| KID2FLASHY vs Bryan | 42–67 | 38.53% |
| KID2FLASHY vs Kazuya | 48–48 | 50.00% |
| KID2FLASHY vs Steve | 44–40 | 52.38% |
| KID2FLASHY vs King | 49–26 | 65.33% |
| KID2FLASHY vs Jin | 45–27 | 62.50% |
| KID2FLASHY vs Lili | 33–27 | 55.00% |
| KID2FLASHY vs Devil Jin | 30–26 | 53.57% |
| KID2FLASHY vs Dragunov | 31–23 | 57.41% |
| KID2FLASHY vs Lee | 21–31 | 40.38% |
| KID2FLASHY vs Paul | 28–21 | 57.14% |
| KID2FLASHY vs Hwoarang | 19–26 | 42.22% |
| KID2FLASHY vs Victor | 29–15 | 65.91% |
| KID2FLASHY vs Yoshimitsu | 20–23 | 46.51% |
| KID2FLASHY vs Law | 23–18 | 56.10% |
| KID2FLASHY vs Clive | 21–20 | 51.22% |
| KID2FLASHY vs Asuka | 18–18 | 50.00% |
| KID2FLASHY vs Xiaoyu | 20–15 | 57.14% |
| KID2FLASHY vs Heihachi | 19–16 | 54.29% |
| KID2FLASHY vs Raven | 13–17 | 43.33% |
| KID2FLASHY vs Lars | 16–13 | 55.17% |
| KID2FLASHY vs Reina | 15–12 | 55.56% |
| KID2FLASHY vs Azucena | 16–11 | 59.26% |
| KID2FLASHY vs Claudio | 13–12 | 52.00% |
| KID2FLASHY vs Feng | 10–14 | 41.67% |
| KID2FLASHY vs Nina | 13–10 | 56.52% |
| KID2FLASHY vs Kuma | 14–9 | 60.87% |
| KID2FLASHY vs Jun | 14–8 | 63.64% |
| KID2FLASHY vs Lidia | 8–11 | 42.11% |
| KID2FLASHY vs Shaheen | 5–13 | 27.78% |
| KID2FLASHY vs Leroy | 8–10 | 44.44% |
| KID2FLASHY vs Alisa | 4–12 | 25.00% |
| KID2FLASHY vs Leo | 11–2 | 84.62% |
| KID2FLASHY vs Zafina | 3–9 | 25.00% |
| KID2FLASHY vs Eddy | 0–10 | 0.00% |
| KID2FLASHY vs Jack-8 | 2–7 | 22.22% |
| KID2FLASHY vs Panda | 4–4 | 50.00% |
| KID2FLASHY vs Anna | 1–6 | 14.29% |
| KID2FLASHY vs Fahkumram | 6–0 | 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.