Phantoms

GP: 82 | W: 42 | L: 36 | OTL: 4 | P: 88
GF: 249 | GA: 220 | PP%: 16.32% | PK%: 84.95%
GM : Kriss Cardenas | Morale : 50 | Team Overall : 62

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 SP
1Filip ZadinaXX100.005938896972847768566567647061638850650
2Seth GriffithXX100.005246886567878964596361626573675850630
3Cory ConacherXX100.005547856465817863696260586479714950620
4Mason MarchmentX100.006849836390747362545861636269655350620
5Colin McDonaldX100.007146895884878957545655585786764950620
6Logan ShawXX100.006546886285757863555960646275655350620
7Tomas JurcoXX100.006243866378716964576263596675686350620
8Marian StudenicX100.005339895870828359545557565963625650590
9Matthew Strome (R)X100.007144865988737256515254585661627350580
10Nick Henry (R)X100.005242875659797854515353525461626450550
11Christian FolinX100.007846856087756958305957645377695150640
12Matt TennysonX100.006445876081797558305957624578685450630
13Cameron GaunceX100.006148846276807361306558605378685450630
Scratches
TEAM AVERAGE100.00624587617779776150595960597267595062
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
Scratches
TEAM AVERAGE0.000000000000000000
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci71696762827769USA5331,000,000$


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
1Seth GriffithPhantoms (Phi)C/RW8134457911255652432777819712.27%28200724.78520255935300073586154.21%264700020.7917100638
2Logan ShawPhantoms (Phi)C/RW793041711160101441342385919412.61%24165320.931313266633200041783354.27%84400000.8604001950
3Mason MarchmentPhantoms (Phi)LW81253661011230182121269751809.29%14167920.741016266733000031653155.00%20000000.7335114533
4Marian StudenicPhantoms (Phi)RW81273259-1240451162105516612.86%51133316.4610113890112426255.33%15000000.88000003102
5Cory ConacherPhantoms (Phi)C/RW80183048-121555147242721397.44%24163820.48511165831800041332160.44%117300000.5945001031
6Matthew StromePhantoms (Phi)LW712028485651514376226421488.85%32112515.851237700004665145.59%6800000.8500102514
7Christian FolinPhantoms (Phi)D751431454146101826799296314.14%90168722.50121224803200001239100.00%000000.5300101115
8Cameron GauncePhantoms (Phi)D819364577725799712142797.44%76184422.7851823803380004295100.00%200000.4900023120
9Nick HenryPhantoms (Phi)RW81152944126046130182451098.24%22126415.610002351011122147.02%78900010.7000000208
10Colin McDonaldPhantoms (Phi)RW81201939-7695136821976212710.15%20162320.04810184534000041144161.59%13800100.4811010123
11Matt TennysonPhantoms (Phi)D8210263628951168813136727.63%102171820.967512883340110275310.00%000000.4200010113
12Nikolai KnyzhovPhiladelphia FlyersD5511112-1152051325818351.72%53107719.58145442210000195010.00%000000.2200000001
13Oscar FantenbergPhiladelphia FlyersD13189-41402217267123.85%1731924.610442058000047000.00%000000.5600000000
14Tomas JurcoPhantoms (Phi)LW/RW7044-1802210226190.00%214721.100222210001250055.00%2000000.5400000000
15Filip ZadinaPhantoms (Phi)LW/RW4134-24045198135.26%49824.63112690001230070.49%6100000.8100000000
Team Total or Average9522253796041479211012921365231763415539.71%5591922020.19691181876373173123362173361354.76%609200130.639224512343138
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
1Anthony StolarzPhiladelphia Flyers65010.9261.263802081080000.7691360000
Team Total or Average65010.9261.263802081080000.7691360000


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
Cameron GaunceD301990-03-19No194 Lbs6 ft1NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Christian FolinD291991-02-09No204 Lbs6 ft4NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Colin McDonaldRW361984-09-30No219 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cory ConacherC/RW311989-12-14No185 Lbs5 ft8NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
Filip ZadinaLW/RW211999-11-27No189 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Logan ShawC/RW281992-10-05No208 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Marian StudenicRW221998-10-28No164 Lbs6 ft1NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Mason MarchmentLW251995-06-18No220 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt TennysonD301990-04-23No205 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matthew StromeLW221999-01-06Yes206 Lbs6 ft4NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Nick HenryRW211999-07-04Yes190 Lbs5 ft1NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Seth GriffithC/RW281993-01-04No190 Lbs5 ft9NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Tomas JurcoLW/RW281992-12-28No188 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1327.00197 Lbs6 ft02.69492,308$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaSeth GriffithTomas Jurco40122
2Mason MarchmentLogan ShawColin McDonald30122
3Matthew StromeCory ConacherMarian Studenic20122
4Seth GriffithFilip ZadinaNick Henry10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian FolinCameron Gaunce40122
2Matt TennysonNick Henry30122
320122
4Christian FolinCameron Gaunce10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ZadinaSeth GriffithTomas Jurco60122
2Mason MarchmentLogan ShawColin McDonald40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian FolinCameron Gaunce60122
2Matt TennysonNick Henry40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Filip ZadinaSeth Griffith60122
2Tomas JurcoLogan Shaw40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian FolinCameron Gaunce60122
2Matt Tennyson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Filip Zadina60122Christian FolinCameron Gaunce60122
2Seth Griffith40122Matt Tennyson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Filip ZadinaSeth Griffith60122
2Tomas JurcoLogan Shaw40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian FolinCameron Gaunce60122
2Matt Tennyson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaSeth GriffithTomas JurcoChristian FolinCameron Gaunce
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ZadinaSeth GriffithTomas JurcoChristian FolinCameron Gaunce
Extra Forwards
Normal PowerPlayPenalty Kill
Cory Conacher, Marian Studenic, Matthew StromeCory Conacher, Marian StudenicMatthew Strome
Extra Defensemen
Normal PowerPlayPenalty Kill
Matt Tennyson, Christian Folin, Cameron GaunceMatt TennysonChristian Folin, Cameron Gaunce
Penalty Shots
Filip Zadina, Seth Griffith, Tomas Jurco, Logan Shaw, Colin McDonald
Goalie
#1 : , #2 :


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
8288W124944369225761931626934155303
All Games
GPWLOTWOTL SOWSOLGFGA
8237360252249220
Home Games
GPWLOTWOTL SOWSOLGFGA
4123160020143104
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4114200232106116
Last 10 Games
WLOTWOTL SOWSOL
360100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4297016.32%3725684.95%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8748158743992767611
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1530274655.72%1218229653.05%680123255.19%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
209815051881579976496


