5–1 | 83.33% |
| Kashi vs Devil Jin | 1–4 | 20.00% |
| Kashi vs Alisa | 3–2 | 60.00% |
| Kashi vs Clive | 4–1 | 80.00% |
| Kashi vs Armor King | 2–3 | 40.00% |
| Kashi vs Shaheen | 0–4 | 0.00% |
| Kashi vs Claudio | 3–0 | 100.00% |
| Kashi vs Panda | 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.