Dogbones

GP: 44 | W: 17 | L: 18 | OTL: 9 | P: 43
GF: 103 | GA: 116 | PP%: 19.01% | PK%: 77.24%
GM : Nico Crisafi | Morale : 32 | Team Overall : 77
Next Games #439 vs Bulldogs
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Vladimir TarasenkoX99.00806995918885898650838879797887043800
2Reilly SmithX100.00716492868083748650878589777782040790
3Johnny GaudreauX100.00545893937785898950938467727481043780
4Sean Monahan (C)X100.00696793838184828686848875897586042780
5Patrick MarleauXX100.00796895928982898070758575809992040780
6Jack Eichel (A)X100.00746490848286758769878769657180043770
7Brock Boeser (R)X100.00696694868383688750839072776876021760
8Boone JennerX100.00937289848882817675767587627485040760
9Jake Debrusk (R)XX100.00786294867880748153827978696973034750
10Adam LowryX100.00947296858880487779787690577375014750
11Chris Tierney (R)XX100.00646197867982897881777881757577043750
12Justin BraunX100.00897292838687927450806789508185045790
13Josh MansonX100.00927583808786907550816991557377052790
14Mattias EkholmX100.00776988858789947550787290547884046790
15Matt Dumba (A)X99.00886789928189957950837581597481039790
16Adam LarssonX100.00977288828887726850696788507682044770
17Jacob TroubaX100.00877587918587637450816685507478044760
18Luke SchennX100.00968488809482696550676378508180044750
Scratches
1Jay BeagleX100.00767195788778837088716988528179034730
2Brendan Perlini (R)X100.00806992848680797550707974686972057720
TEAM AVERAGE99.9080699286858480786079778165768104077
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 SP
1Roberto Luongo100.0076748291757777797877769993041790
2Jacob Markstrom (R)100.0076868990757778767879787277043770
3Linus Ullmark (R)100.0071596993686972717367706668058700
Scratches
TEAM AVERAGE100.007473809173747675767475797904775
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gérard Gallant81879296777399USA555605,000$


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 NamePOS GP 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
1Sean MonahanDogbonesC4493140-33715508610740738.41%2489620.3631417131191012251152.33%10722018000.8903012032
2Vladimir TarasenkoDogbonesRW44201838-811567521875310610.70%19105924.087815291230001652238.25%1835220000.72312001212
3Johnny GaudreauDogbonesLW44142236-260425216546898.48%1987719.956814291240220220239.44%713414000.8218000133
4Reilly SmithDogbonesRW4481220-4155676512747566.30%1787719.9513457901141002032.50%401916000.46212010102
5Jack EichelDogbonesC44109197140497093296210.75%2373316.671235601011103051.98%5041112000.5200000131
6Patrick MarleauDogbonesC/LW4471219-27551679837617.14%1481418.5114561110002271152.37%3593114010.4713010301
7Josh MansonDogbonesD4421315-11711567685228213.85%59103323.481459138000091010.00%01249000.2900300120
8Brock BoeserDogbonesRW356713380402410528455.71%1049414.12011429101220045.00%201815000.5312000011
9Matt DumbaDogbonesD444913-729558546817245.88%4793621.2822412116011159000.00%02032000.2800010100
10Boone JennerDogbonesLW447512-631558537721329.09%1371016.152134500000282148.39%311420000.3400010012
11Chris TierneyDogbonesC/LW44471104035377821295.13%1355412.60000010000270151.75%1141411000.4000000020
12Adam LarssonDogbonesD440553155524018880.00%3362014.1100007000017000.00%0020000.1600001000
13Mattias EkholmDogbonesD44055-431537624311160.00%5487619.91011593000065000.00%0722000.1100100000
14Justin BraunDogbonesD44314-9241077964324166.98%65113225.7330351170001109010.00%01134000.0700002101
15Jay BeagleDogbonesC27213-5401621122516.67%62147.95000010001450052.63%13304000.2800000100
16Jacob TroubaDogbonesD440339235304215840.00%3359913.6200000000048000.00%0724000.1000001000
17Adam LowryDogbonesC18033-920111511280.00%41669.23000000001120046.05%7632000.3600000000
18Brendan PerliniDogbonesLW18022100788470.00%41216.75000000001110083.33%653000.3300000000
19Jake DebruskDogbonesLW/RW28101-80016174910322.04%828410.17000030001230038.46%13102000.0700000000
20Luke SchennDogbonesD44011-27512124210.00%71693.8400000000012000.00%004000.1200001000
21Stefan NoesenWarriors (DBS)RW6000000564210.00%0355.990000100000000.00%010000.0000000000
Team Total or Average79297166263-573398584794713644406967.11%4721320816.68274875126118234718807111050.34%2622289336010.40840458121615
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
1Roberto LuongoDogbones35171260.9262.37215420851151578410.78437359715
2Jacob MarkstromDogbones90630.9212.615510024302164000.7147935200
Team Total or Average44171890.9252.422706201091453742410.773444444915


