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Ducks
GP: 11 | W: 4 | L: 7
GF: 35 | GA: 39 | PP%: 20.31% | PK%: 87.76%
GM : Sébastien Charbonneau | Morale : 28 | Team Overall : 66
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Game Center
Kings
14-7-0, 28pts
3
FINAL
2 Ducks
4-7-0, 8pts
Team Stats
L1StreakL3
7-4-0Home Record1-4-0
7-3-0Home Record3-3-0
4-6-0Last 10 Games4-4-2
3.29Goals Per Game3.18
2.81Goals Against Per Game3.55
14.06%Power Play Percentage20.31%
81.36%Penalty Kill Percentage87.76%
Kings
14-7-0, 28pts
5
FINAL
4 Ducks
4-7-0, 8pts
Team Stats
L1StreakL3
7-4-0Home Record1-4-0
7-3-0Home Record3-3-0
4-6-0Last 10 Games4-4-2
3.29Goals Per Game3.18
2.81Goals Against Per Game3.55
14.06%Power Play Percentage20.31%
81.36%Penalty Kill Percentage87.76%
Team Leaders
Goals
Travis Boyd
7
Assists
Anthony DeAngelo
10
Points
Anthony DeAngelo
12
Plus/Minus
Mason McTavish
3
Wins
Collin Delia
4
Save Percentage
Collin Delia
0.883

Team Stats
Goals For
35
3.18 GFG
Shots For
350
31.82 Avg
Power Play Percentage
20.3%
13 GF
Offensive Zone Start
41.0%
Goals Against
39
3.55 GAA
Shots Against
332
30.18 Avg
Penalty Kill Percentage
87.8%%
6 GA
Defensive Zone Start
37.4%
Team Info

General ManagerSébastien Charbonneau
CoachGreg Cronin
DivisionPacifique
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets1,800


Roster Info

Pro Team39
Farm Team19
Contract Limit58 / 60
Prospects39


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")
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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 SPAgeContractSalary
1Travis Boyd (R)X100.0069508079768786816877757125797663697203031,500,000$
2Mason McTavish (R)X100.007350727688867885677976672580594867722213894,167$
3Peyton Krebs (R)X100.007761698280848076707669712576615254700232863,333$
4Carl Grundstrom (R)X100.008445877680818376406772692576715856690262700,000$
5Hudson Fasching (R)X100.0071408673828383754075716625748168536902821,000,000$
6Emil Bemstrom (R)X100.006640927681828174507467662573665440680253800,000$
7A.J. Greer (R)X100.008283567385788572406664692571796729670273800,000$
8Liam O'Brien (R)X100.008784567283838769506763702569847238670291750,000$
9Alexander True (R)X100.008588696877676869817468636076774559660263700,000$
10Daniel Carr (R)X100.005525996673657766656664676590824618640322575,000$
11Justin Bailey (R)X100.008183686678685364467369686378746316640282575,000$
12Buddy Robinson (R)X100.006546616582707064426967672587775317640322600,000$
13Marcus Pettersson (R)X100.0075616579758984784086738225747663567502811,250,000$
14Anthony DeAngelo (R)X100.0069616585739087864079767325847966377502833,000,000$
15Mario Ferraro (R)X100.0078458281848883754067678725756660597502533,000,000$
16Niko Mikkola (R)X100.0076616974848783724074708825706653527402832,000,000$
17Simon Benoit (R)X100.007861687584878075406765782573615142710252750,000$
18Jake Bean (R)X100.006040757381847068407773702569715918680262700,000$
Scratches
1Geoff PlattX100.0096675065692752967094924951939321547103821,000,000$
2Kirill Marchenko (R)X100.007045878086867380556479662581554949702233925,000$
3Yegor Chinakhov (R)X100.006540817586846870406863642571594936652233925,000$
4Nikita Soshnikov (R)X100.005540757275807365406360742566807021640301575,000$
5Tyler Graovac (R)X100.005126996679747760795964706882743518630313575,000$
6Kalle Kossila (R)X100.005441756870579468646761675079652921630313575,000$
7Joakim NordstromX100.006230996774708147774951847096923820620322700,000$
8Dwight KingX100.007060995583608050564749836999992421610342575,000$
9Antti Suomela (R)X100.006218997271667958745754636580743120610301575,000$
10Scott Sabourin (R)X100.007267996477636948576660564281733220600312575,000$
11Zach Senyshyn (R)X100.006561996276555747406457606273706321570272575,000$
12Glenn Gawdin (R)X100.005345656464656664586059502562545020572273762,500$
13Shane Bowers (R)X100.006040736664626361425854552560515021561243750,000$
14Pavol Regenda (R)X100.006441606071626262425757532560515020562243855,000$
15Lucas Carlsson (R)X100.006640667263646569407468802573755819670263700,000$
16Samuel Bolduc (R)X100.006440696773626266406360672564505019612233842,500$
17Vincent Iorio (R)X100.006840747065555663406252692562505020602213845,000$
18Simon Edvinsson (R)X100.006441636967555562406255672562505021592213925,000$
19Ronnie Attard (R)X100.00664566168636467406261692566525020532253883,750$
TEAM AVERAGE100.00695076697672736851686569367570513465
Filter Tips
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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 SPAgeContractSalary
1Collin Delia (R)100.008376947985999898998251918328678703012,000,000$
2Daniil Tarasov (R)100.008074738576807877817630755851687602521,050,000$
Scratches
TEAM AVERAGE100.0082758482819088889079418371406882
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Cronin6874666565601USA5932,000,000$


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
1Anthony DeAngeloDucks (ANA)D1121012-529151826261077.69%1626824.41145954000135100%037100.8900111000
2Mason McTavishDucks (ANA)C1156113115283139111912.82%1023921.772248450001371058.68%24284000.9200100200
3Travis BoydDucks (ANA)C11729-3155334039142317.95%724422.2750510470001360048.60%32156000.7300100020
4Andrei KuzmenkoDucksLW43582006152081815.00%59824.601239250000140032.35%3482001.6300000011
5Geoff PlattDucks (ANA)LW92571362020143211146.25%115817.650337330000111058.33%1282000.8800112000
6Marcus PetterssonDucks (ANA)D10066-2160262489110%1323423.47011147000034000%026000.5100000000
7Kirill MarchenkoDucks (ANA)RW933605515171561120.00%218020.01235348000180160.00%1031000.6700001010
8Carl GrundstromDucks (ANA)LW11235-623525161862411.11%318016.430221240001120150.00%1072000.5500001000
9Peyton KrebsDucks (ANA)C11145-739251222285123.57%614513.1801128000140045.92%9853000.6900023000
10Jake BeanDucks (ANA)D11134311551713237.69%1019617.8700007000016000%013000.4100001001
11Hudson FaschingDucks (ANA)RW11224-1001319199910.53%319317.60112140000010031.58%1963000.4100000000
12Niko MikkolaDucks (ANA)D11033-395182010340%1323421.34011131000026000%037000.2600100001
13Emil BemstromDucks (ANA)RW11213-455581882411.11%413412.2100005000010057.14%720000.4500010000
14Simon BenoitDucks (ANA)D10123-62220111197211.11%915815.8500041400007000%033000.3800112000
15Mario FerraroDucks (ANA)D8112-575161677314.29%1117922.43101332000026000%026000.2200100000
16Justin Bailey Ducks (ANA)LW210110001101100.00%0168.12000000000400100.00%200001.2300000000
17A.J. GreerDucks (ANA)LW7011-3559610360%0639.050000100001000%012000.3200010000
18Alexander TrueDucks (ANA)C11011-524201375630%0877.9200000000050058.33%3604000.2300121000
19Liam O'BrienDucks (ANA)LW11101-516102081041110.00%112811.64000030000140033.33%1211000.1600002000
20Yegor ChinakhovDucks (ANA)RW10101-6000515266.67%1676.77000000000010100.00%210000.3000000001
21Daniel CarrDucks (ANA)RW1000100020000%055.880000000000000%00000000000000
22Lucas CarlssonDucks (ANA)D4000000484220%47218.230000100007000%00400000000000
23Buddy RobinsonDucks (ANA)RW2000-300021200%0168.020000000000000%00000000000000
24Samuel BolducDucks (ANA)D1000-200223100%01515.700000000002000%00100000000000
Team Total or Average198355893-5527315529933735013621310.00%119332116.771320335947700063104251.06%8056967100.56008914244
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
1Collin DeliaDucks (ANA)114520.8833.4468000393321462000110100
Team Total or Average114520.8833.446800039332146200110100


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
A.J. GreerDucks (ANA)LW271996-12-14 05:26:22Yes208 Lbs6 ft3NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Alexander TrueDucks (ANA)C261997-07-17 04:07:46Yes201 Lbs6 ft5NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Anthony DeAngeloDucks (ANA)D281995-10-24 05:28:36Yes180 Lbs5 ft11NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Antti SuomelaDucks (ANA)C301994-03-17 04:05:06Yes179 Lbs6 ft0NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Buddy RobinsonDucks (ANA)RW321991-09-30 14:12:29Yes231 Lbs6 ft6NoNoN/ANoNo2Pro & Farm600,000$0$0$No600,000$--------No--------
Carl GrundstromDucks (ANA)LW261997-12-01 04:49:55Yes195 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Collin DeliaDucks (ANA)G301994-06-20 07:49:44Yes208 Lbs6 ft2NoNoN/ANoNo1Pro & Farm2,000,000$0$0$No------------------
Daniel CarrDucks (ANA)RW321991-10-31 07:15:35Yes194 Lbs6 ft0NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Daniil TarasovDucks (ANA)G251999-03-27 13:49:56Yes196 Lbs6 ft5NoNoN/ANoNo2Pro & Farm1,050,000$0$0$No1,050,000$--------No--------
Dwight KingDucks (ANA)RW341989-07-05 05:11:13No242 Lbs6 ft3NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Emil BemstromDucks (ANA)RW251999-06-01 03:32:38Yes195 Lbs6 ft0NoNoN/ANoNo3Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------
Geoff PlattDucks (ANA)LW381985-07-10 11:11:13No188 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Glenn GawdinDucks (ANA)C271997-03-25 12:24:12Yes192 Lbs6 ft1NoNoN/ANoNo3Pro & Farm762,500$0$0$No762,500$762,500$-------NoNo-------
Hudson FaschingDucks (ANA)RW281995-07-28 10:55:45Yes204 Lbs6 ft3NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------
Jake BeanDucks (ANA)D261998-06-09 09:01:27Yes196 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Joakim NordstromDucks (ANA)RW321992-02-25 05:11:13No194 Lbs6 ft1NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------
Justin Bailey Ducks (ANA)LW281995-07-01 17:55:47Yes214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Kalle KossilaDucks (ANA)LW311993-04-14 05:57:50Yes185 Lbs5 ft10NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Kirill MarchenkoDucks (ANA)RW232000-07-21 08:20:24Yes197 Lbs6 ft3NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Liam O'BrienDucks (ANA)LW291994-07-29 14:15:17Yes213 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------
Lucas CarlssonDucks (ANA)D261997-07-05 03:25:45Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Marcus PetterssonDucks (ANA)D281996-05-08 06:03:21Yes177 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------
Mario FerraroDucks (ANA)D251998-09-17 03:20:21Yes209 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,000,000$0$0$No3,000,000$3,000,000$-------NoNo-------
Mason McTavishDucks (ANA)C212003-01-30 08:23:08Yes213 Lbs6 ft0NoNoN/ANoNo3Pro & Farm894,167$0$0$No894,167$894,167$-------NoNo-------
Nikita SoshnikovDucks (ANA)LW301993-10-14 07:27:33Yes190 Lbs5 ft11NoNoN/ANoNo1Pro & Farm575,000$0$0$No------------------
Niko MikkolaDucks (ANA)D281996-04-27 03:14:07Yes209 Lbs6 ft4NoNoN/ANoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------
Pavol RegendaDucks (ANA)LW241999-12-07 03:18:35Yes212 Lbs6 ft4NoNoN/ANoNo3Pro & Farm855,000$0$0$No855,000$855,000$-------NoNo-------
Peyton KrebsDucks (ANA)C232001-01-26 13:53:15Yes187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm863,333$0$0$No863,333$--------No--------
Ronnie AttardDucks (ANA)D251999-03-20 08:25:33Yes207 Lbs6 ft3NoNoN/ANoNo3Pro & Farm883,750$0$0$No883,750$883,750$-------NoNo-------
Samuel BolducDucks (ANA)D232000-12-09 08:29:15Yes220 Lbs6 ft4NoNoN/ANoNo3Pro & Farm842,500$0$0$No842,500$842,500$-------NoNo-------
Scott SabourinDucks (ANA)RW311992-07-30 10:26:50Yes207 Lbs6 ft3NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Shane BowersDucks (ANA)C241999-07-30 08:31:07Yes185 Lbs6 ft2NoNoN/ANoNo3Pro & Farm750,000$0$0$No750,000$750,000$-------NoNo-------
Simon BenoitDucks (ANA)D251998-09-19 10:43:23Yes203 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$0$0$No750,000$--------No--------
Simon EdvinssonDucks (ANA)D212003-02-05 08:32:43Yes198 Lbs6 ft4NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Travis BoydDucks (ANA)C301993-09-14 07:33:39Yes190 Lbs6 ft0NoNoN/ANoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------
Tyler Graovac Ducks (ANA)C311993-04-26 20:00:54Yes207 Lbs6 ft5NoNoN/ANoNo3Pro & Farm575,000$0$0$No575,000$575,000$-------NoNo-------
Vincent IorioDucks (ANA)D212002-11-14 08:34:41Yes192 Lbs6 ft2NoNoN/ANoNo3Pro & Farm845,000$0$0$No845,000$845,000$-------NoNo-------
Yegor ChinakhovDucks (ANA)RW232001-02-01 08:36:21Yes204 Lbs6 ft1NoNoN/ANoNo3Pro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Zach SenyshynDucks (ANA)RW271997-03-30 14:24:49Yes207 Lbs6 ft1NoNoN/ANoNo2Pro & Farm575,000$0$0$No575,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3927.26200 Lbs6 ft22.38965,288$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carl GrundstromTravis BoydHudson Fasching35122
2A.J. GreerMason McTavishEmil Bemstrom35122
3Liam O'BrienPeyton KrebsBuddy Robinson25122
4Justin Bailey Alexander TrueDaniel Carr5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anthony DeAngeloMario Ferraro35122
2Marcus PetterssonNiko Mikkola35122
3Simon BenoitJake Bean30122
4Anthony DeAngeloMario Ferraro0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Carl GrundstromTravis BoydHudson Fasching60122
2A.J. GreerMason McTavishEmil Bemstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydMason McTavish60122
2Peyton KrebsHudson Fasching40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Travis Boyd60122Anthony DeAngeloMario Ferraro60122
2Mason McTavish40122Marcus PetterssonNiko Mikkola40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Travis BoydMason McTavish60122
2Peyton KrebsHudson Fasching40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Anthony DeAngeloMario Ferraro60122
2Marcus PetterssonNiko Mikkola40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carl GrundstromTravis BoydHudson FaschingAnthony DeAngeloMario Ferraro
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Carl GrundstromTravis BoydHudson FaschingAnthony DeAngeloMario Ferraro
Extra Forwards
Normal PowerPlayPenalty Kill
Liam O'Brien, Alexander True, Justin Bailey Liam O'Brien, Alexander TrueJustin Bailey
Extra Defensemen
Normal PowerPlayPenalty Kill
Simon Benoit, Jake Bean, Marcus PetterssonSimon BenoitJake Bean, Marcus Pettersson
Penalty Shots
Travis Boyd, Mason McTavish, Peyton Krebs, Hudson Fasching, Carl Grundstrom
Goalie
#1 : Collin Delia, #2 : Daniil Tarasov
Custom OT Lines Forwards
Travis Boyd, Mason McTavish, Peyton Krebs, Hudson Fasching, Carl Grundstrom, Emil Bemstrom, Emil Bemstrom, A.J. Greer, Liam O'Brien, Alexander True, Justin Bailey
Custom OT Lines Defensemen
Anthony DeAngelo, Mario Ferraro, Marcus Pettersson, Niko Mikkola, Simon Benoit


