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Comparing Goalies' Save Percentage Relative to Average Save Percentage

Dan_ellis_medium 
Pierre-Marc Bouchard shows an absolute lack of respect for Dan Ellis

Editor's Note: The best part of hockey is when what we see with our eyes matches up with what we see in a spreadsheet. BCapp takes a look at the save percentage of goalies in each post-lockout season that played a significant number of games to see how far it varies from an average of the qualifying goalies. There are some interesting conclusions and observations at the end of the post.

Many try to come on to this site and say some sort of variation of:

I don't care about stats, they're just stupid numbers.  Watch the damn game.

While these people are wholeheartedly wrong and are always told accordingly I believe it brings up one important thing about stats: Stats should never be judged in a vacuum.  An area where this is of particular interest to sports is attempting to compare players who played in different seasons/eras.  In this post I have looked at goalies since the lock out and compared their save percentages to league-wide average save percentages for that year.  

Before I begin a few quick words about my methodology: I took all of the goaltenders who played 30% or more of the games in a season (32 GP for 2005-2010 and 24 GP for this year)*.  I added up their total saves and divided by their total shots against for the league wide average.  This is key to note because I did not use the league-wide save percentage of every goalie, just these specific ones.

*For this year I included James Reimer and Jonas Gustavvson for interests sake, even though they did not meet the GP requirement.

**Friendly piece of advice: My graphs are wide, so to see it make sure your screen view is set to wide.  You can choose that near the top right of the screen.

Data after the jump....

