Connecticut Whale
GP: 65 | W: 44 | L: 16 | OTL: 5 | P: 93
GF: 241 | GA: 161 | PP%: 25.78% | PK%: 86.85%
DG: Francis Bérubé | Morale : 54 | Moyenne d'Équipe : N/A
Prochain matchs #1061 vs Henderson Silver Knights
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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
1Dylan Cozens (A)XX100.0078368188798579817174736875717985000
2Ryan Poehling (R) (C)X99.0074378678808080797775727572777075000
3Tyson Foerster (R)X100.0072457574798285787672726776686675000
4Alex Formenton (R)X100.0082407389778282836771737373736885000
5Jan Jenik (R)XX100.0079447480758471806771706674686765000
6Josh Norris (R)X100.0075388280798680797371716873737475000
7Dawson Mercer (R)X99.0066488577768484777271717472646475000
8Nick Robertson (R)X100.0067407877738383786571716879686685000
9Morgan Frost (R)X100.0066358386778470797572716673717075000
10Joseph BlandisiXX100.0090417779878076797273746972798165000
11Andrei Altybarmakyan (R)X100.0073426879768081786672716477706765000
12Trent FredericXX100.0089407681858381807371726872656565000
13Evan Bouchard (R)X100.0077427782828282835078718068727275000
14Rasmus Sandin (A)X99.0074338285788681835075688465767385000
15Scott Walford (R)X100.0089447374878382775072668563718065000
16Vladislav GavrikovX100.0086408475858282785071668760797365000
17Moritz Seider (R)X99.0082448077828486795072668665697085000
18Josh Mahura (R)X100.0078337979818074795073658763747265000
Rayé
1Aidan Dudas (R)X100.0067407979708180757369687371647665000
2Cam Hillis (R)X100.0060307676668271757368677171617065000
3Jeremy Bracco (R)XX100.0060259383698580796371696472717065000
4Spencer Watson (R)X100.0056358976738381776668696472717145000
5William Lagesson (R)X100.0088457675868176755069658561747355000
6Filip Westerlund (R)X100.0066358376738066745066628255636355000
MOYENNE D'ÉQUIPE99.837539807978837979647269747071717500
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
1Stuart Skinner (R)100.008585858685868586858585777085000
2Felix Sandström (R)100.008581838488868688868783666885000
3Michael DiPietro (R)99.008887878493888887898886736995000
Rayé
MOYENNE D'ÉQUIPE99.67868485858987868787878572698500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Hakstol83848282848270USA5421,200,000$


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
1Alex FormentonConnecticut Whale (NYR)LW6541428313460104512157414619.07%22114117.571812305020110161088348.65%7415513101.4502000975
2Dylan CozensConnecticut Whale (NYR)C/RW652443671712074311686112014.29%11101315.5982331382010000194345.36%9714418001.3211000621
3Ryan PoehlingConnecticut Whale (NYR)C65154358191607389136427111.03%34129619.94510152319402283115051.37%13104818000.8900000373
4Morgan FrostConnecticut Whale (NYR)C65243054288053621505111016.00%1696214.817815281370001225251.94%6439811011.1200000341
5Joseph BlandisiConnecticut Whale (NYR)C/LW651626421514010335145468811.03%1679912.31112260110132038.89%367512001.0500000233
6Dawson MercerConnecticut Whale (NYR)RW6519214025605069102445618.63%30123118.9465112516130393074041.27%634928100.6500000045
7Nick RobertsonConnecticut Whale (NYR)LW6510293925280664211754818.55%1297214.965813241550113211046.34%41427000.8002000013
8Tyson FoersterConnecticut Whale (NYR)C65152338143404652116378712.93%482512.70022218000000152.86%5944411000.9202000112
9Josh NorrisConnecticut Whale (NYR)C6562329148066479542576.32%890813.98000000114760050.19%2654710000.6400000113
10Rasmus SandinConnecticut Whale (NYR)D6291928152608011683434110.84%108137822.2411011182091012134200.00%01163000.4100000112
