Name history
| blur | |
| lol imagine??? | |
| avrg yoshi main | |
| lol imagine. | |
| juggle = ur g4y | |
| dildanoo |
| blur vs Jin | 118–163 | 41.99% |
| blur vs Kazuya | 96–142 | 40.34% |
| blur vs King | 109–110 | 49.77% |
| blur vs Reina | 101–101 | 50.00% |
| blur vs Dragunov | 67–107 | 38.51% |
| blur vs Bryan | 56–105 | 34.78% |
| blur vs Hwoarang | 76–80 | 48.72% |
| blur vs Steve | 87–69 | 55.77% |
| blur vs Yoshimitsu | 52–70–4 | 42.62% |
| blur vs Lili | 54–68 | 44.26% |
| blur vs Victor | 47–59 | 44.34% |
| blur vs Asuka | 43–62 | 40.95% |
| blur vs Paul | 40–57 | 41.24% |
| blur vs Jun | 36–61 | 37.11% |
| blur vs Devil Jin | 37–49 | 43.02% |
| blur vs Law | 31–48 | 39.24% |
| blur vs Lars | 32–42 | 43.24% |
| blur vs Alisa | 36–38 | 48.65% |
| blur vs Eddy | 21–44 | 32.31% |
| blur vs Xiaoyu | 27–37 | 42.19% |
| blur vs Lee | 25–39 | 39.06% |
| blur vs Nina | 19–42 | 31.15% |
| blur vs Leroy | 29–32 | 47.54% |
| blur vs Leo | 24–34 | 41.38% |
| blur vs Feng | 18–34 | 34.62% |
| blur vs Lidia | 17–34 | 33.33% |
| blur vs Azucena | 20–29 | 40.82% |
| blur vs Shaheen | 13–27 | 32.50% |
| blur vs Claudio | 9–25 | 26.47% |
| blur vs Raven | 13–20 | 39.39% |
| blur vs Kuma | 8–18 | 30.77% |
| blur vs Heihachi | 10–16 | 38.46% |
| blur vs Jack-8 | 7–11 | 38.89% |
| blur vs Zafina | 7–7 | 50.00% |
| blur vs Clive | 3–5 | 37.50% |
| blur vs Anna | 0–5 | 0.00% |
| blur vs Armor King | 4–1 | 80.00% |
| blur vs Panda | 0–3 | 0.00% |
| blur vs Fahkumram | 1–2 | 33.33% |
| blur vs Miary Zo | 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.