Star-divide

2005-2006 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Cristobal Huet

MTL

36

1085

77

1008

0.9290

0.9045

0.0245

24.5114

2

Dominik Hasek

OTT

43

1202

90

1112

0.9251

0.9045

0.0206

20.6039

3

Miikka Kiprusoff

CGY

74

1951

151

1800

0.9226

0.9045

0.0181

18.0829

4

Henrik Lundqvist

NYR

53

1485

116

1369

0.9219

0.9045

0.0174

17.3647

5

Tomas Vokoun

NSH

61

1984

160

1824

0.9194

0.9045

0.0148

14.8340

6

Manny Fernandez

MIN

58

1612

130

1482

0.9194

0.9045

0.0148

14.8340

7

Tim Thomas

BOS

38

1213

101

1112

0.9167

0.9045

0.0122

12.2145

8

Manny Legace

DET

51

1244

106

1138

0.9148

0.9045

0.0103

10.2702

9

Roberto Luongo

FLA

75

2488

213

2275

0.9144

0.9045

0.0099

9.8682

10

Ryan Miller

BUF

48

1440

124

1316

0.9139

0.9045

0.0094

9.3680

11

Jean-Sebastien Giguere

ANA

60

1692

150

1542

0.9113

0.9045

0.0068

6.8267

12

Martin Brodeur

NJD

73

2105

187

1918

0.9112

0.9045

0.0066

6.6430

13

Pascal Leclaire

CBJ

33

1084

97

987

0.9105

0.9045

0.0060

5.9958

14

Curtis Sanford

STL

34

885

81

804

0.9085

0.9045

0.0040

3.9537

15

Dwayne Roloson

MIN, EDM

43

1256

115

1141

0.9084

0.9045

0.0039

3.9186

16

Martin Gerber

CAR

60

1719

162

1557

0.9058

0.9045

0.0012

1.2383

17

Kari Lehtonen

ATL

38

1123

106

1017

0.9056

0.9045

0.0011

1.0891

18

Martin Biron

BUF

35

980

93

887

0.9051

0.9045

0.0006

0.5812

19

Alex Auld

VAN

67

1938

189

1749

0.9025

0.9045

-0.0020

-2.0441

20

Ray Emery

OTT

39

1045

102

943

0.9024

0.9045

-0.0021

-2.1285

21

Curtis Joseph

PHX

60

1690

166

1524

0.9018

0.9045

-0.0027

-2.7457

22

Vesa Toskala

SJS

37

878

87

791

0.9009

0.9045

-0.0036

-3.6097

23

Peter Budaj

COL

34

864

86

778

0.9005

0.9045

-0.0041

-4.0579

24

Rick DiPietro

NYI

63

1797

180

1617

0.8998

0.9045

-0.0047

-4.6878

25

Marc Denis

CBJ

49

1505

151

1354

0.8997

0.9045

-0.0049

-4.8531

26

David Aebischer

COL, MTL

50

1473

149

1324

0.8988

0.9045

-0.0057

-5.6750

27

Marty Turco

DAL

68

1624

166

1458

0.8978

0.9045

-0.0067

-6.7376

28

Marc-Andre Fleury

PIT

50

1485

152

1333

0.8976

0.9045

-0.0069

-6.8777

29

Chris Osgood

DET

32

828

85

743

0.8973

0.9045

-0.0072

-7.1779

30

Robert Esche

PHI

40

1099

113

986

0.8972

0.9045

-0.0073

-7.3416

31

Olie Kolzig

WSH

59

1987

206

1781

0.8963

0.9045

-0.0082

-8.1947

32

Sean Burke

TBL

35

764

80

684

0.8953

0.9045

-0.0092

-9.2329

33

Kevin Weekes

NYR

32

867

91

776

0.8950

0.9045

-0.0095

-9.4805

34

Antero Niittymaki

PHI

46

1266

133

1133

0.8949

0.9045

-0.0096

-9.5761

35

Mathieu Garon

LAK

63

1738

185

1553

0.8936

0.9045

-0.0110

-10.9650

36

Ed Belfour

TOR

49

1476

159

1317

0.8923

0.9045

-0.0122

-12.2444

37

John Grahame

TBL

57

1450

161

1289

0.8890

0.9045

-0.0156

-15.5553

38

Nikolai Khabibulin

CHI

50

1379

157

1222

0.8861

0.9045

-0.0184

-18.3715

39

Evgeni Nabokov

SJS

45

1160

133

1027

0.8853

0.9045

-0.0192

-19.1760

40

Jose Theodore

MTL, COL

43

1158

137

1021

0.8817

0.9045

-0.0228

-22.8283

41

Jussi Markkanen

EDM

37

873

105

768

0.8797

0.9045

-0.0248

-24.7958

2006-2007 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Niklas Backstrom

MIN

41

1028

73

955

0.9290

0.9090

0.0200

20.0126

2

Chris Mason

NSH

40

1244

93

1151

0.9252

0.9090

0.0163

16.2654

3

Martin Brodeur

NJD

78

2182

171

2011

0.9216

0.9090

0.0127

12.6558

4

Roberto Luongo

VAN

76

2169

171

1998

0.9212

0.9090

0.0122

12.1861

5

Tomas Vokoun

NSH

44

1299

104

1195

0.9199

0.9090

0.0110

10.9627

6

Rick DiPietro

NYI

62

1917

156

1761

0.9186

0.9090

0.0096

9.6471

7

Ray Emery

OTT

58

1691

138

1553

0.9184

0.9090

0.0094

9.4158

8

Jean-Sebastien Giguere

ANA

56

1490

122

1368

0.9181

0.9090

0.0091

9.1451

9

Miikka Kiprusoff

CGY

74

2190

181

2009

0.9174

0.9090

0.0084

8.3759

10

Henrik Lundqvist

NYR

70

1927

160

1767

0.9170

0.9090

0.0080

7.9937

11

Cristobal Huet

MTL

42

1280

107

1173

0.9164

0.9090

0.0074

7.4305

12

Evgeni Nabokov

SJS

50

1227

106

1121

0.9136

0.9090

0.0046

4.6347

13

Dominik Hasek

DET

56

1309

114

1195

0.9129

0.9090

0.0039

3.9349

14

Kari Lehtonen

ATL

68

2075

183

1892

0.9118

0.9090

0.0028

2.8315

15

Manny Fernandez

MIN

44

1158

103

1055

0.9111

0.9090

0.0021

2.0778

16

Ryan Miller

BUF

63

1886

168

1718

0.9109

0.9090

0.0019

1.9469

17

Marty Turco

DAL

67

1564

140

1424

0.9105

0.9090

0.0015

1.5102

18

Olie Kolzig

WSH

54

1771

159

1612

0.9102

0.9090

0.0012

1.2445

19

Dwayne Roloson

EDM

68

1969

180

1789

0.9086

0.9090

-0.0004

-0.3927

20

Vesa Toskala

SJS

38

915

84

831

0.9082

0.9090

-0.0008

-0.7790

21

Manny Legace

STL

45

1177

109

1068

0.9074

0.9090

-0.0016

-1.5841

22

Mathieu Garon

LAK

32

849

79

770

0.9069

0.9090

-0.0020

-2.0264

23

Marc-Andre Fleury

PIT

67

1954

184

1770

0.9058

0.9090

-0.0031

-3.1415

24

Tim Thomas

BOS

66

1985

189

1796

0.9048

0.9090

-0.0042

-4.1898

25

Peter Budaj

COL

57

1499

143

1356

0.9046

0.9090

-0.0044

-4.3727

26

Fredrik Norrena

CBJ

55

1420

137

1283

0.9035

0.9090

-0.0055

-5.4546

27

Martin Biron

BUF, PHI

35

1042

101

941

0.9031

0.9090

-0.0059

-5.9047

28

Nikolai Khabibulin

CHI

60

1668

163

1505

0.9023

0.9090

-0.0067

-6.6976

29

Ed Belfour

FLA

58

1550

152

1398

0.9019

0.9090

-0.0070

-7.0402

30

David Aebischer

MTL

32

929

93

836

0.8999

0.9090

-0.0091

-9.0834

31

