Name history
| KB I DTX | |
| DTX. | |
| DTX.KBOARD | |
| Do we care tho | |
| 刀ㄒメ I | |
| 刀ㄒメ I KBoard | |
| MyGirlGotNoGyat | |
| dTXonKeyboard | |
| DONTREX |
| KB I DTX vs Heihachi | 38–15 | 71.70% |
| KB I DTX vs Jin | 43–4 | 91.49% |
| KB I DTX vs Reina | 30–8 | 78.95% |
| KB I DTX vs Kazuya | 24–10 | 70.59% |
| KB I DTX vs King | 19–11 | 63.33% |
| KB I DTX vs Law | 19–5 | 79.17% |
| KB I DTX vs Bryan | 19–5 | 79.17% |
| KB I DTX vs Lili | 15–8 | 65.22% |
| KB I DTX vs Jun | 13–9 | 59.09% |
| KB I DTX vs Eddy | 16–5 | 76.19% |
| KB I DTX vs Steve | 15–3 | 83.33% |
| KB I DTX vs Devil Jin | 14–4 | 77.78% |
| KB I DTX vs Dragunov | 14–4 | 77.78% |
| KB I DTX vs Claudio | 15–2 | 88.24% |
| KB I DTX vs Lidia | 11–6 | 64.71% |
| KB I DTX vs Armor King | 11–6 | 64.71% |
| KB I DTX vs Paul | 10–5 | 66.67% |
| KB I DTX vs Azucena | 10–5 | 66.67% |
| KB I DTX vs Yoshimitsu | 5–7 | 41.67% |
| KB I DTX vs Victor | 11–1 | 91.67% |
| KB I DTX vs Asuka | 8–2 | 80.00% |
| KB I DTX vs Nina | 7–3 | 70.00% |
| KB I DTX vs Clive | 8–2 | 80.00% |
| KB I DTX vs Leo | 2–7 | 22.22% |
| KB I DTX vs Alisa | 5–4 | 55.56% |
| KB I DTX vs Lee | 7–2 | 77.78% |
| KB I DTX vs Feng | 7–1 | 87.50% |
| KB I DTX vs Leroy | 8–0 | 100.00% |
| KB I DTX vs Hwoarang | 5–2 | 71.43% |
| KB I DTX vs Lars | 5–2 | 71.43% |
| KB I DTX vs Shaheen | 4–2 | 66.67% |
| KB I DTX vs Fahkumram | 5–1 | 83.33% |
| KB I DTX vs Xiaoyu | 2–2 | 50.00% |
| KB I DTX vs Kuma | 2–2 | 50.00% |
| KB I DTX vs Raven | 3–1 | 75.00% |
| KB I DTX vs Zafina | 0–3 | 0.00% |
| KB I DTX vs Jack-8 | 0–2 | 0.00% |
| KB I DTX vs Anna | 2–0 | 100.00% |
| KB I DTX vs Panda | 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.