11Evan BouchardConnecticut Whale (NYR)D5011152612380576263413717.46%54101820.3626812180000016310.00%02543000.5100000213
12Moritz SeiderConnecticut Whale (NYR)D65101424154209314311248508.93%93143422.08134141490112165300.00%0668000.3300000003
13Vladislav GavrikovConnecticut Whale (NYR)D6571320102408613864323310.94%103128119.711342440001247200.00%0867000.3101000021
14Trent FredericConnecticut Whale (NYR)C/LW65101020-1320904410936669.17%1372211.1100003000003149.21%252626000.5500000013
15Andrei AltybarmakyanConnecticut Whale (NYR)RW5671219-524047299131557.69%1564411.5101100000000137.50%24465000.5900000000
16Jan JenikConnecticut Whale (NYR)LW/RW6551318-428055267436666.76%1068210.5110110000030026.92%265012000.5300000110
17Josh MahuraConnecticut Whale (NYR)D472161814260511026927162.90%7796820.610339770003167000.00%0243000.3700000000
18Scott WalfordConnecticut Whale (NYR)D52511162146094896638257.58%6096118.49134565011387100.00%0551000.3300000002
19William LagessonConnecticut Whale (NYR)D43312151630064703916127.69%4872616.9000000011068000.00%0133000.4100000102
20Spencer WatsonConnecticut Whale (NYR)RW13145140371510146.67%119915.3200020000000040.00%5115000.5000000010
21Glenn GawdinNew York RangersC/RW1412336010313677.69%3946.7410137000000066.67%381000.6400000000
22Jeremy BraccoConnecticut Whale (NYR)LW/RW13000-100108030.00%1362.810000000002000.00%040000.0000000000
23Filip WesterlundConnecticut Whale (NYR)D1800002062516740.00%2123212.9100000000135000.00%0116000.0000000000
Stats d'équipe Total ou en Moyenne12132414216622665000137213322066822124511.67%7601953216.10589815625818145813431810431250.60%3433942541210.6818000303742
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)43291130.9242.322586201001312695310.00004321562
2Felix SandströmConnecticut Whale (NYR)149320.9282.328532133461241100.85771434500
3Stuart SkinnerConnecticut Whale (NYR)86200.9043.224840026272157100.0000810100
Stats d'équipe Total ou en Moyenne65441650.9222.4339244115920451093510.857765651162


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)C221999-01-02 05:56:48Yes185 Lbs5 ft9NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Alex FormentonConnecticut Whale (NYR)LW231998-01-02 15:01:36Yes198 Lbs6 ft2YesNoNo3Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$950,000$
Andrei AltybarmakyanConnecticut Whale (NYR)RW241997-01-02 00:21:06Yes192 Lbs5 ft11NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Cam HillisConnecticut Whale (NYR)C221999-01-02 07:04:28Yes168 Lbs5 ft11NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Dawson MercerConnecticut Whale (NYR)RW212000-01-02 00:04:21Yes179 Lbs6 ft0NoNoNo2Pro & Farm925,000$222,775$925,000$222,775$0$0$No925,000$
Dylan CozensConnecticut Whale (NYR)C/RW212000-01-02 12:11:51No187 Lbs6 ft3NoNoNo1Pro & Farm950,000$228,796$950,000$228,796$0$0$No
Evan BouchardConnecticut Whale (NYR)D231998-01-02 21:21:25Yes194 Lbs6 ft3NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Felix SandströmConnecticut Whale (NYR)G251996-01-22 02:33:19Yes192 Lbs6 ft2NoNoNo1Pro & Farm1,175,000$282,984$1,175,000$282,984$0$0$No
Filip WesterlundConnecticut Whale (NYR)D231998-01-22 07:28:37Yes181 Lbs5 ft11NoNoNo2Pro & Farm750,000$180,628$750,000$180,628$0$0$No750,000$
Jan JenikConnecticut Whale (NYR)LW/RW221999-01-02 07:19:45Yes181 Lbs6 ft1NoNoNo1Pro & Farm950,000$228,796$950,000$228,796$0$0$No
Jeremy BraccoConnecticut Whale (NYR)LW/RW251996-01-02 07:57:42Yes181 Lbs5 ft9NoNoNo1Pro & Farm900,000$216,754$900,000$216,754$0$0$No
Joseph BlandisiConnecticut Whale (NYR)C/LW281993-01-22 05:13:11No205 Lbs6 ft0NoNoNo1Pro & Farm1,600,000$385,340$1,600,000$385,340$0$0$No
Josh MahuraConnecticut Whale (NYR)D241997-01-22 14:36:29Yes192 Lbs6 ft0NoNoNo3Pro & Farm1,600,000$385,340$1,600,000$385,340$0$0$No1,600,000$1,600,000$
Josh NorrisConnecticut Whale (NYR)C231998-01-02 08:10:55Yes192 Lbs6 ft2NoNoNo1Pro & Farm925,000$222,775$925,000$222,775$0$0$No
Michael DiPietroConnecticut Whale (NYR)G231998-01-22 07:21:01Yes201 Lbs6 ft0NoNoNo3Pro & Farm1,550,000$373,298$1,550,000$373,298$0$0$No1,550,000$1,550,000$
Morgan FrostConnecticut Whale (NYR)C231998-01-02 23:28:39Yes185 Lbs6 ft0NoNoNo2Pro & Farm925,000$222,775$925,000$222,775$0$0$No925,000$
Moritz SeiderConnecticut Whale (NYR)D212000-01-02 23:36:09Yes207 Lbs6 ft4NoNoNo2Pro & Farm925,000$222,775$925,000$222,775$0$0$No925,000$
Nick RobertsonConnecticut Whale (NYR)LW212000-01-02 00:12:09Yes161 Lbs5 ft9NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Rasmus SandinConnecticut Whale (NYR)D221999-01-02 05:46:11No187 Lbs5 ft11NoNoNo1Pro & Farm950,000$228,796$950,000$228,796$0$0$No
Ryan PoehlingConnecticut Whale (NYR)C231998-01-02 10:21:33Yes185 Lbs6 ft2NoNoNo2Pro & Farm900,000$216,754$900,000$216,754$0$0$No900,000$
Scott WalfordConnecticut Whale (NYR)D231998-01-22 05:39:30Yes198 Lbs6 ft2NoNoNo3Pro & Farm1,250,000$301,047$1,250,000$301,047$0$0$No1,250,000$1,250,000$
Spencer WatsonConnecticut Whale (NYR)RW261995-01-02 08:24:06Yes170 Lbs5 ft10NoNoNo1Pro & Farm800,000$192,670$800,000$192,670$0$0$No
Stuart SkinnerConnecticut Whale (NYR)G241997-01-02 15:16:41Yes205 Lbs6 ft4YesNoNo1Pro & Farm1,000,000$240,838$1,000,000$240,838$0$0$No
Trent FredericConnecticut Whale (NYR)C/LW241997-01-22 04:45:11No203 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No1,500,000$
Tyson FoersterConnecticut Whale (NYR)C202001-01-02 22:31:54Yes194 Lbs6 ft2NoNoNo2Pro & Farm950,000$228,796$950,000$228,796$0$0$No950,000$
Vladislav GavrikovConnecticut Whale (NYR)D271994-01-02 08:47:18No205 Lbs6 ft3NoNoNo3Pro & Farm1,900,000$457,592$1,900,000$457,592$0$0$No1,900,000$1,900,000$
William LagessonConnecticut Whale (NYR)D261995-01-02 09:03:31Yes207 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$361,257$1,500,000$361,257$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2723.30190 Lbs6 ft11.701,091,667$



Attaque à 5 contre 5
Ligne # Ailier Gauche Centre Ailier Droit
1Alex FormentonRyan PoehlingDawson Mercer
2Nick RobertsonMorgan FrostDylan Cozens
3Joseph BlandisiTyson FoersterJosh Norris
4Jan JenikTrent FredericAndrei Altybarmakyan
Défense à 5 contre 5
Ligne # Défense Défense
1Evan BouchardMoritz Seider
2Rasmus SandinJosh Mahura
3Scott WalfordVladislav Gavrikov
4Scott WalfordMoritz Seider
Attaque en Avantage Numérique
Ligne # Ailier Gauche Centre Ailier Droit
1Alex FormentonRyan PoehlingDylan Cozens
2Nick RobertsonMorgan FrostDawson Mercer
Défense en Avantage Numérique
Ligne # Défense Défense
1Evan BouchardRasmus Sandin
2Moritz SeiderScott Walford
Attaque à 4 en Désavantage Numérique
Ligne # Centre Ailier
1Ryan PoehlingDawson Mercer
2Josh NorrisAlex Formenton
Défense à 4 en Désavantage Numérique
Ligne # Défense Défense
1Rasmus SandinVladislav Gavrikov
2Josh MahuraMoritz Seider
3 joueurs en Désavantage Numérique
Ligne # Ailier Défense Défense
1Dawson MercerRasmus SandinVladislav Gavrikov
2Alex FormentonJosh MahuraMoritz Seider
Attaque à 4 contre 4
Ligne # Centre Ailier
1Alex FormentonDylan Cozens
2Ryan PoehlingJoseph Blandisi
Défense à 4 contre 4
Ligne # Défense Défense
1Josh MahuraMoritz Seider
2Scott WalfordVladislav Gavrikov
Attaque Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Alex FormentonRyan PoehlingDylan CozensEvan BouchardScott Walford
Défense Dernière Minute
Ailier Gauche Centre Ailier Droit Défense Défense
Alex FormentonRyan PoehlingDawson MercerVladislav GavrikovRasmus Sandin
Attaquants Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Andrei Altybarmakyan, Jan Jenik, Alex FormentonTyson Foerster, Trent FredericNick Robertson
Défenseurs Supplémentaires
Normal Avantage Numérique Désavantage Numérique
Moritz Seider, Evan Bouchard, Vladislav GavrikovMoritz SeiderScott Walford, Rasmus Sandin
Tirs de Pénalité
Nick Robertson, Alex Formenton, Tyson Foerster, Dylan Cozens, Jan Jenik
Gardien
#1 : Felix Sandström, #2 : Michael DiPietro, #3 : Stuart Skinner
Lignes d'Attaque Perso. en Prol.
Alex Formenton, Dylan Cozens, Morgan Frost, Ryan Poehling, Nick Robertson, Dawson Mercer, Dawson Mercer, Tyson Foerster, Trent Frederic, Andrei Altybarmakyan, Josh Norris
Lignes de Défense Perso. en Prol.
Rasmus Sandin, Evan Bouchard, Moritz Seider, Josh Mahura, Scott Walford


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 Phantoms64001100231310320001001064320010001376110.91723426500838169819474464562827174655214522940.91%26580.77%0644127850.39%686135050.81%40577052.60%15139811439526978490
2Albany Devils431000002114711000000817321000001313060.750213960008381698130744645628271295840768225.00%20385.00%1644127850.39%686135050.81%40577052.60%15139811439526978490
3Binghamton Senators11000000312110000003120000000000021.000347008381698247446456282730174192150.00%20100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
4Blainville-Boisbriand Armada11000000642110000006420000000000021.0006814008381698407446456282725104193133.33%2150.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
5Bridgeport Sound Tigers6230100017143311010009633120000088060.50017294601838169819674464562827179504212223417.39%21385.71%1644127850.39%686135050.81%40577052.60%15139811439526978490
6Charlotte Checkers2020000079-21010000045-11010000034-100.000712190083816986774464562827721616408225.00%8187.50%1644127850.39%686135050.81%40577052.60%15139811439526978490
7Chicago Wolves11000000321110000003210000000000021.000358008381698317446456282730810235360.00%5180.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
8Chicoutimi Saguenéens220000001349110000007341100000061541.0001322350083816985474464562827673116389222.22%8275.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
9Chisinau Pelicans2020000049-5000000000002020000049-500.00048120083816986074464562827691620464125.00%10190.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
10Gatineau Olympiques11000000523000000000001100000052321.00051015008381698367446456282726156223133.33%3166.67%0644127850.39%686135050.81%40577052.60%15139811439526978490
11Grand Rapids Griffins10000010211000000000001000001021121.000213008381698317446456282731161424300.00%70100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
12Henderson Silver Knights11000000321110000003210000000000021.00036900838169826744645628273191221200.00%60100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
13Houston Aeros22000000954110000006421100000031241.000915240083816985774464562827652622398450.00%11190.91%0644127850.39%686135050.81%40577052.60%15139811439526978490
14Joliette Sportif1010000001-1000000000001010000001-100.0000000083816983674464562827288827500.00%40100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
15Lake Erie Monsters11000000716110000007160000000000021.00071219008381698357446456282722108208450.00%40100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
