There's a report that the Leafs and Laurent Brossoit like each other. And instead of doing an article Report: Leafs and Brossoit like each other, I thought I'd just dive in and look at goalies. Not just Brossoit, because if I just tell you his numbers or his rankings in those numbers on a list of goalies, you really don't have the full picture of where on the distribution of results he falls.

Rulers

I don't use save % for NHL goalies because there is simply no reason to. NHL GMs likely do for the most part. I do use all-situation information for goalies because there's no gain in understanding by limiting it to five-on-five.

I'm going to use two methods today:

GSAX

GSAX stands for Goals Saved Above Expected, so you need to know that while Expected Goals are arrived at by weighting unblocked shots for various things like location and type, the end result is expressed as Goals that are Expected. Expected doesn't mean, "I expect you to get at least 95% on your test, young lady," rather it means, "An average student on an average day facing an average test maker would be expected to get 60%, so you had better top that, young lady."

Once you have the Expected Goals, you just compare them to the real ones and you have GSAX.

Delta Save % aka that really horrible acronym stat

The real name of this is xFSv% or Expected Fenwick Save %. So what all that means is that given the unblocked shots (Fenwick) converted to expected goals, what is the save % an average goalie would get. Delta just means difference, and it simply means the actual Fenwick Save % minus the Expected.

In both cases zero is right on expected, and positive is good.

Goalies

I used Evolving Hockey and the last five seasons combined, and I picked a filter out of the air to give me a decent sample – so no one-hit wonders – and I chose 1,500 FA which happily just got me Joe Woll in the list. There are actually only 98 goalies and by removing all the ones who are retired, out of the NHL, or on trial, I get 76.

Measuring

You're forgiven if you think those two "rulers" I chose are the same thing since they both use Expected Goals. They aren't, and let's look at the difference, which is workload, both in games played and in shots faced.

Clearly they are strongly related, but at the top end you see those four lonely souls out by themselves. That's big workload goalies, the ones who start more games than they should and whose teams let them face a lot of shots. From right to left, they are Connor Hellebuyck, Igor Shesterkin, Ilya Sorokin and Juuse Saros.

You can also see that if you just look at the either side of zero results in the red box that that's most of the dots. There's more results in this set better than the red box than worse because you don't usually last for 1,500 FA if you're hopeless. In an NHL season, you'll usually see that distribution a little differently.

Delta Save % or Fenwick over Expected is what I usually focus on now that the Leafs are not a terrible team for allowing shots. They don't need a goalie who can start 50 games and face 50 a night. This is the distribution of just the Delta measure:

Let's say you aren't interested in either side of zero. You just want a guy over zero. The first two bars that go up to 0.55 account for 30 of the 76 goalies. This should be mostly backups, but goalies are not distributed with the 32 best as starters and the next 32 at backups. Which is how a team can have a starter who is backup quality, or putting up backup results.

The top three bars account for 13 goalies. And both Joe Woll and Laurent Brossoit are in that group. Brossoit has 91 games and 3,446 FA, Woll has 36 and 1,569. These small runs of games spread over multiple season is the type of goalie results where you get believers, and people who want to believe but know they shouldn't. But it's very easy to understand why Brossoit wants a job where he gets to play more than the 23 games he got in this season.

One caveat on Brossoit as a free agent: He's a buy high investment since he was fifth in Delta Save % for goalies who played at least as much as Frederik Andersen. Andersen was first.

Do you want the whole list? Why not.

Player Season Team GP TOI FA FSv% xFSv% dFSv% GSAx
Igor Shesterkin 19-24 NYR 213 12427 8760.37 94.24 93.18 1.06 93.01
Ilya Sorokin 20-24 NYI 192 11257.11 8178.97 94.24 93.2 1.04 84.73
Anthony Stolarz 19-24 ANA/FLA 83 4355.77 3176.12 94.1 93.12 0.98 31.12
Connor Hellebuyck 19-24 WPG 293 17120.17 12454.5 94.01 93.04 0.97 121.26
Joseph Woll 21-24 TOR 36 2127.98 1568.94 93.73 92.8 0.93 14.6
Jeremy Swayman 20-24 BOS 132 7570.71 5099.32 94.25 93.38 0.87 44.3
Pyotr Kochetkov 21-24 CAR 69 3924 2301.25 93.35 92.61 0.74 16.97
Connor Ingram 21-24 NSH/ARI 80 4567.35 3570.74 93.41 92.73 0.68 24.11
Linus Ullmark 19-24 BUF/BOS 185 10755.55 7472.9 94.31 93.63 0.68 50.58
Joel Hofer 21-24 STL 38 2063 1511.82 93.66 92.98 0.67 10.17
Juuse Saros 19-24 NSH 271 15594.94 11366.66 93.88 93.22 0.66 74.54
Stuart Skinner 20-24 EDM 123 7058.13 4791.28 93.4 92.75 0.65 31.12
Laurent Brossoit 19-24 WPG/VGK 91 5000.49 3449.52 93.82 93.24 0.57 19.81
Semyon Varlamov 19-24 NYI 163 9353.12 6795.35 94.14 93.6 0.54 36.99
Charlie Lindgren 19-24 MTL/STL
WSH
92 5151.72 3724.34 93.57 93.07 0.5 18.74
Chris Driedger 19-24 FLA/SEA 64 3602.25 2426.01 94 93.52 0.47 11.44
Thatcher Demko 19-24 VAN 209 12210.68 8791.63 93.56 93.12 0.44 38.41
Andrei Vasilevskiy 19-24 T.B 269 16065.56 10874.4 93.68 93.24 0.44 47.83
Darcy Kuemper 19-24 ARI/COL
WSH
203 11649.08 8399.62 93.73 93.32 0.42 35.1
Jacob Markstrom 19-24 VAN/CGY 256 14997.59 10029.76 93.37 92.99 0.38 37.7
Frederik Andersen 19-24 TOR/CAR 178 10394.9 6811.24 93.65 93.27 0.37 25.47
Joey Daccord 20-24 OTT/SEA 68 3777.5 2739.15 93.73 93.42 0.32 8.64
Casey Desmith 20-24 PIT/VAN 113 6279.9 4351 93.13 92.83 0.3 12.93
Jake Oettinger 20-24 DAL 193 11041.19 7486.55 93.83 93.54 0.29 21.48
Alex Lyon 19-24 PHI/CAR
FLA/DET
70 3974.32 3036.59 93.33 93.05 0.27 8.34
Filip Gustavsson 20-24 OTT/MIN 111 6356.6 4668.81 93.75 93.48 0.27 12.68
Petr Mrazek 19-24 CAR/TOR
CHI
167 9351.85 6858.02 93.01 92.79 0.22 15.24
Antti Raanta 19-24 ARI/CAR 124 6844.76 4531.12 93.38 93.16 0.22 9.75
Logan Thompson 20-24 VGK 103 5922.82 4134.05 93.68 93.47 0.21 8.8
Anton Forsberg 19-24 CAR/OTT 115 6204.62 4619.23 93.1 92.9 0.2 9.09
Ukko-Pekka Luukkonen 20-24 BUF 100 5711.22 4194.78 93.22 93.02 0.2 8.54
Jordan Binnington 19-24 STL 247 14346.88 10380.3 93.29 93.09 0.2 20.76
Sam Montembeault 19-24 FLA/MTL 133 7405.7 5865.8 92.8 92.62 0.19 10.86
Adin Hill 19-24 ARI/S.J
VGK
119 6482.34 4657.97 93.84 93.66 0.18 8.58
Lukas Dostal 21-24 ANA 67 3586.99 3041.35 93.22 93.05 0.17 5.08
James Reimer 19-24 CAR/S.J
DET
163 9271.78 6845.88 93.22 93.05 0.16 11.1
Tristan Jarry 19-24 PIT 228 12913.69 9006.49 93.58 93.43 0.14 12.8
Alexandar Georgiev 19-24 NYR/COL 211 11950.04 8367.01 93.26 93.13 0.13 10.59
Jake Allen 19-24 STL/MTL
N.J
164 9426.62 6971.91 92.9 92.79 0.11 7.39
Sergei Bobrovsky 19-24 FLA 243 13950.56 9463.59 93.05 92.97 0.08 7.39
Pheonix Copley 21-24 WSH/L.A 47 2622.33 1698.43 92.93 92.86 0.07 1.23
Samuel Ersson 22-24 PHI 63 3454.39 2277.96 92.76 92.74 0.02 0.39
Jonathan Quick 19-24 L.A/VGK
NYR
178 10237.56 7007.04 93.03 93.03 0 -0.09
Eric Comrie 19-24 DET/N.J
WPG/BUF
