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Firebirds
GP: 80 | W: 41 | L: 32 | OTL: 7 | P: 89
GF: 313 | GA: 309 | PP%: 23.30% | PK%: 76.78%
DG: Guy Fortin | Morale : 36 | Moyenne d’équipe : 64

Centre de jeu
Penguins
38-37-5, 81pts
2
FINAL
5 Firebirds
41-32-7, 89pts
Team Stats
L6SéquenceW2
19-18-3Fiche domicile20-19-1
19-19-2Fiche domicile21-13-6
3-7-0Derniers 10 matchs6-3-1
4.20Buts par match 3.91
4.39Buts contre par match 3.86
21.04%Pourcentage en avantage numérique23.30%
78.40%Pourcentage en désavantage numérique76.78%
Firebirds
41-32-7, 89pts
6
FINAL
3 Little Stars
34-36-10, 78pts
Team Stats
W2SéquenceL1
20-19-1Fiche domicile19-19-2
21-13-6Fiche domicile15-17-8
6-3-1Derniers 10 matchs5-4-1
3.91Buts par match 3.98
3.86Buts contre par match 4.24
23.30%Pourcentage en avantage numérique20.42%
76.78%Pourcentage en désavantage numérique82.08%
Meneurs d'équipe
Buts
Thomas Spelling
48
Passes
Thomas Spelling
49
Points
Thomas Spelling
97
Plus/Moins
Jacob Middleton
24
Victoires
Cayden Primeau
31
Pourcentage d’arrêts
Cayden Primeau
0.889

Statistiques d’équipe
Buts pour
313
3.91 GFG
Tirs pour
2717
33.96 Avg
Pourcentage en avantage numérique
23.3%
65 GF
Début de zone offensive
37.0%
Buts contre
309
3.86 GAA
Tirs contre
2627
32.84 Avg
Pourcentage en désavantage numérique
76.8%%
62 GA
Début de la zone défensive
35.7%
Informations de l'équipe

Directeur généralGuy Fortin
EntraîneurPaul Maurice
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,746
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 250
Espoirs0


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
1Hayden Hodgson (R)X100.008030957774727262457859885456494756720231900,000$
2Tanner RichardX100.007644707880627472738076666666563266720261750,000$
3Thomas SpellingX100.007131817168727580636876627361552756700261900,000$
4Pierre-Luc Dubois (R)X100.007735787286637972627870715845466253700213900,000$
5Eric RobinsonX100.006530797573767371676877567263524156690242850,000$
6Fredrik Olofsson (R)X100.007642687372608074697666646353494056680232800,000$
7Wade Allison (R)X100.006229827368677373686676526648474456670221650,000$
8Garret Pilon (R)X100.006739767171676968706671616644454843660211750,000$
9Jasper Weatherby (R)X100.007450726773557567576469645546445854650211500,000$
10Jonah Gadjovich (R)X100.006741727280527674626272576045475556650213700,000$
11Maksim Sushko (R)X100.005723805566716970625777476742446156620204500,000$
12Matej Blumel (R)X100.004534787357575665686364546543426644610192500,000$
13Jakub Zboril (R)X100.0075428377757275765575707864634753457402222,000,000$
14Victor Mete (R)X100.005836788269667676518065735650465848690212800,000$
15Dylan Coghlan (R)X100.006329906868697567517561775848465634690213750,000$
16Mac Hollowell (R)X100.006845816564756459506959736050456137660211500,000$
17Matthew Kiersted (R)X100.005836896770657161376946724645474756650212650,000$
18Jacob Middleton (R)X100.006549696369745457337151644147473744630233500,000$
Rayé
1Sasha Chmelevski (R)X100.005727726851586862767765425242426319610202550,000$
2Artur Kayumov (R)X100.006850815958626062566661536943435319610211800,000$
3Nikita Alexandrov (R)X100.004635716949665679676261467543426920610192500,000$
4Parker Kelly (R)X100.006423755564566668656367446344444820600202500,000$
5Stelio Mattheos (R)X100.005833776355596763565857616444445420590201250,000$
6Jacob Olofsson (R)X100.005426715749545955535455566142425220540191500,000$
7Bobby Brink (R)X100.004325656461555358474367375940406620530182500,000$
8Valentin Nussbaumer (R)X100.005335695042555239445139474343425418480192500,000$
9Kyle Capobianco (R)X100.005934787353615569446754634946464019620224500,000$
10John Ludvig (R)X100.006026796363596354315846734042425919610192500,000$
11Maxence Guenette (R)X100.004033586449546367205948612740407716540182500,000$
MOYENNE D’ÉQUIPE100.00623576686563676655666361584846533964
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
1Cayden Primeau100.00737374736973756767676546446572690202900,000$
2Magnus Hellberg100.00736465746871686970717369662573690281700,000$
Rayé
