Firebirds
GP: 82 | W: 52 | L: 27 | OTL: 3 | P: 107
GF: 321 | GA: 257 | PP%: 21.35% | PK%: 82.93%
DG: Alexandre Fyfe | Morale : 75 | Moyenne d’équipe : 64
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Centre de jeu
Reign
38-37-7, 83pts
3
FINAL
2 Firebirds
52-27-3, 107pts
Team Stats
L1StreakW1
20-18-3Home Record25-15-1
18-19-4Away Record27-12-2
6-4-0Last 10 Games6-3-1
3.56Buts par match 3.91
3.82Buts contre par match 3.13
25.66%Pourcentage en avantage numérique21.35%
74.82%Pourcentage en désavantage numérique82.93%
Barracuda
47-28-7, 101pts
3
FINAL
5 Firebirds
52-27-3, 107pts
Team Stats
L1StreakW1
25-13-3Home Record25-15-1
22-15-4Away Record27-12-2
5-4-1Last 10 Games6-3-1
4.16Buts par match 3.91
3.54Buts contre par match 3.13
27.73%Pourcentage en avantage numérique21.35%
77.87%Pourcentage en désavantage numérique82.93%
Meneurs d'équipe
Matthew HighmoreButs
Matthew Highmore
1
Matthew HighmorePasses
Matthew Highmore
1
Matthew HighmorePoints
Matthew Highmore
2
Matthew HighmorePlus/Moins
Matthew Highmore
2
Anton ForsbergVictoires
Anton Forsberg
15
Anton ForsbergPourcentage d’arrêts
Anton Forsberg
0.906

Statistiques d’équipe
Buts pour
321
3.91 GFG
Tirs pour
3139
38.28 Avg
Pourcentage en avantage numérique
21.3%
57 GF
Début de zone offensive
41.7%
Buts contre
257
3.13 GAA
Tirs contre
2869
34.99 Avg
Pourcentage en désavantage numérique
82.9%
42 GA
Début de la zone défensive
41.1%
Information d’équipe

Directeur généralAlexandre Fyfe
EntraîneurChris Taylor
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro23
Équipe Mineure21
Limite contact 44 / 80
Espoirs11


Historique d'équipe

Saison actuelle52-27-3 (107PTS)
Historique52-27-9 (0.591%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Ryan Reaves0X100.009989786485788761556463625884750756703431,499,999$
2Alex Chiasson0XX100.006855786388768765596867646679730756603131,499,999$
3Nicolas Deslauriers0XX100.00938968638781866258636461627872075660302995,000$
4Egor Korshkov0XX100.00583592658285786658626863726967075650252700,000$
5Tyler Angle (R)0X100.00583593657179846677676864696163075650213925,000$
6Adam Brooks0X100.006035956568767967726664626669650756402531,200,000$
7Josh Dunne (R)0X100.00786779618866676272606456636562075630233925,000$
8Nate Sucese (R)0X100.00523788596482875655575853566965075590253925,000$
9Ville Meskanen0X100.00663789587569625760565159527166075590262700,000$
10Ben Hutton0X100.006835926482898469307159725475680756702831,000,000$
11Wyatt Kalynuk (R)0X100.00733594677682796830697266546768075670243925,000$
12Brett Kulak0X100.006736906876868866306956655273660756502731,430,000$
13Victor Soderstrom (R)0X100.00583592676882786830697056616266075650203925,000$
14Ryan Merkley (R)0X100.00573985636677825930605256486163075600213925,000$
Rayé
1Dryden Hunt0XX66.259136826373818465626764616571660756602631,143,000$
2Danny O'Regan0X100.00573589667086916577666358627371075640271750,000$
3Mikey Anderson0X100.00793888667487846330645976526367075650222925,000$
4Calle Rosen0X100.00523888637580736230665760527367075620273850,000$
5Jerad Rosburg (R)0X100.00685570547782875330555256456965075580253925,000$
6William Lochead0X100.00653454567476735430535255456563075570232700,000$
MOYENNE D’ÉQUIPE98.3168458463768081634964616158706707564
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
1Anton Forsberg100.00768078767574767574767578830756602931,499,999$
2Jon Gillies100.0071949297706971706971707377075650273950,000$
Rayé
1Joey Daccord100.0072817880717072717072716973075640253950,000$
MOYENNE D’ÉQUIPE100.007385838472717372717372737807565
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Chris Taylor60666473746976CAN493750,000$


