Name history
| carv | |
| darrow | |
| cassius | |
| dayne | |
| hodor | |
| kaladin | |
| snow | |
| waron | |
| kvothe | |
| Plastic Tree | |
| Hodor | |
| carvv | |
| carviezel | |
| Dayne | |
| beau | |
| Darrow |
| carv vs Kazuya | 97–64 | 60.25% |
| carv vs Bryan | 79–81 | 49.38% |
| carv vs Jin | 92–61 | 60.13% |
| carv vs Steve | 90–62 | 59.21% |
| carv vs Paul | 66–58 | 53.23% |
| carv vs Heihachi | 70–39 | 64.22% |
| carv vs King | 57–42 | 57.58% |
| carv vs Lili | 48–45 | 51.61% |
| carv vs Hwoarang | 54–36 | 60.00% |
| carv vs Dragunov | 45–41 | 52.33% |
| carv vs Reina | 44–39 | 53.01% |
| carv vs Lee | 36–40 | 47.37% |
| carv vs Devil Jin | 47–26 | 64.38% |
| carv vs Feng | 34–36 | 48.57% |
| carv vs Jun | 32–31 | 50.79% |
| carv vs Law | 29–24 | 54.72% |
| carv vs Yoshimitsu | 25–27 | 48.08% |
| carv vs Lars | 24–21 | 53.33% |
| carv vs Shaheen | 23–15 | 60.53% |
| carv vs Jack-8 | 21–16 | 56.76% |
| carv vs Leo | 26–11 | 70.27% |
| carv vs Asuka | 16–20 | 44.44% |
| carv vs Nina | 19–17 | 52.78% |
| carv vs Xiaoyu | 18–13 | 58.06% |
| carv vs Azucena | 14–16 | 46.67% |
| carv vs Clive | 16–14 | 53.33% |
| carv vs Claudio | 11–18 | 37.93% |
| carv vs Leroy | 15–11 | 57.69% |
| carv vs Victor | 11–15 | 42.31% |
| carv vs Eddy | 7–18 | 28.00% |
| carv vs Lidia | 13–12 | 52.00% |
| carv vs Kuma | 13–11 | 54.17% |
| carv vs Raven | 11–11 | 50.00% |
| carv vs Alisa | 10–9 | 52.63% |
| carv vs Armor King | 6–12 | 33.33% |
| carv vs Zafina | 5–10 | 33.33% |
| carv vs Fahkumram | 4–1 | 80.00% |
| carv vs Panda | 0–4 | 0.00% |
| carv vs Anna | 1–0 | 100.00% |
| carv vs Miary Zo | 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.