Login

Blues
GP: 17 | W: 8 | L: 7 | OTL: 2 | P: 18
GF: 54 | GA: 51 | PP%: 12.50% | PK%: 87.50%
GM : Tomas Hradsky | Morale : 50 | Team Overall : 68
Next Games #293 vs Lightning
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Capitals
12-5-0, 24pts
3
FINAL
1 Blues
8-7-2, 18pts
Team Stats
W5StreakSOW1
5-2-0Home Record4-4-0
7-3-0Away Record4-3-2
8-2-0Last 10 Games5-4-1
3.29Goals Per Game3.18
2.06Goals Against Per Game3.00
11.11%Power Play Percentage12.50%
88.73%Penalty Kill Percentage87.50%
Ducks
10-5-3, 23pts
3
FINAL
4 Blues
8-7-2, 18pts
Team Stats
SOL1StreakSOW1
6-2-0Home Record4-4-0
4-3-3Away Record4-3-2
7-2-1Last 10 Games5-4-1
3.11Goals Per Game3.18
2.72Goals Against Per Game3.00
16.87%Power Play Percentage12.50%
89.47%Penalty Kill Percentage87.50%
Blues
8-7-2, 18pts
2021-12-18
Lightning
8-6-2, 18pts
Team Stats
SOW1StreakW1
4-4-0Home Record6-3-0
4-3-2Away Record2-3-2
5-4-1Last 10 Games5-4-1
3.18Goals Per Game2.81
3.00Goals Against Per Game2.81
12.50%Power Play Percentage13.33%
87.50%Penalty Kill Percentage86.96%
Stars
11-6-0, 22pts
2021-12-21
Blues
8-7-2, 18pts
Team Stats
L1StreakSOW1
5-4-0Home Record4-4-0
6-2-0Away Record4-3-2
8-2-0Last 10 Games5-4-1
3.29Goals Per Game3.18
2.71Goals Against Per Game3.18
19.72%Power Play Percentage12.50%
80.88%Penalty Kill Percentage87.50%
Golden Knights
12-6-1, 25pts
2021-12-23
Blues
8-7-2, 18pts
Team Stats
L1StreakSOW1
6-2-1Home Record4-4-0
6-4-0Away Record4-3-2
6-4-0Last 10 Games5-4-1
2.95Goals Per Game3.18
2.63Goals Against Per Game3.18
18.06%Power Play Percentage12.50%
85.37%Penalty Kill Percentage87.50%
Team Leaders
Auston MatthewsGoals
Auston Matthews
11
Clayton KellerAssists
Clayton Keller
15
Auston MatthewsPoints
Auston Matthews
21
Matt DuchenePlus/Minus
Matt Duchene
10
Mikko KoskinenWins
Mikko Koskinen
8
Antti RaantaSave Percentage
Antti Raanta
0.891

Team Stats
Goals For
54
3.18 GFG
Shots For
492
28.94 Avg
Power Play Percentage
12.5%
7 GF
Offensive Zone Start
42.2%
Goals Against
51
3.00 GAA
Shots Against
417
24.53 Avg
Penalty Kill Percentage
87.5%%
6 GA
Defensive Zone Start
37.7%
Team Info

General ManagerTomas Hradsky
CoachCraig Berube
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

NameEnterprise Center
Capacity20,000
Attendance17,938
Season Tickets10,000


Roster Info

Pro Team20
Farm Team36
Contract Limit56 / 80
Prospects64


Salary Cap

Estimated Season Salary Cap69,738,750$
Available Salary Cap261,250$
Special Salary Cap Value805,000$
Players In Salary Cap23