52 2842.95 2083.5 92.49 92.51 -0.02 -0.47
Ilya Samsonov 19-24 WSH/TOR 171 9641.72 6516.6 93.23 93.25 -0.02 -1.58
Ville Husso 20-24 STL/DET 132 7491.25 5457.08 93.06 93.11 -0.05 -2.96
Cam Talbot 19-24 CGY/MIN
OTT/L.A
198 11323.6 7906.52 93.58 93.68 -0.1 -7.86
Alex Nedeljkovic 19-24 CAR/DET
PIT
139 7732.25 5616.87 93.15 93.26 -0.12 -6.54
Vitek Vanecek 20-24 WSH/N.J 163 9138.53 6141.39 93.28 93.41 -0.13 -7.73
David Rittich 19-24 CGY/TOR
NSH/WPG
L.A
129 7066.86 4978.97 93.38 93.51 -0.13 -6.24
Daniil Tarasov (G) 21-24 CBJ 45 2425.45 2004.72 93.19 93.34 -0.14 -2.86
Scott Wedgewood 20-24 N.J/ARI
DAL
106 5908.67 4333.55 93.25 93.41 -0.16 -6.94
Marc-Andre Fleury 19-24 VGK/CHI
MIN
227 13198.52 8963.23 93.26 93.43 -0.17 -15.11
John Gibson 19-24 ANA 241 13808.21 11018.69 92.87 93.05 -0.18 -19.51
Karel Vejmelka 21-24 ARI 140 7754.19 6351.36 92.8 93.02 -0.22 -13.8
Mackenzie Blackwood 19-24 N.J/S.J 173 9736.37 7363.9 93.02 93.24 -0.22 -16.22
Calvin Petersen 19-24 L.A/PHI 95 5490.11 3868.24 92.9 93.21 -0.31 -11.83
Philipp Grubauer 19-24 COL/SEA 206 11597.2 7603.5 93.08 93.39 -0.31 -23.55
Kevin Lankinen 20-24 CHI/NSH 112 6250.99 4515.9 92.96 93.3 -0.34 -15.39
Spencer Knight 20-23 FLA 57 3115.55 2081.34 92.8 93.17 -0.37 -7.69
Elvis Merzlikins 19-24 CBJ 190 10450.94 8062.03 93.08 93.47 -0.39 -31.05
Joonas Korpisalo 19-24 CBJ/L.A
OTT
186 10254.23 7421.84 92.69 93.21 -0.52 -38.75
Cayden Primeau 19-24 MTL 44 2303.63 1808.85 92.53 93.06 -0.53 -9.54
Martin Jones 19-24 S.J/PHI
SEA/TOR
180 10020.53 7040.28 92.61 93.16 -0.55 -38.58
Spencer Martin 21-24 VAN/CAR
CBJ
54 3060.75 2250.55 92.11 92.71 -0.6 -13.59
Aaron Dell 19-23 S.J/N.J
BUF
56 2918.06 2164.3 92.64 93.24 -0.6 -13.06
Jack Campbell 19-24 L.A/TOR
EDM
138 7939.94 5237.14 92.88 93.48 -0.6 -31.55
Matt Murray 19-23 PIT/OTT
TOR
111 6296.19 4330.95 92.66 93.27 -0.62 -26.71
Kaapo Kahkonen 19-24 MIN/S.J
N.J
139 7686.08 5964.91 92.82 93.47 -0.66 -39.08
Nico Daws 21-24 N.J 46 2415.58 1734.21 92.71 93.38 -0.67 -11.63
Alex Stalock 19-23 MIN/S.J
CHI
66 3698.8 2652.24 93.26 94.03 -0.77 -20.37
Dan Vladar 20-24 BOS/CGY 75 4155.64 2827.01 92.54 93.4 -0.86 -24.37
Michael Hutchinson 19-24 COL/TOR
CBJ/DET
43 2160.79 1652.83 92.21 93.12 -0.9 -14.93
Malcolm Subban 19-24 CHI/VGK
BUF/CBJ
42 2286 1619.15 92.13 93.07 -0.94 -15.17
Arvid Soderblom 21-24 CHI 50 2735.38 2186.98 91.83 92.78 -0.95 -20.84
Jonas Johansson 19-24 BUF/COL
FLA/T.B
61 3250.51 2210.56 91.78 93.19 -1.41 -31.25

Martin Jones teaches the same lesson of small samples of games, just in a very different way. And it also raises the question: did the Leafs get lucky or was his prior team so bad no one could look good there?

Jonas Johansson, the bottom left dot on the chart up above, the far left bar on the other one, is the lesson that disproves this "goalies are voodoo" nonsense that says just play anyone. No, don't. You can actually make the distinction between a warm body who should never get in a game and a player who is at least NHL-level. You just struggle to make more granular sorts or to know exactly what the results will be season over season.