JESSEWENEEDTOCOOK
Twenty f*ckin years
- Oct 8, 2010
- 80,076
- 17,715
Not for all of King Midas' silver.Any chance ya’ll would trade Collins?
Not for all of King Midas' silver.
I wouldn't be so sure about Manning not being back next year. There isn't a single NFL ready QB prospect in this upcoming draft. A vet is going to be needed until they develop.
Thinking along the line of Bridgewater, Winston, etc. if they do move on from Manning.
Derrick Carr is another possibity.
Could buy low on him. I think he still has a lot left to offer. He is a good alternative to Eli as a stopgap while we develop the next QBYeah, I mentioned him a few posts above. With the Raiders in fire sale mode as well he could definitely be on the move.
Could buy low on him. I think he still has a lot left to offer. He is a good alternative to Eli as a stopgap while we develop the next QB
Obviously Eli will not be back next year. If you are the Giants what do you do regarding his replacement? Assuming Herbert is not coming out, do you draft Lock or Finley (or someone else) or sign a vet for a short term deal (Bridgewater) or try to trade for someone (Carr)?
As someone who has seen Carr quite a bit, I definitely don’t think he’d be a good fit in NY.
Not to mention, he just isn’t that good IMO.
"The Pats convert at 80% and we convert at 20% so let's use 50% because that's the average." You have to, at some level, take into account that the Giants are well below league average offensively. Using league average in that context is disingenuous. I didn't cherry pick anything, I used the last full season of data. You also don't need stats specific to 2 point conversions since you have all sorts of stats on things like 4th and short, which the Giants have also been poor at.
If you think the Giants had a 60% chance of converting a 2 point conversion then you haven't been watching the Giants. The bottom line is that the league average does not apply to individual teams. This is one of the larger fallacies that you see when coaches try to use analytics. And that is the issue I have with everyone justifying what Shurmur did. It doesn't make the decision wrong, just that using league averages is the wrong method.You used the last full season when we didn't have our best weapon in the redzone and had the second best record in the redzone miss the 3/4 of the season. We also had a different coaching staff. Someone did the math for Giants stats and they were 1 for 5 last year, 3 for 5 this year. Same exact sample size. The number of attempts is what matters not games played. You could have used the one from this year that had the same amount of 2 point conversion attempts AND has a roster that's much more relevant but you didn't because you want to win this argument.
There’s really no other way to say it: he plays like a little bitch. Guy looks perpetually terrified on every play. Both afraid of pressure and afraid of throwing into tight windows.I'm not sure what it is this season, but Derek Carr's 2017 passer rating under pressure dropped 60 points. It was literally lower than if you just spiked the ball on every single play.
If you think the Giants had a 60% chance of converting a 2 point conversion then you haven't been watching the Giants. The bottom line is that the league average does not apply to individual teams. This is one of the larger fallacies that you see when coaches try to use analytics. And that is the issue I have with everyone justifying what Shurmur did. It doesn't make the decision wrong, just that using league averages is the wrong method.
Yeah sorry that didn't come out right. . My argument really isn't about the specific number this season or last just that I think that the small sample bias really overwhelms the historical averages here.You moved the goalposts. First, it was 20%, then when I destroyed your argument you said the Giants don't have a 60% chance of converting a 2 point conversion. You said it's not 60%, despite there being 5 2 point conversions this season that brought the number to 60%. When it was 5 2 point conversions last season, you responded with glee that it was 20%. Why? It suits your argument. No, it likely wouldn't be 60% over a large enough sample size. But it doesn't have to be. It just has to be 32.6%. And yes league averages aren't a perfect metric. But neither is a grand total of 5 PATs a year ago. Give me the 1,000+ points of data over these joke sample sizes any day of the week. And especially over your "well the Giants look bad" bit of analysis. BTW, the Giants have sucked this year, but this was not a 3rd and 8 where they're brutal. The Giants have been very good in short yardage this season (3rd and 4th and short). So even going by your form of analysis you're wrong.
Yeah sorry that didn't come out right. . My argument really isn't about the specific number this season or last just that I think that the small sample bias really overwhelms the historical averages here.
You're right, I never took a statistics class. My degree is in mathematics and I'm an actuary but clearly my attempt to apply credibility theory here isn't up to your standards.Not to be condescending but have you ever taken a statistics class?
You're right, I never took a statistics class. My degree is in mathematics and I'm an actuary but clearly my attempt to apply credibility theory here isn't up to your standards.