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam LarssonDogbonesD261993-03-22 15:26:19No205 Lbs6 ft3NoNoNo4ELCPro & Farm4,167,000$4,167,000$1,753,014$No
Adam LowryDogbonesC251994-03-22 21:26:19No210 Lbs6 ft5NoNoNo1ELCPro & Farm1,125,000$1,125,000$473,276$No
Boone JennerDogbonesLW251994-03-22 21:26:19No208 Lbs6 ft2NoNoNo1ELCPro Only2,900,000$2,900,000$1,220,000$No
Brendan PerliniDogbonesLW231996-04-27 06:09:46Yes211 Lbs6 ft3NoNoNo2ELCPro & Farm1,425,000$1,425,000$599,483$No
Brock BoeserDogbonesRW221997-02-25 06:14:45Yes208 Lbs6 ft1NoNoNo2ELCPro & Farm1,491,667$1,491,667$627,529$No
Chris TierneyDogbonesC/LW241995-03-23 03:26:19Yes195 Lbs6 ft1NoNoNo1ELCPro & Farm1,420,500$1,420,500$597,590$No
Jack EichelDogbonesC221997-03-22 15:26:19No206 Lbs6 ft2NoNoNo1ELCPro & Farm3,775,000$3,775,000$1,588,103$No
Jacob MarkstromDogbonesG281991-03-23 03:26:20Yes196 Lbs6 ft6NoNoNo1UFAPro Only2,750,000$2,750,000$1,156,897$No
Jacob TroubaDogbonesD241995-03-23 03:26:19No202 Lbs6 ft3NoNoNo1ELCPro Only3,000,000$3,000,000$1,262,069$No
Jake DebruskDogbonesLW/RW221996-10-17 06:20:14Yes188 Lbs6 ft0NoNoNo3ELCPro & Farm1,350,000$1,350,000$567,931$No
Jay BeagleDogbonesC331986-03-22 21:26:19No218 Lbs6 ft3YesNoNo1UFAPro & Farm1,900,000$1,900,000$799,310$No
Johnny GaudreauDogbonesLW251994-03-22 21:26:19No157 Lbs5 ft9NoNoNo5ELCPro Only6,750,000$6,750,000$2,839,655$No
Josh MansonDogbonesD271992-03-22 09:26:19No213 Lbs6 ft3NoNoNo1RFAPro & Farm825,000$825,000$347,069$No
Justin BraunDogbonesD311988-03-22 09:26:19No200 Lbs6 ft2YesNoNo3UFAPro Only3,800,000$3,800,000$1,598,621$No
Linus UllmarkDogbonesG251994-03-22 21:26:20Yes221 Lbs6 ft4NoNoNo2ELCPro & Farm925,000$925,000$389,138$No
Luke SchennDogbonesD291990-03-22 21:26:19No229 Lbs6 ft2YesNoNo1UFAPro Only550,000$550,000$231,379$No
Matt DumbaDogbonesD241995-03-23 03:26:19No183 Lbs6 ft0NoNoNo1ELCPro Only2,550,000$2,550,000$1,072,759$No
Mattias EkholmDogbonesD281991-03-23 03:26:19No215 Lbs6 ft4NoNoNo5UFAPro Only3,750,000$3,750,000$1,577,586$No
Patrick MarleauDogbonesC/LW391980-03-22 09:26:19No215 Lbs6 ft2YesNoNo3UFAPro Only6,900,000$6,900,000$2,902,759$No
Reilly SmithDogbonesRW271992-03-22 09:26:19No185 Lbs6 ft0NoNoNo1RFAPro Only3,750,000$3,750,000$1,577,586$No
Roberto LuongoDogbonesG391980-03-22 09:26:20No217 Lbs6 ft3NoNoNo2UFAPro Only3,150,000$3,150,000$1,325,172$No
Sean MonahanDogbonesC241995-03-23 03:26:19No195 Lbs6 ft3NoNoNo6ELCPro Only6,375,000$6,375,000$2,681,897$No
Vladimir TarasenkoDogbonesRW271992-03-22 09:26:19No219 Lbs6 ft0NoNoNo6RFAPro & Farm7,500,000$7,500,000$3,155,172$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.91204 Lbs6 ft22.353,136,051$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
72,129,167$47,583,667$40,592,000$28,542,000$24,375,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Johnny GaudreauPatrick MarleauVladimir Tarasenko40122
2Boone JennerSean MonahanReilly Smith30122
3Chris TierneyJack EichelBrock Boeser20122
4Jake DebruskAdam LowryVladimir Tarasenko10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJosh Manson40122
2Mattias EkholmJustin Braun30122
3Adam LarssonJacob Trouba20122
4Luke SchennMatt Dumba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Johnny GaudreauPatrick MarleauVladimir Tarasenko60122
2Boone JennerSean MonahanReilly Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJosh Manson60122
2Mattias EkholmJustin Braun40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vladimir TarasenkoReilly Smith60122
2Johnny GaudreauPatrick Marleau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJosh Manson60122
2Mattias EkholmJustin Braun40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vladimir Tarasenko60122Matt DumbaJosh Manson60122
2Reilly Smith40122Mattias EkholmJustin Braun40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Vladimir TarasenkoReilly Smith60122
2Johnny GaudreauPatrick Marleau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt DumbaJosh Manson60122
2Mattias EkholmJustin Braun40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Johnny GaudreauPatrick MarleauVladimir TarasenkoMatt DumbaJosh Manson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Johnny GaudreauPatrick MarleauVladimir TarasenkoMatt DumbaJosh Manson
Extra Forwards
Normal PowerPlayPenalty Kill
Jack Eichel, Brock Boeser, Chris TierneyJack Eichel, Brock BoeserChris Tierney
Extra Defensemen
Normal PowerPlayPenalty Kill
Adam Larsson, Jacob Trouba, Luke SchennAdam LarssonJacob Trouba, Luke Schenn
Penalty Shots
Vladimir Tarasenko, Reilly Smith, Johnny Gaudreau, Patrick Marleau, Sean Monahan
Goalie
#1 : Roberto Luongo, #2 : Jacob Markstrom, #3 : Linus Ullmark