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
1Tyler AngleFirebirds (SEA)C75325688282092203098622210.36%24141118.8151722471980000104556.46%192700011.2502000225
2Egor KorshkovFirebirds (SEA)LW/RW823550852660181413541092439.89%26154818.881051566211000049050.00%11800001.1003000267
3Ryan ReavesFirebirds (SEA)RW8029467596603261472908321010.00%23195124.40511164721110172235148.48%69100000.7724000725
4Nicolas DeslauriersFirebirds (SEA)LW/RW82284472197803351152537416711.07%20170720.8287155821903321244256.90%23900000.8413000664
5Brett KulakFirebirds (SEA)D821356691932014111113248899.85%106168020.4941115601741011175200.00%000000.8200000524
6Wyatt KalynukFirebirds (SEA)D73164864-12520186113201691427.96%93177724.35515201022081012177320.00%000000.7200000343
7Alex ChiassonFirebirds (SEA)LW/RW822932612238088118293902139.90%22172521.0457125021001142103047.40%17300010.7134000443
8Victor SoderstromFirebirds (SEA)D81105161182007911114144937.09%88162920.124913491370003146000.00%000000.7500000212
9Dryden HuntFirebirds (SEA)C/LW74332558164401881412646918112.50%18133918.1134786200011299147.89%76000010.8702000562
10Ben HuttonFirebirds (SEA)D56103242-730011111212357828.13%89138324.704913661610112131210.00%000000.6100000113
11Mikey AndersonFirebirds (SEA)D5863440123801449712149894.96%74117820.32178491350000122100.00%000000.6800000125
12Adam BrooksFirebirds (SEA)C7919163511202295119377515.97%96758.551011181012783153.01%79800001.0413000121
13Ville MeskanenFirebirds (SEA)RW61101424-160666197256110.31%1287914.42000020000161146.84%7900000.5500000011
14Danny O'ReganFirebirds (SEA)C51101121-120810098388110.20%1062612.29000000001121155.27%73100000.6700000000
15Nate SuceseFirebirds (SEA)LW4461016-400123257133110.53%648911.12000000000160050.00%5000000.6500000012
16Josh DunneFirebirds (SEA)C8231114360232727173511.11%42663.250002100000161061.45%24900001.0501000110
17Ryan MerkleyFirebirds (SEA)D380101008018191610150.00%3155314.5600001000033000.00%000000.3600000000
18Matthew HighmoreKrakenC/LW/RW11122003370314.29%01616.1800000000020062.50%2400002.4700000001
Statistiques d’équipe totales ou en moyenne1181290547837150440017771763290291820329.99%6552083917.65551021576051966459251632481553.45%583900030.80722000404148
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
1Anton ForsbergFirebirds (SEA)2615810.9063.40143181818580100.57172458102
2Jon GilliesFirebirds (SEA)20000.8923.6466004370000.0000024000
Statistiques d’équipe totales ou en moyenne2815810.9053.41149781858950100.57172482102