Finance

Year to Date Revenue11,309,377$
Year To Date Expenses14,880,798$
Estimated Season Revenue46,651,180$
Estimated Season Expenses57,475,374$
Current Bank Account31,237,397$
Projected Bank Account18,992,327$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Auston MatthewsX99.007036818581899097928599729662570507602538,000,000$
2Matt DucheneXX100.006436778571869285868290668874690507303114,000,000$
3William KarlssonX98.006637818473848780908079758670640507102936,000,000$
4Clayton KellerXXX99.006235779067888781428179728260530507002414,900,000$
5Cam AtkinsonX100.006235829062849081357473758178730507003314,500,000$
6Joel FarabeeX100.007447678572838580368077737656480506902211,300,000$
7Nic DowdXX96.008142708275778567906665786276700506803232,800,000$
8Jack RoslovicXX100.006838818575779477657171696862550506802533,900,000$
9Tanner PearsonX100.007443758076808772357169727272650506803013,800,000$
10Matt Boldy (R)XX100.006536827678797777358073697154450506702131,800,000$
11Pierre EngvallXX100.006938738087759270466968686464560506602611,900,000$
12Jujhar KhairaXX100.008952667384766260736158715768600506302821,000,000$
13Colton ParaykoX100.007037756690919361307261805670630506902934,500,000$
14Zach WerenskiX99.006537777879958775308068747262550506902514,500,000$
15Tony DeAngeloX100.006745688570858572308468696366580506802614,400,000$
16Travis HamonicX100.007742656779837555306363795476690506703223,000,000$
17Nicolas HagueX100.007241636390837957306561775460510506602311,200,000$
18Robert BortuzzoX100.007950626484749051305856765078710506603311,000,000$
Scratches
Farm Team
1Sam LaffertyXX100.008456687976768161696059725866580506402711,200,000$
2Jesperi KotkaniemiXX100.007241747478738671746967636456470506402211,200,000$
3Daniel SprongXX100.006736827373758571365869627562530506302511,000,000$
4Boris Katchouk (R)X100.00834767737969835635575667596050050610241700,000$
5Nic PetanXXX100.00623880756470646240585261606657050590271600,000$
6Cody GlassX100.007035796981726166545652646258490505902311,000,000$
7Tanner Laczynski (R)X100.00703583707568606036545267566253050590251600,000$
8Nick MerkleyXX100.00663778716874616639595561646253050590252700,000$
9Cooper Marody (R)XX100.00553676717262606443575259586455050580252800,000$
10Riley Damiani (R)X100.00613778726667616139565559595647050570222500,000$
11Sampo Ranta (R)XX100.00653779697871625335545264565646050570222500,000$
12Erik GustafssonX100.006837787473788359306859675672640506503021,000,000$
13Kale Clague (R)X100.006437727373797155306660665360500506202411,100,000$
14Jacob Moverare (R)X100.00673684648278645030595571516051050620241800,000$
15Markus Niemelainen (R)X100.00904182658873644530565570506051050620241800,000$
16Vladislav Kolyachonok (R)X100.00733784687577694630575871535444050610213900,000$
17Nils Lundkvist (R)X100.00653685717074665030605765555648050600222800,000$
18Ryan StantonX100.005839725579515652304949615078700505703311,000,000$
19Joseph BlandisiXX100.00603971617044545847575756566860050560282800,000$
20Nick CaamanoXX100.00604172568144545436545357516050050540242600,000$
21Ryan FitzgeraldXX100.00543581586545465836555756566656050540275100,000$
22Cristiano DiGiacintoX100.006037755970405452355152555564560505302610100,000$
23Corey DurocherXX100.00503686518045465137434356457263050510306100,000$
24Matt UstaskiXX100.00503686519045455139434356456858050510288100,000$
25Leon GawankeX100.00563582587650585630525362525848050560238100,000$
26Thomas SchemitschX100.00583972558453595230485161516253050560255100,000$
27Markus PhillipsX100.00573577557350545030494762505848050540238100,000$
28Joe MasoniusX100.00594575527851574630444358466252050540258100,000$
29Xavier BouchardX100.00593581538351574830464557485646050540229100,000$
30Jacob FriendX100.00654165537850574530424655506254050530259100,000$
31Xavier BernardX100.00513585518350544530434455495647050520229100,000$
TEAM AVERAGE99.5071407379778385725073717370676005069
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Mikko Koskinen95.00788077948174777879756980770506903414,500,000$
2Antti Raanta100.00776360667873777878756978730506503332,000,000$
Scratches
Farm Team
1Dan Vladar (R)98.00736158857469717173716562550506302511,000,000$
2Calvin Pickard100.0063716871655963656563597265050590302800,000$
3Andrew Hammond100.00606057756459616465586280750505903411,200,000$
4Joseph Woll (R)100.0061575482625758646359616051050570241500,000$
5Colton Point (R)100.00514845805449515453515560500505202410100,000$
TEAM AVERAGE97.507872698080747778797569797505067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Craig Berube70908070555570CAN56110,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Auston MatthewsBluesC17111021800272767225016.42%032018.86213935000010061.14%38600011.3112000103
2Clayton KellerBluesC/LW/RW17615211040293355233410.91%333319.63134953000000015.00%2000001.2600000220
3Matt DucheneBluesC/RW1661016104011266214389.68%329018.151231030000002055.56%1800001.1012000111
4Joel FarabeeBluesLW176814180331945162713.33%126915.83000544000010025.00%1600001.0401000101
5William KarlssonBluesC176612400203841132914.63%733219.541127500000272057.29%39100000.7201000310
6Zach WerenskiBluesD17110110601718158106.67%1440223.6501175200008100.00%000000.5500000020
7Matt BoldyBluesLW/RW176511315513123162919.35%227916.43112543000010022.22%1800000.7901000010
8Jack RoslovicBluesC/RW17437-3206233481311.76%124314.29000170000101057.69%2600000.5800000010
9Tony DeAngeloBluesD17156-8951016186125.56%1934720.461011359000019000.00%000000.3500001000
10Nic DowdBluesC/RW17336-4195442727131411.11%531018.250000150000360058.95%32400000.3900001110
11Cam AtkinsonBluesRW17235-3008233312356.06%232619.210116440000440036.84%1900000.3100000000
12Nicolas HagueBluesD1704410802365190.00%1330317.86011015000133000.00%000000.2600000000
13Pierre EngvallBluesLW/RW17112-60026102410.00%0814.7901103000091026.09%2300000.4900000001
14Colton ParaykoBluesD16022-117532167570.00%2135222.06000114000030000.00%000000.1100000000
15Robert BortuzzoBluesD1702211803045050.00%1725815.1900000000032000.00%000000.1500000000
16Tanner PearsonBluesLW17022-400616252100.00%41619.510000110000220050.00%1600000.2500000000
17Travis HamonicBluesD170112803395440.00%1733719.8500009000042000.00%000000.0600000000
18Jujhar KhairaBluesC/LW17011-8801566050.00%0824.8800003000090040.91%6600000.2400000000
19Sam LaffertySpringfield Thunderbirds (STL)C/LW1000-100001000.00%066.65000000000000100.00%100000.00%00000000
20Markus NiemelainenSpringfield Thunderbirds (STL)D1000100110100.00%11515.930000000001000.00%000000.00%00000000
Team Total or Average3065391144121262036032649215633510.77%130505516.52712197349500013347055.59%132400010.5727002996
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Mikko KoskinenBlues178620.8792.8893901453710000.7147161001
2Antti RaantaBlues30100.8913.2692005460000.00%0116000
Team Total or Average208720.8802.911031015041700071717001


