Connecticut Whale

GP: 27 | W: 14 | L: 9 | OTL: 4 | P: 32
GF: 91 | GA: 82 | PP%: 16.33% | PK%: 76.62%
DG: Francis Bérubé | Morale : 48 | Moyenne d'Équipe : N/A
Prochain matchs #438 vs Rouyn-Noranda Huskies
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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
1Ty Dellandrea (R)X100.00734574767881817672757572716068703500203900,000$
2Christian Fischer (R)XX99.008438777889818480748077717271667055002311,000,000$
3Glenn Gawdin (R)X100.00804575767882837772767670716565705500233850,000$
4Jeremy Bracco (R)X100.00632590826883807863787365726565704500233900,000$
5Josh Norris (R)X100.00744078777782767671767668736567705500213925,000$
6Denis Malgin (R)XX99.006830909074838184758381707871717055002321,225,000$
7Erik HaulaX100.007232808072787678658077687684827028002912,000,000$
8Robert Thomas (R) (A)XX100.00683083857984778375827967726969704400212950,000$
9Denis Guryanov (R)XX100.007635848484838284628082677875727055002311,500,000$
10Henrik BorgstromX100.00723580798382827974787768706868705500231950,000$
11Ryan Donato (A)XX100.00623082807277738372788069736262705500241950,000$
12Trent FredericX100.00854075798379777972767869725758705500221900,000$
13William Lagesson (R)X100.00844874758580767550746283606867705500241850,000$
14Brandon Carlo (C)X99.009445727787818177507964875971717055002411,650,000$
15Gustav Forsling (R)X97.037330868379797982508270867072727043002431,750,000$
16Ethan Bear (R)X99.008045798480848778508068847175757055002312,000,000$
17Casey Fitzgerald (R)X100.00854570768280767250735980585364705500231850,000$
18Josh Mahura (R)X100.00753578798079747850786082606766705500222900,000$
Rayé
1Aidan Dudas (R)X100.00674078787082847573747274716073702500203900,000$
2Cam Hillis (R)X100.00603076756683757573747372716070702300203900,000$
3Jan Jenik (R)XX100.00764768787381697765757466746060704800203950,000$
4Damir Zhafyarov (R)X100.00521587826473717563747463746470702300261850,000$
5Ziyat Paigin (R)X100.00854078678573716850695679535860703000251880,000$
MOYENNE D'ÉQUIPE99.7074377979788078786477727370666870460
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
1Felix Sandström (R)100.0085828384868687888786856265705500
2Michael DiPietro (R)98.0086868684928888889086876663705000
Rayé
1Jon Gillies100.0084838295848687868585837472702500
2Matej Tomek (R)100.0082828285838382838382815454702300
MOYENNE D'ÉQUIPE99.508483838786868686868584646470380
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins85808580757570USA531600,000$


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
1Ethan BearConnecticut Whale (NYR)D27518231914035315616358.93%3859822.153583689000055110.00%000000.7700000312
2Denis MalginConnecticut Whale (NYR)C/RW276152160016437922657.59%451218.9823524890002712148.00%5000000.8211000031
3Robert ThomasConnecticut Whale (NYR)C/RW2581119-320143168145711.76%438415.381671878000002051.35%11100000.9900000020
4Brandon CarloConnecticut Whale (NYR)D276121810380672250233412.00%2757921.461452676000144100.00%000100.6200000300
5Denis GuryanovConnecticut Whale (NYR)LW/RW279918640432786176410.47%343916.272132789000002050.00%4200000.8201000211
6Gustav ForslingConnecticut Whale (NYR)D2331518104014354417446.82%3549421.501342776000148000.00%000000.7300000120
7Henrik BorgstromConnecticut Whale (NYR)C278715920424154142914.81%343316.052241786000061051.74%57400000.6900000111
8Josh MahuraConnecticut Whale (NYR)D272131572025274012285.00%2856020.751342577000027100.00%000000.5400000000
9Christian FischerConnecticut Whale (NYR)C/LW2795142120344061134414.75%343416.080000130002660250.31%16100000.6511000100
10Ryan DonatoConnecticut Whale (NYR)C/LW2768140006267418428.11%445116.7122412690001462257.58%3300000.6201000100
11William LagessonConnecticut Whale (NYR)D2721012-71403614259168.00%3950318.661011015000052000.00%000000.4800000011
12Joseph BlandisiNew York RangersC/LW2583115120311643102918.60%128011.2400000000001045.00%2000000.7800000103
13Trent FredericConnecticut Whale (NYR)C2774110100664057224912.28%642015.560111369000000051.01%54300100.5211000022
14Casey FitzgeraldConnecticut Whale (NYR)D272810-94003525176811.76%2543716.210001200019000.00%000000.4600000000
15Glenn GawdinConnecticut Whale (NYR)C2736968016314612256.52%233812.55000000002480053.82%35300000.5300000100
16Josh NorrisConnecticut Whale (NYR)C2709908024344011270.00%235713.2400000000000045.98%39800000.5001000000
17Jeremy BraccoConnecticut Whale (NYR)RW274374403132773414.81%232011.8800019000000042.31%2600000.4401000000
18Erik HaulaConnecticut Whale (NYR)LW12347-2205102032015.00%217614.7000000000021070.59%1700000.7901000011
19Ty DellandreaConnecticut Whale (NYR)C24235240971331015.38%31235.1500000000000049.09%5500000.8100000000
20Jan JenikConnecticut Whale (NYR)LW/RW17033300125184120.00%01629.5700000000020035.00%2000000.3700000000
21Ziyat PaiginConnecticut Whale (NYR)D6000-300424010.00%57111.900000100004000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5109316625965180053752092225367310.09%236808015.841630462378460001048814650.56%240300200.6438000141412
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
1Michael DiPietroConnecticut Whale (NYR)2513840.8952.98149242747050010.5008250101
2Jon GilliesConnecticut Whale (NYR)21100.8982.50120205490000.000021000
3Felix SandströmConnecticut Whale (NYR)10000.8003.751600150000.0000026000
Stats d'équipe Total ou en Moyenne2814940.8952.95162962807590010.50082727101


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
Aidan DudasConnecticut Whale (NYR)C201999-01-02 05:56:48Yes185 Lbs5 ft9NoNoNo3Pro & Farm900,000$622,340$900,000$622,340$0$0$No900,000$900,000$
Brandon CarloConnecticut Whale (NYR)D241995-01-22 04:43:10No203 Lbs6 ft5NoNoNo1Pro & Farm1,650,000$1,140,957$1,650,000$1,140,957$0$0$No
Cam HillisConnecticut Whale (NYR)C201999-01-02 07:04:28Yes168 Lbs5 ft11NoNoNo3Pro & Farm900,000$622,340$900,000$622,340$0$0$No900,000$900,000$
Casey FitzgeraldConnecticut Whale (NYR)D231996-01-22 05:13:25Yes185 Lbs5 ft11NoNoNo1Pro & Farm850,000$587,765$850,000$587,765$0$0$No
Christian FischerConnecticut Whale (NYR)C/LW231996-01-22 07:42:31Yes212 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$691,489$1,000,000$691,489$0$0$No
Damir ZhafyarovConnecticut Whale (NYR)LW261993-01-22 14:31:14Yes143 Lbs5 ft8NoNoNo1Pro & Farm850,000$587,765$850,000$587,765$0$0$No
Denis GuryanovConnecticut Whale (NYR)LW/RW231996-01-02 04:23:07Yes201 Lbs6 ft3NoNoNo1Pro & Farm1,500,000$1,037,234$1,500,000$1,037,234$0$0$No
Denis MalginConnecticut Whale (NYR)C/RW231996-01-22 05:01:38Yes176 Lbs5 ft9NoNoNo2Pro & Farm1,225,000$847,074$1,225,000$847,074$0$0$No1,225,000$
Erik HaulaConnecticut Whale (NYR)LW291990-01-22 04:00:11No190 Lbs5 ft11NoNoNo1Pro & Farm2,000,000$1,382,978$2,000,000$1,382,978$0$0$No
Ethan BearConnecticut Whale (NYR)D231996-01-02 05:13:26Yes196 Lbs5 ft11NoNoNo1Pro & Farm2,000,000$1,382,978$2,000,000$1,382,978$0$0$No
Felix SandströmConnecticut Whale (NYR)G231996-01-22 02:33:19Yes192 Lbs6 ft2NoNoNo3Pro & Farm1,175,000$812,500$1,175,000$812,500$0$0$No1,175,000$1,175,000$
Glenn GawdinConnecticut Whale (NYR)C231996-01-02 07:13:00Yes192 Lbs6 ft1NoNoNo3Pro & Farm850,000$587,765$850,000$587,765$0$0$No850,000$850,000$
Gustav ForslingConnecticut Whale (NYR)D241995-01-22 01:20:49Yes185 Lbs6 ft0NoNoNo3Pro & Farm1,750,000$1,210,106$1,750,000$1,210,106$0$0$No1,750,000$1,750,000$
Henrik BorgstromConnecticut Whale (NYR)C231996-01-02 05:10:15No198 Lbs6 ft3NoNoNo1Pro & Farm950,000$656,914$950,000$656,914$0$0$No
Jan JenikConnecticut Whale (NYR)LW/RW201999-01-02 07:19:45Yes181 Lbs6 ft1NoNoNo3Pro & Farm950,000$656,914$950,000$656,914$0$0$No950,000$950,000$
Jeremy BraccoConnecticut Whale (NYR)RW231996-01-02 07:57:42Yes181 Lbs5 ft9NoNoNo3Pro & Farm900,000$622,340$900,000$622,340$0$0$No900,000$900,000$
Jon GilliesConnecticut Whale (NYR)G261993-01-02 05:04:19No223 Lbs6 ft6NoNoNo1Pro & Farm850,000$587,765$850,000$587,765$0$0$No
Josh MahuraConnecticut Whale (NYR)D221997-01-22 14:36:29Yes192 Lbs6 ft0NoNoNo2Pro & Farm900,000$622,340$900,000$622,340$0$0$No900,000$
Josh NorrisConnecticut Whale (NYR)C211998-01-02 08:10:55Yes192 Lbs6 ft2NoNoNo3Pro & Farm925,000$639,627$925,000$639,627$0$0$No925,000$925,000$
Matej TomekConnecticut Whale (NYR)G231996-01-22 05:16:38Yes183 Lbs6 ft3NoNoNo1Pro & Farm800,000$553,191$800,000$553,191$0$0$No
Michael DiPietroConnecticut Whale (NYR)G211998-01-22 07:21:01Yes201 Lbs6 ft0NoNoNo2Pro & Farm950,000$656,914$950,000$656,914$0$0$No950,000$
Robert ThomasConnecticut Whale (NYR)C/RW211998-01-22 02:37:10Yes187 Lbs6 ft0NoNoNo2Pro & Farm950,000$656,914$950,000$656,914$0$0$No950,000$
Ryan DonatoConnecticut Whale (NYR)C/LW241995-01-22 04:37:31No181 Lbs6 ft0NoNoNo1Pro & Farm950,000$656,914$950,000$656,914$0$0$No
Trent FredericConnecticut Whale (NYR)C221997-01-22 04:45:11No203 Lbs6 ft2NoNoNo1Pro & Farm900,000$622,340$900,000$622,340$0$0$No
Ty DellandreaConnecticut Whale (NYR)C201999-01-01 10:32:35Yes190 Lbs6 ft1NoNoNo3Pro & Farm900,000$622,340$900,000$622,340$0$0$No900,000$900,000$
William LagessonConnecticut Whale (NYR)D241995-01-02 09:03:31Yes207 Lbs6 ft2NoNoNo1Pro & Farm850,000$587,765$850,000$587,765$0$0$No
Ziyat PaiginConnecticut Whale (NYR)D251994-01-22 04:44:26Yes209 Lbs6 ft6NoNoNo1Pro & Farm880,000$608,510$880,000$608,510$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2722.93191 Lbs6 ft11.811,085,370$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Ryan DonatoRobert ThomasDenis Malgin26005
2Christian FischerHenrik BorgstromDenis Guryanov26005
3Erik HaulaTrent FredericJosh Norris26005
4Glenn GawdinTy DellandreaJeremy Bracco22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon CarloJosh Mahura34122
2Gustav ForslingWilliam Lagesson33122
3Casey FitzgeraldEthan Bear33122
4Casey FitzgeraldEthan Bear0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Denis GuryanovRobert ThomasDenis Malgin55005
2Christian FischerHenrik BorgstromJeremy Bracco45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Gustav ForslingEthan Bear55005
2Brandon CarloJosh Mahura45005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Christian FischerDenis Malgin55140
2Glenn GawdinRyan Donato45140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brandon CarloGustav Forsling55140
2Ethan BearWilliam Lagesson45140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Christian Fischer55050Brandon CarloGustav Forsling55050
2Glenn Gawdin45050Ethan BearWilliam Lagesson45050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Trent FredericErik Haula60122
2Josh NorrisTy Dellandrea40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Casey FitzgeraldJosh Mahura60122
2William LagessonEthan Bear40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Denis GuryanovRobert ThomasDenis MalginGustav ForslingEthan Bear
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Christian FischerGlenn GawdinDenis MalginGustav ForslingBrandon Carlo
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ty Dellandrea, Jeremy Bracco, Henrik BorgstromTrent Frederic, Josh NorrisErik Haula
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ethan Bear, Brandon Carlo, Gustav ForslingWilliam LagessonJosh Mahura, Casey Fitzgerald
Tirs de Pénalité
Denis Malgin, Denis Guryanov, Erik Haula, Ryan Donato, Josh Norris
Gardien
#1 : Michael DiPietro, #2 : Felix Sandström
Lignes d'Attaque Perso. en Prol.
Robert Thomas, Denis Guryanov, Denis Malgin, Christian Fischer, Henrik Borgstrom, Ryan Donato, Ryan Donato, Trent Frederic, Josh Norris, Erik Haula, Ty Dellandrea
Lignes de Défense Perso. en Prol.
Gustav Forsling, Brandon Carlo, Ethan Bear, Josh Mahura, William Lagesson


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 Phantoms1010000015-41010000015-40000000000000.00012300362629324310274323112231012200.00%5260.00%0533103651.45%46588852.36%20442847.66%672473617194340169
2Albany Devils32100000101002110000059-41100000051440.6671020300036262931253102743231110523206913430.77%8275.00%0533103651.45%46588852.36%20442847.66%672473617194340169
3Binghamton Senators211000006511010000014-31100000051420.50061218003626293643102743231147198405120.00%3166.67%0533103651.45%46588852.36%20442847.66%672473617194340169
4Bridgeport Sound Tigers11000000413000000000001100000041321.0004610003626293363102743231126111227400.00%30100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
5CCCP Red Army42000101161331000010034-132000001139460.7501630460036262931353102743231111838188215213.33%70100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
6Charlotte Checkers21000100844210001008440000000000030.750815230136262937631027432311491316311200.00%70100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
7Chicago Wolves11000000312000000000001100000031221.0003690036262932831027432311196819300.00%3166.67%0533103651.45%46588852.36%20442847.66%672473617194340169
8Chicoutimi Saguenéens1010000013-2000000000001010000013-200.00012300362629325310274323113210423200.00%220.00%0533103651.45%46588852.36%20442847.66%672473617194340169
9Joliette Sportif11000000312110000003120000000000021.00036900362629316310274323112886204125.00%30100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
10Laval Chiefs1010000004-41010000004-40000000000000.000000003626293283102743231130101621100.00%6433.33%0533103651.45%46588852.36%20442847.66%672473617194340169
11Manitoba Moose2020000069-32020000069-30000000000000.000610161036262938231027432311572110351218.33%50100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
12Oklahoma City Barons1010000025-31010000025-30000000000000.000235003626293253102743231131412123133.33%6266.67%0533103651.45%46588852.36%20442847.66%672473617194340169
13Roberval Dwarfs21100000990000000000002110000099020.500916250036262937031027432311722212415240.00%6266.67%0533103651.45%46588852.36%20442847.66%672473617194340169
14San Antonio Rampage11000000514000000000001100000051421.00051015003626293363102743231120126183133.33%30100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
15The Nuuk Vikings11000000642000000000001100000064221.000691500362629335310274323113296223133.33%10100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
Total2714900301918291347002003145-141410200101603723320.5939116425512362629391031027432311760233184531981616.33%771876.62%0533103651.45%46588852.36%20442847.66%672473617194340169
16Trois-Rivières Draveurs11000000743000000000001100000074321.0007121900362629331310274323112778213133.33%4250.00%0533103651.45%46588852.36%20442847.66%672473617194340169
17Wilkes-Barre/Scranton Penguins21000100431110000002021000010023-130.7504590136262937431027432311451712388112.50%50100.00%0533103651.45%46588852.36%20442847.66%672473617194340169
_Since Last GM Reset2714900301918291347002003145-141410200101603723320.5939116425512362629391031027432311760233184531981616.33%771876.62%0533103651.45%46588852.36%20442847.66%672473617194340169
_Vs Conference22117003017767101035002002635-9128200101513219260.5917714021712362629377831027432311620196136437841315.48%581181.03%0533103651.45%46588852.36%20442847.66%672473617194340169
_Vs Division13420010043367722000001922-36200010024141090.3464378121023626293470310274323113651058825954712.96%35488.57%0533103651.45%46588852.36%20442847.66%672473617194340169

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2732L19116425591076023318453112
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2714903019182
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
134702003145
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1410201016037
Derniers 10 Matchs
WLOTWOTL SOWSOL
530200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
981616.33%771876.62%0
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
310274323113626293
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
533103651.45%46588852.36%20442847.66%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
672473617194340169


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
3 - 2020-10-3019Charlotte Checkers0Connecticut Whale5WSommaire du Match
5 - 2020-11-0134Adirondack Phantoms5Connecticut Whale1LSommaire du Match
7 - 2020-11-0349Connecticut Whale4Bridgeport Sound Tigers1WSommaire du Match
8 - 2020-11-0461Connecticut Whale5CCCP Red Army2WSommaire du Match
10 - 2020-11-0680Joliette Sportif1Connecticut Whale3WSommaire du Match
13 - 2020-11-09101Manitoba Moose4Connecticut Whale3LSommaire du Match
14 - 2020-11-10105Connecticut Whale6Roberval Dwarfs3WSommaire du Match
17 - 2020-11-13129Connecticut Whale5San Antonio Rampage1WSommaire du Match
18 - 2020-11-14141Connecticut Whale1Chicoutimi Saguenéens3LSommaire du Match
21 - 2020-11-17155Binghamton Senators4Connecticut Whale1LSommaire du Match
23 - 2020-11-19173Connecticut Whale5Binghamton Senators1WSommaire du Match
25 - 2020-11-21186Albany Devils7Connecticut Whale2LSommaire du Match
26 - 2020-11-22196Connecticut Whale5Albany Devils1WSommaire du Match
29 - 2020-11-25212Connecticut Whale3Roberval Dwarfs6LSommaire du Match
31 - 2020-11-27225Wilkes-Barre/Scranton Penguins0Connecticut Whale2WSommaire du Match
34 - 2020-11-30246CCCP Red Army4Connecticut Whale3LXSommaire du Match
36 - 2020-12-02263Connecticut Whale3CCCP Red Army4LXXSommaire du Match
38 - 2020-12-04278Albany Devils2Connecticut Whale3WSommaire du Match
40 - 2020-12-06294Connecticut Whale5CCCP Red Army3WSommaire du Match
42 - 2020-12-08314Manitoba Moose5Connecticut Whale3LSommaire du Match
44 - 2020-12-10323Connecticut Whale6The Nuuk Vikings4WSommaire du Match
47 - 2020-12-13344Connecticut Whale3Chicago Wolves1WSommaire du Match
49 - 2020-12-15355Laval Chiefs4Connecticut Whale0LSommaire du Match
51 - 2020-12-17372Connecticut Whale7Trois-Rivières Draveurs4WSommaire du Match
54 - 2020-12-20390Charlotte Checkers4Connecticut Whale3LXSommaire du Match
56 - 2020-12-22408Connecticut Whale2Wilkes-Barre/Scranton Penguins3LXSommaire du Match
57 - 2020-12-23420Oklahoma City Barons5Connecticut Whale2LSommaire du Match
60 - 2020-12-26438Connecticut Whale-Rouyn-Noranda Huskies-
62 - 2020-12-28449Wilkes-Barre/Scranton Penguins-Connecticut Whale-
65 - 2020-12-31470Connecticut Whale-Trois-Rivières Draveurs-
67 - 2021-01-02484Connecticut Whale-Grand Rapids Griffins-
68 - 2021-01-03493CCCP Red Army-Connecticut Whale-
71 - 2021-01-06514Connecticut Whale-Laval Chiefs-
72 - 2021-01-07526Las Vegas Gamblers-Connecticut Whale-
76 - 2021-01-11553Milwaukee Admirals-Connecticut Whale-
78 - 2021-01-13568Connecticut Whale-Roberval Dwarfs-
80 - 2021-01-15583Norfolk Admirals-Connecticut Whale-
82 - 2021-01-17601Connecticut Whale-Henderson Silver Knights-
85 - 2021-01-20617Gatineau Olympiques-Connecticut Whale-
88 - 2021-01-23639Connecticut Whale-Rochester Americans-
89 - 2021-01-24650Connecticut Whale-Bridgeport Sound Tigers-
91 - 2021-01-26660Trois-Rivières Draveurs-Connecticut Whale-
93 - 2021-01-28682Connecticut Whale-Chicoutimi Saguenéens-
95 - 2021-01-30692Peoria Rivermen-Connecticut Whale-
98 - 2021-02-02715Providence Bruins-Connecticut Whale-
101 - 2021-02-05736Connecticut Whale-Mercer Island Hafgufa-
102 - 2021-02-06748Binghamton Senators-Connecticut Whale-
104 - 2021-02-08770Connecticut Whale-Adirondack Phantoms-
107 - 2021-02-11781Springfield Falcons-Connecticut Whale-
109 - 2021-02-13797Connecticut Whale-Rockford IceHogs-
111 - 2021-02-15811San Antonio Rampage-Connecticut Whale-
115 - 2021-02-19842Chicoutimi Saguenéens-Connecticut Whale-
120 - 2021-02-24871Houston Aeros-Connecticut Whale-
122 - 2021-02-26888Connecticut Whale-Manitoba Moose-
124 - 2021-02-28904Providence Bruins-Connecticut Whale-
125 - 2021-03-01918Connecticut Whale-Lake Erie Monsters-
128 - 2021-03-04935Adirondack Phantoms-Connecticut Whale-
129 - 2021-03-05950Connecticut Whale-Albany Devils-
132 - 2021-03-08970Bridgeport Sound Tigers-Connecticut Whale-
134 - 2021-03-10981Connecticut Whale-Wilkes-Barre/Scranton Penguins-
137 - 2021-03-131001San Antonio Rampage-Connecticut Whale-
138 - 2021-03-141013Connecticut Whale-Charlotte Checkers-
141 - 2021-03-171035Joliette Sportif-Connecticut Whale-
143 - 2021-03-191041Connecticut Whale-San Antonio Rampage-
146 - 2021-03-221066Roberval Dwarfs-Connecticut Whale-
148 - 2021-03-241081Connecticut Whale-Providence Bruins-
150 - 2021-03-261099Albany Devils-Connecticut Whale-
153 - 2021-03-291112Connecticut Whale-Charlotte Checkers-
154 - 2021-03-301123Connecticut Whale-Rockford IceHogs-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
157 - 2021-04-021141Adirondack Phantoms-Connecticut Whale-
160 - 2021-04-051167Grand Rapids Griffins-Connecticut Whale-
161 - 2021-04-061173Connecticut Whale-Adirondack Phantoms-
163 - 2021-04-081182Connecticut Whale-Binghamton Senators-
166 - 2021-04-111203Bridgeport Sound Tigers-Connecticut Whale-
168 - 2021-04-131220Connecticut Whale-Albany Devils-
171 - 2021-04-161239Rochester Americans-Connecticut Whale-
176 - 2021-04-211266Charlotte Checkers-Connecticut Whale-
177 - 2021-04-221268Connecticut Whale-Norfolk Admirals-
183 - 2021-04-281296Connecticut Whale-Norfolk Admirals-
187 - 2021-05-021318Rochester Americans-Connecticut Whale-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3520
Assistance26,00013,000
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
27 3000 - 100.00% 90,000$1,170,000$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,083,670$ 2,930,500$ 2,930,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,588$ 897,126$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,430,000$ 130 18,779$ 2,441,270$




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