Author Topic: Who's better...'16 or '17 Celtics?  (Read 6250 times)

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Re: Who's better...'16 or '17 Celtics?
« Reply #30 on: November 07, 2017, 04:30:53 PM »

Offline bopna

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With or without Hayward we are better this yr than in 16.
The noted improvement in Brown has already eclipsed what AB dis for us last yr. Semi is the same as Crowder.
And now we have improved our frontcourt and rebounding with Baynes and Theis...
IT and Kyrie is a wash...IT scores more but Kyrie gives us a prolific killer in close games.
16 was a cinderella yr and I will never forget it but this yr is just sick.

Re: Who's better...'16 or '17 Celtics?
« Reply #31 on: November 07, 2017, 05:16:00 PM »

Offline Chris22

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Who's better... '17 Celtics or the '86 Celtics?

Re: Who's better...'16 or '17 Celtics?
« Reply #32 on: November 07, 2017, 05:40:07 PM »

Offline mmmmm

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.
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Re: Who's better...'16 or '17 Celtics?
« Reply #33 on: November 07, 2017, 05:54:37 PM »

Offline saltlover

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.

Chiming in here, but over a decade ago I checked out Pythagorean W/L for baseball  (for which the stat was invented) in a college stats course to see if there was correlation from year-to-year for a team with the same manager, testing the hypothesis that maybe managaerial decision-making played a part in winning close games.  There was zero correlation.  My stat came out to .001 — it was amazing how random it was. 

I know that’s not the exact same thing you’re looking at, and basketball is different than baseball (although both sports theoretically have close-and-late-game patterns that you’d think could hold a trend from year-to-year), but it’s really impressive how persistent the year-to-year fluctuation is.  Sure, there are cases when a team beats it six years in a row, but I’ve also flipped a coin and landed on heads six times in a row.

Re: Who's better...'16 or '17 Celtics?
« Reply #34 on: November 07, 2017, 06:13:33 PM »

Offline tstorey_97

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Prefer the eye test over stats here. Opponents and growth curve in 2016 is far different from 2017.

Obviously this team is better for the host of reasons listed in the preceding posts and more. I'm going with the following reason. It's based on watching the first 6 or 7 minutes of the fourth quarter of the last 8 games or so.

In 2016 our "bench rotation" may have looked like:

Thomas
Smart
Rozier
Olynyk
Jerebko

Of late our bench looks like:

Irving
Smart
Rozier
Semi
Baynes

Of course, there are uncountable combinations...right? But, you stop the musical chairs for a moment and this is what you get.

In 2016 that bench unit and the starters lost to a better version of the Hawks in April.

In 2017 that bench unit and starters beat the Thunder.

Why? If you go player by player and stats by stats I'm sure you can make the argument for 2017, but, I disagree.

2016's bench was  far weaker defensively with IT on the floor.
2016's bench was far weaker defensively with Olynyk on the floor....continue down the bench and you will see that Stevens would go "small" because his best four/five players were "small".

2017 bench doesn't have this problem does it?
Give Irving a breather and put Brown in in his place....this year's bench just gets bigger and bigger which is fine, but, the point is this:

Watch the beginning of the 4th. The opposing team is frustrated, gassed, demoralized what have you. Rozier and Smart are like night and day with a center and a wing and all the candy Santa can bring for Christmas.

Smart and Rozier are the Celtics bench. They are better now because they are surrounded by size and talent they had never dreamed of. This unit that "holds on" for the first 6 or 7 minutes of the final quarter is causing the last 9 opponents match up problem after match up problem and is helping win games.   

Re: Who's better...'16 or '17 Celtics?
« Reply #35 on: November 07, 2017, 06:29:06 PM »

Offline green_bballers13

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17 Celtics are better. Al Horford, Jaylen, and Rozier are playing better. Tatum brings more offense than Jae Crowder, and Baynes/Theis have improved the team's rebounding.

They're losing scoring from IT, but Kyrie has proven to be clutch already this year. He is a better defender than IT was last year. I'd say the production from the PG position has been close to a push so far between 16 and 17.

The 18 Celtics should be even better with Gordon Hayward and whoever they sign/draft.
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Re: Who's better...'16 or '17 Celtics?
« Reply #36 on: November 07, 2017, 06:32:21 PM »

Offline mctyson

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Tatum is such a superior player right now compared to Crowder.  Plus he can score at the rim on drives.

Avery is still a better player than Jaylen but Jaylen makes the team defense better because of this size.  Plus he can score at the rim on drives.

Baynes and Theis are exponentially better than Amir and the corpse of Zeller.  Plus they can score at the rim and dunk.

Semi is doing some of what Kelly Olynyk could do on offense, and is a million times better on defense.  And...

