Albany Devils

GP: 82 | W: 59 | L: 16 | OTL: 7 | P: 125
GF: 298 | GA: 137 | PP%: 13.40% | PK%: 88.28%
DG: Thomas Perron-Bibeau | Morale : 95 | Moyenne d'Équipe : N/A
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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 SP
1Nick Schmaltz (R)XXX100.0051508784657469725383656550656418800
2Christian Fischer (R)X100.0068778177778479725062686761676118700
3Mark Jankowski (R)X100.0081717768716869678062686665505019000
4Chris TerryXX100.0060506672695568645062666350606019000
5Remi ElieX100.0067506372756767585076576350505019000
6Joseph CramarossaX100.0095507577705565525060586650505019000
7Josh Leivo (A)XX100.0052508771656361755068666450505019000
8Wade MeganX100.0069716068717386678062686465505017300
9Nate Thompson (C)XXX100.0095508472825661528553566750737619000
10Tye McGinnXX100.0081767771766262665059686865555518800
11Hunter ShinkarukXX100.0068656585657466745059626359505019000
12Luke GazdicXX100.0088507462865161555050557050606016400
13Brandon GormleyX100.0058736274736568502550506250505019000
14Michael PaliottaX100.0064776766776568502550506350505019000
15Troy Stecher (R)X100.0073508983808679782573638350727016200
16Rasmus Andersson (R)X100.0062776979777276522559506350505018800
17Roland McKeown (R)X100.0061726867726870502550506250505019000
18Travis Dermott (R)X100.0055705962706568522557596050505013500
Rayé
1Boyd GordonX100.0051508972735261518250586750778017500
2Kyle BaunXX100.0084767068767664585054586555505012200
3Nick Sorensen (R)X100.0064687771685962575052586155505011900
4Gabriel Gagne (R)XX100.0058736762735660506050506250505012000
5Yan-Pavel Laplante (R)X100.0062656862655560505950505850505012000
6T.J. TynanXX100.0058587062587668607560565953505012000
7Brent RegnerX100.0057676866676266522559506150505012000
8Keegan LoweX100.0056735965736971502550505950505012200
9Taylor DohertyX100.0058915362755353502550506050505012000
10Reece Willcox (R)X100.0059706864705865502550506050505012000
11Chad Billins (R)X100.0056656960656769502551506050505012000
MOYENNE D'ÉQUIPE100.006665717072656758475857645354541610
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
1Ville Husso (R)100.007271758071727171707131696717500
2Sam Brittain100.006368618666647170686931686619000
Rayé
MOYENNE D'ÉQUIPE100.00687068836968717169703169671830
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Johnston86717090756176CAN5915,275,000$


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'ÉquipePOS GP 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
1Hunter ShinkarukAlbany Devils (New)C/LW823445795350076161227244114.98%8149218.201012226737301172288352.02%94000011.0606000874
2Josh LeivoAlbany Devils (New)LW/RW82393978576015135226102717.26%8146917.92147216637210151857352.97%20200001.06110001142
3Tye McGinnAlbany Devils (New)LW/RW81285078581062011194226223612.39%9133716.5171825603510002910257.58%9900011.1712112267
4Wade MeganAlbany Devils (New)C54224062405557211217482312.64%5101618.82614204021700051802065.29%99100111.2214100454
5Troy StecherAlbany Devils (New)D581445592368081891417269.93%80144824.981012221093041012310300.00%000000.8100000227
6Mark JankowskiAlbany Devils (New)C611836544152084125134113413.43%895715.7037102113201121375066.23%84100011.1311000527
7Lance BoumaNew Jersey DevilsLW/RW632330535212002201001760113.07%17130920.7935834260033103125161.75%48100010.8118000642
8Nate ThompsonAlbany Devils (New)C/LW/RW821434484111601598812382511.38%4115414.08358201670000464070.84%48700000.8300000231
9Chris TerryAlbany Devils (New)LW/RW8216254133160318715061810.67%7103512.63134148801121042164.52%9300000.7900000243
10Remi ElieAlbany Devils (New)LW771130413732040891119119.91%1191011.830331340002630063.74%9100000.9000000125
11Christian FischerAlbany Devils (New)LW35191736203005881121192615.70%682123.4725724161314142266153.14%35000000.8814000341
12Michael PaliottaAlbany Devils (New)D779243364127514031550816.36%56147219.132810272301011279300.00%000000.4500100100
13Brandon GormleyAlbany Devils (New)D825232860921014140665137.58%55177421.64279383570332390100.00%000000.3200000020