Cam Ward

CAR

60

1625

167

1458

0.8972

0.9090

-0.0117

-11.7450

32

Antero Niittymaki

PHI

52

1567

166

1401

0.8941

0.9090

-0.0149

-14.9106

33

Andrew Raycroft

TOR

72

1931

205

1726

0.8938

0.9090

-0.0151

-15.1383

34

Johan Holmqvist

TBL

48

1134

121

1013

0.8933

0.9090

-0.0157

-15.6777

35

Curtis Joseph

PHX

55

1481

159

1322

0.8926

0.9090

-0.0163

-16.3356

36

Jose Theodore

COL

33

870

95

775

0.8908

0.9090

-0.0182

-18.1711

37

Marc Denis

TBL

44

1068

125

943

0.8830

0.9090

-0.0260

-26.0169

2007-2008 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Dan Ellis

NSH

44

1147

87

1060

0.9241

0.9108

0.0134

13.3578

2

Ty Conklin

PIT

33

1013

78

935

0.9230

0.9108

0.0122

12.2088

3

Jean-Sebastien Giguere

ANA

58

1508

117

1391

0.9224

0.9108

0.0116

11.6216

4

Tim Thomas

BOS

57

1731

136

1595

0.9214

0.9108

0.0106

10.6405

5

Marc-Andre Fleury

PIT

35

909

72

837

0.9208

0.9108

0.0100

9.9999

6

Cristobal Huet

MTL, WSH

52

1479

118

1361

0.9202

0.9108

0.0094

9.4242

7

Carey Price

MTL

41

1282

103

1179

0.9197

0.9108

0.0089

8.8646

8

Ilya Bryzgalov

ANA, PHX

64

1829

147

1682

0.9196

0.9108

0.0088

8.8360

9

Niklas Backstrom

MIN

58

1629

131

1498

0.9196

0.9108

0.0088

8.7904

10

Martin Brodeur

NJD

77

2089

168

1921

0.9196

0.9108

0.0088

8.7866

11

Pascal Leclaire

CBJ

54

1379

112

1267

0.9188

0.9108

0.0080

7.9895

12

Tomas Vokoun

FLA

69

2213

180

2033

0.9187

0.9108

0.0079

7.8703

13

Martin Biron

PHI

62

1865

153

1712

0.9180

0.9108

0.0072

7.1703

14

Roberto Luongo

VAN

73

2029

168

1861

0.9172

0.9108

0.0064

6.4084

15

Kari Lehtonen

ATL

48

1560

131

1429

0.9160

0.9108

0.0052

5.2335

16

Chris Osgood

DET

43

976

84

892

0.9139

0.9108

0.0031

3.1422

17

Mathieu Garon

EDM

47

1359

118

1241

0.9132

0.9108

0.0024

2.3793

18

Henrik Lundqvist

NYR

72

1823

160

1663

0.9122

0.9108

0.0014

1.4404

19

Manny Legace

STL

66

1648

147

1501

0.9108

0.9108

0.0000

0.0088

20

Martin Gerber

OTT

57

1619

145

1474

0.9104

0.9108

-0.0004

-0.3536

21

Jose Theodore

COL

53

1367

123

1244

0.9100

0.9108

-0.0008

-0.7702

22

Jason LaBarbera

LAK

45

1341

121

1220

0.9098

0.9108

-0.0010

-1.0234

23

Evgeni Nabokov

SJS

77

1802

163

1639

0.9095

0.9108

-0.0012

-1.2472

24

Marty Turco

DAL

62

1543

140

1403

0.9093

0.9108

-0.0015

-1.5245

25

Nikolai Khabibulin

CHI

50

1389

127

1262

0.9086

0.9108

-0.0022

-2.2249

26

Alex Auld

PHX, BOS

32

827

77

750

0.9069

0.9108

-0.0039

-3.8998

27

Ryan Miller

BUF

76

2104

197

1907

0.9064

0.9108

-0.0044

-4.4234

28

Miikka Kiprusoff

CGY

76

2096

197

1899

0.9060

0.9108

-0.0048

-4.7807

29

Vesa Toskala

TOR

66

1824

175

1649

0.9041

0.9108

-0.0067

-6.7352

30

Cam Ward

CAR

69

1870

180

1690

0.9037

0.9108

-0.0070

-7.0489

31

Peter Budaj

COL

35

849

82

767

0.9034

0.9108

-0.0074

-7.3764

32

Rick DiPietro

NYI

63

1779

174

1605

0.9022

0.9108

-0.0086

-8.5999

33

Dominik Hasek

DET

41

855

84

771

0.9018

0.9108

-0.0090

-9.0378

34

Dwayne Roloson

EDM

43

1204

119

1085

0.9012

0.9108

-0.0096

-9.6294

35

Mike Smith

DAL, TBL

34

848

84

764

0.9009

0.9108

-0.0098

-9.8488

36

Chris Mason

NSH

51

1278

130

1148

0.8983

0.9108

-0.0125

-12.5136

37

Patrick Lalime

CHI

32

835

86

749

0.8970

0.9108

-0.0138

-13.7862

38

Fredrik Norrena

CBJ

37

856

89

767

0.8960

0.9108

-0.0148

-14.7642

39

Olie Kolzig

WSH

54

1423

153

1270

0.8925

0.9108

-0.0183

-18.3115

40

Johan Hedberg

ATL

36

1026

111

915

0.8918

0.9108

-0.0190

-18.9793

41

Johan Holmqvist

TBL, DAL

47

1164

129

1035

0.8892

0.9108

-0.0216

-21.6169

2008-2009 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Tim Thomas

BOS

54

1694

114

1580

0.9327

0.9109

0.0218

21.8238

2

Tomas Vokoun

FLA

59

1855

138

1717

0.9256

0.9109

0.0147

14.7266

3

Niklas Backstrom

MIN

71

2059

159

1900

0.9228

0.9109

0.0119

11.8982

4

Roberto Luongo

VAN

54

1542

124

1418

0.9196

0.9109

0.0087

8.7051

5

Nikolai Khabibulin

CHI

42

1192

96

1096

0.9195

0.9109

0.0086

8.5832

6

Jonas Hiller

ANA

46

1217

99

1118

0.9187

0.9109

0.0078

7.7725

7

Ryan Miller

BUF

59

1773

145

1628

0.9182

0.9109

0.0073

7.3378

8

Scott Clemmensen

NJD

40

1138

94

1044

0.9174

0.9109

0.0065

6.5191

9

Pekka Rinne

NSH

52

1435

119

1316

0.9171

0.9109

0.0062

6.1933

10

Chris Mason

STL

57

1544

129

1415

0.9165

0.9109

0.0056

5.5709

11

Henrik Lundqvist

NYR

70

2007

168

1839

0.9163

0.9109

0.0054

5.4131

12

Cam Ward

CAR

68

1901

160

1741

0.9158

0.9109

0.0050

4.9539

13

Mike Smith

TBL

41

1282

108

1174

0.9158

0.9109

0.0049

4.8768

14

Steve Mason

CBJ

61

1658

140

1518

0.9156

0.9109

0.0047

4.6810

15

Martin Biron

PHI

55

1718

146

1572

0.9150

0.9109

0.0041

4.1376

16

Dwayne Roloson

EDM

63

1953

166

1787

0.9150

0.9109

0.0041

4.1227

17

Jaroslav Halak

MTL

34

1077

92

985

0.9146

0.9109

0.0037

3.6977

18

Jonathan Quick

LAK

44

1200

103

1097

0.9142

0.9109

0.0033

3.2868

19

Marc-Andre Fleury

PIT

62

1850

162

1688

0.9124

0.9109

0.0016

1.5526

20

Antero Niittymaki

PHI

32

947

83

864

0.9124

0.9109

0.0015

1.4749

21

Alex Auld

OTT

43

1141

101

1040

0.9115

0.9109

0.0006

0.6013

22

Kari Lehtonen

ATL

46

1498

134

1364

0.9105

0.9109

-0.0003

-0.3325

23

Evgeni Nabokov

SJS

62

1663

150

1513

0.9098

0.9109

-0.0011

-1.0783

24

Ty Conklin

DET

40

1033

94

