But with regard to my personal player rankings, Daicos has gone 1, 4, 1 over the last 3 years.
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But with regard to my personal player rankings, Daicos has gone 1, 4, 1 over the last 3 years.
But this is a genuine question - if you believe other players can back up their rating on a year-to-year basis, why don't you think this will happen for Smith? If you're rating 2023 form as being significant in how good a player is (and strangely, not 2022 form where Smith was elite), why don't you think Zak Butters will be a top 5 player because his 2023 year was his career best (if you're weighing 2023 so heavily, like you are for Daicos and Smith).
But what makes this more true for Smith than every player generally?Players get studied and targeted.
Did you read the rest. I thought I explained that. He's coming off an outstanding year and hasn't shown he can back it up consistently. So you'd obviously be more confident of the blokes coming off multiple outstanding years. May very well have another outstanding year, but surely you'd be more confident regarding Nick, Bont, Serong, Neale etc... and it's more that just being targeted, it's often an inner drive as well. Complacency sometimes sets in following success.But what makes this more true for Smith than every player generally?
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Did I need to list ALL the players I thought would be top 5 or 10?But this is a genuine question - if you believe other players can back up their rating on a year-to-year basis, why don't you think this will happen for Smith? If you're rating 2023 form as being significant in how good a player is (and strangely, not 2022 form where Smith was elite), why don't you think Zak Butters will be a top 5 player because his 2023 year was his career best (if you're weighing 2023 so heavily, like you are for Daicos and Smith).
In June last year, champion data had Geelong rated the best team (fair enough) I'll give you 7 guesses for who they had second.Champion Data have actively told you that Collingwood won games because they had 8 defenders who were among the best 100 defenders in the league.
Champion Data have actively told you that Western Bulldogs won fewer games than the Dogs because they had only 2 defender that were among the best 100 players in the league.
Do you disagree with the above statement, or the generalised ranking of the depth of defenders in both teams?
No sarcastic comments about how the Dogs defenders are attacking or not attacking or whatever, just f you agree with the simple view of the rankings of each team's set of defenders of "I hold a view that the Dogs defenders are not good players in depth, and even their third or fourth best defender would not be in the best 5 or 6 at an average finals team, and yet, the Pies defender that starts on the bench could very well have been the fourth or fifth best defender at other finals teams".
No sarcastic comments about them as players, just their rankings.
Do you disagree with those rankings for the defensive groups, as individual players?
Astute judges.In June last year, champion data had Geelong rated the best team (fair enough) I'll give you 7 guesses for who they had second.
Melbourne
Astute judges.
He usually goes for wins via attrition after relentless trolling and childish remarks, shutting down any attempt to actually debate the specifics of any football discussion. It all operates on the premise of anything that doesn't label Daicos the strongest/best must be ludicrous, and any area where Daicos did "the best" is bulletproof. Then just "LOLOLOLOL" until the person realises it is being dragged down to a 3 year old level.You haven’t said a single meaningful thing about football. It’s obvious why.
So you're allowed to point out one part of the algorithm that you don't agree with, but we're not allowed to point out the many other parts of the algorithm that we don't agree with?
I'm starting to understand your MO now.
The mugs buying it are the people that matter. They're not going to stop selling it whilst an increasing number buy into it.By all means, if you don't agree with parts of the algorithm, then let the makers know in writing. Let us know if you get a response and what they say. No point telling us - tell the people that matter.
You see, I've actually read the PhD thesis that led to its creation (and so can the posters on this board now that I'm linking it here) so I believe I'm somewhat qualified to talk about it.By all means, if you don't agree with parts of the algorithm, then let the makers know in writing. Let us know if you get a response and what they say. No point telling us - tell the people that matter.
??Why did Collingwood's team collectively get within 10% of the team player ratings points to the Dogs when their matches were more than 20% lower scoring though? Explain that to me please.
You have misunderstood the actual ratings, the equity term is how they assign a rating based on ground position based on historic likelihood of what the next score will be.But it's an equity measurement that is meant track directly to margins of victory,
Yep.The real argument for Bont over Nick is that he's been doing this shit for a decade. Everything has been thrown at him and he's adapted and always found a way to have a massive impact on a game of footy. He's a champion that everyone knows will star.
??
You were the one incorrectly blabbering on about it being about margins.
You have misunderstood the actual ratings, the equity term is how they assign a rating based on ground position based on historic likelihood of what the next score will be.
It isn't anything to do with margins, teams can lose and still end up with a higher collective team rating score than their opponent.
The funny bit was your then created pretend imaginary ratios based on your bunkum and patted yourself on the back as "proof".
