not sure what is going wrong

I keep getting this error for my code, "Error using horzcat

Dimensions of matrices being concatenated are not consistent.

Error in Untitled20 (line 35)

muoppshot =[randi(100,Team1OppShots),1];"

my code is

Q1 = 'How many shots does Team 1 shoot per game?';
Team1Shots = input(Q1);
Q2 = 'What is Team 1s overall shooting percentage? (40.0 percent is entered as 40.1)';
Team1ShotPCT = input(Q2);
Q5 = 'What percentage of total Team 1 shots are 3s? (40.0 percent is entered as 40.1)';
Team1ShotType = input(Q5);
Q7 = 'How many shots do Team 1s opponents take per game?'
Team1OppShots = input(Q7);
Q8 = 'What do teams shoot overall against Team 1?(percentage)';
Team1OppShotPCT = input(Q8);
Q9 = 'What percent of shots taken against Team 1 are 3s?';
Team1OppShotType = input(Q9)
Q3 = 'How many shots does Team 2 shoot per game?';
Team2Shots = input(Q3);
Q4 = 'What is Team 2s overall shooting perentage? (40.0 percent is entered as 40.1)';
Team2ShotPCT = input(Q4);
Q6 = 'What percentage of total Team 2 shots are 3s? (40.0 percent is entered as 40.1)';
Team2ShotType = input(Q6);
Q10 = 'How many shots do Team 2s opponents take per game?';
Team2OppShots = input(Q10);
Q11 = 'What do teams shoot overall against Team 2? (percentage)';
Team2OppShotPCT = input(Q11);
Q12 = 'What percentage of shots taken against Team 2 are 3s?';
Team2OppShotType = input(Q12);
n = 1000;                          %number of iterations
Team_1_Prediction = zeros(1,n);    %here's where we'll store the output of each iteratoin
% loop through each iteration
for i = 1:10000
    mushot = [randi(100,Team1Shots,1)];
    mushot(mushot < 100-Team1ShotPCT)=0;
mushot(mushot > 100-Team1ShotPCT)=1;
mushottype = [randi(100,Team1Shots,1)];
mushottype(mushottype < 100-Team1ShotType)=2;
mushottype(mushottype > 100-Team1ShotType)=3;
muoppshot =[randi(100,Team1OppShots),1];
muoppshot(muoppshot < 100-Team1OppShotPCT)=0
muoppshot(muoppshot > 100-Team1OppShotPCT)=1
muoppshottype = [randi(100,Team1OppShots,1)];
musopphottype(muoppshottype < 100-Team1OppShotType)=2;
muoppshottype(muoppshottype > 100-Team1OppShotType)=3;
mushot;
mushottype;
mupointarray =[mushot(:) .* mushottype(:)];
mupoints = sum(mupointarray(:));
muopppointsarray = [muoppshot(:) .* muoppshottype(:)];
muopppoints = sum(muopppointsarray(:));
muteamprediction = mupoints *0.8 - muopppoints *0.2;

usmshot = [randi(100,Team2Shots,1)];
usmshot(usmshot < 100-Team2ShotPCT)=0;
usmshot(usmshot > 100-Team2ShotPCT)=1;
usmshottype = [randi(100,Team2Shots,1)];
usmshottype(usmshottype < 100-Team2ShotType)=2;
usmshottype(usmshottype > 100-Team2ShotType)=3;
usmoppshot = [randi(100,Team2OppShots,1)];
usmoppshot(usmoppshot < 100-Team2OppShotPCT)=0;
usmoppshot(usmoppshot > 100-Team2OppShotPCT)=1;
usmoppshottype = [randi(100,Team2OppShots,1)];
usmoppshottype(usmoppshottype < 100-Team2OppShotType)=2;
usmoppshottype(usmoppshottype > 100-Team2OppShotType)=3;
usmshot;
usmshottype;
usmpointsarray = [usmshot(:) .* usmshottype(:)];
usmpoints = sum(usmpointsarray(:));
usmopppointsarray = [usmoppshot(:) .* usmoppshottype(:)];
usmopppoints = sum(usmopppointsarray(:));
usmteamprediction = usmpoints *0.8 - usmopppoints*0.2;

 
    Team_1_Prediction(i) = muteamprediction - usmteamprediciton;   % <-- store value of i_th iteration
end
Game_Prediction_For_Team_1 = mean(Team_1_Prediction(i))

[Adam Danz]

The same code was in this question and now that question is empty.

https://www.mathworks.com/matlabcentral/answers/449709-run-many-iterations-of-a-code

[madhan ravi]

[randi(100,Team1OppShots) ones(Team1OppShots,1)]

[Hunter Herrenkohl]

That question was partially this code, this is updated

[madhan ravi]

No you don’t edit after someone has answered the question!!

Answer 1

[Adam Danz]

Based on your other lines of code,

muoppshot =[randi(100,Team1OppShots),1];
%                                  _ error

should be

muoppshot =randi(100,Team1OppShots,1);

There are other improvements you can make. The square brackets were not necessary. Also if you're going to define 'n' iterations of your loop, then

for i = 1:n

instead of

for i = 1:10000