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
1Bikers11000000211000000000001100000021121.000246001010291061302781020200.00%5180.00%049197150.57%499102048.92%33059855.18%2112209189
2Bulldogs21000001330000000000002100000133030.75035800021060132621657141434200.00%7185.71%049197150.57%499102048.92%33059855.18%412345193818
3Fighting Irish3030000038-52020000014-31010000024-200.000358101200107384821089363457800.00%12466.67%049197150.57%499102048.92%33059855.18%633765275126
4Gongshow31200000990110000005232020000047-320.3339172600036091293230011338145113430.77%7185.71%049197150.57%499102048.92%33059855.18%633767264924
5Icedogs412010001192211000006422010100055040.500111829002531133414842214735376517211.76%11190.91%149197150.57%499102048.92%33059855.18%884883367038
6LumberJacks31200000810-22110000067-11010000023-120.3338142200233087302334010242366017423.53%8275.00%049197150.57%499102048.92%33059855.18%623364275229
7Mariners10000010211000000000001000001021121.0002130001022941693297620400.00%30100.00%149197150.57%499102048.92%33059855.18%221121102110
8Nordiques412000101012-21100000042230200010610-440.50010152500225111843363871285230868112.50%10370.00%049197150.57%499102048.92%33059855.18%824688377337
9Oilers10000010321000000000001000001032121.000347000202291189536862522100.00%3166.67%049197150.57%499102048.92%33059855.18%20112310209
10Penguins412000101091211000006512010001044040.50010162600432112547384031304231801218.33%13192.31%049197150.57%499102048.92%33059855.18%885183367338
11Pirates31100010880210000106421010000024-240.66789170032211004233243932624737228.57%7185.71%049197150.57%499102048.92%33059855.18%643665285427
12Sens4110001116151200000117702110000098150.625162541005551125434339514644238215320.00%4175.00%049197150.57%499102048.92%33059855.18%875087347440
13Stallions3000010236-32000000224-21000010012-130.5003580003008727302610912514511119.09%70100.00%149197150.57%499102048.92%33059855.18%673665296030
14Storm50300101816-82010000137-43020010059-420.20081422003230147514649315747469812325.00%18761.11%049197150.57%499102048.92%33059855.18%10759107469146
15Tiringer31000101770310001017700000000000040.6677142100142097254427410948164512433.33%8450.00%049197150.57%499102048.92%33059855.18%643770275226
Total44101801366103116-132176001255353023312012415063-13430.48910316626910243933913644544774225114544723418471422719.01%1232877.24%349197150.57%499102048.92%33059855.18%947534960408802413
_Since Last GM Reset44101801366103116-132176001255353023312012415063-13430.48910316626910243933913644544774225114544723418471422719.01%1232877.24%349197150.57%499102048.92%33059855.18%947534960408802413
_Vs Conference21311011325162-11924000122124-31217011203038-8170.405518113210131816565922722919822703222176413621117.74%581770.69%149197150.57%499102048.92%33059855.18%450253456193383198
_Vs Division1426011223842-4612000121618-2814011102224-2130.46438619900101411443414614513915486134112270461021.74%361072.22%149197150.57%499102048.92%33059855.18%304170302127257134

