| TigerWoods vs King | 66–88 | 42.86% |
| TigerWoods vs Jin | 64–80 | 44.44% |
| TigerWoods vs Heihachi | 54–77 | 41.22% |
| TigerWoods vs Steve | 48–69 | 41.03% |
| TigerWoods vs Kazuya | 61–51–1 | 54.46% |
| TigerWoods vs Hwoarang | 29–78 | 27.10% |
| TigerWoods vs Clive | 49–57 | 46.23% |
| TigerWoods vs Law | 40–57 | 41.24% |
| TigerWoods vs Bryan | 42–55 | 43.30% |
| TigerWoods vs Reina | 40–43 | 48.19% |
| TigerWoods vs Jun | 35–42 | 45.45% |
| TigerWoods vs Lili | 30–46 | 39.47% |
| TigerWoods vs Dragunov | 27–43 | 38.57% |
| TigerWoods vs Yoshimitsu | 35–24 | 59.32% |
| TigerWoods vs Lidia | 24–33 | 42.11% |
| TigerWoods vs Asuka | 29–27 | 51.79% |
| TigerWoods vs Victor | 19–35 | 35.19% |
| TigerWoods vs Azucena | 23–28 | 45.10% |
| TigerWoods vs Lars | 18–30 | 37.50% |
| TigerWoods vs Lee | 22–21 | 51.16% |
| TigerWoods vs Leo | 23–19 | 54.76% |
| TigerWoods vs Nina | 20–22 | 47.62% |
| TigerWoods vs Xiaoyu | 17–21 | 44.74% |
| TigerWoods vs Alisa | 17–21 | 44.74% |
| TigerWoods vs Devil Jin | 10–27 | 27.03% |
| TigerWoods vs Feng | 15–22 | 40.54% |
| TigerWoods vs Paul | 14–22 | 38.89% |
| TigerWoods vs Leroy | 10–24 | 29.41% |
| TigerWoods vs Eddy | 12–22 | 35.29% |
| TigerWoods vs Kuma | 7–26 | 21.21% |
| TigerWoods vs Jack-8 | 12–17 | 41.38% |
| TigerWoods vs Raven | 13–16 | 44.83% |
| TigerWoods vs Claudio | 14–14 | 50.00% |
| TigerWoods vs Zafina | 8–10 | 44.44% |
| TigerWoods vs Shaheen | 6–5 | 54.55% |
| TigerWoods vs Anna | 1–7 | 12.50% |
| TigerWoods vs Fahkumram | 4–4 | 50.00% |
| TigerWoods vs Panda | 2–5 | 28.57% |
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.