Login

Dogbones
GP: 12 | W: 5 | L: 7
GF: 29 | GA: 32 | PP%: 15.79% | PK%: 77.14%
GM : Nico Crisafi | Morale : 99 | Team Overall : 75
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Dogbones
5-7-0, 10pts
1
FINAL
4 Thunder
9-8-0, 18pts
Team Stats
L2StreakL3
4-3-0Home Record6-3-0
1-4-0Away Record3-5-0
4-5-1Last 10 Games5-4-1
2.42Goals Per Game2.53
2.67Goals Against Per Game2.76
15.79%Power Play Percentage12.50%
77.14%Penalty Kill Percentage80.95%
Thunder
9-8-0, 18pts
4
FINAL
2 Dogbones
5-7-0, 10pts
Team Stats
L3StreakL2
6-3-0Home Record4-3-0
3-5-0Away Record1-4-0
5-4-1Last 10 Games4-5-1
2.53Goals Per Game2.42
2.76Goals Against Per Game2.67
12.50%Power Play Percentage15.79%
80.95%Penalty Kill Percentage77.14%
Team Leaders
Goals
Teuvo Teravainen
4
Assists
Vladimir Tarasenko
9
Points
Vladimir Tarasenko
11
Plus/Minus
Jordan Greenway
4
Wins
Mikko Koskinen
3
Save Percentage
Linus Ullmark
0.922

Team Stats
Goals For
29
2.42 GFG
Shots For
357
29.75 Avg
Power Play Percentage
15.8%
6 GF
Offensive Zone Start
37.1%
Goals Against
32
2.67 GAA
Shots Against
393
32.75 Avg
Penalty Kill Percentage
77.1%%
8 GA
Defensive Zone Start
40.6%
Team Info

General ManagerNico Crisafi
CoachGérard Gallant
DivisionBourque
ConferenceConférence Gretzky
CaptainBoone Jenner
Assistant #1Jacob Trouba
Assistant #2Jack Eichel


Arena Info

NameArena de Parent
Capacity17,230
Attendance16,974
Season Tickets6,892


Roster Info

Pro Team24
Farm Team7
Contract Limit31 / 55
Prospects9


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap85,000,000$
Special Salary Cap Value0$
Players In Salary Cap24


Finance

Year to Date Revenue13,030,543$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account6,674,658$
Projected Bank Account6,674,658$


Team History

This Season5-7
History134-87-23 (0.549%)
Playoff Appearances3
Playoff Record (W-L)9-15
Stanley Cup0


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
1Patrice BergeronX100.007965908782848286988685906099970708103816,875,000$
2Vladimir TarasenkoX100.008065919086828490508990747584880788003127,500,000$
3Boone Jenner (C)XX100.008468928486866784878087826481900767903013,750,000$
4David PerronXX100.008167858783827586508488747592890767903514,000,000$
5Jack Eichel (A)X100.0083629394848540846779887871758707378026510,000,000$
6Teuvo TeravainenXX100.005457938778838785658783825881850767702935,400,000$
7Jake DebruskXX100.007557978778818579567385767377780737502612,975,000$
8Nicolas RoyXX100.00795986828382877879787780807275076740261800,000$
9Jordan GreenwayX100.009368778292806876507774835273770767302612,100,000$
10Nick PaulX100.008364898390828974787177825473790767302811,350,000$
11Michael McCarron (R)X100.00927271759476557172687381516971054700282750,000$
12Eric StaalX100.00697196818375667072676662539785077680381750,000$
13Brent BurnsX100.007371898593949780508674795297920768103848,000,000$
14Jacob Trouba (A)X100.009372779185889478508075865381870797902958,000,000$
15Jared SpurgeonX100.007358968876877580508476875386900767803343,598,000$
16Shea TheodoreX100.006962938780899182508578727680870767702845,200,000$
17Marco ScandellaX100.008669948286847969506968815084810767403331,250,000$
18Alec MartinezX100.007863968583854072507173815186840437303631,500,000$
Scratches
1Derek RyanXXX100.007061978875778171786973805177770797103621,491,000$
2Paul ByronXXX100.009356989580784071606774735879850777103421,905,000$
3Mike MathesonX100.008361908682848477507776725376780777402952,500,000$
4Connor CliftonX100.009360888583826768506867745072730787102821,000,000$
Farm Team
1Andrew LaddX100.008370808484805670506773715490820697003721,600,000$
2Brendan GaunceX100.00857191768674407066657573537071068690291750,000$
3Martin FrkX100.00906393838780406350606660506970078650291787,500$
4John MooreX100.008365888683834063506264845080780647003221,100,000$
5Nicolas Meloche (R)X100.00956983778982566750676767506870075690261750,000$
6Jacob LarssonX100.005257938476814063506264635070710686402611,200,000$
TEAM AVERAGE100.0080649086848374786277787960818307475
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
1Linus Ullmark100.00788179907576808183778171760767703045,000,000$
2Mikko Koskinen100.00748382917376797878798272770767603512,150,000$
Scratches
Farm Team
1Collin Delia (R)100.0068605988686967706467676767080650291650,000$
TEAM AVERAGE100.007682819174768080817882727707677
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Gérard Gallant90938691827599USA591605,000$


