| KMOBKSilver vs Eddy | 14–10 | 58.33% |
| KMOBKSilver vs Dragunov | 9–12 | 42.86% |
| KMOBKSilver vs Hwoarang | 10–10 | 50.00% |
| KMOBKSilver vs Lars | 9–9 | 50.00% |
| KMOBKSilver vs Lili | 11–5 | 68.75% |
| KMOBKSilver vs Jin | 5–9 | 35.71% |
| KMOBKSilver vs King | 4–9 | 30.77% |
| KMOBKSilver vs Jun | 7–6 | 53.85% |
| KMOBKSilver vs Yoshimitsu | 4–8 | 33.33% |
| KMOBKSilver vs Xiaoyu | 8–4 | 66.67% |
| KMOBKSilver vs Steve | 3–8 | 27.27% |
| KMOBKSilver vs Claudio | 3–7 | 30.00% |
| KMOBKSilver vs Panda | 3–7 | 30.00% |
| KMOBKSilver vs Azucena | 2–8 | 20.00% |
| KMOBKSilver vs Heihachi | 3–7 | 30.00% |
| KMOBKSilver vs Law | 7–1 | 87.50% |
| KMOBKSilver vs Devil Jin | 6–2 | 75.00% |
| KMOBKSilver vs Nina | 5–3 | 62.50% |
| KMOBKSilver vs Lee | 3–5 | 37.50% |
| KMOBKSilver vs Paul | 1–6 | 14.29% |
| KMOBKSilver vs Lidia | 2–5 | 28.57% |
| KMOBKSilver vs Kazuya | 2–4 | 33.33% |
| KMOBKSilver vs Asuka | 3–3 | 50.00% |
| KMOBKSilver vs Leroy | 1–5 | 16.67% |
| KMOBKSilver vs Raven | 5–1 | 83.33% |
| KMOBKSilver vs Leo | 2–3 | 40.00% |
| KMOBKSilver vs Victor | 2–3 | 40.00% |
| KMOBKSilver vs Clive | 4–1 | 80.00% |
| KMOBKSilver vs Bryan | 1–3 | 25.00% |
| KMOBKSilver vs Reina | 4–0 | 100.00% |
| KMOBKSilver vs Alisa | 1–2 | 33.33% |
| KMOBKSilver vs Feng | 1–0 | 100.00% |
| KMOBKSilver vs Anna | 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.