Purefoods-Alaska game 1, in numbers
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Bullshit call by referee Maui Maurillo mars game 2 of Purefoods vs. Alaska
I spent the past couple of days back at my family’s ancestral home in Middle of Nowhere, Iloilo to attend to some family matters, so I missed the second game of the Philippine Cup finals between Purefoods and Alaska. Quite serendipitously, I ran into Patr
I spent the past couple of days back at my family’s ancestral home in Middle of Nowhere, Iloilo to attend to some family matters, so I missed the second game of the Philippine Cup finals between Purefoods and Alaska. Quite serendipitously, I ran into Patr
Weblog: Fire Quinito
Tracked: Feb 28, 15:39
Tracked: Feb 28, 15:39
Purefoods finds ways to win, takes 3-0 lead over Alaska
To the naked eye, the last two games of the ongoing PBA Philippine Cup finals series between Purefoods and Alaska have been pretty much alike. They have been low-scoring games, with Purefoods pulling out the win at the last possessions. The scores have
To the naked eye, the last two games of the ongoing PBA Philippine Cup finals series between Purefoods and Alaska have been pretty much alike. They have been low-scoring games, with Purefoods pulling out the win at the last possessions. The scores have
Weblog: Fire Quinito
Tracked: Mar 01, 15:37
Tracked: Mar 01, 15:37
Comments
nice nice post you have here. hmm, i bet QH will read on this and finally has something substantial to say next game, LOL!
Nice Technical analysis of the series, detailed and comprehensive i haven't read from our seasoned sportswriter nor watched from TV a presentation like this..must read ,good job Jaemark !
John, they need to get schooled by John Hollinger or guys from 82games.com and basketball-reference.com. lol ka talaga
if Mark Pingris is like Sakuragi
then,
Coach Gregorio - Coach Anzi
Roger Yap - Ryota Miyagi
James Yap is like Mitsui? or Rukawa? hmmm?
more like of a Mitsui...
now, who is the Rukawa of PF?
Raymundo? Puwede, hehe
Akagi? hmmm? Reavis? Puwede na rin,,, si Rommel Adducul sana,
then,
Coach Gregorio - Coach Anzi
Roger Yap - Ryota Miyagi
James Yap is like Mitsui? or Rukawa? hmmm?
more like of a Mitsui...
now, who is the Rukawa of PF?
Raymundo? Puwede, hehe
Akagi? hmmm? Reavis? Puwede na rin,,, si Rommel Adducul sana,
marc pingris - hanamichi sakuragi = agree.
roger yap - ryota miyagi? i think it fits more with artadi. ryota's known for his speed and precision passing. [and not really known as a good shooter]
james yap - mitsui?.. not really.. james should be rukawa.. why? mitsui is somewhat a one-dimensional player, just a shooter.. [spot-up shooter, the guy can't even create his own shots] and james ain't such.
kerby - rukawa? oh come on.. give me a break..
roger yap - ryota miyagi? i think it fits more with artadi. ryota's known for his speed and precision passing. [and not really known as a good shooter]
james yap - mitsui?.. not really.. james should be rukawa.. why? mitsui is somewhat a one-dimensional player, just a shooter.. [spot-up shooter, the guy can't even create his own shots] and james ain't such.
kerby - rukawa? oh come on.. give me a break..
love the fact that you're dipping into the advanced stats, jae!
hard to say though that purefoods is winning because its alaska is playing at its pace. season numbers show these two teams to be the two slowest teams in the league. i think its safe to say alaska is pretty comfortable slowing it down.
and wasn't that my main complaint about alaska ever since the first time we met? alaska plays so slow that some people think they're a good defensive outfit, when in fact they are decidedly average on that end. good thing they're very often an elite team on offense, like this season where they are #1.
hard to say though that purefoods is winning because its alaska is playing at its pace. season numbers show these two teams to be the two slowest teams in the league. i think its safe to say alaska is pretty comfortable slowing it down.
and wasn't that my main complaint about alaska ever since the first time we met? alaska plays so slow that some people think they're a good defensive outfit, when in fact they are decidedly average on that end. good thing they're very often an elite team on offense, like this season where they are #1.
yeah, that's a valid point. i guess that's why i kinda hedged on my conclusions, pointing out that purefoods has been defending well and alaska's offense went down.
but game 2 stats show that both teams burned the hoops (more than 100 points per 100/poss for each team), on an 83 possession ball game. but i don't think stats told the whole story of the game ;)
but game 2 stats show that both teams burned the hoops (more than 100 points per 100/poss for each team), on an 83 possession ball game. but i don't think stats told the whole story of the game ;)
" ... advanced statistics to Game 1 of the PBA Philippine Cup finals last night."
Yah right. Advance statistics my arse. Your presentation is nothing but a direct cartesian graph of statistics between the teams that you discussed. Any undergrad wannabe can do that shit.
If you talk about advance statistics, why not do a simulation model of future game results extracted from multiple parameters of certainty and interpolate that with variating probabilities. Exponential result problems?? Well, that's why they called it ADVANCE !!!
hahaha... ang BP... hahaha...
Yah right. Advance statistics my arse. Your presentation is nothing but a direct cartesian graph of statistics between the teams that you discussed. Any undergrad wannabe can do that shit.
If you talk about advance statistics, why not do a simulation model of future game results extracted from multiple parameters of certainty and interpolate that with variating probabilities. Exponential result problems?? Well, that's why they called it ADVANCE !!!
hahaha... ang BP... hahaha...
actually, the advanced statistics part applies to adjusting for pace, which 'basic' statistics from the box score basically ignores. not the graphs, dumbass.
Now you're talking. Presenting a grapchical representation of results and basing your future adjustments for pace is nowhere near advcance statistics at all. Why not apply factor analysis (scrutinize known data vs. unknown data) or reliability engineering (how a team can perform for the next game).
Using direct x-y representation of game stats and using those data to assess and adjust future game decisions is futile. It is more appropriate using those data to evaluate a player's or a coach's or a team's performance. That for me is a more effective way of using those data during say, re-negotation of contract between players and team owners. Once you try using those data (the one you presented) as a basis for your adjustment for your next game is completely a waste of time. Now, you may tell me that i'm out of my mind. But let me enlighten you with my dogma.
That adjustment to pace that you are referring to can only be effective if your opposing team is stagnant. (meaning they will perform the same thing as the previous game). Now, in reality that is not the case because your gameplan would always be not suitable for the gameplan of the other team. The other team would always not perform the same thing. You can only co-relate what will happen the next game with that of the previous game but both games are not the same. In short, statistics in game 1 is totally different from game 2 and future games.
Secondly, any adjustment on the pace that you are talking about cannot be translated to uniform actions because of the fluidity of the game itself. Let me give you one simple example. Assume FPG for alaska for game 1 is 40% and FPG for game 2 is 42%. Now, you cannot adjust that one (basing on your adjusting for pace theory) just by telling your players to increase the number of times they shoot. Nor can you increase the FPG by telling them to pass the ball, or to execute the triangle offense all the time, etc. You have to be more specific than that to pinpoint what are the weaknesses of your opponent and what are your strengths DURING the very game itself. Those things cannot be extracted from any statistical data of previous games.
My point here is don't give much importance to what happened during the previous games. The outcome of the next game can only be determined on which coach can adjust quickly against the performance of the opposing team DURING that game.
KAPISH???
hahaha... ang BP... hahaha...
Using direct x-y representation of game stats and using those data to assess and adjust future game decisions is futile. It is more appropriate using those data to evaluate a player's or a coach's or a team's performance. That for me is a more effective way of using those data during say, re-negotation of contract between players and team owners. Once you try using those data (the one you presented) as a basis for your adjustment for your next game is completely a waste of time. Now, you may tell me that i'm out of my mind. But let me enlighten you with my dogma.
That adjustment to pace that you are referring to can only be effective if your opposing team is stagnant. (meaning they will perform the same thing as the previous game). Now, in reality that is not the case because your gameplan would always be not suitable for the gameplan of the other team. The other team would always not perform the same thing. You can only co-relate what will happen the next game with that of the previous game but both games are not the same. In short, statistics in game 1 is totally different from game 2 and future games.
Secondly, any adjustment on the pace that you are talking about cannot be translated to uniform actions because of the fluidity of the game itself. Let me give you one simple example. Assume FPG for alaska for game 1 is 40% and FPG for game 2 is 42%. Now, you cannot adjust that one (basing on your adjusting for pace theory) just by telling your players to increase the number of times they shoot. Nor can you increase the FPG by telling them to pass the ball, or to execute the triangle offense all the time, etc. You have to be more specific than that to pinpoint what are the weaknesses of your opponent and what are your strengths DURING the very game itself. Those things cannot be extracted from any statistical data of previous games.
My point here is don't give much importance to what happened during the previous games. The outcome of the next game can only be determined on which coach can adjust quickly against the performance of the opposing team DURING that game.
KAPISH???
hahaha... ang BP... hahaha...
you see, you're kind of missing the point. although i appreciate what you're trying to say.
what i'm trying to put here is a report of what happened in game 1, by taking a look at the numbers. in the same sense, i am adjusting for pace, to determine if the apparent low score that the two teams scored was a result of good defense (as most announcers are too quick to declare) or because the teams played slower.
i am looking at data from previous games to provide context, which is very important in any analysis.
in game 1, we could see that purefoods played better defense against alaska than ginebra did. we also know that game 1 was slower than alaska's last three games against the gin kings.
efficiency (points scored/allowed per 100 possessions) is a commonly used metric in the nba analytics community, precisely because it adjusts for pace and style of play. it looks at how well one team scores, regardless of how they do it, whether it is from the line, the three-point line, or elsewhere in the field.
the data backs up conclusions you'd get from the traditional scouting/coaching perspectives, that alaska needs to shoot better from the field (which they did in game 2), and that it probably wouldn't hurt for alaska to pick up the pace and score before purefoods' defense gets set.
what i'm trying to put here is a report of what happened in game 1, by taking a look at the numbers. in the same sense, i am adjusting for pace, to determine if the apparent low score that the two teams scored was a result of good defense (as most announcers are too quick to declare) or because the teams played slower.
i am looking at data from previous games to provide context, which is very important in any analysis.
in game 1, we could see that purefoods played better defense against alaska than ginebra did. we also know that game 1 was slower than alaska's last three games against the gin kings.
efficiency (points scored/allowed per 100 possessions) is a commonly used metric in the nba analytics community, precisely because it adjusts for pace and style of play. it looks at how well one team scores, regardless of how they do it, whether it is from the line, the three-point line, or elsewhere in the field.
the data backs up conclusions you'd get from the traditional scouting/coaching perspectives, that alaska needs to shoot better from the field (which they did in game 2), and that it probably wouldn't hurt for alaska to pick up the pace and score before purefoods' defense gets set.
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