Connexion

Baby Hawks
GP: 73 | W: 44 | L: 20 | OTL: 9 | P: 97
GF: 265 | GA: 215 | PP%: 22.99% | PK%: 85.15%
DG: Sylvain Doyon | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #1182 vs Stars
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Centre de jeu
Baby Hawks
44-20-9, 97pts
4
FINAL
5 Minnesota
32-35-6, 70pts
Team Stats
W1StreakW2
23-8-5Home Record21-14-2
21-12-4Away Record11-21-4
7-1-2Last 10 Games7-3-0
3.63Buts par match 3.10
2.95Buts contre par match 3.36
22.99%Pourcentage en avantage numérique21.93%
85.15%Pourcentage en désavantage numérique79.78%
Comets
36-30-7, 79pts
1
FINAL
3 Baby Hawks
44-20-9, 97pts
Team Stats
L2StreakW1
19-14-3Home Record23-8-5
17-16-4Away Record21-12-4
5-4-1Last 10 Games7-1-2
3.51Buts par match 3.63
3.44Buts contre par match 2.95
18.06%Pourcentage en avantage numérique22.99%
78.51%Pourcentage en désavantage numérique85.15%
Stars
51-18-4, 106pts
2023-03-28
Baby Hawks
44-20-9, 97pts
Statistiques d’équipe
W1SéquenceW1
26-9-2Fiche domicile23-8-5
25-9-2Fiche visiteur21-12-4
5-3-210 derniers matchs7-1-2
3.64Buts par match 3.63
2.29Buts contre par match 3.63
19.55%Pourcentage en avantage numérique22.99%
85.96%Pourcentage en désavantage numérique85.15%
Chiefs
27-34-12, 66pts
2023-03-30
Baby Hawks
44-20-9, 97pts
Statistiques d’équipe
W2SéquenceW1
14-15-7Fiche domicile23-8-5
13-19-5Fiche visiteur21-12-4
6-3-110 derniers matchs7-1-2
3.18Buts par match 3.63
3.97Buts contre par match 3.63
24.17%Pourcentage en avantage numérique22.99%
75.86%Pourcentage en désavantage numérique85.15%
Spiders
51-20-2, 104pts
2023-04-01
Baby Hawks
44-20-9, 97pts
Statistiques d’équipe
W3SéquenceW1
29-6-2Fiche domicile23-8-5
22-14-0Fiche visiteur21-12-4
8-2-010 derniers matchs7-1-2
3.79Buts par match 3.63
2.49Buts contre par match 3.63
25.38%Pourcentage en avantage numérique22.99%
80.31%Pourcentage en désavantage numérique85.15%
Meneurs d'équipe
Buts
John-Jason Peterka
38
Passes
Jack Studnicka
46
Points
John-Jason Peterka
77
Plus/Moins
Pavel Dorofeyev
19
Victoires
Erik Portillo
41
Pourcentage d’arrêts
Jiri Patera
0.974

Statistiques d’équipe
Buts pour
265
3.63 GFG
Tirs pour
2847
39.00 Avg
Pourcentage en avantage numérique
23.0%
60 GF
Début de zone offensive
42.7%
Buts contre
215
2.95 GAA
Tirs contre
2363
32.37 Avg
Pourcentage en désavantage numérique
85.2%%
34 GA
Début de la zone défensive
38.2%
Informations de l'équipe

Directeur généralSylvain Doyon
DivisionMid-Ouest
ConférenceOuest
CapitaineArtem Anisimov
Assistant #1
Assistant #2Kevin Stenlund


Informations de l’aréna

Capacité3,000
Assistance1,890
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs20


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
1Artem Anisimov (C)XX100.006242958175585569567256625979810506403351,750,000$
2Arthur Kaliyev (R)XX100.00635286797263867525637159635555050640202925,000$
3Devin ShoreXX100.007944937975556958606159767567680506402731,250,000$
4Cole Perfetti (R)XX100.00734399796667616826736060254545050620194925,000$
5John-Jason Peterka (R)XXX100.00746987766963636780646665634444050620194855,833$
6Jack StudnickaXX100.00764391806563695876655568254747050610222769,168$
7Kevin Stenlund (A)XX100.00828185718163646176595770545353050610251750,000$
8Adam RuzickaXXX100.00734490747756635874647158254646050600222801,666$
9Pavel Dorofeyev (R)XX100.00696384726369706550596762644444050600202925,000$
10Ben McCartney (R)X100.00686771766760606150566260594444050580204813,333$
11Lukas Reichel (R)XX100.00554099756465616853595562254545050580194925,000$
12Philippe Daoust (R)XX100.00726491696439365366574460424444050520196600,000$
13Victor Soderstrom (R)X100.00734288786470686425394774254545050620202894,167$
14William LagessonX100.00776488727760606125514770255050050610253800,000$
15Nick SeelerX100.008289816877625358254447772547470506102822,000,000$
16Yegor Zamula (R)X100.00654287686869735925394778254545050610212756,667$
17Declan Chisholm (R)X100.00767188677165675725495163484444050590213815,000$
18Brinson Pasichnuk (R)X100.00757490677455584625373762374444050550231925,000$
Rayé
1Bobby Trivigno (R)XXX100.00655784635738355063484756454444050490224925,000$
2Dmitri SamorukovX100.00747376657355565125464161394444050560221825,000$
3Cameron CrottyX100.00757086637062674525334160394444050550222925,000$
4Wyatt NewpowerX100.00767773607756594625364161394444050550233800,000$
MOYENNE D’ÉQUIPE100.0072608772706062594553536542484905059
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 SPÂgeContratSalaire moyen
1Erik Portillo (R)100.0060827592536057595557585858050620214700,000$
2Jiri Patera (R)100.0055425380605853595958304444050560222800,000$
Rayé
1Jacob Ingham (R)100.00444050784544454945454544440504802151,000,000$
2Ryan Fanti (R)100.0044405079454445494545454444050480224883,750$
MOYENNE D’ÉQUIPE100.005151578251525054515145484805054
Nom de l’entraîneur 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
1John-Jason PeterkaBaby Hawks (Chi)C/LW/RW69383977980201101552976817612.79%14138920.13101121511980000126161.94%105100011.1126112936
2Adam RuzickaBaby Hawks (Chi)C/LW/RW7327325913261078712186215212.39%10127417.46791649202000074256.12%9800000.9300101255
3Jack StudnickaBaby Hawks (Chi)C/RW7310465611260114165215551724.65%16133718.3221315342050111344059.95%123100000.8411000132
4Pavel DorofeyevBaby Hawks (Chi)LW/RW73202646192007184205641639.76%2107914.785611271120001252155.43%9200000.8502000262
5Victor SoderstromBaby Hawks (Chi)D70133245640010189140601079.29%102165223.61549571920331175100.00%000000.5400000243
6Kevin StenlundBaby Hawks (Chi)C/RW7314304454715141149159491348.81%15112615.4301131111251963156.91%103500010.7800120310
7Nick SeelerBaby Hawks (Chi)D7312284016110401865412336679.76%85152920.95257441570003149200.00%000000.5200332117
8Cole PerfettiBaby Hawks (Chi)C/LW4693039-414038101140381076.43%386318.7731114421420002192129.21%26700000.9001000111
9Yegor ZamulaBaby Hawks (Chi)D7362935-41605942109401005.50%105154921.223811301580002172120.00%000000.4500000111
10William LagessonBaby Hawks (Chi)D7382533462101196112148706.61%94160321.973912541960112169020.00%000000.4100011120
11Arthur KaliyevBaby Hawks (Chi)LW/RW3114122641153448151381059.27%261819.944262898000062130.16%6300110.8434001330
12Declan ChisholmBaby Hawks (Chi)D736202612641097438425537.14%72125717.231562897000054100.00%000000.4100011303
13Lukas ReichelBaby Hawks (Chi)LW/RW73197263207761415010413.48%682611.320000102023922042.14%14000000.6300000140
14Artem AnisimovBaby Hawks (Chi)C/LW3071320500216960164711.67%663021.0325712940000243154.75%66300000.6304000011
15Ben McCartneyBaby Hawks (Chi)LW648816-4120625410038788.00%16049.450111160002323047.17%5300000.5300000000
16Devin ShoreBaby Hawks (Chi)C/LW2796155155294970237812.86%346417.211013110002721054.67%36400010.6503001201
17Dmitri SamorukovBaby Hawks (Chi)D5651015145715841846112710.87%5288815.86145962000045000.00%000000.3400111300
18Brinson PasichnukBaby Hawks (Chi)D27033419521105740.00%2735913.3101108000017000.00%000000.1700001000
19Philippe DaoustBaby Hawks (Chi)C/LW45033-4602932206120.00%33437.63000130000650051.76%36900000.1700000000
20Bobby TrivignoBaby Hawks (Chi)C/LW/RW22000-200645150.00%11105.0200000000040066.67%1200000.00%00000000
Statistiques d’équipe totales ou en moyenne114422539962411262713514071374240973517619.34%6191950817.0549951444731981369241382371255.65%543800140.646217911353532
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
1Erik PortilloBaby Hawks (Chi)71411980.9063.0140908020521720510.75020710423
2Jiri PateraBaby Hawks (Chi)83110.9740.883432151900000.5004271200
Statistiques d’équipe totales ou en moyenne79442090.9112.8444331012102362051247371623


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 moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam RuzickaBaby Hawks (Chi)C/LW/RW221999-05-11No202 Lbs6 ft4NoNoNo2Pro & Farm801,666$80,167$0$0$No801,666$Lien
Artem Anisimov (contrat à 1 volet)Baby Hawks (Chi)C/LW331988-05-23No199 Lbs6 ft4NoNoYes5Pro & Farm1,750,000$175,000$850,000$85,000$No1,750,000$1,750,000$1,750,000$1,750,000$Lien
Arthur KaliyevBaby Hawks (Chi)LW/RW202001-06-25Yes190 Lbs6 ft2NoNoNo2Pro & Farm925,000$92,500$0$0$No925,000$Lien
Ben McCartneyBaby Hawks (Chi)LW202001-07-13Yes183 Lbs6 ft0NoNoNo4Pro & Farm813,333$81,333$0$0$No813,333$813,333$813,333$Lien
Bobby TrivignoBaby Hawks (Chi)C/LW/RW221999-01-19Yes161 Lbs5 ft8NoNoNo4Pro & Farm925,000$92,500$0$0$No925,000$925,000$925,000$
Brinson PasichnukBaby Hawks (Chi)D231997-11-23Yes205 Lbs6 ft0NoNoNo1Pro & Farm925,000$92,500$0$0$NoLien
Cameron CrottyBaby Hawks (Chi)D221999-05-05No182 Lbs6 ft3NoNoNo2Pro & Farm925,000$92,500$0$0$No925,000$Lien
Cole PerfettiBaby Hawks (Chi)C/LW192002-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm925,000$92,500$0$0$No925,000$925,000$925,000$Lien
Declan ChisholmBaby Hawks (Chi)D212000-01-12Yes190 Lbs6 ft1NoNoNo3Pro & Farm815,000$81,500$0$0$No815,000$815,000$Lien
Devin Shore (contrat à 1 volet)Baby Hawks (Chi)C/LW271994-07-19No206 Lbs6 ft1NoNoYes3Pro & Farm1,250,000$125,000$350,000$35,000$No1,250,000$1,250,000$Lien
Dmitri SamorukovBaby Hawks (Chi)D221999-06-16No198 Lbs6 ft2NoNoNo1Pro & Farm825,000$82,500$0$0$NoLien
Erik PortilloBaby Hawks (Chi)G212000-09-03Yes225 Lbs6 ft6NoNoNo4Pro & Farm700,000$70,000$0$0$No700,000$700,000$700,000$Lien
Jack StudnickaBaby Hawks (Chi)C/RW221999-02-18No171 Lbs6 ft1NoNoNo2Pro & Farm769,168$76,917$0$0$No769,168$Lien
Jacob InghamBaby Hawks (Chi)G212000-06-09Yes186 Lbs6 ft4NoNoNo5Pro & Farm1,000,000$100,000$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$Lien
Jiri PateraBaby Hawks (Chi)G221999-02-24Yes209 Lbs6 ft2NoNoNo2Pro & Farm800,000$80,000$0$0$No800,000$Lien
John-Jason PeterkaBaby Hawks (Chi)C/LW/RW192002-01-14Yes192 Lbs5 ft11NoNoNo4Pro & Farm855,833$85,583$0$0$No855,833$855,833$855,833$Lien
Kevin StenlundBaby Hawks (Chi)C/RW251996-09-20No215 Lbs6 ft4NoNoYes1Pro & Farm750,000$75,000$0$0$NoLien
Lukas ReichelBaby Hawks (Chi)LW/RW192002-05-17Yes170 Lbs6 ft0NoNoNo4Pro & Farm925,000$92,500$0$0$No925,000$925,000$925,000$Lien
Nick Seeler (contrat à 1 volet)Baby Hawks (Chi)D281993-06-03No201 Lbs6 ft2NoNoYes2Pro & Farm1,000,000$200,000$1,100,000$110,000$No1,000,000$Lien
Pavel DorofeyevBaby Hawks (Chi)LW/RW202000-10-26Yes167 Lbs6 ft1NoNoNo2Pro & Farm925,000$92,500$0$0$No925,000$Lien
Philippe DaoustBaby Hawks (Chi)C/LW192001-11-05Yes170 Lbs6 ft0YesNoNo6Pro & Farm600,000$60,000$0$0$No600,000$600,000$600,000$600,000$600,000$Lien
Ryan FantiBaby Hawks (Chi)G221999-10-03Yes194 Lbs6 ft3NoNoNo4Pro & Farm883,750$88,375$0$0$No883,750$883,750$883,750$
Victor SoderstromBaby Hawks (Chi)D202001-02-26Yes179 Lbs5 ft11NoNoNo2Pro & Farm894,167$89,417$0$0$No894,167$Lien
William LagessonBaby Hawks (Chi)D251996-02-22No207 Lbs6 ft2NoNoYes3Pro & Farm800,000$80,000$0$0$No800,000$800,000$Lien
Wyatt NewpowerBaby Hawks (Chi)D231997-12-09No207 Lbs6 ft3NoNoNo3Pro & Farm800,000$80,000$0$0$No800,000$800,000$Lien
Yegor ZamulaBaby Hawks (Chi)D212000-03-30Yes176 Lbs6 ft3NoNoNo2Pro & Farm756,667$75,667$0$0$No756,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2622.23191 Lbs6 ft22.96897,676$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arthur KaliyevArtem AnisimovJohn-Jason Peterka40122
2Cole PerfettiDevin ShoreKevin Stenlund30122
3Pavel DorofeyevJack StudnickaAdam Ruzicka20122
4Lukas ReichelPhilippe DaoustArtem Anisimov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SoderstromWilliam Lagesson40122
2Nick SeelerYegor Zamula30122
3Declan ChisholmBrinson Pasichnuk20122
4Victor SoderstromWilliam Lagesson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arthur KaliyevArtem AnisimovJohn-Jason Peterka60122
2Cole PerfettiJack StudnickaAdam Ruzicka40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Declan ChisholmWilliam Lagesson60122
2Nick SeelerVictor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kevin StenlundDevin Shore60122
2Philippe DaoustLukas Reichel40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SoderstromWilliam Lagesson60122
2Nick SeelerYegor Zamula40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kevin Stenlund60122Victor SoderstromWilliam Lagesson60122
2Devin Shore40122Nick SeelerYegor Zamula40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Artem AnisimovArthur Kaliyev60122
2Devin ShoreJohn-Jason Peterka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor SoderstromWilliam Lagesson60122
2Nick SeelerYegor Zamula40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Arthur KaliyevArtem AnisimovJohn-Jason PeterkaDeclan ChisholmWilliam Lagesson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Devin ShoreJack StudnickaKevin StenlundNick SeelerYegor Zamula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Ruzicka, Jack Studnicka, Pavel DorofeyevPavel Dorofeyev, Lukas ReichelPavel Dorofeyev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Declan Chisholm, Brinson Pasichnuk, Nick SeelerDeclan ChisholmBrinson Pasichnuk, Nick Seeler
Tirs de pénalité
Artem Anisimov, Arthur Kaliyev, Devin Shore, John-Jason Peterka, Cole Perfetti
Gardien
#1 : Erik Portillo, #2 : Jiri Patera


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
TotalDomicileVisiteur
# 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
1Admirals321000001174110000004132110000076140.6671121320097897112125893947982506824236410110.00%9188.89%11455265754.76%1287237654.17%672119456.28%190713421576524953493
2Bears22000000615110000004131100000020241.000691501978971126289394798250499123710220.00%50100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
3Bruins210000016601000000123-11100000043130.750612180097897112106893947982505722156114321.43%50100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
4Cabaret Lady Mary Ann220000001248110000008171100000043141.00012233500978971121328939479825077151259000.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
5Caroline2010000148-41000000134-11010000014-310.250461000978971126589394798250613012355120.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
6Chiefs311001001112-11000010023-12110000099030.500111728009789711210189394798250951824728225.00%12558.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
7Chill320000011073210000017611100000031250.833101727009789711293893947982501082114658225.00%50100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
8Comets21000010523110000003121000001021141.00056110097897112658939479825063156439222.22%30100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
9Cougars201010007701010000034-11000100043120.50071320009789711256893947982507227195910110.00%7357.14%01455265754.76%1287237654.17%672119456.28%190713421576524953493
10Crunch210010001073100010006511100000042241.000101727009789711299893947982507711175110220.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
11Heat22000000532110000002111100000032141.0005813009789711285893947982506617124710330.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
12Jayhawks412001001113-22020000047-32100010076130.37511193000978971121668939479825012534208115213.33%10280.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
13Las Vegas33000000185132200000011381100000072561.0001831490097897112147893947982508217297213430.77%7185.71%01455265754.76%1287237654.17%672119456.28%190713421576524953493
14Manchots11000000642110000006420000000000021.00061117009789711239893947982503047135360.00%10100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
15Marlies2110000078-11010000024-21100000054120.5007121910978971125689394798250772263457228.57%120100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
16Minnesota320001001495110000005322100010096350.833142640009789711215589394798250882210599555.56%50100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
17Monarchs31101000121202110000078-11000100054140.66712213300978971121348939479825010526305812433.33%14378.57%01455265754.76%1287237654.17%672119456.28%190713421576524953493
18Monsters210001001073110000007341000010034-130.750101626009789711270893947982508022153510330.00%50100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
19Monsters3300000016791100000062422000000105561.0001631470097897112135893947982507529185212433.33%8187.50%01455265754.76%1287237654.17%672119456.28%190713421576524953493
20Oceanics403000101017-72010001057-220200000510-520.2501018280097897112140893947982501543940771317.69%19289.47%11455265754.76%1287237654.17%672119456.28%190713421576524953493
21Oil Kings3100100111101210010007521000000145-150.8331117280097897112116893947982509133506112325.00%14378.57%11455265754.76%1287237654.17%672119456.28%190713421576524953493
22Phantoms11000000422000000000001100000042221.000481200978971123189394798250229623200.00%30100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
23Rocket211000007611010000024-21100000052320.500712190097897112818939479825054134427228.57%20100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
24Seattle22000000954220000009540000000000041.0009172600978971128389394798250431248408225.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
25Senators21100000862110000006151010000025-320.5008142200978971126389394798250761951456233.33%40100.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
26Sharks3110100012111110000005322010100078-140.6671222340097897112108893947982501172658617228.57%13192.31%01455265754.76%1287237654.17%672119456.28%190713421576524953493
27Sound Tigers2010010069-31000010034-11010000035-210.2506101600978971127789394798250671723365120.00%9188.89%01455265754.76%1287237654.17%672119456.28%190713421576524953493
28Spiders1010000023-1000000000001010000023-100.0002350097897112238939479825037101418200.00%6183.33%11455265754.76%1287237654.17%672119456.28%190713421576524953493
29Stars3120000058-3110000003122020000027-520.333571200978971121028939479825010543176910110.00%6183.33%01455265754.76%1287237654.17%672119456.28%190713421576524953493
30Thunder2020000025-31010000002-21010000023-100.0002350097897112528939479825077162142700.00%8275.00%01455265754.76%1287237654.17%672119456.28%190713421576524953493
31Wolf Pack21000010844110000005231000001032141.000810180097897112808939479825065131646500.00%7271.43%01455265754.76%1287237654.17%672119456.28%190713421576524953493
Total7336200553426521550362080221313798393716120332112811711970.6642654577221197897112284789394798250236363570615682616022.99%2293485.15%41455265754.76%1287237654.17%672119456.28%190713421576524953493
_Since Last GM Reset7336200553426521550362080221313798393716120332112811711970.6642654577221197897112284789394798250236363570615682616022.99%2293485.15%41455265754.76%1287237654.17%672119456.28%190713421576524953493
_Vs Conference38218033121451063919114021017449251910401211715714550.724145250395009789711215888939479825011743362988421383424.64%1042179.81%11455265754.76%1287237654.17%672119456.28%190713421576524953493
_Vs Division2182012008355281251001004827219310110035287200.47683143226009789711286389394798250635170256446812125.93%721184.72%21455265754.76%1287237654.17%672119456.28%190713421576524953493

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7397W126545772228472363635706156811
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7336205534265215
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36208221313798
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3716123321128117
Derniers 10 matchs
WLOTWOTL SOWSOL
710101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2616022.99%2293485.15%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
8939479825097897112
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
1455265754.76%1287237654.17%672119456.28%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
190713421576524953493


Derniers matchs 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
6 - 2022-10-128Baby Hawks6Monsters2AWSommaire du match
7 - 2022-10-1319Baby Hawks7Las Vegas2AWSommaire du match
9 - 2022-10-1538Baby Hawks3Sharks2AWXSommaire du match
15 - 2022-10-2172Cougars4Baby Hawks3BLSommaire du match
17 - 2022-10-2387Seattle3Baby Hawks4BWSommaire du match
19 - 2022-10-25103Cabaret Lady Mary Ann1Baby Hawks8BWSommaire du match
21 - 2022-10-27116Oil Kings2Baby Hawks3BWXSommaire du match
23 - 2022-10-29133Baby Hawks4Crunch2AWSommaire du match
24 - 2022-10-30140Minnesota3Baby Hawks5BWSommaire du match
26 - 2022-11-01152Sound Tigers4Baby Hawks3BLXSommaire du match
28 - 2022-11-03168Monarchs6Baby Hawks4BLSommaire du match
30 - 2022-11-05177Baby Hawks2Oceanics6ALSommaire du match
35 - 2022-11-10220Baby Hawks5Monarchs4AWXSommaire du match
37 - 2022-11-12234Baby Hawks5Admirals3AWSommaire du match
39 - 2022-11-14246Caroline4Baby Hawks3BLXXSommaire du match
41 - 2022-11-16258Chiefs3Baby Hawks2BLXSommaire du match
44 - 2022-11-19278Baby Hawks4Bruins3AWSommaire du match
45 - 2022-11-20290Manchots4Baby Hawks6BWSommaire du match
48 - 2022-11-23313Baby Hawks2Stars4ALSommaire du match
50 - 2022-11-25320Rocket4Baby Hawks2BLSommaire du match
52 - 2022-11-27342Oceanics6Baby Hawks3BLSommaire du match
55 - 2022-11-30364Oil Kings3Baby Hawks4BWSommaire du match
58 - 2022-12-03387Baby Hawks3Wolf Pack2AWXXSommaire du match
59 - 2022-12-04396Baby Hawks3Sound Tigers5ALSommaire du match
61 - 2022-12-06403Baby Hawks2Spiders3ALSommaire du match
64 - 2022-12-09428Oceanics1Baby Hawks2BWXXSommaire du match
68 - 2022-12-13463Bears1Baby Hawks4BWSommaire du match
70 - 2022-12-15478Las Vegas1Baby Hawks6BWSommaire du match
71 - 2022-12-16481Baby Hawks5Minnesota1AWSommaire du match
73 - 2022-12-18499Wolf Pack2Baby Hawks5BWSommaire du match
76 - 2022-12-21521Chill2Baby Hawks4BWSommaire du match
78 - 2022-12-23540Monsters3Baby Hawks7BWSommaire du match
82 - 2022-12-27548Baby Hawks1Caroline4ALSommaire du match
84 - 2022-12-29568Baby Hawks3Chiefs6ALSommaire du match
86 - 2022-12-31584Baby Hawks3Monsters4ALXSommaire du match
87 - 2023-01-01592Sharks3Baby Hawks5BWSommaire du match
89 - 2023-01-03605Thunder2Baby Hawks0BLSommaire du match
92 - 2023-01-06625Jayhawks4Baby Hawks2BLSommaire du match
94 - 2023-01-08641Heat1Baby Hawks2BWSommaire du match
98 - 2023-01-12671Monsters2Baby Hawks6BWSommaire du match
100 - 2023-01-14687Seattle2Baby Hawks5BWSommaire du match
103 - 2023-01-17709Crunch5Baby Hawks6BWXSommaire du match
105 - 2023-01-19719Baby Hawks4Phantoms2AWSommaire du match
107 - 2023-01-21741Baby Hawks6Chiefs3AWSommaire du match
108 - 2023-01-22747Monarchs2Baby Hawks3BWSommaire du match
110 - 2023-01-24765Baby Hawks2Comets1AWXXSommaire du match
112 - 2023-01-26777Baby Hawks3Heat2AWSommaire du match
114 - 2023-01-28798Baby Hawks4Oil Kings5ALXXSommaire du match
124 - 2023-02-07818Admirals1Baby Hawks4BWSommaire du match
127 - 2023-02-10830Jayhawks3Baby Hawks2BLSommaire du match
128 - 2023-02-11844Baby Hawks3Oceanics4ALSommaire du match
131 - 2023-02-14856Baby Hawks5Rocket2AWSommaire du match
132 - 2023-02-15864Baby Hawks5Marlies4AWSommaire du match
134 - 2023-02-17878Baby Hawks2Senators5ALSommaire du match
136 - 2023-02-19899Marlies4Baby Hawks2BLSommaire du match
138 - 2023-02-21915Las Vegas2Baby Hawks5BWSommaire du match
139 - 2023-02-22918Baby Hawks0Stars3ALSommaire du match
142 - 2023-02-25946Baby Hawks4Sharks6ALSommaire du match
144 - 2023-02-27957Baby Hawks2Admirals3ALSommaire du match
145 - 2023-02-28966Baby Hawks3Jayhawks4ALXSommaire du match
147 - 2023-03-02980Stars1Baby Hawks3BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-04998Chill4Baby Hawks3BLXXSommaire du match
151 - 2023-03-061009Senators1Baby Hawks6BWSommaire du match
153 - 2023-03-081023Baby Hawks4Cougars3AWXSommaire du match
155 - 2023-03-101036Baby Hawks4Cabaret Lady Mary Ann3AWSommaire du match
156 - 2023-03-111042Baby Hawks2Thunder3ALSommaire du match
159 - 2023-03-141070Bruins3Baby Hawks2BLXXSommaire du match
161 - 2023-03-161085Baby Hawks3Chill1AWSommaire du match
163 - 2023-03-181106Baby Hawks4Jayhawks2AWSommaire du match
165 - 2023-03-201117Baby Hawks4Monsters3AWSommaire du match
168 - 2023-03-231135Baby Hawks2Bears0AWSommaire du match
170 - 2023-03-251155Baby Hawks4Minnesota5ALXSommaire du match
171 - 2023-03-261168Comets1Baby Hawks3BWSommaire du match
173 - 2023-03-281182Stars-Baby Hawks-
175 - 2023-03-301196Chiefs-Baby Hawks-
177 - 2023-04-011211Spiders-Baby Hawks-
180 - 2023-04-041236Baby Hawks-Heat-
182 - 2023-04-061254Baby Hawks-Comets-
184 - 2023-04-081271Baby Hawks-Seattle-
186 - 2023-04-101281Minnesota-Baby Hawks-
187 - 2023-04-111286Baby Hawks-Manchots-
189 - 2023-04-131306Phantoms-Baby Hawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance44,41623,615
Assistance PCT61.69%65.60%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
5 1890 - 62.99% 74,808$2,693,100$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,965,863$ 4,016,459$ 4,016,459$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
21,139$ 1,965,863$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
374,042$ 19 21,139$ 401,641$




Baby Hawks Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Baby Hawks Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Baby Hawks Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Baby Hawks Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Baby Hawks Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA