Haha I'm glad. In my experience F1 itself is just as silly.. you can spend millions perfecting a car and simulating everything only for your driver to crash into a wall, which is exactly the kind of chaos that inspires this channel
Glad you introduced variance (or standard deviation) in the end. Saw that problem coming from quite early on, and then you mentioned Monza being mid after six categories.
@@MrVsGaragePerhaps doing a ranking for difference from 12.5 rather than an average would have made more sense. That way tracks with outliers would be punished because you definitely arent average if you max out one ranking and bottom out the other
@@slaterstimson yes, really thankful that a couple have reached out in the last few months. It's a big step towards the dream of making this channel a full time job!
As a former data analyst I would suggest to take the distance from 12# as the metric and not the actual placement from 1# to 24#. That way you don't count tracks which are extreme in both diterctions as avarage. For example, if a track ranks #2 in shortest and #22 in most turns per km, I wouldn't call it an average track, and the new metric would give a distance of 10 and 10, a opposed to a track who gets #13 and #8 for example, would get a distance score of 1 and 4, which more accurately represents what I think you meant as "averageness".
Best way I could think of would be to use the absolute values at both the 1st and 3rd quartile and give them a score of 100. Take the average of those two values and give it a score of 0. Now you have a two-way linear graph you can plot all the points into. This way you can account for very big gaps in absolute numbers on tracks that are only 1 position apart (looking at you monaco...). You'll end up with an averageness-score where lower number = more mid track.
14:45 made me really happy because this was my initial thought when you said you would use the average to determine 'averageness'. Another banger of a video!
Based on the information presented in the number of cornsers section, how about a video searching for the "Least Corneriest Corner" or the "Curviest Straight" That feels like the perfect pointless topic I'd love to watch a man explain his Excel sheet about for 30 minutes :)
Maybe its just video game nostalgia speaking, but I've always loved Cataluña precisely for its average-ness. It's a quintessential, downforce reliant racetrack, that in-game, is easy to understand and fun to drive. I don't mind that the racing isn't flashy, because I have an appreciation for the smoothness it takes to go fast, and for how impressive it is to pull those kinds of g's consistently, lap-in and lap-out.
genuinely the best f1 youtuber out there. 17 minutes felt like 5 its so engaging. i think this type of content is just much more fun than hearing the same news from a million different sources
For some reason, I feel like the only one who likes Barcelona as a track. That is from a driving point of view. I think sectors 1 and 2 are so fun to drive. And since they got rid of the chicane, sector 3 is also ok. Racing wasn't great of course though, I agree. But this and last year were good races with a lot of overtakes. To me the bad races of the past were more due to the cars, not due to the track.
As a kid I played Gran Turismo and the old F1 games a lot and Catalunya was always my favourite track to drive! But yeah it's just not suited for F1 cars, they're too big and fast for this track
I was preparing for the Excel madness where you would compare all the results of all the years of an f1 track against the final championship standings and see which ones the cars finish in the same order that they will finish in the championship.
If you were to ever expand this idea here are some other categories: Wetness - % of wet sessions at the track Safety - Average number of safety cars/ virtual safety cars/ red flags that occur at the track each season Temperature - Average temperature of the track ( not the track surface) Consistency - how many times the track layout has changed (e.g a corner gets added/ removed between seasons) this should not include things like adding a new gravel trap or redesigning a barrier History - how long the track has been on the f1 calendar ( no. Of seasons) Difficulty - average no of drivers that dnf at the track each season, this should include dnfs due to mechanical failures as it shows the track is tough on the cars components ( this is quite similar to safty so you could just pick one or the other, or you could try find a way to combine them) Pitlane - how long the pit lane is in meters Run - distance between the start/ finish line and the first corner Competitiveness - how many overtakes occured the at the last race held there ( on include on track overtakes) Chonkyness - how wide the track is at its widest point ( or if it's easier how wide it is at the start/finish line Banking - the tracks steepest banked corner Cheekyness - no of track limit violations that occured at the tracks last held race
the best way to define a straight in f1 is to assume, whether the given sector of the track can be approached with drs opened. You can't do that in Eau Rouge, but you certainly can do Baku last corners. stay with me now
One of the most interesting ones in Saudi Arabia, being the Windiest track, but also having the 2nd highest average speed. Goes to show just how fast the corners are at that track.
Montmeló is a great track: turn 1 to 3, turn 9 and 10, the last 2 turns since the Tilke's shame chicane was removed, the elevation changes. Its really nice stuff
I know this is late, but instead of averaging the rankings in these categories you should have given points for how far you were from the average. For example, the 12th ranking in a category should get 1st place points and the 24th ranking in a category should get 12th place points. You can choose the points system.
I love that they test in Bahrain now, mainly because it has a similar mix of corners to Catalunya, but doesn't have the problem of being impossible to pass on. You can't really get good races at Catalunya when winter testing is there because you get too much data on a track that's too hard to pass on. At Bahrain we literally see overtakes on every angle through every corner.
04:48 153 km/h at Monaco is just insane. I knew more or less what the average at Monza was, and that's crazy already, but everything can go fast if you put a big engine in it, Monaco though... honestly didn't expect it to be that quick.
You should've tested the correlation of the average result for each driver in each circuit excluding the circuit being tested with the results on that circuit, and see which circuit was the most representative of results in all tracks.
On the ticket prices and travel point. It was (substantially) cheaper for me to go to Hungary and stay in a nice hotel with a great spot to watch than it was to go to Silverstone and camp and sit on a grassy verge to have a slight glimpes of cars and absolutely no chance of seeing an overtakes.
12:58 The 1964 Dutch Grand Prix had been won by Jim Clark, from p2 on the grid. Granted, you are probably only looking at the current track layout but still.
Typically, to find a prototypical datum in a set, you would calculate the centroid (average, dimension-wise) or medioid (median, dimension-wise) and then calculate the L2 distance (Euclidean distance) of each point to it. Basically, find the center (in some sense) of the data in a high-dimension space. Comparing ranks is *a thing*, but it doesn't fit in this case.
It might be interesting to compare each grand prix result to season results. Therefore if we count season results as average performance, we can determine track with most average results
Great video just one minor thing: if one the benefits of finding the most average track is to see if your car would perform well on it, what does attendance and ticket price have anything to do with that?
I'm glad I didn't comment halfway through the video. I was judging you all the way through for your methodology, until you pulled out the uno reverse and did what I wanted you to do! Only comment now is that I would have considered something like corner type rather than windiness (or looked for the variance in corner apex speeds assuming the data is available).
mr V posted this on the 28th of June i.e. the very beginning of the Austria race weekend. At the end of the video he questioned and predicted whether Merc and Ferrari could start challenging for wins too; since that day, every grand prix that has occurred (Austria and Britain) has been won by a Merc! funny how that worked out
I love your videos. You’re the only one that does these maths analyzations like you do. I’ve been subscribed from the beginning. Think you had maybe 500 at that point. Keep it up. You’re doing something different, which is important.
To be fair, one of those Monaco 2nd place wins is Verstappen starting from the front (but technically still grid position #2) in 2021. Which brings down the average to 1.67.
YESSSSSSS THE MADNESS IS BACK LETS GOOOOOO, Always love a "we're gonna do all of them, baby" your efforts and dedication inspire me to try harder, Keep it up big guy ! Edit: I love the water splash transition, its toooo good
This is fire. Data/statistical literacy is really wuite hard to find so this channel has been a breath of fresh air. Always looking forward to the vids!
I believe you should add one more category: temperature. I know it changes minute by minute but, you could find the average temp of the last ten years for example. Its an important factor because of tire degradation , engine overheating and driver exhaustion.
I did play around with Catalunya in RTB, taking into consideration how much land they have, the elevation changes, grandstands, access to grandstands, escape roads, marshalling posts etc etc. The change they made are pretty much the only kind that you can do on short notice and without drastically changing the whole layout of the track. I did check the changes Mr V did and i disagree with most of them (the 1st corner idea is good, the rest... difficult to do , and they pretty much destroy the classic track without offering any aid to the actual problems...), the actual changes are still better when we take ALL the stuff that tracks need to consider when making changes. It is easy to just draw lines on google maps, you need to look at everything else but the track to understand why.. the changes made were really the only changes they could've made. A huge problem is the last two corners, the wall on the outside is so close to the lot edge that there simply is no way to move then any further. And the last corner IS UNSAFE!.. but only a little bit, probabilities are quite low for a major catastrophic accident but the danger is there. Accidents in that corner are going to lead to red flags but so far, we haven't really had any, as it is quite easy corner. But... it is just a tiny bit too fast. It is not the only corner in the calendar that is borderline, Eau Rouge has too much compression and Radillion has unfavorable trajectory that should push walls much further out, but there is a sheer 40m drop on he other side... and it is classic. But, if we were allowed to do anything... Catalunya could have 30m hill!... It could have massive elevation change leading to a downhill braking and form a real backstraight that is close to main straight in length. You would go from 7th and cut thru everything between it and T12. Then do snake esses after it and we back to the old track at the last corner which would be taken at around 200kmh. It would also shorten the pitstop time quite a bit, giving it more tactical opportunities. I made a mockup and tried it in a sim, and it is a hoot but of course, cost about 100 million and couple of years.
