Name history
| injoker | |
| tettine morbide | |
| tettine | |
| pisellino | |
| gorogorogoro | |
| franco | |
| ARICIA | |
| spike |
| injoker vs Kazuya | 62–35 | 63.92% |
| injoker vs Jin | 52–26 | 66.67% |
| injoker vs Reina | 42–28 | 60.00% |
| injoker vs King | 32–35 | 47.76% |
| injoker vs Dragunov | 39–22 | 63.93% |
| injoker vs Heihachi | 30–23 | 56.60% |
| injoker vs Law | 24–26 | 48.00% |
| injoker vs Steve | 31–17 | 64.58% |
| injoker vs Bryan | 26–19 | 57.78% |
| injoker vs Paul | 30–12 | 71.43% |
| injoker vs Lili | 25–11 | 69.44% |
| injoker vs Jun | 19–17 | 52.78% |
| injoker vs Eddy | 21–15 | 58.33% |
| injoker vs Yoshimitsu | 17–17 | 50.00% |
| injoker vs Lee | 16–17 | 48.48% |
| injoker vs Devil Jin | 16–16 | 50.00% |
| injoker vs Hwoarang | 12–19 | 38.71% |
| injoker vs Azucena | 18–12 | 60.00% |
| injoker vs Lidia | 17–11 | 60.71% |
| injoker vs Asuka | 19–6 | 76.00% |
| injoker vs Claudio | 8–16 | 33.33% |
| injoker vs Feng | 15–8 | 65.22% |
| injoker vs Victor | 13–7 | 65.00% |
| injoker vs Xiaoyu | 13–6 | 68.42% |
| injoker vs Nina | 10–7 | 58.82% |
| injoker vs Leroy | 11–5 | 68.75% |
| injoker vs Clive | 6–10 | 37.50% |
| injoker vs Jack-8 | 7–7 | 50.00% |
| injoker vs Leo | 6–8 | 42.86% |
| injoker vs Lars | 8–6 | 57.14% |
| injoker vs Alisa | 8–6 | 57.14% |
| injoker vs Kuma | 5–9 | 35.71% |
| injoker vs Panda | 4–5 | 44.44% |
| injoker vs Zafina | 6–1 | 85.71% |
| injoker vs Fahkumram | 3–1 | 75.00% |
| injoker vs Shaheen | 1–2 | 33.33% |
| injoker vs Anna | 1–1 | 50.00% |
| injoker vs Raven | 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.