16Laval Chiefs1010000016-5000000000001010000016-500.00011200838169828744645628273591021300.00%5260.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
17Manitoba Moose10001000211100010002110000000000021.00023500838169833744645628273892184125.00%10100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
18Mercer Island Hafgufa1000010045-1000000000001000010045-110.5004812008381698377446456282739214273133.33%20100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
19Milwaukee Admirals11000000532110000005320000000000021.0005914008381698347446456282732174274250.00%220.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
20Norfolk Admirals431000001468110000007163210000075260.750142438008381698130744645628271125220791516.67%10190.00%1644127850.39%686135050.81%40577052.60%15139811439526978490
21Nunavik Natturaliit10001000321000000000001000100032121.00035800838169832744645628273614616100.00%30100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
22Oklahoma City Barons1010000024-2000000000001010000024-200.00024610838169835744645628272813424400.00%2150.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
23Providence Bruins530010012291343000001197121000100032190.9002238600083816981637446456282717653389413646.15%19289.47%0644127850.39%686135050.81%40577052.60%15139811439526978490
24Roberval Dwarfs11000000514110000005140000000000021.000581300838169829744645628274113825100.00%40100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
25Rochester Americans22000000954110000005231100000043141.000915240083816985574464562827602222428450.00%11190.91%0644127850.39%686135050.81%40577052.60%15139811439526978490
26Rouyn-Noranda Huskies1010000023-1000000000001010000023-100.000235008381698307446456282731111021300.00%5260.00%1644127850.39%686135050.81%40577052.60%15139811439526978490
27San Antonio Rampage43000100171162100010066022000000115670.8751729460083816981177446456282712540308616531.25%150100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
28Springfield Falcons51202000141223020100079-22100100073460.60014253900838169813974464562827153622410023313.04%12191.67%0644127850.39%686135050.81%40577052.60%15139811439526978490
29The Nuuk Vikings11000000312000000000001100000031221.000369008381698327446456282731111029100.00%50100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
Total653616074112411618032215032011357263331511042101068917930.715241417658118381698203774464562827204674050013642255825.78%2513386.85%5644127850.39%686135050.81%40577052.60%15139811439526978490
31Trois-Rivières Lions11000000826110000008260000000000021.00081220008381698357446456282730101420400.00%70100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
32Verdun Junior11000000211110000002110000000000021.0002460083816983274464562827315622400.00%30100.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
33Wilkes-Barre/Scranton Penguins2010010057-21010000034-11000010023-110.250510150083816985974464562827702314325120.00%8275.00%0644127850.39%686135050.81%40577052.60%15139811439526978490
_Since Last GM Reset653616074112411618032215032011357263331511042101068917930.715241417658118381698203774464562827204674050013642255825.78%2513386.85%5644127850.39%686135050.81%40577052.60%15139811439526978490
_Vs Conference462411064011691175223125032018954352312603200806317650.70716929946811838169814387446456282714515193429451624326.54%1722187.79%4644127850.39%686135050.81%40577052.60%15139811439526978490
_Vs Division9136051013618186730210128141436303000844382.1113657930083816982947446456282728010766185351234.29%33487.88%0644127850.39%686135050.81%40577052.60%15139811439526978490

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6593OTL124141765820372046740500136411
Tous les Matchs
GPWLOTWOTL SOWSOL GFGA
6536167411241161
Matchs locaux
GPWLOTWOTL SOWSOL GFGA
32215320113572
Matchs Éxtérieurs
GPWLOTWOTL SOWSOL GFGA
331511421010689
Derniers 10 Matchs
WLOTWOTL SOWSOL
510301
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2255825.78%2513386.85%5
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
744645628278381698
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
644127850.39%686135050.81%40577052.60%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
15139811439526978490


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 - 2022-09-0716Providence Bruins1Connecticut Whale3WSommaire du Match
5 - 2022-09-0933Connecticut Whale3Norfolk Admirals2WSommaire du Match
7 - 2022-09-1143Connecticut Whale5Adirondack Phantoms2WSommaire du Match
8 - 2022-09-1254Springfield Falcons6Connecticut Whale4LSommaire du Match
11 - 2022-09-1579Bridgeport Sound Tigers3Connecticut Whale2LSommaire du Match
14 - 2022-09-1891Connecticut Whale3Providence Bruins2WXSommaire du Match
16 - 2022-09-20110Adirondack Phantoms2Connecticut Whale6WSommaire du Match
18 - 2022-09-22120Connecticut Whale3Charlotte Checkers4LSommaire du Match
19 - 2022-09-23127Connecticut Whale1Albany Devils4LSommaire du Match
21 - 2022-09-25144Connecticut Whale4San Antonio Rampage2WSommaire du Match
23 - 2022-09-27163Providence Bruins2Connecticut Whale5WSommaire du Match
26 - 2022-09-30185Springfield Falcons2Connecticut Whale1LSommaire du Match
27 - 2022-10-01197Connecticut Whale1Bridgeport Sound Tigers2LSommaire du Match
32 - 2022-10-06218Albany Devils1Connecticut Whale8WSommaire du Match
34 - 2022-10-08236Connecticut Whale3Springfield Falcons2WXSommaire du Match
35 - 2022-10-09246Connecticut Whale2Chisinau Pelicans6LSommaire du Match
37 - 2022-10-11263Houston Aeros4Connecticut Whale6WSommaire du Match
40 - 2022-10-14284Trois-Rivières Lions2Connecticut Whale8WSommaire du Match
41 - 2022-10-15298Connecticut Whale1Laval Chiefs6LSommaire du Match
43 - 2022-10-17315Roberval Dwarfs1Connecticut Whale5WSommaire du Match
46 - 2022-10-20327Connecticut Whale2Grand Rapids Griffins1WXXSommaire du Match
47 - 2022-10-21347Chicago Wolves2Connecticut Whale3WSommaire du Match
49 - 2022-10-23365Connecticut Whale4Springfield Falcons1WSommaire du Match
51 - 2022-10-25378Connecticut Whale6Chicoutimi Saguenéens1WSommaire du Match
53 - 2022-10-27388Henderson Silver Knights2Connecticut Whale3WSommaire du Match
55 - 2022-10-29404Connecticut Whale3Houston Aeros1WSommaire du Match
57 - 2022-10-31419Providence Bruins1Connecticut Whale9WSommaire du Match
59 - 2022-11-02439Connecticut Whale3The Nuuk Vikings1WSommaire du Match
61 - 2022-11-04449Connecticut Whale3Nunavik Natturaliit2WXSommaire du Match
63 - 2022-11-06460Springfield Falcons1Connecticut Whale2WXSommaire du Match
65 - 2022-11-08479Connecticut Whale2Chisinau Pelicans3LSommaire du Match
67 - 2022-11-10490San Antonio Rampage2Connecticut Whale3WSommaire du Match
70 - 2022-11-13514Connecticut Whale6Albany Devils4WSommaire du Match
73 - 2022-11-16524Bridgeport Sound Tigers3Connecticut Whale4WXSommaire du Match
77 - 2022-11-20551Connecticut Whale4Mercer Island Hafgufa5LXSommaire du Match
78 - 2022-11-21557Bridgeport Sound Tigers0Connecticut Whale3WSommaire du Match
80 - 2022-11-23571Connecticut Whale2Oklahoma City Barons4LSommaire du Match
83 - 2022-11-26589Binghamton Senators1Connecticut Whale3WSommaire du Match
85 - 2022-11-28609Connecticut Whale1Norfolk Admirals2LSommaire du Match
86 - 2022-11-29622Chicoutimi Saguenéens3Connecticut Whale7WSommaire du Match
89 - 2022-12-02643Connecticut Whale0Joliette Sportif1LSommaire du Match
90 - 2022-12-03655Blainville-Boisbriand Armada4Connecticut Whale6WSommaire du Match
93 - 2022-12-06669Connecticut Whale7San Antonio Rampage3WSommaire du Match
95 - 2022-12-08687Milwaukee Admirals3Connecticut Whale5WSommaire du Match
97 - 2022-12-10705Connecticut Whale6Albany Devils5WSommaire du Match
100 - 2022-12-13718Verdun Junior1Connecticut Whale2WSommaire du Match
104 - 2022-12-17746Connecticut Whale2Rouyn-Noranda Huskies3LSommaire du Match
105 - 2022-12-18756Norfolk Admirals1Connecticut Whale7WSommaire du Match
109 - 2022-12-22781Manitoba Moose1Connecticut Whale2WXSommaire du Match
111 - 2022-12-24796Connecticut Whale5Gatineau Olympiques2WSommaire du Match
113 - 2022-12-26814Wilkes-Barre/Scranton Penguins4Connecticut Whale3LSommaire du Match
115 - 2022-12-28840Rochester Americans2Connecticut Whale5WSommaire du Match
117 - 2022-12-30858Connecticut Whale1Bridgeport Sound Tigers4LSommaire du Match
120 - 2023-01-02875Lake Erie Monsters1Connecticut Whale7WSommaire du Match
122 - 2023-01-04891Connecticut Whale6Bridgeport Sound Tigers2WSommaire du Match
123 - 2023-01-05907Connecticut Whale4Rochester Americans3WSommaire du Match
125 - 2023-01-07915Charlotte Checkers5Connecticut Whale4LSommaire du Match
127 - 2023-01-09933Connecticut Whale3Adirondack Phantoms2WXSommaire du Match
129 - 2023-01-11945Connecticut Whale2Wilkes-Barre/Scranton Penguins3LXSommaire du Match
130 - 2023-01-12951Adirondack Phantoms1Connecticut Whale2WSommaire du Match
133 - 2023-01-15979Providence Bruins3Connecticut Whale2LXXSommaire du Match
137 - 2023-01-191000Connecticut Whale3Norfolk Admirals1WSommaire du Match
139 - 2023-01-211012Adirondack Phantoms3Connecticut Whale2LXSommaire du Match
143 - 2023-01-251038Connecticut Whale5Adirondack Phantoms3WSommaire du Match
144 - 2023-01-261048San Antonio Rampage4Connecticut Whale3LXSommaire du Match
146 - 2023-01-281061Connecticut Whale-Henderson Silver Knights-
147 - 2023-01-291074Connecticut Whale-Binghamton Senators-
149 - 2023-01-311084Nunavik Natturaliit-Connecticut Whale-
152 - 2023-02-031108Connecticut Whale-Manitoba Moose-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
153 - 2023-02-041117Springfield Falcons-Connecticut Whale-
155 - 2023-02-061141Oklahoma City Barons-Connecticut Whale-
159 - 2023-02-101160Connecticut Whale-Henderson Silver Knights-
161 - 2023-02-121178Albany Devils-Connecticut Whale-
164 - 2023-02-151204Verdun Junior-Connecticut Whale-
165 - 2023-02-161210Connecticut Whale-Providence Bruins-
168 - 2023-02-191238Houston Aeros-Connecticut Whale-
174 - 2023-02-251267Mercer Island Hafgufa-Connecticut Whale-
176 - 2023-02-271284Connecticut Whale-Charlotte Checkers-
178 - 2023-03-011297Albany Devils-Connecticut Whale-
180 - 2023-03-031309Connecticut Whale-Charlotte Checkers-
183 - 2023-03-061320Connecticut Whale-Providence Bruins-
190 - 2023-03-131353Mercer Island Hafgufa-Connecticut Whale-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets6040
Assistance63,65931,988
Assistance PCT99.47%99.96%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
9 2989 - 99.63% 159,346$5,099,060$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,100,467$ 2,947,500$ 2,947,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,432$ 2,185,877$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la Saison Dépenses Par JourDépenses de la Saison Éstimées
1,434,111$ 46 21,715$ 998,890$




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