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BrooksFirebirds (SEA)C255/6/1996No185 Lbs5 ft10NoNoNo3Pro & Farm1,200,000$6,630$1,200,000$6,630$0$0$No1,200,000$1,200,000$Lien / Lien NHL
Alex ChiassonFirebirds (SEA)LW/RW3110/1/1990No208 Lbs6 ft4NoNoNo3Pro & Farm1,499,999$8,287$1,499,999$8,287$0$0$No1,499,999$1,499,999$Lien / Lien NHL
Anton ForsbergFirebirds (SEA)G2911/27/1992No176 Lbs6 ft2NoNoNo3Pro & Farm1,499,999$8,287$1,499,999$8,287$0$0$No1,499,999$1,499,999$Lien / Lien NHL
Ben HuttonFirebirds (SEA)D284/20/1993No206 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Brett KulakFirebirds (SEA)D271/6/1994No192 Lbs6 ft1NoNoNo3Pro & Farm1,430,000$7,901$1,307,000$7,221$0$0$No1,430,000$1,430,000$Lien / Lien NHL
Calle RosenFirebirds (SEA)D272/2/1994No186 Lbs6 ft1NoNoNo3Pro & Farm850,000$4,696$850,000$4,696$0$0$No850,000$850,000$Lien / Lien NHL
Danny O'ReganFirebirds (SEA)C271/30/1994No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Dryden Hunt (sur la masse salariale)Firebirds (SEA)C/LW2611/24/1995No193 Lbs6 ft0NoNoNo3Pro & Farm1,143,000$6,315$1,143,000$6,315$0$0$Yes1,143,000$1,143,000$Lien / Lien NHL
Egor KorshkovFirebirds (SEA)LW/RW257/10/1996No180 Lbs6 ft4NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jerad RosburgFirebirds (SEA)D256/18/1996Yes200 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Joey DaccordFirebirds (SEA)G258/19/1996No197 Lbs6 ft2NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Jon GilliesFirebirds (SEA)G271/22/1994No223 Lbs6 ft6NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Josh DunneFirebirds (SEA)C2312/8/1998Yes210 Lbs6 ft4NoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$
Mikey AndersonFirebirds (SEA)D225/25/1999No197 Lbs6 ft0NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Nate SuceseFirebirds (SEA)LW257/12/1996Yes174 Lbs5 ft9NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Nicolas DeslauriersFirebirds (SEA)LW/RW302/22/1991No219 Lbs6 ft3NoNoNo2Pro & Farm995,000$5,497$995,000$5,497$0$0$No995,000$Lien / Lien NHL
Ryan MerkleyFirebirds (SEA)D218/14/2000Yes170 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Ryan ReavesFirebirds (SEA)RW341/20/1987No225 Lbs6 ft2NoNoNo3Pro & Farm1,499,999$8,287$1,499,999$8,287$0$0$No1,499,999$1,499,999$Lien / Lien NHL
Tyler AngleFirebirds (SEA)C219/30/2000Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$
Victor SoderstromFirebirds (SEA)D202/26/2001Yes179 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Ville MeskanenFirebirds (SEA)RW2610/2/1995No188 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
William LocheadFirebirds (SEA)D233/30/1998No197 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Wyatt KalynukFirebirds (SEA)D244/14/1997Yes180 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$0$0$No925,000$925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.70193 Lbs6 ft12.701,011,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersRyan Reaves40122
2Alex ChiassonTyler AngleEgor Korshkov30122
3Nate SuceseAdam BrooksVille Meskanen20122
4Ryan ReavesJosh Dunne10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton40122
2Victor Soderstrom30122
3Brett KulakRyan Merkley20122
4Wyatt KalynukBen Hutton10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nicolas DeslauriersRyan Reaves60122
2Alex ChiassonTyler AngleEgor Korshkov40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor Soderstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Reaves60122
2Nicolas DeslauriersAlex Chiasson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor Soderstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Reaves60122Wyatt KalynukBen Hutton60122
240122Victor Soderstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan Reaves60122
2Nicolas DeslauriersAlex Chiasson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KalynukBen Hutton60122
2Victor Soderstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersRyan ReavesWyatt KalynukBen Hutton
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersRyan ReavesWyatt KalynukBen Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Brooks, Josh Dunne, Ville MeskanenAdam Brooks, Josh DunneVille Meskanen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brett Kulak, Ryan Merkley, Victor SoderstromBrett KulakRyan Merkley, Victor Soderstrom
Tirs de pénalité
Ryan Reaves, , Nicolas Deslauriers, Alex Chiasson, Tyler Angle
Gardien
#1 : Anton Forsberg, #2 : Jon Gillies
Lignes d’attaque personnalisées en prolongation
Ryan Reaves, , Nicolas Deslauriers, Alex Chiasson, Tyler Angle, Egor Korshkov, Egor Korshkov, Adam Brooks, Josh Dunne, Ville Meskanen, Nate Sucese
Lignes de défense personnalisées en prolongation
Wyatt Kalynuk, Ben Hutton, Victor Soderstrom, , Brett Kulak


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
1Admirals310010102011920001010121021100000081761.000203555001191108314124101910271055611183155707228.57%13192.31%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
2Americans2020000059-41010000024-21010000035-200.00051015001191108314461019102710556177181251300.00%6183.33%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
3Barracuda4400000023131022000000126622000000117481.0002341640011911083141981019102710556113539121167457.14%6266.67%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
4Bears201010006601010000034-11000100032120.500612180011911083146310191027105561712418603133.33%7185.71%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
5Bruins211000005501010000012-11100000043120.5005101500119110831468101910271055615411125210110.00%6266.67%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
6Checkers22000000954110000005411100000041341.00091625001191108314901019102710556173221649500.00%8187.50%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
7Comets43100000171522110000068-222000000117460.7501731480011911083141651019102710556115330149711436.36%70100.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
8Condors3120000067-12020000046-21100000021120.3336111700119110831496101910271055618817227910220.00%11281.82%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
9Crunch210000011284110000008351000000145-130.7501224360011911083141131019102710556165254598225.00%20100.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
10Devils21100000880110000006511010000023-120.50081523001191108314721019102710556167268499111.11%4175.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
11Eagles321000001082220000008351010000025-340.66710172700119110831482101910271055619232166915213.33%6183.33%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
12Griffins211000008621010000025-31100000061520.50081321001191108314721019102710556169121643500.00%7185.71%11731316554.69%1604312151.39%681131151.95%2050145718735801033528
13Gulls30300000812-41010000012-120200000710-300.00081624001191108314951019102710556110220318010110.00%9277.78%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
14Heat420010011394210010005232100000187170.8751324370111911083141251019102710556116246389212325.00%19194.74%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
15IceHogs320010001147210010008351100000031261.00011203100119110831413410191027105561952820759333.33%8187.50%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
16Marlies220000001064110000004311100000063341.0001018280011911083146810191027105561661418535120.00%8187.50%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
17Monsters22000000734110000005231100000021141.0007142100119110831411510191027105561691614597114.29%7185.71%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
18Moose320000101138110000004042100001073461.0001120310211911083141361019102710556110829188710110.00%8187.50%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
19Penguins201010006601010000012-11000100054120.50061117001191108314711019102710556164148437114.29%4175.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
20Phantoms2110000045-11010000013-21100000032120.5004610001191108314661019102710556185221440900.00%7185.71%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
21Reign42200000141402110000084421100000610-440.5001425390011911083141441019102710556114841209414214.29%9366.67%11731316554.69%1604312151.39%681131151.95%2050145718735801033528
22Roadrunners3300000016971100000063322000000106461.0001630460011911083141081019102710556110928205310220.00%10190.00%11731316554.69%1604312151.39%681131151.95%2050145718735801033528
23Rocket2020000058-31010000013-21010000045-100.0005914001191108314851019102710556169171242600.00%6266.67%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
24Senators2110000046-21010000004-41100000042220.50048120011911083147410191027105561661922361317.69%10280.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
25Silver Knights430010002213921001000129322000000104681.00022436500119110831420510191027105561138341810615853.33%9277.78%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
26Sound Tigers220000001578110000009541100000062441.00015274200119110831492101910271055615616125710440.00%4175.00%11731316554.69%1604312151.39%681131151.95%2050145718735801033528
27Stars30300000612-61010000026-42020000046-200.00061218001191108314921019102710556110336166110110.00%8275.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
28Thunderbirds32100000161241100000063321100000109140.667163046101191108314133101910271055611142526829444.44%11281.82%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
29Wild301011001012-2200011008801010000024-230.50010162600119110831497101910271055611203120609222.22%10370.00%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
30Wolf Pack20200000410-61010000037-41010000013-200.00047110011911083144810191027105561681218524250.00%9188.89%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
31Wolves220000001055110000005411100000051441.0001019290011911083146210191027105561651214565120.00%7185.71%01731316554.69%1604312151.39%681131151.95%2050145718735801033528
Total8243270712232125764411915051101581332541241202012163124391070.652321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
_Since Last GM Reset8243270712232125764411915051101581332541241202012163124391070.652321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
_Vs Conference33171302001126113131679000005660-41710402001705317390.59112623436000119110831412291019102710556111432982087931132017.70%981683.67%21731316554.69%1604312151.39%681131151.95%2050145718735801033528
_Vs Division16870000158535844000002328-584300001352510170.53158108166001191108314616101910271055615391381123855559.09%531081.13%11731316554.69%1604312151.39%681131151.95%2050145718735801033528

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107W132159091131392869747564202213
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8243277122321257
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4119155110158133
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4124122012163124
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2675721.35%2464282.93%4
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
101910271055611191108314
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
1731316554.69%1604312151.39%681131151.95%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2050145718735801033528


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 - 2021-10-122Firebirds6Silver Knights2AWSommaire du match
3 - 2021-10-1415Firebirds8Admirals1AWSommaire du match
5 - 2021-10-1628Firebirds2Monsters1AWSommaire du match
7 - 2021-10-1836Firebirds3Phantoms2AWSommaire du match
8 - 2021-10-1942Firebirds2Devils3ALSommaire du match
12 - 2021-10-2378Comets5Firebirds2BLSommaire du match
15 - 2021-10-2696Rocket3Firebirds1BLSommaire du match
17 - 2021-10-28108Wild3Firebirds4BWXSommaire du match
20 - 2021-10-31131Wolf Pack7Firebirds3BLSommaire du match
21 - 2021-11-01134Firebirds2Condors1AWSommaire du match
24 - 2021-11-04155Americans4Firebirds2BLSommaire du match
26 - 2021-11-06171Firebirds5Roadrunners4AWSommaire du match
29 - 2021-11-09191Firebirds4Silver Knights2AWSommaire du match
31 - 2021-11-11205Gulls2Firebirds1BLSommaire du match
33 - 2021-11-13223Wild5Firebirds4BLXSommaire du match
37 - 2021-11-17245IceHogs1Firebirds2BWXSommaire du match
39 - 2021-11-19260Eagles2Firebirds4BWSommaire du match
41 - 2021-11-21279Bears4Firebirds3BLSommaire du match
44 - 2021-11-24301Wolves4Firebirds5BWSommaire du match
46 - 2021-11-26312Firebirds4Crunch5ALXXSommaire du match
47 - 2021-11-27317Firebirds4Checkers1AWSommaire du match
49 - 2021-11-29333Firebirds3Americans5ALSommaire du match
51 - 2021-12-01349Firebirds6Griffins1AWSommaire du match
53 - 2021-12-03366Condors3Firebirds2BLSommaire du match
56 - 2021-12-06387Penguins2Firebirds1BLSommaire du match
59 - 2021-12-09409Moose0Firebirds4BWSommaire du match
61 - 2021-12-11426Monsters2Firebirds5BWSommaire du match
64 - 2021-12-14450Firebirds6Barracuda3AWSommaire du match
65 - 2021-12-15453Firebirds4Gulls5ALSommaire du match
68 - 2021-12-18479Condors3Firebirds2BLSommaire du match
69 - 2021-12-19487Marlies3Firebirds4BWSommaire du match
71 - 2021-12-21502Roadrunners3Firebirds6BWSommaire du match
73 - 2021-12-23518Firebirds4Heat2AWSommaire du match
77 - 2021-12-27533Firebirds6Comets3AWSommaire du match
79 - 2021-12-29549Phantoms3Firebirds1BLSommaire du match
80 - 2021-12-30556Heat2Firebirds3BWXSommaire du match
82 - 2022-01-01572Comets3Firebirds4BWSommaire du match
85 - 2022-01-04595Sound Tigers5Firebirds9BWSommaire du match
87 - 2022-01-06610Senators4Firebirds0BLSommaire du match
89 - 2022-01-08616Firebirds1Moose0AWXXSommaire du match
91 - 2022-01-10634Firebirds2Eagles5ALSommaire du match
93 - 2022-01-12647Firebirds3Stars4ALSommaire du match
94 - 2022-01-13655Firebirds5Thunderbirds7ALSommaire du match
96 - 2022-01-15677Reign1Firebirds6BWSommaire du match
98 - 2022-01-17686IceHogs2Firebirds6BWSommaire du match
101 - 2022-01-20712Barracuda3Firebirds7BWSommaire du match
102 - 2022-01-21720Thunderbirds3Firebirds6BWSommaire du match
104 - 2022-01-23735Checkers4Firebirds5BWSommaire du match
