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Connexion

Fighting Pandas
GP: 3 | W: 2 | L: 1
GF: 10 | GA: 9 | PP%: 33.33% | PK%: 50.00%
DG: Hunter Jones | Morale : 75 | Moyenne d’équipe : 60
Prochains matchs #27 vs Lynx

Centre de jeu
Lynx
1-2-0, 2pts
4
FINAL
3 Fighting Pandas
2-1-0, 4pts
Team Stats
L1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche domicile1-0-0
1-2-0Derniers 10 matchs2-1-0
3.00Buts par match 3.33
3.33Buts contre par match 3.00
50.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique50.00%
Fighting Pandas
2-1-0, 4pts
4
FINAL
3 Lynx
1-2-0, 2pts
Team Stats
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche domicile1-1-0
2-1-0Derniers 10 matchs1-2-0
3.33Buts par match 3.00
3.00Buts contre par match 3.33
33.33%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique66.67%
Fighting Pandas
2-1-0, 4pts
Jour 7
Lynx
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-2-0
3.33Buts par match 3.00
3.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique66.67%
Lynx
1-2-0, 2pts
Jour 9
Fighting Pandas
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW1
0-1-0Fiche domicile1-1-0
1-1-0Fiche visiteur1-0-0
1-2-010 derniers matchs2-1-0
3.00Buts par match 3.33
3.33Buts contre par match 3.33
50.00%Pourcentage en avantage numérique33.33%
66.67%Pourcentage en désavantage numérique50.00%
Fighting Pandas
2-1-0, 4pts
Jour 11
Lynx
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-1-0Fiche domicile0-1-0
1-0-0Fiche visiteur1-1-0
2-1-010 derniers matchs1-2-0
3.33Buts par match 3.00
3.00Buts contre par match 3.00
33.33%Pourcentage en avantage numérique50.00%
50.00%Pourcentage en désavantage numérique66.67%
Meneurs d'équipe
Connor BrownButs
Connor Brown
3
Mackie SamoskevichPasses
Mackie Samoskevich
5
Mackie SamoskevichPoints
Mackie Samoskevich
5
Mackie SamoskevichPlus/Moins
Mackie Samoskevich
5
Jakub DobesVictoires
Jakub Dobes
2
Jakub DobesPourcentage d’arrêts
Jakub Dobes
0.903

Statistiques d’équipe
Buts pour
10
3.33 GFG
Tirs pour
92
30.67 Avg
Pourcentage en avantage numérique
33.3%
1 GF
Début de zone offensive
36.4%
Buts contre
9
3.00 GAA
Tirs contre
93
31.00 Avg
Pourcentage en désavantage numérique
50.0%%
4 GA
Début de la zone défensive
42.1%
Informations de l'équipe

Directeur généralHunter Jones
EntraîneurPatrick Lalime
DivisionAtlantic
ConférenceEastern Conference
CapitaineJeff Skinner
Assistant #1Ryker Evans
Assistant #2Keegan Kolesar


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs28


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
1Connor BrownX100.00525494676574927250696976517475086670322500,000$
2Mackie Samoskevich (R)XX100.00765591766573837650707260545861084660232500,000$
3Jeff Skinner (C)XX100.006556896971728375576673595179770866603312,000,000$
4Keegan Kolesar (A)X100.00857189687772927550686665506869084660292500,000$
5Radek FaksaX100.00785979657772826680665570617676084640323500,000$
6Cole KoepkeX100.00826292667469836950646465506767085640271500,000$
7Beck MalenstynX99.00836184637567865861605167506869083610282700,000$
8Alexander HoltzX100.00655690677269706150635358535961083590242500,000$
9Samuel Helenius (R)X100.00846990667563676064585558505960085590233750,000$
10Ivan Ivan (R)XX100.00535590666964625955565756505960069570232500,000$
11Ben JonesX100.00747499606661555250534959506463073550274500,000$
12Georgii MerkulovX100.00503983576150535050505050505860029510251500,000$
13Ryker Evans (A)X100.00785979687175877450705871566165085670242500,000$
14Alec MartinezX99.00635793647374677350656372568884084660382700,000$
15Sean DurziX100.006166776871756274506763735667700846502711,000,000$
16Kaedan KorczakX100.00725696627466646950655170656165068630242500,000$
17Declan ChisholmX100.00635692656871806850615468556566084630262500,000$
Rayé
1Andre Lee (R)X100.00706783587558545550545055506060052540252500,000$
2Arshdeep BainsX100.00645089576560535250505054506261022530252500,000$
3Matej BlümelX100.00515089577350515050505050506061022510254500,000$
4Samuel BolducX100.00503595588261585050504949556163021540252500,000$
5Ryan JohnsonX100.00504740577050545050505050556062022520241500,000$
MOYENNE D’ÉQUIPE99.9167578764716670635360576253656606760
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
1Jakub Dobes (R)98.0073687079756563676565876265035670243750,000$
2Cayden Primeau100.0050656176615453555050596161085570264500,000$
Rayé
1Devon Levi100.0050646071505050505050505656034530241500,000$
MOYENNE D’ÉQUIPE99.335866647562565557555565606105159
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Lalime9090957070651CAN515500,000$


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
1Mackie SamoskevichFighting Pandas (OTT)C/RW305550029145100%27525.0600011000020053.57%5600001.3300000101
2Ryker EvansFighting Pandas (OTT)D32353405550140.00%47525.271012100004000%000001.3200000100
3Sean DurziFighting Pandas (OTT)D31343407442525.00%47525.120000101105000%000001.0600000010
4Connor BrownFighting Pandas (OTT)RW3314400231361123.08%25819.4100001000001050.00%200001.3700000011
5Alec MartinezFighting Pandas (OTT)D3033100244120%27725.910110100005000%000000.7700000000
6Jeff SkinnerFighting Pandas (OTT)LW/RW3213-100231661412.50%06521.7801103101271133.33%600000.9200000000
7Cole KoepkeFighting Pandas (OTT)LW31124202191711.11%06120.3400001000010033.33%600000.6600000000
8Declan ChisholmFighting Pandas (OTT)D31011000130433.33%65919.760000100002000%000000.3400000000
9Keegan KolesarFighting Pandas (OTT)RW3011020434560%14013.550000000000000%000000.4900000000
10Ivan IvanFighting Pandas (OTT)C/LW3000200103220%04214.130000000000000%10000000000000
11Alexander HoltzFighting Pandas (OTT)RW3000-200237120%15518.5800003000000066.67%60000000000000
12Beck MalenstynFighting Pandas (OTT)LW3000-2001221140%27023.5000000000000040.63%320000000000000
13Samuel HeleniusFighting Pandas (OTT)C3000120711240%24314.6100000000000062.50%400000000000000
14Radek FaksaFighting Pandas (OTT)C3000-200498270%15819.5800000000000069.64%560000000000000
Statistiques d’équipe totales ou en moyenne4210182817140524892347910.87%2785920.471233151122292156.59%20500000.6500000222
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
1Jakub DobesFighting Pandas (OTT)32100.9033.02179209930000030000
Statistiques d’équipe totales ou en moyenne32100.9033.0217920993000030000


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
Alec MartinezFighting Pandas (OTT)D381987-07-26USANo210 Lbs6 ft1NoNoTrade2025-03-05NoNo22024-08-21FalseFalsePro & Farm700,000$70,000$45,000$No700,000$--------700,000$--------No--------Lien / Lien NHL
Alexander HoltzFighting Pandas (OTT)RW242002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Andre LeeFighting Pandas (OTT)LW252000-07-26SWEYes206 Lbs6 ft5NoNoFree AgentNoNo22026-04-08FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm700,000$70,000$45,000$No700,000$--------700,000$--------No--------Lien / Lien NHL
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$32,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Cayden PrimeauFighting Pandas (OTT)G261999-08-11USANo205 Lbs6 ft3NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$32,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien / Lien NHL
Cole KoepkeFighting Pandas (OTT)LW271998-05-17USANo207 Lbs6 ft1NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm500,000$50,000$32,143$No---------------------------Lien / Lien NHL
Connor BrownFighting Pandas (OTT)RW321994-01-14CANNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Devon LeviFighting Pandas (OTT)G242001-12-27CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$32,143$No---------------------------Lien / Lien NHL
Georgii MerkulovFighting Pandas (OTT)C252000-10-10RUSNo176 Lbs5 ft11NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$32,143$No---------------------------Lien / Lien NHL
Ivan IvanFighting Pandas (OTT)C/LW232002-08-20CZEYes190 Lbs6 ft0NoNoFree AgentNoNo22025-08-09FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jakub DobesFighting Pandas (OTT)G242001-05-27CZEYes215 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm750,000$75,000$48,214$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Jeff SkinnerFighting Pandas (OTT)LW/RW331992-05-16CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm2,000,000$200,000$128,571$No---------------------------Lien / Lien NHL
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo202 Lbs6 ft3NoNoTrade2025-08-04NoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Mackie SamoskevichFighting Pandas (OTT)C/RW232002-11-15USAYes180 Lbs5 ft11NoNoTrade2025-08-04NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Matej BlümelFighting Pandas (OTT)RW252000-05-31CZENo205 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$32,143$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Lien
Radek FaksaFighting Pandas (OTT)C321994-01-09CZENo215 Lbs6 ft3NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$32,143$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien / Lien NHL
Ryan JohnsonFighting Pandas (OTT)D242001-07-24USANo195 Lbs6 ft1NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$32,143$No---------------------------Lien / Lien NHL
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Samuel BolducFighting Pandas (OTT)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$32,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Samuel HeleniusFighting Pandas (OTT)C232002-11-26USAYes201 Lbs6 ft6NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm750,000$75,000$48,214$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien / Lien NHL
Sean DurziFighting Pandas (OTT)D271998-10-21CANNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$64,286$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.52199 Lbs6 ft12.12616,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff SkinnerAlexander Holtz40122
2Cole KoepkeMackie SamoskevichConnor Brown30122
3Beck MalenstynRadek FaksaKeegan Kolesar20122
4Ivan IvanSamuel HeleniusMackie Samoskevich10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezRyker Evans40122
2Sean Durzi30122
3Declan ChisholmAlec Martinez20122
4Ryker EvansSean Durzi10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jeff SkinnerAlexander Holtz60122
2Cole KoepkeMackie SamoskevichConnor Brown40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jeff Skinner60122
2Mackie SamoskevichCole Koepke40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Alec MartinezRyker Evans60122
2Mackie Samoskevich40122Sean Durzi40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jeff Skinner60122
2Mackie SamoskevichCole Koepke40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff SkinnerAlexander HoltzAlec MartinezRyker Evans
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jeff SkinnerConnor BrownAlec MartinezRyker Evans
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackie Samoskevich, Radek Faksa, Cole KoepkeMackie Samoskevich, Radek FaksaMackie Samoskevich
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Durzi, , Declan ChisholmSean DurziSean Durzi,
Tirs de pénalité
, Connor Brown, Keegan Kolesar, Jeff Skinner, Mackie Samoskevich
Gardien
#1 : Jakub Dobes, #2 : Cayden Primeau


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
1Lynx321000001091211000006601100000043140.667101929003250923124370932716523133.33%8450.00%1488357.83%529654.17%284957.14%846258183619
Total321000001091211000006601100000043140.667101929003250923124370932716523133.33%8450.00%1488357.83%529654.17%284957.14%846258183619
_Since Last GM Reset321000001091211000006601100000043140.667101929003250923124370932716523133.33%8450.00%1488357.83%529654.17%284957.14%846258183619
_Vs Conference321000001091211000006601100000043140.667101929003250923124370932716523133.33%8450.00%1488357.83%529654.17%284957.14%846258183619
_Vs Division321000001091211000006601100000043140.667101929003250923124370932716523133.33%8450.00%1488357.83%529654.17%284957.14%846258183619

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W1101929929327165200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3210000109
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000066
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
110000043
Derniers 10 matchs
WLOTWOTL SOWSOL
210000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3133.33%8450.00%1
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
31243703250
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
488357.83%529654.17%284957.14%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
846258183619


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
13Lynx2Fighting Pandas3WSommaire du match
311Lynx4Fighting Pandas3LSommaire du match
519Fighting Pandas4Lynx3WSommaire du match
727Fighting Pandas-Lynx-
935Lynx-Fighting Pandas-
1143Fighting Pandas-Lynx-
1351Lynx-Fighting Pandas-



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,540,000$ 1,540,000$ 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$ 9 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