Game 10: Seattle Seahawks v L.A. Mutton Chops
Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
Zabel's numbers are impressive. 
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Michael K.
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
Yeah, what a turd.

Gray Zabel has an 85% run block win rate, which is ranked first in the NFL among interior linemen, according to ESPN. This metric was based on a mid-season evaluation.
Current Ranking: Zabel is ranked #1 in the NFL for run block win rate among interior offensive linemen, based on ESPN's metrics from October 2025.
Specific Win Rate: His run block win rate is 85%, though this is a metric that can fluctuate throughout the season and may be higher at certain points. For example, in an earlier evaluation, he was ranked fourth with an 80% win rate.
Fuck that guy, let's bench him!Gray Zabel's pass-blocking win rate is not as high as his run-blocking rate, but he has been very reliable in pass protection, allowing pressures on only a small percentage of his pass-blocking opportunities, with the best mark in the league among guards. While his pass-block win rate might not be ranked #1, he ranks highly among rookies and is considered highly efficient.
Overall performance: Zabel is considered a reliable pass protector, allowing pressures on just 3.5% of his pass-blocking opportunities.
Rookie performance: He has the best pressure rate in the league among rookie guards with at least 15 pass-blocking snaps, allowing 0.0% pressure rate per 33rd team.
Overall efficiency: Zabel's pressure rate is the best in the league for guards of any age and ranks third among all linemen with 200 or more pass-blocking snaps.
Comparison to other rookies: Zabel is considered to be a top-tier rookie in pass protection, as his efficiency stands out among other rookies in the league.
Other stats: He has also been credited with the league's fewest quick pressures allowed
- Sibelius Hindemith
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
It would be interesting to know why there is such a massive discrepancy between how PFF and ESPN evaluate his run blocking.
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Donn Beach
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
I brought this up a year or two ago, ESPN is using Next Generation Stats, it's the NFL sanctioned embedded sensors, it's actually analytics, the question then was PFF going to be able to complete with their visual systemSibelius Hindemith wrote: ↑Thu Nov 20, 2025 2:29 amIt would be interesting to know why there is such a massive discrepancy between how PFF and ESPN evaluate his run blocking.
What is Next Generation Stats?
NFL player tracking, also known as Next Gen Stats, is the capture of real time location data, speed and acceleration for every player, every play on every inch of the field. Sensors throughout the stadium track tags placed on players' shoulder pads, charting individual movements within inches
- Sibelius Hindemith
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
I don't really understand the difference other than with the sensors you know the exact direction and speed of each player at a given moment. So then is that data used to create a visual representation of dots on a screen that still has to be interpreted by human observors or is that done by AI?
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Donn Beach
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
It's not being interpreted on a screen by humans it's being processed by computers. It's like Robo umps, the subjective aspect has been removed. It's pure data, then you need preogrammers to come up with programs to analyze it and pundits to explain itSibelius Hindemith wrote: ↑Thu Nov 20, 2025 12:39 pmI don't really understand the difference other than with the sensors you know the exact direction and speed of each player at a given moment. So then is that data used to create a visual representation of dots on a screen that still has to be interpreted by human observors or is that done by AI?
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Donn Beach
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
Haynes played well, wonder if darnold takes MM's instructions to be loose and focused to heart
According to Pro Football Focus, Haynes allowed one hurry on 10 called passes on 10 plays and finished with a respectable grade of 69.4.
“We've seen it on our football team," coach Mike Macdonald said Wednesday. “If somebody can't go for a certain amount of time, whether it's practice or games, the standard stays the same. We expect you to go in and go rip it for us and he did that. He didn't bat an eye."
Said Haynes: “I felt pretty good out there. I felt in my groove. One thing that coach Mike always says is just be loose and focused and I just felt loose and focused. Just lock in and go out there and play my game."
- Sibelius Hindemith
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
It would seem to me the problem with that would be that what is being analyzed (a group of points) is a much smaller data set than what is available when humans are watching video of players.Donn Beach wrote: ↑Thu Nov 20, 2025 3:27 pmIt's not being interpreted on a screen by humans it's being processed by computers. It's like Robo umps, the subjective aspect has been removed. It's pure data, then you need preogrammers to come up with programs to analyze it and pundits to explain itSibelius Hindemith wrote: ↑Thu Nov 20, 2025 12:39 pmI don't really understand the difference other than with the sensors you know the exact direction and speed of each player at a given moment. So then is that data used to create a visual representation of dots on a screen that still has to be interpreted by human observors or is that done by AI?
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Donn Beach
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Re: Game 10: Seattle Seahawks v L.A. Mutton Chops
Yeah it removes the subjective aspect of humans making evaluations. But then there's always going to be debates over the value of that type of evaluation. Like the debate over Geno Smith getting a higher passing grade than Patrick mahomes when the raiders lost to the chiefs 31-0 earlier this season.Sibelius Hindemith wrote: ↑Thu Nov 20, 2025 4:25 pmIt would seem to me the problem with that would be that what is being analyzed (a group of points) is a much smaller data set than what is available when humans are watching video of players.Donn Beach wrote: ↑Thu Nov 20, 2025 3:27 pmIt's not being interpreted on a screen by humans it's being processed by computers. It's like Robo umps, the subjective aspect has been removed. It's pure data, then you need preogrammers to come up with programs to analyze it and pundits to explain itSibelius Hindemith wrote: ↑Thu Nov 20, 2025 12:39 pmI don't really understand the difference other than with the sensors you know the exact direction and speed of each player at a given moment. So then is that data used to create a visual representation of dots on a screen that still has to be interpreted by human observors or is that done by AI?