Should Texas have gone for it on 4th down?

On Saturday night, Tom Herman made the “risky” play call and chose to go for the first down facing a 4th and 3 from the Oklahoma State 28 yard line. It was clear at that point that this would be a difficult game for Texas to come away victorious. Texas was up 14-6 at that point, with the chance to make it a two-score game, so the calls from many fans, especially after the attempt resulted in a loss of a yard and a turnover on downs, was that Herman should have “taken the points” and not gambled with the score.

What follows is a statistical and numerical defense of the decision to go for it.

First, let’s get out of the way the common complaints:

  1. This is going to be a close game. You should just take the points when you have the chance to.
  2. You have a stud field goal kicker who just nailed a 57 yard field goal last week against Rice. Let him kick the ball.
  3. I agree with gambling sometimes, but I don’t like the decision to gamble here.

All of these are, to some degree, the same complaint phrased differently. Still, I will address each one separately.

1. This is going to be a close game. You should just take the points when you have the chance to.

I agree. When playing a close game, you should do whatever you can to maximize the expected number of points you will score.

Let’s talk about expectation values for a second:

An expectation value is the long run average of outcomes in a trial repeated with the same conditions. For example: the expectation value from rolling a six sided die is 3.5 because you are equally likely to get a 1, 2, 3, 4, 5, or 6 as an outcome and, if you average these values, you get a 3.5.

In this case, we care about the expectation value for how many points one can expect Texas to score facing 4th and 3 from the opponent’s 28 yard line. That is, if Texas repeated the same situation over and over and over again ad nauseam, how many points will Texas, on average, score?

Let’s also state a fact: the absolute maximum the expectation value can be from kicking a field goal is 3. You can never score more than 3 points, therefore assuming a perfect kicker, you could expect 3 points (the maximum) for attempting a field goal in that situation.

Now let’s look at going for it on 4th down:

There are many possible timelines that this can take. For one, you can fail the 4th down conversion and it’s all over right there. Alternatively, if the 4th down conversion is successful, you could continue to drive down the field and score a touchdown. But there are still other options. You could face another 4th down on your way to the end zone and attempt a field goal from there. You could also attempt, once again, to go for it. Maybe something bad happens on the drive and you lose yards. Maybe you turn the ball over. Well, luckily, the data accounts for all these possibilities, so let’s look at it.

How do we use data in this situation?

By looking at the drive-level data, we can take into consideration starting field position and points yielded from the drive. We can then take all data points that share a starting yard mark and average them to get a quasi-expectation value for a drive starting on that yard-line. We can then take those data points a fit a polynomial to get a more smoothed out representation of the expected points we would score at each starting field position. Let me say right now that there are not many drives in a season, so this data is not ideal for making exact conclusions. What it is good for, however, is getting ballpark values. I have no doubt in my mind that Herman and co. have an extensive amount of data that they obtain from Longhorn practice and analysis of their opponents, so their result will be even more informed than mine (but spoiler: mine is still going to come out favoring them).

So I took Longhorn drive data, averaged out common values, fit a polynomial, and got this:

According to the fit: the expectation value for points on a drive starting from the opponent’s 28 (or 72 on this plot) is 4.74.

But wait! Facing 4th and 3 from the 28 is not the same as facing 1st and 10 from the 28. That’s right, there’s a non-zero chance of failing the first down attempt (which we saw on Saturday), and, in fact, if they are successful, the “drive” doesn’t start at the 28, it starts from wherever their successful attempt lands them. To get the expectation value from this situation, in reality, we have to multiply the probability of converting a first down on 4th and 3 by the expectation value for points at whatever yard line they end up on, which is, at worst, on the 25 (so we will use the 25).

So now let’s look at Longhorn 4th down success: Texas was 12/15 on 4th down in 2018 and, going into last night, 3/5 in 2019 (both failures coming on goal-line stands against LSU). From 4th and 3, Texas was 1/1 in 2018, and 2/2 in 2019 before the attempt. We can’t take a value of 100% for this, though, because there is of course the opportunity for failure. Let’s just take our overall 4th down success over the last 2 years, 15/20, into this consideration, given that they are all short-to-medium-yard situations. (Again, I have no doubt that Herman and co. have a TON more data on this and a much more accurate number, but we will use this value here). That’s a success rate of 75%. Furthermore, the expected number of points for a drive starting on the opponent’s 25 (a number that only gets higher the closer you get to the end zone), is 4.91 points. Multiplying the probability of converting the first down by the point expectation value gives 3.68. That means that Texas could expect 3.68 points from going for it and, at most, 3 for kicking the field goal.