1Jakub Skarek100.00765562757558566161507342445663620201500,000$
2Ian Scott100.00604947535846435063466142425620520201250,000$
MOYENNE D’ÉQUIPE100.0071606269686261626559685049515763
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice73946168788261Can522500,000$


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
1Thomas SpellingFirebirds (Sea)RW80484997-26201309031110519215.43%37159819.98131528422431124503342.31%1307627031.2112000954
2Pierre-Luc DuboisFirebirds (Sea)C76284876133801431281965810514.29%22126916.715510221671016978144.17%10643223001.2023000444
3Hayden HodgsonFirebirds (Sea)LW80314273-8201241282036911915.27%52179722.46619252124510132256134.63%2315038000.8104000328
4Eric RobinsonFirebirds (Sea)LW8037276416420971062376011115.61%35142717.85461018195202101408050.59%855413030.9000000552
5Tanner RichardFirebirds (Sea)C4121385943807074185559711.35%1284320.5871017231230000281249.35%13134010001.4001000802
6Jakub ZborilFirebirds (Sea)D6794251532010412113872556.52%99152522.7731114121500001136100%03363100.6700000012
7Fredrik OlofssonFirebirds (Sea)LW80203050-4340121701996110810.05%2398712.350000101013521157.45%473219001.0100000300
8Wade AllisonFirebirds (Sea)RW802128491420072731505010614.00%16123515.44461015180000001050.00%52296100.7900000241
9Victor MeteFirebirds (Sea)D7864147-154006010713355574.51%90167721.501910211931343160000%04059000.5600000021
10Garret PilonFirebirds (Sea)C7218224032609674128558314.06%2291512.712352190223630151.27%4722119000.8700000134
11Mac HollowellFirebirds (Sea)D6712829-6240821035226511.92%85151022.5404421640112158100%0448000.3800000000
12Dylan CoghlanFirebirds (Sea)D72425292160571066420256.25%71137219.06471171360003122010%01942000.4201000001
13Jasper WeatherbyFirebirds (Sea)C79101828-31808660100265510.00%147839.911233180000581241.93%3221416000.7200000222
14Jonah GadjovichFirebirds (Sea)LW8015924-42206840150489110.00%116538.1700004000053231.25%16358000.7300000101
15Maksim SushkoFirebirds (Sea)RW799817-795464965163513.85%1088411.20000010000001064.00%251113000.3800000013
16Matthew KierstedFirebirds (Sea)D8011516156042776224311.61%69127915.99101498011182000%0738000.2500000000
17Matej BlumelFirebirds (Sea)RW739514-400183464203714.06%95827.9800000000000128.57%795000.4800000100
18Jacob MiddletonFirebirds (Sea)D77112132440053773619202.78%49105813.75011461000054000%0527000.2500000000
19Sasha ChmelevskiFirebirds (Sea)C43044-52019193012200%63157.340113120001130051.79%19532000.2500000000
20Kyle CapobiancoFirebirds (Sea)D352245100121494622.22%173098.83000011000017100%0114000.2600000000
21Victor OlofssonKrakenRW5213-360113327106.25%39218.58101617000000046.67%1572000.6500000000
22John LudvigFirebirds (Sea)D420332604227260%193077.3200004000013000%019000.2000000000
23Nikita AlexandrovFirebirds (Sea)C31112-62049164126.25%31143.7000000000010047.92%4830000.3500000000
24Maxence GuenetteFirebirds (Sea)D13011060020010%1453.500000000000000%001000.4400000000
25Bobby BrinkFirebirds (Sea)RW210100010101100.00%0147.140000000000000%100001.4000000000
26Jacob OlofssonFirebirds (Sea)C23000-200101000%090.4000000000000050.00%20000000000000
27Parker KellyFirebirds (Sea)LW26000000100010%0110.4300000000080050.00%40000000000000
28Jalen ChatfieldKrakenD1000-200021130%02525.780001100005000%00000000000000
29Artur KayumovFirebirds (Sea)LW32000-100210000%090.2900001000000060.00%50000000000000
30Stelio MattheosFirebirds (Sea)RW26000000010000%010.060000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1620295499794504915152415902570869143811.48%7752265913.99529915120620757815401500361546.75%4034526502260.70311000392935
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
1Cayden PrimeauFirebirds (Sea)62312140.8893.633490402111893947210.50025716213
2Magnus HellbergFirebirds (Sea)3214750.8714.00159000106820395220.75082550001
3Jakub SkarekFirebirds (Sea)143910.8694.33665204836721810001156000
Statistiques d’équipe totales ou en moyenne1084837100.8813.8157466036530801560531093122214


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 Salaire restantPlafond 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
Artur KayumovFirebirds (Sea)LW211998-01-01RUSYes176 Lbs5 ft11NoNoTrade2024-07-10NoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------
Bobby BrinkFirebirds (Sea)RW182001-01-01USAYes170 Lbs5 ft8NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Cayden PrimeauFirebirds (Sea)G201999-01-01USANo203 Lbs6 ft3NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Dylan CoghlanFirebirds (Sea)D211998-01-01CANYes190 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Eric RobinsonFirebirds (Sea)LW241995-01-01USANo197 Lbs6 ft2NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Fredrik OlofssonFirebirds (Sea)LW231996-01-01USAYes204 Lbs6 ft2NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Garret PilonFirebirds (Sea)C211998-01-01USAYes187 Lbs5 ft11NoNoTrade2025-01-04NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Hayden HodgsonFirebirds (Sea)LW231996-01-01CZEYes220 Lbs6 ft6NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm900,000$0$0$No---------------------------
Ian ScottFirebirds (Sea)G201999-01-01CANNo178 Lbs6 ft0NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm250,000$0$0$No---------------------------
Jacob MiddletonFirebirds (Sea)D231996-01-01CANYes214 Lbs6 ft3NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Jacob OlofssonFirebirds (Sea)C192000-01-01SWEYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jakub SkarekFirebirds (Sea)G201999-01-01CZENo205 Lbs6 ft3NoNoTrade2024-07-10NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Jakub ZborilFirebirds (Sea)D221997-01-01CZEYes200 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,000,000$0$0$No2,500,000$--------800,000$--------No--------
Jasper WeatherbyFirebirds (Sea)C211998-01-01USAYes222 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
John LudvigFirebirds (Sea)D192000-01-01CZEYes214 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Jonah GadjovichFirebirds (Sea)LW211998-01-01CANYes209 Lbs6 ft2NoNoFree AgentNoNo32024-09-24FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Kyle CapobiancoFirebirds (Sea)D221997-01-01CANYes196 Lbs6 ft1NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Mac HollowellFirebirds (Sea)D211998-01-01CANYes170 Lbs5 ft9NoNoTrade2025-03-30NoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Magnus HellbergFirebirds (Sea)G281991-01-01SWENo185 Lbs6 ft5NoNoTrade2025-03-30NoNo12024-08-20FalseFalsePro & Farm700,000$0$0$No---------------------------
Maksim SushkoFirebirds (Sea)RW201999-01-01BLRYes206 Lbs6 ft0NoNoFree AgentNoNo42024-09-24FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Matej BlumelFirebirds (Sea)RW192000-01-01CZEYes201 Lbs6 ft0NoNoTrade2024-09-01NoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Matthew KierstedFirebirds (Sea)D211998-01-01CANYes181 Lbs6 ft0NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Maxence GuenetteFirebirds (Sea)D182001-01-01CANYes181 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Nikita AlexandrovFirebirds (Sea)C192000-01-01DEUYes176 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Parker KellyFirebirds (Sea)LW201999-01-01CANYes188 Lbs6 ft0NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------
Pierre-Luc DuboisFirebirds (Sea)C211998-01-01CANYes218 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No1,250,000$2,000,000$-------800,000$800,000$-------NoNo-------
Sasha ChmelevskiFirebirds (Sea)C201999-01-01USAYes188 Lbs6 ft0NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm550,000$0$0$No550,000$--------550,000$--------No--------
Stelio MattheosFirebirds (Sea)RW201999-01-01CANYes200 Lbs6 ft1NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm250,000$0$0$No---------------------------
Tanner RichardFirebirds (Sea)C261993-01-01CANNo176 Lbs5 ft11NoNoFree AgentNoNo12025-01-25FalseFalsePro & Farm750,000$0$0$No---------------------------
Thomas SpellingFirebirds (Sea)RW261993-01-01DNKNo176 Lbs6 ft1NoNoFree AgentNoNo12024-09-24FalseFalsePro & Farm900,000$0$0$No---------------------------
Valentin NussbaumerFirebirds (Sea)C192000-01-01CHEYes174 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Victor MeteFirebirds (Sea)D211998-01-01CANYes183 Lbs5 ft9NoNoFree AgentNoNo22024-09-24FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------
Wade AllisonFirebirds (Sea)RW221997-01-01CANYes205 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3321.18194 Lbs6 ft11.85662,121$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hayden HodgsonTanner RichardThomas Spelling40122
2Eric RobinsonPierre-Luc DuboisWade Allison30122
3Fredrik OlofssonGarret PilonMaksim Sushko20122
4Jonah GadjovichJasper WeatherbyMatej Blumel10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilDylan Coghlan40122
2Victor MeteMac Hollowell34122
3Matthew KierstedJacob Middleton25122
4Matthew KierstedJacob Middleton1122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Hayden HodgsonTanner RichardThomas Spelling60122
2Eric RobinsonPierre-Luc DuboisWade Allison40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilDylan Coghlan60122
2Victor MeteMac Hollowell40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tanner RichardHayden Hodgson60122
2Pierre-Luc DuboisThomas Spelling40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilDylan Coghlan60122
2Victor MeteMac Hollowell40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tanner Richard60122Matthew KierstedMac Hollowell60122
2Hayden Hodgson40122Victor MeteJacob Middleton40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Garret PilonHayden Hodgson60122
2Jasper WeatherbyFredrik Olofsson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub ZborilDylan Coghlan60122
2Victor MeteMac Hollowell40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Eric RobinsonTanner RichardMaksim SushkoJakub ZborilDylan Coghlan
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Hayden HodgsonTanner RichardThomas SpellingJakub ZborilDylan Coghlan
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Maksim Sushko, Fredrik Olofsson, Jasper WeatherbyMaksim Sushko, Fredrik OlofssonGarret Pilon
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Matthew Kiersted, Jacob Middleton, Victor MeteMatthew KierstedJacob Middleton, Victor Mete
Tirs de pénalité
Tanner Richard, Hayden Hodgson, Pierre-Luc Dubois, Thomas Spelling, Eric Robinson
Gardien
#1 : Cayden Primeau, #2 : Magnus Hellberg, #3 : 0
Lignes d’attaque personnalisées en prolongation
Tanner Richard, Hayden Hodgson, Pierre-Luc Dubois, Thomas Spelling, Eric Robinson, Fredrik Olofsson, Wade Allison, Garret Pilon, Jasper Weatherby, Jonah Gadjovich
Lignes de défense personnalisées en prolongation
Jakub Zboril, Dylan Coghlan, Victor Mete, Mac Hollowell, Matthew Kiersted


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
1Admirals321000001315-21010000027-522000000118340.6671323360083113112611590190089728892112719111.11%5260.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
2Americans302001001418-420200000912-31000010056-110.167142539108311311261069019008972811231186420735.00%9455.56%0873178548.91%798172646.23%618131746.92%168895517097431434713
3Barracuda2110000078-1110000004221010000036-320.50071320008311311267190190089728511910325120.00%50100.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
4Bears936000003542-74220000018180514000001724-760.33335619600831131126300901900897283059711014920735.00%551376.36%1873178548.91%798172646.23%618131746.92%168895517097431434713
5Canucks421010002015531101000141131100000064260.750203252108311311261429019008972813333188116212.50%9188.89%0873178548.91%798172646.23%618131746.92%168895517097431434713
6Checkers42100100131301100000043131100100910-150.62513203300831131126137901900897281384526101700.00%13192.31%0873178548.91%798172646.23%618131746.92%168895517097431434713
7Comets613001101924-5312000001112-130100110812-450.4171930490083113112619890190089728194664212617211.76%21385.71%1873178548.91%798172646.23%618131746.92%168895517097431434713
8Condors22000000963110000006511100000031241.000914230083113112673901900897286824834700.00%40100.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
9Crunch302001001317-41010000024-2201001001113-210.16713233600831131126108901900897281013414637342.86%7357.14%0873178548.91%798172646.23%618131746.92%168895517097431434713
