Name history
| ダイジョーブ博士 | |
| ピザ頼んだら蕎麦がきた 鉄拳8 | |
| 原田ナカツ ヒヨりました | |
| いいぞ原田ナカツ！もっとやれ！ | |
| 鉄剣8 シーズン２ | |
| 1の世界 | |
| さんま工場長 |
| ダイジョーブ博士 vs Kazuya | 34–11 | 75.56% |
| ダイジョーブ博士 vs Paul | 29–13 | 69.05% |
| ダイジョーブ博士 vs Reina | 28–11 | 71.79% |
| ダイジョーブ博士 vs Hwoarang | 21–17 | 55.26% |
| ダイジョーブ博士 vs King | 20–15 | 57.14% |
| ダイジョーブ博士 vs Dragunov | 17–12 | 58.62% |
| ダイジョーブ博士 vs Heihachi | 15–12 | 55.56% |
| ダイジョーブ博士 vs Bryan | 18–6 | 75.00% |
| ダイジョーブ博士 vs Jun | 14–8 | 63.64% |
| ダイジョーブ博士 vs Asuka | 16–5 | 76.19% |
| ダイジョーブ博士 vs Lili | 15–6 | 71.43% |
| ダイジョーブ博士 vs Law | 14–4 | 77.78% |
| ダイジョーブ博士 vs Victor | 10–8 | 55.56% |
| ダイジョーブ博士 vs Jin | 12–5 | 70.59% |
| ダイジョーブ博士 vs Lars | 14–3 | 82.35% |
| ダイジョーブ博士 vs Clive | 13–3 | 81.25% |
| ダイジョーブ博士 vs Devil Jin | 13–2 | 86.67% |
| ダイジョーブ博士 vs Steve | 11–3 | 78.57% |
| ダイジョーブ博士 vs Leroy | 8–6 | 57.14% |
| ダイジョーブ博士 vs Lidia | 9–5 | 64.29% |
| ダイジョーブ博士 vs Leo | 9–3 | 75.00% |
| ダイジョーブ博士 vs Anna | 6–6 | 50.00% |
| ダイジョーブ博士 vs Claudio | 10–1 | 90.91% |
| ダイジョーブ博士 vs Eddy | 7–4 | 63.64% |
| ダイジョーブ博士 vs Yoshimitsu | 5–5 | 50.00% |
| ダイジョーブ博士 vs Feng | 8–2 | 80.00% |
| ダイジョーブ博士 vs Alisa | 8–2 | 80.00% |
| ダイジョーブ博士 vs Kuma | 8–2 | 80.00% |
| ダイジョーブ博士 vs Azucena | 2–8 | 20.00% |
| ダイジョーブ博士 vs Nina | 8–1 | 88.89% |
| ダイジョーブ博士 vs Fahkumram | 6–2 | 75.00% |
| ダイジョーブ博士 vs Xiaoyu | 5–2 | 71.43% |
| ダイジョーブ博士 vs Raven | 4–3 | 57.14% |
| ダイジョーブ博士 vs Lee | 2–4 | 33.33% |
| ダイジョーブ博士 vs Shaheen | 3–2 | 60.00% |
| ダイジョーブ博士 vs Zafina | 5–0 | 100.00% |
| ダイジョーブ博士 vs Panda | 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.