Kyrie is just icing on the cake.

Re: Who's better...'16 or '17 Celtics?
« Reply #37 on: November 07, 2017, 06:56:40 PM »

Offline Phantom255x

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Re: Who's better...'16 or '17 Celtics?
« Reply #38 on: November 07, 2017, 07:35:21 PM »

Offline Fan from VT

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.

I think we are talking about different things.

I looked back at my first post, and I never said anything specifically about close games. And yes, good teams win more close games and bad teams lose more close games than average.

But that doesn't explain the variation in expected wins vs actual wins. The Celtics "Should" have won 48, but won 53. Washington, the "best" clutch team, "should" have won 46 and won 49, so a 3 game over performance. Houston, #2 most clutch, "should" have won 55 and did win 55. Utah, #3 most clutch, Should have won 52 but only won 51. 

So I don't know how closely correlated those are, but if they were closely correlated and based on a definable skill, you would expect:
- Year after year, the same team (or primary players) being higher in the "Clutch winning percentage" rankings, AND
- Year after year, those same teams outperforming their expected wins.

The fact that good teams tend to stay on the upper end of winning close games but are really inconsistent in terms of outperforming expected wins kind of tells me that the win % in close games does not correlate all that well in terms of explaining why a team outperforms the expected wins.

I guess, said another way, if we could hypothetically play last season over again with the same rosters, I would be more surprised if they won 53 than if they won 48 games. Doesn't change anything about how fun last year was, but is valuable info in terms of whether they should have brought back the same roster or tried to change it up like they did.

Re: Who's better...'16 or '17 Celtics?
« Reply #39 on: November 07, 2017, 08:21:50 PM »

Offline Big333223

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Re: Who's better...'16 or '17 Celtics?
« Reply #40 on: November 07, 2017, 10:34:01 PM »

Offline mmmmm

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.

I think we are talking about different things.

I looked back at my first post, and I never said anything specifically about close games. And yes, good teams win more close games and bad teams lose more close games than average.

But that doesn't explain the variation in expected wins vs actual wins. The Celtics "Should" have won 48, but won 53. Washington, the "best" clutch team, "should" have won 46 and won 49, so a 3 game over performance. Houston, #2 most clutch, "should" have won 55 and did win 55. Utah, #3 most clutch, Should have won 52 but only won 51. 

So I don't know how closely correlated those are, but if they were closely correlated and based on a definable skill, you would expect:
- Year after year, the same team (or primary players) being higher in the "Clutch winning percentage" rankings, AND
- Year after year, those same teams outperforming their expected wins.

The fact that good teams tend to stay on the upper end of winning close games but are really inconsistent in terms of outperforming expected wins kind of tells me that the win % in close games does not correlate all that well in terms of explaining why a team outperforms the expected wins.

I guess, said another way, if we could hypothetically play last season over again with the same rosters, I would be more surprised if they won 53 than if they won 48 games. Doesn't change anything about how fun last year was, but is valuable info in terms of whether they should have brought back the same roster or tried to change it up like they did.

You need to step back and remember what the Pythagorean W/L is based on and what it is telling us and what it isn't.

It is ultimately based on the total points scored and the total points surrendered.  From those two numbers it is estimated what the "expected" wins are.   But that "expectation" is simply a model and the model is only as good as it's inputs.  The variance here isn't sourced by the wins exceeding the prediction.  The variance is in the inputs to the model.  In this case, as I alluded to, the Celtics last year had multiple extreme blowout losses.   Those 'outliers', if you will, overweighted the impact of just a handful of losses on the point differential.   This leads to a point-differential-based model of a team that should win fewer games than the real team should have and did based on it's actual talent.

What I am also telling you is that there are team skill and make-up factors that correlate with winning overall and one of those is the ability to win close games.   In this case those factors were seemingly more in line with the real W-L record of the team than the simple point-differential.
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Re: Who's better...'16 or '17 Celtics?
« Reply #41 on: November 08, 2017, 12:28:08 PM »

Offline mmmmm

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.

I think we are talking about different things.

I looked back at my first post, and I never said anything specifically about close games. And yes, good teams win more close games and bad teams lose more close games than average.

But that doesn't explain the variation in expected wins vs actual wins. The Celtics "Should" have won 48, but won 53. Washington, the "best" clutch team, "should" have won 46 and won 49, so a 3 game over performance. Houston, #2 most clutch, "should" have won 55 and did win 55. Utah, #3 most clutch, Should have won 52 but only won 51. 

So I don't know how closely correlated those are, but if they were closely correlated and based on a definable skill, you would expect:
- Year after year, the same team (or primary players) being higher in the "Clutch winning percentage" rankings, AND
- Year after year, those same teams outperforming their expected wins.