106 - 2022-01-25751Admirals8Firebirds9BWXXSommaire du match
108 - 2022-01-27762Firebirds5Penguins4AWXSommaire du match
110 - 2022-01-29774Firebirds6Sound Tigers2AWSommaire du match
111 - 2022-01-30783Firebirds1Wolf Pack3ALSommaire du match
113 - 2022-02-01795Firebirds4Bruins3AWSommaire du match
116 - 2022-02-04821Bruins2Firebirds1BLSommaire du match
119 - 2022-02-07846Firebirds5Barracuda4AWSommaire du match
122 - 2022-02-10863Admirals2Firebirds3BWXSommaire du match
125 - 2022-02-13886Firebirds3Bears2AWXSommaire du match
126 - 2022-02-14895Firebirds5Wolves1AWSommaire du match
128 - 2022-02-16910Firebirds6Marlies3AWSommaire du match
130 - 2022-02-18918Firebirds4Senators2AWSommaire du match
132 - 2022-02-20936Firebirds4Rocket5ALSommaire du match
136 - 2022-02-24966Crunch3Firebirds8BWSommaire du match
139 - 2022-02-27993Griffins5Firebirds2BLSommaire du match
143 - 2022-03-031017Firebirds5Roadrunners2AWSommaire du match
145 - 2022-03-051033Firebirds3Gulls5ALSommaire du match
146 - 2022-03-061044Firebirds0Reign6ALSommaire du match
148 - 2022-03-081058Firebirds6Reign4AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-03-101073Silver Knights5Firebirds7BWSommaire du match
152 - 2022-03-121088Silver Knights4Firebirds5BWXSommaire du match
154 - 2022-03-141108Stars6Firebirds2BLSommaire du match
157 - 2022-03-171125Firebirds5Thunderbirds2AWSommaire du match
158 - 2022-03-181132Firebirds3IceHogs1AWSommaire du match
160 - 2022-03-201145Heat0Firebirds2BWSommaire du match
163 - 2022-03-231173Firebirds4Heat5ALXXSommaire du match
164 - 2022-03-241179Firebirds6Moose3AWSommaire du match
167 - 2022-03-271205Devils5Firebirds6BWSommaire du match
171 - 2022-03-311231Eagles1Firebirds4BWSommaire du match
173 - 2022-04-021244Firebirds2Wild4ALSommaire du match
174 - 2022-04-031255Firebirds1Stars2ALSommaire du match
177 - 2022-04-061283Firebirds5Comets4AWSommaire du match
178 - 2022-04-071288Reign3Firebirds2BLSommaire du match
180 - 2022-04-091311Barracuda3Firebirds5BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets155
Assistance82,00041,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 3000 - 100.00% 43,750$1,793,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,198,764$ 2,212,500$ 1,772,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
12,224$ 2,446,393$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 16,367$ 16,367$




Firebirds Leaders statistiques (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Tyler Angle75325688282922030910.36%24141118.81517224700004556.46%11.2502
2Egor Korshkov82355085266181413549.89%26154818.88105156600009050.00%01.1003
3Ryan Reaves8029467596632614729010.00%23195124.40511164710175148.48%00.7724
4Nicolas Deslauriers82284472197833511525311.07%20170720.8287155803324256.90%00.8413
5Brett Kulak8213566919321411111329.85%106168020.4941115601011200.00%00.8200

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
1Anton Forsberg2615810.9063.40143181818580100.5717
2Jon Gillies20000.8923.6466004370000.0000

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
23824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
Total Saison régulière824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528

Firebirds Leaders statistiques (séries éliminatoires)

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

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