| KSMbGaming vs King | 25–32 | 43.86% |
| KSMbGaming vs Jin | 22–35 | 38.60% |
| KSMbGaming vs Reina | 28–19 | 59.57% |
| KSMbGaming vs Steve | 24–18 | 57.14% |
| KSMbGaming vs Dragunov | 16–23 | 41.03% |
| KSMbGaming vs Law | 18–19 | 48.65% |
| KSMbGaming vs Bryan | 13–23 | 36.11% |
| KSMbGaming vs Kazuya | 24–11 | 68.57% |
| KSMbGaming vs Paul | 12–20 | 37.50% |
| KSMbGaming vs Eddy | 10–21 | 32.26% |
| KSMbGaming vs Lidia | 16–14 | 53.33% |
| KSMbGaming vs Lee | 11–16 | 40.74% |
| KSMbGaming vs Hwoarang | 13–13 | 50.00% |
| KSMbGaming vs Xiaoyu | 5–20 | 20.00% |
| KSMbGaming vs Asuka | 9–16 | 36.00% |
| KSMbGaming vs Lili | 12–12 | 50.00% |
| KSMbGaming vs Azucena | 7–17 | 29.17% |
| KSMbGaming vs Lars | 10–13 | 43.48% |
| KSMbGaming vs Yoshimitsu | 9–13 | 40.91% |
| KSMbGaming vs Jun | 8–11 | 42.11% |
| KSMbGaming vs Anna | 7–11 | 38.89% |
| KSMbGaming vs Jack-8 | 5–10 | 33.33% |
| KSMbGaming vs Feng | 4–11 | 26.67% |
| KSMbGaming vs Alisa | 6–9 | 40.00% |
| KSMbGaming vs Shaheen | 7–8 | 46.67% |
| KSMbGaming vs Heihachi | 3–12 | 20.00% |
| KSMbGaming vs Leo | 11–3 | 78.57% |
| KSMbGaming vs Kuma | 6–7 | 46.15% |
| KSMbGaming vs Claudio | 3–9 | 25.00% |
| KSMbGaming vs Clive | 8–4 | 66.67% |
| KSMbGaming vs Victor | 1–10 | 9.09% |
| KSMbGaming vs Raven | 6–5 | 54.55% |
| KSMbGaming vs Nina | 4–4–1 | 50.00% |
| KSMbGaming vs Devil Jin | 3–5 | 37.50% |
| KSMbGaming vs Fahkumram | 2–5 | 28.57% |
| KSMbGaming vs Armor King | 1–6 | 14.29% |
| KSMbGaming vs Leroy | 1–4 | 20.00% |
| KSMbGaming vs Zafina | 1–1 | 50.00% |
| KSMbGaming vs Miary Zo | 0–2 | 0.00% |
| KSMbGaming 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.