Griffins

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Samuel Bessette | Morale : 75 | Team Overall : 60
Next Games #6 vs Condors

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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
Scratches
1Alex Bump (R)X100.006437866873898067636668626764655775650
2Amadeus LombardiX100.006337896863867765706766616863655975640
3Dans Locmelis (R)X100.005937956568847663706467616562645975630
4Cam LundX100.006838906479886863656261606362647775620
5Owen BeckX100.006839826674808862676058646162657775620
6Cross HanasXXX100.006339836172788158626059576364666875600
7Danil ZhilkinX100.006637915776758358635955645863656775600
8Joey Willis (R)X100.006037905769778155605856545761636175590
9Robert MastrosimoneX100.005538805864757856545759555865676875590
10Chase BradleyX100.005939745668758055515357585664664875580
11Carson Rehkopf (R)X100.007038905679748653505154555261637275580
12Gleb TrikozovX100.007240825781767254555256535862646875580
13Sam Stange (R)X100.007237955481697153515055575665676075580
14Ayrton Martino (R)X100.005536955764637556535452555864666375570
15Tristan LuneauX100.006938886580848662306463615262647175640
16Declan CarlileX100.007144726581838258306156644966684275620
17Donovan SebrangoX100.007548626385807758306555614864666875610
18William WallinderX100.007639925985668457305852564564667575600
19Ludvig Jansson (R)X100.005836896270837258306054574863655875590
20Caden Price (R)X100.006638895875647457305653554661636575580
21Mattias Havelid (R)X100.005536895864667656305755524765677175580
22Chase Pietila (R)X100.006948655578658554305351564562646175570
23Cooper Moore (R)X100.006541705474637353305552564565675575570
24Otto Salin (R)X100.006137855570647654305652534562645575570
TEAM AVERAGE100.00653984607475785847585758556365647560
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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
Scratches
1Carter Gylander (R)100.00727369807170727170727165734775630
2Damian Clara (R)100.00627269956160626160626163656875570
TEAM AVERAGE100.0067736988666567666567666469587560
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joel Ward63727371676381CAN4511,000,000$


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
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


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
Alex BumpLW242003-11-20Yes195 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Amadeus LombardiC242003-06-05No165 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ayrton MartinoLW252002-09-28Yes160 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Caden PriceD222005-08-24Yes186 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cam LundC232004-06-07No195 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Carson RehkopfLW222005-01-07Yes193 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Carter GylanderG262001-06-05Yes170 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Chase BradleyLW252002-01-09No180 Lbs5 ft11NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Chase PietilaD232004-03-03Yes186 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cooper MooreD262001-02-16Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cross HanasC/LW/RW252002-01-05No171 Lbs6 ft1NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Damian ClaraG222005-01-13Yes214 Lbs6 ft6NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Danil ZhilkinC242003-12-19No192 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dans LocmelisC232004-01-21Yes170 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Declan CarlileD272000-05-18No190 Lbs6 ft3NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Donovan SebrangoD252002-01-12No223 Lbs6 ft2NoNoNo1RFAPro & Farm873,600$0$0$NoLink / NHL Link
Gleb TrikozovLW232004-08-12No201 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Joey WillisLW222005-03-14Yes184 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ludvig JanssonD242003-12-27Yes176 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Mattias HavelidD262001-01-04Yes170 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Otto SalinD232004-03-07Yes187 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Owen BeckC232004-02-03No199 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Robert MastrosimoneLW262001-01-24No170 Lbs5 ft10NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Sam StangeRW262001-04-20Yes216 Lbs6 ft1NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tristan LuneauD232004-01-12No211 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
William WallinderD252002-07-28No191 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.12188 Lbs6 ft12.27917,254$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 - 2026-09-196Condors-Griffins-
2 - 2026-09-2022Griffins-Roadrunners-
4 - 2026-09-2246Thunderbirds-Griffins-
5 - 2026-09-2354Griffins-Gulls-
7 - 2026-09-2579Bears-Griffins-
8 - 2026-09-2688Griffins-Rocket-
10 - 2026-09-28101Griffins-Americans-
11 - 2026-09-29124Wolf Pack-Griffins-
13 - 2026-10-01132Griffins-Barracuda-
14 - 2026-10-02149Stars-Griffins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
5 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,384,860$ 2,384,860$ 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$ 14 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
Regular Season
2020562322025401881853281012013208897-92813100122010088126318834052801071634819200607651639192254849912881513523.18%2015075.12%21036203950.81%1081202853.30%48290753.14%13279091336416732365
202182284003245246272-2641151701125119126-741132302120127146-197724644969510090777226360829857906266577862419542445723.36%2617172.80%11523299350.89%1409289848.62%637131348.51%1986136319246021070537
202282333402436272286-1441181501115147150-341151901321125136-1186272486758320106867528060953872946286981673018913005618.67%3246380.56%21574296353.12%1516303150.02%672131751.03%1952134719776151044513
202382373102462276289-13412310012411631461741142101221113143-3096276488764140841057928280903964930278380072820003065116.67%3126180.45%41494301649.54%1404291548.16%680137649.42%1952134619646011054526
202482333204553234225941161603222115121-641171601331119104159223440363713080717423630741793785240164555619252634918.63%2494681.53%21365272550.09%1402278450.36%637128049.77%1923132420076161051521
202582343402435213218-541171601421103102141171801014110116-68721338760013075706322570677806742235470749918472645721.59%2173782.95%31334262450.84%1294262449.31%628126549.64%1976136319226001075543
Total Regular Season46618819301524252114291475-46233998608131314735742-7233891070711127694733-395011429255339827130506472411148100471049434948149944294363610905152830519.96%156432879.03%1483261636050.89%81061628049.79%3736745850.09%11118765511132345260273007
Playoff
202051400000622-162020000029-731200000413-926121800032112904539451845042123800.00%20385.00%07815450.65%8519743.15%398645.35%10770129386230
2022514000002024-420200000911-2312000001113-2220345400041061700495653190594613121314.29%21385.71%09420047.00%9820049.00%438848.86%12584123406734
2023404000001117-62020000058-32020000069-301119300003441260394441140406411010220.00%22768.18%06113445.52%6615742.04%275648.21%8960105305023
20241477000003132-16420000016124835000001520-514315889020716832901071111084101366933340717.50%31583.87%017439544.05%19047939.67%8821441.12%31621536110618389
Total Playoff28919000006895-271248000003240-816511000003655-1918681231910201732197540240250247924285221697791215.19%941880.85%040788346.09%439103342.50%19744444.37%638432720216365177