Americans

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Karl Fyfe | Morale : 75 | Team Overall : 56

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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
1Brendan GaunceX100.007639866685878262806463786173754975660
2Ben MeyersX100.007040896671838465806367686469703675650
3Isak RosenX100.006136956971858766646367626963658375640
4Glenn GawdinX100.006741736476868763696662656168714875640
5Gerry MayhewX100.006137836362848262656163606474762375630
6Anders BjorkX100.006337926472747363596057625869711175620
7Andrew AgozzinoX100.006938786068838157635961585675772375620
8Josh DunneX100.007647736088778057635661625568703675620
9Josiah SlavinX100.007239885984958658615756635568734175620
10Marc McLaughlinX100.006838896275797759635958605766693775610
11Buddy RobinsonXX100.004040404040404040404040404040401175420
12Simon NemecX100.006437877275868473307167655662649175670
13Lukas CormierX100.006039806469797263306754584864666575610
14Helge GransX100.007440836187818559306353584764667475610
15Roland McKeownX100.006740806276738658306057564870725775610
Scratches
1Mike VecchioneX100.006037896169818560635961566272741175620
2Chase DeLeoX100.005735936166807559656258566170721175610
3Nathan SmithX100.006140766270748059636158576068705375610
4Matthew StromeX100.007942805788758155595856615567695175610
5Arnaud DurandeauX100.006238875471736252565550535167694275570
6Danny O'ReganX100.004040404040404040404040404040401175420
7Joe ThorntonXX100.004040404040404040404040404040401175420
8Cameron MorrisonX100.004040404040404040404040404040401175420
9David BackesXX100.004040404040404040404040404040401175420
10Mikhail MaltsevXX100.004040404040404040404040404040401175420
11Chase PriskieX100.006238846071748459306257584969711175610
12Lucas JohansenX100.006739825576647254305652574669716575580
13Joseph DuszakX100.004040404040404040404040404040401175420
14Steven KampferX100.004040404040404040404040404040401175420
TEAM AVERAGE100.00593972566569695551555455526162357556
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jack LaFontaine100.00727367817170727170727168815475630
2Thomas Greiss100.00404040404040404040404040401175450
Scratches
TEAM AVERAGE100.0056575461565556565556565461337554
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Steve Ott67686971676282CAN441800,000$


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
Anders BjorkLW291996-08-05No190 Lbs6 ft0NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Andrew AgozzinoLW341991-01-03No187 Lbs5 ft10NoNoNo2UFAPro & Farm1,400,000$0$0$NoLink / NHL Link
Arnaud DurandeauLW261999-01-14No185 Lbs6 ft0YesNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Ben MeyersC261998-11-15No194 Lbs5 ft11NoNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Brendan GaunceC311994-03-25No222 Lbs6 ft2NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Buddy RobinsonLW/RW331991-09-30No232 Lbs6 ft6NoNoNo2UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Cameron MorrisonLW271998-08-27No210 Lbs6 ft3NoNoNo2RFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Chase DeLeoLW291995-10-25No185 Lbs5 ft9NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Chase PriskieD291996-03-19No185 Lbs6 ft0NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Danny O'ReganC311994-01-30No180 Lbs5 ft10NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
David BackesC/RW411984-05-01No215 Lbs6 ft3NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Gerry MayhewC321992-12-31No161 Lbs5 ft9NoNoNo2UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Glenn GawdinC281997-03-25No195 Lbs6 ft1NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Helge GransD232002-05-10No205 Lbs6 ft4NoNoNo2RFAPro & Farm787,500$0$0$NoLink / NHL Link
Isak RosenLW222003-03-15No185 Lbs6 ft0NoNoNo1ELCPro & Farm894,167$0$0$NoLink / NHL Link
Jack LaFontaineG271998-01-06No204 Lbs6 ft2NoNoNo3RFAPro & Farm700,000$0$0$NoLink / NHL Link
Joe ThorntonC/LW461979-07-02No220 Lbs6 ft4NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Joseph DuszakD281997-07-22No176 Lbs5 ft9NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Josh DunneC261998-12-08No208 Lbs6 ft4NoNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Josiah SlavinLW261998-12-31No205 Lbs6 ft3YesNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Lucas JohansenD271997-11-16No176 Lbs6 ft2YesNoNo3RFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Lukas CormierD232002-03-27No185 Lbs5 ft11NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Marc McLaughlinC261999-07-26No202 Lbs6 ft0NoNoNo4RFAPro & Farm775,000$0$0$NoLink / NHL Link
Matthew StromeLW261999-01-06No206 Lbs6 ft4YesNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Mike VecchioneC321993-02-25No193 Lbs5 ft10NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Mikhail MaltsevC/LW271998-03-12No198 Lbs6 ft3NoNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Nathan SmithC261998-10-19No177 Lbs6 ft0NoNoNo3RFAPro & Farm775,000$0$0$NoLink / NHL Link
Roland McKeownD291996-01-20No195 Lbs6 ft1NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Simon NemecD212004-02-15No190 Lbs6 ft1NoNoNo1ELCPro & Farm918,333$0$0$NoLink / NHL Link
Steven KampferD361988-09-24No198 Lbs5 ft11NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Thomas GreissG391986-01-29No219 Lbs6 ft2NoNoNo1UFAPro & Farm1,499,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3129.23196 Lbs6 ft11.68846,774$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew Agozzino35023
2Glenn Gawdin35023
3Josiah SlavinBen Meyers20032
410032
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135032
235032
330032
40122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Andrew Agozzino60014
2Glenn Gawdin40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160023
240023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew Agozzino60140
2Glenn Gawdin40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160140
240140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16005060050
2Glenn Gawdin4005040050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrew Agozzino60023
2Glenn Gawdin40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160032
240032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Andrew Agozzino
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Andrew Agozzino
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Meyers, Josiah Slavin, Ben Meyers, Josiah SlavinBen Meyers
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, Andrew Agozzino, Glenn Gawdin, , Ben Meyers
Goalie
#1 : , #2 : Jack LaFontaine
Custom OT Lines Forwards
, Andrew Agozzino, Glenn Gawdin, , Ben Meyers, Josiah Slavin, Josiah Slavin, , , ,
Custom OT Lines Defensemen
, , , ,


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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

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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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 2
Capacity20001000
Ticket Price4020
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,625,000$ 2,625,000$ 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
2017784028016034444053939211400202221187343919140140122321859144479312370178177188226256939179933225138921817178035416947.74%31611164.87%13686151245.37%677154443.85%739165844.57%164795917466931315648
2019823728053452282111741231102122125943141141703223103117-141002284046322686815212254380683386964276079157419082585922.87%2454482.04%11514282653.57%1566297252.69%657121154.25%1986137319416101059531
20208237350251231627541412214023001871305741152100212129145-168731656888412130101824313310351035102745300583254719262637428.14%2254679.56%31666310453.67%1653311253.12%758141553.57%2005140319105811040528
2021824129038013603243641241301300180151294117160250118017379736067410342001351239936470121411551241328297451220472896422.15%2286571.49%51891348854.21%1695314153.96%810147854.80%207614971874559993509
202282164806903345430-8541102003602182216-344162803301163214-5156345655100021015210681390701271133712574148116058624642664516.92%2607073.08%31621351346.14%1629357545.57%704155645.24%187713322097579990476
202382492207211402292110412710030101911395241221204201211153581174027311133120178115101417601397143413203438101356021702957124.07%2404182.92%12187374558.40%1788341252.40%801143955.66%213315691838545972497
20248237340640136835216411817060001971801741191700401171172-191368701106930014111610539120131712451320357299858724412876522.65%2494781.12%21607344446.66%1496329445.42%691145747.43%197714352004553962474
2025826017021204002601404130100100018812959413070112021213181129400720112002014113811740180130814021295306391360622533017223.92%2485279.03%32022359656.23%1723307656.01%766140054.71%210715471872546958490
Total Regular Season652317241032388162863254931432617510901815361471122624532614213201423510139213236976828635246810911142941106920521279612534929294626574257817573578916989231361926.76%201147676.33%31131942522852.30%122272412650.68%59261161451.02%158101112015285466882944157
Playoff
2017514000001821-321100000106430300000815-721834520029701334551370142373529816212.50%261157.69%1439545.26%5611250.00%4710047.00%1288499427539
2019514000001319-62020000037-4312000001012-221326390036401784877530210623914016318.75%16475.00%09819849.49%12322155.66%458254.88%12488118335729
202140400000819-1120200000711-42020000018-708142200034115805850481746546102500.00%21766.67%05815637.18%7917944.13%215637.50%8054116314822
2023211650000094623211920000056292710730000038335329417526901035332210130331339323858243120559912527.47%581868.97%052198552.89%45988052.16%19535554.93%531382502151264131
202416880000061610844000002934-584400000322751661116177000212018744023825521563417911946337821.62%57787.72%025171135.30%24763938.65%11128938.41%34923845412320694
2025514000001923-4312000001314-12020000069-321937561005592730767286222544216120315.00%19384.21%012024449.18%11422051.82%549656.25%138101135396531
Total Playoff56272900000213205828151300000118101172812160000095104-954213402615115797350249993831806672224064071815231854122.16%1975074.62%11091238945.67%1078225147.89%47397848.36%13539491427420718349