Question
I currently have code that simulates an American football game. I am looking to make its score randomized using a normal distribution curve from 0-60.
I currently have code that simulates an American football game. I am looking to make its score randomized using a normal distribution curve from 0-60. I am also looking to have it generate a first half score and then build on that to then show a finalized end game score. Here is the code I have so far
#include
using namespace std;
int main() { int home = 0; int away = 0; int total = 0; int winner = 0; int i; int j; int k; int l; int m; int n; int x; int y; int z; int a; int b; int c; int d; int e; int f; int g; int h; int overtime = 0;
default_random_engine engine; normal_distribution
for(i = 0; i < 2; i++) { for(j = 0; j < 15; j++) { total = ceil(distribution(engine)); if(i == 0) { home += total; } else { away += total; } } }
if(home == away) { overtime = 1; }
if(overtime == 1) { default_random_engine engine2; uniform_int_distribution
if(home > away) { winner = 1; } else { winner = 2; }
if(overtime == 0) { cout << "Home: " << home << endl << "Away: " << away << endl; } if(overtime == 1) { cout << "Home: " << home << endl << "Away: " << away << endl << "Overtime" << endl; }
cout << "Winner: "; if(winner == 1) { cout << "Home"; } if(winner == 2) { cout << "Away"; }
return 0; }
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