Let’s maybe phrase this another way. Texas had the ball 13 times against Oklahoma State. If every one of their drives involved facing a 4th and 3 from the Oklahoma State 28 and Texas chose to kick it every time with perfect accuracy, they would have scored 13*3 = 39 points. If Texas chose to go for it every time, based on 2018 and 2019 results, we would expect them to convert the 4th down about 9.75/13 times (failing 3.25 times), but even with these failures, Texas would end the game with 47.84 points on average giving them an expected 8.84 points more than in the case where they kick it every time (perfectly).

Therefore, in a close game, you should do the thing that is expected to give you more points. It is hard to see that when the attempt results in a failure, but the stats and numbers don’t lie here.

Alternatively, if attempt was successful, and Texas got a touchdown (giving them an extra 4 points over a would-have-been field goal) and the game had ended with a  margin fewer than 4 points in Texas’ favor the decision to go for it would have been the difference maker in the game.

2. You have a stud field goal kicker who just nailed a 57 yard field goal last week against Rice. Let him kick the ball.

Yes, Dicker is a stud with an incredibly accurate leg. I am a huge fan of his and I am so happy that we finally have a reliable kicker. The unfortunate thing here, though, is that this is still a 45 yard field goal. Kicking it from 45 yards isn’t trivial for anybody, even the kickers with the highest success rate in the league. So far, in this analysis, we have assumed a perfect kicker who we can guarantee will hit the ball through the uprights every time. Dicker, even with how good he is, is not that.

Here is a plot showing Texas’ field goal kicking in 2018

And here it is in 2019

I really shouldn’t need to go into more detail here, because it’s self-explanatory, but Dicker was 7/11 from this range in 2018 and 3/4 in 2019. If we take his 57 yarder last week to help his average, he is 4/5 this year and 11/16 from 40-49 (and 57) over his career. If we take all of his attempts fewer than 46 yards, even the ones from 20-29 yards (which significantly improve his average), he is 14/19, or 73.7%. That means (really at best) the real expectation value for kicking a 45 yard field goal is 2.21 points.

Factoring this in, in their 13 equivalent drives, Texas would be expected to score 28.74 points, as opposed to the 48.74 points they would get from going for it.

Again, especially with kicking, I am sure the Texas staff has hundreds of data points for Dicker including lateral ball placement, wind speed/direction, and hundreds more kicks worth of data to get a more accurate average. Still, even we assumed a perfect kicker, it was better to go for it. This is just a reminder that even though Dicker is great, he is not perfect. Nobody is. (Really think about it: if Dicker went 13/13 on 45 yard field goals, that would be mind-blowing.)

I also want to note that going for it gives you an opportunity to kick a shorter field goal (with much higher odds) later in the drive. The endzone is not the only objective.

And finally…

3. I agree with gambling sometimes, but I don’t like the decision to gamble here.

While technically, this fits the definition of a gamble (per Wikipedia “Gambling is the wagering of … something of value [points] on an event with an uncertain outcome, with the primary intent of winning [points]. Gambling thus requires three elements to be present: consideration, risk, and a prize.”), to phrase it as a gamble is a little bit disingenuous. A gamble gives the impression that the odds are stacked against you: that in the long run, with repeated attempts at the same action, you will ultimately lose out, but in this short-run instance, you want to roll the dice and try your luck. That is not what this was, though.

The decision to go for it on 4th and 3, numerically speaking, was akin to investing money in an IRA. In the long run, you will win, but you always risk losing some in the short run due to dips in the market (or failed plays).

It’s easy to call a 4th down attempt a gamble because the outcome is so direct. The risk of failure is more obvious. However, numerically speaking, you are not going to lose in the long run.

Conclusion

I understand that sometimes football isn’t rational. I am often an incredibly irrational fan: seeing a DB get beat by one of the top receivers in the country and complaining about their poor performance, getting frustrated that we might lose a game when the odds are more than 90% that we will win…

However, in this case, Herman made the rational decision to go for it on 4th down. It’s unfortunate that we did not convert, but that is always the risk you take. Kicking a field goal is often framed as “taking the points” because it’s a single event which is often successful. In this case, though, Herman “took the points” by choosing the path that would lead to more points on the scoreboard over the long run. I hope this analysis was convincing of that fact, but if it wasn’t, I can understand remaining irrational. Just understand yourself that what you think is the rational decision is, in fact, irrational.