14Rasmus AnderssonAlbany Devils (New)D825202538120301554774586.76%53193623.62156473780001418000.00%000100.2600114020
15Roland McKeownAlbany Devils (New)D82318216410401533745786.67%54156019.03123182520000250010.00%000000.2700000001
16Nick SchmaltzAlbany Devils (New)C/LW/RW2611920910012847362315.07%762123.901671813400041503051.23%81200000.6412000313
17Joseph CramarossaAlbany Devils (New)LW8281119174005935521215.38%14915.990221260002461050.70%7100000.7700000120
18Travis DermottAlbany Devils (New)D363101328535471492233.33%2356415.67112122000085100.00%000000.4600000010
19Boyd GordonAlbany Devils (New)C6908882024652240.00%44506.530002170000250069.68%37600000.3600000000
20Luke GazdicAlbany Devils (New)LW/RW4844842803716341311.76%63817.9401105000001057.89%1900000.4200000010
21Kyle BaunAlbany Devils (New)C/LW2952731801627280317.86%22147.4100034000041048.72%15600000.6500000201
22Brent RegnerAlbany Devils (New)D2724610340409101020.00%1941515.38000310000058100.00%000000.2900000001
23Keegan LoweAlbany Devils (New)D3306619355591514000.00%2452215.83011117000060000.00%000000.2300001000
24Nick SorensenAlbany Devils (New)LW22022200235000.00%0723.280002200000220054.55%1100000.5500000000
Stats d'équipe Total ou en Moyenne145229353282578113148018101565232615434212.60%4672343316.1467124191617394461016613681541259.97%602000250.70728427535249
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
1Ville HussoAlbany Devils (New)66451470.9191.64398841310913410100.76025660665
2Sam BrittainAlbany Devils (New)1814200.9211.4698905243040001.00031666011
Stats d'équipe Total ou en Moyenne84591670.9191.60497841813316450100.786288266676


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Boyd GordonAlbany Devils (New)C331983-10-18No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Brandon GormleyAlbany Devils (New)D241992-02-17No196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Brent RegnerAlbany Devils (New)D271989-05-17No189 Lbs5 ft11NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Chad BillinsAlbany Devils (New)D271989-05-25Yes180 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Chris TerryAlbany Devils (New)LW/RW271989-04-07No195 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Christian FischerAlbany Devils (New)LW191997-04-15Yes212 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Gabriel GagneAlbany Devils (New)LW/RW201996-11-10Yes187 Lbs6 ft5NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Hunter ShinkarukAlbany Devils (New)C/LW221994-10-13No181 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$
Joseph CramarossaAlbany Devils (New)LW241992-10-26No190 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Josh LeivoAlbany Devils (New)LW/RW231993-05-26No173 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Keegan LoweAlbany Devils (New)D231993-03-29No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Kyle BaunAlbany Devils (New)C/LW241992-05-04No209 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Luke GazdicAlbany Devils (New)LW/RW271989-07-24No233 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Mark JankowskiAlbany Devils (New)C221994-09-13Yes185 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Michael PaliottaAlbany Devils (New)D231993-04-05No207 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Nate ThompsonAlbany Devils (New)C/LW/RW321984-10-05No210 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Nick SchmaltzAlbany Devils (New)C/LW/RW201996-02-23Yes177 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Nick SorensenAlbany Devils (New)LW221994-10-23Yes182 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Rasmus AnderssonAlbany Devils (New)D201996-10-26Yes214 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Reece WillcoxAlbany Devils (New)D221994-03-19Yes184 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Remi ElieAlbany Devils (New)LW211995-04-15No205 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Roland McKeownAlbany Devils (New)D201996-01-19Yes195 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Sam BrittainAlbany Devils (New)G241992-05-10No229 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
T.J. TynanAlbany Devils (New)C/LW241992-02-24No165 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Taylor DohertyAlbany Devils (New)D251991-03-02No236 Lbs6 ft8NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Travis DermottAlbany Devils (New)D201996-12-21Yes197 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Troy StecherAlbany Devils (New)D221994-04-07Yes190 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$No900,000$900,000$900,000$
Tye McGinnAlbany Devils (New)LW/RW261990-07-29No205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ville HussoAlbany Devils (New)G211995-02-05Yes205 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Wade MeganAlbany Devils (New)C261990-07-22No192 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Yan-Pavel LaplanteAlbany Devils (New)C211995-04-22Yes178 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3123.58197 Lbs6 ft12.81493,548$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Christian FischerNick SchmaltzJosh Leivo40122
2Hunter ShinkarukWade MeganTye McGinn30122
3Remi ElieMark JankowskiNate Thompson20122
4Chris TerryNick SchmaltzLuke Gazdic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherRasmus Andersson40122
2Brandon GormleyRoland McKeown30122
3Michael PaliottaTravis Dermott20122
4Troy StecherRasmus Andersson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Christian FischerNick SchmaltzJosh Leivo60122
2Hunter ShinkarukWade MeganTye McGinn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherRasmus Andersson60122
2Brandon GormleyRoland McKeown40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick SchmaltzChristian Fischer60122
2Josh LeivoWade Megan40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherRasmus Andersson60122
2Brandon GormleyRoland McKeown40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Schmaltz60122Troy StecherRasmus Andersson60122
2Christian Fischer40122Brandon GormleyRoland McKeown40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick SchmaltzChristian Fischer60122
2Josh LeivoWade Megan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Troy StecherRasmus Andersson60122
2Brandon GormleyRoland McKeown40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Christian FischerNick SchmaltzJosh LeivoTroy StecherRasmus Andersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Christian FischerNick SchmaltzJosh LeivoTroy StecherRasmus Andersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Joseph Cramarossa, Mark Jankowski, Remi ElieJoseph Cramarossa, Mark JankowskiRemi Elie
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Michael Paliotta, Travis Dermott, Brandon GormleyMichael PaliottaTravis Dermott, Brandon Gormley
Tirs de Pénalité
Nick Schmaltz, Christian Fischer, Josh Leivo, Wade Megan, Mark Jankowski
Gardien
#1 : Ville Husso, #2 : Sam Brittain


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
1Abbotsford Heat54000010277202200000013013320000101477101.000274774021158786121588197327644494276810729827.59%29196.55%01588257461.69%1352231358.45%688115959.36%232116861684561974518
2Adirondack Phantoms3120000046-22110000023-11010000023-120.3334610011158786126081973276444521251773226.25%20480.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
3Binghampton Senateurs330000001046220000007341100000031261.0001019290011587861272819732764445719576315426.67%25388.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
4Bridgeport Sound Tigers30101100710-31000010012-12010100068-230.500713200011587861260819732764446718476119315.79%22386.36%01588257461.69%1352231358.45%688115959.36%232116861684561974518
5Charlotte Checkers2200000011011110000005051100000060641.000112031021158786127881973276444371222431119.09%110100.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
6Chicago Wolves21000010422100000102111100000021141.000459001158786126281973276444337235917211.76%9188.89%01588257461.69%1352231358.45%688115959.36%232116861684561974518
7Connecticut Whale330000002512411000000707220000001811761.0002545700211587861214781973276444411229579222.22%130100.00%11588257461.69%1352231358.45%688115959.36%232116861684561974518
8Grand Rapids Griffins330000001569110000006062200000096361.000152944011158786129281973276444842458701500.00%27485.19%11588257461.69%1352231358.45%688115959.36%232116861684561974518
9Hamilton Bulldogs21000010633100000103211100000031241.0006814001158786126081973276444347272219210.53%10190.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
10Hershey Bears3110000157-2210000015501010000002-230.50058130011587861276819732764447616486815320.00%24675.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
11Houston Aeros330000001971222000000143111100000054161.0001934530011587861297819732764445116528816743.75%25580.00%21588257461.69%1352231358.45%688115959.36%232116861684561974518
12Lake Erie Monsters330000001147220000006241100000052361.00011203100115878612134819732764444713337214214.29%12191.67%01588257461.69%1352231358.45%688115959.36%232116861684561974518
13Manchester Monarchs330000002642222000000182161100000082661.000264773001158786121338197327644458163771600.00%140100.00%11588257461.69%1352231358.45%688115959.36%232116861684561974518
14Milwaukee Admirals2010000157-21010000012-11000000145-110.250510150011587861255819732764444922284418211.11%14378.57%01588257461.69%1352231358.45%688115959.36%232116861684561974518
15Norfolk Admirals32100000954110000007072110000025-340.66791726021158786129981973276444472442672229.09%19384.21%01588257461.69%1352231358.45%688115959.36%232116861684561974518
16Oklahoma City Barons431000001165110000002023210000096360.7501120310111587861294819732764446724649024312.50%31583.87%01588257461.69%1352231358.45%688115959.36%232116861684561974518
17Peoria Rivermen2020000027-51010000014-31010000013-200.00023500115878612438197327644467195460800.00%26676.92%01588257461.69%1352231358.45%688115959.36%232116861684561974518
18Portland Pirates320000101411322000000120121000001021161.0001423370211587861286819732764444413245824416.67%10190.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
19Providence Bruins31101000761110000003122010100045-140.667713200011587861273819732764446019426623313.04%20195.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
20Rochester Americans22000000817110000003121100000050541.00081523011158786123581973276444451136521715.88%17194.12%01588257461.69%1352231358.45%688115959.36%232116861684561974518
21Rockford IceHogs321000001156211000006421100000051440.6671119300011587861279819732764446518667117317.65%31487.10%01588257461.69%1352231358.45%688115959.36%232116861684561974518
22San Antonio Rampage211000005411010000012-11100000042220.50051015001158786124281973276444431440507114.29%20290.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
23Springfield Falcons3110000168-21010000013-22100000155030.500612180011587861272819732764448020666619315.79%28389.29%01588257461.69%1352231358.45%688115959.36%232116861684561974518
24St-John Ice Caps320000011275210000017431100000053250.833122234001158786126081973276444732373711616.25%23482.61%11588257461.69%1352231358.45%688115959.36%232116861684561974518
25Syracuse Crunch32001000826110000004042100100042261.00081321021158786126681973276444631642632214.55%21195.24%01588257461.69%1352231358.45%688115959.36%232116861684561974518
26Texas Stars31000110945200001104401100000050550.833916250111587861256819732764448012606320210.00%29196.55%01588257461.69%1352231358.45%688115959.36%232116861684561974518
27Toronto Marlies2200000014212110000006151100000081741.0001425390011587861211781973276444301420415240.00%80100.00%01588257461.69%1352231358.45%688115959.36%232116861684561974518
Total8249160535429813716141258003321495594412480502214982671250.7622985328300181158786122331819732764441645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518