939

0.9090

0.9109

-0.0019

-1.8770

25

Cristobal Huet

CHI

41

1087

99

988

0.9089

0.9109

-0.0020

-1.9562

26

Ilya Bryzgalov

PHX

65

1994

187

1807

0.9062

0.9109

-0.0047

-4.6612

27

Carey Price

MTL

52

1513

143

1370

0.9055

0.9109

-0.0054

-5.3941

28

Miikka Kiprusoff

CGY

76

2155

209

1946

0.9030

0.9109

-0.0079

-7.8636

29

Joey MacDonald

NYI

49

1584

157

1427

0.9009

0.9109

-0.0100

-9.9960

30

Jean-Sebastien Giguere

ANA

46

1274

127

1147

0.9003

0.9109

-0.0106

-10.5659

31

Dan Ellis

NSH

35

963

96

867

0.9003

0.9109

-0.0106

-10.5684

32

Jose Theodore

WSH

57

1572

157

1415

0.9001

0.9109

-0.0108

-10.7527

33

Peter Budaj

COL

56

1531

154

1377

0.8994

0.9109

-0.0115

-11.4677

34

Marty Turco

DAL

74

1993

203

1790

0.8981

0.9109

-0.0127

-12.7364

35

Vesa Toskala

TOR

53

1518

166

1352

0.8906

0.9109

-0.0202

-20.2343

36

Chris Osgood

DET

46

1208

137

1071

0.8866

0.9109

-0.0243

-24.2905

37

Johan Hedberg

ATL

33

875

100

775

0.8857

0.9109

-0.0252

-25.1656

2009-2010 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Tuukka Rask

45

BOS

1221

84

1137

0.9312

0.9124

0.0188

18.8088

2

Ryan Miller

69

BUF

2098

150

1948

0.9285

0.9124

0.0161

16.1082

3

Tomas Vokoun

63

FLA

2081

157

1924

0.9246

0.9124

0.0122

12.1603

4

Jaroslav Halak

45

MTL

1386

105

1281

0.9242

0.9124

0.0118

11.8473

5

Jimmy Howard

63

DET

1849

141

1708

0.9237

0.9124

0.0113

11.3474

6

Evgeni Nabokov

71

SJS

2168

170

1998

0.9216

0.9124

0.0092

9.1916

7

Henrik Lundqvist

73

NYR

2109

167

1942

0.9208

0.9124

0.0084

8.4204

8

Ilya Bryzgalov

69

PHX

1961

156

1805

0.9204

0.9124

0.0081

8.0536

9

Miikka Kiprusoff

73

CGY

2035

163

1872

0.9199

0.9124

0.0075

7.5066

10

Jonas Hiller

59

ANA

1860

152

1708

0.9183

0.9124

0.0059

5.8844

11

Craig Anderson

71

COL

2233

186

2047

0.9167

0.9124

0.0043

4.3088

12

Martin Brodeur

77

NJD

2004

168

1836

0.9162

0.9124

0.0038

3.7725

13

Cam Ward

47

CAR

1409

119

1290

0.9155

0.9124

0.0031

3.1478

14

Johan Hedberg

47

ATL

1355

115

1240

0.9151

0.9124

0.0027

2.7340

15

Tim Thomas

43

BOS

1221

104

1117

0.9148

0.9124

0.0024

2.4288

16

Chris Mason

61

STL

1699

148

1551

0.9129

0.9124

0.0005

0.4948

17

Roberto Luongo

68

VAN

1915

167

1748

0.9128

0.9124

0.0004

0.3986

18

Marty Turco

53

DAL

1605

140

1465

0.9128

0.9124

0.0004

0.3774

19

Antti Niemi

39

CHI

936

82

854

0.9124

0.9124

0.0000

-0.0020

20

Carey Price

41

MTL

1244

109

1135

0.9124

0.9124

0.0000

-0.0157

21

Pekka Rinne

58

NSH

1541

137

1404

0.9111

0.9124

-0.0013

-1.2985

22

Jose Theodore

47

WSH

1352

121

1231

0.9105

0.9124

-0.0019

-1.8922

23

Brian Elliott

55

OTT

1424

130

1294

0.9087

0.9124

-0.0037

-3.6873

24

Antero Niittymaki

49

TBL

1388

127

1261

0.9085

0.9124

-0.0039

-3.8937

25

Jean-Sebastien Giguere

35

ANA, TOR

1031

96

935

0.9069

0.9124

-0.0055

-5.5086

26

Dwayne Roloson

50

NYI

1555

145

1410

0.9068

0.9124

-0.0056

-5.6427

27

Jonathan Quick

72

LAK

1927

180

1747

0.9066

0.9124

-0.0058

-5.8046

28

Ondrej Pavelec

42

ATL

1353

127

1226

0.9061

0.9124

-0.0063

-6.2606

29

Michael Leighton

34

CAR, PHI

899

85

814

0.9055

0.9124

-0.0069

-6.9447

30

Marc-Andre Fleury

67

PIT

1772

168

1604

0.9052

0.9124

-0.0072

-7.2033

31

Mathieu Garon

35

CBJ

858

83

775

0.9033

0.9124

-0.0091

-9.1318

32

Niklas Backstrom

60

MIN

1632

158

1474

0.9032

0.9124

-0.0092

-9.2089

33

Jonas Gustavsson

42

TOR

1146

112

1034

0.9023

0.9124

-0.0101

-10.1264

34

Steve Mason

58

CBJ

1653

163

1490

0.9014

0.9124

-0.0110

-11.0037

35

Jeff Deslauriers

48

EDM

1529

152

1377

0.9006

0.9124

-0.0118

-11.8065

36

Mike Smith

42

TBL

1165

117

1048

0.8996

0.9124

-0.0128

-12.8243

37

Brian Boucher

33

PHI

796

80

716

0.8995

0.9124

-0.0129

-12.8977

38

Cristobal Huet

48

CHI

1083

114

969

0.8947

0.9124

-0.0177

-17.6583

39

Pascal Leclaire

34

OTT

822

93

729

0.8869

0.9124

-0.0255

-25.5338

40

Vesa Toskala

32

TOR, CGY

773

93

680

0.8797

0.9124

-0.0327

-32.7056

2010-2011 Season

Rank

Player

Team

GP

Shots Against

Goals Against

Saves

Save %

Average Save Percentage of Goalies who Played >30%

Difference

Difference * 1000

1

Tim Thomas

BOS

44

1401

85

1316

0.9393

0.9140

0.0253

25.3042

2

James Reimer

TOR

19

563

40

523

0.9290

0.9140

0.0149

14.9272

3

Pekka Rinne

NSH

46

1334

97

1237

0.9273

0.9140

0.0133

13.2615

4

Niklas Backstrom

MIN

39

1224

90

1134

0.9265

0.9140

0.0124

12.4458

5

Jonas Hiller

ANA

48

1484

111

1373

0.9252

0.9140

0.0112

11.1773

6

Roberto Luongo

VAN

47

1394

106

1288

0.9240

0.9140

0.0099

9.9350

7

Semyon Varlamov

WSH

24

677

52

625

0.9232

0.9140

0.0092

9.1657

8

Corey Crawford

CHI

38

1035

80

955

0.9227

0.9140

0.0087

8.6805

9

Henrik Lundqvist

NYR

50

1457

114

1343

0.9218

0.9140

0.0077

7.7322

10

Tomas Vokoun

FLA

47

1457

114

1343

0.9218

0.9140

0.0077

7.7322

11

Brian Boucher

PHI

26

708

57

651

0.9195

0.9140

0.0055

5.4667

12

Carey Price

MTL

55

1623

131

1492

0.9193

0.9140

0.0053

5.2604

13

Ondrej Pavelec

ATL

47

1442

117

1325

0.9189

0.9140

0.0048

4.8379

14

Antti Niemi

SJS

42

1227

100

1127

0.9185

0.9140

0.0045

4.4756

15

Cam Ward

CAR

56

1799

147

1652

0.9183

0.9140

0.0043

4.2631

16

Sergei Bobrovsky

PHI

39

1112

91

1021

0.9182

0.9140

0.0041

4.1406

17

Marc-Andre Fleury

PIT

52

1405

115

1290

0.9181

0.9140

0.0041

4.1246

18

Ilya Bryzgalov

PHX

51

1592

131

1461

0.9177

0.9140

0.0037

3.6887

19

Jonathan Quick

LAK

47

1244

103

1141

0.9172

0.9140

0.0032

3.1777

20

Kari Lehtonen

DAL

49

1505

127

1378

0.9156

0.9140

0.0016

1.5898

21

Ryan Miller

BUF

51

1545

133

1412

0.9139

0.9140

-0.0001

-0.1090

22

Johan Hedberg

NJD

31

688

60

628

0.9128

0.9140

-0.0012

-1.2341

23

Dwayne Roloson

NYI, TBL

39

1153

101

1052

0.9124

0.9140

-0.0016

-1.6224

24

Michal Neuvirth

WSH

37

980

87

893

0.9112

0.9140

-0.0028

-2.8003

25

Devan Dubnyk

EDM

25

784

70

714

0.9107

0.9140

-0.0033

-3.3106

26

Miikka Kiprusoff

CGY

55

1511

139

1372

0.9080

0.9140

-0.0060

-6.0169

27

Jimmy Howard

DET

48

1393

129

1264

0.9074

0.9140

-0.0066

-6.6307

28

Jaroslav Halak

STL

43

1183

110

1073

0.9070

0.9140

-0.0070

-7.0088

29

Craig Anderson

COL, OTT

37

1097

104

993

0.9052

0.9140

-0.0088

-8.8288

30

Steve Mason

CBJ

40

1146

109

1037

0.9049

0.9140

-0.0091

-9.1383

31

Mathieu Garon

CBJ

28

677

65

612

0.9040

0.9140

-0.0100

-10.0367

32

Martin Brodeur

NJD

39

924

93

831

0.8994

0.9140

-0.0147

-14.6742

33

Jean-Sebastien Giguere

TOR

29

728

74

654

0.8984

0.9140

-0.0157

-15.6732

34

Marty Turco

CHI

28

775

80

695

0.8968

0.9140

-0.0173

-17.2506

35

Peter Budaj

COL

34

958

99

859

0.8967

0.9140

-0.0174

-17.3651

36

Nikolai Khabibulin

EDM

39

1152

123

1029

0.8932

0.9140

-0.0208

-20.7957

37

Brian Elliott

OTT, COL

45

1220

131

1089

0.8926

0.9140

-0.0214

-21.4019

38

Dan Ellis

TBL, ANA

33

796

87

709

0.8907

0.9140

-0.0233

-23.3213

39

Jonas Gustavsson

TOR

23

620

68

552

0.8903

0.9140

-0.0237

-23.7023

Season

Goalies who played more than 30 games

All Goalies

2005/2006

0.904

0.901

2006/2007

0.909

0.905

2007/2008

0.911

0.909

2008/2009

0.911

0.908

2009/2010

0.912

0.911

2010/2011

0.914

N/A

Average

0.910

0.907

Some things I notice (please note for ease of writing I use the term "percentage point" for what is actually a tenth of a percentage point (using a scale of 1000% instead of 100%)):

 

  1. The best goaltending the Leafs have gotten since the lockout was Vesa Toskala in 2007-2008 with a 0.9041 save %.  This was 6.7352 percentage points below average and good for 29th in the league!
  2. This has been said many times but bares repeating each time an analysis shows it: Vesa Toskala's goaltending last year was the worst season of goaltending of any goaltender since the lockout.  His save % of 0.8797 was 32.7056 percentage points below league average.  The second worse was Marc Denis in 2006-2007 who was 26.0169 percentage points below league average.  That means Toskala was more than 5 percentage points worse than the second worse season since the lockout!
  3. Gustavsson (who is technically 1 GP short of the cut off) is the worst goaltender this year (slightly worst than Ellis at second worse).
  4. Reimer (if he were to have played enough games to count) is second best this year.  Further he has the 11th best save percentage relative to average since the lockout and would have been the BEST in 200-2008.
  5. Huet deserved his contract.  He was the best goaltender in 2005-2006, 11th best in 2006-2007, and 6th best in 2007-2008.  Let this be a warning to anyone signing a UFA goaltender, its easy to judge Chicago now in hindsight but their decision made sense at the time.
  6. One should not over value a single year's production (sorry statue builders).  Dan Ellis lead the league in 2007-2008.  Admittedly he did it with only 44 GP, so if a goalie plays more it may be easier to judge.
  7. Miller is having the worst post Vezina season since the lockout, playing at exactly league average goaltending (for those curious Brodeur's save percentage in 2008-2009 was a 0.916, ~7 percentage points above league average).
  8. Rookies can do very well and then go one of two routes.  Some never again achieve that level of play (Dan Ellis 1st in 2007-2008), while some go on to great careers (Henrik Lundqvist 4th in 2005-2006, Nicklas Backstrom 1st in 2006-2007, Jonas HIller 6th in 2008-2009).
  9. Niemi has been a very average goalie so far in his career.  Basically exactly at avereage last year and ~4 percentage points above this year.  Interesting contract with that in mind.
  10. Giggy was number 3 to two guys who played less than 45 games in 2007-2008.
  11. Minnesota goalies have always had good save percentages besides last year (their first season with a new coach).  I believe that system inflates goalies stats (more analysis would have to be done to prove or disprove this).
  12. Careful judging goalies in 2005-2006 (0.904 league average) and this year (0.914 league average).
  13. I found the actual league-wide save percentages and have added it above (source: Quant Hockey).  One thing I notice is that this concept of 0.910 hockey is only true for starters (in fact if we remove this year it drops to 0.909).  League wide 0.907 is the average.

 

Cheers

PensionPlanPuppets.com is a fan community that allows members to post their own thoughts and opinions on the Toronto Maple Leafs and hockey in general. These views and thoughts may not be shared by the editor of PensionPlanPuppets.com.

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Comments

Display:

Neat! I love numbers.

One question: What was your thought process on only using these goalies that fit your criteria rather than league-wide average sv %? Was there a huge discrepency?

Also, fuck our goaltending since the lockout.

