This time we’re going bigger than ever. Fabric, Power BI, SQL, AI and more. We're covering it all. You won't want to miss it.
Learn moreDid you hear? There's a new SQL AI Developer certification (DP-800). Start preparing now and be one of the first to get certified. Register now
Hi, I have a data set with list of sports teams and their actions during a game. I have a column for team and a column for their opposition and a calculated measure for number of tackles. Is there a calculated measure I can create that would show the opposition tackles for any given team instead of having to use them in seperate tables as seen below?
Solved! Go to Solution.
Hi @jimmymartin ,
According to your description, in my understanding, there're two tables in your sample,
Team table:
Opposition table:
Then create a measure to extrat the tackles of the opposition team, if this is the case, here's my solution, use the lookupvalue-function to create a measure.
Opposition Tackles =
LOOKUPVALUE (
Opposition[Tackles],
'Opposition'[Oppositon], MAX ( 'Team'[Team] )
)
Get the result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @jimmymartin ,
According to your description, in my understanding, there're two tables in your sample,
Team table:
Opposition table:
Then create a measure to extrat the tackles of the opposition team, if this is the case, here's my solution, use the lookupvalue-function to create a measure.
Opposition Tackles =
LOOKUPVALUE (
Opposition[Tackles],
'Opposition'[Oppositon], MAX ( 'Team'[Team] )
)
Get the result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@jimmymartin , the best is to create a common dimension
refer to my blog on the same topic https://medium.com/@amitchandak/power-bi-when-i-asked-you-to-create-common-tables-a-quick-dax-soluti...
Check out the April 2026 Power BI update to learn about new features.
Sign up to receive a private message when registration opens and key events begin.
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
| User | Count |
|---|---|
| 34 | |
| 31 | |
| 25 | |
| 20 | |
| 16 |
| User | Count |
|---|---|
| 61 | |
| 49 | |
| 28 | |
| 23 | |
| 23 |