ag80n
Knows what a fatty is.
- Joined
- Oct 21, 2013
- Location
- Calhoun, GA
We have decided to try to crunch some numbers, beyond just looking at the raw scores, to see if we can figure out where we might improve. I will outline below what I have done so far but I am also interested in suggestions for improvement or other ways I might look at the data.
What I have done so far:
Created a percentage rank for each contest’s overall placement and each meat and graphed it. The closer to 1st place the higher the percentage would be (a 1st place would be 100%). This number doesn’t really show much except whether we are moving into better positions or out. It does not show us if the opposition was tough or if our scores actually improved. The one thing this helps with is seeing if the 21st place out of 45 teams was any better placement than the 18th out of 40 teams.
The next calculation actually seems to be more useful. I took the top 10 teams’ scores overall and for each meat and averaged them. Then I subtracted our score from the average for an offset. What this showed me was how far out of the middle of calls we were. It mitigates somewhat the difference in high scoring contests vs low scoring ones. Let’s say the pork average for a contest was 172 and we were at 164 for an 8 offset but the next contest the average was 169 and we were at 163 for a 6 offset. Even though the score looks worse the offset is better and shows that we probably gained a little at what was just a lower scoring contest.
The finale task is to take appearance, taste and tenderness scores, drop the drop score, and create an average for each. I then will graph those averages with the scores to see what caused a score to go up or down. We have notes on recipes, timelines, and box pics that we can go back to to see just what we did.
Maybe this will help us. We have already noticed one thing in that we have actually trended up a little overall even though we didn’t feel that way.
Thoughts?
What I have done so far:
Created a percentage rank for each contest’s overall placement and each meat and graphed it. The closer to 1st place the higher the percentage would be (a 1st place would be 100%). This number doesn’t really show much except whether we are moving into better positions or out. It does not show us if the opposition was tough or if our scores actually improved. The one thing this helps with is seeing if the 21st place out of 45 teams was any better placement than the 18th out of 40 teams.
The next calculation actually seems to be more useful. I took the top 10 teams’ scores overall and for each meat and averaged them. Then I subtracted our score from the average for an offset. What this showed me was how far out of the middle of calls we were. It mitigates somewhat the difference in high scoring contests vs low scoring ones. Let’s say the pork average for a contest was 172 and we were at 164 for an 8 offset but the next contest the average was 169 and we were at 163 for a 6 offset. Even though the score looks worse the offset is better and shows that we probably gained a little at what was just a lower scoring contest.
The finale task is to take appearance, taste and tenderness scores, drop the drop score, and create an average for each. I then will graph those averages with the scores to see what caused a score to go up or down. We have notes on recipes, timelines, and box pics that we can go back to to see just what we did.
Maybe this will help us. We have already noticed one thing in that we have actually trended up a little overall even though we didn’t feel that way.
Thoughts?