Icedogs

GP: 4 | W: 0 | L: 4
GF: 6 | GA: 15 | PP%: 13.33% | PK%: 88.89%
GM : Fred Joanis | Morale : 99 | Team Overall : 77
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Mika ZibanejadX100.00886888858686928687868683997884070810
2Elias LindholmXX100.00786894858186918784898592677682073810
3Filip ForsbergX100.00876691888484718550808981807888056790
4Bo HorvatX100.00746991908786938492838578827484074790
5Timo MeierXX100.00826885868682858650848781657277057780
6Tom WilsonX100.00959157849284698266778690658083053780
7Travis ZajacX100.00756594878485898094807983628887060780
8Brendan Gallagher (C)X100.00877087858182898157748879667988074770
9Brett Connolly (R)XX100.00726893878379858050788277627778061760
10Craig SmithX100.00786794868381817860738378658183047750
11Artturi Lehkonen (R)XX100.00866491847881887450757388557175074750
12Alexander WennbergX100.00696496878081807174786480507477018720
13David SavardX100.00867390859085927150717084537882075780
14Rasmus RistolainenX100.00947389879091917650856771507584053780
15Hampus LindholmX100.00796988878590887350786881517981073770
16Brandon CarloX100.00906786848586816650676490507375077760
17Kris RussellX100.00836192857786816850706584508587049760
18Ryan MurrayX100.00706796868487647450856389507476064750
Scratches
1Ryan Nugent-Hopkins (A)XX100.00756093908086928573858579857885069800
2Jesse PuljujarviX100.00786592878377486850676971526969021680
3Matt Benning (R)X100.00876890828380756950706873517173068730
TEAM AVERAGE100.0082688986848482776178768262778106077
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
1Frederik Andersen100.0075869096737678767578758084073780
2Jonathan Quick100.0073798489757476717471759291074760
Scratches
1Juuse Saros (R)100.0079727980797780787978777075067760
TEAM AVERAGE100.007679848876767875767676818307177
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo76807284777899CAN451975,000$


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
1Filip ForsbergIcedogsLW4033-3008710450.00%29022.6001101300006000.00%933000.6600000000
2Mika ZibanejadIcedogsC4112-320991041110.00%59323.27000013000080050.76%13225000.4300000000
3Brett ConnollyIcedogsLW/RW4112-1202111269.09%25012.6201100000030050.00%631000.7900000000
4Rasmus RistolainenIcedogsD4112-4406565316.67%211127.9110111600006000.00%064000.3600000000
5Elias LindholmIcedogsC/RW4112-30075107910.00%39323.39011113000190050.00%821000.4300000000
6Travis ZajacIcedogsC4022-200126150.00%34812.1001100000000054.55%2201000.8300000000
7Craig SmithIcedogsRW4101-1001411539.09%2328.150000000000000.00%040000.6100000000
8Brendan GallagherIcedogsRW4101-1006570614.29%15012.531011500000000.00%021000.4000000000
9Hampus LindholmIcedogsD4011-100332310.00%38621.6300001000007000.00%014000.2300000000
10Alexander WennbergIcedogsC4011-100234050.00%1338.3300000000020033.33%1200000.6000000000
11David SavardIcedogsD4000-4206145210.00%511428.6800001600008000.00%003000.0000000000
12Brandon CarloIcedogsD4000-51210424020.00%14812.040000000000000.00%004000.0000101000
13Timo MeierIcedogsLW/RW4000-455526460.00%16716.78000112000000050.00%431000.0000010000
14Ryan MurrayIcedogsD4000-500138510.00%24711.850000000002000.00%011000.0000000000
15Tom WilsonIcedogsRW4000-560966150.00%46315.9000007000000025.00%420000.0000000000
16Kris RussellIcedogsD4000-100445320.00%78320.8800001000007000.00%003000.0000000000
17Artturi LehkonenIcedogsLW/RW4000-1001023240.00%1307.6400000000000050.00%200000.0000000000
18Bo HorvatIcedogsC4000-5007117190.00%17017.66000012000020057.14%5621000.0000000000
Team Total or Average7261117-503315918812149844.96%46121516.8924641350001660049.41%2553133000.2800111000
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
1Frederik AndersenIcedogs30210.9033.55186001111353000.000031000
2Jonathan QuickIcedogs10100.8954.00600043816000.000013000
Team Total or Average40310.9013.66246001515169000.000044000


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alexander WennbergIcedogsC251994-09-22 03:26:19No196 Lbs6 ft2NoNoNo1Pro Only3,675,000$3,675,000$0$NoLink
Artturi LehkonenIcedogsLW/RW241995-07-04 09:26:19Yes183 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$NoLink
Bo HorvatIcedogsC251995-04-05 09:26:19No223 Lbs6 ft0NoNoNo5Pro & Farm5,500,000$5,500,000$0$No5,500,000$5,500,000$5,500,000$5,500,000$Link
Brandon CarloIcedogsD231996-11-26 15:26:19No212 Lbs6 ft5NoNoNo1Pro & Farm894,000$894,000$0$NoLink
Brendan GallagherIcedogsRW281992-05-06 15:26:19No184 Lbs5 ft9NoNoNo3Pro & Farm3,750,000$3,750,000$0$No3,750,000$3,750,000$Link
Brett ConnollyIcedogsLW/RW281992-05-02 15:26:19Yes195 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,500,000$0$NoLink
Craig SmithIcedogsRW301989-09-05 21:26:19No208 Lbs6 ft1NoNoNo2Pro Only925,000$925,000$0$No925,000$Link
David SavardIcedogsD291990-10-22 03:26:19No227 Lbs6 ft2NoNoNo3Pro Only4,250,000$4,250,000$0$No4,250,000$4,250,000$Link
Elias LindholmIcedogsC/RW251994-12-02 03:26:19No192 Lbs6 ft1NoNoNo6Pro Only4,850,000$4,850,000$0$No4,850,000$4,850,000$4,850,000$4,850,000$4,850,000$Link
Filip ForsbergIcedogsLW251994-08-13 03:26:19No205 Lbs6 ft1NoNoNo4Pro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$6,000,000$Link
Frederik AndersenIcedogsG301989-10-02 21:26:20No238 Lbs6 ft4NoNoNo3Pro Only5,000,000$5,000,000$0$No5,000,000$5,000,000$
Hampus LindholmIcedogsD261994-01-20 03:26:19No208 Lbs6 ft3NoNoNo4Pro Only5,250,000$5,250,000$0$No5,250,000$5,250,000$5,250,000$Link
Jesse PuljujarviIcedogsRW221998-05-07 03:26:19No211 Lbs6 ft4NoNoNo1Pro & Farm3,425,000$3,425,000$0$NoLink
Jonathan QuickIcedogsG341986-01-21 03:26:20No216 Lbs6 ft1NoNoNo5Pro Only1,750,000$1,750,000$0$No1,750,000$1,750,000$1,750,000$1,750,000$
Juuse SarosIcedogsG251995-04-19 09:26:20Yes180 Lbs5 ft11NoNoNo3Pro & Farm1,500,000$1,500,000$0$No1,500,000$1,500,000$
Kris RussellIcedogsD331987-05-02 09:26:19No170 Lbs5 ft10NoNoNo3Pro Only2,500,000$2,500,000$0$No2,500,000$2,500,000$Link
Matt BenningIcedogsD261994-05-25 16:19:36Yes203 Lbs6 ft1NoNoNo2Pro & Farm1,900,000$1,900,000$0$No1,900,000$Link
Mika ZibanejadIcedogsC271993-04-18 21:26:19No211 Lbs6 ft2NoNoNo4Pro & Farm5,350,000$5,350,000$0$No5,350,000$5,350,000$5,350,000$Link
Rasmus RistolainenIcedogsD251994-10-27 03:26:19No215 Lbs6 ft4NoNoNo4Pro Only5,400,000$5,400,000$0$No5,400,000$5,400,000$5,400,000$Link
Ryan MurrayIcedogsD261993-09-27 21:26:19No205 Lbs6 ft1NoNoNo1Pro Only2,825,000$2,825,000$0$NoLink
Ryan Nugent-HopkinsIcedogsC/LW271993-04-12 21:26:19No184 Lbs6 ft0NoNoNo3Pro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$Link
Timo MeierIcedogsLW/RW231996-10-08 15:26:19No215 Lbs6 ft0NoNoNo1Pro & Farm1,644,000$1,644,000$0$NoLink
Tom WilsonIcedogsRW261994-03-29 03:26:19No220 Lbs6 ft4NoNoNo1Pro & Farm4,000,000$4,000,000$0$NoLink
Travis ZajacIcedogsC351985-05-13 21:26:19No205 Lbs6 ft3NoNoNo3Pro & Farm5,750,000$5,750,000$0$No5,750,000$5,750,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.96204 Lbs6 ft22.713,523,458$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
84,563,000$65,675,000$62,850,000$34,100,000$12,100,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergMika ZibanejadElias Lindholm40014
2Timo MeierBo HorvatTom Wilson30113
3Brett ConnollyTravis ZajacBrendan Gallagher20032
4Artturi LehkonenAlexander WennbergCraig Smith10041
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus RistolainenDavid Savard40113
2Hampus LindholmKris Russell30122
3Brandon CarloRyan Murray20131
4Rasmus RistolainenDavid Savard10131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Filip ForsbergMika ZibanejadElias Lindholm60014
2Timo MeierBo HorvatBrendan Gallagher40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus RistolainenDavid Savard60113
2Hampus LindholmKris Russell40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadElias Lindholm60140
2Filip ForsbergBo Horvat40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus RistolainenDavid Savard60140
2Hampus LindholmKris Russell40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mika Zibanejad60050Rasmus RistolainenDavid Savard60050
2Elias Lindholm40050Hampus LindholmKris Russell40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mika ZibanejadElias Lindholm60140
2Filip ForsbergBo Horvat40140
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus RistolainenDavid Savard60230
2Hampus LindholmKris Russell40230
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergMika ZibanejadElias LindholmRasmus RistolainenDavid Savard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Filip ForsbergMika ZibanejadElias LindholmRasmus RistolainenDavid Savard
Extra Forwards
Normal PowerPlayPenalty Kill
Travis Zajac, Brendan Gallagher, Brett ConnollyTravis Zajac, Brendan GallagherBrett Connolly
Extra Defensemen
Normal PowerPlayPenalty Kill
Brandon Carlo, Ryan Murray, Hampus LindholmBrandon CarloRyan Murray, Hampus Lindholm
Penalty Shots
Mika Zibanejad, Elias Lindholm, Filip Forsberg, Bo Horvat, Travis Zajac
Goalie
#1 : Frederik Andersen, #2 : Jonathan Quick


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
OverallHomeVisitor
# VS Team 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 PCT 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
1Penguins40400000615-92020000036-32020000039-600.00061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836
Total40400000615-92020000036-32020000039-600.00061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836
_Since Last GM Reset40400000615-92020000036-32020000039-600.00061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836
_Vs Conference40400000615-92020000036-32020000039-600.00061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
40OTL16111712115146339100
All Games
GPWLOTWOTL SOWSOLGFGA
4040000615
Home Games
GPWLOTWOTL SOWSOLGFGA
202000036
Visitor Games
GPWLOTWOTL SOWSOLGFGA
202000039
Last 10 Games
WLOTWOTL SOWSOL
030100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
15213.33%9188.89%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
47403220510
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
449844.90%5410750.47%285056.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
925385346836


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 - 2020-03-024Icedogs1Penguins4LBoxScore
3 - 2020-03-0412Icedogs2Penguins5LBoxScore
5 - 2020-03-0620Penguins3Icedogs1LBoxScore
7 - 2020-03-0828Penguins3Icedogs2LXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity44004300440046001040
Ticket Price1251109060250
Attendance6,4445,5974,6385,1751,608
Attendance PCT73.23%65.08%52.70%56.25%77.31%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
39 11731 - 62.60% 1,900,562$3,801,124$18740100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 84,563,000$ 68,175,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
0$ 8,367,596$ 8,367,596$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
0$ 85,000,000$ 85,000,000$ -60,000,000$



Depth Chart

Left WingCenterRight Wing
Ryan Nugent-HopkinsAGE:27PO:0OV:80
Filip ForsbergAGE:25PO:0OV:79
Timo MeierAGE:23PO:0OV:78
*Brett ConnollyAGE:28PO:0OV:76
*Artturi LehkonenAGE:24PO:0OV:75
Darren HelmAGE:33PO:0OV:73
*Pontus AbergAGE:26PO:0OV:71
Mika ZibanejadAGE:27PO:0OV:81
Elias LindholmAGE:25PO:0OV:81
Ryan Nugent-HopkinsAGE:27PO:0OV:80
Bo HorvatAGE:25PO:0OV:79
Travis ZajacAGE:35PO:0OV:78
Alexander WennbergAGE:25PO:0OV:72
Elias LindholmAGE:25PO:0OV:81
Timo MeierAGE:23PO:0OV:78
Tom WilsonAGE:26PO:0OV:78
Brendan GallagherAGE:28PO:0OV:77
*Brett ConnollyAGE:28PO:0OV:76
Craig SmithAGE:30PO:0OV:75
*Artturi LehkonenAGE:24PO:0OV:75
Darren HelmAGE:33PO:0OV:73
*Pontus AbergAGE:26PO:0OV:71
Jesse PuljujarviAGE:22PO:0OV:68

Defense #1Defense #2Goalie
David SavardAGE:29PO:0OV:78
Rasmus RistolainenAGE:25PO:0OV:78
Hampus LindholmAGE:26PO:0OV:77
Brandon CarloAGE:23PO:0OV:76
Kris RussellAGE:33PO:0OV:76
Ryan MurrayAGE:26PO:0OV:75
*Matt BenningAGE:26PO:0OV:73
*Mirco MuellerAGE:25PO:0OV:72
*Jakob ChychrunAGE:22PO:0OV:72
*Madison BoweyAGE:25PO:0OV:70
*Henri JokiharjuAGE:20PO:0OV:70
*Christian DjoosAGE:25PO:0OV:67
Frederik AndersenAGE:30PO:0OV:78
*Juuse SarosAGE:25PO:0OV:76
Jonathan QuickAGE:34PO:0OV:76
Chad JohnsonAGE:34PO:0OV:70

Prospects

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
Prospect Team NameDraft Year Overall Pick Information Lien
Antoine MorandIcedogs201869
Bode WildeIcedogs
Boris KatchoukIcedogs
Brett BulmerIcedogs
Cale FleuryIcedogs
Cale MakarIcedogs20187
Curtis HamiltonIcedogs
Darren DietzIcedogs
Emilio PettersenIcedogs
Filip ZadinaIcedogs
Fredrik OlofssonIcedogs
Grant MismashIcedogs201889
Griffin ReinhartIcedogs
Gustav OlofssonIcedogs
Jack DoughertyIcedogs
Jack StudnickaIcedogs201867
Janne KuokkanenIcedogs
Jeremy RoyIcedogs
Jonathan DavidssonIcedogs201849
Julien GauthierIcedogs
Mario FerraroIcedogs
Max GildonIcedogs201874
Maxime ComtoisIcedogs201818
Michael AndersonIcedogs201890
Michael Dal ColleIcedogs
Morgan EllisIcedogs
Nikita ScherbakIcedogs
Oliwer KaskiIcedogs
Oscar DanskIcedogs
Patrick HollandIcedogs
Paul BittnerIcedogs
Petteri LindbohmIcedogs
Philipp KurashevIcedogs
Ryan MacInnisIcedogs
Ryan MerkleyIcedogs
Saku MaenalanenIcedogs
Sasha ChmelevskiIcedogs
Shane BowersIcedogs201864
Tim BozonIcedogs
Trevor MooreIcedogs
Tyler ParsonsIcedogs
Valentin ZykovIcedogs
Zachary SenyshynIcedogs

Draft Picks

Year R1R2R3R4R5
2020IDS IDS IDS SEN
2021IDS IDS SEN THU IDS IDS WOL
2022IDS WOL IDS SEN IDS IDS
2023IDS IDS IDS IDS IDS
2024IDS IDS IDS IDS IDS




News Database File Not Found




[2020-05-14 23:21:04] - Monkeys was eliminated at round 1 of year 2019.
[2020-05-14 23:21:04] - Icedogs was eliminated at round 1 of year 2019.
[2020-02-17 23:52:36] - Daniel Carr was released.
[2020-02-17 23:52:36] - Icedogs paid 0 $ to release Daniel Carr.
[2020-02-13 22:33:45] - Craig Smith was added to Icedogs.
[2020-02-13 22:23:23] - Chad Johnson signed with Icedogs for 550 000 $ for 1 year(s) / Option : No Trade.
[2020-02-13 22:23:23] - Chad Johnson was added to Icedogs.
[2020-02-09 18:56:38] - Kris Russell signed with Icedogs for 2 500 000 $ for 3 year(s) / Option : No Trade.
[2020-02-09 18:56:38] - Kris Russell was added to Icedogs.
[2020-02-09 18:49:38] - Jonathan Quick was added to Icedogs.



[2020-05-28 21:37:06] Ryan Nugent-Hopkins from Icedogs is back from Strained Left Elbow Injury.



No Injury or Suspension.


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
2019823631023552422357411617013221221220412014010331201137942423966382166818810265978493592543263878090917692665219.55%2615280.08%31002188653.13%969186252.04%596115551.60%1764101017587511458727
Total Regular Season823631023552422357411617013221221220412014010331201137942423966382166818810265978493592543263878090917692665219.55%2615280.08%31002188653.13%969186252.04%596115551.60%1764101017587511458727
201940400000615-92020000036-32020000039-6061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836
Total Playoff40400000615-92020000036-32020000039-6061117000510121474032215146339115213.33%9188.89%0449844.90%5410750.47%285056.00%925385346836