It wasn't expressed as a measure of goals, it was an index rating (hence being in the 60s and 70s). I made it consistent so people could look at the two measures (averages, basically, that are opponent adjusted) to make it more apples to apples. |
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Great discussion on this board. I’ve learned a lot. Based on the discussion, it seems like Robinson is the class of Fairfax County and Yorktown is the class of Arlington County. And then Madison is on the next level below. Question, has Madison lost every game they’ve played against Robinson and Yorktown this season and last season? Based on the discussion, I’m sure Madison hasn’t won a single game against Robinson HS or Yorktown HS. Just checking if there are records available
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(#24 not #28) |
| Yes #24 |
Panties in a bunch… Some people have just calculated numbers to get a gage of how consistent team’s offenses and defenses are up to this point in the season. Everyone knows numbers don’t equal what a team is going to do on any given day vs an opponent. Some teams match up better with certain opponents, and anyone with a brain knows that. No one claimed these numbers are going to decide the state champ |
All of VA HS lacrosse teams - https://www.laxnumbers.com/ratings.php?y=2026&v=3545 2026 VA Class 6A Rankings - https://www.laxnumbers.com/ratings.php?y=2026&v=3546 2026 VA Class 5A Rankings - https://www.laxnumbers.com/ratings.php?y=2026&v=3547 This is the 6a schedule for today - https://www.laxnumbers.com/scoreboard/3546/2026-04-27 |
Pretty sure the OP knew where to find the scores already. They were just dealing with a front wedgie and couldn’t pick it |
Not the defense, the offense - why is the order different? What data caused teams to reorder if it wasn’t goals per game? |
Yes we hear you coach S, the warhawks are still in the mix, no need to call the refs over. |
Depends on which score you went with. Robo got a -3.14 for offense in one. Seemed the most accurate. |
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Look you made something that you thinks tells a story. It was a good exercise, don't get me wrong.
Others have pointed out that there are some major holes in your calculations and variables you didn't account for and cant really explain what "formula" you used to arrive at your conclusions. It one way of looking at things and many don't agree with your conclusions. Personally, its a start, but without accounting for many other variables, I don't think the numbers mean much. |
I don't know, I find it more interesting that some Robinson parent or player posting a couple of jersey numbers for the 50th time in the last month, and he's working with what he has. When people do these sorts of analyses for professions sports you can screen for only stats when the win probability is below X% or something to get better data and avoid things like the garbage time goals that someone mentioned previously, but VHSL boys lax doesn't keep stats that are anything close to that detailed. Or OP could probably figure out how to weigh recent games more than early season ones (which you also do with sports modeling), but I suspect he has a day job. All in all it's not perfect, but I like it as a data point to consider and appreciate the effort. |
| Stone Bridge 14 - Riverside 8.... you heard it here first! |
As I said, its something, but maybe not what the OP thinks it is. Based on the replies the OP had to questions, I suspect its not a day job but a class they need to attend. As you stated the numbers are very high level and don't tell a full story, so the old saying holds "garbage in, garbage out" Agree its something to consider, but too many other variables missing to make a valid assumption(s) on. |
People who refuse to accept this stuff will continue to make the same stupid points like "It doesn't account for playing a road game on an even numbered date that's a Tuesday" or "It doesn't know that the Junior LSM just broke up with his girlfriend" which are, to be polite. moronic comments. The first (quick) method I came up with was a rough weighted scoring index. The second was, as part of making defense and offense measures the same, on a goals-equivalent vs an average opponent version. The first method was done quickly, and was a looser weighted index. The second method was more rigorous on an "expected goals" basis, which is the more fully opponent adjusted method. If you are one of the few people who are legitimately asking questions - I used an opponent-adjusted goals model. For each game, I took the team’s goals scored and adjusted them based on how strong the opponent was relative to the average opponent in the sample, then averaged those adjusted values across games. That gives an estimate of how many goals the team would score per game against an average opponent, rather than just using raw goals per game, which can be distorted by schedule strength. For offense, in plain English: if you scored 10 goals on a defense stronger than average, that performance gets adjusted up if you scored 10 goals on a defense weaker than average, that performance gets adjusted down |