T-Distribution Vs Normal Distribution: Why can't the former exceed the latter?

Hi. I would like to start by saying that I have a decent understanding of T-Distribution and Normal distribution and can solve basic problems regarding it. However, one thing I cannot understand is why a T-Distribution cannot exceed a standard normal distribution?

I understand that the two will replicate each other as df increases

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But say if I chose samples close to the mean then why can’t a t-distribution be more concentrated?

Thank you

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