Americans

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Frederic Goldstyn | Morale : 50 | Team Overall : 64
Next Games #4 vs Senators

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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
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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
1Kevin Labanc0XX100.007134867169848266576864617172694050660
2Arthur Kaliyev0XX100.006636936782798071506869627063647750660
3Adam Gaudette0XX100.007551746476898563666064656170694550650
4Chris Tierney (A)0X100.006639896476788066826860676575725650650
5Raphael Lavoie0XX100.007842746189888562665863656264667350640
6Ethen Frank0XX100.006036926369928364615965586366684250630
7Brandon Biro0X100.005536896567808164706266616365684250630
8Cody Hodgson0X100.006438856373836162665764596574764650620
9Luca Del Bel Belluz0X100.006137946474787062685963606461657450620
10Ben King (R)0X100.007439915783757058655960625763646150610
11Taro Hirose0X100.006235956263818459706356586168703650610
12Taylor Ward0X100.007342765782788656605857595666684250610
13Dante Fabbro0X100.007134836872878566307057775268667950690
14Marco Scandella0X100.007140926486837562306556765082753750690
15Daemon Hunt0X100.006738896378748261306256654962646750640
16Sam Malinski0X100.006136896570837364306765616366674250640
17Uvis Balinskis0X100.006639806474827163306559615068703650640
18Brandon Scanlin0X100.007741825990758358305756604965674250640
19Maxwell Crozier (R)0X100.006840746377797262306455614964665750630
20Akito Hirose0X100.006336936168806757306358645065674250620
21Matt Kiersted0X100.006239746371748459306357584966684250620
Scratches
1Colin Theisen0X100.006337936172807159636058576167693750600
2Mathias Laferriere0X100.006938895878758257615956605864664850600
3Owen Sillinger0X100.005840736067818659656257565867693750600
4Matthew Seminoff (R)0X100.006137945770717256525553545661634950570
5William Villeneuve0X100.006340776272658057306353564762645950600
6Mikko Kokkonen0X100.006338835872697957305653554663656450590
7Lleyton Moore0X100.005537875864656157305556524762644350560
TEAM AVERAGE100.00663885627479786149625961576667515063
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Akira Schmid100.00828683908180828180828164715550780
2Arturs Silovs100.00778783877675777675777663705950750
Scratches
1Jaxson Stauber100.00758076787473757473757465735650720
TEAM AVERAGE100.0078848185777678777678776471575075
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato82839186857962USA5751,000,000$


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 GaudetteC/RW281996-10-03No194 Lbs6 ft1NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Akira SchmidG242000-05-12No205 Lbs6 ft5NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Akito HiroseD251999-04-09No170 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arthur KaliyevLW/RW232001-06-26No210 Lbs6 ft2NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Arturs SilovsG232001-03-22No203 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ben KingC222002-05-15Yes200 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Brandon BiroLW261998-03-11No170 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon ScanlinD251999-06-02No218 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Chris TierneyC301994-07-01No191 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cody HodgsonC341990-02-18No191 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Colin TheisenLW271997-04-24No187 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Daemon HuntD222002-05-15No201 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Dante FabbroD261998-06-20No189 Lbs6 ft0NoNoNo1RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Ethen FrankC/RW261998-02-05No185 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jaxson StauberG251999-04-27No174 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Kevin LabancLW/RW281995-12-12No185 Lbs5 ft11NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Lleyton MooreD222002-02-27No178 Lbs5 ft8NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Luca Del Bel BelluzC202003-11-10No184 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Marco ScandellaD341990-02-23No212 Lbs6 ft3NoNoNo1UFAPro & Farm820,000$0$0$NoLink / NHL Link
Mathias LaferriereRW242000-06-27No188 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matt KierstedD261998-04-14No181 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew SeminoffRW202003-12-27Yes188 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Maxwell CrozierD242000-04-19Yes197 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoNHL Link
Mikko KokkonenD232001-01-18No198 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Owen SillingerLW271997-09-23No183 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Raphael LavoieC/RW242000-09-25No215 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Sam MalinskiD261998-07-27No190 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Taro HiroseLW281996-06-30No162 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Taylor WardRW261998-03-31No207 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Uvis BalinskisD281996-08-01No196 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
William VilleneuveD222002-03-20No175 Lbs6 ft1NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.42191 Lbs6 ft12.16439,355$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin LabancChris TierneyArthur Kaliyev40122
2Brandon BiroAdam GaudetteRaphael Lavoie30122
3Taro HiroseEthen FrankTaylor Ward20122
4Ben KingLuca Del Bel BelluzCody Hodgson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marco ScandellaDante Fabbro40122
2Brandon ScanlinUvis Balinskis30122
3Sam MalinskiDaemon Hunt20122
4Maxwell CrozierAkito Hirose10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kevin LabancChris TierneyArthur Kaliyev60122
2Brandon BiroAdam GaudetteRaphael Lavoie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marco ScandellaDante Fabbro60122
2Brandon ScanlinUvis Balinskis40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kevin LabancArthur Kaliyev60122
2Chris TierneyAdam Gaudette40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marco ScandellaDante Fabbro60122
2Brandon ScanlinUvis Balinskis40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Kevin Labanc60122Marco ScandellaDante Fabbro60122
2Arthur Kaliyev40122Brandon ScanlinUvis Balinskis40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kevin LabancArthur Kaliyev60122
2Chris TierneyAdam Gaudette40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marco ScandellaDante Fabbro60122
2Brandon ScanlinUvis Balinskis40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kevin LabancChris TierneyArthur KaliyevMarco ScandellaDante Fabbro
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kevin LabancChris TierneyArthur KaliyevMarco ScandellaDante Fabbro
Extra Forwards
Normal PowerPlayPenalty Kill
Cody Hodgson, Ben King, Ethen FrankCody Hodgson, Ben KingEthen Frank
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Kiersted, Sam Malinski, Daemon HuntMatt KierstedSam Malinski, Daemon Hunt
Penalty Shots
Kevin Labanc, Arthur Kaliyev, Chris Tierney, Adam Gaudette, Raphael Lavoie
Goalie
#1 : Akira Schmid, #2 : Arturs Silovs


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
8 - 2024-09-234Senators-Americans-
9 - 2024-09-2414Americans-Comets-
15 - 2024-09-3037Marlies-Americans-
16 - 2024-10-0143Americans-Marlies-
20 - 2024-10-0566Monsters-Americans-
23 - 2024-10-0886Americans-Monsters-
29 - 2024-10-14113Americans-Comets-
30 - 2024-10-15126Americans-Comets-
34 - 2024-10-19143Americans-Monsters-
36 - 2024-10-21153Wolfpack-Americans-
37 - 2024-10-22157Americans-Penguins-
41 - 2024-10-26187Rocket-Americans-
44 - 2024-10-29202Rocket-Americans-
45 - 2024-10-30217Americans-Marlies-
48 - 2024-11-02224Americans-Rocket-
50 - 2024-11-04235Bears-Americans-
51 - 2024-11-05244Comets-Americans-
55 - 2024-11-09265Monsters-Americans-
57 - 2024-11-11273Crunch-Americans-
58 - 2024-11-12281Americans-Crunch-
62 - 2024-11-16305Comets-Americans-
64 - 2024-11-18309Americans-Checkers-
65 - 2024-11-19320Americans-Checkers-
69 - 2024-11-23346Americans-Rocket-
71 - 2024-11-25354Americans-Senators-
72 - 2024-11-26366Americans-Senators-
76 - 2024-11-30391Crunch-Americans-
78 - 2024-12-02402Crunch-Americans-
80 - 2024-12-04421Americans-Monsters-
85 - 2024-12-09433Comets-Americans-
86 - 2024-12-10443Americans-Comets-
92 - 2024-12-16475Americans-Thunderbirds-
93 - 2024-12-17482Americans-Islanders-
99 - 2024-12-23516Comets-Americans-
100 - 2024-12-24525Americans-Crunch-
106 - 2024-12-30562Phantoms-Americans-
107 - 2024-12-31572Americans-Phantoms-
108 - 2025-01-01583Americans-Bears-
113 - 2025-01-06606Americans-Bruins-
114 - 2025-01-07614Americans-Wolfpack-
118 - 2025-01-11639Comets-Americans-
120 - 2025-01-13652Crunch-Americans-
121 - 2025-01-14662Americans-Crunch-
127 - 2025-01-20682Senators-Americans-
131 - 2025-01-24707Americans-Monsters-
134 - 2025-01-27725Crunch-Americans-
135 - 2025-01-28733Americans-Comets-
136 - 2025-01-29746Rocket-Americans-
139 - 2025-02-01762Monsters-Americans-
141 - 2025-02-03773Senators-Americans-
142 - 2025-02-04780Marlies-Americans-
146 - 2025-02-08808Penguins-Americans-
148 - 2025-02-10817Americans-Comets-
149 - 2025-02-11828Americans-Crunch-
155 - 2025-02-17862Americans-Rocket-
156 - 2025-02-18869Americans-Rocket-
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2025-02-22897Checkers-Americans-
162 - 2025-02-24907Bruins-Americans-
169 - 2025-03-03952Checkers-Americans-
170 - 2025-03-04963Americans-Crunch-
171 - 2025-03-05974Comets-Americans-
176 - 2025-03-10996Islanders-Americans-
177 - 2025-03-111004Americans-Crunch-
178 - 2025-03-121019Crunch-Americans-
181 - 2025-03-151032Thunderbirds-Americans-
183 - 2025-03-171042Americans-Senators-
184 - 2025-03-181056Americans-Senators-
188 - 2025-03-221075Senators-Americans-
190 - 2025-03-241084Rocket-Americans-
195 - 2025-03-291117Monsters-Americans-
197 - 2025-03-311130Marlies-Americans-
198 - 2025-04-011138Americans-Marlies-



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
11,420$ 136,200$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,368$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 197 5,710$ 1,124,870$




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
12825319032232811321494128803110145628341251100113136706612128150478502001138974232407857657611575461117716954688718.59%4974291.55%71583255162.05%1308215860.61%694114160.82%241617741586528955531
13764128022212061376938211301120955441382015011011118328932063685740150767155189906226256331525428117516834537516.56%5216587.52%11224233952.33%1157215453.71%546103952.55%207614761604531906481
1476451901245201128733824701231107664138211200014946232107201359560117077487121340737666712167350978713033926215.82%3203788.44%51403248856.39%1196221054.12%565101855.50%202514561656536927481
1582442405243234142924123120212111867514121120312211675411112344326660130808362225807247727431873544111614654106315.37%4946187.65%31658263163.02%1475248059.48%686112261.14%224716171750557967517
1682373304431253209444117170312112710621412016013101261032393253453706250958665235208207637561986538104414604237617.97%4558880.66%41477256957.49%1239248249.92%649118654.72%214115571879552938484
177252130211328612116536275010121485692362580110113865731142865278130150122926925170823821856147946289013363818221.52%3494188.25%21498239762.49%1200192962.21%642100763.75%206715391450470829446
187251130341035012023036285020101826212036238014001685811011435064099001401391258226440844851939159946885713343387823.08%3354486.87%61485233663.57%1132197957.20%664108061.48%219616731340426799444
Total Regular Season54232314902017171618119898222711686701361259224734492711558207115118895163737531811328350943990702594478161280535552635400117103410704610276286552318.25%297137887.28%28103281731159.66%87071539256.57%4446759358.55%151711109511268360563233388
Playoff
11191180000035332853000001412211650000021210223564990101110144600169133154382105392453164159.15%1611690.06%132067747.27%28658948.56%12426347.15%470316462149231118
1216970000042366844000002320385300000191631842751170101611153580119119118349882113261081816.67%89989.89%022849046.53%20446344.06%9621844.04%410282362119199102
1351400000713-62020000026-43120000057-22714210003131170264546104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
144040000059-42020000046-22020000013-205914000221970303136952244441119.09%16287.50%16512452.42%7013452.24%314963.27%9364100325023
15624000001315-23120000045-131200000910-141322350004541510583751142438311641512.20%381073.68%010920253.96%11719360.62%5510253.92%150102150528339
162314900000524661192000002615111257000002631-528529915100012142154801491761475621743494581302317.69%1482285.14%245976360.16%45278757.43%17733153.47%645450602188313158
17137600000433211734000001916364200000241681443741170102111114180165128119357961572258689.30%651281.54%020544046.59%19241646.15%8918049.44%3352463089214574
1812660000024240624000001314-164200000111011224467011097631309410296341901572248067.50%721184.72%018239945.61%18041543.37%7017041.18%2942033079414670
Total Playoff9850480000022120813472423000001059411512625000001161142100221403624140786175246208107717672332646148119566638112.22%6258885.92%41658326650.77%1570315549.76%678138448.99%2522175024107691231617