Crunch

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Nick Fournier | Morale : 50 | Team Overall : 65
Next Games #2 vs Comets

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PriorityTypeDescription
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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.
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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
1Mason McTavish0X100.006035837477867771727370587159619150670
2Brendan Perlini0XX100.007741826586857264595866626567697250640
3Byron Froese0X100.006939766278868363796462636272743750640
4Ryan Dzingel0XXX100.006242737074816967726263596673743850640
5Karson Kuhlman0XX100.006933956667797763606158696168693650630
6Lane Pederson0X100.007541796373817857785966586167684250620
7Max Willman0X100.006637826071808659655859616068704950610
8Tuukka Tieksola0X100.006036896260676958626057535862645950580
9Nikolas Brouillard0X100.005544586064758659306455564868703650600
10Wyatt Newpower0X100.007343705682658154305352554566684250600
11Blake Hillman0X100.006739885576667054305650574567694250590
12Ole Bjorgvik-Holm0X100.006938935278626351305250544561635650570
13Zach Uens0X100.006440745373646352305452534562646250560
Scratches
1Tye Kartye0XX100.006441716573857364666365626562644350630
TEAM AVERAGE100.00663980627476756055605959576668505061
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
1Anthony Stolarz100.00837469988281838281838270835950800
Scratches
1Adin Hill100.00839088898281838281838268775650800
2Mackenzie Blackwood100.00799087937877797877797869776350780
3Louis Domingue100.00756768857473757473757473855250730
4Oscar Dansk100.00706061846968706968706971836350690
5Isaac Poulter100.00675859756665676665676662674450650
TEAM AVERAGE100.0076737287757476757476756979565074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Van Ryn65707368645983CAN4411,000,000$


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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
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
Adin HillG271996-05-11No215 Lbs6 ft4NoNoNo3RFAPro & Farm2,000,000$0$0$NoLink / NHL Link
Anthony StolarzG291994-01-20No243 Lbs6 ft6NoNoNo3UFAPro & Farm1,320,000$0$0$NoLink / NHL Link
Blake HillmanD271996-01-26No193 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Brendan PerliniC/LW271996-04-27No211 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Byron FroeseC321991-03-12No202 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Isaac PoulterG222001-09-12No174 Lbs6 ft2NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Karson KuhlmanC/RW281995-09-26No184 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Lane PedersonC261997-08-04No192 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Louis DomingueG311992-03-06No208 Lbs6 ft3NoNoNo4UFAPro & Farm750,000$0$0$NoLink / NHL Link
Mackenzie BlackwoodG261996-12-09No225 Lbs6 ft4NoNoNo1RFAPro & Farm3,500,000$0$0$NoLink / NHL Link
Mason McTavishC202003-01-30No213 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Max WillmanC281995-02-13No184 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Nikolas BrouillardD281995-02-07No168 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Ole Bjorgvik-HolmD212002-05-23No190 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Oscar DanskG291994-02-28No204 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Ryan DzingelC/LW/RW311992-03-09No190 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Tuukka TieksolaRW222001-06-22No146 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Tye KartyeC/LW222001-04-30No202 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Wyatt NewpowerD251997-12-09No194 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Zach UensD222001-05-13No180 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2026.15196 Lbs6 ft12.45718,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Byron Froese40122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Byron Froese60122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Byron Froese40122
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
2Byron Froese40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Byron Froese
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Byron Froese
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , Byron Froese, ,
Goalie
#1 : , #2 :


