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Blues
GP: 82 | W: 44 | L: 30 | OTL: 8 | P: 96
GF: 269 | GA: 269 | PP%: 16.81% | PK%: 77.66%
GM : Daniel Duchesne | Morale : 67 | Team Overall : 66
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Game Center
Flames
31-42-9, 71pts
3
FINAL
4 Blues
44-30-8, 96pts
Team Stats
W1StreakL1
16-24-1Home Record25-12-4
15-18-8Home Record19-18-4
4-5-1Last 10 Games5-4-1
2.93Goals Per Game3.28
3.51Goals Against Per Game3.28
15.32%Power Play Percentage16.81%
79.52%Penalty Kill Percentage77.66%
Blues
44-30-8, 96pts
2
FINAL
5 Capitals
43-33-6, 92pts
Team Stats
L1StreakW1
25-12-4Home Record23-16-2
19-18-4Home Record20-17-4
5-4-1Last 10 Games7-2-1
3.28Goals Per Game3.16
3.28Goals Against Per Game3.21
16.81%Power Play Percentage18.85%
77.66%Penalty Kill Percentage84.30%
Team Leaders
Goals
Nicolas Roy
42
Assists
Austin Czarnik
58
Points
Nicolas Roy
91
Plus/Minus
Nicolas Roy
30
Wins
Malcolm Subban
41
Save Percentage
Malcolm Subban
0.911

Team Stats
Goals For
269
3.28 GFG
Shots For
2561
31.23 Avg
Power Play Percentage
16.8%
40 GF
Offensive Zone Start
36.1%
Goals Against
269
3.28 GAA
Shots Against
2695
32.87 Avg
Penalty Kill Percentage
77.7%%
61 GA
Defensive Zone Start
39.8%
Team Info

General ManagerDaniel Duchesne
CoachDave Cameron
DivisionCentrale
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,950
Season Tickets1,800


Roster Info

Pro Team39
Farm Team18
Contract Limit57 / 60
Prospects25


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
1Austin Czarnik (R)X100.0063408175698277907391836625707967777403132,000,000$
2Nicolas Roy (R)X100.007745797885878481838176772578766480740271800,000$
3Tomas Hyka (R)X100.0072545478675287963596885550786534797403132,000,000$
4Drake Caggiula (R)X100.0077448571765682864784816955798430687302911,500,000$
5Kirby Dach (R)X100.0070556976908781826278747125786654797202332,000,000$
6Yakov Trenin (R)X100.0082557177838683805072727425786654807102731,500,000$
7Lukas Sedlak (R)X100.006945797381847770716563702570796773670313700,000$
8Kevin Roy (R)X100.004837857368639972467069665181654880670303600,000$
9Logan Shaw (R)X100.008581876677646564786561685982726225640313575,000$
10Dmytro Timashov (R)X100.006920996871798457566060626876735080630273575,000$
11Matthew Highmore (R)X100.005640697061666765667066612576726179630283575,000$
12Kenny Agostino (R)X100.008249676574548864516456646170673579620322575,000$
13Braden Schneider (R)X100.007860897788847877407366782574594979732223925,000$
14Jaycob Megna (R)X100.0071557871888782724071627625697967767103131,500,000$
15Nils Lundkvist (R)X100.006850778080857677406969702576594969702233925,000$
16Nick Blankenburg (R)X100.006745777973886873406966712574594972692253825,000$
17Jake Christiansen (R)X100.006240827582846868406459662568594973662243925,000$
18Wyatt Kalynuk (R)X100.006233997273787958305961655472734865650271925,000$
Scratches
1Maksim Sushko (R)X100.004825996575768272676870586367696634650251775,000$
2Garrett Pilon (R)X100.008270696872626154807066635970686120620261750,000$
3Nolan Foote (R)X100.006445706966626264437268602565685019620231863,333$
4Justin Danforth (R)X100.005540757374846367506162622567585020622313750,000$
5John Quenneville (R)X100.004429996674748058725756686378756619610283575,000$
6Maxim Letunov (R)X100.004526997374707956715449686374716919600283575,000$
7Trey Fix-Wolansky (R)X100.005440667156636469456664572568525020602243750,000$
8Carson Meyer (R)X100.006040656961626161426154602561535020570262750,000$
9Jonathan Gruden (R)X100.005459637059626262586059522564515019572243788,333$
10Luke Witkowski (R)X100.008969606278687361565854686592884041660343700,000$
11Marc-Andre GragnaniX100.0072996675607158695341905199961820640371575,000$
12Gustav Olofsson (R)X100.006140996776626870306759672558585118630292575,000$
13Paul LaDue (R)X100.005315956775616672307168635865633220630313575,000$
14Dillon Heatherington (R)X100.006646626271676862405854732565616220620292575,000$
15Adam Clendening (R)X100.006556606573439356304535715279796119610313575,000$
16Adam Ginning (R)X100.006946627066626363406054692562515020612243883,750$
17Austin Strand (R)X100.007142846579606267256965562548485420600271771,500$
18Dmitri Samorukov (R)X100.006040707064636464406054672563525020602243775,000$
TEAM AVERAGE100.00644478717470746951676367397267524765
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
1Malcolm Subban (R)100.008282807880999999998278838762818603012,000,000$
2Spencer Martin (R)100.008285868087837978818556807871408002821,000,000$
Scratches
1Ivan Prosvetov (R)100.00748083777882787776737266705670750251809,167$
TEAM AVERAGE100.0079828378828885858580697678636480
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dave Cameron72626747857257CAN641800,000$


