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Connexion

Fighting Pandas
GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 40 | GA: 43 | PP%: 10.00% | PK%: 70.00%
DG: Hunter Jones | Morale : 52 | Moyenne d’équipe : 58
Prochains matchs #104 vs Laval Rocket

Centre de jeu
Broncos
7-2-1, 15pts
5
FINAL
6 Fighting Pandas
5-3-1, 11pts
Team Stats
L1SéquenceOTW2
4-0-0Fiche domicile3-1-0
3-2-1Fiche domicile2-2-1
7-2-1Derniers 10 matchs5-3-1
4.80Buts par match 4.44
3.40Buts contre par match 4.78
35.71%Pourcentage en avantage numérique10.00%
90.48%Pourcentage en désavantage numérique70.00%
Fighting Pandas
5-3-1, 11pts
4
FINAL
3 Americiens
1-5-3, 5pts
Team Stats
OTW2SéquenceL1
3-1-0Fiche domicile0-1-3
2-2-1Fiche domicile1-4-0
5-3-1Derniers 10 matchs1-5-3
4.44Buts par match 3.11
4.78Buts contre par match 3.89
10.00%Pourcentage en avantage numérique19.23%
70.00%Pourcentage en désavantage numérique90.91%
Fighting Pandas
5-3-1, 11pts
Jour 19
Laval Rocket
4-4-0, 8pts
Statistiques d’équipe
OTW2SéquenceOTW1
3-1-0Fiche domicile3-1-0
2-2-1Fiche visiteur1-3-0
5-3-110 derniers matchs4-4-0
4.44Buts par match 4.38
4.78Buts contre par match 4.38
10.00%Pourcentage en avantage numérique9.52%
70.00%Pourcentage en désavantage numérique67.86%
Lynx
5-3-0, 10pts
Jour 21
Fighting Pandas
5-3-1, 11pts
Statistiques d’équipe
L3SéquenceOTW2
2-2-0Fiche domicile3-1-0
3-1-0Fiche visiteur2-2-1
5-3-010 derniers matchs5-3-1
3.88Buts par match 4.44
4.00Buts contre par match 4.44
41.18%Pourcentage en avantage numérique10.00%
75.00%Pourcentage en désavantage numérique70.00%
Bruins
4-3-1, 9pts
Jour 25
Fighting Pandas
5-3-1, 11pts
Statistiques d’équipe
OTL1SéquenceOTW2
2-2-0Fiche domicile3-1-0
2-1-1Fiche visiteur2-2-1
4-3-110 derniers matchs5-3-1
3.88Buts par match 4.44
3.75Buts contre par match 4.44
27.27%Pourcentage en avantage numérique10.00%
76.92%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
40
4.44 GFG
Tirs pour
407
45.22 Avg
Pourcentage en avantage numérique
10.0%
2 GF
Début de zone offensive
41.5%
Buts contre
43
4.78 GAA
Tirs contre
367
40.78 Avg
Pourcentage en désavantage numérique
70.0%%
9 GA
Début de la zone défensive
37.7%
Informations de l'équipe

Directeur généralHunter Jones
EntraîneurPatrick Lalime
DivisionAtlantic
ConférenceEastern Conference
CapitaineCharle-Edouard D'Astous
Assistant #1Michael Brandsegg-Nygard
Assistant #2Kaedan Korczak


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 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
1Radek FaksaX100.00755785687869737171675077507677052650322500,000$
2Mackie SamoskevichX100.00755780736375887050676360515861052640231500,000$
3Beck MalenstynX100.00876288657569906250595576506770052640281700,000$
4Keegan KolesarX100.00866687657769916350625364506967052620291500,000$
5Stephen HallidayX100.00695595677761576852645958506062052600242500,000$
6Samuel HeleniusX100.00846989668262686761595659505959052600232750,000$
7Alexander HoltzX100.00685785637067576350635658526061052580241500,000$
8Ben JonesX100.00755099626662565868575059506765052570273500,000$
9Arshdeep BainsX100.00655778646562576150605059506262052570251500,000$
10Michael Brandsegg-Nygard (R) (A)X100.00765592787364545350535053505556052560214500,000$
11Charle-Edouard D'Astous (C)X100.00746752667674847250695567596969052660282500,000$
12Kaedan Korczak (A)X100.00735983627469896750605068556465052640241500,000$
13Ryker EvansX100.00666072646972816750585971566265052640241500,000$
14Axel Sandin-Pellikka (R)X100.00555786706670826950625766565659052620214500,000$
15Vincent IorioX100.00636077607967596350555069556064052610233500,000$
16Declan ChisholmX100.00605791617363586750625064556565052600261500,000$
17Jake LivanavageX100.00503594576755565050505050555860052520221500,000$
Rayé
1Andre LeeX100.00615089517650515550505050506463041520261500,000$
2Ivan IvanX100.00505688576750515050505050506060041510241500,000$
3Georgii MerkulovX100.00503589576150515050505050506261041510261500,000$
4Taylor MakarX100.00555783576850515050505050506261041510251500,000$
5Oliver BonkX100.00503594576450536150615050585769041530214500,000$
6Ryan JohnsonX100.00504367577050505050505050556364041520252500,000$
MOYENNE D’ÉQUIPE100.0066558463716266615258536052626404958
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
1Marcus Hogberg100.0050605983525350505050507474054570311500,000$
2Cayden Primeau100.0050615976505050505050506767054550273500,000$
Rayé
MOYENNE D’ÉQUIPE100.005061598051525050505050717105456
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Lalime9090957070651CAN524500,000$


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
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


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
Alexander HoltzFighting Pandas (OTT)RW242002-01-23CANNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Andre LeeFighting Pandas (OTT)LW262000-07-26CANNo210 Lbs6 ft4NoNoFree AgentNoNo12026-04-08FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Axel Sandin-PellikkaFighting Pandas (OTT)D212005-03-11CANYes186 Lbs6 ft0NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Lien
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-21FalseFalsePro & Farm700,000$70,000$63,571$No---------------------------Lien / Lien NHL
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Cayden PrimeauFighting Pandas (OTT)G271999-08-11CANNo205 Lbs6 ft3NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Charle-Edouard D'AstousFighting Pandas (OTT)D281998-04-21CANNo211 Lbs6 ft2NoNoFree AgentNoNo22026-07-04FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Georgii MerkulovFighting Pandas (OTT)C262000-10-10CANNo174 Lbs5 ft11NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Ivan IvanFighting Pandas (OTT)C242002-08-20CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Jake LivanavageFighting Pandas (OTT)D222004-05-06CANNo190 Lbs5 ft11NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo206 Lbs6 ft3NoNoTrade2025-08-04NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Mackie SamoskevichFighting Pandas (OTT)RW232002-11-15CANNo180 Lbs5 ft11NoNoTrade2025-08-04NoNo12024-08-10FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Marcus HogbergFighting Pandas (OTT)G311994-11-25CANNo232 Lbs6 ft5NoNoFree AgentNoNo12026-08-02FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Michael Brandsegg-NygardFighting Pandas (OTT)RW212005-10-05CANYes204 Lbs6 ft1NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Lien
Oliver BonkFighting Pandas (OTT)D212005-01-09CANNo180 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Radek FaksaFighting Pandas (OTT)C321994-01-09CANNo216 Lbs6 ft3NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ryan JohnsonFighting Pandas (OTT)D252001-07-24CANNo195 Lbs6 ft1NoNoFree AgentNoNo22026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien / Lien NHL
Samuel HeleniusFighting Pandas (OTT)C232002-11-26CANNo225 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm750,000$75,000$68,112$No750,000$--------750,000$--------No--------Lien / Lien NHL
Stephen HallidayFighting Pandas (OTT)C242002-07-02CANNo214 Lbs6 ft4NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Lien
Taylor MakarFighting Pandas (OTT)LW252001-03-13CANNo190 Lbs6 ft3NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Lien
Vincent IorioFighting Pandas (OTT)D232002-11-14CANNo220 Lbs6 ft4NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.16201 Lbs6 ft21.80518,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Americiens21001000752110000003211000100043141.000714210015131031051171281502068201045400.00%5260.00%015434544.64%15631449.68%7517343.35%1901312456811251
2Broncos10001000651100010006510000000000021.0006121800151310341117128150203751121300.00%3166.67%015434544.64%15631449.68%7517343.35%1901312456811251
3Bruins20100001712-50000000000020100001712-510.25071320001513103911171281502076162631600.00%7271.43%015434544.64%15631449.68%7517343.35%1901312456811251
4Laval Rocket11000000862110000008620000000000021.00081523001513103511171281502067710302150.00%5180.00%015434544.64%15631449.68%7517343.35%1901312456811251
5Lynx11000000633000000000001100000063321.000611170015131034411712815020337816000%4250.00%015434544.64%15631449.68%7517343.35%1901312456811251
6Marlies1010000035-21010000035-20000000000000.00036900151310334117128150203274273133.33%20100.00%015434544.64%15631449.68%7517343.35%1901312456811251
7Wombats1010000037-4000000000001010000037-400.00036900151310341117128150205416815200.00%4175.00%015434544.64%15631449.68%7517343.35%1901312456811251
Total933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Since Last GM Reset933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Vs Conference933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Vs Division73201001313103210000014131411010011718-190.64331599000151310332511712815020276575814915213.33%23769.57%015434544.64%15631449.68%7517343.35%1901312456811251

