| CrackSmoka99 vs Kazuya | 16–39 | 29.09% |
| CrackSmoka99 vs Armor King | 20–33 | 37.74% |
| CrackSmoka99 vs Bryan | 22–27 | 44.90% |
| CrackSmoka99 vs King | 17–31 | 35.42% |
| CrackSmoka99 vs Hwoarang | 15–29 | 34.09% |
| CrackSmoka99 vs Jin | 26–17 | 60.47% |
| CrackSmoka99 vs Law | 22–19 | 53.66% |
| CrackSmoka99 vs Heihachi | 21–17 | 55.26% |
| CrackSmoka99 vs Reina | 17–16 | 51.52% |
| CrackSmoka99 vs Steve | 18–13 | 58.06% |
| CrackSmoka99 vs Lili | 17–11 | 60.71% |
| CrackSmoka99 vs Fahkumram | 13–12 | 52.00% |
| CrackSmoka99 vs Clive | 19–5 | 79.17% |
| CrackSmoka99 vs Devil Jin | 13–7 | 65.00% |
| CrackSmoka99 vs Jun | 5–15 | 25.00% |
| CrackSmoka99 vs Paul | 7–11 | 38.89% |
| CrackSmoka99 vs Asuka | 5–13 | 27.78% |
| CrackSmoka99 vs Azucena | 8–9 | 47.06% |
| CrackSmoka99 vs Eddy | 3–13 | 18.75% |
| CrackSmoka99 vs Yoshimitsu | 6–9 | 40.00% |
| CrackSmoka99 vs Leo | 5–8 | 38.46% |
| CrackSmoka99 vs Dragunov | 9–3 | 75.00% |
| CrackSmoka99 vs Lars | 5–7 | 41.67% |
| CrackSmoka99 vs Xiaoyu | 3–7 | 30.00% |
| CrackSmoka99 vs Alisa | 3–7 | 30.00% |
| CrackSmoka99 vs Nina | 2–7 | 22.22% |
| CrackSmoka99 vs Jack-8 | 5–3 | 62.50% |
| CrackSmoka99 vs Lee | 2–4 | 33.33% |
| CrackSmoka99 vs Feng | 1–4 | 20.00% |
| CrackSmoka99 vs Zafina | 2–3 | 40.00% |
| CrackSmoka99 vs Victor | 4–1 | 80.00% |
| CrackSmoka99 vs Lidia | 5–0 | 100.00% |
| CrackSmoka99 vs Anna | 1–3 | 25.00% |
| CrackSmoka99 vs Claudio | 0–3 | 0.00% |
| CrackSmoka99 vs Miary Zo | 1–2 | 33.33% |
| CrackSmoka99 vs Kuma | 2–0 | 100.00% |
| CrackSmoka99 vs Panda | 0–2 | 0.00% |
| CrackSmoka99 vs Leroy | 0–2 | 0.00% |
| CrackSmoka99 vs Raven | 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.