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
1Nicolas RoyBlues (STL)RW824249913085351961552497715516.87%53169720.711011213319212371946149.78%2276221101.07112232497
2Austin CzarnikBlues (STL)C622558831730101061702215614011.31%28131121.15612182915321361835149.83%17702625001.2719002665
3Drake CaggiulaBlues (STL)LW792946753035151441162387512712.18%38152319.28512173219910141033638.71%1244624000.9815003445
4Tomas HykaBlues (STL)RW823037674169651931182908315810.34%35154418.833581916801161205231.20%1256219010.87511454801
5Kirby DachBlues (STL)C8227366314133551321732155713412.56%35143717.547714181700000122244.23%15422533000.8805236416
6Kevin RoyBlues (STL)RW82302454110047842075414214.49%30107413.10011017000014249.28%694328011.0101000354
7Yakov TreninBlues (STL)LW82222042-3103551641191726810712.79%33140817.1845919155000083140.43%943435000.6003335323
8Lukas SedlakBlues (STL)C78162036-23210144144173581069.25%35113114.510330530003384048.46%8442014000.6400101522
9Nick BlankenburgBlues (STL)D775212644210781317941426.33%83159920.7810121310002126100%12952000.3300101000
10Jaycob MegnaBlues (STL)D8242125-581451201477528405.33%111197324.06358112280000246100%01962000.2500234001
11Nils LundkvistBlues (STL)D6731821465251001149842453.06%78147722.0510141250001149100%02758000.2811221000
12Matthew HighmoreBlues (STL)C829918-1618058649234769.78%167058.61011040001140043.09%3761910000.5100000311
13Jake ChristiansenBlues (STL)D770171724631554945928160%75134617.49000460000046000%0853000.2500102002
14Dmytro TimashovBlues (STL)LW826915420957753153711.32%22101012.32000010000112137.50%48814000.3024000020
15Braden SchneiderBlues (STL)D6001515-28050731149039330%80139423.2403371600001159000%03050000.2200604000
16Wyatt KalynukBlues (STL)D730141416151541694114160%56114815.7300001000057000%01235000.2401111000
17Kenny AgostinoBlues (STL)LW82549-1314090484272911.90%116838.34000030000730041.18%1757000.2602000002
18Maksim SushkoBlues (STL)RW46448-8006268118374.94%94028.74000030002410058.54%41163000.4000000000
19Logan ShawBlues (STL)RW36347-61010232925112112.00%83078.53000000001390154.55%11115000.4611002001
20Luke WitkowskiBlues (STL)D5305511115591733417120%4993517.66000141000157000%0326000.1101542000
21Garrett PilonBlues (STL)C202133402815154813.33%71718.5600000000001058.90%7343000.3500000000
22Maxim LetunovBlues (STL)C41011001341025.00%0317.9800000000020063.64%1110000.6300000000
23Nolan FooteBlues (STL)LW3011-220737060%13913.160000000000000%110000.5100000000
24Dillon HeatheringtonBlues (STL)D1000-100111000%31414.220000000001000%00000000000000
25Gustav OlofssonBlues (STL)D2000-300100000%32713.630000000000000%00000000000000
Team Total or Average1476263433696921104470199320872561827148710.27%8992439816.5340651051791873448351691381746.74%5374511577120.571256302440403240
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
1Malcolm SubbanBlues (STL)68411950.9112.903973401922148901320.818446418585
2Spencer MartinBlues (STL)82500.8315.463740034201940000817000
3Ivan ProsvetovBlues (STL)121630.8983.246482035344154000.545111047010
Team Total or Average88443080.9033.144996602612693114932558282595


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam ClendeningBlues (STL)D311992-10-26 05:11:13Yes196 Lbs6 ft0NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Adam GinningBlues (STL)D242000-01-13 05:49:08Yes196 Lbs6 ft3NoNoN/ANoNo3Pro & Farm883,750$0$0$No883,750$883,750$-------NoNo-------
Austin CzarnikBlues (STL)C311992-12-12 09:09:24Yes170 Lbs5 ft9NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Austin StrandBlues (STL)D271997-02-17 13:11:19Yes216 Lbs6 ft4NoNoN/ANoNo1Pro & Farm771,500$0$0$No------------------
Braden SchneiderBlues (STL)D222001-09-20 05:51:08Yes208 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Carson MeyerBlues (STL)RW261997-08-18 10:28:02Yes181 Lbs5 ft11NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Dillon HeatheringtonBlues (STL)D291995-05-09 08:01:04Yes220 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Dmitri SamorukovBlues (STL)D241999-06-16 05:53:14Yes187 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$0$0$No775,000$775,000$-------NoNo-------
Dmytro TimashovBlues (STL)LW271996-10-01 01:52:21Yes187 Lbs5 ft10NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Drake CaggiulaBlues (STL)LW291994-06-20 09:04:53Yes176 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------
Garrett PilonBlues (STL)C261998-04-13 14:43:50Yes187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Gustav OlofssonBlues (STL)D291994-11-30 12:34:40Yes198 Lbs6 ft2NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Ivan ProsvetovBlues (STL)G251999-03-05 14:46:51Yes174 Lbs6 ft5NoNoN/ANoNo1Pro & Farm809,167$0$0$No------------------
Jake ChristiansenBlues (STL)D241999-09-12 03:40:14Yes193 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Jaycob MegnaBlues (STL)D311992-12-10 13:13:17Yes220 Lbs6 ft6NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
John QuennevilleBlues (STL)RW281996-04-16 03:53:59Yes195 Lbs6 ft1NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Jonathan GrudenBlues (STL)LW242000-05-04 05:55:07Yes172 Lbs6 ft0NoNoN/ANoNo3Pro & Farm788,333$0$0$No788,333$788,333$-------NoNo-------
Justin DanforthBlues (STL)RW311993-03-15 05:57:01Yes190 Lbs5 ft9NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Kenny AgostinoBlues (STL)LW321992-04-30 03:56:04Yes199 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Kevin RoyBlues (STL)RW301993-05-20 09:32:15Yes170 Lbs5 ft9NoNoN/ANoNo3Pro & Farm600,000$0$0$No600,000$600,000$-------NoNo-------
Kirby DachBlues (STL)C232001-01-21 01:49:17Yes212 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Logan ShawBlues (STL)RW311992-10-05 12:38:48Yes204 Lbs6 ft3NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Lukas SedlakBlues (STL)C311993-02-25 03:54:42Yes205 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Luke WitkowskiBlues (STL)D341990-04-14 17:11:13Yes210 Lbs6 ft2NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Maksim SushkoBlues (STL)RW251999-02-10 14:49:46Yes198 Lbs6 ft0NoNoN/ANoNo1Pro & Farm775,000$0$0$No------------------
Malcolm SubbanBlues (STL)G301993-12-21 12:40:46Yes200 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Marc-Andre GragnaniBlues (STL)D371987-03-11 23:11:13No195 Lbs6 ft1NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Matthew HighmoreBlues (STL)C281996-02-27 03:58:58Yes187 Lbs5 ft11NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Maxim LetunovBlues (STL)C281996-02-20 01:46:09Yes185 Lbs6 ft4NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Nick BlankenburgBlues (STL)D251998-05-12 03:48:18Yes177 Lbs5 ft9NoNoN/ANoNo3Pro & Farm825,000$0$0$No825,000$825,000$-------NoNo-------
Nicolas RoyBlues (STL)RW271997-02-05 11:36:36Yes202 Lbs6 ft4NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------
Nils LundkvistBlues (STL)D232000-07-27 05:58:41Yes190 Lbs5 ft11NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Nolan FooteBlues (STL)LW232000-11-29 14:53:20Yes196 Lbs6 ft3NoNoN/ANoNo1Pro & Farm863,333$0$0$No------------------
Paul LaDueBlues (STL)D311992-09-06 08:46:42Yes200 Lbs6 ft2NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Spencer MartinBlues (STL)G281995-06-08 05:53:37Yes191 Lbs6 ft3NoNoTrade2024-03-03NoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Tomas HykaBlues (STL)RW311993-03-23 13:27:01Yes160 Lbs5 ft11NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Trey Fix-WolanskyBlues (STL)RW241999-05-26 03:16:15Yes179 Lbs5 ft7NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Wyatt KalynukBlues (STL)D271997-04-14 04:11:48Yes181 Lbs6 ft1NoNoN/ANoNo1Pro & Farm925,000$0$0$No------------------
Yakov TreninBlues (STL)LW271997-01-13 01:40:29Yes201 Lbs6 ft2NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3927.77193 Lbs6 ft12.36918,361$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaAustin CzarnikNicolas Roy35122
2Yakov TreninKirby DachTomas Hyka35122
3Dmytro TimashovLukas SedlakKevin Roy25122
4Kenny AgostinoMatthew HighmoreLogan Shaw5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Braden SchneiderJaycob Megna35122
2Nils LundkvistNick Blankenburg35122
3Jake ChristiansenWyatt Kalynuk30122
4Braden SchneiderJaycob Megna0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaAustin CzarnikNicolas Roy60122
2Yakov TreninKirby DachTomas Hyka40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Braden SchneiderJaycob Megna60122
2Nils LundkvistNick Blankenburg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Austin CzarnikNicolas Roy60122
2Tomas HykaDrake Caggiula40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Braden SchneiderJaycob Megna60122
2Nils LundkvistNick Blankenburg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Austin Czarnik60122Braden SchneiderJaycob Megna60122
2Nicolas Roy40122Nils LundkvistNick Blankenburg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Austin CzarnikNicolas Roy60122
2Tomas HykaDrake Caggiula40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Braden SchneiderJaycob Megna60122
2Nils LundkvistNick Blankenburg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaAustin CzarnikNicolas RoyBraden SchneiderJaycob Megna
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaAustin CzarnikNicolas RoyBraden SchneiderJaycob Megna
Extra Forwards
Normal PowerPlayPenalty Kill
Lukas Sedlak, Kevin Roy, Logan ShawLukas Sedlak, Kevin RoyLogan Shaw
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Christiansen, Wyatt Kalynuk, Nils LundkvistJake ChristiansenWyatt Kalynuk, Nils Lundkvist
Penalty Shots
Austin Czarnik, Nicolas Roy, Tomas Hyka, Drake Caggiula, Kirby Dach
Goalie
#1 : Malcolm Subban, #2 : Spencer Martin
Custom OT Lines Forwards
Austin Czarnik, Nicolas Roy, Tomas Hyka, Drake Caggiula, Kirby Dach, Yakov Trenin, Yakov Trenin, Lukas Sedlak, Kevin Roy, Logan Shaw, Matthew Highmore
Custom OT Lines Defensemen
Braden Schneider, Jaycob Megna, Nils Lundkvist, Nick Blankenburg, Jake Christiansen


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
1Avalanche522010001619-3311010001012-22110000067-160.6001624400079918520141838853834911756113612817317.65%33584.85%1901191447.07%995211247.11%616127948.16%171398718657491424695
2Blackhawks52201000151323200100012752020000036-360.6001527420079918520152838853834911575011313325520.00%25484.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
3Bruins31100010910-11010000036-32100001064240.667910190079918520898388538349110232464500.00%2150.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
4Canadiens320000011257110000007162100000154150.833122032007991852095838853834911094241678225.00%80100.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
5Canucks31200000917-821100000710-31010000027-520.3339162500799185208583885383491933483669222.22%13653.85%0901191447.07%995211247.11%616127948.16%171398718657491424695
6Capitals3120000068-2110000003122020000037-420.333681410799185201098388538349111033686400.00%30100.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
7Devils311000011011-11000000156-12110000055030.50010152500799185207983885383491111312769300.00%6183.33%0901191447.07%995211247.11%616127948.16%171398718657491424695
8Ducks30201000910-1201010005501010000045-120.33391726007991852087838853834918136347314214.29%7442.86%0901191447.07%995211247.11%616127948.16%171398718657491424695
9Flames320000101165100000104312200000073461.00011193000799185209683885383491944732594125.00%11463.64%0901191447.07%995211247.11%616127948.16%171398718657491424695
10Flyers31100100981110000004132010010057-230.500918270079918520958388538349199326703266.67%30100.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
11Islanders31000002910-1210000017701000000123-140.66791221007991852011183885383491982615774250.00%50100.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
12Kings312000001012-21010000035-22110000077020.33310162600799185208683885383491993123724125.00%9277.78%1901191447.07%995211247.11%616127948.16%171398718657491424695
13Maple Leafs3110001014131110000007522010001078-140.66714223600799185209783885383491116308622150.00%4175.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
14Oilers310011001293210001009721000100032150.83312172900799185209883885383491992246721119.09%17570.59%1901191447.07%995211247.11%616127948.16%171398718657491424695
15Penguins32100000761110000003212110000044040.6677101710799185208683885383491843320586116.67%5260.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
16Predators53100001191542110000045-1320000011510570.7001933520079918520150838853834911436715111229620.69%28775.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
17Rangers320010001394110000006422100100075261.000132134007991852010383885383491100301786500.00%6183.33%0901191447.07%995211247.11%616127948.16%171398718657491424695
18Red Wings30001020131031000001032120001010108261.000131932007991852010083885383491117353477400.00%7185.71%0901191447.07%995211247.11%616127948.16%171398718657491424695
19Sabres51400000918-941300000815-71010000013-220.2009172600799185201588388538349116451431238112.50%9366.67%0901191447.07%995211247.11%616127948.16%171398718657491424695
20Senateurs32100000972211000006601100000031240.667913220079918520107838853834911002926758112.50%8275.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
21Sharks30101001810-2200010015501010000035-230.5008142200799185209183885383491934540759111.11%10280.00%0901191447.07%995211247.11%616127948.16%171398718657491424695
22Stars624000002528-3321000001614230300000914-540.3332540650079918520194838853834912084912616330620.00%33778.79%1901191447.07%995211247.11%616127948.16%171398718657491424695
23Wild5120101015150311010008802010001077060.60015254000799185201528388538349114353791262627.69%21385.71%0901191447.07%995211247.11%616127948.16%171398718657491424695
Total82303008266269269041181205123145137841121803143124132-8960.58526943370220799185202561838853834912695899111019932384016.81%2736177.66%4901191447.07%995211247.11%616127948.16%171398718657491424695
_Since Last GM Reset82303008266269269041181205123145137841121803143124132-8960.58526943370220799185202561838853834912695899111019932384016.81%2736177.66%4901191447.07%995211247.11%616127948.16%171398718657491424695
_Vs Conference44151806122149154-52497051118381220611010116673-7490.5571492483970079918520133283885383491138549586310791783016.85%2074976.33%4901191447.07%995211247.11%616127948.16%171398718657491424695
_Vs Division2610110301190900147403000504641237000114044-4290.558901492390079918520789838853834918262806056621272217.32%1402681.43%2901191447.07%995211247.11%616127948.16%171398718657491424695

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8296L1269433702256126958991110199320
All Games
GPWLOTWOTL SOWSOLGFGA
8230308266269269
Home Games
GPWLOTWOTL SOWSOLGFGA
4118125123145137
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4112183143124132
Last 10 Games
WLOTWOTL SOWSOL
540001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2384016.81%2736177.66%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8388538349179918520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
901191447.07%995211247.11%616127948.16%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
171398718657491424695


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
29Sabres5Blues3BLBoxScore
425Blues3Penguins1AWBoxScore
532Canucks3Blues4BWR2BoxScore
846Blues3Flames1AWR2BoxScore
1059Sabres4Blues2BLBoxScore
1160Blues5Predators4AWBoxScore
1578Wild1Blues2BWXR5BoxScore
19100Blackhawks2Blues5BWBoxScore
21109Blues3Canadiens1AWBoxScore
23122Blues2Flyers3ALXBoxScore
24128Blues4Stars5ALBoxScore
26137Avalanche4Blues5BWR5BoxScore
29152Blues2Blackhawks4ALBoxScore
30162Stars6Blues5BLBoxScore
33173Blues5Red Wings4AWXXBoxScore
35185Sharks4Blues3BLXXR2BoxScore
38198Blues3Kings1AWBoxScore
40209Blackhawks2Blues3BWBoxScore
42220Blues2Islanders3ALXXBoxScore
44229Blues4Flames2AWR2BoxScore
45238Canucks7Blues3BLBoxScore
48251Blues3Senateurs1AWBoxScore
50259Flyers1Blues4BWBoxScore
52275Blues3Oilers2AWXBoxScore
54283Kings5Blues3BLR2BoxScore
56298Blues2Canadiens3ALXXBoxScore
57306Canadiens1Blues7BWBoxScore
61322Blues2Stars4ALBoxScore
63333Red Wings2Blues3BWXXBoxScore
65343Blues1Penguins3ALBoxScore
67355Capitals1Blues3BWBoxScore
69369Blues1Sabres3ALBoxScore
71379Sabres1Blues2BWBoxScore
75397Ducks2Blues3BWXR2BoxScore
79413Blues2Canucks7ALR2BoxScore
81418Blues1Blackhawks2ALBoxScore
82428Sharks1Blues2BWXR2BoxScore
85443Blues5Red Wings4AWXBoxScore
87450Blackhawks3Blues4BWXBoxScore
89458Blues3Flyers4ALBoxScore
92475Oilers2Blues5BWBoxScore
96493Rangers4Blues6BWBoxScore
98503Blues7Predators2AWBoxScore
100516Devils6Blues5BLXXBoxScore
102529Blues3Sharks5ALR2BoxScore
104541Predators3Blues1BLBoxScore
109560Predators2Blues3BWBoxScore
113579Blues4Kings6ALR2BoxScore
115586Penguins2Blues3BWBoxScore
118606Sabres5Blues1BLBoxScore
121619Blues3Stars5ALBoxScore
122630Avalanche3Blues4BWXR5BoxScore
125645Blues1Devils3ALBoxScore
127654Stars4Blues5BWBoxScore
129664Blues5Avalanche2AWR5BoxScore
132678Senateurs4Blues3BLBoxScore
135691Blues3Bruins2AWBoxScore
136700Blues1Avalanche5ALR5BoxScore
138707Stars4Blues6BWBoxScore
141725Wild1Blues2BWR5BoxScore
144739Blues4Ducks5ALBoxScore
146750Senateurs2Blues3BWBoxScore
148764Blues4Devils2AWBoxScore
151775Ducks3Blues2BLR2BoxScore
153791Blues3Rangers2AWBoxScore
154798Wild6Blues4BLR5BoxScore
156804Blues4Wild3AWXXBoxScore
158819Oilers5Blues4BLXBoxScore
160827Blues3Wild4ALR5BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163846Bruins6Blues3BLBoxScore
165857Blues3Predators4ALXXBoxScore
167867Blues5Maple Leafs4AWXXBoxScore
168874Islanders3Blues4BWBoxScore
170887Blues4Rangers3AWXBoxScore
172899Islanders4Blues3BLXXBoxScore
174908Blues1Capitals2ALBoxScore
175915Blues2Maple Leafs4ALBoxScore
177926Avalanche5Blues1BLR5BoxScore
179931Blues3Bruins2AWXXBoxScore
183953Maple Leafs5Blues7BWBoxScore
189967Flames3Blues4BWXXR2BoxScore
190974Blues2Capitals5ALBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance80,85740,108
Attendance PCT98.61%97.82%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2950 - 98.35% 126,198$5,174,138$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
4,411,563$ 3,581,608$ 2,021,608$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 3,611,578$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 22,703$ 0$




Blues Players 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 Players 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