| ItsTVTime vs King | 59–75 | 44.03% |
| ItsTVTime vs Kazuya | 74–53 | 58.27% |
| ItsTVTime vs Jin | 59–63 | 48.36% |
| ItsTVTime vs Hwoarang | 47–50 | 48.45% |
| ItsTVTime vs Law | 42–53–1 | 44.21% |
| ItsTVTime vs Yoshimitsu | 46–37 | 55.42% |
| ItsTVTime vs Reina | 42–38 | 52.50% |
| ItsTVTime vs Steve | 40–39 | 50.63% |
| ItsTVTime vs Paul | 35–27 | 56.45% |
| ItsTVTime vs Dragunov | 33–28 | 54.10% |
| ItsTVTime vs Bryan | 30–30 | 50.00% |
| ItsTVTime vs Devil Jin | 23–29 | 44.23% |
| ItsTVTime vs Lili | 25–25 | 50.00% |
| ItsTVTime vs Jun | 30–20 | 60.00% |
| ItsTVTime vs Lee | 26–23 | 53.06% |
| ItsTVTime vs Azucena | 29–19 | 60.42% |
| ItsTVTime vs Heihachi | 20–27 | 42.55% |
| ItsTVTime vs Lars | 22–23 | 48.89% |
| ItsTVTime vs Eddy | 28–17 | 62.22% |
| ItsTVTime vs Asuka | 27–17 | 61.36% |
| ItsTVTime vs Fahkumram | 13–30 | 30.23% |
| ItsTVTime vs Victor | 19–16 | 54.29% |
| ItsTVTime vs Nina | 11–18 | 37.93% |
| ItsTVTime vs Claudio | 12–15 | 44.44% |
| ItsTVTime vs Xiaoyu | 11–14 | 44.00% |
| ItsTVTime vs Feng | 10–15 | 40.00% |
| ItsTVTime vs Clive | 10–14 | 41.67% |
| ItsTVTime vs Anna | 13–11 | 54.17% |
| ItsTVTime vs Alisa | 10–8 | 55.56% |
| ItsTVTime vs Raven | 8–10 | 44.44% |
| ItsTVTime vs Jack-8 | 4–13 | 23.53% |
| ItsTVTime vs Leo | 7–9 | 43.75% |
| ItsTVTime vs Leroy | 10–6 | 62.50% |
| ItsTVTime vs Lidia | 10–6 | 62.50% |
| ItsTVTime vs Shaheen | 11–3 | 78.57% |
| ItsTVTime vs Kuma | 5–7 | 41.67% |
| ItsTVTime vs Zafina | 5–6 | 45.45% |
| ItsTVTime vs Panda | 2–4 | 33.33% |
| ItsTVTime vs Armor King | 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.