Login

Sea Dogs
GP: 21 | W: 13 | L: 8
GF: 74 | GA: 64 | PP%: 38.95% | PK%: 53.25%
GM : Kevin Gagnon | Morale : 50 | Team Overall : 57
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Pantheres
16-6-0, 32pts
4
FINAL
3 Sea Dogs
13-8-0, 26pts
Team Stats
W2StreakL2
9-2-0Home Record6-3-0
7-4-0Away Record7-5-0
7-3-0Last 10 Games4-6-0
3.95Goals Per Game3.52
2.50Goals Against Per Game3.05
58.89%Power Play Percentage38.95%
59.76%Penalty Kill Percentage53.25%
Sea Dogs
13-8-0, 26pts
2
FINAL
6 Pantheres
16-6-0, 32pts
Team Stats
L2StreakW2
6-3-0Home Record9-2-0
7-5-0Away Record7-4-0
4-6-0Last 10 Games7-3-0
3.52Goals Per Game3.95
3.05Goals Against Per Game2.50
38.95%Power Play Percentage58.89%
53.25%Penalty Kill Percentage59.76%
Team Leaders
Wins
Dustin Tokarski
13
Save Percentage
Lukas Dostal
1

Team Stats
Goals For
74
3.52 GFG
Shots For
641
30.52 Avg
Power Play Percentage
38.9%
37 GF
Offensive Zone Start
36.3%
Goals Against
64
3.05 GAA
Shots Against
716
34.10 Avg
Penalty Kill Percentage
53.2%
36 GA
Defensive Zone Start
39.0%
Team Info

General ManagerKevin Gagnon
CoachDon Granato
DivisionNouvelle-Angleterre
ConferenceEst
CaptainAlex Galchenyuk
Assistant #1Devante Smith-Pelly
Assistant #2Pierre-Olivier Joseph


Arena Info

Capacity3,000
Attendance2,609
Season Tickets300


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 75
Prospects11


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 Average
1Vasili Podkolzin (R)X100.00743487865975955648485064494562081650213875,000$
2Alex Galchenyuk (C)X100.007334868555717356635050616066720516502821,000,000$
3Zack MacEwenX100.00857369836168834550474964496071050620262750,000$
4Maxim MaminX100.00653694835061425047454858496367050590272600,000$
5Joey AndersonX100.00623495816658284548454966495464050580241900,000$
6Stefan NoesenX100.00653394814759354649454964496972050580291600,000$
7Tim SchallerX100.00523195837155384543414858497872050570323800,000$
8Marian Studenic (R)X100.00643494865962404248464660465463050570241650,000$
9Nicholas ShoreX100.00523195837155414547424857497269050570301600,000$
10Alexander Holtz (R)X100.00613595836557254147464562464257050550203875,000$
11Devante Smith-Pelly (A)X100.00453095785050254540404854497267050540302600,000$
12Nicholas Abruzzese (R)X100.00613295874157254147454555465160050540233650,000$
13Christian JarosX100.00673294806053264648483760506367040580263950,000$
14Kevin Bahl (R)X100.00643294806455254547463862395161044570221725,000$
15Taylor FedunX100.00503195835653314751433353508773050560341600,000$
16Jordan GrossX100.00613095835252254548463754476666050560273950,000$
17Pierre-Olivier Joseph (R) (A)X100.00613295857351254247453752385460050550231800,000$
Scratches
1Brad MaloneX100.00593295805055254548444858498175050560331600,000$
2Mathias BromeX100.00533295854956334543424859496667050560281600,000$
3Byron FroeseX98.28513295824752254544424859497571050550311600,000$
4Chase De Leo (R)X100.00613295834455254049454565466368050550274900,000$
5Cam Hillis (R)X100.00603295854255254047454565464860050540223700,000$
6Anthony Richard (R)X100.00542986873651513643414150426061050500262600,000$
7Brandon Gignac (R)X100.00452386864845233636364145415756050470253600,000$
8Jonathan EricssonX100.00513195815952284552433354509980050560382600,000$
9Nikita Okhotiuk (R)X99.71623195835852254347453859395160050560223700,000$
10Dalton ProutX100.00535091818051254550433356508171050560322600,000$
11Kevin CzuczmanX100.00513195825550254549433451507869050540311600,000$
TEAM AVERAGE99.8959349383565635454744435847656605156
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
1Dustin Tokarski100.0065517073737874697154578578052650
Scratches
1Lukas Dostal (R)100.0062336469757271687251594146050600
2Cory Schneider100.0061337576707372666850579774049600
TEAM AVERAGE100.006339707373747268705258746605062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato70748085737370USA5541,500,000$


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
1Alex GalchenyukSea Dogs (MTL)C211518331240495698326315.31%1647022.4010112114670004443152.33%6654419011.4000000410
2Vasili PodkolzinSea Dogs (MTL)LW211021311280403593446610.75%1646722.275152010670002453146.51%1294222001.3300000030
3Maxim MaminSea Dogs (MTL)LW215141954033205615408.93%1035216.770997560110140053.33%152115001.0800000111
4Zack MacEwenSea Dogs (MTL)C21710175300583737202318.92%736017.1847114560000191047.11%2422216000.9400000021
5Joey AndersonSea Dogs (MTL)RW21511164100212231132716.13%838918.563710562000002050.00%321023000.8200000102
6Stefan NoesenSea Dogs (MTL)RW219615120332344162720.45%835817.0864101061000001238.89%182010000.8400000101
7Christian JarosSea Dogs (MTL)D21191074042293116183.23%3957827.54022276011052000.00%01738000.3500000002
8Taylor FedunSea Dogs (MTL)D21268340154214131414.29%4354325.86235569000048000.00%01030000.2900000000
9Jordan GrossSea Dogs (MTL)D2135848021182512512.00%832915.6931431500009100.00%0319010.4900000110
10Marian StudenicSea Dogs (MTL)LW2134714021244717446.38%528313.51101221013141077.78%92415000.4900000010
11Nikita OkhotiukSea Dogs (MTL)D212461135922165612.50%2139018.61101237000021000.00%0728100.3100010101
12Tim SchallerSea Dogs (MTL)LW1121310088178711.76%411510.4700011000051042.86%768000.5200000000
13Alexander HoltzSea Dogs (MTL)RW1821324014152061410.00%521111.7700001000080070.00%1089000.2800000000
14Pierre-Olivier JosephSea Dogs (MTL)D18022-10010207230.00%823713.200000100007000.00%0119000.1700000000
15Kevin BahlSea Dogs (MTL)D411232011321350.00%1011127.90101113000010010.00%0013000.3600000001
16Byron FroeseSea Dogs (MTL)C14112-120121520495.00%416311.65000000001110048.86%88115000.2500000100
17Jonathan EricssonSea Dogs (MTL)D16112000171616286.25%2032220.14112137000124000.00%0515000.1200000000
18Mathias BromeSea Dogs (MTL)LW10112200412208135.00%2898.970000000001000.00%175000.4500000010
19Nicholas ShoreSea Dogs (MTL)C41121404330133.33%45012.6200000000020073.68%1972000.7900000001
20Devante Smith-PellySea Dogs (MTL)RW18101-160514155116.67%31528.46000000000000100.00%154000.1300000000
21Nicholas AbruzzeseSea Dogs (MTL)C18011-2202212155120.00%21618.9700000000000040.91%4496000.1200000000
Team Total or Average3627211819037151544944662724441411.48%243614016.96376097676311231134213550.47%1280279321120.6200010101010
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
1Dustin TokarskiSea Dogs (MTL)2113800.9102.9912860064714365200.0000201231
2Lukas DostalSea Dogs (MTL)10001.0000.00800020000.0000117000
Team Total or Average2213800.9112.9712950064716365200.00002118231


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
Alex GalchenyukSea Dogs (MTL)C281994-01-01No194 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$NHL Link
Alexander HoltzSea Dogs (MTL)RW202002-01-01Yes195 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$
Anthony RichardSea Dogs (MTL)RW261996-01-01Yes163 Lbs5 ft10NoNoNo2Pro & Farm600,000$0$0$No600,000$
Brad MaloneSea Dogs (MTL)LW331989-01-01No217 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Brandon GignacSea Dogs (MTL)C251997-01-01Yes170 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Byron FroeseSea Dogs (MTL)C311991-01-01No202 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Cam HillisSea Dogs (MTL)C222000-01-01Yes175 Lbs5 ft9NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Chase De LeoSea Dogs (MTL)RW271995-01-01Yes185 Lbs5 ft9NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$
Christian JarosSea Dogs (MTL)D261996-01-01No222 Lbs6 ft3NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$NHL Link
Cory SchneiderSea Dogs (MTL)G361986-01-01No200 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$NHL Link
Dalton ProutSea Dogs (MTL)D321990-01-01No215 Lbs6 ft3NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Devante Smith-PellySea Dogs (MTL)RW301992-01-01No223 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Dustin TokarskiSea Dogs (MTL)G331989-01-01No198 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
Joey AndersonSea Dogs (MTL)RW241998-01-01No207 Lbs6 ft0NoNoNo1Pro & Farm900,000$0$0$No
Jonathan EricssonSea Dogs (MTL)D381984-01-01No218 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Jordan GrossSea Dogs (MTL)D271995-01-01No190 Lbs5 ft10NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
Kevin BahlSea Dogs (MTL)D222000-01-01Yes230 Lbs6 ft6NoNoNo1Pro & Farm725,000$0$0$No
Kevin CzuczmanSea Dogs (MTL)D311991-01-01No206 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$No
Lukas DostalSea Dogs (MTL)G222000-01-01Yes174 Lbs6 ft2NoNoNo3Pro & Farm675,000$0$0$No675,000$675,000$
Marian StudenicSea Dogs (MTL)LW241998-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Mathias BromeSea Dogs (MTL)LW281994-01-01No183 Lbs6 ft0NoNoNo1Pro & Farm600,000$0$0$No
Maxim MaminSea Dogs (MTL)LW271995-01-01No206 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Nicholas AbruzzeseSea Dogs (MTL)C231999-01-01Yes160 Lbs5 ft9NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nicholas ShoreSea Dogs (MTL)C301992-01-01No198 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Nikita OkhotiukSea Dogs (MTL)D222000-01-01Yes195 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Pierre-Olivier JosephSea Dogs (MTL)D231999-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Stefan NoesenSea Dogs (MTL)RW291993-01-01No205 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Taylor FedunSea Dogs (MTL)D341988-01-01No200 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$NoNHL Link
Tim SchallerSea Dogs (MTL)LW321990-01-01No204 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$NHL Link
Vasili PodkolzinSea Dogs (MTL)LW212001-01-01Yes190 Lbs6 ft1NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$
Zack MacEwenSea Dogs (MTL)C261996-01-01No205 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3127.48197 Lbs6 ft12.03722,581$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vasili PodkolzinAlex GalchenyukJoey Anderson40122
2Maxim MaminZack MacEwenStefan Noesen30122
3Marian StudenicNicholas ShoreAlexander Holtz20122
4Tim SchallerNicholas AbruzzeseDevante Smith-Pelly10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian JarosKevin Bahl40122
2Taylor Fedun30122
3Jordan GrossPierre-Olivier Joseph20122
4Christian JarosKevin Bahl10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vasili PodkolzinAlex GalchenyukJoey Anderson60122
2Maxim MaminZack MacEwenStefan Noesen40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian JarosKevin Bahl60122
2Taylor Fedun40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Vasili PodkolzinAlex Galchenyuk60122
2Zack MacEwenMaxim Mamin40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian JarosKevin Bahl60122
2Taylor Fedun40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Vasili Podkolzin60122Christian JarosKevin Bahl60122
2Alex Galchenyuk40122Taylor Fedun40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Vasili PodkolzinAlex Galchenyuk60122
2Zack MacEwenMaxim Mamin40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian JarosKevin Bahl60122
2Taylor Fedun40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Vasili PodkolzinAlex GalchenyukJoey AndersonChristian JarosKevin Bahl
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Vasili PodkolzinAlex GalchenyukJoey AndersonChristian JarosKevin Bahl
Extra Forwards
Normal PowerPlayPenalty Kill
Nicholas Shore, Marian Studenic, Tim SchallerNicholas Shore, Marian StudenicTim Schaller
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Gross, Pierre-Olivier Joseph, Taylor FedunJordan GrossPierre-Olivier Joseph, Taylor Fedun
Penalty Shots
Vasili Podkolzin, Alex Galchenyuk, Zack MacEwen, Maxim Mamin, Joey Anderson
Goalie
#1 : , #2 : Dustin Tokarski


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
1Pantheres514000001623-72110000086230300000817-920.2001627430062340514413721126132200865187191052.63%231630.43%024647451.90%23750846.65%16832252.17%444249474198377189
2Rambo7430000027225321000001183422000001614280.5712739660062340521813721126132220754616227829.63%231056.52%124647451.90%23750846.65%16832252.17%444249474198377189
3Trashers440000001257220000007252200000053281.000122032006234051041372112613211528269923939.13%13469.23%024647451.90%23750846.65%16832252.17%444249474198377189
4Wolf Pack54100000191452110000066033000000138580.80019345300623405175137211261321816036115261038.46%18666.67%024647451.90%23750846.65%16832252.17%444249474198377189
Total21138000007464109630000032221012750000042420260.619741201940062340564113721126132716249159463953738.95%773653.25%124647451.90%23750846.65%16832252.17%444249474198377189
_Since Last GM Reset21138000007464109630000032221012750000042420260.619741201940062340564113721126132716249159463953738.95%773653.25%124647451.90%23750846.65%16832252.17%444249474198377189
_Vs Conference161240000058411775200000241689720000034259240.75058931510062340549713721126132516163108376762735.53%542062.96%124647451.90%23750846.65%16832252.17%444249474198377189
_Vs Division1081000003537-24310000014122650000002125-4160.800356196006234053191372112613238114687202452044.44%412246.34%024647451.90%23750846.65%16832252.17%444249474198377189

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2126L27412019464171624915946300
All Games
GPWLOTWOTL SOWSOLGFGA
2113800007464
Home Games
GPWLOTWOTL SOWSOLGFGA
96300003222
Visitor Games
GPWLOTWOTL SOWSOLGFGA
127500004242
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
953738.95%773653.25%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13721126132623405
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
24647451.90%23750846.65%16832252.17%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
444249474198377189


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 - 2023-01-213Sea Dogs4Wolf Pack2WBoxScore
2 - 2023-01-2211Sea Dogs6Wolf Pack4WBoxScore
3 - 2023-01-2319Wolf Pack3Sea Dogs4WXBoxScore
4 - 2023-01-2427Wolf Pack3Sea Dogs2LBoxScore
5 - 2023-01-2535Sea Dogs3Wolf Pack2WXBoxScore
8 - 2023-01-2858Trashers1Sea Dogs2WXBoxScore
9 - 2023-01-2962Trashers1Sea Dogs5WBoxScore
10 - 2023-01-3066Sea Dogs2Trashers1WXBoxScore
11 - 2023-01-3170Sea Dogs3Trashers2WXBoxScore
15 - 2023-02-0485Sea Dogs3Rambo5LBoxScore
16 - 2023-02-0587Sea Dogs7Rambo5WBoxScore
17 - 2023-02-0689Rambo2Sea Dogs1LBoxScore
18 - 2023-02-0791Rambo2Sea Dogs4WBoxScore
19 - 2023-02-0893Sea Dogs1Rambo2LBoxScore
20 - 2023-02-0995Rambo4Sea Dogs6WBoxScore
21 - 2023-02-1097Sea Dogs5Rambo2WBoxScore
22 - 2023-02-1199Sea Dogs2Pantheres4LBoxScore
23 - 2023-02-12100Sea Dogs4Pantheres7LBoxScore
24 - 2023-02-13101Pantheres2Sea Dogs5WBoxScore
25 - 2023-02-14102Pantheres4Sea Dogs3LBoxScore
26 - 2023-02-15103Sea Dogs2Pantheres6LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance15,8327,653
Attendance PCT87.96%85.03%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-8 2609 - 86.98% 130,485$1,174,368$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,240,000$ 2,240,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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