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Antti RaantaBluesG3307.07.1989No195 Lbs6 ft0NoNoNo3Pro Only2,000,000$1,587,500$2,000,000$1,587,500$No2,000,000$2,000,000$NHL Link
Auston MatthewsBluesC2507.07.1997No205 Lbs6 ft3YesNoNo3Pro Only8,000,000$6,350,000$8,000,000$6,350,000$No8,000,000$8,000,000$NHL Link
Cam AtkinsonBluesRW3307.07.1989No176 Lbs5 ft8NoNoNo1Pro Only4,500,000$3,571,875$4,500,000$3,571,875$NoNHL Link
Clayton KellerBluesC/LW/RW2407.07.1998No178 Lbs5 ft10YesNoNo1Pro Only4,900,000$3,889,375$4,900,000$3,889,375$NoNHL Link
Colton ParaykoBluesD2907.07.1993No228 Lbs6 ft6NoNoNo3Pro Only4,500,000$3,571,875$4,500,000$3,571,875$No4,500,000$4,500,000$NHL Link
Jack RoslovicBluesC/RW2507.07.1997No193 Lbs6 ft1NoNoNo3Pro Only3,900,000$3,095,625$3,900,000$3,095,625$No3,900,000$3,900,000$NHL Link
Joel FarabeeBluesLW2207.07.2000No183 Lbs6 ft0NoNoNo1Pro & Farm1,300,000$1,031,875$1,300,000$1,031,875$NoNHL Link
Jujhar Khaira (1 Way Contract)BluesC/LW2807.07.1994No212 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$793,750$1,000,000$793,750$No1,000,000$NHL Link
Matt BoldyBluesLW/RW2107.07.2001Yes201 Lbs6 ft2NoNoNo3Pro & Farm1,800,000$1,428,750$1,800,000$1,428,750$No1,800,000$1,800,000$NHL Link
Matt DucheneBluesC/RW3107.07.1991No195 Lbs5 ft11NoNoNo1Pro Only4,000,000$3,175,000$4,000,000$3,175,000$NoNHL Link
Mikko KoskinenBluesG3407.07.1988No202 Lbs6 ft7NoNoNo1Pro Only4,500,000$3,571,875$4,500,000$3,571,875$NoNHL Link
Nic DowdBluesC/RW3207.07.1990No193 Lbs6 ft1NoNoNo3Pro Only2,800,000$2,222,500$2,800,000$2,222,500$No2,800,000$2,800,000$NHL Link
Nicolas HagueBluesD2307.07.1999No230 Lbs6 ft6NoNoNo1Pro & Farm1,200,000$952,500$1,200,000$952,500$NoNHL Link
Pierre EngvallBluesLW/RW2607.07.1996No215 Lbs6 ft5NoNoNo1Pro Only1,900,000$1,508,125$1,900,000$1,508,125$NoNHL Link
Robert BortuzzoBluesD3307.07.1989No216 Lbs6 ft4NoNoNo1Pro Only1,000,000$793,750$1,000,000$793,750$NoNHL Link
Tanner PearsonBluesLW3007.07.1992No201 Lbs6 ft1NoNoNo1Pro Only3,800,000$3,016,250$3,800,000$3,016,250$NoNHL Link
Tony DeAngeloBluesD2607.07.1996No180 Lbs5 ft11NoNoNo1Pro Only4,400,000$3,492,500$4,400,000$3,492,500$NoNHL Link
Travis HamonicBluesD3207.07.1990No205 Lbs6 ft2NoNoNo2Pro Only3,000,000$2,381,250$3,000,000$2,381,250$No3,000,000$NHL Link
William KarlssonBluesC2907.07.1993No192 Lbs6 ft0NoNoNo3Pro Only6,000,000$4,762,500$6,000,000$4,762,500$No6,000,000$6,000,000$NHL Link
Zach WerenskiBluesD2507.07.1997No213 Lbs6 ft2YesNoNo1Pro Only4,500,000$3,571,875$4,500,000$3,571,875$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2028.05201 Lbs6 ft21.803,450,000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,000,000$33,000,000$29,000,000$0$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerAuston MatthewsMatt Boldy33113
2Joel FarabeeWilliam KarlssonMatt Duchene30122
3Cam AtkinsonNic DowdJack Roslovic25122
4Tanner PearsonNic DowdJujhar Khaira12131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Colton ParaykoZach Werenski40122
2Nicolas HagueTravis Hamonic30122
3Tony DeAngeloRobert Bortuzzo20131
4Tony DeAngeloRobert Bortuzzo10131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Clayton KellerAuston MatthewsMatt Duchene60014
2Joel FarabeeWilliam KarlssonMatt Boldy40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tony DeAngeloZach Werenski60113
2Tony DeAngeloCam Atkinson40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nic DowdCam Atkinson60140
2William KarlssonTanner Pearson40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Colton ParaykoTravis Hamonic60122
2Robert BortuzzoNicolas Hague40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nic Dowd60140Colton ParaykoTravis Hamonic60140
2William Karlsson40140Robert BortuzzoNicolas Hague40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Auston MatthewsClayton Keller60122
2William KarlssonMatt Duchene40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueZach Werenski60122
2Tony DeAngeloTravis Hamonic40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Clayton KellerAuston MatthewsMatt DucheneJoel FarabeeTony DeAngelo
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cam AtkinsonWilliam KarlssonJoel FarabeeColton ParaykoTravis Hamonic
Extra Forwards
Normal PowerPlayPenalty Kill
Tanner Pearson, Nic Dowd, Jack RoslovicCam Atkinson, Matt BoldyNic Dowd
Extra Defensemen
Normal PowerPlayPenalty Kill
Nicolas Hague, Robert Bortuzzo, Tony DeAngeloTony DeAngeloRobert Bortuzzo, Travis Hamonic
Penalty Shots
Joel Farabee, Matt Boldy, Matt Duchene, Auston Matthews, Clayton Keller
Goalie
#1 : Mikko Koskinen, #2 : Antti Raanta


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Avalanche1010000035-2000000000001010000035-200.0003690010203186170197423600.00%20100.00%030155953.85%29349958.72%14226653.38%2820196116
2Blackhawks11000000312000000000001100000031221.000358000210253101201691523300.00%6183.33%030155953.85%29349958.72%14226653.38%2618216126
3Blue Jackets11000000312110000003120000000000021.000358002010348131301810623100.00%30100.00%030155953.85%29349958.72%14226653.38%2619206136
4Bruins11000000532000000000001100000053221.00058130041002412840203021200.00%000.00%030155953.85%29349958.72%14226653.38%2417217137
5Canadiens1010000023-11010000023-10000000000000.00024600020021411601931319200.00%4175.00%030155953.85%29349958.72%14226653.38%2316237126
6Capitals1010000013-21010000013-20000000000000.000123001000341316502341312400.00%40100.00%030155953.85%29349958.72%14226653.38%2316246126
7Ducks10000010431100000104310000000000021.0004610002101301281044210827300.00%40100.00%030155953.85%29349958.72%14226653.38%2416277136
8Flyers11000000422000000000001100000042221.0004711001120331215603476253133.33%3166.67%030155953.85%29349958.72%14226653.38%2317256105
9Golden Knights1000010034-1000000000001000010034-110.50033600012029791123086245120.00%30100.00%030155953.85%29349958.72%14226653.38%2416237147
10Islanders11000000303110000003030000000000021.00036901210023661101552255120.00%10100.00%030155953.85%29349958.72%14226653.38%2618207137
11Jets1000000134-1000000000001000000134-110.500369000211391012137401362511100.00%3166.67%030155953.85%29349958.72%14226653.38%2317296125
12Kraken1010000035-2000000000001010000035-200.00034700210031131080225213200.00%10100.00%030155953.85%29349958.72%14226653.38%2821197125
13Oilers21100000853110000005141010000034-120.50081523003410481615170411725388225.00%6183.33%030155953.85%29349958.72%14226653.38%503644132513
14Predators11000000541000000000001100000054121.00059140040103818101002614428600.00%10100.00%030155953.85%29349958.72%14226653.38%2619217126
15Sharks2020000048-42020000048-40000000000000.000459001030522117140521516345120.00%7185.71%030155953.85%29349958.72%14226653.38%453047132613
Total1777001115451383400010221939430010132320180.52954911450123161424921631661571341713012636056712.50%48687.50%030155953.85%29349958.72%14226653.38%426303390118215110
_Since Last GM Reset1777001115451383400010221939430010132320180.52954911450123161424921631661571341713012636056712.50%48687.50%030155953.85%29349958.72%14226653.38%426303390118215110
_Vs Conference1135001113639-34120001013121723001012327-4100.4553659950013111123231089711213288988623539512.82%33487.88%030155953.85%29349958.72%14226653.38%2781962547613972
_Vs Division421000011414000000000000421000011414050.62514264000545113339385271014329991616.25%12283.33%030155953.85%29349958.72%14226653.38%1057591274825

