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Firebirds
GP: 80 | W: 37 | L: 30 | OTL: 13 | P: 87
GF: 216 | GA: 224 | PP%: 34.83% | PK%: 71.35%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #1197 vs Invaders

Centre de jeu
Firebirds
37-30-13, 87pts
1
2 Grizzlies
34-34-12, 80pts
Team Stats
L1SéquenceOTL1
24-10-6Fiche domicile23-14-4
13-20-7Fiche visiteur11-20-8
2-3-5Derniers 10 matchs5-4-1
2.70Buts par match 2.81
2.80Buts contre par match 3.01
34.83%Pourcentage en avantage numérique29.65%
71.35%Pourcentage en désavantage numérique73.73%
Islanders
39-29-12, 90pts
5
1 Firebirds
37-30-13, 87pts
Team Stats
W1SéquenceL1
22-13-5Fiche domicile24-10-6
17-16-7Fiche visiteur13-20-7
2-8-0Derniers 10 matchs2-3-5
2.80Buts par match 2.70
2.81Buts contre par match 2.80
30.06%Pourcentage en avantage numérique34.83%
68.11%Pourcentage en désavantage numérique71.35%
Firebirds
37-30-13, 87pts
2026-10-31
Invaders
44-30-3, 91pts
Statistiques d’équipe
L1SéquenceW3
24-10-6Fiche domicile23-13-1
13-20-7Fiche visiteur21-17-2
2-3-510 derniers matchs6-3-1
2.70Buts par match 2.66
2.80Buts contre par match 2.66
34.83%Pourcentage en avantage numérique33.15%
71.35%Pourcentage en désavantage numérique66.12%
Invaders
44-30-3, 91pts
2026-11-06
Firebirds
37-30-13, 87pts
Statistiques d’équipe
W3SéquenceL1
23-13-1Fiche domicile24-10-6
21-17-2Fiche visiteur13-20-7
6-3-110 derniers matchs2-3-5
2.66Buts par match 2.70
2.64Buts contre par match 2.70
33.15%Pourcentage en avantage numérique34.83%
66.12%Pourcentage en désavantage numérique71.35%
Meneurs d'équipe
Buts
Makar Dargevich
37
Passes
Makar Dargevich
49
Points
Makar Dargevich
86
Plus/Moins
Makar Dargevich
9
Victoires
Mikalay Kubarew
31
Pourcentage d’arrêts
Mikalay Kubarew
0.912

Statistiques d’équipe
Buts pour
216
2.70 GFG
Tirs pour
2293
28.66 Avg
Pourcentage en avantage numérique
34.8%
62 GF
Début de zone offensive
35.8%
Buts contre
224
2.80 GAA
Tirs contre
2404
30.05 Avg
Pourcentage en désavantage numérique
71.4%%
55 GA
Début de la zone défensive
37.9%
Informations de l'équipe

Directeur général
EntraîneurKazimir Savastyanov
DivisionWestern
ConférenceAmerican
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomDesert Diamond Arena
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro20
Équipe Mineure5
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées7,353$
Compte bancaire actuel0$
Compte bancaire projeté-7,353$


Historique d'équipe

Saison actuelle37-30-13 (87PTS)
Historique0-0-0
Coupe Stanley0


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
1Florian Rautenberg (R)0X95.0072654772876671576077847757706870407201910$
2Makar Dargevich0X95.8472635773836661776980746854676361407201910$
3Beat Kogler (R)0X100.0075646485827472436666727575586774407001910$
4Jamie Huff (R)0X99.0067555377757581616174567562636358407001910$
5Marcus Knopp (R)0X100.0052656581776150616273577251577191406601610$
6Moritz Heiss (R)0X100.0072688357716869586072596250575098406601610$
7Alf Skinstad (R)0X100.0038647269496481745781357656535973406501910$
8Renzo Naef (R)0X100.0054695880767566476362537067757274406501610$
9Sam Risso (R)0X100.0055617656716360577468557273586996406401610$
10Fyodor Gabov (R)0X100.0070634879635973526456557763606967436301710$
11Joachim Jung (R)0X100.0061614772776361405657747370707382406301710$
12Lubos Kletecka0X100.0074635676767568645352648573526280407101910$
13Ivan Ochirov (R)0X100.0053516178637572756573774858596977406901610$
14Tommy Pitcairn0X100.0066636361716974746878606751626177406802010$
15Del Sabo (R)0X100.0042607681626659785972813354745264406701810$
16Geoff Kenner (R)0X100.0060747272716360606575666672646481406701610$
17Benjamin Arildsen (R)0X100.0071715171795975426453506758506196406601610$
18Del Datoff (R)0X100.0064737551657052597173457150635887406401610$
Rayé
MOYENNE D’ÉQUIPE99.44626462727267676063696269616264784067
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
1Mikalay Kubarew098.008271896558716579716561695655407202010$
2Thomas Christiansen (R)0100.007758857166776956735257605354406801910$
Rayé
MOYENNE D’ÉQUIPE99.0080658768627467687259596555554070
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kazimir Savastyanov72934892594784RUS412125,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Makar DargevichFirebirdsLW80374986930016112934710619410.66%38163220.41914232712412381245352.75%1826739211.05213000955
2Florian RautenbergFirebirdsC7032366827201931642006413016.00%45159222.7591019201091124944547.93%15943331000.85313000857
3Jamie HuffFirebirdsRW80264268-183602001622027314312.87%42162920.371019292113001151221247.52%1016243000.8307000455
4Marcus KnoppFirebirdsC75263460-112001051662156014012.09%33139018.53111223281190000102348.30%11473822010.8625000445
5Beat KoglerFirebirdsRW792018383160142126129358015.50%35151719.2155101112400041255146.32%2313433110.5049000314
6Del SaboFirebirdsD80112738-520328019192875.76%60171221.415813151220007135300%07727100.4411000241
7Alf SkinstadFirebirdsC8082634-3406114017945924.47%36126515.820225261014590044.35%5934123000.5400000101
8Ivan OchirovFirebirdsD8072532-153207310718972733.70%66170421.304711191340005134200%07931000.3800000110
9Tommy PitcairnFirebirdsD8032831-35151291169632363.13%106173121.65291131200111121200%12059000.3600000003
10Lubos KleteckaFirebirdsD7872128-1138017916611852625.93%140197025.2635891280001124200%03567000.2812000111
11Sam RissoFirebirdsLW78101626-98010511767264214.93%40141818.1847118126000011053.85%52629000.3702000010
12Moritz HeissFirebirdsRW727613000979211937455.88%30107714.9700008000012147.62%421420000.2401000010
13Joachim JungFirebirdsLW677512-42601309058134212.07%2793814.00000020001180057.14%211114000.2600000001
14Renzo NaefFirebirdsRW80561106046645218289.62%117489.3600005000002133.33%33914000.2900000100
15Benjamin ArildsenFirebirdsD8017812605962221124.55%41106813.350000100004000100.00%1527000.1500000000
16Fyodor GabovFirebirdsC78055-414069633513260%146087.8100000000050053.81%197715000.1600000000
17James GrishamFarm Team 1 (FRB)C262133202613245178.33%22118.1400000000030156.52%6954000.2800000010
18Del DatoffFirebirdsD8002260018164210%134595.7400002000014000%017000.0900000000
19Geoff KennerFirebirdsD8002218018793229120%49105213.1600001100004000%02132000.0412000000
20Phillip GrunbergFarm Team 1 (FRB)LW13101-5001619105610.00%618914.540000100003000%213000.1100000000
21Adam PodsednikFarm Team 1 (FRB)D2000000100000%1189.430000000000000%00000000000000
22Iivo VakkuriFarm Team 1 (FRB)LW2000-200404210%12914.780000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne1440210356566-65391518641971229379212599.16%8362396816.6462981601661301358401149311748.02%4267566540430.471455000342933
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
1Mikalay KubarewFirebirds723128120.9122.5742794118320691119630.66745728773
2Thomas ChristiansenFirebirds136210.9102.996030030332166000.81811872020
Statistiques d’équipe totales ou en moyenne853730130.9112.624882412132401128563568080793


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alf SkinstadFirebirdsC192009-07-05NORYes216 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Beat KoglerFirebirdsRW192009-11-19GERYes192 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Benjamin ArildsenFirebirdsD162012-04-04DENYes192 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Del DatoffFirebirdsD162012-02-28CANYes202 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Del SaboFirebirdsD182010-02-23CANYes180 Lbs5 ft11NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Florian Rautenberg (sur la masse salariale)FirebirdsC192009-08-12GERYes208 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Fyodor GabovFirebirdsC172011-01-22RUSYes192 Lbs5 ft10NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Geoff KennerFirebirdsD162012-04-14USAYes205 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Ivan OchirovFirebirdsD162012-12-13RUSYes174 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Jamie HuffFirebirdsRW192009-10-01USAYes183 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Joachim JungFirebirdsLW172011-08-06GERYes182 Lbs6 ft1NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Lubos KleteckaFirebirdsD192009-04-18CZENo188 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Makar DargevichFirebirdsLW192009-03-15RUSNo179 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Marcus KnoppFirebirdsC162012-03-16GERYes185 Lbs6 ft2NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Mikalay KubarewFirebirdsG202008-12-27BLRNo178 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Moritz HeissFirebirdsRW162012-10-18SUIYes191 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Renzo NaefFirebirdsRW162012-09-05SUIYes224 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Sam RissoFirebirdsLW162012-09-27CANYes190 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Thomas ChristiansenFirebirdsG192009-10-12DENYes217 Lbs6 ft6NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Tommy PitcairnFirebirdsD202008-12-27CANNo188 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2017.65193 Lbs6 ft21.000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
0$0$0$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Makar DargevichFlorian RautenbergBeat Kogler35122
2Sam RissoMarcus KnoppJamie Huff35122
3Joachim JungAlf SkinstadMoritz Heiss20122
4Florian RautenbergFyodor GabovRenzo Naef10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos KleteckaIvan Ochirov35122
2Tommy PitcairnDel Sabo35122
3Geoff KennerBenjamin Arildsen20122
4Del DatoffLubos Kletecka10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Makar DargevichFlorian RautenbergBeat Kogler50122
2Sam RissoMarcus KnoppJamie Huff50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos KleteckaIvan Ochirov50122
2Tommy PitcairnDel Sabo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Florian RautenbergMakar Dargevich50122
2Beat KoglerJamie Huff50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos KleteckaIvan Ochirov50122
2Tommy PitcairnDel Sabo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Florian Rautenberg50122Lubos KleteckaIvan Ochirov50122
2Makar Dargevich50122Tommy PitcairnDel Sabo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Florian RautenbergMakar Dargevich50122
2Beat KoglerJamie Huff50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Lubos KleteckaIvan Ochirov50122
2Tommy PitcairnDel Sabo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Makar DargevichFlorian RautenbergBeat KoglerLubos KleteckaIvan Ochirov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Makar DargevichFlorian RautenbergBeat KoglerLubos KleteckaIvan Ochirov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Moritz Heiss, Renzo Naef, Alf SkinstadMoritz Heiss, Renzo NaefAlf Skinstad
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Geoff Kenner, Benjamin Arildsen, Del DatoffGeoff KennerBenjamin Arildsen, Del Datoff
Tirs de pénalité
Florian Rautenberg, Makar Dargevich, Beat Kogler, Jamie Huff, Marcus Knopp
Gardien
#1 : Mikalay Kubarew, #2 : Thomas Christiansen
Lignes d’attaque personnalisées en prolongation
Florian Rautenberg, Makar Dargevich, Beat Kogler, Jamie Huff, Marcus Knopp, Moritz Heiss, Renzo Naef, Alf Skinstad, Sam Risso, Joachim Jung
Lignes de défense personnalisées en prolongation
Lubos Kletecka, Ivan Ochirov, Tommy Pitcairn, Del Sabo, Geoff Kenner


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
TotalDomicile Visiteur
# 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 RI
1Aviators2020000029-71010000014-31010000015-400.0002460001104391816069231432300.00%7442.86%0734149849.00%775158548.90%540110049.09%381843193820
2Berries21001000853110000005321000100032141.00081220002231471220141501512553266.67%6183.33%0734149849.00%775158548.90%540110049.09%371841194120
3Chill21100000761110000006421010000012-120.50071118002320701424320672616496466.67%8187.50%0734149849.00%775158548.90%540110049.09%382145183517
4Dragons200000118801000000134-11000001054130.75081321001242611519278742610594250.00%5340.00%0734149849.00%775158548.90%540110049.09%452443194120
5Fog210010001073110000005321000100054141.0001014240022516419251915516124610550.00%6266.67%0734149849.00%775158548.90%540110049.09%432442203819
6Force211000008531010000023-11100000062420.5008162400044050524210632014405240.00%7357.14%0734149849.00%775158548.90%540110049.09%381840194120
7Gators21100000541110000004221010000012-120.500591400032064152326052156476116.67%30100.00%1734149849.00%775158548.90%540110049.09%432439183619
8Grizzlies85200100261884310000013764210010013112110.688264268007118024265968102731172416620630.00%12191.67%0734149849.00%775158548.90%540110049.09%164911697314674
9Hellcats2020000028-61010000015-41010000013-200.00024610002062172223065253344300.00%11463.64%0734149849.00%775158548.90%540110049.09%402042193718
10Howlers2010000125-31000000112-11010000013-210.25022400011055819228601610474250.00%5340.00%0734149849.00%775158548.90%540110049.09%381742204422
11Invaders612003001621-53110010067-1301002001014-450.4171628440026801792453957160533415812650.00%17852.94%1734149849.00%775158548.90%540110049.09%122611186012762
12Islanders823000031721-441200001812-44110000299070.438172845001883224491017017269722818717635.29%14378.57%0734149849.00%775158548.90%540110049.09%166901727615577
13Lions21100000880110000004131010000047-320.5008152300134065152525043152546350.00%110.00%0734149849.00%775158548.90%540110049.09%432433184221
14Mammoth2020000025-31010000002-21010000023-100.00024600101058211621059341841600.00%9277.78%0734149849.00%775158548.90%540110049.09%402242193719
15Mariners2010100048-4100010002111010000027-520.500481200120165252017350191249500.00%6266.67%0734149849.00%775158548.90%540110049.09%432339194020
16Menace2010000146-21000000134-11010000012-110.2504711002111501519155441812476116.67%6266.67%0734149849.00%775158548.90%540110049.09%432240204121
17Newfies2020000026-41010000024-21010000002-200.000246100020431611160492110413133.33%5180.00%0734149849.00%775158548.90%540110049.09%381842213918
18Nighthawks2010001045-1100000102111010000024-220.500461000201164172713963281049500.00%5180.00%0734149849.00%775158548.90%540110049.09%422342203919
19Quake83200021181624200002011744120000179-2110.68818244201268219447786414208702819816531.25%14378.57%0734149849.00%775158548.90%540110049.09%164821648016685
20Raiders2110000056-1110000003211010000024-220.5005101500023066192225081251244100.00%6266.67%1734149849.00%775158548.90%540110049.09%372045193617
21Rapids21100000770110000005321010000024-220.500711180002506192131058166455360.00%30100.00%0734149849.00%775158548.90%540110049.09%442536183819
22Reapers21100000660110000004221010000024-220.50061218000330651226270722616384250.00%8187.50%0734149849.00%775158548.90%540110049.09%432440183517
23Reds21100000990110000006241010000037-420.5009152400144065182621060226474375.00%30100.00%0734149849.00%775158548.90%540110049.09%422337183919
24Reign21000010752100000104311100000032141.000710170024027226301387328457200.00%2150.00%0734149849.00%775158548.90%540110049.09%452541173719
25Spirit210000017521000000123-11100000052330.7507121900133061181924361201045300.00%5260.00%0734149849.00%775158548.90%540110049.09%412142194120
26Steelers2010010036-31010000024-21000010012-110.25035810102047151517047138354125.00%4175.00%0734149849.00%775158548.90%540110049.09%391939184121
27Storm21001000633110000003121000100032141.0006101600140150122981582214406233.33%7185.71%0734149849.00%775158548.90%540110049.09%391941193921
28Terror22000000624110000003121100000031241.000610160022204316171006176543266.67%3166.67%0734149849.00%775158548.90%540110049.09%371741204120
29Warhawks21000010743100000103211100000042241.0007101700312263251622860288506350.00%4175.00%0734149849.00%775158548.90%540110049.09%432443193719
Total80273004568216224-84018100115511499154092003413102125-23870.5442163565723137808917229357886181593240483639518641786234.83%1925571.35%3734149849.00%775158548.90%540110049.09%165087116557761582795
_Since Last GM Reset80273004568216224-84018100115511499154092003413102125-23870.5442163565723137808917229357886181593240483639518641786234.83%1925571.35%3734149849.00%775158548.90%540110049.09%165087116557761582795
_Vs Conference50191900435132130225127001326859925712003036471-7530.530132220352112351558142934054053251149652624511731164135.34%1173173.50%2734149849.00%775158548.90%540110049.09%10325461033483983494
_Vs Division301190042477761157400121383351545003033943-4340.5677712219901123132583918532831038910312114709652335.38%571573.68%1734149849.00%775158548.90%540110049.09%618325625290595299

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8087L121635657222932404836395186431
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8027304568216224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
401810115511499
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
409203413102125
Derniers 10 matchs
WLOTWOTL SOWSOL
230302
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1786234.83%1925571.35%3
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
5788618159337808917
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
734149849.00%775158548.90%540110049.09%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
165087116557761582795


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 - 2026-06-083Reapers2Firebirds4WSommaire du match
2 - 2026-06-0919Reign3Firebirds4WXXSommaire du match
4 - 2026-06-1135Quake0Firebirds1WSommaire du match
6 - 2026-06-1353Grizzlies1Firebirds3WSommaire du match
8 - 2026-06-1569Mammoth2Firebirds0LSommaire du match
9 - 2026-06-1677Firebirds2Mammoth3LSommaire du match
11 - 2026-06-1893Terror1Firebirds3WSommaire du match
13 - 2026-06-20114Firebirds1Aviators5LSommaire du match
15 - 2026-06-22130Firebirds6Force2WSommaire du match
16 - 2026-06-23138Invaders4Firebirds1LSommaire du match
18 - 2026-06-25152Berries3Firebirds5WSommaire du match
20 - 2026-06-27170Raiders2Firebirds3WSommaire du match
22 - 2026-06-29193Firebirds1Howlers3LSommaire du match
23 - 2026-06-30198Islanders2Firebirds4WSommaire du match
25 - 2026-07-02217Firebirds4Lions7LSommaire du match
27 - 2026-07-04227Firebirds2Raiders4LSommaire du match
29 - 2026-07-06248Fog3Firebirds5WSommaire du match
30 - 2026-07-07258Firebirds1Gators2LSommaire du match
32 - 2026-07-09272Firebirds1Islanders2LSommaire du match
34 - 2026-07-11290Firebirds5Grizzlies2WSommaire du match
36 - 2026-07-13304Firebirds5Invaders6LXSommaire du match
38 - 2026-07-15325Invaders1Firebirds4WSommaire du match
40 - 2026-07-17338Firebirds0Quake1LSommaire du match
41 - 2026-07-18351Firebirds1Invaders3LSommaire du match
43 - 2026-07-20364Firebirds2Quake4LSommaire du match
44 - 2026-07-21376Hellcats5Firebirds1LSommaire du match
46 - 2026-07-23393Firebirds1Hellcats3LSommaire du match
48 - 2026-07-25407Firebirds2Grizzlies3LSommaire du match
50 - 2026-07-27420Firebirds5Dragons4WXXSommaire du match
52 - 2026-07-29442Storm1Firebirds3WSommaire du match
54 - 2026-07-31460Howlers2Firebirds1LXXSommaire du match
55 - 2026-08-01476Firebirds3Reds7LSommaire du match
57 - 2026-08-03487Reds2Firebirds6WSommaire du match
59 - 2026-08-05506Firebirds3Berries2WXSommaire du match
61 - 2026-08-07518Firebirds2Rapids4LSommaire du match
62 - 2026-08-08531Dragons4Firebirds3LXXSommaire du match
64 - 2026-08-10546Firebirds3Terror1WSommaire du match
66 - 2026-08-12560Aviators4Firebirds1LSommaire du match
69 - 2026-08-15581Firebirds3Storm2WXSommaire du match
71 - 2026-08-17606Steelers4Firebirds2LSommaire du match
73 - 2026-08-19622Firebirds1Chill2LSommaire du match
75 - 2026-08-21634Gators2Firebirds4WSommaire du match
76 - 2026-08-22642Mariners1Firebirds2WXSommaire du match
78 - 2026-08-24658Grizzlies1Firebirds2WSommaire du match
79 - 2026-08-25669Firebirds5Spirit2WSommaire du match
81 - 2026-08-27687Nighthawks1Firebirds2WXXSommaire du match
83 - 2026-08-29707Firebirds2Reapers4LSommaire du match
85 - 2026-08-31719Chill4Firebirds6WSommaire du match
86 - 2026-09-01729Menace4Firebirds3LXXSommaire du match
88 - 2026-09-03741Firebirds5Grizzlies4WSommaire du match
92 - 2026-09-07774Islanders2Firebirds1LSommaire du match
93 - 2026-09-08788Warhawks2Firebirds3WXXSommaire du match
95 - 2026-09-10802Firebirds3Reign2WSommaire du match
97 - 2026-09-12818Quake1Firebirds2WSommaire du match
99 - 2026-09-14831Firebirds2Mariners7LSommaire du match
100 - 2026-09-15843Firebirds2Islanders3LXXSommaire du match
102 - 2026-09-17858Firebirds4Warhawks2WSommaire du match
104 - 2026-09-19874Firebirds1Menace2LSommaire du match
106 - 2026-09-21888Newfies4Firebirds2LSommaire du match
110 - 2026-09-25923Spirit3Firebirds2LXXSommaire du match
111 - 2026-09-26935Islanders3Firebirds2LXXSommaire du match
113 - 2026-09-28948Quake2Firebirds3WXXSommaire du match
114 - 2026-09-29964Firebirds5Fog4WXSommaire du match
116 - 2026-10-01973Firebirds2Nighthawks4LSommaire du match
118 - 2026-10-03989Firebirds3Quake1WSommaire du match
120 - 2026-10-051000Firebirds0Newfies2LSommaire du match
122 - 2026-10-071024Rapids3Firebirds5WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
124 - 2026-10-091036Firebirds4Islanders1WSommaire du match
125 - 2026-10-101042Firebirds4Invaders5LXSommaire du match
127 - 2026-10-121059Quake4Firebirds5WXXSommaire du match
128 - 2026-10-131074Lions1Firebirds4WSommaire du match
130 - 2026-10-151084Grizzlies1Firebirds6WSommaire du match
132 - 2026-10-171106Firebirds1Steelers2LXSommaire du match
134 - 2026-10-191112Force3Firebirds2LSommaire du match
135 - 2026-10-201124Invaders2Firebirds1LXSommaire du match
137 - 2026-10-221134Firebirds2Islanders3LXXSommaire du match
139 - 2026-10-241149Grizzlies4Firebirds2LSommaire du match
141 - 2026-10-261158Firebirds2Quake3LXXSommaire du match
142 - 2026-10-271172Firebirds1Grizzlies2LXSommaire du match
144 - 2026-10-291184Islanders5Firebirds1LSommaire du match
146 - 2026-10-311197Firebirds-Invaders-
152 - 2026-11-061222Invaders-Firebirds-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
1 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 0$ 0$ 125,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 9 817$ 7,353$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
7,353$ 0$ -7,353$



Charte de profondeur

Ailier gaucheCentreAilier droit
Makar DargevichAGE:19PO:61OV:72
Sam Risso (R)AGE:16PO:96OV:64
Joachim Jung (R)AGE:17PO:82OV:63
Phillip Grunberg (R)AGE:17PO:75OV:59
Iivo VakkuriAGE:17PO:92OV:58
Florian Rautenberg (R)AGE:19PO:70OV:72
Marcus Knopp (R)AGE:16PO:91OV:66
Alf Skinstad (R)AGE:19PO:73OV:65
James Grisham (R)AGE:17PO:80OV:63
Fyodor Gabov (R)AGE:17PO:67OV:63
Beat Kogler (R)AGE:19PO:74OV:70
Jamie Huff (R)AGE:19PO:58OV:70
Moritz Heiss (R)AGE:16PO:98OV:66
Renzo Naef (R)AGE:16PO:74OV:65

Défense #1Défense #2Gardien
Lubos KleteckaAGE:19PO:80OV:71
Ivan Ochirov (R)AGE:16PO:77OV:69
Tommy PitcairnAGE:20PO:77OV:68
Geoff Kenner (R)AGE:16PO:81OV:67
Del Sabo (R)AGE:18PO:64OV:67
Benjamin Arildsen (R)AGE:16PO:96OV:66
Del Datoff (R)AGE:16PO:87OV:64
Adam Podsednik (R)AGE:18PO:82OV:61
Mikalay KubarewAGE:20PO:55OV:72
Thomas Christiansen (R)AGE:19PO:54OV:68
Aleg Hushchanka (R)AGE:20PO:50OV:67

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Firebirds Historique de transactions

[6/22/2026 8:20:16 PM] New Record for Team's Most Assists (12) in 1 Game for Firebirds!



Pas de blessure ou de suspension.


Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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

Firebirds 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