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Firebirds
GP: 9 | W: 6 | L: 3 | OTL: 0 | P: 12
GF: 44 | GA: 30 | PP%: 11.76% | PK%: 82.35%
DG: Ron Giovanni | Morale : 53 | Moyenne d’équipe : 65
Prochains matchs #113 vs Griffins

Centre de jeu
Firebirds
6-3-0, 12pts
7
FINAL
5 Orlando Solar Bears
1-7-1, 3pts
Team Stats
L1SéquenceL2
3-1-0Fiche domicile0-4-0
3-2-0Fiche domicile1-3-1
6-3-0Derniers 10 matchs1-7-1
4.89Buts par match 2.78
3.33Buts contre par match 5.67
11.76%Pourcentage en avantage numérique13.04%
82.35%Pourcentage en désavantage numérique83.33%
Firebirds
6-3-0, 12pts
3
FINAL
5 Wombats
6-2-0, 12pts
Team Stats
L1SéquenceW1
3-1-0Fiche domicile5-0-0
3-2-0Fiche domicile1-2-0
6-3-0Derniers 10 matchs6-2-0
4.89Buts par match 6.13
3.33Buts contre par match 4.50
11.76%Pourcentage en avantage numérique21.43%
82.35%Pourcentage en désavantage numérique57.89%
Griffins
3-4-1, 7pts
Jour 20
Firebirds
6-3-0, 12pts
Statistiques d’équipe
W2SéquenceL1
3-1-1Fiche domicile3-1-0
0-3-0Fiche visiteur3-2-0
3-4-110 derniers matchs6-3-0
5.38Buts par match 4.89
4.75Buts contre par match 4.89
26.32%Pourcentage en avantage numérique11.76%
78.26%Pourcentage en désavantage numérique82.35%
Firebirds
6-3-0, 12pts
Jour 22
Griffins
3-4-1, 7pts
Statistiques d’équipe
L1SéquenceW2
3-1-0Fiche domicile3-1-1
3-2-0Fiche visiteur0-3-0
6-3-010 derniers matchs3-4-1
4.89Buts par match 5.38
3.33Buts contre par match 5.38
11.76%Pourcentage en avantage numérique26.32%
82.35%Pourcentage en désavantage numérique78.26%
Admirals
3-5-0, 6pts
Jour 25
Firebirds
6-3-0, 12pts
Statistiques d’équipe
W1SéquenceL1
2-3-0Fiche domicile3-1-0
1-2-0Fiche visiteur3-2-0
3-5-010 derniers matchs6-3-0
2.88Buts par match 4.89
4.63Buts contre par match 4.89
40.00%Pourcentage en avantage numérique11.76%
87.50%Pourcentage en désavantage numérique82.35%
Meneurs d'équipe
Eric RobinsonButs
Eric Robinson
5
Peyton KrebsPasses
Peyton Krebs
9
Peyton KrebsPoints
Peyton Krebs
13
Eric RobinsonPlus/Moins
Eric Robinson
7
Joey DaccordVictoires
Joey Daccord
3
Joey DaccordPourcentage d’arrêts
Joey Daccord
0.883

Statistiques d’équipe
Buts pour
44
4.89 GFG
Tirs pour
349
38.78 Avg
Pourcentage en avantage numérique
11.8%
2 GF
Début de zone offensive
41.6%
Buts contre
30
3.33 GAA
Tirs contre
260
28.89 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralRon Giovanni
EntraîneurPeter DeBoer
DivisionMetropolitan
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure20
Limite contact 38 / 50
Espoirs24


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
1Kyle PalmieriX100.006457837168815975507468726281790546703512,000,000$
2Trevor MooreX100.006755936869798371506966757373730546703132,000,000$
3Thomas NovakX99.00515686736875927460716760537070056660291500,000$
4Conor GarlandX98.006262847356808467506965705671710536503041,000,000$
5Eric RobinsonX100.00755693677969796950616669517371057650313500,000$
6Peyton KrebsX99.00806379686774927261716263506365059650253500,000$
7Ross ColtonX100.00796393666971846660656061527270055630301500,000$
8Tanner PearsonX100.00746280667468716750626069507875054630341500,000$
9Danton HeinenX100.00715782666769666850616163507370056610313500,000$
10Damon SeversonX100.00646472697378867450706069567674056670323500,000$
11Jalen ChatfieldX100.006358866375768668506350785573750546703041,000,000$
12Nick BlankenburgX100.00675692716171777250676271566970057660281500,000$
13Tony DeAngeloX100.00606181716775897450735265567272056660304500,000$
14Timothy LiljegrenX100.00686574667176696850635076556870056650271500,000$
15Noah JuulsenX100.00786689627265706750605072557171057640291500,000$
16Josh MahuraX100.00695886596967576150535071556971054610282500,000$
Rayé
MOYENNE D’ÉQUIPE99.7568608567697378705266596955727205665
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
1Joey Daccord100.0077838175727977727564737375055730301500,000$
2Carter Hart97.0068696973727165696665686969054670281500,000$
Rayé
MOYENNE D’ÉQUIPE98.507376757472757171716571717205570
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer8080858080841CAN564500,000$


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
1Peyton KrebsFirebirds (NYR)C7491362027182551116.00%116123.1000001000032055.19%18300001.6100000210
2Eric RobinsonFirebirds (NYR)LW756117001171861527.78%413118.73000013000070042.86%700001.6800000012
3Thomas NovakFirebirds (NYR)C736960001223102113.04%117024.2900029000051039.29%2800001.0600000111
4Tony DeAngeloFirebirds (NYR)D717822015551520.00%614420.6010131100009000%000001.1100000010
5Nick BlankenburgFirebirds (NYR)D7257260162101120.00%1014020.1001121100006010%000001.0000000002
6Conor GarlandFirebirds (NYR)RW7336-30079367298.33%017725.2900048000000033.33%900000.6800000000
7Trevor MooreFirebirds (NYR)LW7066-300512214160%215221.780114140000140083.33%1200000.7900000010
8Damon SeversonFirebirds (NYR)D7235120191094722.22%1216824.05000412000011000%000000.5900000010
9Timothy LiljegrenFirebirds (NYR)D71452009352120.00%911015.780000000005000%000000.9100000100
10Kyle PalmieriFirebirds (NYR)C7325-4007132452512.50%115121.611013140000130149.50%20200000.6600000100
11Ross ColtonFirebirds (NYR)C732532084133323.08%09413.4400000000000050.89%11200001.0600000100
12Danton HeinenFirebirds (NYR)LW722430094132815.38%010314.74000090000010100.00%300000.7800000100
13Jalen ChatfieldFirebirds (NYR)D70221401343140%814020.10011312000010000%000000.2800000000
14Noah JuulsenFirebirds (NYR)D70222115922230%310515.000000000001000%000000.3800100000
15Tanner PearsonFirebirds (NYR)LW720200058951122.22%09313.3600000000000033.33%600000.4300000000
16Josh MahuraFirebirds (NYR)D7000000131110%3334.740000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne112315990252951611162175916114.29%60207618.54235251160000894251.60%56200000.8700100765
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
1Joey DaccordFirebirds (NYR)53200.8833.2129900161370000052000
2Carter HartFirebirds (NYR)21100.8555.001200010690000025000
Statistiques d’équipe totales ou en moyenne74300.8743.724190026206000077000


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
Carter HartFirebirds (NYR)G281998-08-13CANNo196 Lbs6 ft2NoNoDraftNoNo12026-06-24FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Conor GarlandFirebirds (NYR)RW301996-03-11CANNo165 Lbs5 ft10NoNoFree AgentNoNo42026-07-04FalseFalsePro & Farm1,000,000$100,000$90,816$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Damon SeversonFirebirds (NYR)D321994-08-07CANNo204 Lbs6 ft2NoNoFree Agent2025-03-08NoNo32025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Danton HeinenFirebirds (NYR)LW311995-07-05CANNo187 Lbs6 ft2NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Eric RobinsonFirebirds (NYR)LW311995-06-14CANNo220 Lbs6 ft2NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Jalen ChatfieldFirebirds (NYR)D301996-05-15CANNo209 Lbs6 ft1NoNoFree AgentNoNo42026-07-04FalseFalsePro & Farm1,000,000$100,000$90,816$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------NoNoNo------Lien / Lien NHL
Joey DaccordFirebirds (NYR)G301996-08-19CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Josh MahuraFirebirds (NYR)D281998-05-05CANNo193 Lbs6 ft0NoNoFree AgentNoNo22026-07-13FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Kyle PalmieriFirebirds (NYR)C351991-02-01CANNo192 Lbs6 ft0NoNoTrade2025-07-16NoNo12024-08-27FalseFalsePro & Farm2,000,000$200,000$181,633$No---------------------------Lien / Lien NHL
Nick BlankenburgFirebirds (NYR)D281998-05-12CANNo177 Lbs5 ft9NoNoTrade2025-07-14NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Noah JuulsenFirebirds (NYR)D291997-04-02CANNo201 Lbs6 ft2NoNoFree AgentNoNo12026-07-08FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Peyton KrebsFirebirds (NYR)C252001-01-26CANNo188 Lbs6 ft0NoNoFree Agent2025-07-16NoNo32025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ross ColtonFirebirds (NYR)C301996-09-11CANNo194 Lbs6 ft0NoNoFree Agent2025-07-14NoNo12025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Tanner PearsonFirebirds (NYR)LW341992-08-10CANNo207 Lbs6 ft1NoNoTrade2025-07-13NoNo12025-03-28FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Thomas NovakFirebirds (NYR)C291997-04-28CANNo190 Lbs6 ft1NoNoFree AgentNoNo12025-07-28FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Timothy LiljegrenFirebirds (NYR)D271999-04-30CANNo200 Lbs6 ft1NoNoTrade2025-06-29NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Tony DeAngeloFirebirds (NYR)D301995-10-24CANNo190 Lbs6 ft0NoNoFree AgentNoNo42026-07-04FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Trevor MooreFirebirds (NYR)LW311995-03-31CANNo195 Lbs5 ft11NoNoFree AgentNoNo32025-07-23FalseFalsePro & Farm2,000,000$200,000$181,633$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1829.89195 Lbs6 ft12.11722,222$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trevor MooreKyle PalmieriConor Garland40122
2Eric RobinsonPeyton KrebsThomas Novak30122
3Tanner PearsonPeyton KrebsThomas Novak20122
4Danton HeinenRoss ColtonConor Garland10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonJalen Chatfield40122
2Tony DeAngeloNick Blankenburg30122
3Timothy LiljegrenNoah Juulsen20122
4Josh MahuraDamon Severson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trevor MooreKyle PalmieriEric Robinson60122
2Conor GarlandThomas NovakDanton Heinen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonJalen Chatfield60122
2Tony DeAngeloNick Blankenburg40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kyle PalmieriTrevor Moore60122
2Thomas NovakEric Robinson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonJalen Chatfield60122
2Tony DeAngeloNick Blankenburg40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Kyle Palmieri60122Damon SeversonJalen Chatfield60122
2Thomas Novak40122Tony DeAngeloNick Blankenburg40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kyle PalmieriTrevor Moore60122
2Thomas NovakEric Robinson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Damon SeversonJalen Chatfield60122
2Tony DeAngeloNick Blankenburg40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trevor MooreKyle PalmieriConor GarlandDamon SeversonJalen Chatfield
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trevor MooreKyle PalmieriConor GarlandDamon SeversonJalen Chatfield
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peyton Krebs, Eric Robinson, Tanner PearsonPeyton Krebs, Eric RobinsonPeyton Krebs
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Timothy Liljegren, Noah Juulsen, Josh MahuraTimothy LiljegrenTimothy Liljegren, Noah Juulsen
Tirs de pénalité
Trevor Moore, Kyle Palmieri, Thomas Novak, Conor Garland, Peyton Krebs
Gardien
#1 : Carter Hart, #2 : Joey Daccord


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
1Admirals11000000514000000000001100000051421.0005101500201860241171171150239219000%10100.00%017030755.37%12726248.47%8216948.52%2391741885911259
2Broncos21100000660211000006600000000000020.50061117002018605811711711504512450400.00%20100.00%017030755.37%12726248.47%8216948.52%2391741885911259
3Laval Rocket1010000057-2000000000001010000057-200.00051015002018603911711711503212421200.00%2150.00%017030755.37%12726248.47%8216948.52%2391741885911259
4Orlando Solar Bears33000000209111100000050522000000159661.00020395901201860157117117115073141863700.00%9277.78%017030755.37%12726248.47%8216948.52%2391741885911259
5Wombats21100000871110000005231010000035-220.5008152300201860711171171150872511504250.00%30100.00%017030755.37%12726248.47%8216948.52%2391741885911259
Total963000004430144310000016885320000028226120.6674485129012018603491171171150260723920317211.76%17382.35%017030755.37%12726248.47%8216948.52%2391741885911259
_Since Last GM Reset963000004430144310000016885320000028226120.6674485129012018603491171171150260723920317211.76%17382.35%017030755.37%12726248.47%8216948.52%2391741885911259
_Vs Conference963000004430144310000016885320000028226120.6674485129012018603491171171150260723920317211.76%17382.35%017030755.37%12726248.47%8216948.52%2391741885911259
_Vs Division862000003923164310000016884310000023158120.7503975114012018603101171171150228603518215213.33%15286.67%017030755.37%12726248.47%8216948.52%2391741885911259

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
912L14485129349260723920301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
96300004430
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4310000168
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
53200002822
Derniers 10 matchs
WLOTWOTL SOWSOL
630000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
17211.76%17382.35%0
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
1171171150201860
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
17030755.37%12726248.47%8216948.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2391741885911259


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
211Firebirds8Orlando Solar Bears4WSommaire du match
420Orlando Solar Bears0Firebirds5WSommaire du match
635Broncos3Firebirds4WSommaire du match
843Firebirds5Laval Rocket7LSommaire du match
952Firebirds5Admirals1WSommaire du match
1267Broncos3Firebirds2LSommaire du match
1581Wombats2Firebirds5WSommaire du match
1792Firebirds7Orlando Solar Bears5WSommaire du match
1897Firebirds3Wombats5LSommaire du match
20113Griffins-Firebirds-
22123Firebirds-Griffins-
25138Admirals-Firebirds-
28150Orlando Solar Bears-Firebirds-
29158Firebirds-Fighting Pandas-
31165Firebirds-Broncos-
34183Lynx-Firebirds-
37199Griffins-Firebirds-
41219Firebirds-Barons-
43228Bruins-Firebirds-
45239Firebirds-Lions-
47250Bruins-Firebirds-
49255Firebirds-Fighting Pandas-
51267Firebirds-Wranglers-
53277Firebirds-Americiens-
54286Barracuda-Firebirds-
57302Barons-Firebirds-
60317Firebirds-Tomahawks-
62329Lynx-Firebirds-
65345Aces-Firebirds-
67358Firebirds-Quacken-
69371Ice Bats-Firebirds-
71383Firebirds-Canucks-
73393Laval Rocket-Firebirds-
74399Firebirds-Laval Rocket-
76414Firebirds-Admirals-
79423Canucks-Firebirds-
82441Marlies-Firebirds-
84452Firebirds-Aces-
86465Marlies-Firebirds-
89477Firebirds-Ice Bats-
91487Fighting Pandas-Firebirds-
93501Firebirds-Broncos-
95513Firebirds-Roadrunners-
96520Firebirds-Barracuda-
97523Fighting Pandas-Firebirds-
102543Laval Rocket-Firebirds-
105558Firebirds-Newfoundland Regiment-
107568Wranglers-Firebirds-
110585Americiens-Firebirds-
114608Lions-Firebirds-
115612Firebirds-Admirals-
118630Nordiks-Firebirds-
120643Firebirds-Aces-
122652Admirals-Firebirds-
124659Firebirds-Nordiks-
127679Orlando Solar Bears-Firebirds-
129690Firebirds-Bruins-
131699Firebirds-Lynx-
133705Firebirds-Laval Rocket-
134711Roadrunners-Firebirds-
138731Wombats-Firebirds-
140743Firebirds-Lynx-
142754Barons-Firebirds-
144761Firebirds-Griffins-
146773Firebirds-Orlando Solar Bears-
148780Firebirds-Broncos-
150789Tomahawks-Firebirds-
152800Firebirds-Orlando Solar Bears-
153806Firebirds-Griffins-
155813Orlando Solar Bears-Firebirds-
158831Firebirds-Americiens-
160839Newfoundland Regiment-Firebirds-
164859Wombats-Firebirds-
167879Griffins-Firebirds-
171897Americiens-Firebirds-
173904Firebirds-Bruins-
176923Firebirds-Wombats-
177929Quacken-Firebirds-
180946Firebirds-Wombats-
182952Admirals-Firebirds-
186973Broncos-Firebirds-
187978Firebirds-Marlies-
190990Broncos-Firebirds-
192998Firebirds-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
165,312$ 1,300,000$ 1,300,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,300,000$ 119,394$ 18 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 9,184$ 1,634,752$




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