It is weird that you keep trying to force or pretend a linear relationship exists between ratings and % or scoring, but that isn't how it works.
You see, I've actually read the PhD thesis that led to its creation (and so can the posters on this board now that I'm linking it here) so I believe I'm somewhat qualified to talk about it.
I also believe that player ratings points scales in terms of pace of play. That is, it adjusts all scores for the number of possession chains in a game, scaling it to league average. Though not a strong correlation, higher scores correlates to matches with more chains (that is, kick ins + clearances + intercepts for each team). Meaning, that if it just so happens for the entire last quarter than two back pockets play kick to kick for each other for 1 total chain for the entire quarter, everyone's score for the first 3 quarters actually increases by one third to account for this (obviously, the adjustments are less extreme, but it holds true for principles). Anyway, it refutes the idea that Bont gets lots of these points because his team plays this high-octane style with lots of chains of possession for both teams - if that's true, it has already scaled down Bont's point.
We could have an intelligent discussion about Daicos, the algorithm, and both what we can learn from the algorithm as it relates to why it doesn't rate Daicos (via understanding how it scores via the above link), both in the sense that maybe the Algorithm is flawed, but maybe our collective, consensus rating of Daicos is also flawed. It's an interesting, curious, intellectual exercise... that is not engaged in at all by Pies fans, who want to troll, mislead, selectively ignore and just act in all-around bad faith.
It shows that it correlated between 2013-2016. Incidentally, that was before Richmond brought us surge footy. It sure as hell didn't correlate in terms of match outcomes last year, which is the correlation claim - because that's what matters - percentage sure as hell doesn't why would anyone test against that. Maybe Nick Daicos has broken the system - in the same he's clearly broken you.
Wrong.
The linear relationship exists. Per that link.
If you don't think margin of victory has some relevancy in letting us assess a team is good and therefore more likely to win future games (and players are "good" insofar they're likely to contribute to future wins), what are we doing here?It's a descriptive system which describes past events. And it described the Dogs, who didn't make finals, as outperforming the teams who played finals last year.
That is a massive failure from the system.
Great that he's done a PHd and might it lead to something in the end, but it's currently way less accurate than the ladder in terms of describing performance.
Bad faith smartarse. It continues to be correlates, because the algorithm is applied identically, and champion data records the statistical inputs identically since 2016.It shows that it correlated between 2013-2016. Incidentally, that was before Richmond brought us surge footy. It sure as hell didn't correlate in terms of match outcomes last year, which is the correlation claim - because that's what matters - percentage sure as hell doesn't why would anyone test against that. Maybe Nick Daicos has broken the system - in the same he's clearly broken you.
Obviously, against common opponents, a team that wins one game by 60 points and loses one game by 5 points is a better team then one that wins two games both by 10 points.

If you don't think margin of victory has some relevancy in letting us assess a team is good and therefore more likely to win future games (and players are "good" insofar they're likely to contribute to future wins), what are we doing here?
Obviously, against common opponents, a team that wins one game by 60 points and loses one game by 5 points is a better team then one that wins two games bothby 10 points. Despite the better team having 1 win 1 loss and not 2 wins - at least in the context of who you believe, out of the two teams, would be more likely to defeat a common third team.
If you don't agree with that principle (and to be clear, I'm saying it at is just a general principle, not a hard and fast rule in all scenarios and in all contexts) what are we doing here?
Let me present to you a thought exercise.
Let me present to you a thought exercise.
There's a sport you've never heard of having their world cup. It's a group of 4 teams. All the information you have is this:
Team A beat Team C by a margin of 100-99
Team A beat Team D by a margin of 90-89.
Team B loses to Team C by a margin of 100-99
Team B defeats Team D by a margin of 120-60
You know nothing about how the sport is played or how they score points, other than it is played to a clock (as opposed to tennis or badminton) or and you accumulate points as time progresses.
Team A and Team B are now playing each other in Game 3 of their world cup group.
Team A has 2 wins
Team B has 1 win
They have both played the same opponents.
You posses no other information about the matches.
It is a factual basis that the team that is the better team will be more likely to win the match.
Which team do you think is more likely to win this game?
As a blanket rule I think it's ridiculous. I think you need a heap of context to decide that
Over the course of a season, teams play largely similar schedules, in that they play every team at least once but not more than twice, and they have 11 home and 11 away games.Who were they playing? When were the games done as a contest? What were the tactics regarding the final quarter.
This is where I disagree. Across all games played among all top 9 teams last year, the Dogs had the 5th best percentage of those teams. We were competitive against the league's best, and somewhat unlucky to lose matches by narrow margins.but didn't cut it in the top flight league
The indomitable Team AWhich team do you think is more likely to win this game?