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
1 - 2020-10-1811Phantoms2Bears1WBoxScore
3 - 2020-10-2019Sound Tigers1Phantoms2WXXBoxScore
4 - 2020-10-2135Phantoms2Roadrunners1WXXBoxScore
5 - 2020-10-2244Phantoms1Bruins2LXXBoxScore
7 - 2020-10-2459Crunch2Phantoms5WBoxScore
8 - 2020-10-2579Americans2Phantoms3WXXBoxScore
11 - 2020-10-2898Phantoms1Barracuda3LBoxScore
13 - 2020-10-30112Barracuda4Phantoms2LBoxScore
14 - 2020-10-31123Phantoms3Monsters1WBoxScore
15 - 2020-11-01143Phantoms1Roadrunners2LBoxScore
18 - 2020-11-04153Wolf Pack3Phantoms2LBoxScore
21 - 2020-11-07175Comets2Phantoms0LBoxScore
24 - 2020-11-10197Moose4Phantoms10WBoxScore
26 - 2020-11-12212Phantoms3Penguins2WBoxScore
29 - 2020-11-15226Reign2Phantoms7WBoxScore
31 - 2020-11-17242Phantoms0Comets1LBoxScore
32 - 2020-11-18254Phantoms7Eagles6WBoxScore
34 - 2020-11-20268Moose1Phantoms6WBoxScore
36 - 2020-11-22282Phantoms6Gulls1WBoxScore
38 - 2020-11-24297Bruins2Phantoms5WBoxScore
39 - 2020-11-25315Phantoms6Eagles1WBoxScore
43 - 2020-11-29331Monsters2Phantoms1LBoxScore
45 - 2020-12-01351Phantoms3Heat5LBoxScore
46 - 2020-12-02362IceHogs3Phantoms7WBoxScore
48 - 2020-12-04383Checkers0Phantoms2WBoxScore
53 - 2020-12-09407Rampage4Phantoms1LBoxScore
55 - 2020-12-11424Phantoms1Penguins5LBoxScore
57 - 2020-12-13438Monsters0Phantoms2WBoxScore
58 - 2020-12-14453Phantoms1Rampage2LBoxScore
59 - 2020-12-15468Phantoms7Reign2WBoxScore
61 - 2020-12-17478Crunch1Phantoms3WBoxScore
64 - 2020-12-20500Phantoms3Bruins4LXBoxScore
65 - 2020-12-21507Penguins2Phantoms1LBoxScore
66 - 2020-12-22530Phantoms3Roadrunners2WXXBoxScore
67 - 2020-12-23538Americans2Phantoms3WBoxScore
73 - 2020-12-29566Devils8Phantoms1LBoxScore
76 - 2021-01-01583Phantoms3Comets2WXXBoxScore
77 - 2021-01-02595Wolf Pack1Phantoms2WBoxScore
80 - 2021-01-05612Phantoms0Stars3LBoxScore
81 - 2021-01-06627Wolves2Phantoms3WBoxScore
84 - 2021-01-09643Phantoms0Griffins4LBoxScore
86 - 2021-01-11656Comets6Phantoms3LBoxScore
89 - 2021-01-14668Phantoms4Checkers0WBoxScore
90 - 2021-01-15684Gulls1Phantoms3WBoxScore
94 - 2021-01-19697Phantoms3Barracuda1WBoxScore
96 - 2021-01-21717Phantoms0Devils3LBoxScore
97 - 2021-01-22725Eagles2Phantoms6WBoxScore
100 - 2021-01-25747Phantoms2Sound Tigers7LBoxScore
101 - 2021-01-26757Marlies1Phantoms5WBoxScore
104 - 2021-01-29782Rocket1Phantoms5WBoxScore
106 - 2021-01-31796Phantoms1Wolf Pack3LBoxScore
109 - 2021-02-03812Wild3Phantoms4WBoxScore
110 - 2021-02-04827Phantoms1Americans3LBoxScore
114 - 2021-02-08848Admirals3Phantoms2LBoxScore
117 - 2021-02-11862Phantoms6IceHogs1WBoxScore
118 - 2021-02-12877Condors2Phantoms6WBoxScore
120 - 2021-02-14890Phantoms3Wild4LBoxScore
122 - 2021-02-16903Phantoms2Wolves3LBoxScore
124 - 2021-02-18909Thunderbirds1Phantoms9WBoxScore
126 - 2021-02-20920Phantoms1Devils4LBoxScore
128 - 2021-02-22940Bears3Phantoms4WBoxScore
129 - 2021-02-23953Phantoms1Monsters2LXXBoxScore
131 - 2021-02-25958Phantoms1Rocket2LBoxScore
132 - 2021-02-26975Phantoms3Bears1WBoxScore
133 - 2021-02-27985Sound Tigers1Phantoms0LBoxScore
135 - 2021-03-011003Phantoms2Thunderbirds5LBoxScore
136 - 2021-03-021017Roadrunners6Phantoms2LBoxScore
139 - 2021-03-051038Stars2Phantoms3WBoxScore
141 - 2021-03-071052Phantoms0Marlies2LBoxScore
143 - 2021-03-091060Phantoms4Bruins3WBoxScore
144 - 2021-03-101078Griffins3Phantoms6WBoxScore
148 - 2021-03-141102Barracuda3Phantoms1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-03-151112Phantoms5Moose3WBoxScore
153 - 2021-03-191129Phantoms4Admirals5LXBoxScore
155 - 2021-03-211139Reign2Phantoms8WBoxScore
157 - 2021-03-231167Gulls3Phantoms1LBoxScore
159 - 2021-03-251177Phantoms3Crunch6LBoxScore
161 - 2021-03-271196Phantoms2Senators4LBoxScore
163 - 2021-03-291205Heat5Phantoms2LBoxScore
168 - 2021-04-031231Senators4Phantoms3LBoxScore
171 - 2021-04-061249Senators4Phantoms2LBoxScore
173 - 2021-04-081252Phantoms5Condors4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance77,34137,772
Attendance PCT94.32%92.13%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2808 - 93.59% 70,261$2,880,692$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,077,635$ 64,000$ 6,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 77,725$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 6,011$ 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
1282521903413260123137413070110215455994122120231110668381192604777370180967783240607498108381588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
1376462102142227137903826110001012380433820100213210457471072274106370150827861200306646536721513452141516444597816.99%5385989.03%51301240554.10%1185214155.35%528103451.06%213915321560524896483
147634260148319514649381814002221007822381612012619568279319534253718064507219220618655633169649095114603606116.94%3614886.70%11379242056.98%1181217454.32%569109252.11%205414741648521919478
158237360025224922029412316000201431043941142000232106116-10882494436920392767611257687481587439193162693415534297016.32%3725684.95%11530274655.72%1218229653.05%680123255.19%209815051881579976496
Total Regular Season316169102061118109316263051589748013545203172031587254058136411309102407931167226031449231828122789078742846299221826728203948276494176528316.03%187421588.53%1459051030357.31%4952889755.66%2521452255.75%859461576764219937731986
Playoff
112416800000584414116500000262241310300000322210325810015803015192058701771851785341464485231932311.92%1982089.90%242981352.77%43481053.58%16734348.69%626424614202316155
12954000002119243100000981523000001211110213960000777222056677620447193199921010.87%74691.89%118833855.62%16330852.92%8814560.69%2571742207812565
13514000001012-22020000035-2312000007702101828000262121048403311426991074237.14%46980.43%09917257.56%8117546.29%235740.35%11779123405928
Total Playoff38221600000897514179800000383532113800000514011448915724603024322993002812922878522197408293273611.01%3183588.99%3716132354.12%678129352.44%27854551.01%1001678958321501249