"VsEst" - An attempt to account for league depth by estimating the highest non-outlier scorer

Black Gold Extractor

Registered User
May 4, 2010
3,068
4,853
I suspect that the biggest contention between people who do historical rankings of players is whether league depth can be accounted for, as well as how it should be done. (See this thread page for a glimpse of that.)

VsX assumes that the league can reliably generate a typical 2nd-place scorer (or typical highest non-outlier scorer to be more accurate) in every era and that this is a good benchmark to use to compare other players. Personally, I think that averaged over several seasons that this is a good assumption. However, can we test this?

RATIONALE

First, let's consider a completely fictional list of numbers:

50, 43, 39, 38, 37, 36, 35, 34, 33, 32, ...

The VsX benchmark for this list would be 43. This is a little bit of an outlier, but 39/43 = 0.907 >= 0.9, so it stays put. The VsX score for the outlier would be 116.

Now, let's say that our sample size is halved.

50, 39, 37, 35, 33, ...

The VsX benchmark for this list would be 39. The VsX score for the outlier would be 128. That's a pretty big difference. But wait, I'm kind of cheating, aren't I? Let's halve the sample size another way:

50, 43, 38, 36, 34, ...

The VsX benchmark for this list would be 38. This is because 38/43 = 0.884 < 0.9, so instead of the 2nd place scorer we use the 3rd. The VsX score for the outlier would be 132 (as opposed to 116 for the full sample).

Yeah, I'm still kind of cheating. What if the 2nd number was 42 instead of 43?

50, 42, 39, 38, 37, 36, 35, 34, 33, 32, ... benchmark 42, VsX 119
50, 39, 37, 35, 33, ... benchmark 39, VsX 128
50, 42, 38, 36, 34, ... benchmark 42, VsX 119

While the above are heavily constructed examples showing the worst possible outcomes, it does raise the possibility that the loss of "resolution" due to a smaller talent pool could benefit the outlier's VsX score. The rest of the field is basically the same with regard to the outlier, but the outlier can get some fairly different scores.

What if we wanted to find some value X, Y, Z for these lists, then:

X, a, 39, 38, 37, 36, 35, 34, 33, 32, ...
Y, b, 37, 35, 33, ...
Z, c, 38, 36, 34, ...

It's not too hard given the above lists. We would find that X = 41, Y = 41, and Z = 42. (If you're wondering, a = 40, b = 39, and c = 40.) As such, given the outlier of 50, the VsX = VsY = 50/41 = 122, and VsZ = 50/42 = 119. That's a much smaller variation, and it doesn't matter if the second number is 43, 42, or 49.

So that's basically it. We estimate the highest non-outlier using a decent sample size and then we compare the real numbers to the estimate, hence VsEst. (Bonus: it sounds like "VsX" if you say it really quickly, too!)

SPECIFICS

It's a bit tough to find a balance between a large sample size and equal opportunity for the sample being analyzed. Using the top 12 scorers basically guarantees a first-line-caliber player in the O6 era and provides an okay sample size. (If we're really pushing it, the top 12 is basically the starters for the 4-team era pre-consolidation, i.e. 1919-20 onward.)

I make two estimates for all years: one using a sample from 2-12*, and one using a sample from 5-12. Then I average the estimates to give a final VsEst benchmark.

The estimate for each sample is made using OpenOffice Calc/Microsoft Excel by adding the slope and intercept of each sample.

*Edited on March 31, 2018.

BENCHMARK COMPARISON

I'm going to compare the VsEst benchmark with the actual VsX benchmarks and what I'm going to call VsX*. VsX* is going to be VsX without the wartime fudges, Bathgate rule, and Orr rules applied. Additionally, the averaging for benchmarks is contracted by one on each end, e.g. the VsX* benchmark for 1988-89 is the average of 168, 155, 150, 115, 113, and 110, giving 135 instead of the original 139.

Yr.VsXVsX*VsEst
2016-17898992*
2015-16898986
2014-15868685
2013-14878785
2012-13575758
2011-12979790
2010-11999999
2009-10109109105
2008-09110110102
2007-08106106104
2006-07114114109
2005-06106106113*
2003-04878786
2002-03104104105
2001-02909084
2000-019696103*
1999-00949492
1998-99107107106
1997-98919195*
1996-97109109104
1995-96120120128*
1994-95707066
1993-94120120117
1992-93148148147
1991-92123123117
1990-91115115124*
1989-90129129124
1988-89139135145*
1987-88131131128
1986-87108108112*
1985-86141141139
1984-85135135131
1983-84121126128*
1982-83124124117
1981-82147147143
1980-81135135122
1979-80119118120!
1978-79116117127*
1977-78109108106
1976-77105105107*
1975-76119119118
1974-75121127130*
1973-7491101100*
1972-73104104101
1971-72109117112*
1970-7198116111*
1969-70868685
1968-69107107101
1967-68848483
1966-67707074*
1965-66787884*
1964-65838378
1963-64787885*
1962-63818178
1961-62848479
1960-61909085
1959-60808081
1958-59838484
1957-58717175*
1956-57777280*
1955-56717178*
1954-55747471
1953-54615959
1952-53616167*
1951-52696964
1950-51666668*
1949-50696967
1948-49545457*
1947-48606060
1946-47636366*
1945-46605254!
1944-45786165!
1943-44957781!
1942-43726666
1941-42545455
1940-41444447*
1939-40434344
1938-39444444
1937-38444445
1936-37454543
1935-36404041
1934-35474748
1933-34434244!
1932-33444444
1931-32505052*
1930-31434348*
1929-30626265*
1928-29292931*
1927-28353538*
1926-27323235*
1925-262931!
1924-253641!
1923-242324
1922-233432
1921-223337!
1920-213338!
1919-204043!
[THEAD] [/THEAD]
[TBODY] [/TBODY]
The "*" and "!" denote seasons where the VsEst is greater than the VsX or VsX* value respectively by at least 2 points. This becomes more frequent as we go further back in time.

BRIEF PLAYER COMPARISONS

This is the usual best 7-year VsX, unweighted.

Rk.PlayerVsXVsEstDebut
1Wayne Gretzky155.6155.3 1979-80
2Phil Esposito130.4124.5 1963-64
3Gordie Howe125.5123.4 1946-47
4Mario Lemieux119.8119.1 1984-85
5Jaromir Jagr114.2111.5 1990-91
6Bobby Orr114.8108.6 1966-67
7Stan Mikita107.8106.9 1958-59
8Sidney Crosby102.4104.5 2005-06
9Bobby Hull108.3104.2 1957-58
10Ted Lindsay104.4103.3 1944-45
10Maurice Richard102.4103.3 1942-43
12Marcel Dionne103.3103.1 1971-72
13 Guy Lafleur104.5102.8 1971-72
14Jean Beliveau105.7102.6 1950-51
15 Bill Cowley 97.0100.2 1934-35
16 Cy Denneny N/A 99.8 1914-15
17 Alex Ovechkin 98.4 99.7 2005-06
18 Andy Bathgate101.1 99.6 1952-53
19 Howie Morenz102.2 98.9 1923-24
20 Joe Sakic 97.7 97.1 1988-89
[TBODY] [/TBODY]
IS IT WORTH IT?

It's not massively different from VsX. And there are a couple of problems:

1) VsEst uses linear extrapolation on the tail end of a distribution. I'd probably be kicked out of stats class... if I had ever taken stats. (This may also be an issue.)

2) Sometimes, the reduction in the talent pool isn't random... which is a problem when it comes to statistical arguments. There's a possibility that the healthiest players were more fit to go war (and thus the higher-end players were more likely to be away). The WHA obviously tried to poach the biggest stars from the NHL.

Thoughts?

EDIT (March 31, 2018): I modified the benchmark to include the 2nd place scorer for the first sample. I also included the debut date to see the distribution of talent over the eras in the top 20.

1910's: 1 (Denneny)
1920's: 1 (Morenz)
1930's: 1 (Cowley)
1940's: 3 (Richard, Lindsay, Howe)
1950's: 4 (Beliveau, Bathgate, Hull, Mikita)
1960's: 2 (Esposito, Orr)
1970's: 3 (Dionne, Lafleur, Gretzky)
1980's: 2 (Lemieux, Sakic)
1990's: 1 (Jagr)
2000's: 2 (Crosby, Ovechkin)
 
Last edited:

Canadiens1958

Registered User
Nov 30, 2007
20,020
2,779
Lake Memphremagog, QC.
Interesting but still suffers from the same issues that VsX does.

GP and TOI/G is not considered.

Also league depth while mentioned is not really considered.

Illustrate by looking at your data for 1919-20(-,40,42) and 1939-40(43,43,44)

You have one unit, app 10 player/9 skater rosters in 1919-2o in a 4 team league with a 24 game schedule, generating 9.58 TG/G. Depth is not a factor. Starters play, subs mainly sit.

1939-40, you the basic 3 line, 2 d-man pairings with subs, playing a 48 game schedule in a 7 team league,generating 4.99 TG/G. 3 lines, 2 pairings enjoyed regular playing time.

Rather obvious disparity in depth and TOI/G. This has to be considered.

% of points generated by the first unitof each team. Straightforward in the 1919-20 season, trickier for 1939-40.

Progress but plenty of room to grow.
 

Theokritos

Global Moderator
Apr 6, 2010
12,541
4,938
A metric that takes conference/division GA imbalance in the age of unbalanced schedules into account would be the most interesting for me.
 

blogofmike

Registered User
Dec 16, 2010
2,182
929
I like it. Perhaps variations in the talent pool (WW2, as you mentioned) will skew it, but the rules are the same for every year. It's a more constant variable, if you will. I like consistently blended averages (but have always been too lazy to calculate them) for their simplicity.

You have one unit, app 10 player/9 skater rosters in 1919-2o in a 4 team league with a 24 game schedule, generating 9.58 TG/G. Depth is not a factor. Starters play, subs mainly sit.

1939-40, you the basic 3 line, 2 d-man pairings with subs, playing a 48 game schedule in a 7 team league,generating 4.99 TG/G. 3 lines, 2 pairings enjoyed regular playing time.

Rather obvious disparity in depth and TOI/G. This has to be considered.

% of points generated by the first unitof each team. Straightforward in the 1919-20 season, trickier for 1939-40.

Would it help to use a VsEst value based on a variable pool based on league size? i.e. using fewer players to create the average for a 6-team league vs a 31-team league.

A metric that takes conference/division GA imbalance in the age of unbalanced schedules into account would be the most interesting for me.

Sort of like FootballOutsiders DYAR for scoring? Might work. If the nhl.com game-by-game data is rich enough, we may be able to have ES/PP/SH breakdowns or even be able to adjust a player's Expected Points by which goaltender they faced that day (depending on sample sizes). Last one might be a stretch though
 

Canadiens1958

Registered User
Nov 30, 2007
20,020
2,779
Lake Memphremagog, QC.
I like it. Perhaps variations in the talent pool (WW2, as you mentioned) will skew it, but the rules are the same for every year. It's a more constant variable, if you will. I like consistently blended averages (but have always been too lazy to calculate them) for their simplicity.



Would it help to use a VsEst value based on a variable pool based on league size? i.e. using fewer players to create the average for a 6-team league vs a 31-team league.

What are you including under the rules umbrella? Given that the NHL underwent many rule changes including in season changes,pre 1967 expansion, the rules impact gets complicated.

The Vegas expansion illustrates the fragility of averages and what impacts averages.

What is a required is stratification that takes into account various aspects of deployment. This would be responsive to the depth issue.

Above we have a VsX representation over 7 seasons for leading players across eras. Fine, even interesting but it does not address depth.

Specifically how did Gretzky, Sakic other centers compare to the contemporary #1 centers on the other league teams over the same span of seasons. Repeating for #2 centers etc would go a long way towards understanding depth.
 

blogofmike

Registered User
Dec 16, 2010
2,182
929
What are you including under the rules umbrella? Given that the NHL underwent many rule changes including in season changes,pre 1967 expansion, the rules impact gets complicated.

The rules for the calculation, to clarify. You need to read 2 sentences to know how to calculate every year, which is simpler than VSX, which has quite a few rules and exceptions.
 

Black Gold Extractor

Registered User
May 4, 2010
3,068
4,853
A metric that takes conference/division GA imbalance in the age of unbalanced schedules into account would be the most interesting for me.

This is a good point. Even in the O6 era, when there are only 5 other teams, this could have some influence. For example, would the late-50's Canadiens benefit from the fact that they don't have to face the Canadiens? Of course, the fact that other teams have to face the Canadiens would also inflate their GA. I believe that I have an iterative sequence that can narrow it down:

[Opponent GA](0) = average of all opponent GA

[Team GF](0) = team's GF

[Team GF](n) = [Team GF](n-1) x [league average GA] / [Opponent GA](n-1)

[Opponent GA](n) = [Opponent GA](n-1) - ( [Team GF](n) - [league average GF] ) / [number of opponents]

For the O6 era, after one iteration, these are the average opponent GA faced by each team.

Yr.Avg.BOSCBHDETMTLNYRTOR
1966-67209204207200215217209
1965-66213206214216217205220
1964-65201196203203203195207
1963-64195195196193198185200
1962-63208193218213211202212
1961-62211195215214212214214
1960-61210207220212207202214
1959-60207195216213204200211
1958-59203199203206203200206
1957-58196196201197194198189
1956-57188190183194192180190
1955-56178182173183180166181
1954-55177175166181171174192
1953-54168163158172169166180
1952-53168170165165175160170
1951-52182187172187183170190
1950-51190190172193194191198
1949-50191181176191205196199
1948-49163160149161174167167
1947-48176179160180183170182
1946-47190193168189202195190
1945-46167170158173174166162
1944-45184176190182190175189
1943-44204185213209221188209
1942-43181179181196178167182
[TBODY] [/TBODY]
So for the O6 players that made my original list (but only including the O6 years), the unweighted 7-year VsEst:

PlayerVsEst (before adjusting for opponent GA)VsEst (after adjusting for opponent GA)Change
Gordie Howe125.7123.6 -1.7%
Ted Lindsay105.7104.7 -0.9%
Jean Beliveau103.7103.7
Maurice Richard105.2102.7 -2.4%
Andy Bathgate100.9102.4 +1.5%
Bobby Hull101.5 99.7 -1.8%
Stan Mikita101.1 99.6 -1.5%
[TBODY] [/TBODY]
Doing this for other seasons is going to be tougher, but the O6 era at least gives us a starting point. Bathgate is the only player who didn't play for a consistently "good" team, so he gets a boost of 1.5%. Richard sees the biggest drop due to a few of his seasons being played during WWII. Regardless, the difference after taking opponent GA isn't incredibly significant either.

So basically, the idea that players can benefit from playing for a good team has a grain of truth to it... but good players are what make a team good in the first place.

Specifics, for those who want them, follow:

Gordie Howe
SeasonPTSAdj. PTSAdj. VsEst
1946-47222234.4
1947-48444372.9
1948-49373767.3
1949-506868103.0
1950-518685125.0
1951-528683131.7
1952-539596147.7
1953-548179138.6
1954-55626084.5
1955-567977100.0
1956-578986108.9
1957-587777104.1
1958-59787793.9
1959-60737187.7
1960-61727184.5
1961-62777697.4
1962-638684109.1
1963-64737488.1
1964-65767598.7
1965-66757487.1
1966-67656894.4
[TBODY] [/TBODY]

Ted Lindsay
SeasonPTSAdj. PTSAdj. VsEst
1944-45232335.9
1945-46171629.6
1946-47424265.6
1947-48525186.4
1948-495455100.0
1949-507878118.2
1950-51595885.3
1951-526967106.3
1952-537172110.8
1953-546261107.0
1954-55383752.1
1955-56504862.3
1956-578582103.8
1957-58393851.4
1958-59585870.7
1959-60262530.9
1964-65282836.8
[TBODY] [/TBODY]