I would love to see a video on average grid positions for champions in different categories, like f2 its probably 4th as the best starting position to take advantage in both races
Nice video. btw, instead of elevation you could also use average / median atmospheric pressure. It removes the different measurements while still giving a clear indication of the air density.
For the windiness stat to be more accurate (at imola for examlpe) you could change it to total direction change over a lap (in degrees - absolute, otherwise it would always be 360°). or total direction change per kilometer. Thanks for another great video! I enjoyed it alot.
i feel like the best way do do this wouldve been to map each score for each track as a coordinate in 15-dimensional space, and then calculate each track as a point and score them based on 1-dimensional distance from the point with each of the 15 coordinates equalling 12.5 🤔
Love the video. This is the first video I have watched of yourself so hello! Thinking about the elevation stats it might be more indicative of performance to look at air density (air pressure and temperature ) rather than elevation as it is the reduction in air density that affects the power rather than elevation itself. But might be harder to find the stats as it's depended on weather on race weekend. Also might be thinking about temperature/track temperature for another stat. That would sit nicely into the model you have already implemented!
Some of the weather aspects: - average temperature (preferably broken down in both track temperature and air temperature) - precipitation - wind speed Probably Barcelona would still be the most mid though after taking those into account
13:50 I would like to say that in 2021 the pole sitter didn’t even start the race and Verstappen started from the p1 grid slot. Not that it changes anything
Great video! I'm a big fan of your videos and this is another great one. Thanks for making it! From your other videos I'm guessing you already know all this, but as a mathematician it'd be remiss of me not to point out that variance is the *only* measure you should be using here, not the average position. To find the most average track you want to find the one with the fewest extremes, because being extreme in different directions is almost the opposite of being average. This is especially compounded by some of the "which is 1 and which is 24" being subjective calls that have no bearing to each other - for example, "elevation" could easily be "proximity to sea level" and have the exact opposite order, and that wouldn't have any impact on whether a track has a shorter distance from the line to first corner, etc. It's also obviously worth pointing out that sample size is always going to be an issue here, because which track is the most average will change depending on the style of cars in play. Obviously a V8 to a V6 or whether or not a car is ground effect-driven isn't going to change the elevation of a track, but in terms of taking the fastest lap around each track, how easy it is to overtake and the like, some old data is just not relevant - but on the flipside, if you don't include the old data, there's not really enough data to make some of the points you're trying to make. I appreciate there's no good solution to that though, unless we want to convince the FIA to run each track 100 times with the same ruleset and weather conditions* in order to give us some reliable data. And given they didn't accept your perfectly cromulent suggestions for how to change Circuit de Barcelona Catalunya, they might be frustratingly inflexible on that point. *On the subject of weather, I'd have loved to see this included in the data - probability for wet races! Arguably a terrible metric since it'll depend on when in the calendar the race takes part (I say with the experience of someone who was at the British Grand Prix in the year 2000 when for some inexplicable reason it took place in April and, in an incredible plot twist, it rained). But still, if we're trying to find an average track, there's a clear distinction between a wet race and a dry one. Also on a related note, average number of safety cars could have been something to consider. Just some ideas in case you ever do a sequel to this video. Thanks again!
Barcelona WAS pretty easily the most average prelayout engoodening. Much slower hairpin and the chicane really helped balance it out to that performance averaging aspect IMO. Also it's high deg but not bahrain, qatar, or hungary level
You should have made the first and last in each category have the same score (and the same with second and second to last and so on) so that a track that had a first and a last wouldn't have a higher score than a track that got 12th twice.
The reason Baku doesn't have the highest top speed is purely down to the setup of the cars. Because of sector 2, they can't use Monza-level front and rear wing planes. It's no question that they could be much faster than Monza by the time they reach turn 10, but they'd lose so much time in sector 2 that it's not worth it. Also adding that the main reason pole wins in Monaco less than half the last 10 years is because something happens to the polesitter that's out of their control. Lewis 2015, Danny 2016, Leclerc 2021 (though it was kind of his fault), Leclerc 2022. If it wasn't for that, the only time in the last 10 years the polesitter lost would have been 2017 when Vettel was just simply faster during the Ferrari pit window
i would have done it by counting each corner type on a track and do an average from this. So in the end it will be the most average driving experience witch is the main factor.
Austria already does that. I count eight, nine if they pay me. The second one is the one that is the first corner after T1, the one up the hill, not the slightly wonky straight. The next one after that is the one after the second straight. I could look over that straight and say the right hander after that is turn four (tho it isn't). What I don't understand is how they end up on 10. It's either 8 or 14. 10 means they count some wonky straights as corner while others that are just as much slightly not perfectly straight not. Im not upset or anything, but I really like to ask the person who came up with that number how and why. They either are very wise and can teach me their ways or utterly stupid and I can make them count things badly, for my entertainment. (Or they are French and wanted a more metric and decimal GP) I love your channel because it makes me look at the map of spielberg for 20 min, shaking my fist at it in frustration, while reflecting on the meaning of words like "ten" or "corner", "turn" even. You're like the magic mushrooms of F1 videos.
Question on the methodology for two of the categories. For pitlane loss, are you accounting for the different speed limits at various tracks? Which may or not be that relevant really since time lost is time lost. Secondly, elevation change should really be per kilometre, since it's about gradient not the total change.
You should merge all the average tracks together and make the most mid circuit of all time.
But what do we name such an average, uninspiring track?.. the Bo-ring?
@@MrVsGarage I was thinking of a better pun and I couldn't. The Bo-ring is much better than my "Mid-za"
The Average International Circuit, it's long but it surprisingly fits
@@adblox its called an oval
@@MrVsGarage Sounds kinda Swedish.
MEDIUM SPEED CORNERS
MEDIUM SPEED CORNERS
MEDIUM SPEED CORNERS
MEDIUM SPEED CORNERS
MEDIUM SPEED CORNERS
MEDIUM SPEED CORNERS
I love how your videos fill this odd void in me for statistic related f1 videos with little to no bearing on reality
Haha I'm glad. In my experience F1 itself is just as silly.. you can spend millions perfecting a car and simulating everything only for your driver to crash into a wall, which is exactly the kind of chaos that inspires this channel
Russell Singapore 2023😢@@MrVsGarage
Glad you introduced variance (or standard deviation) in the end. Saw that problem coming from quite early on, and then you mentioned Monza being mid after six categories.
I'm all for a silly unreliable result, but if I can do it properly and get an even sillier result then I absolutely will
@@MrVsGaragePerhaps doing a ranking for difference from 12.5 rather than an average would have made more sense. That way tracks with outliers would be punished because you definitely arent average if you max out one ranking and bottom out the other
@@DukeDonkey Did you watch the video? That's literally exactly what he did
thats what the variance Ranking does in the end If you Look at the blue Graph @@DukeDonkey
Where is Paul Ricard in all this? Boring as hell
17:16 man actually predicted everywthing
I love how bro just apears out of nowhere out of the blue 💀
I'm like a chameleon I can turn my skin that colour whenever I want
@@MrVsGarage So would you say you're some kind of lizard person ? Danica was right all along...
@@Hawx32 we live in a simulation
Mr V has been cooking lately
Thank you! More good stuff coming! This was actually a last minute video as I had to push the next 2 back due to sponsors
@@MrVsGaragelove that you’re getting sponsors, is this a newer development?
@@slaterstimson yes, really thankful that a couple have reached out in the last few months. It's a big step towards the dream of making this channel a full time job!
When I’m in a never running out of ideas competition and my opponent is Mr V
is that why you just copy pasted a meme phrase from somewhere else.
@@TheEvilCheesecake yes.
He's like a pub chat god. But he would bring his spreadsheet to show his working
As a former data analyst I would suggest to take the distance from 12# as the metric and not the actual placement from 1# to 24#.
That way you don't count tracks which are extreme in both diterctions as avarage.
For example, if a track ranks #2 in shortest and #22 in most turns per km, I wouldn't call it an average track, and the new metric would give a distance of 10 and 10, a opposed to a track who gets #13 and #8 for example, would get a distance score of 1 and 4, which more accurately represents what I think you meant as "averageness".
Would you rather take the distance in position or the difference to #12's value for that category?
Best way I could think of would be to use the absolute values at both the 1st and 3rd quartile and give them a score of 100. Take the average of those two values and give it a score of 0. Now you have a two-way linear graph you can plot all the points into. This way you can account for very big gaps in absolute numbers on tracks that are only 1 position apart (looking at you monaco...).
You'll end up with an averageness-score where lower number = more mid track.
Yep, take the centroid or medioid and find the nearest track to it in L2 terms
@@uvibalcey distance in position because you cannot easily normalize all metrics to same scale
@@nadavbentovim thank you!
9:07 bro that was quite personal 🥺
14:45 made me really happy because this was my initial thought when you said you would use the average to determine 'averageness'. Another banger of a video!
Based on the information presented in the number of cornsers section, how about a video searching for the "Least Corneriest Corner" or the "Curviest Straight"
That feels like the perfect pointless topic I'd love to watch a man explain his Excel sheet about for 30 minutes :)
You may (or may not) be surprised to learn that I have a long term project about something similar for a video...
@@MrVsGarageI feel like Austria turn 2 or Imola turn 1 would win this.
@@treytonlandplayz3151 Enter: The thingy before the pitlane in Jeddah
least corny corner
Baku and Monaco
Maybe its just video game nostalgia speaking, but I've always loved Cataluña precisely for its average-ness. It's a quintessential, downforce reliant racetrack, that in-game, is easy to understand and fun to drive. I don't mind that the racing isn't flashy, because I have an appreciation for the smoothness it takes to go fast, and for how impressive it is to pull those kinds of g's consistently, lap-in and lap-out.
Exactly what I was going to say. It’s not crazy or too easy.
genuinely the best f1 youtuber out there.
17 minutes felt like 5 its so engaging.
i think this type of content is just much more fun than hearing the same news from a million different sources
For some reason, I feel like the only one who likes Barcelona as a track. That is from a driving point of view. I think sectors 1 and 2 are so fun to drive. And since they got rid of the chicane, sector 3 is also ok. Racing wasn't great of course though, I agree. But this and last year were good races with a lot of overtakes. To me the bad races of the past were more due to the cars, not due to the track.
As a kid I played Gran Turismo and the old F1 games a lot and Catalunya was always my favourite track to drive! But yeah it's just not suited for F1 cars, they're too big and fast for this track
@@MrVsGaragei agree
Imagine just doing all those work just to end up in Spain without the s
We only eat Paella in this house because my whole life is (s)pain
I was preparing for the Excel madness where you would compare all the results of all the years of an f1 track against the final championship standings and see which ones the cars finish in the same order that they will finish in the championship.
"Medium Speed Corners" is this channel's iteration of SouthPawRacer's "2nd gear hairpin" 😅 Props to leaning into the "straight" joke as well!
If you were to ever expand this idea here are some other categories:
Wetness - % of wet sessions at the track
Safety - Average number of safety cars/ virtual safety cars/ red flags that occur at the track each season
Temperature - Average temperature of the track ( not the track surface)
Consistency - how many times the track layout has changed (e.g a corner gets added/ removed between seasons) this should not include things like adding a new gravel trap or redesigning a barrier
History - how long the track has been on the f1 calendar ( no. Of seasons)
Difficulty - average no of drivers that dnf at the track each season, this should include dnfs due to mechanical failures as it shows the track is tough on the cars components ( this is quite similar to safty so you could just pick one or the other, or you could try find a way to combine them)
Pitlane - how long the pit lane is in meters
Run - distance between the start/ finish line and the first corner
Competitiveness - how many overtakes occured the at the last race held there ( on include on track overtakes)
Chonkyness - how wide the track is at its widest point ( or if it's easier how wide it is at the start/finish line
Banking - the tracks steepest banked corner
Cheekyness - no of track limit violations that occured at the tracks last held race
0:44 I sure do love medium speed corners
9:10 hardest I've laughed in a long time Mr. V
reddit
new category: Ocon’s finishing position (per track)
the best way to define a straight in f1 is to assume, whether the given sector of the track can be approached with drs opened. You can't do that in Eau Rouge, but you certainly can do Baku last corners. stay with me now
Or maybe if you can take it flat in the wet
One of the most interesting ones in Saudi Arabia, being the Windiest track, but also having the 2nd highest average speed. Goes to show just how fast the corners are at that track.
Mr. V putting out bangers
I was put on this earth to drink milk and make bangers, and I'm all out of milk...
Makes sense
How much do you love Microsoft Excel?
V: "yes"
The unveiling of the track which was almost perfectly mid AND has the lowest variance was so funny 😂😂 I love your scripting so much, 10/10
Montmeló is a great track: turn 1 to 3, turn 9 and 10, the last 2 turns since the Tilke's shame chicane was removed, the elevation changes. Its really nice stuff
I know this is late, but instead of averaging the rankings in these categories you should have given points for how far you were from the average. For example, the 12th ranking in a category should get 1st place points and the 24th ranking in a category should get 12th place points. You can choose the points system.
But is this also Mr. v's most average video?
If this is 10/10 and all the rest are 10/10 then mathematically: yes
I love that they test in Bahrain now, mainly because it has a similar mix of corners to Catalunya, but doesn't have the problem of being impossible to pass on. You can't really get good races at Catalunya when winter testing is there because you get too much data on a track that's too hard to pass on. At Bahrain we literally see overtakes on every angle through every corner.
Only youtuber to not answer his own question and still be more entertaining than all of sky sports f1 team.
One of the most unique F1 channels out there, please make more videos like these!
more videos coming as quick as I can make them!
7:24 'Hello, I am under the water'
The two things I love the most, aka Excel and F1, coming together - this is awesome!
Love your category choices. Very thorough, indeed.
bro when spain appeared on the screen at 15:35 i heard a thunder right outside my house
Just gonna say your content is my absolute cup of tea.
Keep em coming Mr. V!
04:48 153 km/h at Monaco is just insane. I knew more or less what the average at Monza was, and that's crazy already, but everything can go fast if you put a big engine in it, Monaco though... honestly didn't expect it to be that quick.
You should've tested the correlation of the average result for each driver in each circuit excluding the circuit being tested with the results on that circuit, and see which circuit was the most representative of results in all tracks.
actually i'm in a research class right now so you talking stats is very enjoyable
On the ticket prices and travel point. It was (substantially) cheaper for me to go to Hungary and stay in a nice hotel with a great spot to watch than it was to go to Silverstone and camp and sit on a grassy verge to have a slight glimpes of cars and absolutely no chance of seeing an overtakes.
12:58
The 1964 Dutch Grand Prix had been won by Jim Clark, from p2 on the grid.
Granted, you are probably only looking at the current track layout but still.
Typically, to find a prototypical datum in a set, you would calculate the centroid (average, dimension-wise) or medioid (median, dimension-wise) and then calculate the L2 distance (Euclidean distance) of each point to it. Basically, find the center (in some sense) of the data in a high-dimension space. Comparing ranks is *a thing*, but it doesn't fit in this case.
The most interesting F1 content on RUclips
Jerez was a brilliant pre season testing track.
It's a shame you're not a nascar fan, i'd love to see all this besides the turns for it xD this was so fun!
It might be interesting to compare each grand prix result to season results. Therefore if we count season results as average performance, we can determine track with most average results
Great video just one minor thing: if one the benefits of finding the most average track is to see if your car would perform well on it, what does attendance and ticket price have anything to do with that?
you need to start publishing your data, I'd love to see full rankings
I'm glad I didn't comment halfway through the video. I was judging you all the way through for your methodology, until you pulled out the uno reverse and did what I wanted you to do!
Only comment now is that I would have considered something like corner type rather than windiness (or looked for the variance in corner apex speeds assuming the data is available).
mr V posted this on the 28th of June i.e. the very beginning of the Austria race weekend. At the end of the video he questioned and predicted whether Merc and Ferrari could start challenging for wins too; since that day, every grand prix that has occurred (Austria and Britain) has been won by a Merc! funny how that worked out
I love your videos. You’re the only one that does these maths analyzations like you do. I’ve been subscribed from the beginning. Think you had maybe 500 at that point. Keep it up. You’re doing something different, which is important.
To be fair, one of those Monaco 2nd place wins is Verstappen starting from the front (but technically still grid position #2) in 2021.
Which brings down the average to 1.67.
Would’ve thought temperature would be a factor, but suppose that’s not always relevant as Singapore’s humidity is what makes it killer
YESSSSSSS THE MADNESS IS BACK LETS GOOOOOO, Always love a "we're gonna do all of them, baby" your efforts and dedication inspire me to try harder, Keep it up big guy !
Edit: I love the water splash transition, its toooo good
Mate, your channel is exactly what F1 fans interested in maths need since you apply it to…well, everything
And I bloody love it!
This is fire. Data/statistical literacy is really wuite hard to find so this channel has been a breath of fresh air. Always looking forward to the vids!
Gonna be the proud owner of a Car Go Vroom Vroom cap soon woop woop! Really like that your merch is very neutral looking, it all looks brilliant!
I believe you should add one more category: temperature. I know it changes minute by minute but, you could find the average temp of the last ten years for example. Its an important factor because of tire degradation , engine overheating and driver exhaustion.
I did play around with Catalunya in RTB, taking into consideration how much land they have, the elevation changes, grandstands, access to grandstands, escape roads, marshalling posts etc etc. The change they made are pretty much the only kind that you can do on short notice and without drastically changing the whole layout of the track. I did check the changes Mr V did and i disagree with most of them (the 1st corner idea is good, the rest... difficult to do , and they pretty much destroy the classic track without offering any aid to the actual problems...), the actual changes are still better when we take ALL the stuff that tracks need to consider when making changes. It is easy to just draw lines on google maps, you need to look at everything else but the track to understand why.. the changes made were really the only changes they could've made. A huge problem is the last two corners, the wall on the outside is so close to the lot edge that there simply is no way to move then any further. And the last corner IS UNSAFE!.. but only a little bit, probabilities are quite low for a major catastrophic accident but the danger is there. Accidents in that corner are going to lead to red flags but so far, we haven't really had any, as it is quite easy corner. But... it is just a tiny bit too fast. It is not the only corner in the calendar that is borderline, Eau Rouge has too much compression and Radillion has unfavorable trajectory that should push walls much further out, but there is a sheer 40m drop on he other side... and it is classic.
But, if we were allowed to do anything... Catalunya could have 30m hill!... It could have massive elevation change leading to a downhill braking and form a real backstraight that is close to main straight in length. You would go from 7th and cut thru everything between it and T12. Then do snake esses after it and we back to the old track at the last corner which would be taken at around 200kmh. It would also shorten the pitstop time quite a bit, giving it more tactical opportunities. I made a mockup and tried it in a sim, and it is a hoot but of course, cost about 100 million and couple of years.
I would love to see a video on average grid positions for champions in different categories, like f2 its probably 4th as the best starting position to take advantage in both races
So the most average F1 track was the friends we made along the way I guess ?
Please stop trying to drive a race car over my friends
@@MrVsGarage No 😎
Nice video. btw, instead of elevation you could also use average / median atmospheric pressure. It removes the different measurements while still giving a clear indication of the air density.
For the windiness stat to be more accurate (at imola for examlpe) you could change it to total direction change over a lap (in degrees - absolute, otherwise it would always be 360°). or total direction change per kilometer.
Thanks for another great video! I enjoyed it alot.
haha, was thinking the same thing hen he mentioned windiness.
i feel like the best way do do this wouldve been to map each score for each track as a coordinate in 15-dimensional space, and then calculate each track as a point and score them based on 1-dimensional distance from the point with each of the 15 coordinates equalling 12.5 🤔
Love the video. This is the first video I have watched of yourself so hello!
Thinking about the elevation stats it might be more indicative of performance to look at air density (air pressure and temperature ) rather than elevation as it is the reduction in air density that affects the power rather than elevation itself. But might be harder to find the stats as it's depended on weather on race weekend.
Also might be thinking about temperature/track temperature for another stat. That would sit nicely into the model you have already implemented!
Temp, track temp and likelihood of rain should all figure into the stat.
Watching Oct 8th 2024. That “title battle please” aged pretty well.
Turn 2 in Austria IS a generous corner. They just didn't take the same liberties between 3 and 4.
Bendieness, my fav F1 terminology
Some of the weather aspects:
- average temperature (preferably broken down in both track temperature and air temperature)
- precipitation
- wind speed
Probably Barcelona would still be the most mid though after taking those into account
Absolutely love this, great videos and a pleasant personality as well
13:50 I would like to say that in 2021 the pole sitter didn’t even start the race and Verstappen started from the p1 grid slot.
Not that it changes anything
you are a maniac who's obsessed with data and statistics and i love that
Watching this video 4 months on and with only 4 races left and that is kind of what we have got.
We will need an update for Las Vegas winning grid position after more races. It will be fun however if the average didn't chance much or at all.
Loved this! Race day temperature would have been useful.
You deserve soooooo many more subscribers
1:00 No one cheers when Australia is the season opener. Bad ass track.
I can’t stop thinking about how the 1999 Mercedes CLR does backflips at high speeds tbh
No way I just went to the second most expensive f1 race on the calendar when I could’ve just gone to the third most expensive one a year earlier 😭
Great work man!! Really interesting!
Great video! I'm a big fan of your videos and this is another great one. Thanks for making it!
From your other videos I'm guessing you already know all this, but as a mathematician it'd be remiss of me not to point out that variance is the *only* measure you should be using here, not the average position. To find the most average track you want to find the one with the fewest extremes, because being extreme in different directions is almost the opposite of being average. This is especially compounded by some of the "which is 1 and which is 24" being subjective calls that have no bearing to each other - for example, "elevation" could easily be "proximity to sea level" and have the exact opposite order, and that wouldn't have any impact on whether a track has a shorter distance from the line to first corner, etc.
It's also obviously worth pointing out that sample size is always going to be an issue here, because which track is the most average will change depending on the style of cars in play. Obviously a V8 to a V6 or whether or not a car is ground effect-driven isn't going to change the elevation of a track, but in terms of taking the fastest lap around each track, how easy it is to overtake and the like, some old data is just not relevant - but on the flipside, if you don't include the old data, there's not really enough data to make some of the points you're trying to make. I appreciate there's no good solution to that though, unless we want to convince the FIA to run each track 100 times with the same ruleset and weather conditions* in order to give us some reliable data. And given they didn't accept your perfectly cromulent suggestions for how to change Circuit de Barcelona Catalunya, they might be frustratingly inflexible on that point.
*On the subject of weather, I'd have loved to see this included in the data - probability for wet races! Arguably a terrible metric since it'll depend on when in the calendar the race takes part (I say with the experience of someone who was at the British Grand Prix in the year 2000 when for some inexplicable reason it took place in April and, in an incredible plot twist, it rained). But still, if we're trying to find an average track, there's a clear distinction between a wet race and a dry one. Also on a related note, average number of safety cars could have been something to consider. Just some ideas in case you ever do a sequel to this video. Thanks again!
You wouldn’t believe how happy I was when you decided to take variance into account
You could give 12 points to p12 and p13, 11 to p11 and p14, 10 to p10 and p15... Until 1 point to p1 and p24
The “bosh” at 9:17 😭
Barcelona WAS pretty easily the most average prelayout engoodening.
Much slower hairpin and the chicane really helped balance it out to that performance averaging aspect IMO. Also it's high deg but not bahrain, qatar, or hungary level
I laughed out loud when you revealed it was Spain 🤣 Great video!
WHAT ARE THE OTHERS WITH LOW VARIANCE CLOSE TO MID? We gotta know which tracks can be the new average
You should have made the first and last in each category have the same score (and the same with second and second to last and so on) so that a track that had a first and a last wouldn't have a higher score than a track that got 12th twice.
The reason Baku doesn't have the highest top speed is purely down to the setup of the cars. Because of sector 2, they can't use Monza-level front and rear wing planes. It's no question that they could be much faster than Monza by the time they reach turn 10, but they'd lose so much time in sector 2 that it's not worth it.
Also adding that the main reason pole wins in Monaco less than half the last 10 years is because something happens to the polesitter that's out of their control. Lewis 2015, Danny 2016, Leclerc 2021 (though it was kind of his fault), Leclerc 2022. If it wasn't for that, the only time in the last 10 years the polesitter lost would have been 2017 when Vettel was just simply faster during the Ferrari pit window
i would have done it by counting each corner type on a track and do an average from this. So in the end it will be the most average driving experience witch is the main factor.
Was expecting number of overtakes per race hehe
Austria already does that. I count eight, nine if they pay me. The second one is the one that is the first corner after T1, the one up the hill, not the slightly wonky straight. The next one after that is the one after the second straight. I could look over that straight and say the right hander after that is turn four (tho it isn't).
What I don't understand is how they end up on 10. It's either 8 or 14. 10 means they count some wonky straights as corner while others that are just as much slightly not perfectly straight not.
Im not upset or anything, but I really like to ask the person who came up with that number how and why. They either are very wise and can teach me their ways or utterly stupid and I can make them count things badly, for my entertainment. (Or they are French and wanted a more metric and decimal GP)
I love your channel because it makes me look at the map of spielberg for 20 min, shaking my fist at it in frustration, while reflecting on the meaning of words like "ten" or "corner", "turn" even. You're like the magic mushrooms of F1 videos.
13:42 to be fair, thats only because of the leclerc curse in monaco
5:14
Well the turn 2 in Red Bull ring is... also generous to call it a corner I think
5:32 Amazing… 😂
Question on the methodology for two of the categories. For pitlane loss, are you accounting for the different speed limits at various tracks? Which may or not be that relevant really since time lost is time lost. Secondly, elevation change should really be per kilometre, since it's about gradient not the total change.
I'd love to see this experiment but instead of using a rank for each variable and each track, you'd use a z-score of the value of each variable.
Been wondering about this so great to see that you've made this video. Interesting