Crunch

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : David Cousineau | Morale : 75 | Team Overall : 62

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
1Boris KatchoukXX100.007459816483868263666261656368706175640
2Victor ManciniX100.007741886489848259306456604965664875630
3Nolan AllanX100.007054716379828462306454654963657775620
4William LagessonX100.007340806283827759306754604770725175620
Scratches
1Adam KlapkaX100.009258666799838768656266696368674275670
2Matt Luff (A)X100.007741816687868365626468676970713675660
3Jack FinleyX100.008451776598757664786362686165676675650
4Nick CousinsXX100.007762716871798564576562666381743975650
5Jakob PelletierXX100.006635936765838665746963646765667775640
6Cole GuttmanX100.006238806663908663686564606667694275630
7Dylan RoobroeckX100.008853725897808757605659645562644975620
8Maxim Groshev (R)X100.006639886380868262306155575165676175620
9Noel GunlerX100.006740766076808457555861566265677175610
10Ty MuellerX100.006337866269808558646059656163666275610
11Sammy WalkerX100.005737886066838259636158555767694275600
12Kalle Vaisanen (R)X100.007337955482656952565053555163656075580
13Redmond Savage (R)X100.005938855669687054635355625663655975580
14Chase Yoder (R)X100.005737865566716853635254515564664875560
15Dennis GilbertX100.007773696484747163306950655170725275630
16Maxwell CrozierX100.007345686684867762306856674966685675630
17Adam Engstrom (R)X100.006739836479818462306355644863656275620
18Daemon HuntX100.006637916376777559306552664764676375620
19Taige Harding (R)X100.009048555999647756305852624564666275610
20Carson Lambos (R)X100.006439795977758657305554614563658075590
21David Spacek (R)X100.006237896069768557306153564763654975590
22Eamon Powell (R)X100.005537805865706856305756534764665875580
23Roman SchmidtX100.008448585493647853305152594563656275580
TEAM AVERAGE100.00714479628078806048615762546667577562
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
1Magnus Chrona100.00738177857271737271737266754775630
Scratches
1Jaxson Stauber100.00758379787473757473757467775375640
2Amir Miftakhov (R)100.00717673727069717069717066754775620
TEAM AVERAGE100.0073807678727173727173726676497563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Foote77737574817668CAN541450,000$


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
Adam EngstromD232003-11-17Yes193 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Adam KlapkaRW262000-09-14No235 Lbs6 ft8NoNoNo1RFAPro & Farm943,000$0$0$NoLink / NHL Link
Amir MiftakhovG262000-04-26Yes172 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Boris KatchoukLW/RW281998-06-18No212 Lbs6 ft2NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Carson LambosD232003-01-14Yes197 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Chase YoderC242002-05-28Yes176 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cole GuttmanC271999-04-06No167 Lbs5 ft9NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Daemon HuntD242002-05-15No193 Lbs6 ft1NoNoNo2RFAPro & Farm977,200$0$0$NoLink / NHL Link
David SpacekD232003-02-18Yes174 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dennis GilbertD301996-10-30No216 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Dylan RoobroeckC222004-07-27No207 Lbs6 ft7NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Eamon PowellD242002-05-10Yes165 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jack FinleyC242002-09-02No227 Lbs6 ft6NoNoNo2RFAPro & Farm981,200$0$0$NoLink / NHL Link
Jakob PelletierC/LW252001-03-07No172 Lbs5 ft10NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Jaxson StauberG271999-04-27No174 Lbs6 ft3NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Kalle VaisanenLW232003-01-28Yes178 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Magnus ChronaG262000-08-28No194 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matt LuffRW291997-05-05No219 Lbs6 ft3NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Maxim GroshevLW252001-12-14Yes196 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Maxwell CrozierD262000-04-19No204 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Nick CousinsC/LW331993-07-20No191 Lbs5 ft11NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Noel GunlerRW252001-10-07No176 Lbs6 ft2NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Nolan AllanD232003-04-28No195 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Redmond SavageC232003-05-15Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Roman SchmidtD232003-02-27No216 Lbs6 ft5NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Sammy WalkerC271999-06-07No180 Lbs5 ft10NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Taige HardingD242002-01-03Yes235 Lbs6 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ty MuellerC232003-02-26No185 Lbs5 ft11NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Victor ManciniD242002-05-26No229 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
William LagessonD301996-02-22No211 Lbs6 ft2NoNoNo2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3025.33196 Lbs6 ft21.43690,047$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Boris Katchouk35122
235122
323122
47122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1William Lagesson35122
2Nolan Allan35122
3Victor Mancini30122
4William Lagesson0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Boris Katchouk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1William Lagesson60122
2Victor Mancini40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1William Lagesson60122
2Victor ManciniNolan Allan40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122William Lagesson60122
240122Victor ManciniNolan Allan40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1William Lagesson60122
2Victor ManciniNolan Allan40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukWilliam Lagesson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Boris KatchoukWilliam Lagesson
Extra Forwards
Normal PowerPlayPenalty Kill
, , Boris Katchouk, Boris Katchouk
Extra Defensemen
Normal PowerPlayPenalty Kill
, Victor Mancini, William LagessonVictor Mancini, Nolan Allan
Penalty Shots
, , , ,
Goalie
#1 : , #2 : Magnus Chrona


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
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
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



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
41 0 - 0.00%0$0$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,070,140$ 2,070,140$ 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
Regular Season
202056202503323187210-2328101003302102108-62810150002185102-175618734353010064586019760612660682206360343713891613320.50%1973980.20%01018204649.76%1107219950.34%45995548.06%12948701367429738362
202182333203914270290-2041191301611138135341141902303132155-238727046873801095908127330890903905278978670519632455622.86%2847075.35%31577296453.21%1618308852.40%741137453.93%1954134419536101065531
202282293608522273300-2741181604111138145-741112004411135155-2085273494767200109847027140886907892283377893619942805519.64%3888378.61%21510296151.00%1542300451.33%712134253.06%1952133119446181062525
20238244280511330525055412412030111601223841201602102145128171043055558601401148510028060918894968261682688919593036621.78%3786483.07%61709304556.12%1618293955.05%747136454.77%2018140318956051036522
20248240280642223420727412313032001251042141171503222109103610223441765125079806724320826796780210263158718652565320.70%2423983.88%31551279255.55%1326243854.39%694124755.65%2055143818435911059538
20258241270434325923524411915021221271189412212022211321171510425947072931078829124450765808838234168871820752485220.97%3035482.18%31498278453.81%1373264151.99%677129152.44%1998138019096051066532
Total Regular Season466207176029251217152814923623311379016135779073258233949701312710738760-225381528274742759110539479469151060489749685065147444312427211245149331521.10%179234980.52%1788631659253.42%85841630952.63%4030757353.22%11274776810913346160293013
Playoff
2023171070000054468963000003527884400000191902054100154000271885850180200180529131160432641421.88%721283.33%033562953.26%32860354.39%13524954.22%439306406130223111
20242715120000061538159600000373071266000002423130611101711402417187320246246231695195169593781417.95%78988.46%151188058.07%47685056.00%21238055.79%680478604194342175
20251257000003543-8743000002324-1514000001219-71035691041001461240801349912240011512031635411.43%561867.86%023644353.27%21744648.65%10420650.49%3232243089316583
Total Playoff56302600000150142831191200000958114251114000005561-66015027942924065413817250560545533162444144913411773218.08%2063981.07%11082195255.43%1021189953.77%45183554.01%144310101319417731369