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Fighting Pandas
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Hunter Jones | Morale : 50 | Moyenne d’équipe : 58

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralHunter Jones
EntraîneurPatrick Lalime
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Radek FaksaX100.00755785687869737171675077507677047650322500,000$
2Mackie SamoskevichX100.00755780736375887050676360515861047640231500,000$
3Beck MalenstynX100.00876288657569906250595576506770047640281700,000$
4Keegan KolesarX100.00866687657769916350625364506967047620291500,000$
5Stephen HallidayX100.00695595677761576852645958506062050600242500,000$
6Samuel HeleniusX100.00846989668262686761595659505959047600232750,000$
7Alexander HoltzX100.00685785637067576350635658526061047580241500,000$
8Ben JonesX100.00755099626662565868575059506765047570273500,000$
9Arshdeep BainsX100.00655778646562576150605059506262047570251500,000$
10Michael Brandsegg-Nygard (R)X100.00765592787364545350535053505556050560204500,000$
11Charle-Edouard D'AstousX100.00746752667674847250695567596969050660282500,000$
12Kaedan KorczakX100.00735983627469896750605068556465047640241500,000$
13Ryker EvansX100.00666072646972816750585971566265047640241500,000$
14Axel Sandin-Pellikka (R)X100.00555786706670826950625766565659050620214500,000$
15Vincent IorioX100.00636077607967596350555069556064047610233500,000$
16Declan ChisholmX100.00605791617363586750625064556565047600261500,000$
17Jake LivanavageX100.00503594576755565050505050555860050520221500,000$
Rayé
1Andre LeeX100.00615089517650515550505050506463047520261500,000$
2Ivan IvanX100.00505688576750515050505050506060047510231500,000$
3Georgii MerkulovX100.00503589576150515050505050506261047510251500,000$
4Taylor MakarX100.00555783576850515050505050506261050510251500,000$
5Oliver BonkX100.00503594576450536150615050585769047530214500,000$
6Ryan JohnsonX100.00504367577050505050505050556364047520252500,000$
MOYENNE D’ÉQUIPE100.0066558463716266615258536052626404858
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Marcus Hogberg100.0050605983525350505050507474047570311500,000$
2Cayden Primeau100.0050615976505050505050506767047550273500,000$
Rayé
MOYENNE D’ÉQUIPE100.005061598051525050505050717104756
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$50,000$No---------------------------Lien / Lien NHL
Andre LeeFighting Pandas (OTT)LW262000-07-26CANNo210 Lbs6 ft4NoNoFree AgentNoNo12026-04-08FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Axel Sandin-PellikkaFighting Pandas (OTT)D212005-03-11CANYes186 Lbs6 ft0NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$---------------NoNoNo------Lien
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-21FalseFalsePro & Farm700,000$70,000$70,000$No---------------------------Lien / Lien NHL
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$50,000$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$50,000$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$50,000$No500,000$--------500,000$--------No--------Lien
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Georgii MerkulovFighting Pandas (OTT)C252000-10-10CANNo174 Lbs5 ft11NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Ivan IvanFighting Pandas (OTT)C232002-08-20CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Jake LivanavageFighting Pandas (OTT)D222004-05-06CANNo190 Lbs5 ft11NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo206 Lbs6 ft3NoNoTrade2025-08-04NoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Mackie SamoskevichFighting Pandas (OTT)RW232002-11-15CANNo180 Lbs5 ft11NoNoTrade2025-08-04NoNo12024-08-10FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Marcus HogbergFighting Pandas (OTT)G311994-11-25CANNo232 Lbs6 ft5NoNoFree AgentNoNo12026-08-02FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Michael Brandsegg-NygardFighting Pandas (OTT)RW202005-10-05CANYes204 Lbs6 ft1NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$---------------NoNoNo------Lien
Oliver BonkFighting Pandas (OTT)D212005-01-09CANNo180 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$50,000$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$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ryan JohnsonFighting Pandas (OTT)D252001-07-24CANNo195 Lbs6 ft1NoNoFree AgentNoNo22026-06-27FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien / Lien NHL
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien / Lien NHL
Samuel HeleniusFighting Pandas (OTT)C232002-11-26CANNo225 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm750,000$75,000$75,000$No750,000$--------750,000$--------No--------Lien / Lien NHL
Stephen HallidayFighting Pandas (OTT)C242002-07-02CANNo214 Lbs6 ft4NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Lien
Taylor MakarFighting Pandas (OTT)LW252001-03-13CANNo190 Lbs6 ft3NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Lien
Vincent IorioFighting Pandas (OTT)D232002-11-14CANNo220 Lbs6 ft4NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2525.04201 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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 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
0$ 0$ 25 0

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




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