My Own Issues With the Decision

Okay, now that I have just defended the decision to go for it, I will say this. I don’t like how we went for it. Our intention was to run hurry-up offense, catch Oklahoma State off guard or not ready, and run the ball up the middle for 3 quick yards. This is a good idea if it looked like we were actually catching Oklahoma State off guard, but they were lined up to defend the play well before we snapped the ball. That should have been signal to take a step back, change the play, and run something other than a run up the middle when Oklahoma State stacked the box with about 8 people. I like the decision to go for it, I don’t like the manner in which we went for it.

Texas vs LSU (Visualized)

Looking Ahead for the Texas Longhorns: Week 2 vs LSU

[[Each week this season, I am going to do a comparison between Texas and their upcoming opponent on their ability to successfully turn drives into points and convert in various down and distance situations.]]

Texas will face LSU this Saturday (9/7) for the 17th time in program history. Texas’ all-time record against LSU is 9-7-1, with Texas winning the last matchup in 2003 against a Nick Saban coached team 35-20. You can view the winsipedia page, outlining the two teams, here.

Like Texas, LSU looked impressive in their opening season game against Georgia Southern, winning the game 55-3. Offensively, this earned LSU the 15th best offense from a points per drive standpoint, and the 8th best defense (mind you, this is just after one game). Texas clocked in at #21 offensively and #46 defensively. You can see the full tabulated results by following this link.

Yards Gained By Down

Last week, I looked at just 2018 data because there obviously was no 2019 data to go off of. This week I will present some of the 2019 data, but because Texas’ game was against LA Tech, and LSU played Georgia Southern, I am going to still present 2018 as well to give a better sense of how each team performs against higher-level opponents as well.

A Bee Swarm Plot is a plot that shows all data points grouped by category and value. In this case, each point represents one play at a specified down and distance. The color of the point indicates whether or not a first down was obtained on that particular set of downs. Blue indicates a failure to convert, yellow indicates a successful conversion.
Please click the image to view a larger version of the plot in more detail.

As you can see, much like Texas last year, when LSU got ahead of the sticks (faced 1st down and <10) they were very good, including being perfect on 1st and 5 or fewer. LSU’s swarm plot bulges outward on second down in the 6-9 yard range, however, providing an easy indication that they typically gain only a few yards on first down. Texas has a somewhat bimodal distribution (think: two humps), however there is a clear bulge at 2nd and 4, meaning that Texas more frequently saw 2nd and shorter yardage situations last year than did LSU.

Another interesting takeaway from the Bee Swarm plot of LSU in 2018 is that they were perfect on 3rd and 1 and 3rd and inches. They never once failed to convert at this down and distance. Texas faced about as many 3rd and short situations, and failed to convert on just three attempts. On 3rd and very long (>10), LSU was much less successful. They converted just 5 times out of 40 instances of 3rd and >10. Texas was 7/35 on 3rd and >10.

LSU chose to go for it on 4th down 12 times last season. In three instances, they were unsuccessful. Texas, as mentioned previously, was 12/15 on 4th. In this way, the two teams are quite similar, however Texas never attempted a 4th down longer than 4th and 6, while LSU attempted a 4th and 7, 10, and 19 and were 2/3 in such instances.

Against Georgia Southern, LSU faced 1st and 15 twice, and was unable to convert on one such instance. Much like in 2018, they were also perfect on 1st and < 10 (although all of these situations came on 1st and inches). They were also perfect at converting second down if they gained even just one yard on first. They were 1/1 on their sole fourth down attempt (4th and 1).

Texas was also perfect on 1st and < 10. On the lone instance of facing 1st and 15, they were unable to convert, although they did convert a second and 15 after taking a loss on 1st down. They were 9/15 on 3rd down (at eventually getting a 1st down), and a perfect 1/1 on their lone 4th down attempt, also at 4th and 1.