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
1Kings404000001116-52020000068-22020000058-300.000112031008121411298412212321123407410921419.05%17194.12%017933054.24%14030146.51%9217452.87%24113624510319599
2Oilers7430000024231312000001114-343100000139480.5712438620081214122184122123212097919919043920.93%32584.38%017933054.24%14030146.51%9217452.87%24113624510319599
Total1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Since Last GM Reset1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Vs Conference1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599
_Vs Division1147000003539-4514000001722-5633000001817180.364355893008121413508412212321332119273299641320.31%49687.76%017933054.24%14030146.51%9217452.87%24113624510319599

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
118L335589335033211927329900
All Games
GPWLOTWOTL SOWSOLGFGA
114700003539
Home Games
GPWLOTWOTL SOWSOLGFGA
51400001722
Visitor Games
GPWLOTWOTL SOWSOLGFGA
63300001817
Last 10 Games
WLOTWOTL SOWSOL
440200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
641320.31%49687.76%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8412212321812141
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17933054.24%14030146.51%9217452.87%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
24113624510319599


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
28Ducks1Oilers2ALBoxScore
416Ducks5Oilers4AWBoxScore
624Oilers6Ducks7BWXBoxScore
832Oilers2Ducks1BLXBoxScore
1040Ducks3Oilers1AWBoxScore
1248Oilers6Ducks3BLBoxScore
1456Ducks4Oilers2AWBoxScore
1660Ducks2Kings3ALXR5BoxScore
1864Ducks3Kings5ALBoxScore
2068Kings3Ducks2BLR5BoxScore
2272Kings5Ducks4BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance10,0005,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
36 3000 - 100.00% 128,250$641,250$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,764,625$ 1,877,125$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




Ducks Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ducks Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Ducks Career Team Stats

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

Ducks Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ducks Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA