Tier 1 - Long Form Task - 10 TPE
6) Write 800 words or more on something about anything in the league that interests you. It could be related to statistics, a league issue that you take seriously, or a niche part of history that doesn’t fit neatly into either of the above categories. This must be directly related to the league, so don’t wax 800 words about your team’s participation on a Werewolf server or something.
Earlier in the year, I tried to create an objective scoring system for players using historical averages which I called the WADI, and now I’m back with this seasons scores for Free Safeties.
I use Z-scores to try and measure how people performed in each stat against the historical average. To get a Z-score you need to know the mean (or average) and the standard deviation. A standard deviation is a measure of how much variance there is between all the numbers and gives you an idea of how spread out the results are. A Z-score of +1 is a number that is one standard deviation above the mean and -1 is a number one standard deviation below the mean. For instance, the average number of tackles in a season is 62 and the standard deviation is 19. If a player got 62 tackles, they would get a z-score of 0 whilst if they got 43, they would have a Z-score of -1 (as that is 1 standard deviation below the mean). If they had 81, they would get a Z-score of 1 as that is one standard deviation above the mean. By giving the player a Z-score for each stat and then finding an average of them I can get an idea of how much better or worse they performed to the average overall.
I refined my model a bit by removing outliers from the calculations for the mean and standard deviation. The players who scored those outliers still got credit for having a massive number of one stat, but I didn’t include them in the creation of benchmarks.
So, let’s have a look at how this seasons DSFL Free Safeties got on.
My highest rated DSFL safety this year is Derek Wildstar from the Kansas City Coyotes followed closely by Moe Skeeter from the Portland Pythons. Wildstar made all different types of plays and the WADI scoring system loves all-round performances. Whilst Wildstar had slightly above average Interception numbers, getting 3 which gave them a Z-score of 0.22, they excelled in Forced Fumbles, Fumble Recoveries and Sacks where they got Z-scores over 2 for all of them. They had a solid amount of tackles with 83 which gave them a Z-score of 1.1 for that stat helping to boost their overall average. . This is an impressive season making a lot of big plays and forcing turnovers in lots of different ways. Wildstar’s overall score of 8.45 is 11th best of all time in WADI scoring.
Moe Skeeter scored a very respectable 8.26 which placed them 16th all-time for DSFL safeties. Skeeter had an amazing season for sacks getting a whopping 8 of them. This gave Skeeter a massive Z-score of 4.18, which is off the scale, but the lack of forced fumbles/recoveries hurt their overall average. They were no stranger to big plays getting a pick 6 and a safety! They had an average amount of Interceptions matching Wildstar’s 3 and a very solid 76 tackles, which is enough for a Z-score of 0.74. Overall a very good season for Skeeter which helped the Portland Pythons to an impressive 13-1 record and a spot in the playoffs.
Next up is Jonasredfield Gabjonson for the Bondi Beach Buccaneers. Gabjonson scoring 7.73 WADI which is the 3rd highest score this season, even though they only have 55 TPE and are listed as a CB on their player page. They put up impressive numbers in forced fumbles(2) and fumble recoveries(2) along with scoring 2 touchdowns. They also had a solid amount of interceptions with 3 and had 1 sack. They had a below-average amount of tackles but overall, they made a lot of high impact plays and outplayed their modest TPE totals. A true underdog story of the little guy mixing it up with the more established names in the DSFL.
In 4th place is ME Steven Wadham. I had a solid season scoring 7.34 in the WADI. My season was kick-started by a crazy hot streak early on which helped me end up with a rather impressive 5 interceptions and 3 Sacks not to mention 2 TD. I had an average amount of tackles getting 69 (nice) but the lack of Forced Fumbles or Fumble Recoveries hurt my overall score. The WADI loves an all-rounder so the fact I never even managed one of either hurt my totals and kept me out of the top 3. Still a respectable season with some huge games, but an underwhelming close to the season stopped me from bothering the top spots.
It will be interesting to see how the new SIM changes the averages with people having completely different attributes and different schemes. I think it wouldn’t be right to judge the seasons side by side, but it would be cool to do a comparison.
807 Words + a pretty picture
6) Write 800 words or more on something about anything in the league that interests you. It could be related to statistics, a league issue that you take seriously, or a niche part of history that doesn’t fit neatly into either of the above categories. This must be directly related to the league, so don’t wax 800 words about your team’s participation on a Werewolf server or something.
Earlier in the year, I tried to create an objective scoring system for players using historical averages which I called the WADI, and now I’m back with this seasons scores for Free Safeties.
I use Z-scores to try and measure how people performed in each stat against the historical average. To get a Z-score you need to know the mean (or average) and the standard deviation. A standard deviation is a measure of how much variance there is between all the numbers and gives you an idea of how spread out the results are. A Z-score of +1 is a number that is one standard deviation above the mean and -1 is a number one standard deviation below the mean. For instance, the average number of tackles in a season is 62 and the standard deviation is 19. If a player got 62 tackles, they would get a z-score of 0 whilst if they got 43, they would have a Z-score of -1 (as that is 1 standard deviation below the mean). If they had 81, they would get a Z-score of 1 as that is one standard deviation above the mean. By giving the player a Z-score for each stat and then finding an average of them I can get an idea of how much better or worse they performed to the average overall.
I refined my model a bit by removing outliers from the calculations for the mean and standard deviation. The players who scored those outliers still got credit for having a massive number of one stat, but I didn’t include them in the creation of benchmarks.
So, let’s have a look at how this seasons DSFL Free Safeties got on.
My highest rated DSFL safety this year is Derek Wildstar from the Kansas City Coyotes followed closely by Moe Skeeter from the Portland Pythons. Wildstar made all different types of plays and the WADI scoring system loves all-round performances. Whilst Wildstar had slightly above average Interception numbers, getting 3 which gave them a Z-score of 0.22, they excelled in Forced Fumbles, Fumble Recoveries and Sacks where they got Z-scores over 2 for all of them. They had a solid amount of tackles with 83 which gave them a Z-score of 1.1 for that stat helping to boost their overall average. . This is an impressive season making a lot of big plays and forcing turnovers in lots of different ways. Wildstar’s overall score of 8.45 is 11th best of all time in WADI scoring.
Moe Skeeter scored a very respectable 8.26 which placed them 16th all-time for DSFL safeties. Skeeter had an amazing season for sacks getting a whopping 8 of them. This gave Skeeter a massive Z-score of 4.18, which is off the scale, but the lack of forced fumbles/recoveries hurt their overall average. They were no stranger to big plays getting a pick 6 and a safety! They had an average amount of Interceptions matching Wildstar’s 3 and a very solid 76 tackles, which is enough for a Z-score of 0.74. Overall a very good season for Skeeter which helped the Portland Pythons to an impressive 13-1 record and a spot in the playoffs.
Next up is Jonasredfield Gabjonson for the Bondi Beach Buccaneers. Gabjonson scoring 7.73 WADI which is the 3rd highest score this season, even though they only have 55 TPE and are listed as a CB on their player page. They put up impressive numbers in forced fumbles(2) and fumble recoveries(2) along with scoring 2 touchdowns. They also had a solid amount of interceptions with 3 and had 1 sack. They had a below-average amount of tackles but overall, they made a lot of high impact plays and outplayed their modest TPE totals. A true underdog story of the little guy mixing it up with the more established names in the DSFL.
In 4th place is ME Steven Wadham. I had a solid season scoring 7.34 in the WADI. My season was kick-started by a crazy hot streak early on which helped me end up with a rather impressive 5 interceptions and 3 Sacks not to mention 2 TD. I had an average amount of tackles getting 69 (nice) but the lack of Forced Fumbles or Fumble Recoveries hurt my overall score. The WADI loves an all-rounder so the fact I never even managed one of either hurt my totals and kept me out of the top 3. Still a respectable season with some huge games, but an underwhelming close to the season stopped me from bothering the top spots.
It will be interesting to see how the new SIM changes the averages with people having completely different attributes and different schemes. I think it wouldn’t be right to judge the seasons side by side, but it would be cool to do a comparison.
807 Words + a pretty picture