Albany Devils

GP: 27 | W: 14 | L: 11 | OTL: 2 | P: 30
GF: 82 | GA: 83 | PP%: 16.30% | PK%: 75.70%
DG: Yannick Ferland | Morale : 53 | Moyenne d'Équipe : N/A
Prochain matchs #422 vs Providence Bruins
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire Moyen
1Nick Merkley (R)XX100.00683577787481667871787767726870706000233900,000$
2Taylor Raddysh (R)X100.00733580738380837760757665746568706000223850,000$
3Michael Rasmussen (R)XXX100.00824077778279787772777769716860706000213925,000$
4Evan Barratt (R)X100.00814675777881837571747470716060706000213850,000$
5Nolan Foote (R)X100.00834567738580717660757567736060706000203900,000$
6Andrew FritschX100.005435847876757475617573617178837060002741,250,000$
7Lucas LessioX100.007744777777767475557575667083857060002751,200,000$
8Lukas SutterX100.008443717384757474777475737173767060002731,500,000$
9Zach HallX100.007737788473747480777777687574797050002731,900,000$
10Jackson Houck (R)X98.008742757887797979677877707269697060002511,500,000$
11Blake ColemanXXX100.007240787782787877747675727171727060002911,800,000$
12Ryan Kuffner (R)X100.00552594797679767563757669725959706000241950,000$
13Roope Hintz (R)XX100.00794079798582848267807868727068706300242950,000$
14Benjamin Finkelstein (R)X100.00734078777380777550746278626068703900233750,000$
15Dysin Mayo (R)X100.00804176777982837550746084607068706000241800,000$
16Travis Dermott (R)X100.008542758283808076507863836567687060002422,000,000$
17Brenden DillonX100.008146717278757471507459825683847060003011,000,000$
18Adam PolasekX100.007946747280787772507460826281817058002932,000,000$
19Thomas HickeyX100.006533908076787778507863816093907023003111,100,000$
20Gabriel Carlsson (R)X100.00854082758277777250746083576363706000231850,000$
Rayé
1Sam Kurker (R)X100.00804277738376757265727265626162702600261550,000$
2Alex BiegaX74.418843737481757475507657855776787050003211,000,000$
3Axel Andersson (R)X100.00673278767275747450765879605657702600201850,000$
MOYENNE D'ÉQUIPE98.7876407877807877766076707367707170540
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Spencer Knight (R)99.0086888687858585848485836060704400
2Jeremy Smith100.0082808283868787858386878487705200
Rayé
1Michael Leighton100.0082808086818183797982859999704100
MOYENNE D'ÉQUIPE99.678383838584848583828485818270460
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul MacLean99828580848070FRA6221,000,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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
1Travis DermottAlbany Devils (NJD)D276202610240775256173710.71%5267424.994153581000080000.00%000000.7700000221
2Dysin MayoAlbany Devils (NJD)D27414181014038214817318.33%3860922.581232578011190100.00%000000.5900000113
3Jackson HouckAlbany Devils (NJD)RW2799186100562365155013.85%454920.3422416800112991160.76%7900010.6614000202
4Roope HintzAlbany Devils (NJD)C/RW2451318512023526416417.81%547819.932469701013991047.15%75500000.7533000021
5Nick MerkleyAlbany Devils (NJD)C/RW277714-44072042194416.67%235213.06112319000080047.37%1900000.7900000001
6Zach HallAlbany Devils (NJD)C27771446017407126589.86%747017.4122411710001603055.69%57100000.6003000120
7Blake ColemanAlbany Devils (NJD)C/LW/RW275813710018296618517.58%746917.3704416810001450058.70%4600000.5512000022
8Evan BarrattAlbany Devils (NJD)C2757120200482930171716.67%736113.4000000000000047.44%29300000.6611000110
9Lucas LessioAlbany Devils (NJD)LW276511-440192352132611.54%336113.380113130001221045.24%4200000.6100000121
10Michael RasmussenAlbany Devils (NJD)C/LW/RW272810012037285619463.57%143516.1202211760000221051.35%11100000.4601000001
11Gabriel CarlssonAlbany Devils (NJD)D276410-816033251941231.58%3744316.42101320000039100.00%000000.4500000021
12Alex BiegaAlbany Devils (NJD)D122683602410144314.29%2023819.912241229000037000.00%000000.6700000001
13Brenden DillonAlbany Devils (NJD)D273582220332418141916.67%3447317.54011334000045100.00%000000.3400000002
14Taylor RaddyshAlbany Devils (NJD)RW24437020221635153411.43%034114.25011657000000035.00%2000000.4100000110
15Lukas SutterAlbany Devils (NJD)C27077-520030424310360.00%729410.9000000000000052.91%36100000.4800000000
16Ryan KuffnerAlbany Devils (NJD)LW273473200214012307.50%028310.5100000000000042.86%1400000.4900000000
17Thomas HickeyAlbany Devils (NJD)D9066-22021221590.00%1220322.570111027000023000.00%000000.5900000000
18Adam PolasekAlbany Devils (NJD)D24055-12201628186240.00%3339816.60022742000040000.00%000000.2500000000
19Andrew FritschAlbany Devils (NJD)RW272244204143117246.45%230711.3900000000000042.86%2100000.2600000000
20Benjamin FinkelsteinAlbany Devils (NJD)D132025202833166.67%8957.350000000005000.00%000000.4200000001
21Nolan FooteAlbany Devils (NJD)LW27022-112013914470.00%21033.8400002000030056.06%6600000.3900000000
22Axel AnderssonAlbany Devils (NJD)D1000000111000.00%41414.620000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne512781422203422405205278072716009.67%285796015.55152641170789123972610151.00%239800010.5561400091517
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jeremy SmithAlbany Devils (NJD)147600.9142.8976820374310000.83361313100
2Spencer KnightAlbany Devils (NJD)96210.9043.0453340272810101.000894200
3Michael LeightonAlbany Devils (NJD)61310.9053.3733820192000000.0000510000
Stats d'équipe Total ou en Moyenne29141120.9093.04164080839120100.929142727300


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam PolasekAlbany Devils (NJD)D291990-01-22 14:04:21No207 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$1,393,617$2,000,000$1,393,617$0$0$No2,000,000$2,000,000$
Alex Biega (Sur la Masse Salariale)Albany Devils (NJD)D321987-01-22 13:26:10No194 Lbs5 ft10NoNoNo1Pro & Farm1,000,000$696,808$1,000,000$696,808$0$0$Yes
Andrew FritschAlbany Devils (NJD)RW271992-01-22 19:48:50No180 Lbs6 ft0NoNoNo4Pro & Farm1,250,000$871,010$1,250,000$871,010$0$0$No1,250,000$1,250,000$1,250,000$
Axel AnderssonAlbany Devils (NJD)D201999-01-22 09:46:54Yes179 Lbs6 ft0NoNoNo1Pro & Farm850,000$592,287$850,000$592,287$0$0$No
Benjamin FinkelsteinAlbany Devils (NJD)D231996-01-02 07:46:07Yes181 Lbs5 ft9NoNoNo3Pro & Farm750,000$522,606$750,000$522,606$0$0$No750,000$750,000$
Blake ColemanAlbany Devils (NJD)C/LW/RW291990-01-22 09:18:54No201 Lbs5 ft11NoNoNo1Pro & Farm1,800,000$1,254,255$1,800,000$1,254,255$0$0$No
Brenden DillonAlbany Devils (NJD)D301989-01-22 13:45:19No211 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$696,808$1,000,000$696,808$0$0$No
Dysin MayoAlbany Devils (NJD)D241995-01-01 08:59:20Yes194 Lbs6 ft2NoNoNo1Pro & Farm800,000$557,446$800,000$557,446$0$0$No
Evan BarrattAlbany Devils (NJD)C211998-01-02 02:39:46Yes190 Lbs6 ft0NoNoNo3Pro & Farm850,000$592,287$850,000$592,287$0$0$No850,000$850,000$
Gabriel CarlssonAlbany Devils (NJD)D231996-01-22 09:39:46Yes192 Lbs6 ft5NoNoNo1Pro & Farm850,000$592,287$850,000$592,287$0$0$No
Jackson HouckAlbany Devils (NJD)RW251994-01-22 03:31:34Yes194 Lbs6 ft1NoNoNo1Pro & Farm1,500,000$1,045,212$1,500,000$1,045,212$0$0$No
Jeremy SmithAlbany Devils (NJD)G311988-01-22 12:29:38No171 Lbs6 ft0NoNoNo3Pro & Farm1,300,000$905,851$1,300,000$905,851$0$0$No1,300,000$1,300,000$
Lucas LessioAlbany Devils (NJD)LW271992-01-22 19:56:37No200 Lbs6 ft1NoNoNo5Pro & Farm1,200,000$836,170$1,200,000$836,170$0$0$No1,200,000$1,200,000$1,200,000$1,200,000$
Lukas SutterAlbany Devils (NJD)C271992-01-22 17:09:00No214 Lbs6 ft1NoNoNo3Pro & Farm1,500,000$1,045,212$1,500,000$1,045,212$0$0$No1,500,000$1,500,000$
Michael LeightonAlbany Devils (NJD)G391980-01-22 12:29:38No186 Lbs6 ft3NoNoNo1Pro & Farm750,000$522,606$750,000$522,606$0$0$No
Michael RasmussenAlbany Devils (NJD)C/LW/RW211998-01-02 00:29:31Yes220 Lbs6 ft6NoNoNo3Pro & Farm925,000$644,547$925,000$644,547$0$0$No925,000$925,000$
Nick MerkleyAlbany Devils (NJD)C/RW231996-01-02 09:13:17Yes194 Lbs5 ft10NoNoNo3Pro & Farm900,000$627,127$900,000$627,127$0$0$No900,000$900,000$
Nolan FooteAlbany Devils (NJD)LW201999-01-02 02:48:03Yes201 Lbs6 ft4NoNoNo3Pro & Farm900,000$627,127$900,000$627,127$0$0$No900,000$900,000$
Roope HintzAlbany Devils (NJD)C/RW241995-01-22 10:42:47Yes205 Lbs6 ft1NoNoNo2Pro & Farm950,000$661,968$950,000$661,968$0$0$No950,000$
Ryan KuffnerAlbany Devils (NJD)LW241995-01-22 02:06:31Yes194 Lbs6 ft1NoNoNo1Pro & Farm950,000$661,968$950,000$661,968$0$0$No
Sam KurkerAlbany Devils (NJD)RW261993-01-22 03:49:16Yes203 Lbs6 ft2NoNoNo1Pro & Farm550,000$383,244$550,000$383,244$0$0$No
Spencer KnightAlbany Devils (NJD)G192000-01-02 00:13:39Yes192 Lbs6 ft3NoNoNo3Pro & Farm950,000$661,968$950,000$661,968$0$0$No950,000$950,000$
Taylor RaddyshAlbany Devils (NJD)RW221997-01-01 00:04:13Yes216 Lbs6 ft3NoNoNo3Pro & Farm850,000$592,287$850,000$592,287$0$0$No850,000$850,000$
Thomas HickeyAlbany Devils (NJD)D311988-01-22 10:53:54No182 Lbs5 ft10NoNoNo1Pro & Farm1,100,000$766,489$1,100,000$766,489$0$0$No
Travis DermottAlbany Devils (NJD)D241995-01-22 07:57:25Yes196 Lbs5 ft11NoNoNo2Pro & Farm2,000,000$1,393,617$2,000,000$1,393,617$0$0$No2,000,000$
Zach HallAlbany Devils (NJD)C271992-01-22 17:18:35No172 Lbs5 ft11NoNoNo3Pro & Farm1,900,000$1,323,936$1,900,000$1,323,936$0$0$No1,900,000$1,900,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2625.69195 Lbs6 ft12.191,129,808$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Blake ColemanRoope HintzJackson Houck35122
2Michael RasmussenZach HallTaylor Raddysh30122
3Lucas LessioLukas SutterNick Merkley20122
4Ryan KuffnerEvan BarrattAndrew Fritsch15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottThomas Hickey35122
2Dysin MayoBrenden Dillon30122
3Adam PolasekGabriel Carlsson20122
4Benjamin FinkelsteinTravis Dermott15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Blake ColemanRoope HintzJackson Houck60122
2Michael RasmussenZach HallTaylor Raddysh40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottThomas Hickey60122
2Dysin MayoBrenden Dillon40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Roope HintzZach Hall60122
2Jackson HouckBlake Coleman40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottThomas Hickey60122
2Dysin MayoBrenden Dillon40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Roope Hintz60122Travis DermottThomas Hickey60122
2Zach Hall40122Dysin MayoBrenden Dillon40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Roope HintzZach Hall60122
