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How to Build a Sports Betting Model for NBA Against the Spread and Totals (SUPER EASY) — Transcript

by Guy Boston Sports · 5,425 words · 704 segments · language en · Watch on YouTube

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0:00all right YouTube how you doing welcome
0:02back to the channel before we even jump
0:04into this video I don't do this often
0:06but even before we jump into I'm ask you
0:08guys to hit that subscribe button and
0:10like the video a lot went into this
0:12video and we're really peeling back the
0:14curtain opening up and hoping to provide
0:17some help and support to you guys as you
0:20go through your sports betting in this
0:22NBA season or for years to come if you
0:25pay attention to this you're going to
0:26learn a lot from it the goal of this
0:28video is for me to show you guys where
0:30to start when putting together a model
0:33so I'm going to kind of walk you through
0:34a base model um something that I've done
0:37and the goal is for you guys to really
0:38be able to take what's shown in this
0:40video add to it Tinker with it and
0:42become successful Sports betters
0:45obviously a lot of this goes into sports
0:47betting a lot of people like to rely on
0:49this some people like to rely on their
0:51big old gut but when it comes down to it
0:53the analytics are going to be the most
0:55important part of your sports predicting
0:58processing Sports gambling process I
1:00think we can all agree on that it's one
1:02of the only gambling type things that
1:04you can actually find an edge on
1:06spinning a roulette wheel no Edge you're
1:08playing Blackjack it's really up to what
1:09card comes out next sports betting
1:12you're you're going to be able to find
1:13some edges you're going to be able to
1:14find some discrepancies and some things
1:16that you can take um action on and
1:18really capitalize on an opportunity as
1:21you guys know the lines in sport setting
1:23can be changed by a lot of people
1:25betting on one team or a lot of money
1:27going in on one team and sports books
1:29react AC in but what we're going to do
1:31is take all the noise out of it and
1:32really get down to the Brass tax about
1:34what this game spread should be or total
1:37should be again this video we're
1:38focusing on totals because it is
1:40probably the most simple to explain but
1:42if you guys want me to dive into you
1:44know we have spread models we have
1:45player prop models that we work really
1:47hard on if you guys want to see
1:48something like that let me know in the
1:49comments down below but again ideally
1:52what we're doing here is kind of giving
1:53you the starting point we're going to
1:55walk through it completely and then you
1:57guys can Tinker with it and make it what
2:00you want and find success in it so right
2:02now what we have is something that looks
2:04like this we're going to build something
2:05together that looks a little bit better
2:07maybe easier but I've built this a long
2:09time ago it's hard to change the format
2:11now but uh you can see as we go through
2:13we have each and every game on the NBA
2:15slate tonight and we have a projected
2:17score and projected total for these
2:19games now it's not as simple as that
2:21once we look at here we'll unhide these
2:23rows we have so many stats dumped into
2:27this model and we're not going to go
2:28through each and every one of these now
2:30but we're going to go through a decent
2:31amount of them so you guys can learn and
2:33um ideally do this yourself I can't
2:35stress that enough so if we jump into
2:38this too this is how I kind of have it
2:39spit out to me on the day-to-day basis
2:41we have pretty much you know if it's not
2:43a big enough difference or big enough
2:44margin we we have it formatted to tell
2:47us to push um and then we also have
2:49where our plays would be tonight so all
2:51I would have to do in the morning is
2:52update these lines and ideally we're
2:54seeing you know it's given us five plays
2:56that we can spit out we've tracked it so
2:58far this NBA season we we're tracking
3:00just about every single day um you
3:02notice we started on the 25th that's
3:04because we want enough data to go into
3:06this so you can't really trust always
3:07last year's data roster changes injuries
3:10all that stuff so we waited about a week
3:11before implementing this but you can see
3:13as of right now 19 and 10 on the season
3:16this is the daily average for what
3:18percent we are so it's not the
3:19aggregated amount it's just on a daily
3:21average we're looking at just about a 60
3:235% win rate and then that kind of rings
3:26true when you look at our total um on
3:28the season here we're not and five in
3:30spreads and 10 and five on totals now
3:33this is just the models data right we
3:36don't play every single thing on the
3:37model cuz like I said it does come down
3:39to you know feeling like you have a gut
3:41feeling on the game you know this is
3:43just a piece of it it's a good place to
3:44start but um I just wanted you guys to
3:46see that there actually is winning
3:48involved here if I took my brain out of
3:50it took my heart out of it and just
3:52followed the model it would be
3:53profitable it doesn't always work like
3:55that obviously you're going to want to
3:57um you know make plays based on other
3:59things you know and stuff like that or
4:00feelings you have but I do want to just
4:02get out there and say that but um yeah
4:04so we pretty much want to end with
4:06something that maybe looks like this
4:07we'll focus on one that you can just
4:09make one game and you can edit these two
4:12team names and get the spread we'll
4:14worry about this part where it spits it
4:15all back out of you and everything like
4:17that in another video cuz there's going
4:18to be a lot of formulas and a lot of
4:20things that you guys will need to know
4:21and probably rewatch any parts of this
4:23video If you're not an Excel Wiz we're
4:25doing this in Google Sheets but if
4:26you're not an Excel Wiz or stuff like
4:27that some of this can be confusing but
4:29but honestly guys if you sink your teeth
4:31into it and set your mind to it too it
4:33can be really really fun to get a good
4:35result so just to get you just so you
4:37know what to expected here we got a
4:38couple tabs here that are Auto imported
4:40all of these numbers are coming in I'm
4:43going to tell you what most of them are
4:44doing and everything like that but all
4:47of these are coming in and this is
4:48definitely a lot guys this is just for
4:51um some of the spread and total when we
4:53look at player props we have even more
4:55here even more numbers so I'll show you
4:56how to set up Imports like that and how
4:58to make it pretty simple for you guys
5:00that you don't have to touch it on a
5:01day-to-day basis it's really you know
5:02moving that big boulder to start the to
5:05start the damn thing but then all of a
5:06sudden you guys will be able to do this
5:08yourself so let's start this like I said
5:11right we want to kind of be able to plug
5:12in okay there's two games tonight what
5:16are the um what are the lines or What's
5:19the total and what should be the total
5:22cuz that is truly the goal we're trying
5:23to figure out what this total of the
5:26game how many points are going to be
5:27scored in this game based on the numbers
5:30not based on what the bookmakers think
5:32not based on you know what your bookie
5:34and his site or her site uh and what
5:36Vegas thinks right what based on the
5:39true numbers when you Boggle it down
5:41what should the total of this game uh
5:44what should it be so we're going to get
5:46into it so this will be sort of the
5:48column that we look at here this will be
5:49the stats column okay um and I'm just
5:51making this simple you guys can
5:53obviously format this however you want
5:56um but uh here we'll do we'll do away
5:58team and and home team okay and then I
6:01like to keep this column here because we
6:03might be combining or taking some
6:04averages or something like that so just
6:06keep that in mind but uh first off let's
6:09start with what's probably the most
6:11simple way to get us an idea of how many
6:14points are going to be scored right
6:15points per game now I don't just do
6:17points per game we're going to be
6:19looking at points per game this year
6:22points per game home or away I guess I
6:25should say home away
6:31[Music]
6:33and then we're also going to be looking
6:34at points per game last three now a
6:37great site and I can put these links in
6:39the description a great site to get
6:41these from is going to be
6:43teamrankings.com now again we're not
6:45cutting this video we're not editing it
6:46it might be a little messy but on
6:48teamrankings.com this updates every
6:50single day you can get new um updates
6:52and everything like that so we're going
6:53to go to Stats we're going to team stats
6:54here on the
6:58right and we're going to look at scoring
7:00that's where we're going to get points
7:01per game right but it's not as simple as
7:03that just yet remember when I showed you
7:06guys this and how much data goes into
7:08that we got to set this up first so this
7:10is our main screen this is where we're
7:12going to get the projected total spit
7:13out at us correct so let's make another
7:15tab down here I know you guys can't see
7:17this so I'll move my camera for now
7:19let's make another tab down here and
7:22we're going to call this one data I know
7:25that may be off the screen but right
7:27here guys we're making another tab
7:28called data and we we have our Excel
7:30here the formula it's a very simple
7:32formula to use but what we want right
7:34now is right um NBA team points per game
7:37I like to give headers so if we need to
7:39refer back to it later we can but the
7:42formula is really really simple it truly
7:44is simple here and all we're going to do
7:46is go in here and do uh equals import
7:49and then we're going to scroll here
7:51import
7:52HTML we're going to go over to this team
7:54stats we're going to go to points per
7:56game and this is what's amazing about
7:58this guys all you have to do is copy and
8:00paste the URL let me see if I can make
8:02sure that this is fitting on the screen
8:06here so you guys could see
8:15it oh boy I I told you this would be a
8:19little messy didn't I there we go you
8:21guys can now see pretty much everything
8:23that is running here so we're going to
8:24take this URL copy it okay head over to
8:28our import
8:30quote paste
8:32quote comma and now this is where you
8:35can pick either list or table you're
8:36always going to want table when doing
8:38something like this so you're going to
8:39do quote
8:40table end quote comma zero you might
8:44have to do one you might have to do two
8:46the reason we can do zero is because on
8:48this site that number at the end of our
8:51formula is saying what table on this
8:53page do you want us to reference there's
8:56only one table on this page so one or
8:58zero would do the trick but once we
9:00press enter you'll see what we got here
9:02boom that is the table that we're
9:04looking at only in Excel form or Google
9:08Sheets form okay so we're going to head
9:10back to this tab
9:12now and again when I when I set it up so
9:15I use abbreviation so we have a whole
9:17another sheet where we really try to
9:19link up team name and abbreviation so if
9:21you look at this cuz we're going to be
9:22pointing to this at some point on my
9:25formula or my um my true model Memphis
9:28equals me so I have a bunch of formulas
9:30to make sure anytime Memphis is set it
9:32also means mm I don't want to bore you
9:35guys with that I think that that's
9:36something that you know would be fun for
9:37you guys if you want to really dig deep
9:39and try and figure that out yourself but
9:41for now we're going to make this as
9:42simple as possible um for us to be able
9:44to Plug and Play Each game that we are
9:47interested in so let's uh let's take a
9:49game that's actually going on tonight if
9:52we go to vssi and matchups here go to
9:54NBA uh lines and scores this is another
9:57great tool that I actually have within
9:58our field so you know guys always keep
10:01that in mind um and and make sure you do
10:03check that out but uh here we go this is
10:06what's a good game to use maybe the the
10:07Pacers this might be a good one here cuz
10:09it's um eight and a half let's see good
10:12game here I like this actually Toronto
10:14and Atlanta so the away team is
10:17Atlanta so we're going to plug this
10:21in and Toronto because why we're using
10:24those names is because in this we know
10:27that this is the uh um this is the
10:30abbreviation that they use so if we
10:31wanted to do OKC we' do Oak City and
10:34that type of thing but we have Toronto
10:36and we have where is Atlanta here
10:39Atlanta just making sure they're both on
10:41the board which they are so we have
10:43these two teams right so points per game
10:46uh excuse me this should actually be up
10:48here how about
10:51that because those are not their points
10:53per game this year but um okay so now
10:55we're going to do some vlookups if
10:57you're not familiar with v lookups all
10:58that is is going to be saying this cell
11:00is going to equal um whatever is on this
11:04tab based on looking at what is entered
11:07into this cell so we're going to do uh
11:09vlookup and again I'm not going to dig
11:11into what a vlookup is or what these
11:14Imports are I hope the formulas are good
11:16enough for you guys if you want to just
11:17watch it back and and follow that's
11:19probably the best way to do it if you
11:20want to know exactly what a v lookup is
11:22best way to explain it maybe watch a
11:24different Excel video but we're going to
11:25do vlookup and up here we're going to
11:27make sure we are targeting B 2 comma so
11:31we're targeting B2 what table are we
11:33going to be looking at we're going to be
11:35looking at this table and it's going to
11:36be this colum we're going to start with
11:38team and then we're going to get
11:402022 stats so we're going to go all the
11:43way down here and highlight everything
11:45for this you can go even deeper it's not
11:47going to mess it up just to make sure if
11:48they decided to expand and add multiple
11:50NBA teams that they would be captured
11:53there but not that they're ever really
11:54going to so um perfect now we have this
11:57and you're going to do comma 2 which
11:59because you're looking at the second
12:01column in the table you just created
12:03this is the table you are creating it's
12:05a subset of the table we have comma 2
12:07comma zero because you don't want it to
12:09return anything if it doesn't have an
12:11exact match okay now look at this points
12:13per game for Atlanta
12:16117.0 points this season okay and if we
12:19look if we want to fact check Atlanta
12:21has scored boom right here 117.0 points
12:24per game this season now it' be pretty
12:27simple now you're like okay well that's
12:28how many points at land is score right
12:30not quite Atlanta is also the away team
12:31tonight so what we're going to do is
12:32similar we're going to do the V lookup
12:35based on that Atlanta box we're going to
12:37go to data we're going to do the same
12:38thing only this time we're scrolling all
12:40the way over to and you're going to want
12:41to count this so 2 3 4 five six
12:44highlight them all comma six because it
12:47was the sixth column that we're looking
12:48at here zero because we don't want any
12:51um results if it does not find a match
12:54and actually points per game here
12:55Atlanta has scored 123 points on the
12:59road this season you guys see where I'm
13:01getting here we're going to continue to
13:02do it if you do want to fast forward a
13:04little bit that is totally fine I told
13:05you this is probably going to be a
13:06longer video um and uncut but I do want
13:09to let you guys know that if you get
13:10this that's pretty much what we're going
13:12to be doing a lot of but uh I urge you
13:14to stick with me in case I think of
13:15anything um to that that kind of jumps
13:17out here but points per game last three
13:19we're going to do another V look up here
13:22to Atlanta once again and obviously if
13:24you know Excel and you know how you can
13:25kind of copy this V lookup to multiple
13:27things and just change the column by
13:29means do it I'm trying to keep it simple
13:30for people that may not know so we're
13:32looking at the points per game the last
13:34three here which is right here so we're
13:36going to take that that's the third
13:37column boom all right so there we go
13:40points per game last three now what I'll
13:42do here because um it's going to be
13:46called a weighted average but I like to
13:48call this column the average SL um combo
13:51and this one will be the weight right so
13:53what we're going to do here and we're
13:54going to get these numbers for Toronto
13:56shortly as well in fact we can just take
13:58this formula as long as we make sure
14:01there are dollar signs in front of the
14:02letters and numbers here so that the
14:04vlookup does not change we can take this
14:07and just move it over here and now we'll
14:09have those numbers for Toronto if you if
14:11that does if that's too fast for you I
14:13can't help you there but you can go one
14:14by one like I just did um for the other
14:16ones for Toronto too if you want to keep
14:18it slow but um so what we'll do here is
14:21take these averages so just if we wanted
14:23to uh to to take how many points per
14:26game um you know each of these teams
14:29score together we could do something
14:30like this I'm going to get a little bit
14:31more advanced cuz I think it's better
14:32but you know average as a formula you
14:34could do this and based on that you
14:36know1 points if we were to average these
14:39two together that isn't exactly how I
14:41want to do this so we're going to get
14:42into another metric here which is going
14:45to be this exact same format only we're
14:47going to be looking at opponents points
14:49per game right which makes a lot of
14:51sense now that we think about it okay so
14:53we looked at the points per game they're
14:54going to score but how many points do
14:57they let up on a night toight average
15:00both home and away this year and the
15:03last three you can reference back to um
15:06this team ranking site which again I'll
15:07put this in the description this is an
15:08amazing amazing site to use but you go
15:11to team stats you can go to scoring
15:12defense opponents points per game now
15:15what do we have to do here we have this
15:17table but we need a new table so we're
15:20going to head over here and do opponent
15:22team points per game I like to just copy
15:26this this uh this um formula here and
15:30edit the URL so make sure you guys do
15:32edit it because you don't want to copy
15:33it over and think that this is the
15:34opponent's points per game it's not we
15:36want to get the new URL for it we're
15:38going to plug this in to where the URL
15:40sits here we plug this in it's going to
15:42take a second to load and boom now we're
15:44looking at opponent's points per game
15:46okay so we're going to head back to here
15:48and we're going to be looking at Atlanta
15:50again so we're going to do another
15:50vlookup and this is all a lot of V look
15:53up in guys um but it is really worth it
15:55if you do learn it so vook up to Atlanta
15:57we're going to head over here one two
16:00that's how many columns we're looking at
16:01scroll down a little bit in case there's
16:02expansions uh two and zero boom that's
16:05how many points per game Atlanta has
16:07been letting up if you want to fact
16:08check it let's find Atlanta
16:24[Music]
16:29could dump this down here obviously
16:30you're getting the same number but what
16:31we're going to do is edit what table
16:33it's looking at cuz it's going to be the
16:35same number of columns they're still the
16:37away team so we're highlighting
16:41um getting this entire column making
16:44sure we're at the away and then boom cuz
16:46it's going to be the six so if that
16:47helps might be a little bit easier um
16:50then you can copy that down and actually
16:52just look at up here you see that it's
16:54the third column we're looking at for
16:55last three so we can
16:57do uh whoopsies we could do
17:00three um all right and now this looks a
17:04little funky right kind of like oh
17:05what's going on here why is it why is it
17:07the same number now we can go and and uh
17:09make sure that their last three and home
17:12games are the same I'm assuming it's
17:13because they've played three home games
17:15in their last three potentially but
17:17let's take a peek so Atlanta 116 and
17:20then away is also 116 sorry I said home
17:23earlier but meant away so that is still
17:26working it is correct there um and guys
17:29you want to make sure that whatever data
17:30table you're looking at which is the
17:31purple on your screen it does have the
17:33dollar signs a quick way to do that is
17:34by pressing F4 when clicked in to the
17:37formula that's just going to make it so
17:38you can move this uh formula around and
17:40the V lookup isn't going to totally
17:41change so uh let's do what we did before
17:44dump this in and uh it's referencing
17:46Toronto now so now this is where it gets
17:49kind of cool right so what we're going
17:51to do is pretty much take um and I guess
17:54we'll make
17:56this um pretty pretty pretty
17:59straightforward um the weight I maybe
18:01I'll wait to show you guys in a
18:02different video cuz that's pretty much
18:04just saying oh we want to prioritize
18:06their last three over their home whatnot
18:08as we dig into this maybe that'll work
18:10but this could be the easiest way for me
18:12to do this um and you know without
18:14showing you guys everything and boring
18:15you guys because you want to factor in
18:17Pace you want to factor in um turnovers
18:21offensive rebounds there's so many stats
18:23that can go into this this is just kind
18:25of the basics um so what I'm about to
18:28build to get this number I totally
18:30wouldn't recommend I would love and
18:32encourage you guys to kind of take this
18:33upon yourself and use this team ranking
18:36site and dump in stuff like that um to
18:38make sure that you feel like you should
18:41be getting um you know the the right
18:43numbers and always always test yourself
18:46and record yourself um and keep your
18:48record I should say uh like I said so
18:50let's look into this we're going to do
18:53Atlanta projected score right so what
18:56we're going to do here
18:59is take what they've done and what
19:02Toronto has let up and just to a simple
19:05average again this is super super simple
19:07but you're going to highlight
19:09these and and these and you're going to
19:12get a number here so projected score for
19:15Atlanta is 112 we can we can highlight
19:18this just so we keep it there
19:21112.8 okay that's based on Toronto's
19:23defense and Atlanta's success here home
19:26away all that stuff then we're going to
19:29look at
19:32Toronto's projected score you see how
19:35simple this is right so we're going to
19:37take another
19:38average we're going to take what
19:40Toronto's been doing and what Atlanta's
19:43been letting up and boom we got
19:46ourselves a projected score on the game
19:50here oh boy we went to a percent by
19:52accident so we got ourselves a projected
19:55score on the game
19:58now I guess the simplest way to do this
20:02would be uh projected
20:04spread and again please dump way more
20:07into this but you're going to do um
20:11because oh because you're looking at
20:13negative would be good for the home team
20:14you're going to do the away team minus
20:16the home team here and your projected
20:18spread would be it should be Toronto
20:21plus 3.4 okay and then a projected
20:27total is going to be
20:29a sum of those
20:34two so now you got 3.4 per for a
20:37projected total and
20:4022.2 for a projected spread if you want
20:42to do an actual spread here like what
20:45Vegas
20:46has and then an actual total for what
20:49Vegas has we can look here we're looking
20:51at this game right now it's a minus 2
20:53and A2 point spread for Toronto so minus
20:572.5 and the total is what are we looking
21:00at here total is 2222 so even right
21:04there we were pretty spot on with this
21:07simple simple formula but um one one
21:09easy whoopsies we're going crazy here
21:11one easy way of doing this and having it
21:13spit out with you would be the I like to
21:17do this just so it's easy for me you
21:18guys can don't have to but the spread
21:20play the the total
21:25play um and what that would be would be
21:28an if statement and if actually I can
21:29probably just do it out for you guys so
21:31it's pretty easy so what we're going to
21:33have is um spread
21:37difference total difference right and
21:41what that's going to be is our spread
21:43minus what the uh actual Vegas spread is
21:48and then the total is going to be our
21:51total minus what the Vegas total is So
21:54the difference here is a
21:565.9 Point margin in this game if we were
21:59using this this says that Toronto should
22:02be 3 and 1/2 Point underdogs but they
22:05are 2 and a half Point favorites so the
22:07value you identify if you're using this
22:10model and again don't recommend using
22:11something this simple but technically we
22:13should be going with Atlanta just based
22:16on the numbers here because technically
22:18they should be three and a half Point
22:20favorites but Toronto is 2.5 here two
22:24and a half Point favored so what's going
22:25on there for the total I would identify
22:27this as some something that we probably
22:29wouldn't roll with just because minus. 3
22:33is not enough I guess if you really
22:35wanted to factually say trust this model
22:38type of thing you would take the under
22:39because it's supposed to round down to
22:4122 and a half or 22 Which is less than
22:4422 and a half so the plays coming out of
22:47this would be Atlanta plus 2.5 and maybe
22:51the under okay and then you guys you
22:53know what the great thing about this is
22:55I didn't mention but if you wanted to go
22:57and look at other games
22:59like this Detroit vers Milwaukee one
23:01right it's going to be tough for me to
23:02spell Milwaukee but you can just update
23:05these names and you're going to get a
23:07whole set of uh you're going to get a I
23:10thought it was going to be tough for me
23:11to spell um Milwaukee not Detroit you
23:14spell Detroit right you put it in there
23:15you make this watch now I'm going to
23:17spell Milwaukee correctly and you get
23:18their numbers too so this one right now
23:21the actual spread is um the actual
23:24spread is U Milwaukee minus 13 right
23:29and the total is what do we have here
23:31the total is
23:3324 and a half okay 24 and a half 224 and
23:40A2 so what do we have here the spread
23:43difference is 3.9 so technically you
23:46should be going with Detroit cuz
23:47Milwaukee's projected by our model that
23:49isn't completely right is only supposed
23:52to win by 9 points the total actually is
23:5422.8 you're looking at a pretty decent
23:56difference so this would be you know
23:58maybe Milwaukee it's only three points
24:00which is one I showed you on my formula
24:01earlier we do have formulas in in uh
24:04play that really kind of weed out the
24:06close ones but this one might be one
24:08that you look at in under so guys that
24:10is pretty much it I know that that was
24:13overs simplified and I want you guys to
24:15know that I understand it's
24:16oversimplified but I think knowing that
24:19you can have this plug-and-play typee
24:20model you can add so many things in
24:22there so many things you can add pace
24:25and figure out you know what's the pace
24:27what's the average pace of NBA um if
24:29this game's average pace based on you
24:31know like the example used Atlanta's
24:34average pace and um Toronto's average
24:36pace what is the percent difference to
24:39an average MBA Pace you can kind of
24:41throw that percent into the total so if
24:43it's a really up paced game obviously
24:45you can throw in um that number that we
24:47got you can do times you know 0.15% or
24:50something like that and give it a couple
24:52extra points there's a lot of fun things
24:53that you can throw into a model um like
24:56I showed you guys when we expanded that
24:58model we had about 150 lines of stuff um
25:03and it's crazy how much data you can
25:04throw into these things so guys I want
25:06you to be able to take this and kind of
25:08work with it yourself um and yeah that's
25:11all I have for you guys let me know if
25:12you have any questions in the comments
25:14it's a super super simple model um but
25:17it's not as simple as you might think to
25:19build like you guys might be confused if
25:21you're not awesome um and yeah you know
25:24what if you guys want more of this let
25:26me know in the comments but we do this
25:27we just buil one for NBA player props
25:29that's firing at a 54% correctness so
25:31you know that's profitable but
25:33profitable we're trying to up the you
25:35know ante on that one and get it to be a
25:36little bit better um and then you know
25:38we also have one for the NFL we have one
25:40for uh you know mainly mainly player
25:42props there as well but guys let me know
25:44in the comments if you do appreciate
25:45this um and we'll catch you guys in the
25:47next one all right peace out
25:50[Music]

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