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
1Vladimir TarasenkoDogbonesRW122911-213518163917275.13%429624.680221370001280028.00%25163000.7400100001
2David PerronDogbonesLW/RW12369-34019173613268.33%622518.82101337000001057.14%2162000.8000000100
3Boone JennerDogbonesC/LW1226804016153311136.06%219816.560223200002140060.33%12133000.8100000011
4Teuvo TeravainenDogbonesLW/RW12448-72015184710198.51%723119.271238280000141040.00%1072000.6900000200
5Brent BurnsDogbonesD1233602018161811416.67%1533828.24101342000133010.00%0315000.3500000020
6Nicolas RoyDogbonesC/RW12336420131328121410.71%415613.0300001000061050.00%2231000.7700000001
7Patrice BergeronDogbonesC101560751728281593.57%521021.091124270002250052.90%27655000.5700001001
8Jack EichelDogbonesC12235-1401815309216.67%721017.53000325000030040.24%16974000.4800000000
9Jordan GreenwayDogbonesLW123254115158153820.00%516513.76101110000141041.67%2442000.6100001001
10Jacob TroubaDogbonesD12044-236102822141070.00%1629024.21011542000024000.00%034000.2800200000
11Shea TheodoreDogbonesD12134-311571644825.00%1023319.47101128000020100.00%039000.3400001100
12Jake DebruskDogbonesLW/RW12033-600241515990.00%423219.410221310002110037.50%842000.2600000000
13Jared SpurgeonDogbonesD12213-3001315107520.00%1123819.87000128000223000.00%0310000.2500000010
14Nick PaulDogbonesLW122024100105141214.29%1796.65000000000001100.00%213000.5000000000
15Paul ByronDogbonesC/LW/RW7011100845100.00%1436.2600000000000027.27%2230000.4600000000
16Michael McCarronDogbonesRW31011001040225.00%0237.760000000000000.00%202000.8600000000
17Derek RyanDogbonesC/LW/RW2000200110000.00%0105.400000000000000.00%001000.00%00000000
18Alec MartinezDogbonesD4000100034010.00%14310.820000000001000.00%001000.00%00000000
19Marco ScandellaDogbonesD120002009136100.00%214912.480000000013000.00%033000.00%00000000
20Eric StaalDogbonesC3000020012010.00%1186.0000000000000044.44%901000.00%00000000
21Connor CliftonDogbonesD8000000000000.00%000.060000000000000.00%000000.00%00000000
22Mike MathesonDogbonesD11000340985330.00%915013.6600000000012000.00%045000.00%00000000
Team Total or Average216295382-5112302592493571371798.12%111354816.436101634352000112385248.66%7117878000.4600303445
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 KoskinenDogbones63300.9192.51358001518685200.00%066010
2Linus UllmarkDogbones62310.9222.66361001620698010.00%066100
Team Total or Average125610.9212.5971900313921832101212110


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
Alec MartinezDogbonesD361987-07-26 09:26:19No206 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$1,500,000$0$No1,500,000$1,500,000$Link
Boone JennerDogbonesC/LW301993-06-15 21:26:19No208 Lbs6 ft2NoNoNo1Pro Only3,750,000$3,750,000$0$NoLink
Brent BurnsDogbonesD381985-03-09 21:26:19No230 Lbs6 ft5NoNoNo4Pro Only8,000,000$8,000,000$0$No8,000,000$8,000,000$8,000,000$Link
Connor CliftonDogbonesD281995-04-28 15:13:23No175 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$1,000,000$0$No1,000,000$Link
David PerronDogbonesLW/RW351988-05-28 15:26:19No200 Lbs6 ft0NoNoNo1Pro Only4,000,000$4,000,000$0$NoLink
Derek RyanDogbonesC/LW/RW361986-12-29 07:35:23No170 Lbs5 ft11NoNoNo2Pro & Farm1,491,000$1,491,000$0$No1,491,000$Link
Eric StaalDogbonesC381984-10-29 15:26:19No209 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$NoLink
Jack EichelDogbonesC261996-10-28 15:26:19No206 Lbs6 ft2NoNoNo5Pro & Farm10,000,000$10,000,000$0$No10,000,000$10,000,000$10,000,000$10,000,000$Link
Jacob TroubaDogbonesD291994-02-26 03:26:19No202 Lbs6 ft3NoNoNo5Pro Only8,000,000$8,000,000$0$No8,000,000$8,000,000$8,000,000$8,000,000$Link
Jake DebruskDogbonesLW/RW261996-10-17 06:20:14No188 Lbs6 ft0NoNoNo1Pro Only2,975,000$2,975,000$0$NoLink
Jared SpurgeonDogbonesD331989-11-29 21:26:19No185 Lbs5 ft9NoNoNo4Pro Only3,598,000$3,598,000$0$No3,598,000$3,598,000$3,598,000$Link
Jordan GreenwayDogbonesLW261997-02-16 07:18:00No225 Lbs6 ft6NoNoNo1Pro & Farm2,100,000$2,100,000$0$NoLink
Linus UllmarkDogbonesG301993-07-31 21:26:20No208 Lbs6 ft4NoNoNo4Pro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$5,000,000$
Marco ScandellaDogbonesD331990-02-23 03:26:19No208 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$1,250,000$0$No1,250,000$1,250,000$Link
Michael McCarronDogbonesRW281995-03-07 12:04:10Yes232 Lbs6 ft6NoNoNo2Pro & Farm750,000$750,000$0$No750,000$
Mike MathesonDogbonesD291994-02-27 03:26:19No192 Lbs6 ft2NoNoNo5Pro & Farm2,500,000$2,500,000$0$No2,500,000$2,500,000$2,500,000$2,500,000$Link
Mikko KoskinenDogbonesG351988-07-18 16:47:53No202 Lbs6 ft7NoNoNo1Pro Only2,150,000$2,150,000$0$No
Nick PaulDogbonesLW281995-03-20 15:19:08No219 Lbs6 ft3NoNoNo1Pro & Farm1,350,000$1,350,000$0$NoLink
Nicolas RoyDogbonesC/RW261997-02-05 06:05:39No200 Lbs6 ft4NoNoNo1Pro & Farm800,000$800,000$0$NoLink
Patrice BergeronDogbonesC381985-07-24 21:26:19No195 Lbs6 ft1NoNoNo1Pro & Farm6,875,000$6,875,000$0$NoLink
Paul ByronDogbonesC/LW/RW341989-04-27 21:26:19No162 Lbs5 ft9NoNoNo2Pro & Farm1,905,000$1,905,000$0$No1,905,000$Link
Shea TheodoreDogbonesD281995-08-03 09:26:19No195 Lbs6 ft2NoNoNo4Pro & Farm5,200,000$5,200,000$0$No5,200,000$5,200,000$5,200,000$Link
Teuvo TeravainenDogbonesLW/RW291994-09-11 03:26:19No178 Lbs5 ft11NoNoNo3Pro Only5,400,000$5,400,000$0$No5,400,000$5,400,000$Link
Vladimir TarasenkoDogbonesRW311991-12-13 09:26:19No219 Lbs6 ft0NoNoNo2Pro & Farm7,500,000$7,500,000$0$No7,500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2431.25201 Lbs6 ft22.463,660,167$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
87,844,000$63,094,000$50,448,000$42,298,000$20,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1David PerronPatrice BergeronVladimir Tarasenko40014
2Teuvo TeravainenJack EichelJake Debrusk30014
3Nick PaulBoone JennerNicolas Roy20122
4Jordan GreenwayEric StaalVladimir Tarasenko10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsJacob Trouba40122
2Jared SpurgeonShea Theodore30122
3Marco ScandellaAlec Martinez20122
4Jacob TroubaBrent Burns10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1David PerronPatrice BergeronVladimir Tarasenko60005
2Teuvo TeravainenJack EichelJake Debrusk40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsJacob Trouba60005
2Jared SpurgeonShea Theodore40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nicolas RoyVladimir Tarasenko60122
2Boone JennerTeuvo Teravainen40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsJacob Trouba60122
2Jared SpurgeonShea Theodore40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Boone Jenner60122Brent BurnsJacob Trouba60122
2Nicolas Roy40122Jared SpurgeonShea Theodore40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jack EichelVladimir Tarasenko60122
2Boone JennerTeuvo Teravainen40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brent BurnsJacob Trouba60122
2Jared SpurgeonShea Theodore40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
David PerronBoone JennerVladimir TarasenkoBrent BurnsJacob Trouba
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
David PerronBoone JennerVladimir TarasenkoBrent BurnsJacob Trouba
Extra Forwards
Normal PowerPlayPenalty Kill
Teuvo Teravainen, David Perron, Jordan GreenwayTeuvo Teravainen, David PerronJordan Greenway
Extra Defensemen
Normal PowerPlayPenalty Kill
Marco Scandella, Brent Burns, Jared SpurgeonMarco ScandellaMarco Scandella, Brent Burns
Penalty Shots
Jack Eichel, Vladimir Tarasenko, Jake Debrusk, Boone Jenner, Teuvo Teravainen
Goalie
#1 : Linus Ullmark, #2 : Mikko Koskinen