2Jackson HouckBlake Coleman40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottThomas Hickey60122
2Dysin MayoBrenden Dillon40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake ColemanRoope HintzJackson HouckTravis DermottThomas Hickey
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Blake ColemanRoope HintzJackson HouckTravis DermottThomas Hickey
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nolan Foote, Lukas Sutter, Lucas LessioNolan Foote, Lukas SutterLucas Lessio
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Polasek, Gabriel Carlsson, Benjamin FinkelsteinAdam PolasekGabriel Carlsson, Benjamin Finkelstein
Tirs de Pénalité
Roope Hintz, Zach Hall, Jackson Houck, Blake Coleman, Michael Rasmussen
Gardien
#1 : Spencer Knight, #2 : Jeremy Smith
Lignes d'Attaque Perso. en Prol.
Roope Hintz, Zach Hall, Jackson Houck, Blake Coleman, Michael Rasmussen, Lukas Sutter, Lukas Sutter, Lucas Lessio, Evan Barratt, Taylor Raddysh, Nick Merkley
Lignes de Défense Perso. en Prol.
Travis Dermott, Thomas Hickey, Dysin Mayo, Brenden Dillon, Adam Polasek


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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
1Adirondack Phantoms52100020161061100000042241100020128480.800162440002823276124272286237261415044821715.88%21385.71%048193451.50%537103152.09%20540350.87%636440666203340166
2Binghamton Senators1010000002-21010000002-20000000000000.0000000028232762527228623726268822300.00%4175.00%048193451.50%537103152.09%20540350.87%636440666203340166
3Bridgeport Sound Tigers21000100862110000005231000010034-130.75081523002823276692722862372674191837500.00%9277.78%048193451.50%537103152.09%20540350.87%636440666203340166
4Chicoutimi Saguenéens30200100816-80000000000030200100816-810.16781422002823276872722862372612828325710110.00%14471.43%148193451.50%537103152.09%20540350.87%636440666203340166
5Connecticut Whale31200000101001010000015-42110000095420.333101929002823276105272286237261253030518225.00%13469.23%048193451.50%537103152.09%20540350.87%636440666203340166
6Houston Aeros11000000743110000007430000000000021.0007132000282327632272286237263854265120.00%20100.00%048193451.50%537103152.09%20540350.87%636440666203340166
7Las Vegas Gamblers11000000211000000000001100000021121.00024600282327635272286237262914216300.00%10100.00%048193451.50%537103152.09%20540350.87%636440666203340166
8Manitoba Moose11000000321110000003210000000000021.000369002823276372722862372628128163133.33%4175.00%048193451.50%537103152.09%20540350.87%636440666203340166
9Norfolk Admirals211000006421010000023-11100000041320.500691500282327663272286237265024103712325.00%5180.00%048193451.50%537103152.09%20540350.87%636440666203340166
10Roberval Dwarfs1010000023-1000000000001010000023-100.00024600282327630272286237263191420100.00%60100.00%048193451.50%537103152.09%20540350.87%636440666203340166
11Rochester Americans1010000028-61010000028-60000000000000.000246002823276232722862372643146293133.33%3166.67%048193451.50%537103152.09%20540350.87%636440666203340166
12San Antonio Rampage31100010910-1100000105412110000046-240.667915240028232769027228623726903630627114.29%14564.29%048193451.50%537103152.09%20540350.87%636440666203340166
Total271011002408283-11255000203839-115560022044440300.5568214222400282327680727228623726912285232520921516.30%1072675.70%148193451.50%537103152.09%20540350.87%636440666203340166
13Trois-Rivières Draveurs31100010972311000109720000000000040.66791524002823276872722862372610936266515426.67%11463.64%048193451.50%537103152.09%20540350.87%636440666203340166
_Since Last GM Reset271011002408283-11255000203839-115560022044440300.5568214222400282327680727228623726912285232520921516.30%1072675.70%148193451.50%537103152.09%20540350.87%636440666203340166
_Vs Conference25811002407378-51145000203135-41446002204243-1260.5207312519800282327674027228623726845266226478841416.67%1042675.00%148193451.50%537103152.09%20540350.87%636440666203340166
_Vs Division104300120342683210000010917220012024177130.65034589200282327629827228623726340999217030310.00%43979.07%048193451.50%537103152.09%20540350.87%636440666203340166

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2730W28214222480791228523252000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
27101102408283
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
125500203839
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
155602204444
Derniers 10 Matchs
WLOTWOTL SOWSOL
450100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
921516.30%1072675.70%1
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
272286237262823276
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
48193451.50%537103152.09%20540350.87%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
636440666203340166


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-10-283Trois-Rivières Draveurs1Albany Devils3WSommaire du Match
3 - 2020-10-3017Albany Devils2Adirondack Phantoms1WXXSommaire du Match
4 - 2020-10-3125Albany Devils1Chicoutimi Saguenéens6LSommaire du Match
7 - 2020-11-0353Binghamton Senators2Albany Devils0LSommaire du Match
8 - 2020-11-0458Albany Devils4Adirondack Phantoms3WXXSommaire du Match
10 - 2020-11-0678Albany Devils4Adirondack Phantoms1WSommaire du Match
12 - 2020-11-0896Albany Devils0San Antonio Rampage4LSommaire du Match
14 - 2020-11-10103Trois-Rivières Draveurs3Albany Devils4WXXSommaire du Match
17 - 2020-11-13126Adirondack Phantoms2Albany Devils4WSommaire du Match
21 - 2020-11-17154Albany Devils4Norfolk Admirals1WSommaire du Match
22 - 2020-11-18164Bridgeport Sound Tigers2Albany Devils5WSommaire du Match
25 - 2020-11-21186Albany Devils7Connecticut Whale2WSommaire du Match
26 - 2020-11-22196Connecticut Whale5Albany Devils1LSommaire du Match
29 - 2020-11-25211Albany Devils2Adirondack Phantoms3LSommaire du Match
31 - 2020-11-27224Trois-Rivières Draveurs3Albany Devils2LSommaire du Match
34 - 2020-11-30250Manitoba Moose2Albany Devils3WSommaire du Match
35 - 2020-12-01259Albany Devils3Bridgeport Sound Tigers4LXSommaire du Match
38 - 2020-12-04278Albany Devils2Connecticut Whale3LSommaire du Match
40 - 2020-12-06290Norfolk Admirals3Albany Devils2LSommaire du Match
42 - 2020-12-08313Rochester Americans8Albany Devils2LSommaire du Match
44 - 2020-12-10325Albany Devils3Chicoutimi Saguenéens5LSommaire du Match
46 - 2020-12-12338Albany Devils2Las Vegas Gamblers1WSommaire du Match
48 - 2020-12-14351Albany Devils4Chicoutimi Saguenéens5LXSommaire du Match
50 - 2020-12-16361San Antonio Rampage4Albany Devils5WXXSommaire du Match
52 - 2020-12-18376Albany Devils2Roberval Dwarfs3LSommaire du Match
54 - 2020-12-20389Albany Devils4San Antonio Rampage2WSommaire du Match
55 - 2020-12-21398Houston Aeros4Albany Devils7WSommaire du Match
58 - 2020-12-24422Providence Bruins-Albany Devils-
60 - 2020-12-26441Albany Devils-Rochester Americans-
62 - 2020-12-28455Albany Devils-Lake Erie Monsters-
64 - 2020-12-30461Charlotte Checkers-Albany Devils-
66 - 2021-01-01474Albany Devils-Joliette Sportif-
68 - 2021-01-03494Chicoutimi Saguenéens-Albany Devils-
71 - 2021-01-06515Albany Devils-Grand Rapids Griffins-
72 - 2021-01-07527Gatineau Olympiques-Albany Devils-
76 - 2021-01-11551Albany Devils-The Nuuk Vikings-
77 - 2021-01-12559Springfield Falcons-Albany Devils-
80 - 2021-01-15584Albany Devils-Bridgeport Sound Tigers-
81 - 2021-01-16594Mercer Island Hafgufa-Albany Devils-
86 - 2021-01-21620Albany Devils-Charlotte Checkers-
87 - 2021-01-22627Wilkes-Barre/Scranton Penguins-Albany Devils-
90 - 2021-01-25653Mercer Island Hafgufa-Albany Devils-
93 - 2021-01-28679Albany Devils-Adirondack Phantoms-
94 - 2021-01-29688Bridgeport Sound Tigers-Albany Devils-
98 - 2021-02-02714Charlotte Checkers-Albany Devils-
100 - 2021-02-04729Albany Devils-Henderson Silver Knights-
101 - 2021-02-05744Bridgeport Sound Tigers-Albany Devils-
103 - 2021-02-07759Albany Devils-Manitoba Moose-
105 - 2021-02-09771Albany Devils-Rochester Americans-
108 - 2021-02-12786Peoria Rivermen-Albany Devils-
111 - 2021-02-15813Adirondack Phantoms-Albany Devils-
113 - 2021-02-17826Albany Devils-Oklahoma City Barons-
115 - 2021-02-19844Rouyn-Noranda Huskies-Albany Devils-
117 - 2021-02-21852Albany Devils-Wilkes-Barre/Scranton Penguins-
119 - 2021-02-23868Albany Devils-CCCP Red Army-
121 - 2021-02-25881Albany Devils-Wilkes-Barre/Scranton Penguins-
122 - 2021-02-26890Rockford IceHogs-Albany Devils-
124 - 2021-02-28909Albany Devils-Milwaukee Admirals-
126 - 2021-03-02920Laval Chiefs-Albany Devils-
129 - 2021-03-05950Connecticut Whale-Albany Devils-
131 - 2021-03-07965Albany Devils-CCCP Red Army-
133 - 2021-03-09976Albany Devils-Rouyn-Noranda Huskies-
135 - 2021-03-11989Binghamton Senators-Albany Devils-
139 - 2021-03-151016Manitoba Moose-Albany Devils-
143 - 2021-03-191045Albany Devils-Norfolk Admirals-
144 - 2021-03-201053Trois-Rivières Draveurs-Albany Devils-
147 - 2021-03-231073Albany Devils-Binghamton Senators-
148 - 2021-03-241083Wilkes-Barre/Scranton Penguins-Albany Devils-
150 - 2021-03-261099Albany Devils-Connecticut Whale-
153 - 2021-03-291116Adirondack Phantoms-Albany Devils-
155 - 2021-03-311133Albany Devils-Trois-Rivières Draveurs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
159 - 2021-04-041153Chicago Wolves-Albany Devils-
161 - 2021-04-061170Albany Devils-Trois-Rivières Draveurs-
162 - 2021-04-071181Albany Devils-Providence Bruins-
164 - 2021-04-091188CCCP Red Army-Albany Devils-
167 - 2021-04-121216Albany Devils-Providence Bruins-
168 - 2021-04-131220Connecticut Whale-Albany Devils-
173 - 2021-04-181252Roberval Dwarfs-Albany Devils-
179 - 2021-04-241282Roberval Dwarfs-Albany Devils-
185 - 2021-04-301307CCCP Red Army-Albany Devils-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance24,00012,000
Assistance PCT100.00%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
28 3000 - 100.00% 85,000$1,020,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,154,534$ 2,837,500$ 2,837,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,093$ 850,952$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,380,000$ 131 20,412$ 2,673,972$




LigueDomicileVisiteur
Année 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