Play Selection By Down

Texas, as I discussed in the LA Tech write-up, chose to run and pass about equally on 1st down, although there was a slight bias toward rushing. On 2nd down, Texas ran the ball about 60% of the time, and then the numbers flipped on 3rd down where they passed about 60% of the time. On 4th the play selection was as close to 50/50 as you can get with an odd number, where 8 plays were passes and 7 were runs.

This year, likely because of questions at running back, Texas was passing the ball more frequently on every single down. This is observed clearly in the bar charts below.

Texas’ bar charts of play selection by down are shown below where 2018 is the left column, 2019 is the right column, and downs 1-4 are the rows.

Texas Bar Charts of Play Selection by Down

LSU’s choice to run or pass the ball was similar to what they did in 2018 with the exception of 1st down, where they decided to pass the ball more frequently than they decided to run it (21 passes vs 14 runs).

LSU Bar Charts of Play Selection by Down

Success Rate by Play Selection (and Yards/Play)

I am going to break away from 2018 stats for just a second in this discussion, and focus more on down-by-down success for LSU and Texas depending on their play calling. The first thing to note is how similar the first down play choice (and resulting success rate) is between Texas and LSU. LSU, when deciding to pass on 2nd down, was 4/8 at converting, and of their 5 failed drives, 4 occurred when they decided to pass on 2nd down.
Texas was similar on 3rd down, where they were 5/10 when deciding to pass, and 5 of their 6 failed 3rd down attempts came from attempting a pass.
Both teams decided to run the ball on their 4th and 1 attempts, and both were successful. That plot is not shown.

Some assumptions that are made here:

  1. Under all circumstances, a set of downs is approached with the idea in mind that the team in question will be punting or attempting a field goal on 4th down. (Obviously there are cases when teams operate with the knowledge that they will be going for it on 4th and adjust the play calling accordingly, but those cases represent such a small fraction of the total, that worrying about them does not significantly influence the analysis). As such, a team is considered to have 3 plays left on a 1st down, two plays left on 2nd, and one play left on 3rd. 
  2. A play recorded as a Sack is assumed to have originated as a pass play, so while it goes down in the record-book as a run, it is counted in this analysis as a pass.
  3. A QB run for positive yards is considered a rush whether it originated as a pass play with no options down field, or a draw/designed run (the reason for this is a limitation in the data. Without re-watching every play and recording it manually, I just don’t have data that tells me that information).

Now we will return to looking at 2018:
LSU really heavily favored the run in short and medium yardage situations in 2018. When they needed 5 yards per play or fewer (although at 5 it was really closer to 50/50) for a first down, they chose to run the ball more often than pass. In general, Texas is better off looking for a run play against LSU in situations like 3rd < 4, 2nd < 8, etc.

With the exception of just 5 instances in 2019, LSU also decided to run the ball in very short yardage situations (needing < 3 yards per play). LSU was much more likely to pass the ball when needing 4 yards or more per play to get a first down.

Texas actually chose to pass the ball much more frequently in shorter yardage situations (with the exception of 1 yard per play situations). Whether this trend will continue against LSU remains to be seen, however injuries and youth at running back might keep Texas passing in short yardage situations.

Field Goal Kicking

LSU field goal kicking in 2018

Oh… Oh god, no. That’s LSU’s kicking game? Call it a sure thing, because this kicker is 26/27 inside of 45 yards. Wait, what’s that? Oh he graduated? Thank god.

LSU Field Goal Kicking in 2019

Okay, we only have two kicks to go off of for LSU’s new 3-star Freshman kicker Cade York, but nonetheless, he was good in the opener against Georgia Southern. He made both attempts (from 38 and 48 yards) making him 2/2 on the season.

Texas kicker Cameron Dicker did well in his opening game, too (especially when you compare him to the LA Tech kicking game). He was 1/2 on the day, however he attempted two long field goals from 43 (made) and 49 yards (missed). Dicker is now 19/26 in his career as a Sophomore.

Conclusion

Last week, Texas was objectively the better team on paper facing a much weaker LA Tech team. Happily, we lived up to expectations and won handily enough to be able to send in backups for the first time in years.

This week, Texas (and Herman) will face one of their toughest challenges they have ever faced. On paper, LSU is the better team, and they have been much more consistent in the years leading up to this game. However, the reason they play the game is because what happens, and what we expect, on paper doesn’t always happen on the field.

Last year, LSU took an early (and sizeable) lead against Louisiana Tech, only to have them chip away in the 3rd quarter and bring the football game back within reach. Texas didn’t let that happen in their game (though it is a feeling as a Texas fan I am all too familiar with in 2018).

Last year, when Texas was going into the Sugar Bowl to face Georgia, everyone said Texas would lose badly. That didn’t happen.

Finally, Texas has put up a lot of points and won shutouts against bad teams in the past (56-0 against SJSU), and turned out to have a disappointing season. LSU’s ability to beat Georgia Southern (and Texas’ to beat LA Tech for that matter) doesn’t write the closed history on how this season is going to go. LSU looks good, Texas looks good. This is going to be a tough match-up.

I give the edge to LSU on this one. Even if we lose, though, we can still be a good team with a good season.

Hook ’em!

Texas vs Louisiana Tech (Visualized)

Looking Ahead for the Texas Longhorns: Week 1 vs Louisiana Tech

[[Each week this season, I am going to do a comparison between Texas and their upcoming opponent on their ability to successfully turn drives into points and convert in various down and distance situations.]]

The Longhorns will meet the Louisiana Tech Bulldogs at DKR this Saturday. This will be the first ever match-up between these two teams.

Louisiana Tech is coming off of some decent seasons over the past few years, including an 8-5 season last year, and three straight 9-win seasons from 2014-2016.

From a drive efficiency standpoint, Louisiana Tech ranked 88th (of 130) in offense, and 46th in defense. This pairs somewhat well with the Longhorns, actually, who were 36th in Offense and 86th in Defense. According to my end of 2018 algorithmically generated rankings, the Longhorns came out at #9, while Louisiana Tech was down at #92.

Yards Gained by Down (Edge: Texas)

Bee Swarm Plots:

BeeSwarm_Texas
BeeSwarm_Louisiana Tech

The Bee Swarm Plot (click here to view Texas and Louisiana Tech swarm plots in a new tab) shows each play at every down and distance, colored based on whether or not the series of downs resulted in a successful first down. Unsurprisingly, in shorter yardage situations, both teams were more successful than in longer yardage situations. However, higher ratio of orange to blue dots in the plot for Texas indicates that Texas was, overall, better at moving the ball on offense.

When Louisiana Tech was penalized on first down and faced 1st and >10 in 2018, they converted just 25% of the time. Texas did better than 59% (16/27) in these situations. Texas was, however, far more likely to face any given first down behind the sticks.

Boxen Plots:

The Boxen Plots tell a similar story. (Note that I set the y axis from -10 to 50. Louisiana Tech had a couple of plays >50 yards, and both teams had plays that lost more than 10 yards, but neither are particularly significant in the discussion of a standard set of downs). The interquartile range (25th percentile to 75th percentile) of plays gained on each down was similar, however, Texas’ median gain on second, third, and fourth down was higher than Louisiana Tech’s. Furthermore, Texas never lost yards on 4th down all season long.

YardsGainedByDown_noSplit_Louisiana Tech
YardsGainedByDown_noSplit_Texas

Play Selection by Yards (per Play) Needed for a First

This, to me, is the most interesting part. First some assumptions that are made here:

  1. Under all circumstances, a set of downs is approached with the idea in mind that the team in question will be punting or attempting a field goal on 4th down. (Obviously there are cases when teams operate with the knowledge that they will be going for it on 4th and adjust the play calling accordingly, but those cases represent such a small fraction of the total, that worrying about them does not significantly influence the analysis). As such, a team is considered to have 3 plays left on a 1st down, two plays left on 2nd, and one play left on 3rd. 
  2. A play recorded as a Sack is assumed to have originated as a pass play, so while it goes down in the record-book as a run, it is counted in this analysis as a pass.
  3. A QB run for positive yards is considered a rush whether it originated as a pass play with no options down field, or a draw/designed run (the reason for this is a limitation in the data. Without re-watching every play and recording it manually, I just don’t have data that tells me that information).
YPP_Playcall_Analysis_Louisiana Tech
YPP_Playcall_Analysis_Texas

(Web development is not my strong suit, so if you want to see full-size images of these figures, you can go here for Texas and here for LA Tech)

Annotated above the bars are the success rates of that play call at eventually getting a first down. Understandably, both teams choose to run the ball in short yardage situations, and pass in long yardage situations. Texas, however, is much more likely to run the ball at a very short down and distance than they are to pass it. Louisiana Tech, while somewhat successful with their longer down-to-go situation run choices, almost exclusively chooses to pass. 

Texas is more successful at getting first downs at almost every single down-and-distance situation, regardless of their decision to run or pass. 

Play Selection By Down (Texas (2018)):

PlaySelection_Down1_Texas

Texas is about equally likely to pass or run the ball on first down.

PlaySelectionSuccess_Down1_Texas

Their conversion rate is about the same regardless of their decision to pass or run the ball. There is perhaps a slight edge toward finding success running the ball on first down.

PlaySelection_Down2_Texas

Texas is slightly more likely to run the ball on second down.

PlaySelectionSuccess_Down2_Texas

The success rate on second down is almost dead even. Texas goes on to convert about 68% of the time on second down, regardless of called run or pass.

PlaySelection_Down3_Texas

Texas is much more likely to pass the ball on 3rd down.

PlaySelectionSuccess_Down3_Texas

This one is tricky to draw conclusions on. Obviously the numbers say Texas is more successful when they run on 3rd down, but they also choose to run the ball much more frequently in short yardage situations, where is it objectively easier to convert. When choosing (or being forced to) pass it on 3rd down, Texas converts about half the time. They are about 58% successful when running the ball. 

PlaySelection_Down4_Texas

Texas’ play selection is almost dead even on 4th down (8/15 pass, 7/15 rush). Texas never attempted a 4th down longer than 4th and 6 last season and were 12/15 on the season, as seen from the chart below. 

PlaySelectionSuccess_Down4_Texas

Play Selection By Down (Louisiana Tech (2018)):

PlaySelection_Down1_Louisiana Tech

Louisiana Tech is almost identical to Texas in that they choose to run the ball slightly more often than pass on first down.

PlaySelectionSuccess_Down1_Louisiana Tech

Their success rates under both situations are lower than Texas’, but similar to the Longhorns, it does not make a significant difference one way or the other on which they choose.

PlaySelection_Down2_Louisiana Tech

Unlike Texas, Louisiana Tech is more likely to pass the ball on second down.

PlaySelectionSuccess_Down2_Louisiana Tech

Despite their choice to pass the ball, they find slightly more success running, however, the difference is small.

PlaySelection_Down3_Louisiana Tech

Louisiana Tech passes the ball more than twice as often on third down.

PlaySelectionSuccess_Down3_Louisiana Tech

When they are forced to pass, they are not very successful at all, with a conversion rate of less than 40%. When running (in shorter yardage situations), their success is nearly 70%, which is better than Texas. 

PlaySelection_Down4_Louisiana Tech

Louisiana Tech attempted 21 4th down conversions last year. They chose to pass in 12 and run in 9. They found roughly equal success in both situations, however they were slightly more successful when they opted to run. 

PlaySelectionSuccess_Down4_Louisiana Tech

Field Goals (Edge: Texas)

FG_Analysis_Louisiana Tech
FG_Analysis_Texas

Louisiana Tech actually has a slight edge when it comes to kicking at short distance (at least as far as we can say with a pretty small sample size based on last year’s data). Inside 30 yards, Texas was 4/5 last year while Louisiana Tech was 10/11. At longer distance, Texas is more consistent, hitting 8/13 at 40+ with a long of 52. Bailey Hale, the Louisiana Tech kicker, was just 3/8 at that distance, with a long of 46.

Conclusion

There’s no doubt that on paper, Texas is the better team. However, Louisiana Tech, despite their mishaps, are still a good team that should not be overlooked. Texas has struggled in season openers in the last two years under Herman, and with some lost offensive productivity, there might be some questions as to how the Longhorns will perform. Still, I expect Texas to come away from this one with a win.

Notes:

This is my first week ever doing this, so bear with me as I figure this all out, please! I have many ideas for features I want to track in the future. I want to

  1. Track penalty yardage. (By the way, Texas was penalized more often than they received penalties in 2018. This goes both for number of calls and total yardage.)
  2. Get a better breakdown of average yards to go when a team decides to pass/rush at each down.
  3. Look at the punting game of each team and determine the impact that punting will have on the outcome.
  4. Clean up some of the graphs to make them easier to read.

If you want to help in the development of this site, please let me know! I am happy to include other original content!

If you have more ideas, please let me know!

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