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
1Pirates743000001718-143100000108231200000710-380.5711732490038512097469633210577817218211.11%24675.00%013826452.27%13428946.37%7415846.84%149831426613064
2Thunder514000001214-23120000010822020000026-420.200122133104440148475744018354348720420.00%11281.82%013826452.27%13428946.37%7415846.84%10561112438142
Total1257000002932-3743000002016451400000916-7100.4172953821071291357121126107339311111225938615.79%35877.14%013826452.27%13428946.37%7415846.84%255144254109211107
_Since Last GM Reset1257000002932-3743000002016451400000916-7100.4172953821071291357121126107339311111225938615.79%35877.14%013826452.27%13428946.37%7415846.84%255144254109211107
_Vs Conference1257000002932-3743000002016451400000916-7100.4172953821071291357121126107339311111225938615.79%35877.14%013826452.27%13428946.37%7415846.84%255144254109211107
_Vs Division743000001718-143100000108231200000710-380.5711732490038512097469633210577817218211.11%24675.00%013826452.27%13428946.37%7415846.84%149831426613064

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1210L229538235739311111225910
All Games
GPWLOTWOTL SOWSOLGFGA
125700002932
Home Games
GPWLOTWOTL SOWSOLGFGA
74300002016
Visitor Games
GPWLOTWOTL SOWSOLGFGA
5140000916
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
38615.79%35877.14%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
121126107371291
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
13826452.27%13428946.37%7415846.84%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
255144254109211107


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 - 2023-03-122Pirates3Dogbones2BLBoxScore
3 - 2023-03-1410Pirates2Dogbones3BWBoxScore
5 - 2023-03-1618Dogbones3Pirates5ALBoxScore
7 - 2023-03-1826Dogbones4Pirates2AWBoxScore
9 - 2023-03-2034Pirates1Dogbones2BWXBoxScore
11 - 2023-03-2242Dogbones0Pirates3ALBoxScore
13 - 2023-03-2450Pirates2Dogbones3BWBoxScore
15 - 2023-03-2658Thunder1Dogbones6BWBoxScore
17 - 2023-03-2862Thunder3Dogbones2BLBoxScore
19 - 2023-03-3066Dogbones1Thunder2ALXBoxScore
21 - 2023-04-0170Dogbones1Thunder4ALBoxScore
23 - 2023-04-0374Thunder4Dogbones2BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity41004100400040001030
Ticket Price100735334200
Attendance28,70028,70026,22728,0007,191
Attendance PCT100.00%100.00%93.67%100.00%99.74%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
34 16974 - 98.51% 1,861,506$13,030,543$17230100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 87,844,000$ 73,469,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 6,674,658$ 6,674,658$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 85,000,000$ 85,000,000$ -60,000,000$



Depth Chart

Left WingCenterRight Wing
Boone JennerAGE:30PO:0OV:79
David PerronAGE:35PO:0OV:79
Teuvo TeravainenAGE:29PO:0OV:77
Jake DebruskAGE:26PO:0OV:75
Jordan GreenwayAGE:26PO:0OV:73
Nick PaulAGE:28PO:0OV:73
Derek RyanAGE:36PO:0OV:71
Paul ByronAGE:34PO:0OV:71
Andrew LaddAGE:37PO:0OV:70
Patrice BergeronAGE:38PO:0OV:81
Boone JennerAGE:30PO:0OV:79
Jack EichelAGE:26PO:0OV:78
Nicolas RoyAGE:26PO:0OV:74
Derek RyanAGE:36PO:0OV:71
Paul ByronAGE:34PO:0OV:71
Brendan GaunceAGE:29PO:0OV:69
Eric StaalAGE:38PO:0OV:68
Vladimir TarasenkoAGE:31PO:0OV:80
David PerronAGE:35PO:0OV:79
Teuvo TeravainenAGE:29PO:0OV:77
Jake DebruskAGE:26PO:0OV:75
Nicolas RoyAGE:26PO:0OV:74
Derek RyanAGE:36PO:0OV:71
Paul ByronAGE:34PO:0OV:71
Michael McCarron (R)AGE:28PO:0OV:70
Martin FrkAGE:29PO:0OV:65

Defense #1Defense #2Goalie
Brent BurnsAGE:38PO:0OV:81
Jacob TroubaAGE:29PO:0OV:79
Jared SpurgeonAGE:33PO:0OV:78
Shea TheodoreAGE:28PO:0OV:77
Marco ScandellaAGE:33PO:0OV:74
Mike MathesonAGE:29PO:0OV:74
Alec MartinezAGE:36PO:0OV:73
Connor CliftonAGE:28PO:0OV:71
John MooreAGE:32PO:0OV:70
Nicolas Meloche (R)AGE:26PO:0OV:69
Jacob LarssonAGE:26PO:0OV:64
Linus UllmarkAGE:30PO:0OV:77
Mikko KoskinenAGE:35PO:0OV:76
Collin Delia (R)AGE:29PO:0OV:65

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
Alexander NylanderDogbones
Brandt ClarkeDogbones
Brendan PerliniDogbones
Kirill MarchenkoDogbones
Marcus HogbergDogbones
Mason LohreiDogbones
Matthew KniesDogbones
Nolan FooteDogbones202030
Oliver TarnstromDogbones202176

Draft Picks

Year R1R2R3R4R5
2023DBS DBS DBS SEN
2024DBS DBS
2025DBS DBS BUL
2026WHA DBS BRA DBS SEN PIR DBS DBS OLS
2027DBS THU DBS BJT DBS DBS DBS




STHS News Database File Not Found. Please create one from the League News Management or the STHS.




