| KeLaMc17 vs King | 25–16 | 60.98% |
| KeLaMc17 vs Hwoarang | 10–28 | 26.32% |
| KeLaMc17 vs Lars | 23–15 | 60.53% |
| KeLaMc17 vs Jin | 21–16 | 56.76% |
| KeLaMc17 vs Steve | 20–17 | 54.05% |
| KeLaMc17 vs Law | 17–19 | 47.22% |
| KeLaMc17 vs Bryan | 16–16 | 50.00% |
| KeLaMc17 vs Kazuya | 17–15 | 53.12% |
| KeLaMc17 vs Jun | 15–14 | 51.72% |
| KeLaMc17 vs Lili | 15–12 | 55.56% |
| KeLaMc17 vs Paul | 10–15 | 40.00% |
| KeLaMc17 vs Feng | 6–17 | 26.09% |
| KeLaMc17 vs Yoshimitsu | 7–15 | 31.82% |
| KeLaMc17 vs Dragunov | 9–12 | 42.86% |
| KeLaMc17 vs Nina | 8–12 | 40.00% |
| KeLaMc17 vs Eddy | 12–8 | 60.00% |
| KeLaMc17 vs Leo | 4–15 | 21.05% |
| KeLaMc17 vs Alisa | 6–10 | 37.50% |
| KeLaMc17 vs Reina | 10–6 | 62.50% |
| KeLaMc17 vs Armor King | 10–6 | 62.50% |
| KeLaMc17 vs Lee | 7–8 | 46.67% |
| KeLaMc17 vs Azucena | 13–2 | 86.67% |
| KeLaMc17 vs Victor | 8–5 | 61.54% |
| KeLaMc17 vs Devil Jin | 6–5 | 54.55% |
| KeLaMc17 vs Shaheen | 4–4 | 50.00% |
| KeLaMc17 vs Zafina | 6–2 | 75.00% |
| KeLaMc17 vs Miary Zo | 5–3 | 62.50% |
| KeLaMc17 vs Kuma | 2–5 | 28.57% |
| KeLaMc17 vs Leroy | 2–5 | 28.57% |
| KeLaMc17 vs Asuka | 3–3 | 50.00% |
| KeLaMc17 vs Claudio | 3–3 | 50.00% |
| KeLaMc17 vs Raven | 5–1 | 83.33% |
| KeLaMc17 vs Xiaoyu | 5–0 | 100.00% |
| KeLaMc17 vs Jack-8 | 4–1 | 80.00% |
| KeLaMc17 vs Lidia | 4–1 | 80.00% |
| KeLaMc17 vs Heihachi | 2–3 | 40.00% |
| KeLaMc17 vs Clive | 0–4 | 0.00% |
| KeLaMc17 vs Anna | 2–2 | 50.00% |
| KeLaMc17 vs Fahkumram | 4–0 | 100.00% |
| KeLaMc17 vs Panda | 1–2 | 33.33% |
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.