tlance
Kyrie Hater
This isn’t differential calculus. It’s simple percentage math. Let’s not pretend that you guys are out here building bridges.
It is really simple math.
Which is why I am hoping someone outside this conversation can weigh in.
This isn’t differential calculus. It’s simple percentage math. Let’s not pretend that you guys are out here building bridges.
Personally, I thought in game 2 that Time Lord looked better in his minutes vs the zone than Horford did.
This isn’t differential calculus. It’s simple percentage math. Let’s not pretend that you guys are out here building bridges.
I felt like Time Lord’s presence gave them the ability to attack the middle of the zone and when the Heat reacted to the foul line pressure it gave him good looks around the rim. Horford can space in theory but he’s not shooting well right now.Theoretically the ability to stretch the floor vertically could be challenging if bam has to help on the penetration
Especially considering the lack of size and athleticism at pf for Miami…
You are taking about a totally different number. Let’s start from scratch. You concede that down 0-2 the number is about 8 percent. Do you think the number when losing the first 2 at home is somehow higher than that?Answer is:
# of teams to successfully come back from 0-2 with 2 home losses
Divided by total number of teams to lose the first 2 games at home
That easy
I just don’t have the 2nd number
Where is @dtgold88 when you need him?
You are taking about a totally different number. Let’s start from scratch. You concede that down 0-2 the number is about 8 percent. Do you think the number when losing the first 2 at home is somehow higher than that?
Ok now take 16 percent of the 8 percent and you have the answer.Yes.
I actually just found it on basketball reference.
We will an apples to apples comparison. So this data only includes best of 7 series in the 2-2-1-1-1 format.
Since 1984, there have been 25 occasions where the home team has gone down 0-2.
4 of them won.
4/25 = 16%
You’re not aggregating the data the right way. The percentage can’t be acquired taking the number of teams down 2-0 having dropped two home games divided by the total number of teams that have had a 2-0 lead. You have to take number of teams that have won a series after losing the first two two home games divided by total number of teams who have dropped the first two home games to go down 0-2.You are taking about a totally different number. Let’s start from scratch. You concede that down 0-2 the number is about 8 percent. Do you think the number when losing the first 2 at home is somehow higher than that?
You’re not aggregating the data the right way. The percentage can’t be acquired taking the number of teams down 2-0 having dropped two home games divided by the total number of teams that have had a 2-0 lead. You have to take number of teams that have won a series after losing the first two two home games divided by total number of teams who have dropped the first two home games to go down 0-2.
And you are trying to say that the percentage of teams that win from losing the first 2 at home is greater than the overall percentage of teams that won from0-2 total. Not possible, it’s a subset.Thank you.
Exactly what I have been trying to say all along.
You have been talking about something different the whole time. My math is correct.Nope.
You have been wrong this whole time.
Ok now take 16 percent of the 8 percent and you have the answer.
I’ll take your que, don’t give a rip what you do.Can we move on now?
Apparently you don’t know what logic is.Maybe.
But your logic is not.
And you are trying to say that the percentage of teams that win from losing the first 2 at home is greater than the overall percentage of teams that won from0-2 total. Not possible, it’s a subset.
Apparently you don’t know what logic is.