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New York I
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : | Morale : 99 | Team Overall : 49
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Team Leaders

Team Stats
Team Info

General Manager
DivisionMetropolitan
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Name
Capacity18,000
Attendance
Season Tickets7,200


Roster Info

Pro Team20
Farm Team14
Contract Limit34 / 250
Prospects0


Salary Cap

Estimated Season Salary Cap0$
Available Salary Cap999,999,999$
Special Salary Cap Value0$
Players In Salary Cap0


Finance

Year to Date Revenue0$
Year To Date Expenses0$
Estimated Season Revenue0$
Estimated Season Expenses0$
Current Bank Account0$
Projected Bank Account0$


Team History

This Season0-0-0 (0PTS)
History69-70-6 (0.476%)
Playoff Appearances3
Playoff Record (W-L)7-12
Stanley Cup0


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 SPAgeContractSalary
1Pro PlayerXXXX100.00111727278781116572111199470000$
2Pro PlayerXXXX100.00111727278781116572111199470000$
3Pro PlayerXXXX100.00111727278781116572111199470000$
4Pro PlayerXXXX100.00111727278781116572111199470000$
5Pro PlayerXXXX100.00111727278781116572122199470000$
6Pro PlayerXXXX100.00111727278781116572111199470000$
7Pro PlayerXXXX100.00111727278781116572111199470000$
8Pro PlayerXXXX100.00111727278781116572111199470000$
9Pro PlayerXXXX100.00111727278781116572122199470000$
10Pro PlayerXXXX100.00111727278781116572111199470000$
11Pro PlayerXXXX100.00111727278781116572122199470000$
12Pro PlayerXXXX100.00111727278781116572111199470000$
13Pro PlayerXXXX100.00111727278781116572111199470000$
14Pro PlayerXXXX100.00111727278781116572111199470000$
15Pro PlayerXXXX100.00111727278781116572122199470000$
16Pro PlayerXXXX100.00111727278781116572122199470000$
17Pro PlayerXXXX100.00111727278781116572111199470000$
18Pro PlayerXXXX100.00111727278781116572111199470000$
Scratches
Farm Team
1Julian LutzX100.006260717885788076617475707559598799700172750,000$
2Brandon Coe*X100.006540877284787857535765615662647499630000$
3Jan Mysak*X100.00573494727278785053496552536464719959N0192750,000$
4Otto Koivula*XXX100.007972797294788066676465576370696899660232750,000$
5Kieffer Bellows*X100.007932967273818064596269596668678099650232750,000$
6Nolan Foote*X100.005432997283788161606065576565677899640201863,333$
7Arnaud Durandeau*X100.00644085727278785959546556616665689962002750,000$
8Ty Smith*X100.0058368878728978763084627254666882997002100$
9Rasmus Sandin*X100.007332967772787970307457725264667799690211950,000$
10Samuel Bolduc*X100.0079678872897878553057567249666868996802000$
11Bode Wilde*X100.0059369072797878643059567245677074996702100$
12Dennis Cholowski*X100.00533297728078786430675972526968809967N0232950,000$
TEAM AVERAGE100.00271836737578782619266469242727319955
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 SPAgeContractSalary
1Pro Player100.007280807576626262627075575783996601800$
2Pro Player100.007180807676585858587075595982996501800$
Scratches
Farm Team
1Domenic DiVincentiis100.00798080797985858589747558608299780182750,000$
2Jakub Skarek*100.006778768371666867666766667075996902100$
TEAM AVERAGE100.0072807978766868686970736062819970
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 Waiver Possible Contract Type Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Pro PlayerNew York IC/LW/RW/D02034-05-09No195 Lbs6 ft1NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02034-12-05No207 Lbs6 ft1NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02040-02-18No190 Lbs6 ft0NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02042-05-05No182 Lbs6 ft3NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02037-03-02No190 Lbs6 ft0NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02033-03-19No194 Lbs6 ft1NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02041-01-21No184 Lbs5 ft11NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02040-10-09No160 Lbs5 ft11NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02031-10-07No190 Lbs6 ft3NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02038-01-28No221 Lbs6 ft4NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02029-11-09No198 Lbs6 ft2NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02032-08-23No185 Lbs5 ft11NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02029-10-12No210 Lbs6 ft3NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02040-07-07No180 Lbs5 ft11NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02041-11-24No198 Lbs6 ft2NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02040-03-04No212 Lbs6 ft3NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02037-07-27No211 Lbs6 ft5NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IC/LW/RW/D02033-08-09No181 Lbs5 ft11NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IG182003-01-18 14:21:29No184 Lbs6 ft2NoNoNoNo0Pro Only0$0$NoLink
Pro PlayerNew York IG182003-03-14 11:52:06No184 Lbs6 ft3NoNoNoNo0Pro Only0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
201.80193 Lbs6 ft10.000$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
0$0$0$0$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pro PlayerPro PlayerPro Player25122
2Pro PlayerPro PlayerPro Player25122
3Pro PlayerPro PlayerPro Player25122
4Pro PlayerPro PlayerPro Player25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pro PlayerPro Player25122
2Pro PlayerPro Player25122
3Pro PlayerPro Player25122
4Pro PlayerPro Player25122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pro PlayerPro PlayerPro Player50122
2Pro PlayerPro PlayerPro Player50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Pro PlayerPro Player50122
2Pro PlayerPro Player50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Pro PlayerPro Player50122
2Pro PlayerPro Player50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Pro PlayerPro Player50122
2Pro PlayerPro Player50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Pro Player50122Pro PlayerPro Player50122
2Pro Player50122Pro PlayerPro Player50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Pro PlayerPro Player50122
2Pro PlayerPro Player50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Pro PlayerPro Player50122
2Pro PlayerPro Player50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Pro PlayerPro PlayerPro PlayerPro PlayerPro Player
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Pro PlayerPro PlayerPro PlayerPro PlayerPro Player
Extra Forwards
Normal PowerPlayPenalty Kill
Pro Player, Pro Player, Pro PlayerPro Player, Pro PlayerPro Player
Extra Defensemen
Normal PowerPlayPenalty Kill
Pro Player, Pro Player, Pro PlayerPro PlayerPro Player, Pro Player
Penalty Shots
Pro Player, Pro Player, Pro Player, Pro Player, Pro Player
Goalie
#1 : Pro Player, #2 : Pro Player
Custom OT Lines Forwards
Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player, Pro Player
Custom OT Lines Defensemen
Pro Player, Pro Player, Pro Player, Pro Player, Pro Player


