Phantoms

GP: 72 | W: 46 | L: 20 | OTL: 6 | P: 98
GF: 238 | GA: 141 | PP%: 16.44% | PK%: 88.07%
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
1Liam FoudyXX100.006038876978867067776459677163648350640
2Hayden HodgsonX100.007434616482817765586667596466685250640
3Mike HardmanXXX100.008639936481828763556264596263654550640
4Marian StudenicXX100.006339866374807965616465686465675450640
5Seth GriffithXX100.006037916467768763736462596470714750630
6Matthew StromeX100.007940875588739154535554595463655950600
7Cameron HillisX100.005536865664736657755859555763646750580
8Jake SlakerX100.005938815769736656595554535766684550570
9Nick HenryX100.006138835370756254555355525563656250560
10Matt TennysonX100.007335896481807862306759665072742750660
11Ryan MerkleyX100.006239816872838665306657585062648250640
12Cameron GaunceX100.006739776076728558306155594772744250630
13Helge Grans (R)X100.007839825687718457305956635162637850630
14Cameron CrottyX100.007139865781739256305554584563656450620
15Artemi Kniazev (R)X100.006139806068798358305756595162637250610
16Jeremy GroleauX100.007339755382647251305352564563655250590
Scratches
TEAM AVERAGE100.00683883607676795949605859556567585062
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
1Carter Hutton100.00757072777473757473757479914850730
Scratches
TEAM AVERAGE100.0075707277747375747375747991485073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci68747572837765USA5611,000,000$


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
1Marian StudenicPhantoms (Phi)LW/RW7235508546120371493438923110.20%24175924.4311172867300000123339358.45%82800020.9726000697
2Mike HardmanPhantoms (Phi)C/LW/RW72344781458351851212467216913.82%13162622.5810132349286112102675254.42%147000021.00260001085
3Hayden HodgsonPhantoms (Phi)RW5131356629440142621825213617.03%8113322.221010204622600011497055.17%14500031.16030001142
4Logan ShawPhiladelphia FlyersC/RW6526315723595751232105313312.38%11134720.74810184227521381402264.74%105500100.8512001241
5Matt TennysonPhantoms (Phi)D5210425229360536596296210.42%60123523.7651823632170331201200.00%000000.8400000136
6Liam FoudyPhantoms (Phi)C/RW5221305124180191061825311511.54%697918.8331215382100111476168.46%40900011.0400000244
7Ryan MerkleyPhantoms (Phi)D72444482936051608739724.60%60158822.0641115632820001271100.00%000000.6000000132
8Seth GriffithPhantoms (Phi)C/RW721725421736042120205591488.29%12121016.82044191340001650063.74%59300000.6900000223
9Helge GransPhantoms (Phi)D724343833920137407532515.33%66156421.7411112453020000244000.00%000000.4900000122
10Cameron HillisPhantoms (Phi)C7217133081404383128408313.28%13107614.951013120001135159.78%54700000.5600000132
11Cameron CrottyPhantoms (Phi)D7281927224201144356193414.29%47133418.54314241860000147100.00%000000.4000000013
12Cameron GauncePhantoms (Phi)D723232619920112415824405.17%48132618.43156311660000163000.00%000000.3900000100
13Matthew StromePhantoms (Phi)LW7213122526972513147103278212.62%8131018.20336232760002403156.72%6700000.3800005114
14Artemi KniazevPhantoms (Phi)D724182211521054543973110.26%43107714.9700028000081100.00%000000.4100002010
15Nick HenryPhantoms (Phi)RW7241014159581529520774.21%6107314.910002240001471058.33%8400000.2600001001
16Jake SlakerPhantoms (Phi)C72371001804225398257.69%36198.600110150001250056.58%7600000.3200000001
17Jeremy GroleauPhantoms (Phi)D51134326042774514.29%194077.99000010000042000.00%000000.2000000000
Team Total or Average113523544367836581650136011982151627149410.93%4472067018.21601161765172936369402285431059.95%527400180.66517009394543
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
1Carter HuttonPhantoms (Phi)65451550.9211.69386841310913840100.86715650752
Team Total or Average65451550.9211.69386841310913840100.86715650752


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
Artemi KniazevD222001-01-04Yes178 Lbs5 ft11NoNoNo4ELCPro & Farm500,000$0$0$No
Cameron CrottyD231999-05-05No182 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Cameron GaunceD321990-03-19No194 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cameron HillisC222000-06-24No175 Lbs5 ft9NoNoNo3ELCPro & Farm300,000$0$0$NoLink
Carter HuttonG371985-12-19No211 Lbs6 ft0NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Hayden HodgsonRW271996-03-02No208 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Helge GransD202002-05-10Yes205 Lbs6 ft4NoNoNo4ELCPro & Farm900,000$0$0$No
Jake SlakerC261996-06-28No185 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Jeremy GroleauD231999-10-25No193 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Liam FoudyC/RW232000-02-04No187 Lbs6 ft2NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Marian StudenicLW/RW241998-10-28No181 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt TennysonD321990-04-23No205 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matthew StromeLW241999-01-06No206 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Mike HardmanC/LW/RW241999-02-05No205 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Nick HenryRW231999-07-04No190 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan MerkleyD222000-08-14No186 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Seth GriffithC/RW301993-01-04No190 Lbs5 ft9NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1725.53193 Lbs6 ft12.41505,882$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marian StudenicMike HardmanHayden Hodgson40122
2Matthew StromeLiam FoudySeth Griffith30122
3Jake SlakerCameron HillisNick Henry20122
4Marian StudenicJake SlakerMike Hardman10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt TennysonRyan Merkley40122
2Helge GransCameron Gaunce30122
3Cameron CrottyArtemi Kniazev20122
4Jeremy GroleauMatt Tennyson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marian StudenicMike HardmanHayden Hodgson60122
2Matthew StromeLiam FoudySeth Griffith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt TennysonRyan Merkley60122
2Helge GransCameron Gaunce40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Marian StudenicMike Hardman60122
2Hayden HodgsonLiam Foudy40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt TennysonRyan Merkley60122
2Helge GransCameron Gaunce40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Marian Studenic60122Matt TennysonRyan Merkley60122
2Mike Hardman40122Helge GransCameron Gaunce40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Marian StudenicMike Hardman60122
2Hayden HodgsonLiam Foudy40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt TennysonRyan Merkley60122
2Helge GransCameron Gaunce40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Marian StudenicMike HardmanHayden HodgsonMatt TennysonRyan Merkley
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Marian StudenicMike HardmanHayden HodgsonMatt TennysonRyan Merkley
Extra Forwards
Normal PowerPlayPenalty Kill
Cameron Hillis, Nick Henry, Seth GriffithCameron Hillis, Nick HenrySeth Griffith
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron Crotty, Artemi Kniazev, Jeremy GroleauCameron CrottyArtemi Kniazev, Jeremy Groleau
Penalty Shots
Marian Studenic, Mike Hardman, Hayden Hodgson, Liam Foudy, Seth Griffith
Goalie
#1 : Carter Hutton, #2 :
Custom OT Lines Forwards
Marian Studenic, Mike Hardman, Hayden Hodgson, Liam Foudy, Seth Griffith, Matthew Strome, Matthew Strome, Cameron Hillis, Jake Slaker, Nick Henry,
Custom OT Lines Defensemen
Matt Tennyson, Ryan Merkley, Helge Grans, Cameron Gaunce, Cameron Crotty


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
7298W1238447685215215984488201360013
All Games
GPWLOTWOTL SOWSOLGFGA
7238205333238141
Home Games
GPWLOTWOTL SOWSOLGFGA
361711411211264
Visitor Games
GPWLOTWOTL SOWSOLGFGA
36219122112677
Last 10 Games
WLOTWOTL SOWSOL
711100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3656016.44%3524288.07%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
74070368244109695210
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1413227862.03%1186205057.85%611101959.96%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
202114731492479850457


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
2 - 2022-09-2911Phantoms3Monsters4LBoxScore
4 - 2022-10-0124Bears1Phantoms3WBoxScore
6 - 2022-10-0342Phantoms2Comets0WBoxScore
7 - 2022-10-0450Phantoms1Senators3LBoxScore
9 - 2022-10-0662Bears1Phantoms8WBoxScore
12 - 2022-10-0985Comets1Phantoms2WBoxScore
14 - 2022-10-1193Phantoms3Comets2WXXBoxScore
17 - 2022-10-14117Checkers2Phantoms1LBoxScore
19 - 2022-10-16136Americans3Phantoms2LBoxScore
21 - 2022-10-18154Phantoms6Marlies2WBoxScore
22 - 2022-10-19158Phantoms2IceHogs0WBoxScore
25 - 2022-10-22182Gulls1Phantoms2WXXBoxScore
27 - 2022-10-24199Phantoms8Bears2WBoxScore
28 - 2022-10-25208Checkers1Phantoms2WXBoxScore
32 - 2022-10-29230Phantoms7Condors4WBoxScore
34 - 2022-10-31243Devils3Phantoms0LBoxScore
37 - 2022-11-03266Phantoms1Americans5LBoxScore
39 - 2022-11-05279Wranglers2Phantoms1LBoxScore
41 - 2022-11-07295Phantoms4Wranglers5LXXBoxScore
43 - 2022-11-09310Comets4Phantoms0LBoxScore
45 - 2022-11-11328Americans3Phantoms0LBoxScore
47 - 2022-11-13342Phantoms6Monsters0WBoxScore
49 - 2022-11-15358Phantoms7Roadrunners2WBoxScore
51 - 2022-11-17371Thunderbirds2Phantoms4WBoxScore
55 - 2022-11-21395Bears0Phantoms5WBoxScore
58 - 2022-11-24420Marlies1Phantoms6WBoxScore
60 - 2022-11-26438Phantoms2Admirals3LBoxScore
62 - 2022-11-28450Wild3Phantoms4WXBoxScore
64 - 2022-11-30463Phantoms2Moose1WBoxScore
66 - 2022-12-02480Phantoms1Sound Tigers2LBoxScore
68 - 2022-12-04491Admirals0Phantoms6WBoxScore
70 - 2022-12-06505Phantoms3Rocket1WBoxScore
72 - 2022-12-08520Rampage3Phantoms2LBoxScore
75 - 2022-12-11542Phantoms2Barracuda1WBoxScore
77 - 2022-12-13557Rocket2Phantoms1LXBoxScore
79 - 2022-12-15573Phantoms2Rampage5LBoxScore
81 - 2022-12-17587Roadrunners0Phantoms4WBoxScore
83 - 2022-12-19603Phantoms3Penguins2WXXBoxScore
85 - 2022-12-21620Senators1Phantoms2WXBoxScore
87 - 2022-12-23638Phantoms4Devils0WBoxScore
89 - 2022-12-25650IceHogs0Phantoms5WBoxScore
91 - 2022-12-27667Phantoms0Eagles4LBoxScore
93 - 2022-12-29680Monsters2Phantoms1LXXBoxScore
95 - 2022-12-31696Phantoms9Reign1WBoxScore
97 - 2023-01-02709Phantoms6Firebirds0WBoxScore
98 - 2023-01-03725Phantoms5Wolf Pack2WBoxScore
100 - 2023-01-05733Bruins2Phantoms1LBoxScore
103 - 2023-01-08756Crunch4Phantoms6WBoxScore
106 - 2023-01-11779Penguins2Phantoms0LBoxScore
108 - 2023-01-13788Phantoms0Senators6LBoxScore
110 - 2023-01-15806Phantoms2Stars1WBoxScore
112 - 2023-01-17821Wolf Pack3Phantoms1LBoxScore
115 - 2023-01-20840Sound Tigers3Phantoms2LBoxScore
117 - 2023-01-22852Phantoms6Crunch1WBoxScore
119 - 2023-01-24870Phantoms3Gulls0WBoxScore
120 - 2023-01-25882Reign2Phantoms7WBoxScore
123 - 2023-01-28899Phantoms2Wolves3LXBoxScore
124 - 2023-01-29915Eagles3Phantoms2LXXBoxScore
128 - 2023-02-02937Condors0Phantoms5WBoxScore
130 - 2023-02-04955Phantoms4Checkers3WBoxScore
131 - 2023-02-05964Phantoms4Comets2WBoxScore
133 - 2023-02-07979Griffins1Phantoms2WXBoxScore
136 - 2023-02-101002Barracuda3Phantoms5WBoxScore
137 - 2023-02-111007Phantoms3Wild5LBoxScore
139 - 2023-02-131022Phantoms0Bruins1LXBoxScore
142 - 2023-02-161042Firebirds2Phantoms7WBoxScore
144 - 2023-02-181056Phantoms7IceHogs1WBoxScore
146 - 2023-02-201072Moose1Phantoms5WBoxScore
147 - 2023-02-211076Phantoms2Thunderbirds0WBoxScore
151 - 2023-02-251106Stars2Phantoms3WBoxScore
156 - 2023-03-021130Phantoms4Griffins3WXBoxScore
159 - 2023-03-051147Wolves0Phantoms5WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance69,39734,055
Attendance PCT96.38%94.60%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2874 - 95.79% 71,860$2,586,953$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,086,817$ 86,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 86,846$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 6,745$ 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
158237360025224922029412316000201431043941142000232106116-108824944369203092767625760874815874193162693415534297016.32%3725684.95%11530274655.72%1218229653.05%680123255.19%209815051881579976496
16825117034522791501294128601240163659841231102212116853112427950678511401179361238308028087601789545101515114186515.55%4085586.52%31573259760.57%1357231758.57%689116459.19%228316721719550964512
1772382005333238141973617110411211264483621901221126774998238447685013109695210215274070368244159844882013603656016.44%3524288.07%31413227862.03%1186205057.85%611101959.96%202114731492479850457
Total Regular Season4702581390141826151448917531235142650661067954463492351167408121696534711826291448262540732711095204263631344274044104423382110115303266629365254840816.01%263431288.15%2088911517858.58%74951326456.51%3821670556.99%1289893039976322955872956
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
161165000002527-2642000001615152300000912-3122544690008672670848878267671251907157.04%58886.21%017536348.21%17135348.44%7615848.10%2731892788614269
Total Playoff4928210000011410212231310000005450426151100000605285611420131503032383611970365380365111928686510193984110.30%3764388.56%3891168652.85%849164651.58%35470350.36%12748671237407644319