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1718SOW1549114549241713012636001
All Games
GPWLOTWOTL SOWSOLGFGA
177701115451
Home Games
GPWLOTWOTL SOWSOLGFGA
83400102219
Visitor Games
GPWLOTWOTL SOWSOLGFGA
94301013232
Last 10 Games
WLOTWOTL SOWSOL
440110
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
56712.50%48687.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
163166157132316142
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
30155953.85%29349958.72%14226653.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
426303390118215110


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2021-11-1419Oilers1Blues5BWBoxScore
4 - 2021-11-1635Blue Jackets1Blues3BWBoxScore
7 - 2021-11-1966Blues3Kraken5ALBoxScore
9 - 2021-11-2180Blues3Oilers4ALBoxScore
11 - 2021-11-2388Blues3Jets4ALXXBoxScore
13 - 2021-11-25108Blues5Predators4AWBoxScore
15 - 2021-11-27123Canadiens3Blues2BLBoxScore
17 - 2021-11-29137Sharks5Blues3BLBoxScore
18 - 2021-11-30148Islanders0Blues3BWBoxScore
21 - 2021-12-03168Blues5Bruins3AWBoxScore
22 - 2021-12-04176Blues4Flyers2AWBoxScore
24 - 2021-12-06198Sharks3Blues1BLBoxScore
26 - 2021-12-08214Blues3Golden Knights4ALXBoxScore
28 - 2021-12-10230Blues3Avalanche5ALBoxScore
30 - 2021-12-12246Blues3Blackhawks1AWBoxScore
31 - 2021-12-13253Capitals3Blues1BLBoxScore
33 - 2021-12-15272Ducks3Blues4BWXXBoxScore
36 - 2021-12-18293Blues-Lightning-
39 - 2021-12-21318Stars-Blues-
41 - 2021-12-23334Golden Knights-Blues-
42 - 2021-12-24341Hurricanes-Blues-
44 - 2021-12-26355Blues-Penguins-
46 - 2021-12-28372Blues-Rangers-
47 - 2021-12-29379Blues-Islanders-
49 - 2021-12-31399Jets-Blues-
52 - 2022-01-03424Avalanche-Blues-
53 - 2022-01-04431Predators-Blues-
56 - 2022-01-07460Blues-Oilers-
57 - 2022-01-08465Blues-Flames-
60 - 2022-01-11491Blues-Canucks-
61 - 2022-01-12498Blues-Kraken-
64 - 2022-01-15523Blues-Golden Knights-
65 - 2022-01-16529Maple Leafs-Blues-
67 - 2022-01-18543Blackhawks-Blues-
69 - 2022-01-20557Wild-Blues-
71 - 2022-01-22576Blues-Panthers-
72 - 2022-01-23580Blues-Maple Leafs-
74 - 2022-01-25593Blues-Devils-
76 - 2022-01-27611Blues-Canadiens-
77 - 2022-01-28624Blues-Wild-
79 - 2022-01-30640Flames-Blues-
81 - 2022-02-01659Flames-Blues-
83 - 2022-02-03673Lightning-Blues-
84 - 2022-02-04681Senators-Blues-
86 - 2022-02-06700Kings-Blues-
88 - 2022-02-08715Predators-Blues-
89 - 2022-02-09725Blackhawks-Blues-
92 - 2022-02-12746Sabres-Blues-
94 - 2022-02-14766Blues-Coyotes-
96 - 2022-02-16781Blues-Avalanche-
98 - 2022-02-18797Blues-Jets-
100 - 2022-02-20811Blues-Sabres-
102 - 2022-02-22827Blues-Red Wings-
103 - 2022-02-23840Coyotes-Blues-
106 - 2022-02-26861Panthers-Blues-
108 - 2022-02-28877Devils-Blues-
110 - 2022-03-02892Avalanche-Blues-
111 - 2022-03-03901Blues-Senators-
113 - 2022-03-05915Blues-Hurricanes-
115 - 2022-03-07935Canucks-Blues-
117 - 2022-03-09950Penguins-Blues-
120 - 2022-03-12972Kraken-Blues-
Trade Deadline --- Trades can’t be done after this day is simulated!
122 - 2022-03-14994Blues-Sharks-
124 - 2022-03-161010Blues-Kings-
125 - 2022-03-171016Ducks-Blues-
127 - 2022-03-191035Blues-Coyotes-
130 - 2022-03-221055Blues-Blue Jackets-
134 - 2022-03-261090Wild-Blues-
136 - 2022-03-281104Blues-Capitals-
138 - 2022-03-301124Jets-Blues-
140 - 2022-04-011139Red Wings-Blues-
143 - 2022-04-041169Blues-Ducks-
144 - 2022-04-051175Blues-Kings-
146 - 2022-04-071190Canucks-Blues-
148 - 2022-04-091207Blues-Blackhawks-
150 - 2022-04-111222Blues-Predators-
151 - 2022-04-121232Bruins-Blues-
153 - 2022-04-141249Flyers-Blues-
155 - 2022-04-161264Rangers-Blues-
156 - 2022-04-171274Blues-Wild-
159 - 2022-04-201294Stars-Blues-
160 - 2022-04-211307Blues-Stars-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity80004000500020001000
Ticket Price103634332203
Attendance58,05228,11435,74013,7747,824
Attendance PCT90.71%87.86%89.35%86.09%97.80%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
33 17938 - 89.69% 1,413,672$11,309,377$20000117

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
14,880,798$ 72,400,000$ 72,400,000$ 0$ 805,000$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
431,250$ 14,165,000$ 0$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
46,651,180$ 127 452,562$ 57,475,374$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
58,896,250$ 31,237,397$ 18,992,327$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
69,738,750$ 261,250$ 70,000,000$ 29,738,750$