Jean Beliveau
SeasonPTSAdj. PTSAdj. VsEst
1950-51222.9
1952-53557.7
1953-54343459.6
1954-557375105.6
1955-568887113.0
1956-578482103.8
1957-58596081.1
1958-599191111.0
1959-60747592.6
1960-619091108.3
1961-62414152.6
1962-63676685.7
1963-64787791.7
1964-65434356.6
1965-66777689.4
1966-67383751.4
[TBODY] [/TBODY]

Maurice Richard
SeasonPTSAdj. PTSAdj. VsEst
1942-43111116.9
1943-44545061.7
1944-457371110.9
1945-46484685.2
1946-477167104.7
1947-48535186.4
1948-49383665.5
1949-50656192.4
1950-51666595.6
1951-52444469.8
1952-53615889.2
1953-546767117.5
1954-557476107.0
1955-56717090.9
1956-57626177.2
1957-58343445.9
1958-59383846.3
1959-60353543.2
[TBODY] [/TBODY]

Andy Bathgate
SeasonPTSAdj. PTSAdj. VsEst
1952-53111.5
1953-54447.0
1954-55404157.7
1955-56667192.2
1956-577780101.3
1957-587877104.1
1958-598889108.5
1959-60747693.8
1960-61778095.2
1961-628483106.4
1962-638183107.8
1963-64777589.3
1964-65454457.9
1965-66474654.1
1966-67313244.4
[TBODY] [/TBODY]

Bobby Hull
SeasonPTSAdj. PTSAdj. VsEst
1957-58474662.2
1958-59505061.0
1959-60817795.1
1960-61565464.3
1961-628482105.1
1962-63625976.6
1963-648786102.4
1964-65717092.1
1965-669797114.1
1966-678081112.5
[TBODY] [/TBODY]

Stan Mikita
SeasonPTSAdj. PTSAdj. VsEst
1958-59111.2
1959-60262530.9
1960-61535160.7
1961-62777596.2
1962-63767394.8
1963-648988104.8
1964-658786113.2
1965-66787891.8
1966-679798136.1
[TBODY] [/TBODY]

Specifically how did Gretzky, Sakic other centers compare to the contemporary #1 centers on the other league teams over the same span of seasons. Repeating for #2 centers etc would go a long way towards understanding depth.

I probably overstated my case with regards to league depth over every season. VsEst seems to be alright at compensating for shallower periods, but it absolutely cannot account for talent compression. I think that looking at even-strength production is probably the way to go to see how deep the league was. First-liners will generally see similar conditions, but other lines are basically in the air. For example, Malkin often saw first PP time despite being the #2 C on the Penguins, which allowed Malkin to significantly outproduce your typical 2nd line center. To use another example, Henri Richard didn't produce gaudy numbers many years due to lack of PP time, but he was also the EV point leader over a 10-season stretch (1956-57 to 1965-66 with 491 EV points, ahead of Bathgate's 487 and Howe's 485 as well as Beliveau's 444).
 
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Canadiens1958

Registered User
Nov 30, 2007
20,020
2,779
Lake Memphremagog, QC.
This is a good point. Even in the O6 era, when there are only 5 other teams, this could have some influence. For example, would the late-50's Canadiens benefit from the fact that they don't have to face the Canadiens? Of course, the fact that other teams have to face the Canadiens would also inflate their GA. I believe that I have an iterative sequence that can narrow it down:

[Opponent GA](0) = average of all opponent GA

[Team GF](0) = team's GF

[Team GF](n) = [Team GF](n-1) x [league average GA] / [Opponent GA](n-1)

[Opponent GA](n) = [Opponent GA](n-1) - ( [Team GF](n) - [league average GF] ) / [number of opponents]

For the O6 era, after one iteration, these are the average opponent GA faced by each team.

Yr.Avg.BOSCBHDETMTLNYRTOR
1966-67209204207200215217209
1965-66213206214216217205220
1964-65201196203203203195207
1963-64195195196193198185200
1962-63208193218213211202212
1961-62211195215214212214214
1960-61210207220212207202214
1959-60207195216213204200211
1958-59203199203206203200206
1957-58196196201197194198189
1956-57188190183194192180190
1955-56178182173183180166181
1954-55177175166181171174192
1953-54168163158172169166180
1952-53168170165165175160170
1951-52182187172187183170190
1950-51190190172193194191198
1949-50191181176191205196199
1948-49163160149161174167167
1947-48176179160180183170182
1946-47190193168189202195190
1945-46167170158173174166162
1944-45184176190182190175189
1943-44204185213209221188209
1942-43181179181196178167182
[TBODY] [/TBODY]
So for the O6 players that made my original list (but only including the O6 years), the unweighted 7-year VsEst:

PlayerVsEst (before adjusting for opponent GA)VsEst (after adjusting for opponent GA)Change
Gordie Howe125.7123.6 -1.7%
Ted Lindsay105.7104.7 -0.9%
Jean Beliveau103.7103.7
Maurice Richard105.2102.7 -2.4%
Andy Bathgate100.9102.4 +1.5%
Bobby Hull101.5 99.7 -1.8%
Stan Mikita101.1 99.6 -1.5%
[TBODY] [/TBODY]
Doing this for other seasons is going to be tougher, but the O6 era at least gives us a starting point. Bathgate is the only player who didn't play for a consistently "good" team, so he gets a boost of 1.5%. Richard sees the biggest drop due to a few of his seasons being played during WWII. Regardless, the difference after taking opponent GA isn't incredibly significant either.

So basically, the idea that players can benefit from playing for a good team has a grain of truth to it... but good players are what make a team good in the first place.

Specifics, for those who want them, follow:

Gordie Howe
SeasonPTSAdj. PTSAdj. VsEst
1946-47222234.4
1947-48444372.9
1948-49373767.3
1949-506868103.0
1950-518685125.0
1951-528683131.7
1952-539596147.7
1953-548179138.6
1954-55626084.5
1955-567977100.0
1956-578986108.9
1957-587777104.1
1958-59787793.9
1959-60737187.7
1960-61727184.5
1961-62777697.4
1962-638684109.1
1963-64737488.1
1964-65767598.7
1965-66757487.1
1966-67656894.4
[TBODY] [/TBODY]

Ted Lindsay
SeasonPTSAdj. PTSAdj. VsEst
1944-45232335.9
1945-46171629.6
1946-47424265.6
1947-48525186.4
1948-495455100.0
1949-507878118.2
1950-51595885.3
1951-526967106.3
1952-537172110.8
1953-546261107.0
1954-55383752.1
1955-56504862.3
1956-578582103.8
1957-58393851.4
1958-59585870.7
1959-60262530.9
1964-65282836.8
[TBODY] [/TBODY]

Jean Beliveau
SeasonPTSAdj. PTSAdj. VsEst
1950-51222.9
1952-53557.7
1953-54343459.6
1954-557375105.6
1955-568887113.0
1956-578482103.8
1957-58596081.1
1958-599191111.0
1959-60747592.6
1960-619091108.3
1961-62414152.6
1962-63676685.7
1963-64787791.7
1964-65434356.6
1965-66777689.4
1966-67383751.4
[TBODY] [/TBODY]

Maurice Richard
SeasonPTSAdj. PTSAdj. VsEst
1942-43111116.9
1943-44545061.7
1944-457371110.9
1945-46484685.2
1946-477167104.7
1947-48535186.4
1948-49383665.5
1949-50656192.4
1950-51666595.6
1951-52444469.8
1952-53615889.2
1953-546767117.5
1954-557476107.0
1955-56717090.9
1956-57626177.2
1957-58343445.9
1958-59383846.3
1959-60353543.2
[TBODY] [/TBODY]

Andy Bathgate
SeasonPTSAdj. PTSAdj. VsEst
1952-53111.5
1953-54447.0
1954-55404157.7
1955-56667192.2
1956-577780101.3
1957-587877104.1
1958-598889108.5
1959-60747693.8
1960-61778095.2
1961-628483106.4
1962-638183107.8
1963-64777589.3
1964-65454457.9
1965-66474654.1
1966-67313244.4
[TBODY] [/TBODY]

Bobby Hull
SeasonPTSAdj. PTSAdj. VsEst
1957-58474662.2
1958-59505061.0
1959-60817795.1
1960-61565464.3
1961-628482105.1
1962-63625976.6
1963-648786102.4
1964-65717092.1
1965-669797114.1
1966-678081112.5
[TBODY] [/TBODY]

Stan Mikita
SeasonPTSAdj. PTSAdj. VsEst
1958-59111.2
1959-60262530.9
1960-61535160.7
1961-62777596.2
1962-63767394.8
1963-648988104.8
1964-658786113.2
1965-66787891.8
1966-679798136.1
[TBODY] [/TBODY]



I probably overstated my case with regards to league depth over every season. VsEst seems to be alright at compensating for shallower periods, but it absolutely cannot account for talent compression. I think that looking at even-strength production is probably the way to go to see how deep the league was. First-liners will generally see similar conditions, but other lines are basically in the air. For example, Malkin often saw first PP time despite being the #2 C on the Penguins, which allowed Malkin to significantly outproduce your typical 2nd line center. To use another example, Henri Richard didn't produce gaudy numbers many years due to lack of PP time, but he was also the EV point leader over a 10-season stretch (1956-57 to 1965-66 with 491 EV points, ahead of Bathgate's 487 and Howe's 485 as well as Beliveau's 444).

Do not think so. Basic problem is that there is no consensus definition of depth and deployment is not taken into account.

The trend is to define lines in terms of offensive performance as opposed to deployment.

That Malkin gets #1 PP opportunities is a function of deployment. The faceoff now is always in the penalized team's defensive zone after a penalty.Not the situation previously.

Similarly the Beliveau and Henri Richard situation. Looking only at the center ES scoring does not convey the actual strengths of the respective lines. Richard played with Moore a much better LW than Beliveau ever had during the years considered, RW tended to wash.

Which line of the two was the foundation line - that generated the match-ups. Against Boston it did not matter but against Chicago -Hull,Detroit - Howe, New York - Bathgate, Toronto - Mahovlich it did. The Richard line was the foundation line.

Defining and applying deployment is rather straightforward thru 1928-29, basically a one line game.But as the rosters increased allowing for 2 to 4 lines and 2-3 pairings it gets trickier. ES is part of the answer but VsXand derivatives, should also contribute. Specfically you have a global VsX but it is also possible to generate VsX for ES and PP situations that would go along way towards explaining the global differences.

Also it is possible to benchmark offensive VsX over a length of time for each strata - first liners,second liners,etc.
 

daver

Registered User
Apr 4, 2003
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I think in general that anything besides first place needs context when comparing a 2nd, 3rd, 4th place etc... vs. the same for a player from a different era.

