DucksAnaheim Ducks
6-2-1, 13pts · 3rd in Conference Ouest
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Paul Stastny (A)0C100.00633575797389637884807175758566395070326,500,000$/3yrs
Phillip Danault0C/LW100.00694174757788947490776682706158765070253,083,333$/3yrs
Jordan Staal0C100.00843576739089637290726974718661715069306,000,000$/4yrs
David Perron0LW100.00663572787487707766747765778165625069304,000,000$/4yrs
Andrew Shaw0RW100.00794166776984767677757374757061475069273,900,000$/3yrs
Alexander Steen0LW100.00653579707784786963696781688962425067345,750,000$/3yrs
Carter Rowney0C100.00893575688280756778676575665552355065291,133,333$/3yrs
Brandon Sutter0C100.00703581668188636578636775667758685065294,375,000$/2yrs
Leo Komarov0RW100.00843568687482956772686371656655305065313,000,000$/4yrs
Pat Maroon0LW100.00775663698881876864686659676855385064301,750,000$/1yrs
Miles Wood0LW100.0073475669798276685068676468585260506323925,000$/1yrs
Austin Czarnik0C/LW/RW100.00573575686377676772686567665551375061251,250,000$/2yrs
Brandon Carlo0D100.0077417663928785633065618262595376506821894,000$/1yrs
TJ Brodie0D100.00583581707488927030736577687357485068284,650,000$/2yrs
Dan Girardi0D100.00843579668081756630686377658761235068343,000,000$/1yrs
P.K. Subban (C)0D100.00663573727691767130746769697663595067299,000,000$/1yrs
Mike Green0D100.00723580747989567330806664708365425067325,375,000$/1yrs
Derrick Pouliot0D100.00703575657480756430666263635852845062241,100,000$/1yrs
Scratches
TEAM AVERAGE100.00723874717885767059716772687258525067
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Connor Hellebuyck0100.0091939788908991908990836679555085256,166,666$/6yrs
Casey DeSmith0100.009080897189889089888982547236508027675,000$/1yrs
Scratches
Chad Johnson0100.0071717083707071707070666468355069321,750,000$/1yrs
TEAM AVERAGE100.0084818581838284838283776173425078
Farm
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Michael Amadio0C100.0057357469786584687063636065535163566122925,000$/1yrs
Byron Froese0C100.0054896270785050707063635263545149535827650,000$/1yrs
Valentin Zykov0LW100.0064357563787164625462615962525074595823675,000$/1yrs
Phillip Di Giuseppe0LW100.0065357165736262656060595861565272535724725,000$/1yrs
Sean Walker0D100.0061357667726769673064625864525042535923745,000$/1yrs
Keegan Lowe0D100.0051895863764950633050505550505062615325650,000$/2yrs
Scratches
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
General Manager
Patrick Lanctot
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Paul StastnyDucksDucks0C94711160103791510.81%419.822243000051053.04%18195001.2313
2Andrew ShawDucksDucks0RW94590120213051913.33%218.250223000001044.44%9155001.1023
3Phillip DanaultDucksDucks0C/LW9178660101511136.67%917.040006011460063.81%105156001.0400
4TJ BrodieDucksDucks0D933610006125325.00%1023.810002210129000.00%029000.5600
5David PerronDucksDucks0LW94151001627112614.81%219.042023000000037.50%8162000.5801
6Brandon CarloDucksDucks0D9134-2201084312.50%1622.840222200042010.00%006000.3900
7Brandon SutterDucksDucks0C9134420815266.67%312.010000000190153.13%3221000.7400
8Pat MaroonDucksDucks0LW922468011116618.18%211.310001000001033.33%390000.7900