Depth Chart

Left WingCenterRight Wing
Clayton KellerAGE:24PO:0OV:70
Joel FarabeeAGE:22PO:0OV:69
Tanner PearsonAGE:30PO:0OV:68
Matt Boldy (R)AGE:21PO:0OV:67
Pierre EngvallAGE:26PO:0OV:66
Sam LaffertyAGE:27PO:0OV:64
Jesperi KotkaniemiAGE:22PO:0OV:64
Daniel SprongAGE:25PO:0OV:63
Jujhar KhairaAGE:28PO:0OV:63
Boris Katchouk (R)AGE:24PO:0OV:61
Nic PetanAGE:27PO:0OV:59
Sampo Ranta (R)AGE:22PO:0OV:57
Nick CaamanoAGE:24PO:0OV:54
Ryan FitzgeraldAGE:27PO:0OV:54
Cristiano DiGiacintoAGE:26PO:0OV:53
Corey DurocherAGE:30PO:0OV:51
Matt UstaskiAGE:28PO:0OV:51
Auston MatthewsAGE:25PO:0OV:76
Matt DucheneAGE:31PO:0OV:73
William KarlssonAGE:29PO:0OV:71
Clayton KellerAGE:24PO:0OV:70
Nic DowdAGE:32PO:0OV:68
Jack RoslovicAGE:25PO:0OV:68
Sam LaffertyAGE:27PO:0OV:64
Jesperi KotkaniemiAGE:22PO:0OV:64
Jujhar KhairaAGE:28PO:0OV:63
Nic PetanAGE:27PO:0OV:59
Cody GlassAGE:23PO:0OV:59
Tanner Laczynski (R)AGE:25PO:0OV:59
Nick MerkleyAGE:25PO:0OV:59
Cooper Marody (R)AGE:25PO:0OV:58
Riley Damiani (R)AGE:22PO:0OV:57
Joseph BlandisiAGE:28PO:0OV:56
Ryan FitzgeraldAGE:27PO:0OV:54
Corey DurocherAGE:30PO:0OV:51
Matt UstaskiAGE:28PO:0OV:51
Matt DucheneAGE:31PO:0OV:73
Clayton KellerAGE:24PO:0OV:70
Cam AtkinsonAGE:33PO:0OV:70
Nic DowdAGE:32PO:0OV:68
Jack RoslovicAGE:25PO:0OV:68
Matt Boldy (R)AGE:21PO:0OV:67
Pierre EngvallAGE:26PO:0OV:66
Daniel SprongAGE:25PO:0OV:63
Nic PetanAGE:27PO:0OV:59
Nick MerkleyAGE:25PO:0OV:59
Cooper Marody (R)AGE:25PO:0OV:58
Sampo Ranta (R)AGE:22PO:0OV:57
Joseph BlandisiAGE:28PO:0OV:56
Nick CaamanoAGE:24PO:0OV:54

Defense #1Defense #2Goalie
Colton ParaykoAGE:29PO:0OV:69
Zach WerenskiAGE:25PO:0OV:69
Tony DeAngeloAGE:26PO:0OV:68
Travis HamonicAGE:32PO:0OV:67
Nicolas HagueAGE:23PO:0OV:66
Robert BortuzzoAGE:33PO:0OV:66
Erik GustafssonAGE:30PO:0OV:65
Kale Clague (R)AGE:24PO:0OV:62
Jacob Moverare (R)AGE:24PO:0OV:62
Markus Niemelainen (R)AGE:24PO:0OV:62
Vladislav Kolyachonok (R)AGE:21PO:0OV:61
Nils Lundkvist (R)AGE:22PO:0OV:60
Ryan StantonAGE:33PO:0OV:57
Leon GawankeAGE:23PO:0OV:56
Thomas SchemitschAGE:25PO:0OV:56
Markus PhillipsAGE:23PO:0OV:54
Joe MasoniusAGE:25PO:0OV:54
Xavier BouchardAGE:22PO:0OV:54
Jacob FriendAGE:25PO:0OV:53
Xavier BernardAGE:22PO:0OV:52
Mikko KoskinenAGE:34PO:0OV:69
Antti RaantaAGE:33PO:0OV:65
Dan Vladar (R)AGE:25PO:0OV:63
Andrew HammondAGE:34PO:0OV:59
Calvin PickardAGE:30PO:0OV:59
Joseph Woll (R)AGE:24PO:0OV:57
Colton Point (R)AGE:24PO:0OV:52