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4443OTL21031662691364145447234184710
All Games
GPWLOTWOTL SOWSOLGFGA
4410181366103116
Home Games
GPWLOTWOTL SOWSOLGFGA
217601255353
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2331212415063
Last 10 Games
WLOTWOTL SOWSOL
230221
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1422719.01%1232877.24%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
454477422512439339
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
49197150.57%499102048.92%33059855.18%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
947534960408802413


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
1 - 2019-05-067Dogbones3Oilers2WXXBoxScore
2 - 2019-05-0712Sens4Dogbones5WXXBoxScore
4 - 2019-05-0921Dogbones3Storm4LBoxScore
6 - 2019-05-1135Icedogs2Dogbones5WBoxScore
9 - 2019-05-1449Dogbones4Sens6LBoxScore
10 - 2019-05-1551Dogbones1Nordiques2LBoxScore
12 - 2019-05-1762Tiringer1Dogbones3WBoxScore
14 - 2019-05-1977Stallions2Dogbones1LXXBoxScore
16 - 2019-05-2188Gongshow2Dogbones5WBoxScore
18 - 2019-05-2396Dogbones2Penguins3LBoxScore
20 - 2019-05-25104Dogbones2LumberJacks3LBoxScore
22 - 2019-05-27111Tiringer3Dogbones2LXXBoxScore
24 - 2019-05-29125Dogbones2Fighting Irish4LBoxScore
26 - 2019-05-31136Dogbones3Gongshow5LBoxScore
28 - 2019-06-02141Penguins3Dogbones1LBoxScore
30 - 2019-06-04157Icedogs2Dogbones1LBoxScore
33 - 2019-06-07168Stallions2Dogbones1LXXBoxScore
34 - 2019-06-08171Dogbones1Storm2LXBoxScore
37 - 2019-06-11190Dogbones2Pirates4LBoxScore
38 - 2019-06-12195Dogbones1Storm3LBoxScore
40 - 2019-06-14201Dogbones4Icedogs3WXBoxScore
42 - 2019-06-16211Fighting Irish2Dogbones0LBoxScore
44 - 2019-06-18221LumberJacks4Dogbones5WBoxScore
46 - 2019-06-20233Dogbones1Bulldogs2LXXBoxScore
48 - 2019-06-22241Nordiques2Dogbones4WBoxScore
50 - 2019-06-24252Dogbones4Nordiques3WXXBoxScore
52 - 2019-06-26262Storm4Dogbones3LXXBoxScore
54 - 2019-06-28278Pirates2Dogbones3WXXBoxScore
57 - 2019-07-01287Dogbones5Sens2WBoxScore
58 - 2019-07-02297Storm3Dogbones0LBoxScore
59 - 2019-07-03303Dogbones2Bulldogs1WBoxScore
60 - 2019-07-04313LumberJacks3Dogbones1LBoxScore
62 - 2019-07-06326Dogbones1Gongshow2LBoxScore
65 - 2019-07-09335Penguins2Dogbones5WBoxScore
66 - 2019-07-10346Fighting Irish2Dogbones1LBoxScore
68 - 2019-07-12358Dogbones2Bikers1WBoxScore
71 - 2019-07-15366Pirates2Dogbones3WBoxScore
72 - 2019-07-16372Dogbones2Mariners1WXXBoxScore
