Interesting deep dive stat about RB efficiency—only one worse than Jamaal in 2022 is a surprise

Any chart that has a majority of the league’s top runningbacks at the bottom of the chart is definitely suspect to me.

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Isn’t that often times the irony of analytics? The most fervent devotees fancy themselves as capable of seeing the game in a highly objective fashion and yet some of the metrics they lean on are based off of a foundation of subjectivity.

I fully understand what you are saying. But take a closer look at the names and notice how “bottom heavy” the top runningbacks are on the list.

I think this is a case where someone put together some faulty data. Calling it “analytics” doesn’t suddenly make faulty data correct. My gut instinct is that the model is built by someone who doesn’t know football and only tries to graph a mathematical interpretation of something that you actually need an understanding of football to have a grasp on. And if the model featured in this article is what was used, its only a couple of years old and was created by guys who are from another country and have no clue what American Football really is. Sometimes that can be a plus. In this case I think it created a faulty model.

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Including the lions wanted to sign Jamaal so they must not have seen him as leaving too much left on the field

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He will be, he was #1 in the NCAA for yac at Iowa State. Get him up to speed here and he’ll be all that.

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Analytics are such a much more natural fit in most aspects of baseball. The various methodologies for analyzing fielding though tend to suffer from the same issues that football and basketball do at times.

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Well, Monty fared better than JW according to this, but he’s also to the negative. You would’t think a guy who breaks a lot of tackles would be one of those (supposedly) underperforming.

Barkley too? Kamara? Sanders?

Where did this chart come from?

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I wouldn’t call it subjectivity…I mean they’re trying to model something that is more complex than what they capture in the model. I’d call it incomplete rather than subjective. Its not like judging who is the most handsome RB – that would be subjective. The things they are putting in the model - e.g. down and distance, formation, tracking data, all make sense and are objective measures. These objective measures are just not capable of capturing something useful right now. it will improve over time. By how much? That’s the key question.

Very much agree that its more useful in baseball.

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Jamall was a straight ahead battering ram. Which was great on goal line but not great for long runs obviously. I am curious to see how the run game progresses.

I am truly impressed with Holmes and crew. The stacking of solid draft picks and free agents has really started to change this team. KC is literally the only team on schedule that I think should beat the Lions everyone else I expect the Lions to be favored. Crazy

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Welcome to the board! The early odds are out in Vegas, and the Lions are favored in 12 of 17 games.

They have models that grade beauty on chosen criteria. Eye spacing, symmetry, etc are all included.

LOL. OK try favorite color. Or best tasting food.

Definitely agree on analytics being a more natural fit for baseball.

Yeah, this isn’t shocking, though it is presented as a teams statistic here, which should be more reliable

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But were they in 2022? Or, are you just basing that upon name recognition or performance in prior years?

Zeke Elliott [231 for 876] averaged 3.8 ypc behind the same OL as Tony Pollard who had 5.2 ypc [193 for 1007].

The Jonathan Taylor who ran for 1811 yards and 5.5 ypc in 2021 slumped to 861 yards and 4.5 ypc in 2022.

Alvin Kamara who averaged between 4.6 and 5.0 ypc between 2018-2020 slumped to 3.7 and 4.0 ypc in 2021 and 2022.

Leonard Fournette averaged 3.5 ypc [189 for 668]

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The names are a red flag, but only part of the story. Go read how they come up with the data. Its not based on football. Its just an exercise in GPS data at the time the ball was handed off.

Here is another year of the data (2020). Notice the line of expectation, which basically says that Derrick Henry is just getting the yards he was supposed to get. Nothing more. This was during his 2k yard season. When I tell you Derrick Henry is only getting the yards he is supposed to get and that’s it…does that pass the smell test for you?

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Derrick Henry? No, doesn’t make sense with him.

I will put this in a separate post. I love it when “analytics” crushes conventional wisdom and gets us outside of our comfort zone. But we also have to be able to see when we aren’t getting what we think we are getting out of the exercise. There is a difference between data and information. Data is just that…data. Information is what we do with the data. In this case the data itself is useful, but the way its being used and interpreted is flawed.

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I agree with what you are saying while also thinking this staff believes the Lions RB’s in 2022 left yards on the field.

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He had something like 20 total yards for those 17 TD’s.

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