Name history
| TEKKEN | |
| GAMEISCOOKED | |
| ██████████████ | |
| Shiit 8 | |
| Shiit8 | |
| TheRealC2K | |
| Coffee Lady | |
| Imawashedplayer |
| TEKKEN vs Kazuya | 168–314 | 34.85% |
| TEKKEN vs Reina | 179–215 | 45.43% |
| TEKKEN vs Heihachi | 128–263 | 32.74% |
| TEKKEN vs Jin | 141–239 | 37.11% |
| TEKKEN vs Steve | 129–164 | 44.03% |
| TEKKEN vs King | 124–160 | 43.66% |
| TEKKEN vs Hwoarang | 132–145–1 | 47.65% |
| TEKKEN vs Bryan | 103–152 | 40.39% |
| TEKKEN vs Dragunov | 83–158 | 34.44% |
| TEKKEN vs Clive | 55–184 | 23.01% |
| TEKKEN vs Law | 56–173 | 24.45% |
| TEKKEN vs Lili | 86–120 | 41.75% |
| TEKKEN vs Yoshimitsu | 64–119 | 34.97% |
| TEKKEN vs Lidia | 55–123 | 30.90% |
| TEKKEN vs Lee | 55–116 | 32.16% |
| TEKKEN vs Devil Jin | 68–100 | 40.48% |
| TEKKEN vs Jun | 56–110 | 33.73% |
| TEKKEN vs Nina | 62–98 | 38.75% |
| TEKKEN vs Asuka | 60–91 | 39.74% |
| TEKKEN vs Paul | 53–92 | 36.55% |
| TEKKEN vs Azucena | 68–65 | 51.13% |
| TEKKEN vs Victor | 53–78–1 | 40.46% |
| TEKKEN vs Alisa | 35–70 | 33.33% |
| TEKKEN vs Eddy | 34–70 | 32.69% |
| TEKKEN vs Xiaoyu | 44–58 | 43.14% |
| TEKKEN vs Jack-8 | 30–66 | 31.25% |
| TEKKEN vs Lars | 25–65 | 27.78% |
| TEKKEN vs Feng | 23–62 | 27.06% |
| TEKKEN vs Claudio | 19–56 | 25.33% |
| TEKKEN vs Leroy | 16–52 | 23.53% |
| TEKKEN vs Leo | 20–47 | 29.85% |
| TEKKEN vs Raven | 25–36 | 40.98% |
| TEKKEN vs Kuma | 18–34 | 34.62% |
| TEKKEN vs Shaheen | 21–29 | 42.00% |
| TEKKEN vs Zafina | 15–31 | 32.61% |
| TEKKEN vs Armor King | 7–32 | 17.95% |
| TEKKEN vs Fahkumram | 9–16 | 36.00% |
| TEKKEN vs Panda | 5–14 | 26.32% |
| TEKKEN vs Anna | 6–10 | 37.50% |
| TEKKEN 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.