20 miles to Legoland!

by nhlcheapshot on Mar 1, 2011 5:55 PM EST reply actions  

I am not sure if I should have or not. I figured there were two arguments:

Pro my method-These are the guys they are being compared to. These are the starters and their main competition

Anti my method-Every shot counts and the games with the other goalies surely do (probably a fair chunk of the season).

I probably should have used all, but this was the data set I have. Wouldn’t take much to fix it. If I find out what the S% is those years from another source I can easily adjust it.

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 6:45 PM EST up reply actions  

Found the numbers

This is a great site (http://www.quanthockey.com/TS/TS_SavePercentage.php)

Year/My Calculation/Actual/Difference
’05/0.904/0.901/0.003
’06/0.909/0.905/0.004
’07/0.911/0.909/0.002
’08/0.911/0.908/0.003
’09/0.912/0.911/+0.001

They don’t have this years. So it deflates the average some. This makes sense following the logic that backups are likely to have worse numbers than starters. If I find the time I’ll change it, but it doesn’t make a large difference. The biggest one was in 06-07.

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 7:04 PM EST up reply actions  

Burtch'd

Added it as an addendum

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 7:14 PM EST up reply actions  

Have to say

Great post, I love how you simplified something I always felt to be a tad confusing. Great job

Where in the world is Carmen San Diego?!!!

by SPERO on Mar 2, 2011 3:41 PM EST up reply actions  

Thanks. I really appreciate that

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 3, 2011 8:44 AM EST up reply actions  

Very nice job.
1. I had no idea Gustavsson was having such a bad year.. I don’t know whether it’s a result of last year being such a disaster, but it seems he’s in this bad groove of playing each game as if it were a tryout for the next one. That never works… I hope he can recover his mojo, I’ve always liked him.

2. It might be a seperate analysis (good work usually spawns more questions :D) but I’ve always wondered if there’s any indicators in a goalie’s early years that help predict their potential…

.. I know the Leafs abuse me, but its because they LOVE me ..
.. 2/24/2011: I was there ..
@Vitamin_M_

by Vitamin_M on Mar 1, 2011 6:40 PM EST reply actions  

Thanks for the compliment. He actually had a strong start to the year and collapsed mid November. I actually made a graph of his year a while ago. I’ll find it and post it for you.

In regards to goalie’s potential I don’t know anything that directly answers that, but here is an article that has some information on a goalie’s first 60 games: http://www.behindthenethockey.com/2011/2/23/2005954/the-importance-of-a-goalies-first-15-games

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 6:47 PM EST up reply actions  

BOOM! (x2)


I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 6:52 PM EST up reply actions  

DAY-AMN!

quite the rollercoaster… I had a feeling this was true – his last handful of starts were terrible…

.. I know the Leafs abuse me, but its because they LOVE me ..
.. 2/24/2011: I was there ..
@Vitamin_M_

by Vitamin_M on Mar 1, 2011 7:08 PM EST up reply actions  

Yeah

He was a league leader until Nov 24th. Nearly 0.925. Of course that was just 9 games. But if you calculated from the olympics to Nov 24 he was one of the top 5 goalies IIRC

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 7:19 PM EST up reply actions  

Can we get this with non-cumulative percentages?

Because with cum ones the graph is ALWAYS going to get less reactive as you move through the year. At the start of the season a string of good games will rocket your average, and by the end a string of good games will be put onto an enormous pile and will barely move the needles. Trends are easier to spot with non-cumulative measures.

Glory glory Man United, AND the other MU, AAAAnd the Leafs. I think I need a drink now.

by Wan Ihite on Mar 2, 2011 2:15 PM EST up reply actions  

Sure. I’ll do this when I can

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 3, 2011 8:44 AM EST up reply actions  

Weird. SV% has been going up every year.

Move along. Nothing to see here...

by Van Ryn's Neurologist on Mar 1, 2011 8:39 PM EST reply actions  

Wow

I completely missed that.

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 1, 2011 8:56 PM EST up reply actions  

I think penalties are also down since the end of the lockout….

Move along. Nothing to see here...

by Van Ryn's Neurologist on Mar 2, 2011 12:00 AM EST up reply actions   1 recs

the return

of clutch and grab hockey… bound to happen over time.

"Success is the ability to go from one failure to another with no loss of enthusiasm."

- Sir Winston Churchill

I'm pretty sure he's talking about the Leafs.

by Steve Burtch on Mar 2, 2011 12:44 AM EST up reply actions   1 recs

Perhaps

They made a bunch of changes at the time of the lockout to increase scoring… my guess is those had a temporary effect until teams adjusted.

I remember seeing a data set somewehre else that listed save percent by year across all 5 major leagues (NHL, Swedish elite, Russian, German, I think, some others), and the general trend across ALL of them was a nearly identical increase in save percents / decrease in goals scored. There was a small blip upward in the NHL after the lockout due to the rules change, and then the trend reasserted itself there too.

I think there may also be a similar trend in soccer, but I’m VERY hazy on that. The bottom line is probably that defense is easier to train for and coach, and so as coaching improves, it gets better faster than offense.

Glory glory Man United, AND the other MU, AAAAnd the Leafs. I think I need a drink now.

by Wan Ihite on Mar 2, 2011 2:18 PM EST up reply actions  

If you buy into the axioms that “defence is all about hard work” and “you can’t teach skill”, then is stands to reason that as training methods improve, save percentage would go up.

Athletes are in better shape, therefore they are able to work harder, and do so for longer stretches. That means improved D … and therefore lower scoring.

This space for rent...

by fair_n_hite_451 on Mar 2, 2011 2:33 PM EST up reply actions  

Both Cheechoo and Gionta scored 24 on the PP in 05-06, so you’re probably right.

by scrambles the death dealer on Mar 2, 2011 2:42 AM EST up reply actions  

Penalties are down something like 30% from 2005-2006

On the Mike Weber bandwagon (Stupid penalties and all!)
(Patrick Lalime) is third in the league for doors shut, with a .935 shutting percentage - AcesNines

by Ubiquitous on Mar 2, 2011 9:06 AM EST up reply actions  

I really should check ES Sv%

I am drinking the Kule-aid!
Certified Kule lover!

by BCapp on Mar 2, 2011 9:06 AM EST up reply actions  

You’re making it harder and harder for me to defend Gus. Good post otherwise.

Move along. Nothing to see here...

by Van Ryn's Neurologist on Mar 1, 2011 9:22 PM EST reply actions  

also

I’m just going to put this out there so I look like a genius:

my guess is Reimer puts up horrible numbers next year.

Move along. Nothing to see here...

by Van Ryn's Neurologist on Mar 1, 2011 9:24 PM EST up reply actions  

Gah

I really hope not. I try not to like goalies until they have 2 seasons. Its because there have been way to many goalies to have a good first season and do nothing (see Raycroft and Mason). But even I (who has been trying to get people off the Reimer train) have been having trouble not getting excited.

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by BCapp on Mar 1, 2011 9:40 PM EST up reply actions  

my guess is Reimer puts up horrible numbers next year.

That’s probably a safe bet.

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by PPP on Mar 1, 2011 10:54 PM EST up reply actions  

I'm hoping

He puts up league average numbers next year… It wouldn’t be unheard of, for him to be quite good. All of Lundy, Backstrom, Rask, and Ryan Miller (he had played 18 games before the lockout) have had very good rookie seasons and continued to have very good careers thus far.

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by BCapp on Mar 2, 2011 8:33 AM EST up reply actions  

Very few seem to think that he’s actually a .925 goalie, but I like others think he will regress no further than average. Prediction noted.

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by Nirbo on Mar 1, 2011 10:58 PM EST up reply actions  

He likely won't keep putting up numbers

quite as good as these… particularly based on his career so far…. but he looks like he’s a fair sight better than most of what we’ve had in recent years.

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by Steve Burtch on Mar 2, 2011 12:45 AM EST up reply actions  

His glove hand does scare me

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by BCapp on Mar 2, 2011 8:33 AM EST up reply actions  

That’s not a very high bar… but I’ll take it.

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by Wan Ihite on Mar 2, 2011 2:20 PM EST up reply actions  

my guess is Reimer puts up horrible numbers next year.

Extremely likely.

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by nhlcheapshot on Mar 2, 2011 6:09 AM EST up reply actions  

Horrible, or average?

.910 – .915 I’m okay with, especially since I hope he doesnt play more than 30-35 games.

by samspade on Mar 2, 2011 2:53 PM EST up reply actions  

Vehemently disagree

With the opening statement

I don’t care about stats, they’re just stupid numbers. Watch the damn game.

While these people are wholeheartedly wrong…

You can’t be wrong about whether or not you care about something.

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by Archimedies on Mar 1, 2011 11:36 PM EST reply actions  

But you can be wrong about whether or not something is stupid… or a number… or damn.

by Shield on Mar 1, 2011 11:56 PM EST up reply actions  

Thank you shield

This is the part that is wrong:

I don’t care about stats, they’re just stupid numbers. Watch the damn game.

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by BCapp on Mar 2, 2011 8:34 AM EST up reply actions  

Great Work

But made me remember a question I’d been thinking about for a long time – has anyone done a comparison of team by team SV% over the years? Teams like Boston, Nashville, Minnesota, Anaheim seem to be at/near the top of the lists despite different goaltenders assuming the goaltending duties. Is there any evidence to suggest SV% is a function of the defensive system deployed by the team?

Dan Ellis was the best one year, and the worst another year (save for Toskala) – perhaps there are factors in play other than fluctuations in skill level.

elephant shell

by sportsfan2 on Mar 1, 2011 11:50 PM EST reply actions  

dangit, toskala there should read gustavsson

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by sportsfan2 on Mar 1, 2011 11:52 PM EST up reply actions  

Yeah

I was wondering the same. I notice (like I always do) that Minny goalies always do quite well there. Maybe I’ll do an analysis of their goalies later.

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by BCapp on Mar 2, 2011 8:35 AM EST up reply actions  

would be near impossible to do in places like NJ that have one goalie longer than they have the same coaches and systems and such.

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by Wan Ihite on Mar 2, 2011 2:21 PM EST up reply actions  

I was just noticing that Nabokov had some bad years during the Ron Wilson era in SJ, so I did this little calculation:

Nabokov during Ron Wilson years (’02 – 08): .905 SV%
Nabokov before and after RW years: .916 SV%

I’m not saying RW is to blame necessarily, just wondering along those same lines whether it is possible to work out the effect of a coach or team on goaltending performance.

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by Van Ryn's Neurologist on Mar 2, 2011 12:12 AM EST up reply actions  

There may be something to that, inasmuch as difference coaches play different styles of hockey, but I think it’d be a pretty tenuous connection.

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by JP Nikota on Mar 2, 2011 12:14 AM EST up reply actions  

For this kind of analysis I think its key to look at SV%-average S% because you are comparing year-year.

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by BCapp on Mar 2, 2011 8:35 AM EST up reply actions  

I'm actually

doing work on shot location for the Leafs… I’m guessing it will show some interesting things (at least this season) it certainly did offensively.

Post goes up 10 AM tomorrow…. I left my spread sheet out though… looking at each individual game for 63 games gave me too many numbers to bother putting up.

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- Sir Winston Churchill

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by Steve Burtch on Mar 2, 2011 12:47 AM EST up reply actions  

yes

like luck. 30 games really isn’t very many … a 65-70 game season shows you a truer level of a goalie’s repeatable skill.

The fact we’re mixing together 30 game guys with 50+ game guys makes this sort of hard to take whole hog.

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I'm pretty sure he's talking about the Leafs.

by Steve Burtch on Mar 2, 2011 12:48 AM EST up reply actions  

For sure

If I have the time I’ll cut it down to 41 (half a season) and use ES% and post it as a google doc. I can’t guarantee I’ll have the time.

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by BCapp on Mar 2, 2011 8:36 AM EST up reply actions  

Another thing that plays into this is scorer bias. I understand that certain rinks are notorious for inflating or deflating hits, shots, blocks, etc.

I dearly wish the NHL would isolate these stats on a home-road basis, as notwithstanding unbalanced schedules the road-only stats would probably be a much truer approximation.

For example, is it possible our atrocious post-lockout sv% is attributable at least in part to systematic undercounting of shots at the ACC? It would be very interesting for someone to actually spend the time to go and look at SF/SA for the Leafs home and away since the lockout.

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by The '67 Sound on Mar 2, 2011 8:38 AM EST up reply actions  

Very good point

I fear we can not look at this (at least in regards to S%) for individual seasons though because the GP (and thus SA) would be too low. Particularly for the Leafs who because of our terrible goaltending have been splitting time so much. Besides Raycroft in 06/07 and Toskalol in 07/08 our goalies haven’t played more than mid 50s GP

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by BCapp on Mar 2, 2011 8:43 AM EST up reply actions  

Right, but it would still be possible to get a Rink Factor for shots.

by Papa Squid on Mar 2, 2011 12:12 PM EST up reply actions  

Hmmm

Maybe not for one season. We are talking about 82 GP per season (41 GP in each arena * 2 goalies). It would be hard to get enough of a sample size for someone at any one arena. Also if you look at home stats their could be other confounding factors besides the arena itself (ie it wouldn’t effect two different goalies playing away games there)

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by BCapp on Mar 2, 2011 1:17 PM EST up reply actions  

It would be done like it is for baseball. Over multiple seasons. Typically, in baseball, it’s rolling three year average. And it would be an arena metric, not really a goaltender metric.

I admit, I’m not certain you’d glean much from it. I suspect the difference isn’t much more than 2% either way.

by Papa Squid on Mar 2, 2011 2:40 PM EST up reply actions  

The problem is that this measure would be perfectly confounded with teams.

Every single game at the ACC is played by the Leafs. So does the ACC staff undercount, or do the Leafs play a home game that minimizes shots for and against? You could never tell.

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by Wan Ihite on Mar 2, 2011 2:25 PM EST up reply actions  

Oh and

last thing… could you re-run the numbers with ES SV% rather than just plain old SV%? I think the statistic would be more meaningful in terms of actual measurement of goaltender’s skill.

"Success is the ability to go from one failure to another with no loss of enthusiasm."

- Sir Winston Churchill

I'm pretty sure he's talking about the Leafs.

by Steve Burtch on Mar 2, 2011 12:49 AM EST reply actions  

I’ll just repeat what I wrote above:

If I have the time I’ll cut it down to 41 (half a season) and use ES% and post it as a google doc. I can’t guarantee I’ll have the time.

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by BCapp on Mar 2, 2011 8:36 AM EST up reply actions  

Need to adjust the terminology somehow – it’s not actually 32.7056 “percentage” points, it’s out of 1,000. Minor point.

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by not norm ullman on Mar 2, 2011 2:04 AM EST reply actions  

I realized that as I wrote it, but it made it easier to type. I’ll put a disclaimer in.

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by BCapp on Mar 2, 2011 8:37 AM EST up reply actions  

BOOM!

Added this note:

please note for ease of writing I use the term “percentage point” for what is actually a tenth of a percentage point (using a scale of 1000% instead of 100%)

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by BCapp on Mar 2, 2011 8:40 AM EST up reply actions  

Fascinating read. The over time progression of seasonal average adds a interesting twist to projecting goalie performance in the short and medium term. I think Steve’s assertion that a return to clutch and grab hockey might answer why this is occurring.

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by blindfolded tank driver on Mar 2, 2011 7:10 AM EST reply actions  

Probably

Its shocking I didn’t notice it when I typed it. VR’s Neuro had to point it out to me

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by BCapp on Mar 2, 2011 8:38 AM EST up reply actions  

Thanks to whoever front paged this

I always like being front paged :D

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by BCapp on Mar 2, 2011 8:45 AM EST reply actions  

Change two “worse” to worst please.

Good article.

by not_Chemmy on Mar 2, 2011 9:27 AM EST up reply actions  

Haha

I am not a writer and am not overly concerned with typos.

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by BCapp on Mar 2, 2011 9:31 AM EST up reply actions  

Here I fixed it for you it adds a few IQ points to an intelligent article. You should consider writing.

3. Gustavsson (who is technically 1 GP short of the cut off) is the worst goaltender this year (slightly worse than Ellis at second worst).

by not_Chemmy on Mar 2, 2011 9:33 AM EST up reply actions  

Fixed

Thanks. I am not a writer and have a career path ahead of me that I am ecstatic about (I am in medical school). I have always been someone who loves debating and disliked writing because the finer points of grammar (the ones that come across in writing but not speaking) always annoyed me and I never bothered paying attention to them. Here on PPP I have found people who share both my love of the Leafs and have two key characteristics:
1) Everyone here likes arguing/discussing hockey and while arguments can get heated no one generally takes things personally.
2) (My favourite part) People are willing to change their opinion if proven wrong.

I write here just so I can share my opinion and maybe it will grow as a hobby, but it will always be just that.

Cheers

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by BCapp on Mar 2, 2011 9:41 AM EST up reply actions  

My graphs are wide…

It’s OK… we like you for the person you are, not how your graphs look.

Interesting stuff. Reminds me why I hate stats and wish I had a statistician working with the lab to make sense of it al.

by Learn2Leaf on Mar 2, 2011 10:27 AM EST reply actions  

Statistician’s are very useful. I have very rudimentary experience/training.

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by BCapp on Mar 2, 2011 10:31 AM EST up reply actions  

To clarify

I have enough statistics training to interpret stats (particularly in medical journals) as that is very important for my future. I am not great at doing statistics myself.

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by BCapp on Mar 2, 2011 10:32 AM EST up reply actions  

Great Post.

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by Say *plan the parade one more time*... on Mar 4, 2011 9:28 AM EST reply actions  

Stay tuned everyone

For a follow up post with standard deviations

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by BCapp on Mar 4, 2011 12:25 PM EST reply actions  

Love this

Great post BCapp. Very straightforward and difficult to dispute (although that won’t stop anyone).

I’ve been doing a series of posts over at SCH based on the post-lockout era, so this really added more insight to my current project: league-wide scoring average, which has been steadily decreasing since 05-06.

Now I also have some more bullets in the gun to fight the never ending “Huet was overpaid” and “Niemi was our savior” debate. Thanks.

Regarding Vesa last year. Kukla’s Korner had a good article last summer. Toronto had the 3rd best team Corsi in the league in 09-10 which obviously suggests that the goaltending was awful. Glad to see Reimer doing well. I hope he keeps it going. I made a bet with a guy on SCH from Ottawa at the beginning of the season that the Leafs would make the playoffs. I would really hate to lose that bet.

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by ChicagoNativeSon on Mar 7, 2011 11:38 PM EST reply actions  

I have updated my data with SD and then organized it by the best and worst since the lockout. I just haven’t gotten around to posting it. So check back soon.

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by BCapp on Mar 8, 2011 5:27 PM EST up reply actions  

Sneak peak

Huet had the 3rd best season since the lockout with his 05-06 S%. Admittedly it is in only 36 GP

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by BCapp on Mar 8, 2011 5:28 PM EST up reply actions  

Thanks

I’ll keep an eye out for it.

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by ChicagoNativeSon on Mar 8, 2011 7:27 PM EST up reply actions  

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