| TikTok:Khi.Zhir vs King | 15–4 | 78.95% |
| TikTok:Khi.Zhir vs Law | 10–3 | 76.92% |
| TikTok:Khi.Zhir vs Claudio | 5–3 | 62.50% |
| TikTok:Khi.Zhir vs Eddy | 5–3 | 62.50% |
| TikTok:Khi.Zhir vs Lili | 4–3 | 57.14% |
| TikTok:Khi.Zhir vs Anna | 4–3 | 57.14% |
| TikTok:Khi.Zhir vs Hwoarang | 4–1 | 80.00% |
| TikTok:Khi.Zhir vs Jun | 3–2 | 60.00% |
| TikTok:Khi.Zhir vs Jin | 4–0 | 100.00% |
| TikTok:Khi.Zhir vs Kazuya | 4–0 | 100.00% |
| TikTok:Khi.Zhir vs Steve | 3–1 | 75.00% |
| TikTok:Khi.Zhir vs Leo | 4–0 | 100.00% |
| TikTok:Khi.Zhir vs Lee | 2–2 | 50.00% |
| TikTok:Khi.Zhir vs Paul | 2–1 | 66.67% |
| TikTok:Khi.Zhir vs Yoshimitsu | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Bryan | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Devil Jin | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Dragunov | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Lars | 2–1 | 66.67% |
| TikTok:Khi.Zhir vs Shaheen | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Panda | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Azucena | 2–1 | 66.67% |
| TikTok:Khi.Zhir vs Raven | 2–1 | 66.67% |
| TikTok:Khi.Zhir vs Clive | 1–2 | 33.33% |
| TikTok:Khi.Zhir vs Asuka | 2–0 | 100.00% |
| TikTok:Khi.Zhir vs Zafina | 2–0 | 100.00% |
| TikTok:Khi.Zhir vs Leroy | 2–0 | 100.00% |
| TikTok:Khi.Zhir vs Lidia | 2–0 | 100.00% |
| TikTok:Khi.Zhir vs Heihachi | 0–2 | 0.00% |
| TikTok:Khi.Zhir vs Jack-8 | 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.