The fact that good teams tend to stay on the upper end of winning close games but are really inconsistent in terms of outperforming expected wins kind of tells me that the win % in close games does not correlate all that well in terms of explaining why a team outperforms the expected wins.

I guess, said another way, if we could hypothetically play last season over again with the same rosters, I would be more surprised if they won 53 than if they won 48 games. Doesn't change anything about how fun last year was, but is valuable info in terms of whether they should have brought back the same roster or tried to change it up like they did.

The reason 'close games' are important in this discussion is simple.  IF you lose all your games by a big margin but only win by a tight margin, then you will out-perform your pythagorean W-L.  That's how the math works.

If a team had the following record:

W  95-90
L  92-110
W  93-89
W 98-96
W 100-97

their pythagorean W-L % would be .504, which is a far cry from the reality of .800.

This comes back to sources of information.  The model is being informed by the scoreboard of each game.  But the scoreboard in the loss game is not necessarily conveying information about the talent level or "ability to win games" of the team.  It may be informing simply that maybe some star players are missing or that the bench of the other team dominated your bench.   Blow-outs tend to obscure the information that the pythagorean model needs behind other noise.

In a 'normal' NBA season, one might expect that the share of excess points allowed due to blow-out losses would be balanced out by the share of excess points scored in blow-out wins.     And that would normally serve to mitigate misinformation..   But in the case of the Celtics last year, they had an asymmetry in this regard.  In 2016-17,  31.0% of Celtic losses were by over 10 points but only 22.6% of their wins were by over 10 points.

Now, you could call the asymmetry in blow-outs a matter of 'luck', if you want (though I tend to think it has more to do with end-of-bench strength and coaching philosophy of not chasing unwinnable games).   But it certainly isn't from having been 'lucky' to win a few extra games.

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Re: Who's better...'16 or '17 Celtics?
« Reply #42 on: November 08, 2017, 12:39:55 PM »

Offline Moranis

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We'll have to see if it continues, but right now, definitely '17. Last year was great, no doubt, but we were a little overrated. Our margin of victory was only 2.6, and our "expected" pythagorean wins were only 48 compared to 53 actual wins, indicating we were statistically lucky to win 5 extra games, making us look better than we actually were. SRS (simple rating, taking into account margin of victory and strength of schedule) was 2.25, or 8th place.

This year, our pythagorean expected wins are 9 and we have 9 wins, so we are not abnormally lucky. Our margin of victory is up to 9, and SRS is up to 7, for 3rd in the league.

So, thus far, better this year.

Out-performing the pythagorean W-L isn't necessarily about 'luck'.   Teams that have very good half-court execution tend to do well in games that come down to a few possessions.   I.E., 'crunch time' favors half-court execution.   And the Celtics last year were extremely good in half-court / crunch-time execution because of their devastating pick & roll game (fueled by a certain little guy).

I totally agree that this year's team is significantly better than last year's.  This year's roster is just so much more balanced.  Last year's lineups were way too small-guard-centric.  This year we are depending on and getting way more out of our bigs and our swings.   

But I disagree that last year's was 'overrated' or 'lucky'.   They went to 5 games in the ECF and if not for devastating injury, might have taken that series further.   Their record and seeding were legit.

I've been calling for this years team to do better all along.  Both before and after the IT/KI trade, I was calling for 55+ wins, threatening 60 if things all went well.   I didn't see any reason to change that prediction after the trade.   I admit that I hedged and revised my projection to ~54 wins after Hayward was lost, but given how fast Jaylen and Jason have developed to take up the slack, I'm back on my original 55+ projection.   Barring injury, of course.

Eh, you'd expect it to be more consistent year to year if that were the case. This year we match evenly (small sample). Last year +5. 2 years ago -2.

Golden state: This year matches, last year even, 2 years ago +8.

OKC: -3/+4/-4

Memphis: 0/+1/+7

San Antonio: 0/+1/+1

Cleveland: 0/+2/0.

Generally, teams are right on, or pretty close. When there are big divergences (either positive or negative) they are not typically sustained year to year, even without major coaching or player changes.

You'd think that all teams would thus cluster around .500 in 'close games' (games decided by just a couple of possessions) if close-game out-comes were truly random.

But they don't.   Last year the Celtics were 4th best in 'close' games with a .643 W/L percentage.   The teams at the top of the rankings were all 'good teams':  WA, HOU, UTA, BOS and the teams at the bottom were crappy teams:  MIN, DEN, CHA, LAL, BKN.    All those teams had terrible half-court efficiencies on both ends of the court.

https://www.teamrankings.com/nba/stat/win-pct-close-games?date=2017-06-13

The Pythagorean W/L projection does have fairly strong correlation overall, but it can be skewed if a team has just a handful of anomalous games.   The Cs last year had several notable 'blow-out losses', especially early in the season (Anyone remember the DEN, WA & GSW games?).   Even late in the year, they had a 16 point loss to the freaking Kings as well as the 23 point blow-out to the Cavs. 

Certainly, random luck IS a factor for deviations from Pythagorean W-L.  But it is not the only factor.

It's not quite that close games are 50/50, but the deviation from pythagorean wins IS mostly random. As easily demonstrated that MOST teams cluster very close in terms of actual wins vs pythagorean wins, and, as I showed you a few examples, when teams DO stray from their pythagorean win expectations, either positively nor negatively, they then tend to return to zero or even the opposite by the next year. If deviating from pythagorean wins was a skill, or depended on certain skills, then it would be repeatable year to year, but it's not.

What it shows is that if we kept the same roster as last year and everyone played the same, we probably would have won 49 or so games without actually being a "worse" team.

I'm not disagreeing that random luck is a huge (possibly primary) factor for deviations from pythagorean wins.

But if you examine year after year of team win % in "close" games, the fact is, there is (a) a wide dispersal with the top teams winning 60-80% of those games and the bottom teams winning well under 40% and (b) the top teams in winning close games tend correlate fairly tightly with the better quality teams, who tend to be able to execute better when the games slow down.

It's not a 100% correlation.  But it is pretty strong.   Just toggle through the years at the link I gave.

Follow the fate of a team known to be strong for period of years, like San Antonio from 2011 - 2017 and they tend to ranked near the top of the 'close game' winning % every year.   

I haven't run the actual numbers to get a coefficient, but if you simply view the overall ("All Games") winning percentage ranking each year next to the "close game" winning percentage and slide through the years and you will visually see that the standings of each correlate fairly strongly.

I think we are talking about different things.

I looked back at my first post, and I never said anything specifically about close games. And yes, good teams win more close games and bad teams lose more close games than average.

But that doesn't explain the variation in expected wins vs actual wins. The Celtics "Should" have won 48, but won 53. Washington, the "best" clutch team, "should" have won 46 and won 49, so a 3 game over performance. Houston, #2 most clutch, "should" have won 55 and did win 55. Utah, #3 most clutch, Should have won 52 but only won 51. 

So I don't know how closely correlated those are, but if they were closely correlated and based on a definable skill, you would expect:
- Year after year, the same team (or primary players) being higher in the "Clutch winning percentage" rankings, AND
- Year after year, those same teams outperforming their expected wins.

The fact that good teams tend to stay on the upper end of winning close games but are really inconsistent in terms of outperforming expected wins kind of tells me that the win % in close games does not correlate all that well in terms of explaining why a team outperforms the expected wins.

I guess, said another way, if we could hypothetically play last season over again with the same rosters, I would be more surprised if they won 53 than if they won 48 games. Doesn't change anything about how fun last year was, but is valuable info in terms of whether they should have brought back the same roster or tried to change it up like they did.

You need to step back and remember what the Pythagorean W/L is based on and what it is telling us and what it isn't.

It is ultimately based on the total points scored and the total points surrendered.  From those two numbers it is estimated what the "expected" wins are.   But that "expectation" is simply a model and the model is only as good as it's inputs.  The variance here isn't sourced by the wins exceeding the prediction.  The variance is in the inputs to the model.  In this case, as I alluded to, the Celtics last year had multiple extreme blowout losses.   Those 'outliers', if you will, overweighted the impact of just a handful of losses on the point differential.   This leads to a point-differential-based model of a team that should win fewer games than the real team should have and did based on it's actual talent.

What I am also telling you is that there are team skill and make-up factors that correlate with winning overall and one of those is the ability to win close games.   In this case those factors were seemingly more in line with the real W-L record of the team than the simple point-differential.
Boston had 8 games last year where the margin was 20 or more points, 5 were wins, 3 were losses.  I don't think the blowout losses affected things as much as you think (though the team was 2-5 in games decided by 15-19 points). 
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Re: Who's better...'16 or '17 Celtics?
« Reply #43 on: November 10, 2017, 10:07:30 PM »

Offline Phantom255x

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Last year's team was fun in a unique way and I enjoyed watching them...

But come on... this year's team is fun, extremely resiliant AND talented. Tonight's game is clearly proof of it. Brad Stevens COTY! We finally have multiple guys who can put the ball through the bucket (instead of last year where it was only Isaiah we had to rely on).

Answer: '17 Celtics
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Re: Who's better...'16 or '17 Celtics?
« Reply #44 on: November 10, 2017, 10:13:05 PM »

Offline knuckleballer

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I don't know, but this team's grit is very reminiscent of last year's team.  Refuse to lose.  You have to credit Stevens for that.