Estimating goals lost

I’m analyzing how teams that hit the woodwork often score around 4-5 goals fewer than expected goals (xG). It’s tricky to generalize, so my best approach is to explain estimation: by summing the xG of shots hitting the frame, that gives the expected goals. Some rebounds lead to later goals, but if just direct shots are considered, they'd have scored that xG amount. I can give a range for the user’s question about "how many goals lost?" and suggest answering with "4-6 goals" as a concise estimate.Explaining xG and woodwork shots

I’m considering how to compute data about shots hitting the woodwork. If we fetch from Opta or Understat, we could potentially run a quick script, but I note the user hasn't asked for numbers right now, so it might be unnecessary. I realize I can’t equate woodwork to goals lost without knowing the xG of those shots. On average, shots that hit the frame have a typical xG of around 0.25–0.30, so I’ll provide this range in my explanation to keep it accurate!Estimating goals lost from woodwork

I’m approximating that shots hitting the woodwork yield an expected goals (xG) range of 0.25–0.30. If we apply this to 14 shots, that gives a range of roughly 3 to 5 goals fewer. I can provide a step-by-step method: gather shots that hit the woodwork, sum their xG, and subtract any goals scored immediately after rebounds. My concise answer will be that 3–5 goals fewer is a reasonable estimate. If the user provides a season or round, I can fetch data from Understat for precise numbers.Delivering explanation in Chinese

I don’t need to use a plan tool for this; I can just provide the response in Chinese, keeping it clear and concise. I'll avoid heavy formatting, but bullet points are acceptable. It’s also worth noting that they lead La Liga in woodwork hits, indicating they've had some bad luck. However, I should mention that finishing variance tends to even out over time. With these points in mind, I’ll craft my response accordingly.