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
911OTW24077117407367787718500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
93320014043
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42110002018
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
51210012025
Derniers 10 matchs
WLOTWOTL SOWSOL
332001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
20210.00%30970.00%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
117128150201513103
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
15434544.64%15631449.68%7517343.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1901312456811251


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
15Fighting Pandas5Bruins6LXXSommaire du match
313Fighting Pandas3Wombats7LSommaire du match
421Americiens2Fighting Pandas3WSommaire du match
738Marlies5Fighting Pandas3LSommaire du match
953Laval Rocket6Fighting Pandas8WSommaire du match
1164Fighting Pandas2Bruins6LSommaire du match
1268Fighting Pandas6Lynx3WSommaire du match
1584Broncos5Fighting Pandas6WXSommaire du match
1688Fighting Pandas4Americiens3WXSommaire du match
19104Fighting Pandas-Laval Rocket-
21117Lynx-Fighting Pandas-
25135Bruins-Fighting Pandas-
27146Fighting Pandas-Marlies-
29158Firebirds-Fighting Pandas-
32171Fighting Pandas-Lynx-
33182Marlies-Fighting Pandas-
36194Fighting Pandas-Wombats-
38203Fighting Pandas-Wranglers-
40212Newfoundland Regiment-Fighting Pandas-
43229Laval Rocket-Fighting Pandas-
46243Fighting Pandas-Tomahawks-
49255Firebirds-Fighting Pandas-
51269Fighting Pandas-Griffins-
53279Fighting Pandas-Quacken-
54285Orlando Solar Bears-Fighting Pandas-
57301Laval Rocket-Fighting Pandas-
59310Fighting Pandas-Ice Bats-
61324Fighting Pandas-Canucks-
62332Orlando Solar Bears-Fighting Pandas-
65343Fighting Pandas-Lions-
66355Lions-Fighting Pandas-
69370Fighting Pandas-Barracuda-
70380Canucks-Fighting Pandas-
72390Fighting Pandas-Newfoundland Regiment-
75403Admirals-Fighting Pandas-
77418Broncos-Fighting Pandas-
79425Fighting Pandas-Orlando Solar Bears-
81436Fighting Pandas-Lynx-
83446Fighting Pandas-Roadrunners-
85455Wranglers-Fighting Pandas-
87468Fighting Pandas-Laval Rocket-
89478Wranglers-Fighting Pandas-
91487Fighting Pandas-Firebirds-
93497Fighting Pandas-Wranglers-
94504Quacken-Fighting Pandas-
97523Fighting Pandas-Firebirds-
98528Nordiks-Fighting Pandas-
102546Fighting Pandas-Bruins-
103551Tomahawks-Fighting Pandas-
106564Fighting Pandas-Orlando Solar Bears-
108573Fighting Pandas-Broncos-
109576Barracuda-Fighting Pandas-
112594Fighting Pandas-Aces-
113599Barons-Fighting Pandas-
116621Fighting Pandas-Broncos-
117624Admirals-Fighting Pandas-
120641Fighting Pandas-Americiens-
121648Wombats-Fighting Pandas-
126671Marlies-Fighting Pandas-
128686Fighting Pandas-Americiens-
130696Griffins-Fighting Pandas-
132703Fighting Pandas-Nordiks-
135719Griffins-Fighting Pandas-
137725Fighting Pandas-Griffins-
140739Fighting Pandas-Bruins-
141745Wombats-Fighting Pandas-
145767Bruins-Fighting Pandas-
149783Fighting Pandas-Marlies-
150791Broncos-Fighting Pandas-
153805Fighting Pandas-Marlies-
155815Aces-Fighting Pandas-
160838Americiens-Fighting Pandas-
162850Fighting Pandas-Wombats-
164861Americiens-Fighting Pandas-
168883Roadrunners-Fighting Pandas-
171895Fighting Pandas-Laval Rocket-
173905Roadrunners-Fighting Pandas-
175920Fighting Pandas-Admirals-
177931Lynx-Fighting Pandas-
178937Fighting Pandas-Admirals-
182954Bruins-Fighting Pandas-
186976Ice Bats-Fighting Pandas-
192995Lynx-Fighting Pandas-
1941007Fighting Pandas-Barons-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
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
164,844$ 1,295,000$ 1,295,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,295,000$ 118,926$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 178 9,158$ 1,630,124$




Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas 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