| Kage vs Jin | 26–22 | 54.17% |
| Kage vs King | 22–18 | 55.00% |
| Kage vs Kazuya | 17–20 | 45.95% |
| Kage vs Dragunov | 16–16 | 50.00% |
| Kage vs Xiaoyu | 16–12 | 57.14% |
| Kage vs Bryan | 16–12 | 57.14% |
| Kage vs Steve | 13–15 | 46.43% |
| Kage vs Law | 15–12 | 55.56% |
| Kage vs Hwoarang | 17–10 | 62.96% |
| Kage vs Lili | 11–16 | 40.74% |
| Kage vs Reina | 10–15 | 40.00% |
| Kage vs Paul | 10–11 | 47.62% |
| Kage vs Lars | 6–13 | 31.58% |
| Kage vs Eddy | 6–13 | 31.58% |
| Kage vs Asuka | 12–6 | 66.67% |
| Kage vs Jun | 8–10 | 44.44% |
| Kage vs Nina | 10–7 | 58.82% |
| Kage vs Lee | 8–9 | 47.06% |
| Kage vs Azucena | 8–9 | 47.06% |
| Kage vs Victor | 7–9 | 43.75% |
| Kage vs Fahkumram | 11–5 | 68.75% |
| Kage vs Yoshimitsu | 3–12 | 20.00% |
| Kage vs Heihachi | 8–7 | 53.33% |
| Kage vs Jack-8 | 9–5 | 64.29% |
| Kage vs Feng | 9–3 | 75.00% |
| Kage vs Kuma | 10–2 | 83.33% |
| Kage vs Leo | 6–5 | 54.55% |
| Kage vs Devil Jin | 7–3 | 70.00% |
| Kage vs Raven | 6–3 | 66.67% |
| Kage vs Lidia | 3–5 | 37.50% |
| Kage vs Zafina | 6–1 | 85.71% |
| Kage vs Shaheen | 2–3 | 40.00% |
| Kage vs Panda | 1–4 | 20.00% |
| Kage vs Alisa | 1–3 | 25.00% |
| Kage vs Clive | 2–2 | 50.00% |
| Kage vs Anna | 0–3 | 0.00% |
| Kage vs Claudio | 1–1 | 50.00% |
| Kage vs Leroy | 2–0 | 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.