74 - 2019-07-18383Sens3Dogbones2LXXBoxScore
77 - 2019-07-21398Dogbones2Penguins1WXXBoxScore
78 - 2019-07-22400Dogbones1Icedogs2LBoxScore
80 - 2019-07-24413Dogbones1Nordiques5LBoxScore
82 - 2019-07-26421Tiringer3Dogbones2LXBoxScore
84 - 2019-07-28432Dogbones1Stallions2LXBoxScore
86 - 2019-07-30439Bulldogs-Dogbones-
87 - 2019-07-31455Bikers-Dogbones-
89 - 2019-08-02464Dogbones-Flash-
90 - 2019-08-03474Nordiques-Dogbones-
92 - 2019-08-05482Dogbones-Oilers-
93 - 2019-08-06493Mariners-Dogbones-
95 - 2019-08-08504Dogbones-Roadrunners-
96 - 2019-08-09513Dogbones-Pirates-
98 - 2019-08-11517Mariners-Dogbones-
99 - 2019-08-12528Dogbones-Stallions-
100 - 2019-08-13537Jokers-Dogbones-
102 - 2019-08-15546Dogbones-Roadrunners-
103 - 2019-08-16559Bulldogs-Dogbones-
104 - 2019-08-17566Dogbones-LumberJacks-
106 - 2019-08-19579Sens-Dogbones-
107 - 2019-08-20585Dogbones-Bikers-
109 - 2019-08-22598Jokers-Dogbones-
111 - 2019-08-24611Dogbones-Flash-
112 - 2019-08-25618Dogbones-Wolf-
114 - 2019-08-27624Icedogs-Dogbones-
116 - 2019-08-29637Dogbones-Wolf-
117 - 2019-08-30640Gongshow-Dogbones-
119 - 2019-09-01657Oilers-Dogbones-
120 - 2019-09-02663Dogbones-Oilers-
122 - 2019-09-04677Roadrunners-Dogbones-
123 - 2019-09-05684Dogbones-Mariners-
125 - 2019-09-07696Bikers-Dogbones-
126 - 2019-09-08702Dogbones-Jokers-
128 - 2019-09-10717Oilers-Dogbones-
Trade Deadline --- Trades can’t be done after this day is simulated!
131 - 2019-09-13733Roadrunners-Dogbones-
133 - 2019-09-15742Dogbones-Tiringer-
134 - 2019-09-16752Dogbones-Tiringer-
135 - 2019-09-17760Flash-Dogbones-
136 - 2019-09-18773Flash-Dogbones-
137 - 2019-09-19778Dogbones-Fighting Irish-
139 - 2019-09-21789Dogbones-Jokers-
140 - 2019-09-22799Wolf-Dogbones-
143 - 2019-09-25813Wolf-Dogbones-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity41004100400040001030
Ticket Price100755035195
Attendance79,97378,67180,59280,15520,250
Attendance PCT92.88%91.37%95.94%95.42%93.62%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
20 16173 - 93.87% 1,722,088$36,163,852$17230100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
40,963,568$ 72,129,167$ 55,862,167$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
497,443$ 40,613,113$ 0$ 23 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
34,441,764$ 61 501,615$ 30,598,515$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
31,081,557$ 70,957,136$ 2,365,263$ 5,725,470$



Depth Chart

Left WingCenterRight Wing
Johnny GaudreauAGE:25PO:0OV:78
Patrick MarleauAGE:39PO:0OV:78
Boone JennerAGE:25PO:0OV:76
*Jake DebruskAGE:22PO:0OV:75
*Chris TierneyAGE:24PO:0OV:75
*Brendan PerliniAGE:23PO:0OV:72
Matt HendricksAGE:36PO:0OV:71
Sean MonahanAGE:24PO:0OV:78
Patrick MarleauAGE:39PO:0OV:78
Jack EichelAGE:22PO:0OV:77
Adam LowryAGE:25PO:0OV:75
*Chris TierneyAGE:24PO:0OV:75
Jay BeagleAGE:33PO:0OV:73
*Brendan GaunceAGE:24PO:0OV:68
*Jason DickinsonAGE:23PO:0OV:65
Vladimir TarasenkoAGE:27PO:0OV:80
Reilly SmithAGE:27PO:0OV:79
*Brock BoeserAGE:22PO:0OV:76
*Jake DebruskAGE:22PO:0OV:75
*Stefan NoesenAGE:25PO:0OV:73
*Martin FrkAGE:25PO:0OV:70
*Michael McCarronAGE:23PO:0OV:66

Defense #1Defense #2Goalie
Justin BraunAGE:31PO:0OV:79
Josh MansonAGE:27PO:0OV:79
Mattias EkholmAGE:28PO:0OV:79
Matt DumbaAGE:24PO:0OV:79
Adam LarssonAGE:26PO:0OV:77
Jacob TroubaAGE:24PO:0OV:76
Luke SchennAGE:29PO:0OV:75
Roberto LuongoAGE:39PO:0OV:79
*Jacob MarkstromAGE:28PO:0OV:77
*Linus UllmarkAGE:25PO:0OV:70

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
A.J. GreerDogbones201681
Alexander NylanderDogbones
Daniel AltshullerDogbones
Jacob LarssonDogbones201662
Marcus HogbergDogbones
Nicolas MelocheDogbones201698

Draft Picks

Year R1R2R3R4R5
2019FGI DBS BKS STL
2020DBS BUL JKS PIR
2021DBS DBS DBS
2022DBS DBS STL DBS JKS JKS JKS STL STL DBS DBS DBS OLS OLS OLS STL STL STL DBS DBS DBS DBS PIR PIR DBS DBS PIR DBS DBS DBS
2023JKS DBS STL DBS DBS DBS DBS