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
OverallHomeVisitor
# VS Team 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 PCT 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

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%000%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%000%000%
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
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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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity60005000200040001000
Ticket Price100603525200
Attendance0%0%0%0%0%
Attendance PCT0%0%0%0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0%0$0$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 0$ 0$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 999,999,999$ 999,999,999$ 0$



Depth Chart

Left WingCenterRight Wing
Julian LutzAGE:17PO:87OV:70
Otto Koivula*AGE:23PO:68OV:66
Kieffer Bellows*AGE:23PO:80OV:65
Nolan Foote*AGE:20PO:78OV:64
Arnaud Durandeau*AGE:0PO:68OV:62
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Otto Koivula*AGE:23PO:68OV:66
Jan Mysak*AGE:19PO:71OV:59
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Otto Koivula*AGE:23PO:68OV:66
Brandon Coe*AGE:0PO:74OV:63
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47

Defense #1Defense #2Goalie
Ty Smith*AGE:21PO:82OV:70
Rasmus Sandin*AGE:21PO:77OV:69
Samuel Bolduc*AGE:20PO:68OV:68
Dennis Cholowski*AGE:23PO:80OV:67
Bode Wilde*AGE:21PO:74OV:67
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Pro PlayerAGE:0PO:1OV:47
Domenic DiVincentiisAGE:18PO:82OV:78
Jakub Skarek*AGE:21PO:75OV:69
Pro PlayerAGE:18PO:83OV:66
Pro PlayerAGE:18PO:82OV:65

Prospects

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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
ProspectTeam NameDraft YearOverall PickInformationLink