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
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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
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
4 - 2023-08-132Crunch-Comets-
5 - 2023-08-1418Islanders-Crunch-
11 - 2023-08-2035Crunch-Monsters-
12 - 2023-08-2149Crunch-Monsters-
18 - 2023-08-2777Comets-Crunch-
19 - 2023-08-2889Rocket-Crunch-
23 - 2023-09-01110Crunch-Americans-
26 - 2023-09-04127Americans-Crunch-
30 - 2023-09-08146Crunch-Senators-
32 - 2023-09-10152Penguins-Crunch-
33 - 2023-09-11162Crunch-Penguins-
36 - 2023-09-14182Crunch-Islanders-
39 - 2023-09-17193Wolfpack-Crunch-
40 - 2023-09-18207Crunch-Wolfpack-
44 - 2023-09-22232Crunch-Comets-
46 - 2023-09-24239Comets-Crunch-
47 - 2023-09-25256Rocket-Crunch-
53 - 2023-10-01278Marlies-Crunch-
54 - 2023-10-02290Crunch-Marlies-
60 - 2023-10-08315Bears-Crunch-
61 - 2023-10-09333Comets-Crunch-
62 - 2023-10-10344Crunch-Comets-
65 - 2023-10-13353Crunch-Penguins-
68 - 2023-10-16369Crunch-Comets-
69 - 2023-10-17384Crunch-Bruins-
72 - 2023-10-20389Rocket-Crunch-
74 - 2023-10-22404Monsters-Crunch-
75 - 2023-10-23417Americans-Crunch-
79 - 2023-10-27431Crunch-Americans-
81 - 2023-10-29441Crunch-Rocket-
82 - 2023-10-30450Crunch-Rocket-
89 - 2023-11-06488Crunch-Marlies-
90 - 2023-11-07508Crunch-Marlies-
95 - 2023-11-12518Thunderbirds-Crunch-
96 - 2023-11-13536Monsters-Crunch-
98 - 2023-11-15548Comets-Crunch-
102 - 2023-11-19565Bruins-Crunch-
103 - 2023-11-20579Comets-Crunch-
109 - 2023-11-26608Rocket-Crunch-
110 - 2023-11-27626Crunch-Comets-
114 - 2023-12-01649Crunch-Americans-
116 - 2023-12-03656Senators-Crunch-
117 - 2023-12-04674Senators-Crunch-
123 - 2023-12-10691Crunch-Americans-
124 - 2023-12-11700Americans-Crunch-
128 - 2023-12-15720Crunch-Senators-
131 - 2023-12-18739Crunch-Phantoms-
137 - 2023-12-24771Crunch-Comets-
138 - 2023-12-25788Senators-Crunch-
139 - 2023-12-26801Comets-Crunch-
142 - 2023-12-29811Crunch-Americans-
144 - 2023-12-31817Marlies-Crunch-
145 - 2024-01-01831Crunch-Marlies-
149 - 2024-01-05851Crunch-Rocket-
151 - 2024-01-07864Crunch-Americans-
152 - 2024-01-08874Americans-Crunch-
Trade Deadline --- Trades can’t be done after this day is simulated!
156 - 2024-01-12897Americans-Crunch-
158 - 2024-01-14905Senators-Crunch-
159 - 2024-01-15918Crunch-Bears-
165 - 2024-01-21951Penguins-Crunch-
166 - 2024-01-22970Crunch-Thunderbirds-
167 - 2024-01-23975Crunch-Bruins-
170 - 2024-01-26987Americans-Crunch-
172 - 2024-01-28998Phantoms-Crunch-
173 - 2024-01-291013Bruins-Crunch-
179 - 2024-02-041038Crunch-Rocket-
180 - 2024-02-051050Crunch-Senators-
186 - 2024-02-111078Marlies-Crunch-
187 - 2024-02-121093Marlies-Crunch-
191 - 2024-02-161111Crunch-Senators-
193 - 2024-02-181120Crunch-Comets-
194 - 2024-02-191133Comets-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 143,700$ 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$ 195 5,865$ 1,143,675$




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
12824224045432491727741221102132129824741201302411120903010824944669511101008259220907137227491711511139218355107414.51%5767287.50%41584255661.97%1364233558.42%730118261.76%225316091733575989519
12824224045432491727741221102132129824741201302411120903010824944669511101008259220907137227491711511139218355107414.51%5767287.50%41584255661.97%1364233558.42%730118261.76%225316091733575989519
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
158243250363225618769412290342113479554121160021112210814106256469725180967975252208318448261834508102713824586313.76%4096185.09%71643275559.64%1282226256.68%716121059.17%223116161760567974508
158243250363225618769412290342113479554121160021112210814106256469725180967975252208318448261834508102713824586313.76%4096185.09%71643275559.64%1282226256.68%716121059.17%223116161760567974508
1682333902323272299-2741171900212145149-441162002111127150-2380272441713150112718525420832773913243573490513734128620.87%3867381.09%61317254051.85%1113237146.94%634130348.66%195614222079553920450
1682333902323272299-2741171900212145149-441162002111127150-2380272441713150112718525420832773913243573490513734128620.87%3867381.09%61317254051.85%1113237146.94%634130348.66%195614222079553920450
177233280212629026426361812000241521312136151602102138133581290441731130123798426320851832927238771270312803476017.29%2946577.89%11186228052.02%946219343.14%608118851.18%168612591905470774367
177233280212629026426361812000241521312136151602102138133581290441731130123798426320851832927238771270312803476017.29%2946577.89%11186228052.02%946219343.14%608118851.18%168612591905470774367
Total Regular Season9404583300364434383038246857047023415201422262215901186404470224178022228161448128216611383038521882561498011909308482811409104912096382360270501238017864501480616.07%508875085.26%60168402974056.62%143042734452.31%78201412455.37%2422517473217416470109705597
Playoff
1151400000616-102020000017-63120000059-4261218000051810203427125301361233425.88%57984.21%06714446.53%9817655.68%366654.55%10566132406229
1151400000616-102020000017-63120000059-4261218000051810203427125301361233425.88%57984.21%06714446.53%9817655.68%366654.55%10566132406229
1251400000515-102110000055030300000010-10251015010113810262628145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
1251400000515-102110000055030300000010-10251015010113810262628145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
1412750000024195541000001073734000001412214244165020104734901039487330981252479477.45%54590.74%024049348.68%21547545.26%8018942.33%34723937211218390
1412750000024195541000001073734000001412214244165020104734901039487330981252479477.45%54590.74%024049348.68%21547545.26%8018942.33%34723937211218390
15514000001319-62020000049-531200000910-12132336010355134040484612429598327725.93%26773.08%06516439.63%5112341.46%277237.50%11378124376230
15514000001319-62020000049-531200000910-12132336010355134040484612429598327725.93%26773.08%06516439.63%5112341.46%277237.50%11378124376230
Total Playoff5420340000096138-42221012000004056-16321022000005682-26409617226808028303212900378404376144838481811663423610.53%3505684.00%0894186647.91%912188848.31%35678445.41%13338941535454742358