Should Crosby's Top 3 Art Ross placings hold higher value than those of a player from the 06 for example? Should Howe's Top 5 Art Ross finishes from the 06 era be given the same value as a Top 5 finish in a 30 team league?

I would hesitate to say that a 10th place from the current NHL = 5th place in the 06 but rather treat this dynamic as a tiebreaker for players with similar raw point and PPG finishes.
 

Black Gold Extractor

Registered User
May 4, 2010
3,068
4,853
The trend is to define lines in terms of offensive performance as opposed to deployment.

That Malkin gets #1 PP opportunities is a function of deployment. The faceoff now is always in the penalized team's defensive zone after a penalty.Not the situation previously.

Similarly the Beliveau and Henri Richard situation. Looking only at the center ES scoring does not convey the actual strengths of the respective lines. Richard played with Moore a much better LW than Beliveau ever had during the years considered, RW tended to wash.

Which line of the two was the foundation line - that generated the match-ups. Against Boston it did not matter but against Chicago -Hull,Detroit - Howe, New York - Bathgate, Toronto - Mahovlich it did. The Richard line was the foundation line.

There are a few posters who conflate league size with league depth. It's fair to say that if Richard was on another team in some hypothetical 12-team NHL at that time, he could have been a "typical" elite 1st-line center with #1 PP time. He led one ten-year stretch in EV scoring and was third in plus-minus for forwards from 1959-60 through 1965-66 (+116, behind only Mikita's +134 and Wharram's +117, and way ahead of Beliveau's +49). As you say, Richard was also tasked with facing off against the toughest lines.

It does appear that Richard saw more EV ice time, at least from 1959-60 onward, with 938 non-PP events in 634 games (1.48 per game). Beliveau saw 878 non-PP events in 622 games (1.41 per game). Richard probably averaged less than one extra shift per game.

I think that Beliveau is more accomplished than Richard, but that obscures their actual abilities due to deployment. That's the crux of the whole "depth" issue, I suspect.


Defining and applying deployment is rather straightforward thru 1928-29, basically a one line game.But as the rosters increased allowing for 2 to 4 lines and 2-3 pairings it gets trickier. ES is part of the answer but VsXand derivatives, should also contribute. Specfically you have a global VsX but it is also possible to generate VsX for ES and PP situations that would go along way towards explaining the global differences.

Also it is possible to benchmark offensive VsX over a length of time for each strata - first liners,second liners,etc.

I do think that breaking down VsX for EV and PP situations is a good idea, though that would require some more effort. I'll look into that later.

I think in general that anything besides first place needs context when comparing a 2nd, 3rd, 4th place etc... vs. the same for a player from a different era.

I would hesitate to say that a 10th place from the current NHL = 5th place in the 06 but rather treat this dynamic as a tiebreaker for players with similar raw point and PPG finishes.

This is too harsh of an adjustment. From my previous work, 5th in the O6 era is roughly the same as 7th now (or 7th in the O6 era is roughly the same as 10th now... both indicate a 1.4x factor).

VsEst does try to take this into account. For example, from 2013-14 through 2015-16, VsEst predicts that the highest non-outlier scorer should have been 85 points each season. The actual 2nd-place scorers were 87, 86, and 89 points respectively, which indicates that the league was deep enough to generate a few marginal outliers consistently. In fact, post-2005 lockout, only 2005-06 and 2016-17 failed to produce a non-outlier that couldn't match the VsEst estimate. (Although if you look at it strictly as an estimate of 2nd place, you could argue that Jagr's 123 blew away the 110 point estimate, and Crosby definitely could have passed the 92 point estimate had he missed fewer games.)

Just looking at the 7-year VsX going to VsEst, you'll find that Crosby has gone up 2.6% from 102.4 to 105.1, and Ovechkin has gone up 2.1% from 98.4 to 100.5. Going from VsX to VsEst, Crosby (1, 1, 2, 2, 3, 3, 3) manages to move up past Beliveau (1, 2, 2, 3, 3, 3, 3), Dionne (1, 2, 2, 2, 3, 4, 5), and Lafleur (1, 1, 1, 3, 3, 4, 36). Purely in terms of regular season scoring over their best 7 years, this makes sense.

To look at another example when the league was shallower, going from VsX to VsEst, Morenz is bumped down from 102.2 to 100.0. (His 1927-28 regular season is still by far the most dominant season prior to Howe, though, with a VsEst score of 134.2.)
 

Black Gold Extractor

Registered User
May 4, 2010
3,068
4,853
Here's the full list of VsEst benchmarks for goals, assists, and points from 1919-20 to 2016-17.

VsEst BenchmarksGoalsAssistsPoints
2016-17416192
2015-16435886
2014-15435885
2013-14416385
2012-13273958
2011-12436290
2010-11446299
2009-104969105
2008-094572102
2007-084964104
2006-074875109
2005-065672113
2003-04415686
2002-034763105
2001-02425484
2000-014869103
1999-00465692
1998-994560106
1997-98526795
1996-975266104
1995-965788128
1994-95334466
1993-945878117
1992-936792147
1991-925184117
1990-915283124
1989-906081124
1988-896090145
1987-885587128
1986-875869112
1985-865986139
1984-856481131
1983-845776128
1982-836271117
1981-826088143
1980-816079122
1979-805671120
1978-795374127
1977-785172106
1976-775271107
1975-765675118
1974-755378130
1973-745368100
1972-734667101
1971-725262112
1970-714564111
1969-70415585
1968-695058101
1967-68404983
1966-67314974
1965-66324884
1964-65314678
1963-64335285
1962-63385078
1961-62344979
1960-61375485
1959-60364781
1958-59415284
1957-58344575
1956-57374980
1955-56364778
1954-55364571
1953-54303659
1952-53314167
1951-52314064
1950-51324368
1949-50313767
1948-49273257
1947-48293460
1946-47313766
1945-46302954
1944-45314065
1943-44384681
1942-43304566
1941-42263455
1940-41242747
1939-40242644
1938-39233144
1937-38242645
1936-37232643
1935-36222541
1934-35233048
1933-34242444
1932-33262544
1931-32292952
1930-31302648
1929-30422865
1928-29191231
1927-28261438
1926-27221235
1925-26291131
1924-25281441
1923-2418724
1922-23231232
1921-22271537
1920-21281038
1919-20301243
[TBODY] [/TBODY]

Top 25 7-year VsEst goal-scorers (that I have found, anyway), with the benchmark normalized to 50:

Rk.VsX Rk.PlayerVsXVsEstBest 7 Top-10 FinishesDebut
11Bobby Hull70.269.0(1, 1, 1, 1, 1, 1, 1) 1957-58
22Maurice Richard67.265.1(1, 1, 1, 1, 1, 2, 2) 1942-43
33Gordie Howe65.563.7(1, 1, 1, 1, 1, 2, 2) 1946-47
44Phil Esposito62.161.5(1, 1, 1, 1, 1, 1, 2) 1963-64
55Alex Ovechkin59.260.1(1, 1, 1, 1, 1, 1, 2) 2005-06
66Wayne Gretzky59.058.9(1, 1, 1, 1, 1, 3, 4) 1979-80
77Brett Hull56.355.1(1, 1, 1, 2, 6, 8, 9) 1986-87
88Mario Lemieux54.554.9(1, 1, 1, 3, 3, 3, 7) 1984-85
9Babe Dye53.8(1, 1, 1, 2, 2, 2, 8) 1919-20
1011Mike Bossy52.953.2(1, 1, 2, 2, 2, 3, 3) 1977-78
1110Charlie Conacher54.351.2(1, 1, 1, 1, 1) 1929-30
1212Bill Cook52.751.0(1, 1, 1, 2, 5, 6, 6) 1926-27
1315Nels Stewart50.750.5(1, 1, 2, 3, 3, 4, 4) 1925-26
149Jean Beliveau54.450.3(1, 1, 2, 3, 3, 4, 5) 1950-51
1522Howie Morenz48.350.1(1, 2, 3, 3, 3, 4, 5) 1923-24
16Cy Denneny50.0(1, 2, 2, 3, 3, 4, 4) 1914-15
1717Steven Stamkos50.449.9(1, 1, 2, 2, 2, 7) 2008-09
1814Frank Mahovlich50.849.6(2, 2, 2, 2, 3, 4, 6) 1956-57
1919Stan Mikita50.049.4(2, 2, 2, 3, 4, 5, 6) 1958-59
2016Jaromir Jagr50.449.3(2, 2, 2, 2, 3, 4, 6) 1990-91
2118Pavel Bure50.349.1(1, 1, 1, 3, 5) 1991-92
2213Bernie Geoffrion51.248.4(1, 1, 3, 3, 5, 5, 8) 1950-51
2324Guy Lafleur48.248.1(1, 2, 2, 2, 3, 7) 1971-72
2424Marcel Dionne48.247.9(2, 2, 3, 4, 5, 5, 8) 1971-72
2521Ted Lindsay48.447.5(1, 2, 2, 3, 5, 6, 6) 1944-45
[TBODY] [/TBODY]
Distribution throughout the decades:

1910's: 2 (Denneny, Dye)
1920's: 4 (Morenz, Stewart, Cook, Conacher)
1930's: 0 (??? I probably missed someone...)
1940's: 3 (Richard, Lindsay, Howe)
1950's: 5 (Geoffrion, Beliveau, Mahovlich, Hull, Mikita)
1960's: 1 (Esposito)
1970's: 4 (Dionne, Lafleur, Bossy, Gretzky)
1980's: 2 (Lemieux, Hull)
1990's: 2 (Jagr, Bure)
2000's: 2 (Ovechkin, Stamkos)
 

Black Gold Extractor

Registered User
May 4, 2010
3,068
4,853
Top 25 7-year VsEst assist-talliers, with the benchmark normalized to 50:

Rk.PlayerVsEstBest 7 Top-10 FinishesDebut
1Wayne Gretzky82.0(1, 1, 1, 1, 1, 1, 1)1979-80
2Bobby Orr64.5(1, 1, 1, 1, 1, 2)1966-67
3Frank Boucher59.6(1, 1, 1, 2, 2, 2, 2)1921-22
4Phil Esposito56.2(1, 1, 1, 2, 2, 2, 2)1963-64
5Joe Thornton55.4(1, 1, 1, 2, 2, 2, 2)1997-98
6Stan Mikita54.9(1, 1, 1, 2, 2, 2, 4)1958-59
7Mario Lemieux54.6(1, 1, 1, 2, 2, 2, 3)1984-85
8Bill Cowley53.9(1, 1, 1, 2, 3, 5, 6)1934-35
9Elmer Lach53.6(1, 1, 1, 2, 4, 5, 5)1940-41
10Gordie Howe53.2(1, 1, 1, 2, 3, 3, 3)1946-47
11Adam Oates52.3(1, 1, 1, 2, 2, 3, 3)1985-86
12Andy Bathgate52.1(1, 1, 2, 2, 2, 2, 3)1952-53
13Ted Lindsay51.6(1, 1, 3, 3, 3, 4, 7)1944-45
14Henrik Sedin51.5(1, 1, 1, 4, 4, 5, 8)2000-01
15Jaromir Jagr51.3(1, 1, 1, 3, 3, 3, 5)1990-91
16Paul Coffey50.0(2, 2, 2, 3, 4, 4, 5)1980-81
17Sidney Crosby49.3(1, 2, 2, 2, 3, 7, 8)2005-06
18Bobby Clarke48.8(1, 1, 3, 4, 5, 6, 8)1969-70
18Marcel Dionne48.8(2, 2, 3, 3, 3, 4, 9)1971-72
18Nicklas Backstrom48.8(1, 2, 3, 3, 3, 3, 7)2007-08
21Jean Beliveau48.7(1, 1, 2, 2, 2, 3, 4)1950-51
22Bryan Trottier48.5(1, 1, 4, 5, 5, 5, 5)1975-76
23Ron Francis48.2(1, 1, 3, 4, 4, 5, 7)1981-82
24Doug Bentley48.0(1, 1, 4, 5, 5, 9, 9)1939-40
25Guy Lafleur47.7(1, 2, 2, 3, 3, 5)1971-72
[TBODY] [/TBODY]
Distribution throughout the decades based on their debut:

1910's: 0
1920's: 1 (Boucher)
1930's: 2 (Cowley, Bentley)
1940's: 3 (Lach, Lindsay, Howe)
1950's: 3 (Beliveau, Bathgate, Mikita)
1960's: 3 (Esposito, Orr, Clarke)
1970's: 4 (Dionne, Lafleur, Trottier, Gretzky)
1980's: 4 (Coffey, Francis, Lemieux, Oates)
1990's: 2 (Jagr, Thornton)
2000's: 3 (Sedin, Crosby, Backstrom)
 
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Canadiens1958

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Nov 30, 2007
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Lake Memphremagog, QC.
Top 25 7-year VsEst assist-talliers, with the benchmark normalized to 50:

Rk.PlayerVsEstBest 7 Top-10 FinishesDebut
1Wayne Gretzky82.0(1, 1, 1, 1, 1, 1, 1)1979-80
2Bobby Orr64.5(1, 1, 1, 1, 1, 2)1966-67
3Frank Boucher59.6(1, 1, 1, 2, 2, 2, 2)1921-22
4Phil Esposito56.2(1, 1, 1, 2, 2, 2, 2)1963-64
5Joe Thornton55.4(1, 1, 1, 2, 2, 2, 2)1997-98
6Stan Mikita54.9(1, 1, 1, 2, 2, 2, 4)1958-59
7Mario Lemieux54.6(1, 1, 1, 2, 2, 2, 3)1984-85
8Bill Cowley53.9(1, 1, 1, 2, 3, 5, 6)1934-35
9Elmer Lach53.6(1, 1, 1, 2, 4, 5, 5)1940-41
10Gordie Howe53.2(1, 1, 1, 2, 3, 3, 3)1946-47
11Adam Oates52.3(1, 1, 1, 2, 2, 3, 3)1985-86
12Andy Bathgate52.1(1, 1, 2, 2, 2, 2, 3)1952-53
13Ted Lindsay51.6(1, 1, 3, 3, 3, 4, 7)1944-45
14Henrik Sedin51.5(1, 1, 1, 4, 4, 5, 8)2000-01
15Jaromir Jagr51.3(1, 1, 1, 3, 3, 3, 5)1990-91
16Paul Coffey50.0(2, 2, 2, 3, 4, 4, 5)1980-81
17Sidney Crosby49.3(1, 2, 2, 2, 3, 7, 8)2005-06
18Bobby Clarke48.8(1, 1, 3, 4, 5, 6, 8)1969-70
18Marcel Dionne48.8(2, 2, 3, 3, 3, 4, 9)1971-72
18Nicklas Backstrom48.8(1, 2, 3, 3, 3, 3, 7)2007-08
21Jean Beliveau48.7(1, 1, 2, 2, 2, 3, 4)1950-51
22Bryan Trottier48.5(1, 1, 4, 5, 5, 5, 5)1975-76
23Ron Francis48.2(1, 1, 3, 4, 4, 5, 7)1981-82
24Doug Bentley48.0(1, 1, 4, 5, 5, 9, 9)1939-40
25Guy Lafleur47.7(1, 2, 2, 3, 3, 5)1971-72
[TBODY] [/TBODY]
Distribution throughout the decades based on their debut:

1910's: 0
1920's: 1 (Boucher)
1930's: 2 (Cowley, Bentley)
1940's: 3 (Lach, Lindsay, Howe)
1950's: 3 (Beliveau, Bathgate, Mikita)
1960's: 3 (Esposito, Orr, Clarke)
1970's: 4 (Dionne, Lafleur, Trottier, Gretzky)
1980's: 4 (Coffey, Francis, Lemieux, Oates)
1990's: 2 (Jagr, Thornton)
2000's: 3 (Sedin, Crosby, Backstrom)

Very nice. Especially revealing about the pre-70 game schedule players when assists were awarded in a very conservative fashion.
 

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