Draft Picks

Year R1
2
3
4
5
6
Conditional Draft Picks



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New York I Trade History

[2023-03-17 10:12:38] - New York I Junoirare the Farm Playoffs Champions for year 1!
[2023-03-17 10:12:25] - New York I was eliminated at round 1 of year 1.
[2023-03-17 10:11:07] - New Record for Team's Most Shots Blocked (29) in 1 Game for New York I!
[2023-03-17 10:10:58] - New Record for Team's Most Shots Blocked (22) in 1 Game for New York I!
[2023-03-17 10:09:21] - New Record for Team's Most Shots (51) in 1 Game for New York I!
[2023-03-17 10:07:12] - New Record for Team's Most Hits (88) in 1 Game for New York I!
[2023-03-17 10:07:12] - New Record for Team's Most Hits (88) in 1 Game for New York I!
[2023-03-17 10:06:27] - New Record for Team's Most Shots Blocked (21) in 1 Game for New York I!
[2023-03-17 10:06:20] - New Record for Team's Most Shots Blocked (17) in 1 Game for New York I!
[2023-03-17 10:03:36] - New Record for Team's Most Hits (60) in 1 Game for New York I!
[2023-03-17 10:03:31] - New Record for Team's Most Penalties Minutes (14) in 1 Game for New York I!
[2023-03-17 10:03:12] - New Record for Team's Most Hits (58) in 1 Game for New York I!
[2023-03-17 10:03:12] - New Record for Team's Most Penalties Minutes (8) in 1 Game for New York I!
[2023-03-17 10:03:08] - New Record for Team's Most Penalties Minutes (6) in 1 Game for New York I!
[2023-03-17 10:03:08] - New Record for Team's Most Shots Blocked (16) in 1 Game for New York I!
[2023-03-17 10:02:24] - New Record for Team's Most Hits (36) in 1 Game for New York I!
[2023-03-17 10:02:24] - New Record for Team's Most Shots Blocked (11) in 1 Game for New York I!
[2023-03-17 10:02:11] - New Record for Team's Most Hits (18) in 1 Game for New York I!
[2023-03-17 10:02:11] - New Record for Team's Most Shots Blocked (3) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Hits (10) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Penalties Minutes (2) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Shots Blocked (1) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Shots (50) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Points (21) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Assists (14) in 1 Game for New York I!
[2023-03-17 10:00:29] - New Record for Team's Most Goals (7) in 1 Game for New York I!
[2023-03-15 18:26:04] - Paxton Geisel was added to New York I.
[2023-03-15 18:26:01] - Niklas Kokko was added to New York I.
[2023-03-15 18:25:55] - Carter Bancks was added to New York I.
[2023-03-15 18:25:54] - Carson Soucy was added to New York I.
[2023-03-15 18:25:54] - Carson Gicewicz was added to New York I.
[2023-03-15 18:25:53] - Carsen Twarynski was added to New York I.
[2023-03-15 18:25:53] - Carl Soderberg was added to New York I.
[2023-03-15 18:25:52] - Carl Hagelin was added to New York I.
[2023-03-15 18:25:52] - Carl Gunnarsson was added to New York I.
[2023-03-15 18:25:51] - Carl Dahlstrom was added to New York I.
[2023-03-15 18:25:50] - Carl-Johan Lerby was added to New York I.
[2023-03-15 18:25:50] - Cameron Schilling was added to New York I.
[2023-03-15 18:25:49] - Cameron Hughes was added to New York I.
[2023-03-15 18:25:48] - Cameron Hebig was added to New York I.
[2023-03-15 18:25:48] - Cameron Gaunce was added to New York I.
[2023-03-15 18:25:47] - Cameron Darcy was added to New York I.
[2023-03-15 18:25:46] - Cameron Crotty was added to New York I.
[2023-03-15 18:25:46] - Cam Lee was added to New York I.
[2023-03-15 18:25:45] - Cam Fowler was added to New York I.
[2023-03-15 18:25:44] - Calvin de Haan was added to New York I.



[2023-03-17 10:12:38] New York I Junoir are the Farm Playoffs Champions!
[2023-03-17 10:12:38] Last 7 Days Farm Star : 1 - Gleb Trikozov of Saint-Louis junior (4-7-11) / 2 - Julian Lutz of New York I Junoir (4-4-8) / 3 - Michael Callow of Saint-Louis junior (6-1-7)
[2023-03-17 10:12:38] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:38] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:37] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:37] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:37] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:36] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:36] Last 7 Days Farm Star : 1 - Domenic DiVincentiis of New York I Junoir (0,917) / 2 - Karson King of Dallas junior (2-1-3) / 3 - Colton Point* of Dallas junior (0,893)
[2023-03-17 10:12:36] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:36] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:35] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:35] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:34] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:34] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:34] Last 30 Days Farm Star : 1 - Matias Maccelli* of Dallas junior (9-6-15) / 2 - Julian Lutz of New York I Junoir (4-8-12) / 3 - Matthew Poitras of Vegas junior (6-6-12)
[2023-03-17 10:12:33] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:32] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:31] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:31] Last 7 Days Farm Star : 1 - Jack Finley* of Tampa Bay junior (2-3-5) / 2 - Julian Lutz of New York I Junoir (2-1-3) / 3 - Eeli Tolvanen* of Tampa Bay junior (2-1-3)
[2023-03-17 10:12:30] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:29] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:27] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:25] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:23] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:22] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:20] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:18] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:16] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:12:14] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:27] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:26] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:24] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:22] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:21] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:18] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:16] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:14] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:13] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:11] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:08] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:07] New Record for Team's Most Shots Blocked (29) in 1 Game for New York I!
[2023-03-17 10:11:05] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:03] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:02] New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:11:01] Both New York I and New York I Junoir lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:10:59] New York I lines for next game are empty. Current rosters/lines are not erased.
[2023-03-17 10:10:58] New Record for Team's Most Shots Blocked (22) in 1 Game for New York I!



No Injury or Suspension.


New York I Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York I Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

New York I Career Team Stats

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
Total Regular Season15663700213443842661187845400133418178-16078591602010366882781553846561040064247775462019733633643583995117763039952114219.91%2663088.72%21660240369.08%1004508619.74%1093223948.82%26091539464712422167998
Playoff
Total Playoff1971200000921-121101100000020-20871000009181491625070315394949474132441133807534000.00%38197.37%054969279.34%17470224.79%15729852.68%535335502191358182

New York I Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

New York I Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA