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 : 63
Next Games #1 vs Comets

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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.
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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
1Tye Kartye0X100.007540766773848866676264616563664450650
2Byron Froese0X100.007038826373828662686159646073753550640
3Lane Pederson0X100.007341766276838163706264616368693750640
4Drake Caggiula0X100.007038786466828162656359606171723550630
5Brendan Lemieux0X100.008370586680767463576058625670696550630
6Zachary L'Heureux (R)0X100.007355526572877263676461626661638050630
7Max Willman0X100.006737886471838163665862616469704750630
8Marat Khusnutdinov (R)0X100.006534886668826365646256686661647650620
9Reid Schaefer (R)0X100.008642805895797157545655615861637750610
10Stephen Halliday (R)0X100.007739946286716058746550615463646250610
11Karson Kuhlman0X100.006636955969818257615658665769713650610
12Ryan Dzingel0X100.006338856672766558625661556372743050600
13Ivan Ivan0X100.006337915872797256665957555862644650590
14Adam Sykora (R)0X100.005835955766757254585655535961636950570
15Max Lajoie0X100.006839776376778362306458615067694950640
16Nikolas Brouillard0X100.007052586164728758306454564769713650610
17Topias Vilen (R)0X100.006738916076686959306653584761635850610
18Wyatt Newpower0X100.007345655682647755305452574567693750600
19Blake Hillman0X100.006738935576667654305652574668704150600
20Mike Benning0X100.005738785966757358305754534762646350580
Scratches
TEAM AVERAGE100.00704280627477766054605760576668515062
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Louis Domingue100.00768479857574767574767574864950750
2Oscar Dansk100.00717873847069717069717072846250710
Scratches
1Isaac Poulter100.00737874757271737271737263694350700
TEAM AVERAGE100.0073807581727173727173727080515072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ben Simon66636475696580USA4581,000,000$


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
Adam SykoraLW202004-09-07Yes179 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Blake HillmanD281996-01-26No193 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brendan LemieuxLW281996-03-15No215 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Byron FroeseC331991-03-12No195 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Drake CaggiulaLW301994-06-20No176 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Isaac PoulterG232001-09-12No174 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ivan IvanC222002-08-20No190 Lbs6 ft0NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Karson KuhlmanC291995-09-26No184 Lbs5 ft10NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Lane PedersonC271997-08-04No192 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Louis DomingueG321992-03-06No209 Lbs6 ft3NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Marat KhusnutdinovC222002-07-17Yes176 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Max LajoieD261997-11-05No191 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Max WillmanC291995-02-13No184 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Mike BenningD222002-01-05No185 Lbs5 ft9NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Nikolas BrouillardD291995-02-07No168 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Oscar DanskG301994-02-28No204 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Reid SchaeferLW212003-09-21Yes226 Lbs6 ft5NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Ryan DzingelC321992-03-09No190 Lbs6 ft0NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Stephen HallidayC222002-07-02Yes213 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Topias VilenD212003-04-01Yes194 Lbs6 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Tye KartyeLW232001-04-30No202 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Wyatt NewpowerD261997-12-09No194 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Zachary L'HeureuxLW212003-05-15Yes197 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2325.91193 Lbs6 ft02.65484,783$



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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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
8 - 2024-09-231Crunch-Comets-
9 - 2024-09-2413Senators-Crunch-
15 - 2024-09-3034Crunch-Rocket-
16 - 2024-10-0144Crunch-Rocket-
17 - 2024-10-0260Crunch-Senators-
22 - 2024-10-0772Penguins-Crunch-
23 - 2024-10-0885Crunch-Penguins-
29 - 2024-10-14112Wolfpack-Crunch-
30 - 2024-10-15124Senators-Crunch-
34 - 2024-10-19142Crunch-Wolfpack-
37 - 2024-10-22160Monsters-Crunch-
41 - 2024-10-26185Crunch-Senators-
43 - 2024-10-28192Rocket-Crunch-
44 - 2024-10-29205Crunch-Comets-
50 - 2024-11-04229Comets-Crunch-
51 - 2024-11-05247Bears-Crunch-
55 - 2024-11-09263Senators-Crunch-
57 - 2024-11-11273Crunch-Americans-
58 - 2024-11-12281Americans-Crunch-
62 - 2024-11-16302Rocket-Crunch-
64 - 2024-11-18310Crunch-Monsters-
65 - 2024-11-19321Crunch-Monsters-
69 - 2024-11-23345Crunch-Senators-
71 - 2024-11-25353Bears-Crunch-
72 - 2024-11-26365Comets-Crunch-
76 - 2024-11-30391Crunch-Americans-
78 - 2024-12-02402Crunch-Americans-
85 - 2024-12-09430Crunch-Rocket-
86 - 2024-12-10438Crunch-Rocket-
90 - 2024-12-14466Crunch-Marlies-
92 - 2024-12-16471Senators-Crunch-
93 - 2024-12-17485Phantoms-Crunch-
97 - 2024-12-21503Crunch-Comets-
99 - 2024-12-23510Marlies-Crunch-
100 - 2024-12-24525Americans-Crunch-
104 - 2024-12-28548Bruins-Crunch-
106 - 2024-12-30558Crunch-Islanders-
107 - 2024-12-31571Crunch-Bruins-
109 - 2025-01-02588Comets-Crunch-
113 - 2025-01-06603Islanders-Crunch-
114 - 2025-01-07616Monsters-Crunch-
120 - 2025-01-13652Crunch-Americans-
121 - 2025-01-14662Americans-Crunch-
127 - 2025-01-20677Comets-Crunch-
128 - 2025-01-21695Crunch-Bears-
132 - 2025-01-25712Crunch-Marlies-
134 - 2025-01-27725Crunch-Americans-
135 - 2025-01-28735Crunch-Phantoms-
141 - 2025-02-03769Marlies-Crunch-
142 - 2025-02-04782Rocket-Crunch-
148 - 2025-02-10815Penguins-Crunch-
149 - 2025-02-11828Americans-Crunch-
150 - 2025-02-12840Crunch-Comets-
155 - 2025-02-17861Crunch-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19886Crunch-Penguins-
160 - 2025-02-22892Comets-Crunch-
162 - 2025-02-24902Thunderbirds-Crunch-
163 - 2025-02-25917Crunch-Thunderbirds-
169 - 2025-03-03949Crunch-Phantoms-
170 - 2025-03-04963Americans-Crunch-
176 - 2025-03-10991Comets-Crunch-
177 - 2025-03-111004Americans-Crunch-
178 - 2025-03-121019Crunch-Americans-
181 - 2025-03-151030Crunch-Senators-
183 - 2025-03-171039Marlies-Crunch-
184 - 2025-03-181051Crunch-Marlies-
188 - 2025-03-221074Crunch-Comets-
190 - 2025-03-241080Phantoms-Crunch-
191 - 2025-03-251095Rocket-Crunch-
195 - 2025-03-291113Crunch-Bears-
197 - 2025-03-311126Crunch-Comets-
198 - 2025-04-011141Comets-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
11,170$ 111,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,120$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 197 5,585$ 1,100,245$




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
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
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
177233280212629026426361812000241521312136151602102138133581290441731130123798426320851832927238771270312803476017.29%2946577.89%11186228052.02%946219343.14%608118851.18%168612591905470774367
1872106100100169412-243365310000086195-109365300010083217-1342116932149010073435319540637601716324290166612302853512.28%2507171.60%4709184738.39%802238633.61%451118338.12%11217512432517766310
Total Regular Season542239226018231719168816464227112210707111311881788932711171190111248807858-515901688293046188490668508477160110518951615535150434426685610162279243815.69%279444684.04%3491291671754.61%79541605849.53%4361824552.89%13234948813303375262513109
Playoff
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
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
Total Playoff271017000004869-211156000002028-816511000002841-1320488613404014151664501892021887241924095831711810.53%1752884.00%044793347.91%45694448.31%17839245.41%666447767227371179