Name history
| funzies | |
| baby shark223 | |
| fentanyloffebay | |
| 62yrsofgaming | |
| grandpagaming12 | |
| starrailme | |
| idkwhyicameback | |
| Loser baby | |
| Meo.b |
| funzies vs King | 24–39 | 38.10% |
| funzies vs Dragunov | 18–23 | 43.90% |
| funzies vs Jin | 19–21 | 47.50% |
| funzies vs Reina | 22–17 | 56.41% |
| funzies vs Kazuya | 23–15 | 60.53% |
| funzies vs Steve | 21–17 | 55.26% |
| funzies vs Law | 18–18 | 50.00% |
| funzies vs Bryan | 18–16 | 52.94% |
| funzies vs Heihachi | 17–17 | 50.00% |
| funzies vs Eddy | 17–15 | 53.12% |
| funzies vs Lili | 15–16 | 48.39% |
| funzies vs Lidia | 17–11 | 60.71% |
| funzies vs Hwoarang | 8–16 | 33.33% |
| funzies vs Asuka | 7–15 | 31.82% |
| funzies vs Leroy | 12–10 | 54.55% |
| funzies vs Azucena | 10–11 | 47.62% |
| funzies vs Clive | 13–8 | 61.90% |
| funzies vs Victor | 11–8 | 57.89% |
| funzies vs Jack-8 | 9–7 | 56.25% |
| funzies vs Devil Jin | 3–13 | 18.75% |
| funzies vs Xiaoyu | 8–6 | 57.14% |
| funzies vs Alisa | 7–7 | 50.00% |
| funzies vs Yoshimitsu | 9–4 | 69.23% |
| funzies vs Claudio | 7–6 | 53.85% |
| funzies vs Nina | 6–7 | 46.15% |
| funzies vs Feng | 10–2 | 83.33% |
| funzies vs Lars | 8–4 | 66.67% |
| funzies vs Kuma | 7–4 | 63.64% |
| funzies vs Zafina | 2–8 | 20.00% |
| funzies vs Jun | 2–7 | 22.22% |
| funzies vs Leo | 5–3 | 62.50% |
| funzies vs Paul | 1–6 | 14.29% |
| funzies vs Lee | 4–3 | 57.14% |
| funzies vs Anna | 4–3 | 57.14% |
| funzies vs Raven | 3–1 | 75.00% |
| funzies vs Fahkumram | 2–2 | 50.00% |
| funzies vs Shaheen | 2–0 | 100.00% |
| funzies vs Panda | 0–2 | 0.00% |
| funzies vs Armor King | 0–2 | 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.