10Eagles321000001313021100000910-11100000043140.66713213400831131126108901900897288922146017423.53%7271.43%0873178548.91%798172646.23%618131746.92%168895517097431434713
11Griffins200020001192100010007611000100043141.000111829008311311267890190089728671863710440.00%30100.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
12Gulls21100000910-1110000006421010000036-320.50091524008311311265190190089728651720465240.00%10280.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
13Icehogs22000000945110000004221100000052341.00091524008311311267090190089728611814488337.50%70100.00%1873178548.91%798172646.23%618131746.92%168895517097431434713
14Islander623001002122-131100100910-1312000001212050.4172130510083113112619190190089728199684812326830.77%25772.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
15Little Stars32100000131121010000046-22200000095440.6671322350083113112695901900897281102824619111.11%12466.67%1873178548.91%798172646.23%618131746.92%168895517097431434713
16Marlies3200000113941100000031221000001108250.8331323360083113112610390190089728884718538337.50%10370.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
17Moose22000000844110000003211100000052341.0008132100831131126679019008972855106499111.11%30100.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
18Penguins33000000181082200000010551100000085361.000183149008311311261069019008972810341164513538.46%8187.50%0873178548.91%798172646.23%618131746.92%168895517097431434713
19Phantoms211000006601010000024-21100000042220.50061016008311311266390190089728671010398112.50%5180.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
20Punishers31200000910-1211000007701010000023-120.33391524008311311261089019008972810833166414214.29%8275.00%1873178548.91%798172646.23%618131746.92%168895517097431434713
21Rockets2110000058-31010000037-41100000021120.500581300831131126619019008972858191633600.00%8450.00%1873178548.91%798172646.23%618131746.92%168895517097431434713
22Senators20000110770100000106511000010012-130.7507101700831131126799019008972870186433133.33%3166.67%0873178548.91%798172646.23%618131746.92%168895517097431434713
23Thunderbirds330000001569110000006242200000094561.000152641008311311269590190089728913017669333.33%7271.43%0873178548.91%798172646.23%618131746.92%168895517097431434713
24Wolfpack41300000913-430300000510-51100000043120.25091423008311311261379019008972814442307516212.50%15473.33%1873178548.91%798172646.23%618131746.92%168895517097431434713
25Wranglers2020000049-51010000023-11010000026-400.00047110083113112655901900897286121164310220.00%8275.00%0873178548.91%798172646.23%618131746.92%168895517097431434713
Total80363203621313309440171902110156158-2401913015111571516890.55631351983220831131126271790190089728262781253516062796523.30%2676276.78%7873178548.91%798172646.23%618131746.92%168895517097431434713
_Since Last GM Reset80363203621313309440171902110156158-2401913015111571516890.55631351983220831131126271790190089728262781253516062796523.30%2676276.78%7873178548.91%798172646.23%618131746.92%168895517097431434713
_Vs Conference51222301410198196226111301100999812511100031099981520.51019832552310831131126172590190089728171553937510141713922.81%1874377.01%5873178548.91%798172646.23%618131746.92%168895517097431434713
_Vs Division21612002107588-131045001003840-21127001103748-11160.381751211960083113112668990190089728698231200398631726.98%1012377.23%2873178548.91%798172646.23%618131746.92%168895517097431434713

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089W231351983227172627812535160620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8036323621313309
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4017192110156158
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4019131511157151
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
2796523.30%2676276.78%7
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
90190089728831131126
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
873178548.91%798172646.23%618131746.92%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
168895517097431434713


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
310Firebirds1Checkers2LXSommaire du match
521Wolfpack2Firebirds1LSommaire du match
730Firebirds7Islander5WR1Sommaire du match
835Firebirds2Bears6LSommaire du match
1050Bears5Firebirds6WSommaire du match
1260Firebirds6Bears4WSommaire du match
1676Islander3Firebirds2LXR1Sommaire du match
1781Firebirds3Bears6LSommaire du match
20100Canucks3Firebirds4WXSommaire du match
24121Comets4Firebirds3LSommaire du match
26133Firebirds3Comets7LSommaire du match
28145Bears5Firebirds4LSommaire du match
31162Firebirds3Comets4LXSommaire du match
33173Islander2Firebirds4WR1Sommaire du match
36190Wolfpack3Firebirds2LSommaire du match
39198Firebirds5Checkers4WSommaire du match
43220Americans7Firebirds5LSommaire du match
45227Firebirds2Rockets1WSommaire du match
47233Firebirds2Islander3LR1Sommaire du match
49246Firebirds2Wranglers6LSommaire du match
51257Marlies1Firebirds3WSommaire du match
54273Crunch4Firebirds2LSommaire du match
59295Comets6Firebirds4LSommaire du match
61312Firebirds4Eagles3WSommaire du match
64322Rockets7Firebirds3LSommaire du match
66339Firebirds8Penguins5WSommaire du match
68349Barracuda2Firebirds4WSommaire du match
70359Firebirds3Gulls6LSommaire du match
72373Wolfpack5Firebirds2LSommaire du match
76388Firebirds4Thunderbirds2WSommaire du match
78397Firebirds5Americans6LXSommaire du match
79407Bears3Firebirds1LSommaire du match
82424Firebirds2Punishers3LSommaire du match
84432Americans5Firebirds4LSommaire du match
88453Islander5Firebirds3LR1Sommaire du match
93477Thunderbirds2Firebirds6WSommaire du match
95491Firebirds4Wolfpack3WSommaire du match
98501Phantoms4Firebirds2LSommaire du match
102521Firebirds4Bears5LSommaire du match
104527Moose2Firebirds3WSommaire du match
105536Firebirds5Moose2WSommaire du match
109554Condors5Firebirds6WSommaire du match
112575Comets2Firebirds4WSommaire du match
115586Firebirds5Icehogs2WSommaire du match
117600Griffins6Firebirds7WXSommaire du match
119609Firebirds3Condors1WSommaire du match
121622Firebirds3Islander4LR1Sommaire du match
124631Firebirds1Senators2LXSommaire du match
125637Icehogs2Firebirds4WSommaire du match
128658Bears5Firebirds7WSommaire du match
130670Firebirds5Thunderbirds2WSommaire du match
132683Little Stars6Firebirds4LSommaire du match
134694Firebirds3Barracuda6LSommaire du match
136705Firebirds2Bears3LSommaire du match
137714Punishers5Firebirds3LSommaire du match
140731Firebirds4Griffins3WXSommaire du match
142738Checkers3Firebirds4WSommaire du match
144753Firebirds6Admirals5WSommaire du match
146764Firebirds2Comets1WXXSommaire du match
148771Firebirds6Canucks4WSommaire du match
149778Punishers2Firebirds4WSommaire du match
152793Senators5Firebirds6WXXSommaire du match
157819Admirals7Firebirds2LSommaire du match
160836Wranglers3Firebirds2LSommaire du match
162849Firebirds5Admirals3WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165863Canucks5Firebirds9WSommaire du match
168877Firebirds7Crunch8LXSommaire du match
171890Penguins3Firebirds5WSommaire du match
172898Firebirds4Crunch5LSommaire du match
173906Firebirds4Phantoms2WSommaire du match
175919Firebirds3Checkers4LSommaire du match
177925Eagles2Firebirds5WSommaire du match
180946Canucks3Firebirds1LSommaire du match
181952Firebirds3Little Stars2WSommaire du match
183959Firebirds6Marlies3WSommaire du match
187977Firebirds4Marlies5LXXSommaire du match
189986Gulls4Firebirds6WSommaire du match
1931007Eagles8Firebirds4LSommaire du match
1951020Penguins2Firebirds5WSommaire du match
1991033Firebirds6Little Stars3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance73,22136,625
Assistance PCT91.53%91.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2746 - 91.54% 173,000$6,919,995$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,670,925$ 2,185,000$ 2,185,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,817$ 2,165,360$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,292$ 0$




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