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Connexion

Baby Hawks
GP: 39 | W: 28 | L: 9 | OTL: 2 | P: 58
GF: 195 | GA: 127 | PP%: 30.43% | PK%: 68.83%
DG: Sylvain Doyon | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #637 vs Stars

Centre de jeu
Manchots
23-13-2, 48pts
4
FINAL
5 Baby Hawks
28-9-2, 58pts
Team Stats
W1SéquenceW2
12-7-0Fiche domicile14-4-1
11-6-2Fiche domicile14-5-1
6-4-0Derniers 10 matchs7-3-0
4.29Buts par match 5.00
3.58Buts contre par match 3.26
25.62%Pourcentage en avantage numérique30.43%
68.60%Pourcentage en désavantage numérique68.83%
Sound Tigers
19-15-6, 44pts
3
FINAL
7 Baby Hawks
28-9-2, 58pts
Team Stats
L4SéquenceW2
10-6-5Fiche domicile14-4-1
9-9-1Fiche domicile14-5-1
5-5-0Derniers 10 matchs7-3-0
4.08Buts par match 5.00
4.13Buts contre par match 3.26
28.30%Pourcentage en avantage numérique30.43%
62.50%Pourcentage en désavantage numérique68.83%
Stars
30-7-3, 63pts
2026-01-01
Baby Hawks
28-9-2, 58pts
Statistiques d’équipe
W4SéquenceW2
16-3-1Fiche domicile14-4-1
14-4-2Fiche visiteur14-5-1
8-1-110 derniers matchs7-3-0
5.05Buts par match 5.00
3.18Buts contre par match 5.00
70.54%Pourcentage en avantage numérique30.43%
75.00%Pourcentage en désavantage numérique68.83%
Baby Hawks
28-9-2, 58pts
2026-01-03
Bears
19-20-1, 39pts
Statistiques d’équipe
W2SéquenceL1
14-4-1Fiche domicile8-12-1
14-5-1Fiche visiteur11-8-0
7-3-010 derniers matchs5-5-0
5.00Buts par match 4.33
3.26Buts contre par match 4.33
30.43%Pourcentage en avantage numérique39.45%
68.83%Pourcentage en désavantage numérique70.75%
Las Vegas
14-20-4, 32pts
2026-01-04
Baby Hawks
28-9-2, 58pts
Statistiques d’équipe
W6SéquenceW2
8-10-2Fiche domicile14-4-1
6-10-2Fiche visiteur14-5-1
6-2-210 derniers matchs7-3-0
3.92Buts par match 5.00
4.68Buts contre par match 5.00
28.05%Pourcentage en avantage numérique30.43%
60.98%Pourcentage en désavantage numérique68.83%
Meneurs d'équipe
Buts
Marat Khusnutdinov
38
Passes
Vinni Lettieri
42
Points
Marat Khusnutdinov
72
Plus/Moins
Vinni Lettieri
33
Victoires
Jakub Dobes
28
Pourcentage d’arrêts
Jakub Dobes
0.874

Statistiques d’équipe
Buts pour
195
5.00 GFG
Tirs pour
1261
32.33 Avg
Pourcentage en avantage numérique
30.4%
35 GF
Début de zone offensive
35.9%
Buts contre
127
3.26 GAA
Tirs contre
989
25.36 Avg
Pourcentage en désavantage numérique
68.8%%
24 GA
Début de la zone défensive
32.7%
Informations de l'équipe

Directeur généralSylvain Doyon
DivisionMid-Ouest
ConférenceOuest
CapitaineCam Atkinson
Assistant #1
Assistant #2Vinni Lettieri


Informations de l’aréna

Capacité3,000
Assistance1,941
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 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
1Cam Atkinson (C)XX100.0061488175677986734368676572887805069N0351900,000$
2Vinni Lettieri (A)XXX100.0072428075728178695563646769776805068N0292900,000$
3Marat Khusnutdinov (R)XXX100.00664083787581716866656470705550050670222925,000$
4Josh Doan (R)X100.00654180737675687049676563695550050660221925,000$
5Kieffer BellowsX100.00664173727477696846626363687160050650261900,000$
6Jake LucchiniX100.00554370686374706561636158656253050620291650,000$
7Karsen Dorwart (R)X100.0059406968747359624659596063515005061N0226900,000$
8Tim Washe (R)X100.0056406966787059624359595962515005060N0236900,000$
9Hunter McKown (R)X100.00604269666665616360615656625150050590221950,000$
10Otto Stenberg (R)X100.00614067626157545841575459585050050570193918,333$
11Bobby Trivigno (R)X100.00514366705260585641534859595350050560251925,000$
12Henry Thrun (R)X100.00655579758486757140696573705950050700231650,000$
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
1Josh Lopina (R)X100.00574272606565645858545351575250050560231878,333$
2Luke Haymes (R)X100.0061406661625856564854545757505005056N0216900,000$
3Chaz Lucius (R)X100.00564068626452505452514853555050050540211925,000$
4Yaroslav Likhachyok (R)X100.00373793686256714954404342525454050510231560,000$
5Samuel Sjolund (R)X100.00373993626451743325302540315454050470231560,000$
MOYENNE D’ÉQUIPE100.0058427468676765614758566062565305061
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/RW393834722924106665164529423.17%1180720.709112022921015493357.47%4353222031.7801011962
2Vinni LettieriBaby Hawks (Chi)C/LW/RW382442663330107871145589616.55%1687122.925111617870110595160.41%6822627001.5201110283
3Josh DoanBaby Hawks (Chi)RW39332558201807043145437022.76%1275119.27471116790000214063.04%462816011.5411000635
4Cam AtkinsonBaby Hawks (Chi)LW/RW31193352282554939150449712.67%1567021.6423514610001332245.65%923923011.5511100464
5Jake LucchiniBaby Hawks (Chi)C38132538153010555576143217.11%1165817.344610864000002161.33%4371113001.1501002233
6Kieffer BellowsBaby Hawks (Chi)LW3812223415415763397325512.37%1867017.64033464000351042.86%211917001.0101001125
7Simon NemecBaby Hawks (Chi)D39429331129551478733414.60%26104326.7538119103000363100%01539000.6301001002
8Justin HollChicagoD335222712272532495930408.47%3088326.7655101285000059110%02346000.6100212001
9Karsen DorwartBaby Hawks (Chi)LW39121527620673585335214.12%959715.32000080002223052.94%171613000.9000000304
10Tim WasheBaby Hawks (Chi)C391111225115494070154615.71%556014.37000050001172046.61%2211310000.7900010011
11Hunter McKownBaby Hawks (Chi)C39111021720381249132922.45%640710.44022314000002057.95%8867011.0300000310
12Luca CagnoniBaby Hawks (Chi)D393121524200394126131611.54%2074119.01202256000026000%0629000.4000000001
13Michael BenningBaby Hawks (Chi)D39111122317538303111163.23%2875119.28101359000035000%01034000.3200001000
14Otto StenbergBaby Hawks (Chi)C3956111040442930151716.67%1352113.3600006000052043.48%46717000.4200000101
15Henry ThrunBaby Hawks (Chi)D2006668016171611160%2336018.01000117000020000%0721000.3300000000
16Trey TaylorBaby Hawks (Chi)D390661880182518790%1455514.250000900002000%0121000.2200000000
17Luke HaymesBaby Hawks (Chi)C1914550016642525.00%11528.0300003000020062.50%2411000.6600000000
18Kyle MastersBaby Hawks (Chi)D24044164015164110%1333914.1500001000011000%0212000.2400000000
19Bobby TrivignoBaby Hawks (Chi)LW2721324014932266.67%01746.4500000000000033.33%322000.3400000000
20Josh LopinaBaby Hawks (Chi)C1011000100000%01414.950000000000000%001001.3400000000
21Yaroslav LikhachyokBaby Hawks (Chi)LW110110000101100.00%02020.380000100000010%001000.9800000000
22Samuel SjolundBaby Hawks (Chi)D1000200010000%01313.520000000000000%00300000000000
23Chaz LuciusBaby Hawks (Chi)C1000100000000%033.070000100000000%00000000000000
Statistiques d’équipe totales ou en moyenne66219531951428930480832663126042973515.48%2711156917.483556911118261121543928957.24%2112264375060.8927448313032
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)3928920.8743.22225301121957475400.5717390011
2Drew CommessoBaby Hawks (Chi)30000.8443.23930053280000039000
Statistiques d’équipe totales ou en moyenne4228920.8733.222346011269894834073939011


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
Henry ThrunBaby Hawks (Chi)D232001-03-12USAYes210 Lbs6 ft2NoNoTrade2025-11-19NoNo1FalseFalsePro & Farm650,000$0$0$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
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
2623.31188 Lbs6 ft02.12861,090$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cam AtkinsonMarat KhusnutdinovVinni Lettieri40122
2Kieffer BellowsJake LucchiniJosh Doan30122
3Karsen DorwartTim WasheHunter McKown20122
4Bobby TrivignoOtto StenbergCam Atkinson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunSimon Nemec40122
2Michael BenningLuca Cagnoni30122
3Kyle MastersTrey Taylor20122
4Henry ThrunSimon Nemec10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cam AtkinsonMarat KhusnutdinovVinni Lettieri60122
2Kieffer BellowsJake LucchiniJosh Doan40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunSimon Nemec60122
2Michael BenningLuca Cagnoni40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cam AtkinsonVinni Lettieri60122
2Marat KhusnutdinovJosh Doan40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunSimon Nemec60122
2Michael BenningLuca Cagnoni40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Cam Atkinson60122Henry ThrunSimon Nemec60122
2Vinni Lettieri40122Michael BenningLuca Cagnoni40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cam AtkinsonVinni Lettieri60122
2Marat KhusnutdinovJosh Doan40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry ThrunSimon Nemec60122
2Michael BenningLuca Cagnoni40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cam AtkinsonVinni LettieriMarat KhusnutdinovHenry ThrunSimon Nemec
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cam AtkinsonVinni LettieriMarat KhusnutdinovHenry ThrunSimon Nemec
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Otto Stenberg, Karsen Dorwart, Tim WasheOtto Stenberg, Karsen DorwartTim Washe
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Masters, Trey Taylor, Michael BenningKyle MastersTrey Taylor, Michael Benning
Tirs de pénalité
Cam Atkinson, Vinni Lettieri, Marat Khusnutdinov, Josh Doan, Kieffer Bellows
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
1Admirals3300000014592200000010461100000041361.0001424380054716931033924394289892806711218.18%000%042475855.94%39169256.50%39566359.58%823440765347759401
2Bruins11000000624000000000001100000062421.000611170054716933339243942892060132150.00%000%042475855.94%39169256.50%39566359.58%823440765347759401
3Cabaret Lady Mary Ann11000000532000000000001100000053221.0005712005471693223924394289265219300.00%10100.00%042475855.94%39169256.50%39566359.58%823440765347759401
4Chiefs22000000853000000000002200000085341.0008152300547169368392439428947151047200.00%5180.00%042475855.94%39169256.50%39566359.58%823440765347759401
5Comets22000000633110000002021100000043141.0006915015471693513924394289411221414125.00%3166.67%142475855.94%39169256.50%39566359.58%823440765347759401
6Cougars22000000197121100000010371100000094541.00019325100547169372392439428943811498562.50%3166.67%042475855.94%39169256.50%39566359.58%823440765347759401
7Crunch11000000936000000000001100000093621.0009152400547169340392439428920910166350.00%000%042475855.94%39169256.50%39566359.58%823440765347759401
8Firebirds220000001073110000005321100000054141.0001019290054716936639243942895086467228.57%3166.67%042475855.94%39169256.50%39566359.58%823440765347759401
9Heat2200000016791100000062411000000105541.000162844005471693693924394289602324478337.50%2150.00%042475855.94%39169256.50%39566359.58%823440765347759401
10Jayhawks11000000835110000008350000000000021.0008132100547169337392439428918423226233.33%4175.00%042475855.94%39169256.50%39566359.58%823440765347759401
11Las Vegas1010000023-1000000000001010000023-100.000224005471693363924394289276416200.00%20100.00%042475855.94%39169256.50%39566359.58%823440765347759401
12Manchots11000000541110000005410000000000021.00059140054716933039243942894210424200.00%2150.00%042475855.94%39169256.50%39566359.58%823440765347759401
13Marlies220000001266110000008531100000041341.000121931005471693623924394289601712448225.00%60100.00%042475855.94%39169256.50%39566359.58%823440765347759401
14Minnesota1000000123-11000000123-10000000000010.500246005471693423924394289205434000%20100.00%042475855.94%39169256.50%39566359.58%823440765347759401
15Monarchs32100000187111010000034-1220000001531240.6671829470054716939039243942896012265210550.00%8187.50%042475855.94%39169256.50%39566359.58%823440765347759401
16Monsters1010000045-11010000045-10000000000000.0004610005471693343924394289326221100.00%10100.00%042475855.94%39169256.50%39566359.58%823440765347759401
17Oceanics1010000016-5000000000001010000016-500.0001120054716933339243942893356020000%5180.00%042475855.94%39169256.50%39566359.58%823440765347759401
18Oil Kings1010000015-4000000000001010000015-400.00012300547169326392439428922914362150.00%220.00%042475855.94%39169256.50%39566359.58%823440765347759401
19Phantoms10001000431100010004310000000000021.0004711005471693313924394289206618500.00%3166.67%042475855.94%39169256.50%39566359.58%823440765347759401
20Roadrunners11000000523110000005230000000000021.00058130054716932939243942891686132150.00%30100.00%042475855.94%39169256.50%39566359.58%823440765347759401
21Rocket211000001192110000009541010000024-220.50011162700547169353392439428945102931300.00%7185.71%042475855.94%39169256.50%39566359.58%823440765347759401
22Senators220000001073110000006421100000043141.00010162600547169369392439428952810419222.22%5340.00%042475855.94%39169256.50%39566359.58%823440765347759401
23Sound Tigers11000000734110000007340000000000021.00071118005471693343924394289271223222100.00%10100.00%042475855.94%39169256.50%39566359.58%823440765347759401
24Spiders1010000023-11010000023-10000000000000.000224005471693293924394289328412200.00%2150.00%042475855.94%39169256.50%39566359.58%823440765347759401
25Stars1010000024-2000000000001010000024-200.00023500547169333392439428933106235120.00%330.00%042475855.94%39169256.50%39566359.58%823440765347759401
26Thunder1000010056-1000000000001000010056-110.500561100547169333392439428934122153133.33%110.00%042475855.94%39169256.50%39566359.58%823440765347759401
27Wolf Pack1010000036-31010000036-30000000000000.00035800547169336392439428920106352150.00%330.00%042475855.94%39169256.50%39566359.58%823440765347759401
Total39279011011951276819134010019962372014500100966531580.744195319514015471693126139243942899892723048341153530.43%772468.83%142475855.94%39169256.50%39566359.58%823440765347759401
_Since Last GM Reset39279011011951276819134010019962372014500100966531580.744195319514015471693126139243942899892723048341153530.43%772468.83%142475855.94%39169256.50%39566359.58%823440765347759401
_Vs Conference2014500001103673686100001462422128400000574314290.7251031712740154716936493924394289484130166448571831.58%381268.42%142475855.94%39169256.50%39566359.58%823440765347759401
_Vs Division1461000016737306200000126131384100000412417130.4646711318001547169344139243942893499895305441431.82%20670.00%142475855.94%39169256.50%39566359.58%823440765347759401

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3958W2195319514126198927230483401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
392791101195127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1913410019962
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2014501009665
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1153530.43%772468.83%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
39243942895471693
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
42475855.94%39169256.50%39566359.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
823440765347759401


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 - 2025-11-18312Heat2Baby Hawks6WSommaire du match
45 - 2025-11-20325Firebirds3Baby Hawks5WSommaire du match
46 - 2025-11-21331Baby Hawks9Crunch3WSommaire du match
48 - 2025-11-23350Monsters5Baby Hawks4LSommaire du match
51 - 2025-11-26370Minnesota3Baby Hawks2LXXSommaire du match
53 - 2025-11-28389Jayhawks3Baby Hawks8WSommaire du match
55 - 2025-11-30403Admirals1Baby Hawks6WSommaire du match
57 - 2025-12-02419Baby Hawks2Las Vegas3LSommaire du match
59 - 2025-12-04435Baby Hawks9Monarchs2WSommaire du match
61 - 2025-12-06449Baby Hawks6Monarchs1WSommaire du match
62 - 2025-12-07460Baby Hawks4Admirals1WSommaire du match
65 - 2025-12-10476Wolf Pack6Baby Hawks3LSommaire du match
67 - 2025-12-12493Baby Hawks5Chiefs4WSommaire du match
68 - 2025-12-13504Cougars3Baby Hawks10WSommaire du match
71 - 2025-12-16520Baby Hawks4Marlies1WSommaire du match
73 - 2025-12-18536Baby Hawks2Rocket4LSommaire du match
75 - 2025-12-20551Baby Hawks4Senators3WSommaire du match
78 - 2025-12-23583Phantoms3Baby Hawks4WXSommaire du match
82 - 2025-12-27596Baby Hawks2Stars4LSommaire du match
83 - 2025-12-28604Manchots4Baby Hawks5WSommaire du match
85 - 2025-12-30620Sound Tigers3Baby Hawks7WSommaire du match
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
Assistance23,92712,946
Assistance PCT62.97%68.14%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-17 1941 - 64.69% 91,912$1,746,324$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
678,724$ 1,553,833$ 1,553,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,051$ 678,724$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,022,059$ 107 8,051$ 861,457$




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