Baby Hawks

GP: 78 | W: 49 | L: 26 | OTL: 3 | P: 101
GF: 274 | GA: 236 | PP%: 17.73% | PK%: 81.03%
DG: Sylvain Doyon | Morale : 50 | Moyenne d'Équipe : 54
Prochain matchs #1217 vs Monarchs
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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
1Jack Studnicka (R)X100.00716585736575786580616563624444050620204769,168$
2Jordan SzwarzXX100.00746978687273766073586367625151050610281750,000$
3Kiefer SherwoodXX100.008945827266658058576055722550500506102451,000,000$
4Kyle Rau (A)XX100.00736392686179806276626166594849050610261800,000$
5Aleksi SaarelaX100.00766992667075806075586066584748050610221700,000$
6Zac Rinaldo (A)XX100.00969460687151545526586567256667050600291800,000$
7Adam Ruzicka (R)XXX100.00827792637760615974565767544444050580204801,666$
8Mikey EyssimontXX100.00676766686771755974565859554444050580232525,000$
9Francis PerronX100.00696284626267705550565463505151050570232730,000$
10Tyler GaudetXX100.00797881607769715265554764444545050560262600,000$
11Lukas SedlakXX100.00634387697149454564404961474437050510263999,999$
12Ian McCoshenX100.00797672608068775134394267385050050590246600,000$
13William LagessonX100.00777679657664675225454563434444050580235800,000$
14Dylan CoghlanX100.00777092607073795325405263494444050580216600,000$
15Nikita TryamkinX100.00695070579949403635343773453734050540253850,000$
16Blake HillmanX100.007368855668525544253439593744440505202341,400,000$
17Ville Rasanen (R)X100.00484187666359804125413445365858050520204525,000$
Rayé
1Michael ZalewskiX100.00473583637143293745443164453734050460272750,000$
2Dmitry Zhukenov (R)X100.00344040405433333440343440373230050360221650,000$
3Cameron Crotty (R)X100.00504590636952703625303645385454050490204925,000$
MOYENNE D'ÉQUIPE100.0070628063706165515048496245474605056
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
1Zane McIntyre100.0060678679576454646157304444050600
2Ville Husso100.0057647981576155615958304444050590
Rayé
1Felix Sandstrom (R)100.0038434070373535353535343230050400
2Jeremy Helvig (R)100.0034373678343333333333333230050380
MOYENNE D'ÉQUIPE100.004753607746484448474632383705049
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Kiefer SherwoodBaby Hawks (Chi)LW/RW78314980294001291843108724910.00%23141418.134913511680002795249.28%13800101.1312000545
2Aleksi SaarelaBaby Hawks (Chi)C7830417122135312033591051788.36%21149319.156915621841016985257.81%188900000.9536001414
3Kyle RauBaby Hawks (Chi)C/LW7831376811100341453201022649.69%30146218.755914571830112896357.38%35900000.9325000333
4Zac RinaldoBaby Hawks (Chi)LW/RW7833286131112103001333049020610.86%18122015.65437206701121032130.11%9300201.0000110862
5Jack StudnickaBaby Hawks (Chi)C522335581610046206265731888.68%14119823.05358481310003905059.64%166000010.9713000543
6Mikey EyssimontBaby Hawks (Chi)C/LW781539542721543186216601566.94%12116014.880228290000551156.35%128300000.9312100223
7Dale WeiseChicagoRW70183452510315237146269711866.69%14136519.514812421630006921339.67%18400000.7615102233
8Adam RuzickaBaby Hawks (Chi)C/LW/RW78182745516069147216681328.33%14102713.17112143400092066260.49%77200000.8822000124
9William LagessonBaby Hawks (Chi)D787283528415133569825697.14%110163420.95246351670002246000.00%000000.4300001222
10Francis PerronBaby Hawks (Chi)LW7882533128028105181551134.42%15109514.040114241123813143.48%11500000.6001000001
11Kevin GravelChicagoD76112233133801035811832809.32%107165621.79426341671012155220.00%000000.4000000112
12Ian McCoshenBaby Hawks (Chi)D64721283172101855067216510.45%90134120.97235181190000204110.00%000000.4200002024
13Dan RenoufChicagoD7672027912315242488424508.33%101164621.66235381760001160010.00%000000.3300020121
14Dylan CoghlanBaby Hawks (Chi)D664182220320119355122417.84%81120018.1913410590001170100.00%000000.3700000023
15Nikita TryamkinBaby Hawks (Chi)D7461521165201532550183112.00%134120416.280002130111183210.00%100000.3500000210
16Tyler GaudetBaby Hawks (Chi)C/LW78713204295691019721537.22%107169.180000001161382059.71%47900000.5600001011
17Brooks OrpikChicagoD141563201710176125.88%2528720.53022732000028000.00%000000.4200000001
18Lukas SedlakBaby Hawks (Chi)C/LW334156004133252612.50%22477.49000141013750062.50%10400000.4000000000
19Blake HillmanBaby Hawks (Chi)D221231220301512528.33%2537316.99000314011143000.00%000000.1600000000
20Nick SeelerChicagoD10033015526410280.00%1120920.96011520000212000.00%000000.2900100000
21Jordan SzwarzBaby Hawks (Chi)C/RW20224001212360.00%23819.3500023000040050.00%200001.0300000000
22Michael ZalewskiBaby Hawks (Chi)LW15000000021100.00%1593.95000030001220063.64%1100000.0000000000
23Ville RasanenBaby Hawks (Chi)D2000-100101000.00%0126.260000000000000.00%000000.0000000000
24Cameron CrottyBaby Hawks (Chi)D1000-100000000.00%266.920000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne12792624657272917597520001874309089621158.48%8622207317.26386510346117674610532342422057.21%709000310.661126437363642
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
1Zane McIntyreBaby Hawks (Chi)64402030.9153.0037178318621880320.760256313345
2Ville HussoBaby Hawks (Chi)199600.9232.7799723465990000.60051562400
Stats d'équipe Total ou en Moyenne83492630.9172.95471410623227870320.733307875745


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam RuzickaBaby Hawks (Chi)C/LW/RW201999-05-11Yes203 Lbs6 ft4NoNoNo4Pro & Farm801,666$34,480$80,167$3,448$No801,666$801,666$801,666$Lien
Aleksi SaarelaBaby Hawks (Chi)C221997-01-07No198 Lbs5 ft11NoNoNo1Pro & Farm700,000$30,107$70,000$3,011$NoLien
Blake HillmanBaby Hawks (Chi)D231996-01-26No181 Lbs6 ft1NoNoNo4Pro & Farm1,000,000$43,010$140,000$6,022$No1,000,000$1,000,000$1,000,000$Lien
Cameron CrottyBaby Hawks (Chi)D201999-05-05Yes183 Lbs6 ft3NoNoNo4Pro & Farm925,000$39,784$92,500$3,978$No925,000$925,000$925,000$Lien
Dmitry ZhukenovBaby Hawks (Chi)C221997-03-24Yes178 Lbs6 ft0NoNoNo1Pro & Farm650,000$27,956$65,000$2,796$NoLien
Dylan CoghlanBaby Hawks (Chi)D211998-02-19No189 Lbs6 ft2YesNoNo6Pro & Farm600,000$25,806$60,000$2,581$No600,000$600,000$600,000$600,000$600,000$Lien
Felix SandstromBaby Hawks (Chi)G221997-01-12Yes191 Lbs6 ft2YesNoNo6Pro & Farm600,000$25,806$60,000$2,581$No600,000$600,000$600,000$600,000$600,000$Lien
Francis PerronBaby Hawks (Chi)LW231996-04-18No166 Lbs6 ft0NoNoNo2Pro & Farm730,000$31,397$73,000$3,140$No730,000$Lien
Ian McCoshenBaby Hawks (Chi)D241995-08-05No217 Lbs6 ft3YesNoNo6Pro & Farm600,000$25,806$60,000$2,581$No600,000$600,000$600,000$600,000$600,000$Lien
Jack StudnickaBaby Hawks (Chi)C201999-02-17Yes171 Lbs6 ft1NoNoNo4Pro & Farm769,168$33,082$76,917$3,308$No769,168$769,168$769,168$Lien
Jeremy HelvigBaby Hawks (Chi)G221997-05-25Yes206 Lbs6 ft4NoNoNo2Pro & Farm525,000$22,580$52,500$2,258$No525,000$Lien
Jordan SzwarzBaby Hawks (Chi)C/RW281991-05-13No200 Lbs5 ft11NoNoNo1Pro & Farm750,000$32,258$750,000$32,258$NoLien
Kiefer SherwoodBaby Hawks (Chi)LW/RW241995-03-31No180 Lbs5 ft11NoNoNo5Pro & Farm1,000,000$43,010$100,000$4,301$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Kyle RauBaby Hawks (Chi)C/LW261992-10-24No176 Lbs5 ft8NoNoNo1Pro & Farm800,000$34,408$80,000$3,441$NoLien
Lukas SedlakBaby Hawks (Chi)C/LW261993-02-25No205 Lbs6 ft0NoNoNo3Pro & Farm999,999$43,010$100,000$4,301$No999,999$999,999$Lien
Michael ZalewskiBaby Hawks (Chi)LW271992-08-18No205 Lbs6 ft2NoNoNo2Pro & Farm750,000$32,258$75,000$3,226$No750,000$Lien
Mikey EyssimontBaby Hawks (Chi)C/LW231996-09-09No181 Lbs6 ft0NoNoNo2Pro & Farm525,000$22,580$52,500$2,258$No525,000$Lien
Nikita TryamkinBaby Hawks (Chi)D251994-08-30No265 Lbs6 ft7NoNoNo3Pro & Farm850,000$36,559$85,000$3,656$No850,000$850,000$Lien
Tyler GaudetBaby Hawks (Chi)C/LW261993-03-04No205 Lbs6 ft3NoNoNo2Pro & Farm600,000$25,806$60,000$2,581$No600,000$Lien
Ville HussoBaby Hawks (Chi)G241995-02-05No205 Lbs6 ft3NoNoNo4Pro & Farm900,000$38,709$90,000$3,871$No900,000$900,000$900,000$Lien
Ville RasanenBaby Hawks (Chi)D201998-10-08Yes168 Lbs6 ft2NoNoNo4Pro & Farm525,000$22,580$52,500$2,258$No525,000$525,000$525,000$Lien
William LagessonBaby Hawks (Chi)D231996-02-22No207 Lbs6 ft2NoNoNo5Pro & Farm800,000$34,408$80,000$3,441$No800,000$800,000$800,000$800,000$Lien
Zac RinaldoBaby Hawks (Chi)LW/RW291990-06-15No192 Lbs5 ft10NoNoNo1Pro & Farm800,000$34,408$80,000$3,441$NoLien
Zane McIntyreBaby Hawks (Chi)G271992-08-20No206 Lbs6 ft2NoNoNo1Pro & Farm600,000$25,806$60,000$2,581$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.63195 Lbs6 ft13.08741,701$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle RauJack StudnickaJordan Szwarz40122
2Kiefer SherwoodAleksi SaarelaZac Rinaldo30122
3Mikey EyssimontAdam RuzickaFrancis Perron20122
4Lukas SedlakTyler GaudetJack Studnicka10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshen40122
2Dylan CoghlanWilliam Lagesson30122
3Nikita TryamkinBlake Hillman20122
4Ian McCoshen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Kyle RauJack StudnickaJordan Szwarz60122
2Kiefer SherwoodAleksi SaarelaZac Rinaldo40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshen60122
2Dylan CoghlanWilliam Lagesson40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jack StudnickaAleksi Saarela60122
2Jordan SzwarzKyle Rau40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshen60122
2Dylan CoghlanWilliam Lagesson40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jack Studnicka60122Ian McCoshen60122
2Aleksi Saarela40122Dylan CoghlanWilliam Lagesson40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jack StudnickaAleksi Saarela60122
2Jordan SzwarzKyle Rau40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ian McCoshen60122
2Dylan CoghlanWilliam Lagesson40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle RauJack StudnickaJordan SzwarzIan McCoshen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Kyle RauJack StudnickaJordan SzwarzIan McCoshen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lukas Sedlak, Adam Ruzicka, Mikey EyssimontLukas Sedlak, Adam RuzickaMikey Eyssimont
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Tryamkin, Blake Hillman, Dylan CoghlanNikita TryamkinBlake Hillman, Dylan Coghlan
Tirs de Pénalité
Jack Studnicka, Aleksi Saarela, Jordan Szwarz, Kyle Rau, Kiefer Sherwood
Gardien
#1 : Zane McIntyre, #2 : Ville Husso


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
1Admirals321000001064220000008261010000024-240.66710172710107887312128108810301094581152732865120.00%16193.75%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
2Bears21100000550110000004311010000012-120.50051015001078873126410881030109458672620633133.33%8187.50%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
3Bruins2110000078-11010000035-21100000043120.50071118001078873128210881030109458652522637114.29%9455.56%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
4Cabaret Lady Mary Ann220000001019110000005051100000051441.0001020300110788731214310881030109458541414602150.00%7185.71%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
5Caroline2010001079-21010000025-31000001054120.50071017001078873127710881030109458883226583133.33%13469.23%11740300257.96%1651296155.76%720126756.83%1926133817825751010503
6Chiefs40400000417-1320200000411-72020000006-600.000459001078873121241088103010945816244469410110.00%20765.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
7Chill54100000201373210000012842200000085380.800203555001078873122101088103010945817149501321800.00%20575.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
8Comets31100001131301100000051420100001812-430.500132134001078873121221088103010945812534377610220.00%16475.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
9Cougars2110000056-1110000003211010000024-220.5005813101078873127010881030109458841724569111.11%12191.67%11740300257.96%1651296155.76%720126756.83%1926133817825751010503
10Crunch20000110880100000104311000010045-130.75081321001078873129610881030109458781520546233.33%9188.89%11740300257.96%1651296155.76%720126756.83%1926133817825751010503
11Heat3300000016791100000042222000000125761.00016284400107887312141108810301094588930318412325.00%12283.33%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
12Jayhawks3120000079-2110000003212020000047-320.33371320001078873121071088103010945811440336611218.18%13284.62%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
13Las Vegas32100000743110000002022110000054140.667711180210788731213310881030109458933022881218.33%11190.91%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
14Manchots211000001073110000006241010000045-120.500101626001078873128410881030109458862622454125.00%110100.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
15Marlies2110000045-1110000002021010000025-320.5004812011078873126110881030109458591918564125.00%9188.89%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
16Minnesota430000102010102100001096322000000114781.000203353001078873122801088103010945814640281266233.33%14471.43%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
17Monarchs21100000880110000004221010000046-220.5008152300107887312771088103010945876151850700.00%8362.50%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
18Monsters22000000523110000002021100000032141.0005914011078873127210881030109458492812579111.11%60100.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
19Monsters42100001121202010000158-32200000074350.6251220320010788731212210881030109458153434510611436.36%20290.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
20Oceanics514000001122-112110000048-430300000714-720.20011203100107887312143108810301094582157762147700.00%29775.86%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
21Oil Kings330000001394220000008621100000053261.000132538001078873121451088103010945810533229314214.29%11281.82%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
22Phantoms211000008711010000045-11100000042220.50081422001078873128710881030109458562314638112.50%7271.43%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
23Rocket1010000056-1000000000001010000056-100.0005914001078873124010881030109458451410284125.00%5180.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
24Senators2010100037-4100010003211010000005-520.500369001078873126710881030109458102263948500.00%13376.92%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
25Sharks330000001248220000009361100000031261.00012233500107887312153108810301094588020418311218.18%11190.91%11740300257.96%1651296155.76%720126756.83%1926133817825751010503
26Sound Tigers11000000431110000004310000000000021.00045900107887312481088103010945827722312150.00%40100.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