29Wilkes-Barre Penguins3020100036-31010000013-22010100023-120.333369011158786126481973276444531257502015.00%26388.46%01588257461.69%1352231358.45%688115959.36%232116861684561974518
30Worchester Sharks3010110045-12010010013-21000100032130.500471100115878612618197327644448952462129.52%16193.75%01588257461.69%1352231358.45%688115959.36%232116861684561974518
_Since Last GM Reset8249160535429813716141258003321495594412480502214982671250.7622985328300181158786122331819732764441645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518
_Vs Conference4221100521314072682113400202762947218605011644321590.7021402513910101158786121129819732764448192296678842633111.79%2813388.26%31588257461.69%1352231358.45%688115959.36%232116861684561974518
_Vs Division20540110173284592200100331023113201001401822140.3507313220504115878612557819732764444161243224271231411.38%1481391.22%11588257461.69%1352231358.45%688115959.36%232116861684561974518

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82125L22985328302331164546913181816018
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8249165354298137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41258033214955
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
41248502214982
Derniers 10 Matchs
WLOTWOTL SOWSOL
621010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
5006713.40%5806888.28%6
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
81973276444115878612
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
1588257461.69%1352231358.45%688115959.36%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
232116861684561974518


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 - 2017-10-014Albany Devils3Oklahoma City Barons1WSommaire du Match
4 - 2017-10-0418Albany Devils3Syracuse Crunch2WXSommaire du Match
5 - 2017-10-0529Rockford IceHogs1Albany Devils4WSommaire du Match
8 - 2017-10-0846Albany Devils5Abbotsford Heat2WSommaire du Match
10 - 2017-10-1057St-John Ice Caps3Albany Devils2LXXSommaire du Match
12 - 2017-10-1273Albany Devils1Wilkes-Barre Penguins3LSommaire du Match
14 - 2017-10-1484Manchester Monarchs1Albany Devils6WSommaire du Match
16 - 2017-10-16106Texas Stars2Albany Devils3WXXSommaire du Match
18 - 2017-10-18119Albany Devils1Springfield Falcons2LXXSommaire du Match
19 - 2017-10-19134Albany Devils5Bridgeport Sound Tigers4WXSommaire du Match
21 - 2017-10-21146Houston Aeros2Albany Devils8WSommaire du Match
23 - 2017-10-23164Albany Devils9Connecticut Whale1WSommaire du Match
24 - 2017-10-24175Binghampton Senateurs1Albany Devils3WSommaire du Match
28 - 2017-10-28190Albany Devils4Grand Rapids Griffins2WSommaire du Match
29 - 2017-10-29204Albany Devils0Oklahoma City Barons1LSommaire du Match
30 - 2017-10-30209Lake Erie Monsters1Albany Devils4WSommaire du Match
33 - 2017-11-02234Adirondack Phantoms3Albany Devils1LSommaire du Match
36 - 2017-11-05257Albany Devils2Portland Pirates1WXXSommaire du Match
37 - 2017-11-06268Springfield Falcons3Albany Devils1LSommaire du Match
39 - 2017-11-08288Oklahoma City Barons0Albany Devils2WSommaire du Match
41 - 2017-11-10304Albany Devils3Hamilton Bulldogs1WSommaire du Match
43 - 2017-11-12318Rochester Americans1Albany Devils3WSommaire du Match
44 - 2017-11-13332Albany Devils5St-John Ice Caps3WSommaire du Match
45 - 2017-11-14347Texas Stars2Albany Devils1LXSommaire du Match
47 - 2017-11-16360Albany Devils4Milwaukee Admirals5LXXSommaire du Match
50 - 2017-11-19381Bridgeport Sound Tigers2Albany Devils1LXSommaire du Match
53 - 2017-11-22403Hershey Bears4Albany Devils3LXXSommaire du Match
54 - 2017-11-23417Albany Devils2Chicago Wolves1WSommaire du Match
57 - 2017-11-26430Albany Devils5Rochester Americans0WSommaire du Match
58 - 2017-11-27439Peoria Rivermen4Albany Devils1LSommaire du Match
60 - 2017-11-29455Albany Devils5Lake Erie Monsters2WSommaire du Match
61 - 2017-11-30470Houston Aeros1Albany Devils6WSommaire du Match
62 - 2017-12-01483Albany Devils8Manchester Monarchs2WSommaire du Match
64 - 2017-12-03496Albany Devils3Binghampton Senateurs1WSommaire du Match
65 - 2017-12-04506Toronto Marlies1Albany Devils6WSommaire du Match
69 - 2017-12-08527Lake Erie Monsters1Albany Devils2WSommaire du Match
71 - 2017-12-10543Albany Devils5Grand Rapids Griffins4WSommaire du Match
74 - 2017-12-13557Wilkes-Barre Penguins3Albany Devils1LSommaire du Match
76 - 2017-12-15581Rockford IceHogs3Albany Devils2LSommaire du Match
80 - 2017-12-19598Albany Devils5Houston Aeros4WSommaire du Match
81 - 2017-12-20612Grand Rapids Griffins0Albany Devils6WSommaire du Match
88 - 2017-12-27638Charlotte Checkers0Albany Devils5WSommaire du Match
90 - 2017-12-29661Albany Devils9Connecticut Whale0WSommaire du Match
91 - 2017-12-30668Chicago Wolves1Albany Devils2WXXSommaire du Match
93 - 2018-01-01685Albany Devils0Hershey Bears2LSommaire du Match
94 - 2018-01-02697Hamilton Bulldogs2Albany Devils3WXXSommaire du Match
96 - 2018-01-04712Albany Devils2Adirondack Phantoms3LSommaire du Match
100 - 2018-01-08728St-John Ice Caps1Albany Devils5WSommaire du Match
101 - 2018-01-09743Albany Devils8Toronto Marlies1WSommaire du Match
102 - 2018-01-10757Hershey Bears1Albany Devils2WSommaire du Match
105 - 2018-01-13783Manchester Monarchs1Albany Devils12WSommaire du Match
106 - 2018-01-14792Albany Devils6Oklahoma City Barons4WSommaire du Match
110 - 2018-01-18811Albany Devils1Peoria Rivermen3LSommaire du Match
111 - 2018-01-19818Milwaukee Admirals2Albany Devils1LSommaire du Match
112 - 2018-01-20834Albany Devils1Bridgeport Sound Tigers4LSommaire du Match
114 - 2018-01-22850San Antonio Rampage2Albany Devils1LSommaire du Match
116 - 2018-01-24868Albany Devils3Worchester Sharks2WXSommaire du Match
118 - 2018-01-26880Syracuse Crunch0Albany Devils4WSommaire du Match
120 - 2018-01-28903Abbotsford Heat0Albany Devils8WSommaire du Match
122 - 2018-01-30917Albany Devils1Syracuse Crunch0WSommaire du Match
123 - 2018-01-31928Albany Devils6Charlotte Checkers0WSommaire du Match
124 - 2018-02-01939Norfolk Admirals0Albany Devils7WSommaire du Match
128 - 2018-02-05961Albany Devils4San Antonio Rampage2WSommaire du Match
131 - 2018-02-08972Worchester Sharks2Albany Devils1LXSommaire du Match
133 - 2018-02-10994Adirondack Phantoms0Albany Devils1WSommaire du Match
137 - 2018-02-141010Albany Devils4Springfield Falcons3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161025Abbotsford Heat0Albany Devils5WSommaire du Match
141 - 2018-02-181036Albany Devils1Wilkes-Barre Penguins0WXSommaire du Match
142 - 2018-02-191053Worchester Sharks1Albany Devils0LSommaire du Match
146 - 2018-02-231082Providence Bruins1Albany Devils3WSommaire du Match
147 - 2018-02-241099Albany Devils5Rockford IceHogs1WSommaire du Match
149 - 2018-02-261105Albany Devils1Norfolk Admirals0WSommaire du Match
150 - 2018-02-271114Connecticut Whale0Albany Devils7WSommaire du Match
152 - 2018-03-011128Albany Devils5Texas Stars0WSommaire du Match
154 - 2018-03-031143Portland Pirates0Albany Devils7WSommaire du Match
156 - 2018-03-051160Albany Devils3Providence Bruins2WXSommaire du Match
157 - 2018-03-061167Albany Devils4Abbotsford Heat3WXXSommaire du Match
159 - 2018-03-081178Portland Pirates0Albany Devils5WSommaire du Match
161 - 2018-03-101189Albany Devils5Abbotsford Heat2WSommaire du Match
164 - 2018-03-131206Binghampton Senateurs2Albany Devils4WSommaire du Match
166 - 2018-03-151212Albany Devils1Providence Bruins3LSommaire du Match
167 - 2018-03-161225Albany Devils1Norfolk Admirals5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
5,420,093$ 153,000$ 79,440$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 145,096$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 32,118$ 0$




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
128249160535429813716141258003321495594412480502214982671252985328300181158786122331819732764441645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518
Total Saison Régulière8249160535429813716141258003321495594412480502214982671252985328300181158786122331819732764441645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518