Americans

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Francis Lefebvre | Morale : 75 | Team Overall : 64

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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
# 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
1Conor GeekieXXX100.007843777089858866746564676362658575690
2Fraser MintenX100.007638937181898667756466726862647575690
3Oskar BackXXX100.006138956888808763796160826266675875680
4Ethen Frank (A)XXX100.006636917370828367546369626670713675670
5Kyle MacLeanXX100.007541886875768662806160646367693775650
6Akil ThomasXXX100.006838896573777159636058626466687075630
7Carson Meyer (A)X100.006039836469847563596261606369714075630
8Eduard SaleX100.006638925975798056555857545961638275590
9Jack St. IvanyX100.007641806486847559306853704867695175660
10Seamus CaseyX100.006036916867807366306867635562647475660
11Owen PickeringX100.007740906291808761306054654962648275640
12Kevin KorchinskiX100.006340776774828665306655575162648775620
Scratches
1Noah OstlundXX100.005836926867848269706667637162648475660
2Avery HayesX100.006739716668878265625768596465674275640
3Cole Eiserman (R)X100.006437956773826368726957596662608475640
4Filip HallanderX100.005636926678826263506457656266676475640
5Quentin Musty (R)X100.007142765980798358555657545961638075600
6Jean-Luc FoudyX100.005938865768758256615955585464666475580
7Noel Nordh (R)X100.007138955680648255505453575261636675580
8Alex AlexeyevX100.007940876392836862306052644867696675640
9Charles-Alexis LegaultX100.007745686290817858306059645063655675640
10Marc Del GaizoX100.006739836370858661306458625067695175630
11Jake LivingstoneX100.007541835784698155305654594667693775600
12Jack AhcanX100.006037846364808758306755564869713675600
13Aleksi Heimosalmi (R)X100.006239815871668056305754554663657375580
14Jack RathboneX100.005739785966828156305855544767695375580
TEAM AVERAGE100.00673985647780806150625962576566637563
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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.
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
1Devin Cooley100.00828681888180828180828169835175810
2Mads Sogaard100.00737874987271737271737266757375740
Scratches
TEAM AVERAGE100.0078827893777678777678776879627578
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
David Bell72646661757177CAN4911,000,000$


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
Akil ThomasC/LW/RW262000-01-02No195 Lbs6 ft0NoNoNo1RFAPro & Farm775,000$0$0$NoLink / NHL Link
Aleksi HeimosalmiD232003-05-08Yes181 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Alex AlexeyevD261999-11-15No229 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Avery HayesRW232002-10-10No180 Lbs5 ft10NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Carson MeyerRW281997-08-18No184 Lbs5 ft11NoNoNo2UFAPro & Farm956,000$0$0$NoLink / NHL Link
Charles-Alexis LegaultD222003-09-05No220 Lbs6 ft4NoNoNo3ELCPro & Farm800,000$0$0$NoLink / NHL Link
Cole EisermanLW192006-08-29Yes195 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Conor GeekieC/LW/RW222004-05-05No212 Lbs6 ft4NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Devin CooleyG291997-05-25No192 Lbs6 ft5NoNoNo1UFAPro & Farm775,000$0$0$NoLink / NHL Link
Eduard SaleLW212005-03-10No174 Lbs6 ft2NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Ethen FrankC/LW/RW281998-02-05No188 Lbs5 ft11NoNoNo3UFAPro & Farm1,235,000$0$0$NoLink / NHL Link
Filip HallanderC262000-06-29No203 Lbs6 ft1NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Fraser MintenC212004-07-05No204 Lbs6 ft2NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Jack AhcanD291997-05-18No180 Lbs5 ft8NoNoNo1UFAPro & Farm775,000$0$0$NoLink / NHL Link
Jack RathboneD271999-05-20No177 Lbs5 ft10NoNoNo2UFAPro & Farm2,200,000$0$0$NoLink / NHL Link
Jack St. IvanyD261999-07-22No197 Lbs6 ft4NoNoNo2RFAPro & Farm997,000$0$0$NoLink / NHL Link
Jake LivingstoneD271999-04-16No205 Lbs6 ft3NoNoNo1UFAPro & Farm900,000$0$0$NoLink / NHL Link
Jean-Luc FoudyC242002-05-13No177 Lbs5 ft11NoNoNo1ELCPro & Farm995,000$0$0$NoLink / NHL Link
Kevin KorchinskiD222004-06-21No185 Lbs6 ft1NoNoNo1ELCPro & Farm900,000$0$0$NoLink / NHL Link
Kyle MacLeanC/LW271999-04-29No190 Lbs6 ft1NoNoNo2UFAPro & Farm1,150,000$0$0$NoLink / NHL Link
Mads SogaardG252000-12-13No231 Lbs6 ft7NoNoNo1ELCPro & Farm964,600$0$0$NoLink / NHL Link
Marc Del GaizoD261999-10-11No188 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Noah OstlundC/LW222004-03-11No180 Lbs5 ft11NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Noel NordhLW212005-01-25Yes196 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Oskar BackC/LW/RW262000-03-12No207 Lbs6 ft4NoNoNo4RFAPro & Farm2,548,000$0$0$NoLink / NHL Link
Owen PickeringD222004-01-27No206 Lbs6 ft5NoNoNo2ELCPro & Farm1,265,000$0$0$NoLink / NHL Link
Quentin MustyLW202005-07-06Yes200 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Seamus CaseyD222004-01-08No181 Lbs5 ft10NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.29195 Lbs6 ft11.75936,986$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ethen FrankOskar Back35014
2Akil ThomasKyle MacLeanCarson Meyer30113
3Eduard SaleFraser Minten25221
4Oskar Back10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Seamus CaseyKevin Korchinski35113
2Jack St. Ivany30131
3Owen Pickering20221
4Seamus Casey15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Ethen FrankOskar Back60104
2Akil ThomasKyle MacLeanCarson Meyer40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Seamus CaseyKevin Korchinski60113
2Jack St. Ivany40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Oskar BackEthen Frank60032
2Kyle MacLean40032
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Seamus CaseyKevin Korchinski60131
2Owen PickeringJack St. Ivany40131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Oskar Back60221Seamus CaseyKevin Korchinski60140
2Ethen Frank40221Owen PickeringJack St. Ivany40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Oskar BackEthen Frank60212
2Kyle MacLean40212
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Seamus CaseyKevin Korchinski60221
2Jack St. Ivany40221
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Ethen FrankAkil ThomasSeamus CaseyKevin Korchinski
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kyle MacLeanOskar BackJack St. IvanySeamus Casey
Extra Forwards
Normal PowerPlayPenalty Kill
, , Eduard Sale, Eduard Sale
Extra Defensemen
Normal PowerPlayPenalty Kill
Owen Pickering, Seamus Casey, Owen PickeringSeamus Casey,
Penalty Shots
Ethen Frank, Akil Thomas, , Fraser Minten, Carson Meyer
Goalie
#1 : Devin Cooley, #2 : Mads Sogaard
Custom OT Lines Forwards
Oskar Back, Ethen Frank, Kyle MacLean, , , Carson Meyer, Carson Meyer, Akil Thomas, Fraser Minten, Eduard Sale,
Custom OT Lines Defensemen
Seamus Casey, Kevin Korchinski, , Jack St. Ivany, Owen Pickering


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
Capacity20001000
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$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,311,780$ 1,311,780$ 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
278412502244248203453921130102212810325392012012221201002010024844068832084847424410806812793221564332015421413323.40%1481689.19%01364262751.92%1336250153.42%653122853.18%1849126518215831055525
27835290194024022713391916011201261071939161300820114120-68924043167132074778423850748782827235264142515841593220.13%1953283.59%21403258154.36%1346261951.39%643122852.36%1872128418145771042527
382313305832266268-2411713053211461271941142000511120141-2188266460726100102857126650858865904288982945215741813820.99%1903283.16%31427269053.05%1541300251.33%709135552.32%1839126320665991060518
482116103610177431-254418280140098202-104413330221079229-15036177295472100704954218906607587553885104723014901422416.90%1053170.48%0772232533.20%965308031.33%426135631.42%152310422442591981432
202082254305450255291-3641151803410141153-1241102502040114138-247425545370823095836725950871824874300684066020212395020.92%2915680.76%21357287147.27%1396309845.06%621139344.58%1884128020086081071525
202082323105842277269841161303630146137941161802212131132-192277501778000108956527260903888902263570961119102606525.00%2495279.12%21537291152.80%1477282852.23%750133056.39%2035140518586051080550
20218239290064428626224412211003231511292241171800321135133296286529815140104938527970885942934244570757519313186219.50%2123981.60%21541301551.11%1356270150.20%639137246.57%2040141518596031070550
202182224108623274317-4341121905212143157-1441102203411131160-297327447975320096868228310924938934272584678720942484518.15%3408774.41%31459298948.81%1501292151.39%678135250.15%1916129619856261076528
20228234330353429729344116190212114214204118140141315515148929755184811010010685291609339511003267279648218712907726.55%1995373.37%11428297847.95%1376280549.06%651136847.59%2022141718915911056537
202282343502623271285-1441191601212135134141151901411136151-1585271483754200101947228330967906931279478975420112785519.78%3116479.42%61586301152.67%1573306451.34%694135351.29%1934132419716201064525
20238245260451139829810041261002300208145634119160221119015337106398728112621015011512835350112211481243308684265018483247623.46%2856876.14%31894336456.30%1703314154.22%798149253.49%2067146518385831042532
202382234406630355483-12841131803430160233-7341102603200195250-557035558994411014211193319501072104510504392123354119362485722.98%2467868.29%31183281941.97%1433357440.10%627157839.73%170711992275586971448
202482334101403318383-6541181901102178199-2141152200301140184-447531857889661012210095331001109105511273695108876022343317121.45%3237676.47%31446323344.73%1528340444.89%652147244.29%1828124920906041025500
202582392504110330028119412013016011491321741191203502151149210030054384313012511160299709961007962282483064419983489226.44%2896477.85%11649323351.01%1558303351.37%746143951.84%2007138318786051073547
Total Regular Season114044449604986362939624291-32957024222602940191420512100-4957020227002046171519112191-28011733962706011022261801473128911153941501285412921132394161511840789126044350777722.16%338374877.89%31200464064749.32%200894177148.09%92871931648.08%2652818295278058385146717253
Playoff
1201190000065569963000003223911560000033330226511918410026251256201731971805671961734061072119.63%661380.30%132569047.10%29366144.33%14834043.53%500338462153269140
2514000001825-7312000001112-120200000713-62183250100567183060585320990191151000.00%7271.43%06418933.86%7321234.43%328637.21%12083141396933
202021165000008057231091000004328151174000003729832801512311103119277450234244238678223133485701521.43%541179.63%141982450.85%38673552.52%19037550.67%560393481159293152
2021137600000504556420000031229734000001923-414509314300013171945301351621534531209431025416.00%43979.07%123245950.54%26047954.28%11422949.78%3112173089617185
2022734000002729-2413000001519-43210000012102627497600071282210628172250603613717423.53%12191.67%010022544.44%12325548.24%5212342.28%168117173539647
202320164000008856321183000004633139810000042231932881522400102836218840279270328698220125446991717.17%561671.43%049083958.40%38272352.84%19034455.23%504360448145254129
202594500000373165320000021174413000001614283766103000121411323088116113330736224835720.00%28871.43%017735749.58%14634042.94%8516451.83%2261572206912160
Total Playoff955837000003652996648321600000199154454726210000016614521116365662102732012212910533710103111281137318598264221473636818.73%2666077.44%31807358350.43%1663340548.84%811166148.83%2392166822367181276649