Name history
| Chill Gaming | |
| Practice | |
| XENOMORPH | |
| The Dredge | |
| Learning TEKKEN | |
| Trickster |
| Chill Gaming vs Jin | 18–27 | 40.00% |
| Chill Gaming vs King | 23–17 | 57.50% |
| Chill Gaming vs Steve | 23–15 | 60.53% |
| Chill Gaming vs Kazuya | 16–13 | 55.17% |
| Chill Gaming vs Armor King | 13–16 | 44.83% |
| Chill Gaming vs Bryan | 15–12 | 55.56% |
| Chill Gaming vs Hwoarang | 12–13 | 48.00% |
| Chill Gaming vs Eddy | 11–11 | 50.00% |
| Chill Gaming vs Dragunov | 6–13 | 31.58% |
| Chill Gaming vs Asuka | 15–3 | 83.33% |
| Chill Gaming vs Paul | 7–10 | 41.18% |
| Chill Gaming vs Reina | 7–10 | 41.18% |
| Chill Gaming vs Lili | 7–9 | 43.75% |
| Chill Gaming vs Law | 10–5 | 66.67% |
| Chill Gaming vs Devil Jin | 8–7 | 53.33% |
| Chill Gaming vs Jun | 6–9 | 40.00% |
| Chill Gaming vs Heihachi | 7–6 | 53.85% |
| Chill Gaming vs Lars | 5–7 | 41.67% |
| Chill Gaming vs Lee | 5–6 | 45.45% |
| Chill Gaming vs Jack-8 | 5–4 | 55.56% |
| Chill Gaming vs Yoshimitsu | 4–4 | 50.00% |
| Chill Gaming vs Nina | 2–5 | 28.57% |
| Chill Gaming vs Clive | 5–2 | 71.43% |
| Chill Gaming vs Claudio | 3–3 | 50.00% |
| Chill Gaming vs Anna | 2–4 | 33.33% |
| Chill Gaming vs Xiaoyu | 3–2 | 60.00% |
| Chill Gaming vs Shaheen | 2–3 | 40.00% |
| Chill Gaming vs Azucena | 3–2 | 60.00% |
| Chill Gaming vs Lidia | 1–4 | 20.00% |
| Chill Gaming vs Feng | 2–1 | 66.67% |
| Chill Gaming vs Leroy | 2–1 | 66.67% |
| Chill Gaming vs Victor | 3–0 | 100.00% |
| Chill Gaming vs Raven | 0–3 | 0.00% |
| Chill Gaming vs Fahkumram | 3–0 | 100.00% |
| Chill Gaming vs Alisa | 0–2 | 0.00% |
| Chill Gaming vs Leo | 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.