Based on football data I am looking to create a league table which will give rankings of all the teams, the only difference is, each game week, teams will earn points based on the current ranking of the team they are playing.
So week by week, the excel document (with data added) will need to work out league position, work out who plays who, and then allocate points based on the result and the teams ranking of that week(which would be accumulated up to that week)
Ie, if Arsenal - Ranked 1st played Stoke Ranked 18 - and stoke won - Then the score stoke would receive for that week would be completely based on how high Arsenal was in the league..
This is a broad question, but I'll take a crack at answering it.
If you have a worksheet with ranking by week, say with team in col A then rank in each column thereafter, you could then refer to this with a relative cell reference. If you need the ranking to be calculated, that could be done on the weekly ranking sheet. A formula on a worksheet for points calculated might end up being something like:
='points'!b2/'weeklyrank'!b2
This would divide points by a team's rank in the prior week, thus awarding more points for higher ranked teams, assuming that is the objective. There are all kinds of ways to tweak this. Hopefully this gets you started.
If you have a question about how to calculate the rankings, I would post it as another question, but with more detail.
Related
(I use the term "teams" generically here because the entirety of this question rests on ranking, and it seemed to be the most intuitive language to describe my problem.)
In a league of 30 teams, each day only 8 teams play. The results for those teams are ranked ordinally from 1 to 8 for the day. This continues "forever", so that additional results must be recorded every day.
Example after 4 days:
I want to calculate a single number to describe the relationship between two teams. For instance, given the example, the value (in a 2d table) that describes the relationship of Ace to Get is 1. Ace beat Get twice and Get beat Ace once (2-1).
I have been messing with Sumproduct, Match, and Index to get get values, which I could calculate using many extra tables, but I may need to add "teams" on the fly, and I do not know how large the pool of teams will become. Because of this, I was hoping to be able to use a single formula in the 2d relationship table. The results of that table, looking at just day 1 and day 2 given the previous example, are:
Is there a direct formula I can use to calculate the results to populate that table?
You can try following formula:
=IF($A11<>B$10;
SUMPRODUCT(
IF(MMULT(($B$1:$I$1)*($B$2:$I$3=$A11);ROW($1:$8)^0)
<MMULT(($B$1:$I$1)*($B$2:$I$3=B$10);ROW($1:$8)^0);
1;
-1)
*(((MMULT(--($B$2:$I$3<>$A11);ROW($1:$8)^0)=8)
+(MMULT(--($B$2:$I$3<>B$10);ROW($1:$8)^0)=8))
=0));
"")
Copy right and down.
I've spent a a lot of time trying to find a solution to the following issue but I haven't been able. There are similar threads to this issue both here and on other forums but they don't seem to be applicable. Please let me know any best demonstrated practices regarding posting on this forum that I may be going against.
I would like to be able to dynamically (and hopefully in as simple way as possible) create measures (ideally NOT via calculated columns) in power pivot to be able to carry out percentile analysis (e.g., value associated with top quartile, top quintile, third decile, etc etc) on different subsets of my data (in a pivot table). For example, I might want to create the percentile based on the yearly sales associated with a shop (although the records I have are based on monthly, or another time period).
Here is what this data could look like as an example, as well as what the results would be on this data (I did this jammily using excel). I know that there is a way to do this using calculated columns but I want to try and do it using measures (e.g., maybe using a combination of sumx, percentiles, top n??).
In case you're not able to view the picture of my data, my data is structured as such:
===============================================================================================
**Shop ID** ## **Value** ## **Metric**## **Period** (e.g., mm / yy) ## **Franchised or Co Owned** ## **Year** ## **Quarter**
===============================================================================================
1 50 etc etc please see screenshot! thank you
2 70
3 90
Additional explanation on data
Shop ID could have many entries
Value is the value for each metric - the record is based around having a value for each metric for each shop id for each month (or other time period)
Metric could be things like sales, ebitda, car count, etc etc
Period is typically month
Shop status could be "Co - Owned" or "Franchised"
Year and Quarter are based off the period
I want to be able to get percentile values for sales in a given period (e.g., total yearly sales for a given year, total quarterly sales etc) for whatever slicer i have going on for the current pivot table.
Super grateful for any help!
Thanks,
Louis
OK, I think I found an answer. Something like this formula might work:
PERCENTILEX.INC(ALLSELECTED(Facts[ID]),SUMX(ALLSELECTED(Facts[Period]),[Sum Values]),[Percentile Definition])
Sorry if this has been answered and I feel it may have but I am struggling to find an answer that helps me to the point of success.
I have a basic spreadsheet for time trial results. The spreadsheet is for both men and women. Basically, points are awarded for the quickest times throughout the entire competitors on 30 second intervals which is fine (Cloumn N)...(I have managed this)
My question is - On top of this the top 7 men in ranked position is awarded additional bonus points and the top 3 (only because there is normally less women attending the events than men) women are also additional awarded bonus points.
I have set up a column to specify M or F (Column C) when a competitor is added, and also using RANK
=IF(G7=0,0,RANK(G7,$G$6:$G$36,1)-COUNTIF($G$6:$G$36,0))
on the times - Column K
But I am really struggling with how to use a formula to extract the top 7 men and top 3 women and award the points. Ie there will be a 1st place man - 7th but also a 1st place woman - 3rd. So in essence is there any way I can extract the two sets of rankings from the identification of F and M from the appropriate column.
At the moment I can only get the a basic ranking and using an IF(AND) statement I can return results to apply the bonus points if the conditions are matched but this doesnt help with identifying the rankings according to Male (1st-7th) or Female (1st-3rd)
You can also see on my screen dump that although I havent added the formula for assigning the female points that because of the conditions been met I dont have bonus points awarded for 5th place because I set sex to F which I was hoping someone could also help me with
Sorry for waffling but I have been toiling with this 3 days now and I am just going in circles
Really appreciate any reply
Just use COUNTIFS:
=IF(G6=0,0,COUNTIFS(C:C,C6,G:G,"<" & G6,G:G,"<>0")+1)
This will rank the like entries in C, thus giving two 1st, one male and one female.
To add for the Club just add another condition:
=IF(G6=0,0,COUNTIFS(C:C,C6,G:G,"<" & G6,G:G,"<>0",B:B,B6)+1)
I'm looking for the best way to analyse the following data.
This is the amount in hours an employee has taken in a year and what remains. The data bars are a percent of hours taken from what they're allotted, shown in column K. Col I is how many hours they have left, and col J shows the cumulative holiday they've taken throughout the year.
I need the relevant info shown on one row where each row will be an employee's holiday history. Different employees have different hours and I need a way that shows who is in most need of taking holiday when that filtering from largest to smallest etc.
Where I find this tricky is if an employee had 10 hours allotted, and has taken 2 hours, that's 20%, which is the same if someone had 100 hours and has only taken 20 hours. But it's clearly more important that the second employee uses up some of their leave. I'm struggling with the best way to represent this.
I have set-up a file with player names, positions, statistics, rankings, and salaries. I am trying to use Excel Solver (as described by #Ioannis regarding a football post from October 2013) to optimize a fantasy baseball line-up. The issue is Excel is picking players for positions they do not play. For example, a pitcher is being selected as the optimal outfielder in my "answer" line-up. How do I tell Excel to recognize the positions that I've posted above each player's name in my data table so that the "answer" matches the real-life position eligibility for each player?
Thank you so much! I'm pretty much brand new to the Solver add-in, but I'm very fascinated by it.
Drew
What you describe is an additional set of constraints. The typical way to incorporate such constraints is to have a binary matrix of player names as rows and positions as columns. A 1 in any (player,position) pair should denote the position of that particular player. Then you should have formulas that link the binary player variables with the number of players used in each position. Think about the spreadsheet design carefully, because it might become messy. For more than 200 variables you might want to check SolverStudio or OpenSolver. – Ioannis