Griffins

GP: 5 | W: 4 | L: 1 | OTL: 0 | P: 8
GF: 30 | GA: 3 | PP%: 30.00% | PK%: 91.67%
GM : Laurent Laporte | Morale : 50 | Team Overall : 62
Next Games #63 vs Americans

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
1Dylan Cozens24XX99.005842817682879075777674697863658750710
2Wyatt Johnston0X99.005535937674867574736772597759628350670
3Jonatan Berggren0XX99.006136917072828768636469627163657750660
4Julien Gauthier0X100.008240956791748068546067626566687850650
5Carson Meyer0X100.007139736669838263666759626567664750640
6Jack Studnicka0XX100.006935836475787963786158656863656850630
7Cole Cassels0X100.006139786270748558706657596368705350620
8Elliot Desnoyers0XX100.007336946369837259625861665762635750620
9Jaret Anderson-Dolan0XXX100.007134836472788062745763606263657250620
10Wayne Simmonds0XX100.008385616377737661656257555988763550620
11Michal Teply0X100.007238955881798157615958605662646250610
12Andrej Sustr0X100.008343756299808157306655684875762650680
13William Lagesson0X99.007141806082798058306555604867695450640
14Jakub Galvas0X100.005636916365858459306052644764664850630
15Jeremie Poirier0X100.006840766177837258306556594961636650620
16Josh Jacobs0X100.007139865580717754305655574667696350610
17Brandon Davidson0X100.007342715482657053305554564672743050600
18Jett Woo0X100.006642685575698053305554574663657650590
Scratches
1Matt Luff0X100.007038926580847867696862636766684250650
2Axel Jonsson-Fjallby0X95.836538956675778364596267636665675450640
3Marc McLaughlin0X100.006639796275777459635864576265664350610
4Brandon Coe0X100.007539905584656953605654585262646350580
5Riley Sutter0X100.007942785388708052595354585364666150580
6Stelio Mattheos0X100.006841745777757456575554535864666450580
7Reece Newkirk0X100.006140735570696454645752535662645650560
8Blake McLaughlin0X100.005536885264686551525353505163656450540
9Michael Callahan0X100.007139845380647252305453554564665450580
10Xavier Bernard0X100.007540845284626851305251564563656050580
TEAM AVERAGE99.68694183617776775953605960576567595062
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
1Lukas Dostal98.00748281757372747372747363696350710
2Evan Cormier100.00675657836665676667686665755950660
Scratches
TEAM AVERAGE99.0071696979706971707071706472615069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brent Thompson68637068807572CAN522100,000$


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
1Andrew CoglianoDetroit Red WingsC/LW44111511007142161719.05%19122.891346120001171073.17%4100003.2800000111
2Wyatt JohnstonGriffins (Det)C593121100183272028.12%011823.712246160000241081.52%9200022.0200000202
3Julien GauthierGriffins (Det)RW5178121209720795.00%09218.551016140222110075.00%800001.7200000010
4Jonatan BerggrenGriffins (Det)LW/RW524650064214149.52%19919.990222161121140078.26%2300001.2000000010
5Jakub GalvasGriffins (Det)D523510004351440.00%512324.66011118101122000.00%000000.8100000010
6Elliot DesnoyersGriffins (Det)C/LW513430028195105.26%16513.10000120000600100.00%200001.2200000001
7Jack StudnickaGriffins (Det)C/RW52243951171421714.29%18016.03011113000000075.00%8000001.0000000000
8Jaret Anderson-DolanGriffins (Det)C/LW/RW504430058111120.00%15310.6500000000000076.92%6500001.5000000000
9Cole CasselsGriffins (Det)C50334001412230.00%1418.2800002000020075.00%4000001.4500000000
10Jeremie PoirierGriffins (Det)D51237201450720.00%110621.35000213000020000.00%000000.5600000000
11Carson MeyerGriffins (Det)RW521336045136715.38%05210.460000000000000.00%000001.1500000000
12Michal TeplyGriffins (Det)RW51234202181512.50%0357.14000000000010100.00%400001.6800000000
13Josh JacobsGriffins (Det)D52137406070428.57%110621.25011313000017100.00%000000.5600000100
14Axel Jonsson-FjallbyGriffins (Det)LW512336029211174.76%06412.9210159000000066.67%600000.9300000000
15Jett WooGriffins (Det)D5022640401340.00%07114.220000000003000.00%000000.5600000000
16Andrej SustrGriffins (Det)D31126007230233.33%14916.641012900005000.00%000000.8000000000
17Wayne SimmondsGriffins (Det)LW/RW51124406260416.67%0357.130000000000000.00%000001.1200000000
18William LagessonGriffins (Det)D3022440612040.00%17123.7200008000013000.00%000000.5600000000
19Brandon DavidsonGriffins (Det)D5000600433010.00%27114.270000000002000.00%000000.0000000000
20Dylan CozensGriffins (Det)C/LW1000000113140.00%22121.6000014000070050.00%1400000.0000000000
Team Total or Average9130548411253589912274716513.22%19145215.97610163615623551704076.27%37500021.1600000444
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
1Lukas DostalGriffins (Det)54100.9670.60299033900100.000050010
Team Total or Average54100.9670.60299033900100.000050010


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
Andrej SustrD331990-11-29No217 Lbs6 ft7NoNoNo3UFAPro & Farm650,000$0$0$NoLink / NHL Link
Axel Jonsson-Fjallby (Out of Payroll)LW261998-02-10No189 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Blake McLaughlinLW242000-02-14No160 Lbs5 ft11NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brandon CoeRW222001-12-01No188 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Brandon DavidsonD321991-08-21No209 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Carson MeyerRW261997-08-18No184 Lbs5 ft11NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cole CasselsC291995-05-04No180 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Dylan CozensC/LW232001-02-09No195 Lbs6 ft3NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Elliot DesnoyersC/LW222002-01-21No183 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Evan CormierG261997-11-06No200 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jack StudnickaC/RW251999-02-18No187 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jakub GalvasD241999-06-15No161 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jaret Anderson-DolanC/LW/RW241999-09-12No200 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jeremie PoirierD212002-06-02No196 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Jett WooD232000-07-27No205 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jonatan BerggrenLW/RW232000-07-16No197 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Josh JacobsD281996-02-15No200 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Julien GauthierRW261997-10-15No224 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Lukas DostalG232000-06-22No174 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Marc McLaughlinC241999-07-26No203 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt LuffRW271997-05-05No196 Lbs6 ft2NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Michael CallahanD241999-09-23No197 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michal TeplyRW222001-05-27No187 Lbs6 ft3NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Reece NewkirkC232001-02-20No178 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Riley SutterC241999-10-25No210 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Stelio MattheosRW241999-06-14No196 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Wayne SimmondsLW/RW351988-08-26No184 Lbs6 ft2NoNoNo1UFAPro & Farm600,000$0$0$NoLink / NHL Link
William LagessonD281996-02-22No207 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Wyatt JohnstonC202003-05-14No185 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Xavier BernardD232000-06-01No205 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3025.13193 Lbs6 ft12.50461,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan CozensWyatt JohnstonJulien Gauthier40122
2Jack StudnickaJonatan Berggren30122
3Elliot DesnoyersJaret Anderson-DolanCarson Meyer20122
4Wayne SimmondsCole CasselsMichal Teply10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1William LagessonJakub Galvas40122
2Jeremie PoirierJosh Jacobs30122
3Brandon DavidsonJett Woo20122
4William LagessonJakub Galvas10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dylan CozensWyatt JohnstonJonatan Berggren60122
2Jack StudnickaJulien Gauthier40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1William LagessonJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dylan CozensWyatt Johnston60122
2Jonatan BerggrenJulien Gauthier40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1William LagessonJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dylan Cozens60122William LagessonJakub Galvas60122
2Wyatt Johnston40122Jeremie PoirierJosh Jacobs40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dylan CozensWyatt Johnston60122
2Jonatan BerggrenJulien Gauthier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1William LagessonJakub Galvas60122
2Jeremie PoirierJosh Jacobs40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dylan CozensWyatt JohnstonJonatan BerggrenWilliam LagessonJakub Galvas
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonatan BerggrenDylan CozensJulien GauthierWilliam LagessonJakub Galvas
Extra Forwards
Normal PowerPlayPenalty Kill
Wyatt Johnston, Dylan Cozens, Jonatan BerggrenWyatt Johnston, Dylan CozensDylan Cozens
Extra Defensemen
Normal PowerPlayPenalty Kill
Brandon Davidson, Jett Woo, Jeremie PoirierBrandon DavidsonJett Woo, Jeremie Poirier
Penalty Shots
Dylan Cozens, Wyatt Johnston, Jonatan Berggren, Julien Gauthier,
Goalie
#1 : Lukas Dostal, #2 : Evan Cormier


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
58L13054842279019538903
All Games
GPWLOTWOTL SOWSOLGFGA
5410000303
Home Games
GPWLOTWOTL SOWSOLGFGA
3210000173
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2200000130
Last 10 Games
WLOTWOTL SOWSOL
410000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20630.00%24291.67%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
6478850109110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14218178.45%8411374.34%608174.07%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
17413772255332


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
2 - 2024-04-215Wolves1Griffins8WBoxScore
4 - 2024-04-2313Wolves0Griffins8WBoxScore
6 - 2024-04-2521Griffins6Wolves0WBoxScore
8 - 2024-04-2729Griffins7Wolves0WBoxScore
16 - 2024-05-0559Americans2Griffins1LBoxScore
18 - 2024-05-0763Americans-Griffins-
20 - 2024-05-0967Griffins-Americans-
22 - 2024-05-1171Griffins-Americans-
24 - 2024-05-1375Americans-Griffins-
26 - 2024-05-1579Griffins-Americans-
28 - 2024-05-1783Americans-Griffins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5,9862,965
Attendance PCT99.77%98.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2984 - 99.46% 74,502$223,507$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 138,500$ 0$ 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$ 12 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
1854100000303273210000017314220000001301383054840310911022764788509019538920630.00%24291.67%214218178.45%8411374.34%608174.07%17413772255332
Total Playoff54100000303273210000017314220000001301383054840310911022764788509019538920630.00%24291.67%214218178.45%8411374.34%608174.07%17413772255332