9Alexander SteenDucksDucks0LW92133004189611.11%318.5800015112360020.00%10115000.3600
10Jordan StaalDucksDucks0C912326016298223.45%516.9410125000130063.64%88142000.3900
11Mike GreenDucksDucks0D9033-200512850.00%1118.45011350000000.00%045000.3600
12Dan GirardiDucksDucks0D91121401066116.67%817.76000000041100.00%017000.2501
13Austin CzarnikDucksDucks0C/LW/RW8101040864716.67%110.0100000004000.00%540000.2500
14Miles WoodDucksDucks0LW10011-11401310240.00%210.05000000040050.00%1240000.2000
15P.K. SubbanDucksDucks0D90111010097650.00%1525.940003400024000.00%066000.0900
16Leo KomarovDucksDucks0RW90111602011280.00%112.800111100000071.43%731000.1700
17Carter RowneyDucksDucks0C90000009173120.00%18.19000000000080.00%573000.0000
18Derrick PouliotDucksDucks0D900014050200.00%713.3500010003000.00%003000.0000
Team Total or Average162254166418401912711031619.23%10216.4658132782242714256.13%46512266000.5038
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
1Connor HellebuyckDucksDucks86200.9291.964900016224122001.000581111
2Casey DeSmithDucksDucks10010.9710.92650013418000.000218100
Team Total or Average96210.9341.845550017258140000.714799211
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1DucksBruins1000000112-110.50012300010030108863481020400.00%50100.00%011219956.28%11019456.70%6010656.60%241525915733.3%3.3%94.1%97.5DULL
2DucksCoyotes1010000014-300.0001230000102891090278624300.00%4175.00%011219956.28%11019456.70%6010656.60%231522714725.0%3.6%85.2%88.8Unlucky
3DucksRed Wings1000001032121.0003250011023519693341112135120.00%6183.33%111219956.28%11019456.70%6010656.60%241725814666.7%8.6%94.1%102.7DULL
4DucksPenguins1010000014-300.000112000010304101603212624400.00%3233.33%011219956.28%11019456.70%6010656.60%221421716833.3%3.3%87.5%90.8Unlucky
5DucksSabres1100000061521.00069150030302713311025910263266.67%50100.00%011219956.28%11019456.70%6010656.60%221321716880.0%22.2%96.0%118.2LUCKY
6DucksSharks1100000061521.00061117003300298111003515216300.00%10100.00%011219956.28%11019456.70%6010656.60%261819614885.7%20.7%97.1%117.8LUCKY
7DucksBlue Jackets1000001021121.000224001001271537526151226400.00%6183.33%011219956.28%11019456.70%6010656.60%2516248157100.0%7.4%96.2%103.6DULL
8DucksHurricanes1100000042221.00047110020203496190251516185240.00%80100.00%011219956.28%11019456.70%6010656.60%191026914750.0%11.8%92.0%103.8LUCKY
9DucksFlames1100000031221.000347000210304121402011821300.00%4175.00%111219956.28%11019456.70%6010656.60%2416197157100.0%10.0%95.0%105.0LUCKY
_Vs Division32100000106440.66710172700352087213333082341661900.00%9277.78%111219956.28%11019456.70%6010656.60%74506121442371.4%11.5%92.7%104.2LUCKY
_Vs Conference32100000106440.66710172700352087213333082341661900.00%9277.78%111219956.28%11019456.70%6010656.60%74506121442371.4%11.5%92.7%104.2LUCKY
_Since Last GM Reset9420002127189130.72227406700107832709169103142581048218834514.71%42685.71%211219956.28%11019456.70%6010656.60%212137205731366964.7%10.0%93.0%103.0LUCKY
Total9420002127189130.72227406700107832709169103142581048218834514.71%42685.71%211219956.28%11019456.70%6010656.60%212137205731366964.7%10.0%93.0%103.0LUCKY

Puck Time
Offensive Zone 23
Neutral Zone 15
Defensive Zone 22
Puck Time
Offensive Zone Start 199
Neutral Zone Start 106
Defensive Zone Start 194
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 282
Faceoffs Lost 217
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 17.820.31
3rd Period 29.230.68
Overtime 30.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 1.91.65
3rd Period 2.82.67
Overtime 3.12.83
Even Strenght Goal 20
PP Goal 5
PK Goal 2
Empty Net Goal 0
Home Away
Win 42
Lost 11
Overtime Lost 01
PP Attempt 34
PP Goal 5
PK Attempt 42
PK Goal Against 6
Home
Shots For 30.0
Shots Against 28.7
Goals For 3.0
Goals Against 2.0
Hits 20.9
Shots Blocked 11.6
Pim 9.1
Cap Hit
Ducks
Projected Total Cap Hit74,277,332$
Projected Cap Space5,222,668$
Retains And Buyout Cap Hit0$
Salary Cap To Date8,084,656$
Players In Salary Cap21
LTIR Players0
Ducks Roster Pos Age Cap Hit 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25 2025-26 2026-27
Alexander Steen LW345,750,000$5,750,000$ 5,750,000$ 5,750,000$
Andrew Shaw RW273,900,000$3,900,000$ 3,900,000$ 3,900,000$
Austin Czarnik C/LW/RW251,250,000$1,250,000$ 1,250,000$
Brandon Carlo D21894,000$894,000$
Brandon Sutter C294,375,000$4,375,000$ 4,375,000$
Carter Rowney C291,133,333$1,133,333$ 1,133,333$ 1,133,333$
Casey DeSmith G27675,000$675,000$
Chad Johnson G321,750,000$1,750,000$
Connor Hellebuyck G256,166,666$6,166,666$ 6,166,666$ 6,166,666$ 6,166,666$ 6,166,666$ 6,166,666$
Dan Girardi D343,000,000$3,000,000$
David Perron LW304,000,000$4,000,000$ 4,000,000$ 4,000,000$ 4,000,000$
Derrick Pouliot D241,100,000$1,100,000$
Jordan Staal C306,000,000$6,000,000$ 6,000,000$ 6,000,000$ 6,000,000$
Leo Komarov RW313,000,000$3,000,000$ 3,000,000$ 3,000,000$ 3,000,000$
Mike Green D325,375,000$5,375,000$
Miles Wood LW23925,000$925,000$
P.K. Subban D299,000,000$9,000,000$
Pat Maroon LW301,750,000$1,750,000$
Paul Stastny C326,500,000$6,500,000$ 6,500,000$ 6,500,000$
Phillip Danault C/LW253,083,333$3,083,333$ 3,083,333$ 3,083,333$
TJ Brodie D284,650,000$4,650,000$ 4,650,000$

Lines
Forward Lines


#0 - David Perron


#0 - Paul Stastny


#0 - Andrew Shaw


#0 - Alexander Steen


#0 - Jordan Staal


#0 - Leo Komarov


#0 - Pat Maroon


#0 - Phillip Danault


#0 - Miles Wood


#0 - Carter Rowney


#0 - Brandon Sutter


#0 - Austin Czarnik

Defensive Pairings


#0 - P.K. Subban


#0 - TJ Brodie


#0 - Mike Green


#0 - Brandon Carlo


#0 - Dan Girardi


#0 - Derrick Pouliot

1st Power Play Unit


#0 - David Perron


#0 - Paul Stastny


#0 - Andrew Shaw


#0 - P.K. Subban


#0 - Mike Green

2nd Power Play Unit


#0 - Pat Maroon


#0 - Jordan Staal


#0 - Leo Komarov


#0 - Brandon Carlo


#0 - TJ Brodie

Goalies
Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1DucksBruins1000000112-110.50012300010030108863481020400.00%50100.00%011219956.28%11019456.70%6010656.60%241525915733.3%3.3%94.1%97.5DULL
2DucksCoyotes1010000014-300.0001230000102891090278624300.00%4175.00%011219956.28%11019456.70%6010656.60%231522714725.0%3.6%85.2%88.8Unlucky
3DucksRed Wings1000001032121.0003250011023519693341112135120.00%6183.33%111219956.28%11019456.70%6010656.60%241725814666.7%8.6%94.1%102.7DULL
4DucksPenguins1010000014-300.000112000010304101603212624400.00%3233.33%011219956.28%11019456.70%6010656.60%221421716833.3%3.3%87.5%90.8Unlucky
5DucksSabres1100000061521.00069150030302713311025910263266.67%50100.00%011219956.28%11019456.70%6010656.60%221321716880.0%22.2%96.0%118.2LUCKY
6DucksSharks1100000061521.00061117003300298111003515216300.00%10100.00%011219956.28%11019456.70%6010656.60%261819614885.7%20.7%97.1%117.8LUCKY
7DucksBlue Jackets1000001021121.000224001001271537526151226400.00%6183.33%011219956.28%11019456.70%6010656.60%2516248157100.0%7.4%96.2%103.6DULL
8DucksHurricanes1100000042221.00047110020203496190251516185240.00%80100.00%011219956.28%11019456.70%6010656.60%191026914750.0%11.8%92.0%103.8LUCKY
9DucksFlames1100000031221.000347000210304121402011821300.00%4175.00%111219956.28%11019456.70%6010656.60%2416197157100.0%10.0%95.0%105.0LUCKY
_Vs Division32100000106440.66710172700352087213333082341661900.00%9277.78%111219956.28%11019456.70%6010656.60%74506121442371.4%11.5%92.7%104.2LUCKY
_Vs Conference32100000106440.66710172700352087213333082341661900.00%9277.78%111219956.28%11019456.70%6010656.60%74506121442371.4%11.5%92.7%104.2LUCKY
_Since Last GM Reset9420002127189130.72227406700107832709169103142581048218834514.71%42685.71%211219956.28%11019456.70%6010656.60%212137205731366964.7%10.0%93.0%103.0LUCKY
Total9420002127189130.72227406700107832709169103142581048218834514.71%42685.71%211219956.28%11019456.70%6010656.60%212137205731366964.7%10.0%93.0%103.0LUCKY

Puck Time
Offensive Zone 23
Neutral Zone 15
Defensive Zone 22
Puck Time
Offensive Zone Start 199
Neutral Zone Start 106
Defensive Zone Start 194
Puck Time
With Puck 31
Without Puck 30
Faceoffs
Faceoffs Won 282
Faceoffs Lost 217
Team Average Shots after League Average Shots after
1st Period 10.19.57
2nd Period 17.820.31
3rd Period 29.230.68
Overtime 30.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.10.64
2nd Period 1.91.65
3rd Period 2.82.67
Overtime 3.12.83
Even Strenght Goal 20
PP Goal 5
PK Goal 2
Empty Net Goal 0
Home Away
Win 42
Lost 11
Overtime Lost 01
PP Attempt 34
PP Goal 5
PK Attempt 42
PK Goal Against 6
Home
Shots For 30.0
Shots Against 28.7
Goals For 3.0
Goals Against 2.0
Hits 20.9
Shots Blocked 11.6
Pim 9.1
Schedule
DateMatchup Result Detail
2019-10-04DucksCoyotes@DucksDucksCoyotes4,Ducks1RECAP
2019-10-06DucksSharks@DucksDucksSharks1,Ducks6RECAP
2019-10-09DucksDucks@DucksRed WingsDucks3,Red Wings2 (SO)RECAP
2019-10-11DucksDucks@DucksPenguinsDucks1,Penguins4RECAP
2019-10-12DucksDucks@DucksBlue JacketsDucks2,Blue Jackets1 (SO)RECAP
2019-10-15DucksDucks@DucksBruinsDucks1,Bruins2 (SO)RECAP
2019-10-17DucksSabres@DucksDucksSabres1,Ducks6RECAP
2019-10-19DucksHurricanes@DucksDucksHurricanes2,Ducks4RECAP
2019-10-21DucksFlames@DucksDucksFlames1,Ducks3RECAP
2019-10-23DucksDucks@DucksPredators
2019-10-25DucksDucks@DucksStars
2019-10-27DucksDucks@DucksAvalanche
2019-10-28DucksDucks@DucksGolden Knights
2019-10-30DucksJets@DucksDucks
2019-11-02DucksCanucks@DucksDucks
2019-11-04DucksBlackhawks@DucksDucks
2019-11-06DucksWild@DucksDucks
2019-11-11DucksOilers@DucksDucks
2019-11-13DucksRed Wings@DucksDucks
2019-11-15DucksSharks@DucksDucks
2019-11-17DucksDucks@DucksBlues
2019-11-19DucksDucks@DucksCapitals
2019-11-22DucksDucks@DucksPanthers
2019-11-24DucksDucks@DucksLightning
2019-11-26DucksIslanders@DucksDucks
2019-11-28DucksDucks@DucksCoyotes
2019-11-30DucksJets@DucksDucks
2019-12-03DucksKings@DucksDucks
2019-12-07DucksCapitals@DucksDucks
2019-12-09DucksDucks@DucksJets
2019-12-11DucksDucks@DucksWild
2019-12-13DucksKings@DucksDucks
2019-12-15DucksRangers@DucksDucks
2019-12-18DucksDucks@DucksFlyers
2019-12-19DucksDucks@DucksDevils
2019-12-22DucksDucks@DucksIslanders
2019-12-23DucksDucks@DucksRangers
2019-12-28DucksGolden Knights@DucksDucks
2019-12-30DucksFlyers@DucksDucks
2020-01-01DucksDucks@DucksGolden Knights
2020-01-03DucksDucks@DucksCoyotes
2020-01-06DucksPredators@DucksDucks
2020-01-08DucksBlue Jackets@DucksDucks
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Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
74,277,332$ 0$ 74,277,332$ 5,222,668$

ArenaGoal HornAbout us
NameHonda Center
CityAnaheim
Capacity18000
Season Ticket Holders40%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity60005000200040001000
Ticket Price100$60$35$25$200$
Attendance28844236489567179064695
Attendance PCT96.15%94.59%95.67%89.53%93.90%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 16932 - 94.07% 614,527$3,072,634$18000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
74,277,332$ 74,277,332$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
8,084,656$ 74,277,332$ 8,084,656$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
22,122,965$ 166 399,340$ 66,290,440$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
70,022,506$ 74,277,332$ -264,827,540$ -312,727,081$
Depth Chart Star Player Franchise Player RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing
Alexander SteenAGE:34DucksCAN
David PerronAGE:30DucksCAN
Phillip DanaultAGE:25DucksCAN
Pat MaroonAGE:30DucksUSA
Austin CzarnikAGE:25DucksUSA
Miles WoodAGE:23DucksUSA
Phillip Di GiuseppeAGE:24DucksCAN
Valentin ZykovAGE:23DucksRUS
Paul StastnyAGE:32DucksCAN
Jordan StaalAGE:30DucksCAN
Brandon SutterAGE:29DucksUSA
Phillip DanaultAGE:25DucksCAN
Austin CzarnikAGE:25DucksUSA
Carter RowneyAGE:29DucksCAN
Michael AmadioAGE:22DucksCAN
Byron FroeseAGE:27DucksCAN
Andrew ShawAGE:27DucksCAN
Leo KomarovAGE:31DucksEST
Austin CzarnikAGE:25DucksUSA

Defense #1Defense #2Goalie
P.K. SubbanAGE:29DucksCAN
Mike GreenAGE:32DucksCAN
TJ BrodieAGE:28DucksCAN
Dan GirardiAGE:34DucksCAN
Derrick PouliotAGE:24DucksCAN
Brandon CarloAGE:21DucksUSA
Sean WalkerAGE:23DucksCAN
Keegan LoweAGE:25DucksUSA
Connor HellebuyckAGE:25DucksUSA
Chad JohnsonAGE:32DucksCAN
Casey DeSmithAGE:27DucksUSA

Draft Picks
Year Ronde 1Ronde 2Ronde 3Ronde 4Ronde 5Ronde 6Ronde 7
2020
2021
2022
2023
2024

** Conditional Draft Pick That Have Been Traded
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
1 ballo ana 2020DucksDucks
2 ballo ana 2020DucksDucks
Adam MusilDucksDucks
Blaine ByronDucksDucks
Boris KatchoukDucksDucks201647
Brady GilmourDucksDucks
Brandon CrawleyDucksDucks
Brandon HickeyDucksDucks
Brayden ChizenDucksDucks2016209
Brendan De JongDucksDucks
Calle Andersson DucksDucks
Clinston FranklinDucksDucks
Daniil MisyulDucksDucks201988
David WestlundDucksDucks
Gilles SennDucksDucks
Guillaume BriseboisDucksDucks
Hampus MelenDucksDucks
Harrison BlaisdellDucksDucks2019150
Jacob InghamDucksDucks2018170
Jake PivonkaDucksDucks2018108
Jakub KindlDucksDucks
Jeremy BraccoDucksDucks
Joe VelenoDucksDucks201815
Jordan HarrisDucksDucks201877
Josiah SlavinDucksDucks2018201
Liam DundaDucksDucks
Matthew CairnsDucksDucks201697
Micheal MerschDucksDucks
Mike KostkaDucksDucks
Nathan ClurmanDucksDucks2016179
Nikita NesterenkoDucksDucks2019181
Nikolai KovalenkoDucksDucks2018139
Olivier LeblancDucksDucks
Owen TippettDucksDucks
Philip SamuelssonDucksDucks
Quentin ShoreDucksDucks
Reilly WebbDucksDucks
Robbie RussoDucksDucks
Skyler BrindamourDucksDucks
Stephon WilliamsDucksDucks
Turner ElsonDucksDucks
Vadim ZherenkoDucksDucks2019212
Vincent DunnDucksDucks
Yegor SpiridonovDucksDucks2019119
graham blackDucksDucks
john ramageDucksDucks
josh wesleyDucksDucks
judd petersonDucksDucks

Injuries
No Injury or Suspension.

Game Center

Hurricanes4-3-2, 10pts24Final
Ducks6-2-1, 13pts

Flames4-4-2, 10pts13Final
Ducks6-2-1, 13pts

Ducks6-2-1, 13ptsWed, Oct 23Sommet Center
Predators2-5-1, 5pts

Ducks6-2-1, 13ptsFri, Oct 25Americain Airlines Center
Stars5-6-0, 10pts

Ducks6-2-1, 13ptsSun, Oct 27Pepsi Center
Avalanche3-5-1, 7pts

Team Leaders

GOALS
Paul Stastny
4
ASSISTS
Paul Stastny
7
POINTS
Paul Stastny
11
PLUS/MINUS
TJ Brodie
10
WINS
Connor Hellebuyck
6
SV%
Casey DeSmith
0.971

Team Stats


Goals For
27
3.00 GFG
Shots For
270
30.00 Avg
Power Play Percentage
14.7%
5 GF
Offensive Zone Start
50.6%
Goals Against
18
2.00 GAA
Shots Against
258
28.67 Avg
Penalty Kill Percentage
85.7%
6 GA
Defensive Zone Start
49.4%
 

Team Info

Ducks
General ManagerPatrick Lanctot
Head Coach
ConferenceConference Ouest
DivisionPacifique

Ducks Affiliation

Ducks
Team NamePortland
CityPortland
Head Coach
DivisionDivision 4

Arena Info

StadiumHonda Center
Capacity18,000
Attendance16,932
Season Tickets7,200

Salary Cap

Total Cap Hit74,277,332$
Cap Hit Percentage93.43%
Projected Cap Space5,222,668$
Retains & Buyout0$

Finance

Team Revenue3,072,634$
Estimated Revenue25,195,599$
Estimated Expenses74,375,096$
Operating Income-49,179,497$
Bank Account-264,827,540$

Team History

20196-2-1 (13PTS)
Record (W-L-OTL)51-27-13 (83PTS)
Playoff Appearances0
Playoff Record (W-L)0-
Stanley Cup0

Entry Draft