Dogbones Trade History

[2023-06-21 22:00:13] - Dogbones was eliminated at round 2 of year 2022.
[2023-06-21 10:58:35] - Warriors was eliminated at round 2 of year 2022.
[2023-04-02 20:13:15] - TRADE : From Dogbones to Braves : Cal Foote (69), Y:2025-RND:3-DBS, Y:2023-RND:4-WOL, Y:2025-RND:5-DBS.
[2023-04-02 20:13:15] - TRADE : From Braves to Dogbones : Mike Matheson (74).
[2023-03-20 21:33:01] - TRADE : From Dogbones to Pirates : Anthony DeAngelo (75).
[2023-03-20 21:31:22] - TRADE : From Oilers to Dogbones : Y:2027-RND:1-THU, Y:2027-RND:2-BJT.
[2023-03-20 21:31:22] - TRADE : From Dogbones to Oilers : Y:2023-RND:1-OLS.
[2023-03-13 19:46:00] - Jack Eichel has been selected as assistant for Dogbones.
[2023-03-13 19:45:59] - Unknown Player is no longer as assistant for Dogbones.
[2023-03-13 19:45:50] - Jacob Trouba has been selected as assistant for Dogbones.
[2023-03-13 19:45:48] - Jack Eichel is no longer as assistant for Dogbones.
[2023-03-13 19:45:36] - Boone Jenner has been selected as the team Captain for the Dogbones.
[2023-03-13 19:45:34] - Unknown Player is no longer captain for Dogbones.
[2023-03-11 21:19:35] - Mikko Koskinen was added to Dogbones.
[2023-03-11 21:19:35] - Dogbones claimed Mikko Koskinen from waivers by Whalers for 250 000 $.
[2023-03-11 21:15:10] - Dogbones show interest in Mikko Koskinen from waiver.
[2023-03-11 20:21:01] - TRADE : From Braves to Dogbones : Y:2026-RND:2-BRA.
[2023-03-11 20:21:01] - TRADE : From Dogbones to Braves : Rafaël Harvey-Pinard (P), Y:2024-RND:5-DBS.
[2023-03-08 19:50:21] - Warriors hired Jeremy Colliton for 600 000 $ for 2 year(s).
[2023-02-23 10:00:35] - Collin Delia was added to Dogbones.



[2023-09-19 13:36:11] 10 000 000 $ was added to Dogbones bank account.
[2023-09-19 13:36:04] Current fund for Dogbones is under 0 $.
[2023-09-17 21:40:50] Current fund for Dogbones is under 0 $.
[2023-09-17 21:24:38] Current fund for Dogbones is under 0 $.
[2023-09-17 21:06:03] 2 500 000 $ was added to Dogbones bank account.
[2023-09-17 21:05:50] Current fund for Dogbones is under 0 $.
[2023-09-17 21:05:42] Current fund for Dogbones is under 0 $.
[2023-09-17 20:56:53] 3 500 000 $ was added to Dogbones bank account.
[2023-09-17 20:56:45] Current fund for Dogbones is under 0 $.
[2023-09-17 20:52:28] 3 500 000 $ was added to Dogbones bank account.
[2023-09-17 20:52:14] Current fund for Dogbones is under 0 $.
[2023-09-12 09:35:34] Current fund for Dogbones is under 0 $.
[2023-07-07 00:02:39] Current fund for Dogbones is under 0 $.
[2023-07-05 23:48:46] Current fund for Dogbones is under 0 $.
[2023-07-04 23:29:18] Current fund for Dogbones is under 0 $.
[2023-07-03 23:09:03] Current fund for Dogbones is under 0 $.
[2023-07-02 23:42:54] Current fund for Dogbones is under 0 $.
[2023-07-01 21:11:07] Current fund for Dogbones is under 0 $.
[2023-06-29 22:45:22] Current fund for Dogbones is under 0 $.
[2023-06-29 22:34:51] Current fund for Dogbones is under 0 $.
[2023-06-29 22:14:48] Current fund for Dogbones is under 0 $.
[2023-06-29 21:36:47] Current fund for Dogbones is under 0 $.
[2023-06-29 10:24:47] Current fund for Dogbones is under 0 $.
[2023-06-28 23:13:52] Current fund for Dogbones is under 0 $.
[2023-06-27 21:42:16] Current fund for Dogbones is under 0 $.
[2023-06-27 21:23:36] Current fund for Dogbones is under 0 $.
[2023-06-26 21:37:07] Current fund for Dogbones is under 0 $.
[2023-06-26 21:00:53] Current fund for Dogbones is under 0 $.
[2023-06-25 20:53:01] Current fund for Dogbones is under 0 $.
[2023-06-25 20:01:32] Current fund for Dogbones is under 0 $.
[2023-06-25 11:07:27] Current fund for Dogbones is under 0 $.
[2023-06-25 10:41:41] Current fund for Dogbones is under 0 $.
[2023-06-25 10:41:30] Derek Ryan from Dogbones is back from Left Hip Injury.
[2023-06-24 05:55:07] Current fund for Dogbones is under 0 $.
[2023-06-22 21:28:30] Current fund for Dogbones is under 0 $.
[2023-06-22 21:10:18] Current fund for Dogbones is under 0 $.
[2023-06-21 22:11:12] Current fund for Dogbones is under 0 $.
[2023-06-21 22:00:50] Current fund for Dogbones is under 0 $.
[2023-06-21 21:50:04] Current fund for Dogbones is under 0 $.
[2023-06-21 13:22:45] Current fund for Dogbones is under 0 $.
[2023-06-21 10:58:47] Current fund for Dogbones is under 0 $.
[2023-06-21 10:58:35] Patrice Bergeron from Dogbones is back from Bruised Left Foot Injury.
[2023-06-21 10:58:35] 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.
[2023-06-21 10:52:49] Current fund for Dogbones is under 0 $.
[2023-06-20 10:54:43] Current fund for Dogbones is under 0 $.
[2023-06-20 00:19:43] Current fund for Dogbones is under 0 $.
[2023-06-20 00:19:33] 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.
[2023-06-20 00:05:20] Dogbones roster errors : Not enough Players available in Pro Team! 17 Dressed. 18 Required. Some errors will be automatically fixed.
[2023-06-20 00:05:17] Current fund for Dogbones is under 0 $.
[2023-06-19 08:26:25] Current fund for Dogbones is under 0 $.



No Injury or Suspension.


Dogbones 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
1David Pastrnak81405393-18701391094089.80%43168720.831414285800018640.3111.1037
2Andrei Svechnikov84325183-1114185863598.91%51183721.88617234910145346.4900.9024
3Aleksander Barkov6824527672411315220711.59%36148421.83615212101173456.0401.0235
4Jake Guentzel834134759761569333712.17%43180021.69148224800027638.7630.8309
5Alexander Ovechkin80373370-175317410833111.18%51190223.78511164720266245.2630.74215

Dogbones Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak52321280.9212.493157201311657824600.75645
2Jordan Binnington58282340.9162.703377801521814931210.73126
3Elvis Merzlikins33141360.9212.50194222811020535000.46213
4Craig Anderson34131540.9062.95201620991055545230.71414
5Jonathan Bernier31121620.9033.2817402095977503200.8005

Dogbones 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
Regular Season
202082313701562218242-2441162000221102121-1941151701341116121-5832183515691156748112255480189284842266791684118092885318.40%2576076.65%4976190251.31%922189448.68%571110551.67%1746101117937411426704
2021823730011582382251341161600144111114-34121140101412711116952383956332062967412268583498685854273790671817672443715.16%2584981.01%5890183948.40%941186950.35%584117449.74%1742100918127421430709
202282254102284230240-104116190102312912364192201261101117-16762303806103169807115269592088387557266186063717452575119.84%2495279.12%3907189747.81%906182149.75%604115752.20%1768102417557421458724
Total Regular Season2461098705720187456885712355440158103703432712354430421283753453029374512291974103233243244458065275027002574183783225612156529577014919.35%77613083.25%113111571054.48%2911551852.75%1824347052.56%547132475200219742852144
Playoff
2021181170000060519106400000302828530000030237226010316301172317365722423318416617216145375601830.00%52884.62%219941747.72%23745252.43%14326853.36%414255387156301151
Total Playoff24915000006168-7137600000373251129000002436-1218611051661020221727572442592193585227222351576911.84%681282.35%027853651.87%27558047.41%15132646.32%536313535223430215

Dogbones 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
1Brayden Schenn1810102051224266714.93%932418.04202611232046.4101.2300
2Aleksander Barkov1871320-1113050887.95%441923.3265111500011054.4710.9500
3Jake Guentzel1810818-32035197513.33%1038921.6246101800002136.3600.9200
4Alexander Ovechkin1851217-243623687.35%1037720.973691000003055.1700.9000
5Calle Jarnkrok1877143025184316.28%531717.64022411210150.0000.8800

Dogbones Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jaroslav Halak1710610.9182.7610440148584275100.00%0
2Jonathan Bernier11000.9093.00600033318000.00%0