[2019-05-21 23:58:53] - Matt Dumba has been selected as assistant for Dogbones.
[2019-05-21 23:58:52] - Unknown Player is no longer as assistant for Dogbones.
[2019-05-21 23:58:47] - Jack Eichel has been selected as assistant for Dogbones.
[2019-05-21 23:58:46] - Unknown Player is no longer as assistant for Dogbones.
[2019-05-21 23:58:39] - Sean Monahan has been selected as the team Captain for the Dogbones.
[2019-05-21 23:58:37] - Unknown Player is no longer captain for Dogbones.
[2019-05-12 10:49:42] - TRADE : From Stallions to Dogbones : Y:2023-RND:2-STL.
[2019-05-12 10:49:42] - TRADE : From Dogbones to Stallions : Y:2019-RND:4-WOL.
[2019-05-11 09:20:06] - TRADE : From Sens to Dogbones : Y:2023-RND:1-JKS, Y:2022-RND:4-PIR, Y:2022-RND:4-PIR, Y:2022-RND:4-PIR.
[2019-05-11 09:20:06] - TRADE : From Dogbones to Sens : Y:2022-RND:1-SEN, Y:2022-RND:1-SEN, Y:2022-RND:1-SEN.
[2019-05-06 16:37:39] - Luke Schenn was added to Dogbones.
[2019-05-02 13:09:06] - Warriors hired Kevin Dineen for 665 500 $ for 1 year(s).
[2019-05-02 13:05:15] - Dogbones hired Gérard Gallant for 605 000 $ for 5 year(s).
[2019-04-29 23:20:10] - Johnny Oduya was released.
[2019-04-29 23:20:10] - Dogbones paid 0 $ to release Johnny Oduya.
[2019-04-29 11:06:42] - Michael Chaput was released.
[2019-04-29 11:06:42] - Dogbones paid 0 $ to release Michael Chaput.
[2019-04-25 10:45:24] - Richard Panik was released.
[2019-04-25 10:45:24] - Dogbones paid 0 $ to release Richard Panik.
[2019-04-24 13:11:28] - Joe Thornton was released.
[2019-04-24 13:11:28] - Dogbones paid 0 $ to release Joe Thornton.
[2019-04-24 11:21:39] - Brian Elliott was released.
[2019-04-24 11:21:39] - Dogbones paid 0 $ to release Brian Elliott.
[2019-04-23 22:08:06] - Chad Johnson was released.
[2019-04-23 22:08:06] - Dogbones paid 0 $ to release Chad Johnson.
[2019-04-09 21:54:05] - Zack Phillips has been deleted from Dogbones.
[2019-04-09 21:53:56] - Mark Visentin has been deleted from Dogbones.
[2019-04-09 21:53:49] - Louis Leblanc has been deleted from Dogbones.
[2019-04-09 21:53:43] - Jake Paterson has been deleted from Dogbones.
[2019-04-09 21:53:32] - Henrik Samuelsson has been deleted from Dogbones.
[2019-04-09 21:53:22] - Duncan Siemens has been deleted from Dogbones.
[2019-04-09 21:53:14] - Dillon Fournier has been deleted from Dogbones.
[2019-04-09 21:53:06] - Colin Smith has been deleted from Dogbones.
[2019-04-09 21:52:57] - Anthony Camara has been deleted from Dogbones.
[2019-03-04 12:59:32] - TRADE : From Pirates to Dogbones : Roberto Luongo (77).
[2019-03-04 12:59:32] - TRADE : From Dogbones to Pirates : Y:2021-RND:3-DBS.
[2019-02-24 20:15:41] - TRADE : From Dogbones to Oilers : Y:2022-RND:1-OLS, Y:2022-RND:1-OLS, Y:2022-RND:1-OLS.
[2019-02-24 20:15:41] - TRADE : From Oilers to Dogbones : Reilly Smith (75).
[2019-02-24 19:55:29] - TRADE : From Jokers to Dogbones : Jacob Larsson (P), Y:2019-RND:2-BKS, Y:2020-RND:1-BUL.
[2019-02-24 19:55:29] - TRADE : From Dogbones to Jokers : Cam Fowler (77), Y:2021-RND:5-DBS, Y:2021-RND:5-TIR.
[2019-02-20 11:56:53] - TRADE : From Stallions to Dogbones : Vladimir Tarasenko (80).
[2019-02-20 11:56:53] - TRADE : From Dogbones to Stallions : Aaron Ekblad (78), Max Domi (74), Jordan Eberle (78).
[2019-02-01 22:42:59] - TRADE : From Sens to Dogbones : Y:2019-RND:3-STL.
[2019-02-01 22:42:59] - TRADE : From Dogbones to Sens : Brandon Saad (77).



[2019-06-24 22:33:49] Both Dogbones and Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-24 22:32:47] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-24 10:40:20] Dogbones lines for next game are empty. Current rosters/lines are not erased.
[2019-06-24 10:40:02] Auto Lines Function has been run for Dogbones.
[2019-06-24 10:40:02] Auto Roster Partial Function has been run for Dogbones.
[2019-06-23 20:44:17] Adam Lowry from Dogbones is back from Right Leg Injury.
[2019-06-23 20:44:17] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-23 14:55:31] Martin Frk from Warriors is back from Strained Back Injury.
[2019-06-23 14:55:09] Auto Lines Function has been run for Dogbones.
[2019-06-23 14:55:09] Auto Roster Partial Function has been run for Dogbones.
[2019-06-23 00:22:53] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-22 16:56:51] Warriors lines for next game are empty. Current rosters/lines are not erased. But, Dogbones lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-06-22 16:56:47] Matt Hendricks from Warriors has scored a Hat Trick!
[2019-06-22 16:56:36] Auto Lines Function has been run for Dogbones.
[2019-06-22 16:56:36] Auto Roster Partial Function has been run for Dogbones.
[2019-06-20 21:57:57] Last 7 Days Pro Star : 1 - Cam Talbot of Gongshow (0,971) / 2 - Marc-Andre Fleury of Storm (0,967) / 3 - Roberto Luongo of Dogbones (0,952)
[2019-06-20 21:57:57] Game 398 - Adam Lowry from Dogbones is injured (Right Leg) and is out for 1 week.
[2019-06-20 21:57:48] Auto Lines Function has been run for Dogbones.
[2019-06-20 21:57:48] Auto Roster Partial Function has been run for Dogbones.
[2019-06-20 21:56:47] Jay Beagle from Dogbones is back from Lacerated Left Calf Injury.
[2019-06-20 21:56:47] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-20 21:56:40] Game 388 - Unknown Player from Warriors is injured (Severed Right Wrist Tendon) and is out for 1 week.
[2019-06-20 21:55:54] Warriors lines for next game are empty. Current rosters/lines are not erased.
[2019-06-19 23:44:09] Adam Lowry from Dogbones is back from Left Wrist Injury.
[2019-06-19 23:43:50] Auto Lines Function has been run for Dogbones.
[2019-06-19 23:43:50] Auto Roster Partial Function has been run for Dogbones.
[2019-06-18 19:49:19] Warriors lines for next game are empty. Current rosters/lines are not erased. But, Dogbones lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-06-17 22:58:53] Auto Lines Function has been run for Dogbones.
[2019-06-17 22:58:53] Auto Roster Partial Function has been run for Dogbones.
[2019-06-17 22:57:57] Warriors lines for next game are empty. Current rosters/lines are not erased. But, Dogbones lines for next game are NOT empty. Current pro rosters/lines are moved and might impact farm rosters/lines.
[2019-06-17 22:57:54] Matt Hendricks from Warriors has scored a Hat Trick!
[2019-06-17 22:57:47] Auto Lines Function has been run for Dogbones.
[2019-06-17 22:57:47] Auto Roster Partial Function has been run for Dogbones.



No Injury or Suspension.


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
201844101801366103116-132176001255353023312012415063-134310316626910243933913644544774225114544723418471422719.01%1232877.24%349197150.57%499102048.92%33059855.18%947534960408802413
Total Regular Season44101801366103116-132176001255353023312012415063-134310316626910243933913644544774225114544723418471422719.01%1232877.24%349197150.57%499102048.92%33059855.18%947534960408802413
Playoff
201751400000712-53120000036-32020000046-2271320105200158645142117754449216318.75%12466.67%05511846.61%6412750.39%285749.12%11264107459146
Total Playoff51400000712-53120000036-32020000046-2271320105200158645142117754449216318.75%12466.67%05511846.61%6412750.39%285749.12%11264107459146