Prospects

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Adam MascherinBlues
Aku RatyBlues
Albin GreweBlues
Alex GagneBlues
Alexander KhovanovBlues
Arturs SilovsBlues
Ben HemmerlingBlues
Blade JenkinsBlues
Blake MurrayBlues
Bulat ShafigullinBlues
Cade LittlerBlues
Cameron WhynotBlues
Chandler RomeoBlues
Chase PearsonBlues
Cole BradyBlues
Connor CorcoranBlues
Dmitry ZavgorodniyBlues
Eetu TuulolaBlues
Erik FoleyBlues
Evan VierlingBlues
Filip KralBlues
Grant MismashBlues
Harrison BlaisdellBlues
Henrik TikkanenBlues
Hugo GabrielsonBlues
Hunter FejesBlues
Isaiah GeorgeBlues
Ivan LodniaBlues
Jacob InghamBlues
Jacob KucharskiBlues
Jacob PaquetteBlues
Jamieson ReesBlues
Joel Ratkovic BerndtssonBlues
John NybergBlues
Jonatan BerggrenBlues
Josh EssBlues
Julien PelletierBlues
Juuso ParssinenBlues
Keean WashkurakBlues
Linus WeissbachBlues
Lucas CionaBlues
Marshall WarrenBlues
Martin PospisilBlues
Martin RewayBlues
Mason McDonaldBlues
Maxence GuenetteBlues
Maximus WannerBlues
Olen ZellwegerBlues
Oscar PlandowskiBlues
Owen PickeringBlues
Pascal LabergeBlues
Radovan BondraBlues
Rhett PitlickBlues
Riley HughesBlues
Rodion AmirovBlues
Ryan HealeyBlues
Ryan MastBlues
Ryan OlsenBlues
Stephen DesrocherBlues
Tuukka TieksolaBlues
Tyler WeissBlues
Vaclav KarabacekBlues
William BittenBlues
Zayde WisdomBlues

Draft Picks

Year R1R2R3R4R5R6R7
23
24
25
26
27






Blues Trade History

[04.12.2022 20:38:37] - Blues hired Craig Berube for 10 000 Kč for 1 year(s).
[18.11.2022 2:12:12] - Calvin Pickard signed with Blues for 800 000 Kč for 2 year(s).
[18.11.2022 2:12:12] - Calvin Pickard was added to Blues.
[18.11.2022 2:12:05] - Erik Gustafsson signed with Blues for 1 000 000 Kč for 2 year(s).
[18.11.2022 2:12:05] - Erik Gustafsson was added to Blues.
[18.11.2022 2:11:57] - Antti Raanta signed with Blues for 2 000 000 Kč for 3 year(s).
[18.11.2022 2:11:57] - Antti Raanta was added to Blues.
[09.11.2022 15:18:10] - Joel Ratkovic Berndtsson has been added to Blues.
[09.11.2022 15:18:10] - Cade Littler has been added to Blues.
[09.11.2022 15:18:10] - Ben Hemmerling has been added to Blues.
[09.11.2022 15:18:10] - Ryan Healey has been added to Blues.
[09.11.2022 15:18:10] - Isaiah George has been added to Blues.
[09.11.2022 15:18:10] - Owen Pickering has been added to Blues.



[03.02.2023 23:27:53] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[02.02.2023 23:06:08] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[02.02.2023 23:05:27] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[01.02.2023 22:45:01] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[01.02.2023 22:44:33] Auto Lines Partial Function has been run for Blues.
[01.02.2023 22:44:33] Auto Roster Partial Function has been run for Blues.
[31.01.2023 22:57:02] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[31.01.2023 22:57:02] Last 30 Days Pro Star : 1 - Ryan Hartman of Stars (11-9-20) / 2 - Filip Forsberg of Stars (8-16-24) / 3 - Auston Matthews of Blues (11-9-20)
[31.01.2023 22:56:54] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[29.01.2023 22:25:16] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[29.01.2023 22:25:11] Auto Lines Partial Function has been run for Blues.
[29.01.2023 22:25:11] Auto Roster Partial Function has been run for Blues.
[27.01.2023 23:02:01] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[27.01.2023 22:59:26] Auto Lines Partial Function has been run for Blues.
[27.01.2023 22:59:26] Auto Roster Partial Function has been run for Blues.
[25.01.2023 22:37:42] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[25.01.2023 22:37:34] Auto Lines Partial Function has been run for Blues.
[25.01.2023 22:37:33] Auto Roster Partial Function has been run for Blues.
[23.01.2023 21:33:31] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[23.01.2023 21:24:17] Successfully loaded Blues lines done with STHS Client - 3.3.5.5
[22.01.2023 21:44:29] Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased. But, Blues lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[22.01.2023 21:44:22] Successfully loaded Blues lines done with Web Base Client and SQLite Database.
[19.01.2023 21:36:32] Both Blues and Springfield Thunderbirds lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.


Blues Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blues Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Blues Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Blues Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Blues Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA