Ok, I've got myself an SSRS report with backing data set up, and I have been playing around with some numbers today, generating different line charts. My data at this point is: year, VsX, Vs2, League Goals, League Games, League Teams. From those six data points, I have been able to generate quite a lot of useful data. Here is maybe the best thing I've done so far:
I deleted the legend because SSRS legends suck, and it was just taking up space. So here is the Legend:
- the jagged blue line is the VsX benchmark / (League Goals/League Games). Basically, I divide the VsX benchmark by Goals/Game as a way of determining how big a "slice of the pie" the benchmark scorers were getting in each season.
- The tiered line with circles is the number of teams in the league
- the straight lines are something I just threw in there - basically they denote certain tier averages during different eras of NHL history.
------------------------------------------------------------------------
Have a look. I know the graphic is a bit hard to read because it's a lot of information crammed into a small space, but the results are fascinating. The NHL has
twice had a major tier jump, where benchmark scorers receive a good chunk more of the league scoring, and never give those gains back.
- the first time is the 1949-50 season. I dug into this a bit more, and I noticed that not only were the books being cooked in Chicago, but league assist/goals numbers were way up all across the board. I believe this was the season in which the NHL began counting second assists. The introduction of the second assist into a points calculation would give the illusion that the benchmark scorers were getting a bigger slice of the scoring pie, when in fact nothing had changed. That is, I believe what happens at the 1949-50 point in the graph.
- the second time is expansion. The benchmark / goals-per-game goes from about 13 to about 18, and it never goes back. This suggests that, as TDMM had suggested, O6 "star" scorers (who are the targets of our benchmark) got a smaller slice of the pie than post-expansion stars. Why should this be? I would guess it because the league was deeper in scorers, so the "stars" didn't stand out as much from the 3rd liners and such.
Anyway, fascinating results thus far. The VsX methodology does seem to handle the pre-expansion superstars quite well, but the above should show us that we have to be careful about applying it to anybody below that lofty standard. Some star scorers may have had considerably more chances than others, depending on team dynamics, and without very specific information, VsX data on second tier scorers is likely to be pretty polluted.