27Spiders220000001064110000006331100000043141.000102030001078873126610881030109458692129453133.33%6183.33%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
28Stars421000102016421100000109121000010107360.7502036560010788731218010881030109458140523210414428.57%16475.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
29Thunder21000010523110000002021000001032141.000571201107887312751088103010945849121845200.00%9188.89%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
Total78432601152274236383926901021142105373917170013113213111010.64727447875226107887312324010881030109458278984481521332203917.73%3486681.03%41740300257.96%1651296155.76%720126756.83%1926133817825751010503
30Wolf Pack11000000541110000005410000000000021.0005101500107887312431088103010945827562611100.00%30100.00%01740300257.96%1651296155.76%720126756.83%1926133817825751010503
_Since Last GM Reset78432601152274236383926901021142105373917170013113213111010.64727447875226107887312324010881030109458278984481521332203917.73%3486681.03%41740300257.96%1651296155.76%720126756.83%1926133817825751010503
_Vs Conference40201300142147127201810500021645592210800121837211510.63814725239913107887312178010881030109458147643839010931242721.77%1793679.89%31740300257.96%1651296155.76%720126756.83%1926133817825751010503
_Vs Division23660001086602611320001043182512340000043421140.3048615323912107887312100610881030109458797229236626821315.85%981683.67%11740300257.96%1651296155.76%720126756.83%1926133817825751010503

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
78101W327447875232402789844815213326
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
7843261152274236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
392691021142105
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3917170131132131
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2203917.73%3486681.03%4
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
10881030109458107887312
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
1740300257.96%1651296155.76%720126756.83%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1926133817825751010503


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 - 2020-10-2413Baby Hawks4Phantoms2WSommaire du Match
9 - 2020-10-3054Sharks2Baby Hawks5WSommaire du Match
11 - 2020-11-0164Oceanics2Baby Hawks3WSommaire du Match
13 - 2020-11-0384Oil Kings2Baby Hawks3WSommaire du Match
17 - 2020-11-07110Monsters0Baby Hawks2WSommaire du Match
19 - 2020-11-09126Bears3Baby Hawks4WSommaire du Match
21 - 2020-11-11141Las Vegas0Baby Hawks2WSommaire du Match
23 - 2020-11-13151Phantoms5Baby Hawks4LSommaire du Match
25 - 2020-11-15161Baby Hawks5Caroline4WXXSommaire du Match
26 - 2020-11-16172Monarchs2Baby Hawks4WSommaire du Match
28 - 2020-11-18185Baby Hawks5Chill4WSommaire du Match
32 - 2020-11-22217Baby Hawks4Monarchs6LSommaire du Match
33 - 2020-11-23219Baby Hawks2Admirals4LSommaire du Match
35 - 2020-11-25234Baby Hawks3Sharks1WSommaire du Match
37 - 2020-11-27243Comets1Baby Hawks5WSommaire du Match
39 - 2020-11-29257Baby Hawks4Manchots5LSommaire du Match
40 - 2020-11-30267Marlies0Baby Hawks2WSommaire du Match
43 - 2020-12-03285Baby Hawks3Las Vegas0WSommaire du Match
46 - 2020-12-06310Baby Hawks3Chill1WSommaire du Match
47 - 2020-12-07314Crunch3Baby Hawks4WXXSommaire du Match
49 - 2020-12-09326Caroline5Baby Hawks2LSommaire du Match
51 - 2020-12-11341Thunder0Baby Hawks2WSommaire du Match
53 - 2020-12-13359Baby Hawks5Stars4WXXSommaire du Match
56 - 2020-12-16376Stars5Baby Hawks2LSommaire du Match
59 - 2020-12-19394Monsters4Baby Hawks2LSommaire du Match
60 - 2020-12-20413Baby Hawks4Monsters2WSommaire du Match
62 - 2020-12-22422Chiefs6Baby Hawks3LSommaire du Match
65 - 2020-12-25438Baby Hawks4Bruins3WSommaire du Match
66 - 2020-12-26447Baby Hawks4Spiders3WSommaire du Match
68 - 2020-12-28466Jayhawks2Baby Hawks3WSommaire du Match
70 - 2020-12-30482Baby Hawks2Las Vegas4LSommaire du Match
72 - 2021-01-01495Baby Hawks1Jayhawks3LSommaire du Match
74 - 2021-01-03513Baby Hawks0Chiefs3LSommaire du Match
75 - 2021-01-04516Minnesota2Baby Hawks3WXXSommaire du Match
78 - 2021-01-07536Monsters4Baby Hawks3LXXSommaire du Match
79 - 2021-01-08543Baby Hawks2Oceanics4LSommaire du Match
81 - 2021-01-10562Baby Hawks3Monsters2WSommaire du Match
83 - 2021-01-12578Spiders3Baby Hawks6WSommaire du Match
87 - 2021-01-16589Sound Tigers3Baby Hawks4WSommaire du Match
89 - 2021-01-18604Baby Hawks3Monsters2WSommaire du Match
91 - 2021-01-20623Baby Hawks7Heat3WSommaire du Match
93 - 2021-01-22637Baby Hawks4Comets7LSommaire du Match
96 - 2021-01-25657Cougars2Baby Hawks3WSommaire du Match
98 - 2021-01-27672Heat2Baby Hawks4WSommaire du Match
100 - 2021-01-29684Chill4Baby Hawks3LSommaire du Match
102 - 2021-01-31699Admirals1Baby Hawks4WSommaire du Match
105 - 2021-02-03720Baby Hawks0Senators5LSommaire du Match
106 - 2021-02-04725Baby Hawks5Rocket6LSommaire du Match
109 - 2021-02-07747Baby Hawks2Marlies5LSommaire du Match
110 - 2021-02-08757Oceanics6Baby Hawks1LSommaire du Match
112 - 2021-02-10765Cabaret Lady Mary Ann0Baby Hawks5WSommaire du Match
123 - 2021-02-21800Baby Hawks3Jayhawks4LSommaire du Match
126 - 2021-02-24821Baby Hawks6Minnesota2WSommaire du Match
127 - 2021-02-25826Bruins5Baby Hawks3LSommaire du Match
131 - 2021-03-01858Baby Hawks3Oceanics5LSommaire du Match
133 - 2021-03-03875Baby Hawks5Oil Kings3WSommaire du Match
134 - 2021-03-04879Baby Hawks4Comets5LXXSommaire du Match
137 - 2021-03-07903Baby Hawks5Heat2WSommaire du Match
138 - 2021-03-08914Baby Hawks2Oceanics5LSommaire du Match
141 - 2021-03-11927Wolf Pack4Baby Hawks5WSommaire du Match
143 - 2021-03-13943Chill2Baby Hawks4WSommaire du Match
145 - 2021-03-15960Baby Hawks5Stars3WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
147 - 2021-03-17976Baby Hawks0Chiefs3LSommaire du Match
149 - 2021-03-19986Baby Hawks3Thunder2WXXSommaire du Match
151 - 2021-03-211002Baby Hawks5Cabaret Lady Mary Ann1WSommaire du Match
154 - 2021-03-241025Admirals1Baby Hawks4WSommaire du Match
156 - 2021-03-261040Oil Kings4Baby Hawks5WSommaire du Match
157 - 2021-03-271044Baby Hawks2Cougars4LSommaire du Match
159 - 2021-03-291062Chiefs5Baby Hawks1LSommaire du Match
162 - 2021-04-011079Sharks1Baby Hawks4WSommaire du Match
164 - 2021-04-031095Senators2Baby Hawks3WXSommaire du Match
165 - 2021-04-041103Baby Hawks1Bears2LSommaire du Match
168 - 2021-04-071127Baby Hawks5Minnesota2WSommaire du Match
170 - 2021-04-091143Minnesota4Baby Hawks6WSommaire du Match
172 - 2021-04-111153Baby Hawks4Crunch5LXSommaire du Match
173 - 2021-04-121167Chill2Baby Hawks5WSommaire du Match
176 - 2021-04-151186Manchots2Baby Hawks6WSommaire du Match
178 - 2021-04-171202Stars4Baby Hawks8WSommaire du Match
180 - 2021-04-191217Monarchs-Baby Hawks-
182 - 2021-04-211234Rocket-Baby Hawks-
184 - 2021-04-231245Baby Hawks-Sound Tigers-
186 - 2021-04-251257Baby Hawks-Wolf Pack-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets5020
Assistance47,69126,042
Assistance PCT61.14%66.77%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
2 1891 - 63.02% 74,497$2,905,390$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,200,344$ 2,455,084$ 2,495,084$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
13,414$ 2,299,934$ 24 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
148,994$ 8 13,199$ 105,592$




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