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Baby Hawks
GP: 18 | W: 13 | L: 4 | OTL: 1 | P: 27
GF: 88 | GA: 65 | PP%: 35.42% | PK%: 72.50%
DG: Sylvain Doyon | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #312 vs Heat

Centre de jeu
Spiders
13-1-4, 30pts
3
FINAL
2 Baby Hawks
13-4-1, 27pts
Team Stats
W2SéquenceW1
6-0-2Fiche domicile6-2-0
7-1-2Fiche domicile7-2-1
8-0-2Derniers 10 matchs6-4-0
5.33Buts par match 4.89
4.00Buts contre par match 3.61
23.21%Pourcentage en avantage numérique35.42%
71.05%Pourcentage en désavantage numérique72.50%
Marlies
13-5-1, 27pts
5
FINAL
8 Baby Hawks
13-4-1, 27pts
Team Stats
L1SéquenceW1
9-3-1Fiche domicile6-2-0
4-2-0Fiche domicile7-2-1
7-3-0Derniers 10 matchs6-4-0
5.84Buts par match 4.89
4.42Buts contre par match 3.61
33.87%Pourcentage en avantage numérique35.42%
67.39%Pourcentage en désavantage numérique72.50%
Heat
9-10-1, 19pts
2025-11-18
Baby Hawks
13-4-1, 27pts
Statistiques d’équipe
W1SéquenceW1
4-4-1Fiche domicile6-2-0
5-6-0Fiche visiteur7-2-1
4-6-010 derniers matchs6-4-0
5.15Buts par match 4.89
5.55Buts contre par match 4.89
50.00%Pourcentage en avantage numérique35.42%
61.67%Pourcentage en désavantage numérique72.50%
Firebirds
8-6-4, 20pts
2025-11-20
Baby Hawks
13-4-1, 27pts
Statistiques d’équipe
L1SéquenceW1
2-5-3Fiche domicile6-2-0
6-1-1Fiche visiteur7-2-1
1-6-310 derniers matchs6-4-0
4.00Buts par match 4.89
3.78Buts contre par match 4.89
34.69%Pourcentage en avantage numérique35.42%
65.85%Pourcentage en désavantage numérique72.50%
Baby Hawks
13-4-1, 27pts
2025-11-21
Crunch
5-12-1, 11pts
Statistiques d’équipe
W1SéquenceW1
6-2-0Fiche domicile3-6-1
7-2-1Fiche visiteur2-6-0
6-4-010 derniers matchs3-7-0
4.89Buts par match 4.89
3.61Buts contre par match 4.89
35.42%Pourcentage en avantage numérique29.63%
72.50%Pourcentage en désavantage numérique59.68%
Meneurs d'équipe
Buts
Marat Khusnutdinov
17
Passes
Marat Khusnutdinov
20
Points
Marat Khusnutdinov
37
Plus/Moins
Kyle Masters
10
Victoires
Jakub Dobes
13
Pourcentage d’arrêts
Drew Commesso
0.885

Statistiques d’équipe
Buts pour
88
4.89 GFG
Tirs pour
553
30.72 Avg
Pourcentage en avantage numérique
35.4%
17 GF
Début de zone offensive
34.6%
Buts contre
65
3.61 GAA
Tirs contre
458
25.44 Avg
Pourcentage en désavantage numérique
72.5%%
11 GA
Début de la zone défensive
32.2%
Informations de l'équipe

Directeur généralSylvain Doyon
DivisionMid-Ouest
ConférenceOuest
Capitaine
Assistant #1Justin Holl
Assistant #2Vinni Lettieri


Informations de l’aréna

Capacité3,000
Assistance1,934
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs19


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
1Vinni Lettieri (A)XXX100.0072428075728178695563646769776805068N0292900,000$
2Marat Khusnutdinov (R)XXX100.00664083787581716866656470705550050670222925,000$
3Josh Doan (R)X100.00654180737675687049676563695550050660221925,000$
4Kieffer BellowsX100.00664173727477696846626363687160050650261900,000$
5Jake LucchiniX100.00554370686374706561636158656253050620291650,000$
6Karsen Dorwart (R)X100.0059406968747359624659596063515005061N0226900,000$
7Tim Washe (R)X100.0056406966787059624359595962515005060N0236900,000$
8Hunter McKown (R)X100.00604269666665616360615656625150050590221950,000$
9Otto Stenberg (R)X100.00614067626157545841575459585050050570193918,333$
10Bobby Trivigno (R)X100.00514366705260585641534859595350050560251925,000$
11Luke Haymes (R)X100.0061406661625856564854545757505005056N0216900,000$
12Justin Holl (A)X100.00674385747985857140676376697969050720322700,000$
13Simon Nemec (R)X100.00594577767982687140666570715650050680201950,000$
14Michael Benning (R)X100.00574366725964636440626067655150050620222916,667$
15Luca Cagnoni (R)X100.00584166696058576440626464665050050610193895,000$
16Kyle Masters (R)X100.00604069656259565540525261575050050580212865,000$
17Trey Taylor (R)X100.00604066626259575540545361575150050580223975,000$
Rayé
1Cam AtkinsonXX100.0061488175677986734368676572887805069N0351900,000$
2Josh Lopina (R)X100.00574272606565645858545351575250050560231878,333$
3Chaz Lucius (R)X100.00564068626452505452514853555050050540211925,000$
4Yaroslav Likhachyok (R)X100.00373793686256714954404342525454050510231560,000$
5Samuel Sjolund (R)X100.00373993626451743325302540315454050470231560,000$
MOYENNE D’ÉQUIPE100.0058417468676765614758566062575405061
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
1Jakub Dobes (R)100.0077686981737576757674705250050680232925,000$
2Drew Commesso (R)100.0072636763697174717269575050050630222925,000$
Rayé
1Jiri Patera (R)100.0066605967646264606363535450050580251800,000$
2Victor Östman (R)100.0063575765626162596260545150050560243870,000$
MOYENNE D’ÉQUIPE100.007062636967676966686759525005061
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
1Marat KhusnutdinovBaby Hawks (Chi)C/LW/RW1817203762210363780204321.25%637320.773698341014231162.31%2601411021.9800011442
2Vinni LettieriBaby Hawks (Chi)C/LW/RW171016269115253555304118.18%1037422.032246330110292059.91%222911001.3900010022
3Josh DoanBaby Hawks (Chi)RW181411257140482065213221.54%835419.702469320000121054.55%221411011.4100000313
4Cam AtkinsonBaby Hawks (Chi)LW/RW11101424800141651193919.61%626524.172242140001191149.09%551711011.8100000321
5Jake LucchiniBaby Hawks (Chi)C1751318823521174081512.50%628716.93246422000001163.35%19164001.2500001121
6Kieffer BellowsBaby Hawks (Chi)LW17511168315301445203311.11%729417.35033222000341022.22%9118001.0800001005
7Hunter McKownBaby Hawks (Chi)C188816920215267830.77%221712.10022312000001060.38%5332011.4700000300
8Justin HollBaby Hawks (Chi)D172810-2101016212515158.00%1345226.64224435000032110%01227000.4400110000
9Simon NemecBaby Hawks (Chi)D182810-421522224014155.00%1046425.80246436000231000%0717000.4300001000
10Tim WasheBaby Hawks (Chi)C18549-29515162281622.73%124713.7700002000032045.65%9243000.7300010011
11Karsen DorwartBaby Hawks (Chi)LW18268-42027153616245.56%727915.53000040000141050.00%1084000.5700000001
12Luca CagnoniBaby Hawks (Chi)D18347910011191761017.65%935219.59202222000018000%0413000.4000000000
13Michael BenningBaby Hawks (Chi)D18055780162016780%1335119.53000124000018000%0419000.2800000000
14Otto StenbergBaby Hawks (Chi)C183250402216218514.29%926314.6600004000031061.90%2156000.3800000100
15Luke HaymesBaby Hawks (Chi)C1813440016542525.00%11417.8500002000020061.54%1311000.5700000000
16Trey TaylorBaby Hawks (Chi)D1804476011137430%826714.880000600001000%0110000.3000000000
17Kyle MastersBaby Hawks (Chi)D18022102012112110%826014.4800001000010000%0212000.1500000000
18Josh LopinaBaby Hawks (Chi)C1011000100000%01414.950000000000000%001001.3400000000
19Yaroslav LikhachyokBaby Hawks (Chi)LW110110000101100.00%02020.380000100000010%001000.9800000000
20Bobby TrivignoBaby Hawks (Chi)LW6000100110000%0264.48000000000000100.00%10100000000000
21Samuel SjolundBaby Hawks (Chi)D1000200010000%01313.520000000000000%00300000000000
22Chaz LuciusBaby Hawks (Chi)C1000100000000%033.070000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne30588140228851754536530455320631415.91%124533017.48172946453141121022913558.80%949122176050.8600144151216
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
1Jakub DobesBaby Hawks (Chi)1813410.8563.64102101624322182000180010
2Drew CommessoBaby Hawks (Chi)20000.8853.00600032680000018000
Statistiques d’équipe totales ou en moyenne2013410.8583.60108201654582262001818010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Bobby TrivignoBaby Hawks (Chi)LW251999-01-19USAYes160 Lbs5 ft7NoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Cam Atkinson (contrat à 1 volet)Baby Hawks (Chi)LW/RW351989-06-05USANo178 Lbs5 ft8YesNoFree Agent2024-07-12YesYes12025-09-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Chaz LuciusBaby Hawks (Chi)C212003-05-02USAYes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Drew CommessoBaby Hawks (Chi)G222002-07-19USAYes181 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Hunter McKownBaby Hawks (Chi)C222002-08-18USAYes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Jake Lucchini (contrat à 1 volet)Baby Hawks (Chi)C291995-05-09CANNo174 Lbs6 ft0NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Jakub DobesBaby Hawks (Chi)G232001-05-27CZEYes215 Lbs6 ft4NoNoTrade2024-10-25NoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Jiri Patera (contrat à 1 volet)Baby Hawks (Chi)G251999-02-24CZEYes209 Lbs6 ft2NoNoFree AgentYesYes12024-09-04FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Josh DoanBaby Hawks (Chi)RW222002-02-01USAYes198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Josh LopinaBaby Hawks (Chi)C232001-02-16USAYes194 Lbs6 ft2NoNoTrade2024-09-24NoNo1FalseFalsePro & Farm878,333$0$0$No---------------------------Lien
Justin Holl (contrat à 1 volet)Baby Hawks (Chi)D321992-01-30USANo194 Lbs6 ft4NoNoFree AgentYesYes22024-09-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Karsen Dorwart (contrat à 1 volet)Baby Hawks (Chi)LW222002-09-17USAYes194 Lbs6 ft1YesNoFree AgentNoNo62025-09-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien
Kieffer Bellows (contrat à 1 volet)Baby Hawks (Chi)LW261998-06-10USANo195 Lbs6 ft1NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Kyle MastersBaby Hawks (Chi)D212003-04-09CANYes174 Lbs6 ft1NoNoTrade2025-07-16NoNo22024-06-25FalseFalsePro & Farm865,000$0$0$No865,000$--------865,000$--------No--------Lien
Luca CagnoniBaby Hawks (Chi)D192004-12-21CANYes183 Lbs5 ft9NoNoDraftNoNo32025-07-10FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------NoNo-------Lien
Luke Haymes (contrat à 1 volet)Baby Hawks (Chi)C212003-07-28CANYes192 Lbs6 ft1YesNoFree AgentNoNo62025-09-14FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien
Marat KhusnutdinovBaby Hawks (Chi)C/LW/RW222002-07-17RUSYes176 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Michael BenningBaby Hawks (Chi)D222002-01-05CANYes176 Lbs5 ft9NoNoProspectNoNo22024-06-25FalseFalsePro & Farm916,667$0$0$No916,667$--------916,667$--------No--------Lien
Otto StenbergBaby Hawks (Chi)C192005-05-29SWEYes185 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Samuel SjolundBaby Hawks (Chi)D232001-05-19SWEYes174 Lbs6 ft1NoNoTrade2025-07-16NoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Simon NemecBaby Hawks (Chi)D202004-02-15SVKYes190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Tim Washe (contrat à 1 volet)Baby Hawks (Chi)C232001-08-25USAYes215 Lbs6 ft3YesNoFree AgentNoNo62025-09-21FalseFalsePro & Farm900,000$0$0$No900,000$900,000$900,000$900,000$900,000$----900,000$900,000$900,000$900,000$900,000$----NoNoNoNoNo----Lien
Trey TaylorBaby Hawks (Chi)D222002-02-04CANYes190 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------Lien
Victor ÖstmanBaby Hawks (Chi)G242000-10-03SWEYes205 Lbs6 ft4NoNoDraftNoYes32025-07-10FalseFalsePro & Farm870,000$0$0$No870,000$870,000$-------870,000$870,000$-------NoNo-------Lien
Vinni Lettieri (contrat à 1 volet)Baby Hawks (Chi)C/LW/RW291995-02-06USANo184 Lbs5 ft10YesNoFree AgentYesYes22025-09-28FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Yaroslav LikhachyokBaby Hawks (Chi)LW232001-09-02RUSYes178 Lbs5 ft10NoNoTrade2025-02-24NoNo1FalseFalsePro & Farm560,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.65188 Lbs6 ft02.15863,013$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marat KhusnutdinovVinni LettieriJosh Doan40122
2Kieffer BellowsJake LucchiniHunter McKown30122
3Karsen DorwartTim WasheOtto Stenberg20122
4Bobby TrivignoHunter McKownVinni Lettieri10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin HollSimon Nemec40122
2Michael BenningLuca Cagnoni30122
3Trey TaylorKyle Masters20122
4Justin HollSimon Nemec10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marat KhusnutdinovVinni LettieriJosh Doan60122
2Kieffer BellowsJake LucchiniHunter McKown40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin HollSimon Nemec60122
2Michael BenningLuca Cagnoni40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Vinni LettieriMarat Khusnutdinov60122
2Josh DoanKieffer Bellows40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin HollSimon Nemec60122
2Michael BenningLuca Cagnoni40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Vinni Lettieri60122Justin HollSimon Nemec60122
2Marat Khusnutdinov40122Michael BenningLuca Cagnoni40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Vinni LettieriMarat Khusnutdinov60122
2Josh DoanKieffer Bellows40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Justin HollSimon Nemec60122
2Michael BenningLuca Cagnoni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marat KhusnutdinovVinni LettieriJosh DoanJustin HollSimon Nemec
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Marat KhusnutdinovVinni LettieriJosh DoanJustin HollSimon Nemec
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Haymes, Karsen Dorwart, Tim WasheLuke Haymes, Karsen DorwartTim Washe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trey Taylor, Kyle Masters, Michael BenningTrey TaylorKyle Masters, Michael Benning
Tirs de pénalité
Vinni Lettieri, Marat Khusnutdinov, Josh Doan, Kieffer Bellows, Jake Lucchini
Gardien
#1 : Jakub Dobes, #2 : Drew Commesso


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
1Admirals11000000431110000004310000000000021.00047110019313802914921818604011030300.00%000%019732959.88%17030655.56%19231560.95%369192359162354184
2Bruins11000000624000000000001100000062421.000611170019313803314921818602060132150.00%000%019732959.88%17030655.56%19231560.95%369192359162354184
3Cabaret Lady Mary Ann11000000532000000000001100000053221.0005712001931380221492181860265219300.00%10100.00%019732959.88%17030655.56%19231560.95%369192359162354184
4Chiefs11000000312000000000001100000031221.000358001931380311492181860219423100.00%20100.00%019732959.88%17030655.56%19231560.95%369192359162354184
5Comets22000000633110000002021100000043141.0006915011931380511492181860411221414125.00%3166.67%119732959.88%17030655.56%19231560.95%369192359162354184
6Cougars11000000945000000000001100000094521.000915240019313803414921818601214226466.67%2150.00%019732959.88%17030655.56%19231560.95%369192359162354184
7Firebirds11000000541000000000001100000054121.00059140019313803114921818602344242150.00%2150.00%019732959.88%17030655.56%19231560.95%369192359162354184
8Heat1100000010550000000000011000000105521.00010182800193138042149218186038127315360.00%10100.00%019732959.88%17030655.56%19231560.95%369192359162354184
9Marlies11000000853110000008530000000000021.0008111900193138035149218186029116216233.33%30100.00%019732959.88%17030655.56%19231560.95%369192359162354184
10Monarchs1010000034-11010000034-10000000000000.00035800193138029149218186021481611100.00%40100.00%019732959.88%17030655.56%19231560.95%369192359162354184
11Oceanics1010000016-5000000000001010000016-500.0001120019313803314921818603356020000%5180.00%019732959.88%17030655.56%19231560.95%369192359162354184
12Oil Kings1010000015-4000000000001010000015-400.00012300193138026149218186022914362150.00%220.00%019732959.88%17030655.56%19231560.95%369192359162354184
13Roadrunners11000000523110000005230000000000021.00058130019313802914921818601686132150.00%30100.00%019732959.88%17030655.56%19231560.95%369192359162354184
14Rocket11000000954110000009540000000000021.000913220019313803314921818602332517100.00%5180.00%019732959.88%17030655.56%19231560.95%369192359162354184
15Senators11000000642110000006420000000000021.000611170019313803314921818602748125120.00%4250.00%019732959.88%17030655.56%19231560.95%369192359162354184
16Spiders1010000023-11010000023-10000000000000.000224001931380291492181860328412200.00%2150.00%019732959.88%17030655.56%19231560.95%369192359162354184
17Thunder1000010056-1000000000001000010056-110.500561100193138033149218186034122153133.33%110.00%019732959.88%17030655.56%19231560.95%369192359162354184
Total181340010088652386200000392613107200100493910270.750881402280119313805531492181860458124175365481735.42%401172.50%119732959.88%17030655.56%19231560.95%369192359162354184
_Since Last GM Reset181340010088652386200000392613107200100493910270.750881402280119313805531492181860458124175365481735.42%401172.50%119732959.88%17030655.56%19231560.95%369192359162354184
_Vs Conference9810000048301822000000115676100000372512160.889487812601193138027014921818602065581213241041.67%18666.67%119732959.88%17030655.56%19231560.95%369192359162354184
_Vs Division730000002924530000000972430000002017360.4292950790119313802081492181860185525417817741.18%12466.67%119732959.88%17030655.56%19231560.95%369192359162354184

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1827W18814022855345812417536501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1813401008865
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
86200003926
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
107201004939
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
481735.42%401172.50%1
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
14921818601931380
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
19732959.88%17030655.56%19231560.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
369192359162354184


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
1 - 2025-10-071Baby Hawks5Cabaret Lady Mary Ann3WSommaire du match
3 - 2025-10-098Baby Hawks6Bruins2WSommaire du match
5 - 2025-10-1131Rocket5Baby Hawks9WSommaire du match
7 - 2025-10-1348Roadrunners2Baby Hawks5WSommaire du match
9 - 2025-10-1559Baby Hawks3Chiefs1WSommaire du match
11 - 2025-10-1774Comets0Baby Hawks2WSommaire du match
13 - 2025-10-1991Admirals3Baby Hawks4WSommaire du match
17 - 2025-10-23113Baby Hawks5Thunder6LXSommaire du match
20 - 2025-10-26144Monarchs4Baby Hawks3LSommaire du match
22 - 2025-10-28160Senators4Baby Hawks6WSommaire du match
24 - 2025-10-30174Baby Hawks1Oceanics6LSommaire du match
26 - 2025-11-01192Baby Hawks1Oil Kings5LSommaire du match
28 - 2025-11-03202Baby Hawks5Firebirds4WSommaire du match
30 - 2025-11-05216Baby Hawks4Comets3WSommaire du match
32 - 2025-11-07229Baby Hawks10Heat5WSommaire du match
34 - 2025-11-09244Baby Hawks9Cougars4WSommaire du match
37 - 2025-11-12268Spiders3Baby Hawks2LSommaire du match
40 - 2025-11-15291Marlies5Baby Hawks8WSommaire du match
43 - 2025-11-18312Heat-Baby Hawks-
45 - 2025-11-20325Firebirds-Baby Hawks-
46 - 2025-11-21331Baby Hawks-Crunch-
48 - 2025-11-23350Monsters-Baby Hawks-
51 - 2025-11-26370Minnesota-Baby Hawks-
53 - 2025-11-28389Jayhawks-Baby Hawks-
55 - 2025-11-30403Admirals-Baby Hawks-
57 - 2025-12-02419Baby Hawks-Las Vegas-
59 - 2025-12-04435Baby Hawks-Monarchs-
61 - 2025-12-06449Baby Hawks-Monarchs-
62 - 2025-12-07460Baby Hawks-Admirals-
65 - 2025-12-10476Wolf Pack-Baby Hawks-
67 - 2025-12-12493Baby Hawks-Chiefs-
68 - 2025-12-13504Cougars-Baby Hawks-
71 - 2025-12-16520Baby Hawks-Marlies-
73 - 2025-12-18536Baby Hawks-Rocket-
75 - 2025-12-20551Baby Hawks-Senators-
78 - 2025-12-23583Phantoms-Baby Hawks-
82 - 2025-12-27596Baby Hawks-Stars-
83 - 2025-12-28604Manchots-Baby Hawks-
85 - 2025-12-30620Sound Tigers-Baby Hawks-
87 - 2026-01-01637Stars-Baby Hawks-
89 - 2026-01-03652Baby Hawks-Bears-
90 - 2026-01-04661Las Vegas-Baby Hawks-
93 - 2026-01-07679Chiefs-Baby Hawks-
95 - 2026-01-09694Bears-Baby Hawks-
96 - 2026-01-10707Baby Hawks-Jayhawks-
98 - 2026-01-12722Oil Kings-Baby Hawks-
101 - 2026-01-15745Heat-Baby Hawks-
103 - 2026-01-17763Bruins-Baby Hawks-
105 - 2026-01-19776Oceanics-Baby Hawks-
108 - 2026-01-22796Baby Hawks-Caroline-
109 - 2026-01-23803Thunder-Baby Hawks-
111 - 2026-01-25823Cabaret Lady Mary Ann-Baby Hawks-
113 - 2026-01-27837Baby Hawks-Minnesota-
115 - 2026-01-29850Baby Hawks-Manchots-
116 - 2026-01-30858Monsters-Baby Hawks-
119 - 2026-02-02881Sags-Baby Hawks-
121 - 2026-02-04894Baby Hawks-Monsters-
143 - 2026-02-26926Baby Hawks-Jayhawks-
145 - 2026-02-28938Baby Hawks-Monsters-
146 - 2026-03-01949Baby Hawks-Roadrunners-
148 - 2026-03-03964Baby Hawks-Oceanics-
151 - 2026-03-06985Comets-Baby Hawks-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081004Baby Hawks-Stars-
154 - 2026-03-091010Roadrunners-Baby Hawks-
157 - 2026-03-121037Baby Hawks-Roadrunners-
159 - 2026-03-141056Baby Hawks-Las Vegas-
162 - 2026-03-171072Minnesota-Baby Hawks-
164 - 2026-03-191088Baby Hawks-Minnesota-
165 - 2026-03-201096Monsters-Baby Hawks-
167 - 2026-03-221113Jayhawks-Baby Hawks-
169 - 2026-03-241124Baby Hawks-Sound Tigers-
171 - 2026-03-261142Baby Hawks-Phantoms-
172 - 2026-03-271151Baby Hawks-Wolf Pack-
174 - 2026-03-291171Baby Hawks-Spiders-
176 - 2026-03-311186Oceanics-Baby Hawks-
178 - 2026-04-021200Baby Hawks-Oil Kings-
180 - 2026-04-041221Baby Hawks-Firebirds-
182 - 2026-04-061231Baby Hawks-Sags-
185 - 2026-04-091255Caroline-Baby Hawks-
187 - 2026-04-111266Chiefs-Baby Hawks-
189 - 2026-04-131288Crunch-Baby Hawks-
191 - 2026-04-151305Sags-Baby Hawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance10,0345,438
Assistance PCT62.71%67.98%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-6 1934 - 64.47% 91,569$732,552$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
316,274$ 1,488,833$ 1,488,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,714$ 316,274$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,021,777$ 152 7,714$ 1,172,528$




Baby Hawks Leaders statistiques des joueurs (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 des joueurs (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