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Connexion

Fighting Pandas
GP: 6 | W: 3 | L: 3
GF: 27 | GA: 26 | PP%: 16.67% | PK%: 35.71%
DG: Hunter Jones | Morale : 73 | Moyenne d’équipe : 60
Prochains matchs #51 vs Lynx

Centre de jeu
Lynx
3-3-0, 6pts
3
FINAL
6 Fighting Pandas
3-3-0, 6pts
Team Stats
W1SéquenceL1
2-1-0Fiche domicile2-1-0
1-2-0Fiche domicile1-2-0
3-3-0Derniers 10 matchs3-2-1
4.33Buts par match 4.50
4.50Buts contre par match 4.33
64.29%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique35.71%
Fighting Pandas
3-3-0, 6pts
6
FINAL
8 Lynx
3-3-0, 6pts
Team Stats
L1SéquenceW1
2-1-0Fiche domicile2-1-0
1-2-0Fiche domicile1-2-0
3-2-1Derniers 10 matchs3-3-0
4.50Buts par match 4.33
4.33Buts contre par match 4.50
16.67%Pourcentage en avantage numérique64.29%
35.71%Pourcentage en désavantage numérique83.33%
Lynx
3-3-0, 6pts
Jour 13
Fighting Pandas
3-3-0, 6pts
Statistiques d’équipe
W1SéquenceL1
2-1-0Fiche domicile2-1-0
1-2-0Fiche visiteur1-2-0
3-3-010 derniers matchs3-2-1
4.33Buts par match 4.50
4.50Buts contre par match 4.50
64.29%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique35.71%
Meneurs d'équipe
Mackie SamoskevichButs
Mackie Samoskevich
4
Mackie SamoskevichPasses
Mackie Samoskevich
9
Mackie SamoskevichPoints
Mackie Samoskevich
13
Mackie SamoskevichPlus/Moins
Mackie Samoskevich
9
Jakub DobesVictoires
Jakub Dobes
3
Jakub DobesPourcentage d’arrêts
Jakub Dobes
0.88

Statistiques d’équipe
Buts pour
27
4.50 GFG
Tirs pour
207
34.50 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
35.4%
Buts contre
26
4.33 GAA
Tirs contre
210
35.00 Avg
Pourcentage en désavantage numérique
35.7%%
9 GA
Début de la zone défensive
41.7%
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 BrownX100.00525494676574927250696976517475084670322500,000$
2Keegan Kolesar (A)X100.00857189687772927550686665506869081670292500,000$
3Mackie Samoskevich (R)XX100.00765591766573837650707260545861081660232500,000$
4Jeff Skinner (C)XX100.006556906971728375576673595179770836603312,000,000$
5Radek FaksaX100.00785979657772826680665470617676081640323500,000$
6Cole KoepkeX100.00826292667469836950646465506767082640271500,000$
7Beck MalenstynX100.00836184637567865861605167506869080610282700,000$
8Alexander HoltzX100.00655690677269706150635458535961080590242500,000$
9Samuel Helenius (R)X100.00846990667563676064585558505960082590233750,000$
10Ivan Ivan (R)XX100.00535590666964625955565756505960069570232500,000$
11Ben JonesX100.00747499606661555250534959506463074550274500,000$
12Georgii MerkulovX100.00503983576150535050505050505860030510251500,000$
13Ryker Evans (A)X100.00795979687175877550705871566165082670242500,000$
14Alec MartinezX100.00635793647374677350656372568884081660382700,000$
15Sean DurziX100.006166776871756274506763745667700836502711,000,000$
16Kaedan KorczakX100.00725696627466646950655170656165068630242500,000$
17Declan ChisholmX100.00635692656871806850615468556566081630262500,000$
Rayé
1Andre Lee (R)X100.00706783587558545550545055506060049540252500,000$
2Arshdeep BainsX100.00645089576560535250505054506261020530252500,000$
3Matej BlümelX100.00515089577350515050505050506061020510254500,000$
4Samuel BolducX100.00503595588261585050504949556163019540252500,000$
5Ryan JohnsonX100.00504740577050545050505050556062020520241500,000$
MOYENNE D’ÉQUIPE100.0067578764716670635360576253656606560
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)100.0073687079756563676565876265028670243750,000$
2Cayden Primeau100.0050656176615453555050596161082570264500,000$
Rayé
1Devon Levi100.0050646071505050505050505656033530241500,000$
MOYENNE D’ÉQUIPE100.005866647562565557555565606104859
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/RW6491392061929102413.79%315325.5900013000040052.80%12500001.6900000201
2Sean DurziFighting Pandas (OTT)D635894094104830.00%915425.780002302219000%000001.0300000020
3Connor BrownFighting Pandas (OTT)RW63588003823101313.04%411819.7700003000001066.67%900001.3500000011
4Ryker EvansFighting Pandas (OTT)D6448240169130230.77%1315626.041015410116100%000001.0200000111
5Jeff SkinnerFighting Pandas (OTT)LW/RW6347-10076329279.38%013222.06011171123121140.00%1000001.0600000000
6Keegan KolesarFighting Pandas (OTT)RW6426240951371230.77%18414.0700000000000050.00%200001.4200000001
7Alec MartinezFighting Pandas (OTT)D6055220499120%516026.760110300005000%000000.6200000000
8Cole KoepkeFighting Pandas (OTT)LW623564085223119.09%012520.9200003000010044.44%1800000.8000000000
9Radek FaksaFighting Pandas (OTT)C60440001117223120%212020.1600000000010066.67%12000000.6600000000
10Alexander HoltzFighting Pandas (OTT)RW6213-400371431114.29%111419.0100017000000063.64%1100000.5300000000
11Declan ChisholmFighting Pandas (OTT)D62135003261533.33%911919.920000200003000%000000.5000000000
12Beck MalenstynFighting Pandas (OTT)LW6022-2002062360%414824.7100000000000047.14%7000000.2700000000
13Samuel HeleniusFighting Pandas (OTT)C60221601135360%39015.0800000000000062.35%8500000.4400000000
14Ivan IvanFighting Pandas (OTT)C/LW6011300227280%08313.9100000000000033.33%300000.2400000000
Statistiques d’équipe totales ou en moyenne84274875402601121022075914713.04%54176220.9812310382355433157.17%45300000.8500000344
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)63110.8804.1332020221830000060000
2Cayden PrimeauFighting Pandas (OTT)10100.8525.4644004270000006000
Statistiques d’équipe totales ou en moyenne73210.8764.273652026210000066000


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$10,000$No700,000$--------700,000$--------No--------Lien / Lien NHL
Alexander HoltzFighting Pandas (OTT)RW242002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Andre LeeFighting Pandas (OTT)LW252000-07-26SWEYes206 Lbs6 ft5NoNoFree AgentNoNo22026-04-08FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm700,000$70,000$10,000$No700,000$--------700,000$--------No--------Lien / Lien NHL
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$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$7,143$No---------------------------Lien / Lien NHL
Connor BrownFighting Pandas (OTT)RW321994-01-14CANNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Devon LeviFighting Pandas (OTT)G242001-12-27CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Georgii MerkulovFighting Pandas (OTT)C252000-10-10RUSNo176 Lbs5 ft11NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$7,143$No---------------------------Lien / Lien NHL
Ivan IvanFighting Pandas (OTT)C/LW232002-08-20CZEYes190 Lbs6 ft0NoNoFree AgentNoNo22025-08-09FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Jakub DobesFighting Pandas (OTT)G242001-05-27CZEYes215 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm750,000$75,000$10,714$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$28,571$No---------------------------Lien / Lien NHL
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo202 Lbs6 ft3NoNoTrade2025-08-04NoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Matej BlümelFighting Pandas (OTT)RW252000-05-31CZENo205 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$7,143$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$7,143$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$7,143$No---------------------------Lien / Lien NHL
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Samuel BolducFighting Pandas (OTT)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$7,143$No500,000$--------500,000$--------No--------Lien / Lien NHL
Samuel HeleniusFighting Pandas (OTT)C232002-11-26USAYes201 Lbs6 ft6NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm750,000$75,000$10,714$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$14,286$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
1Lynx6330000027261321000001293312000001517-260.5002749760096120207726073221055281146116.67%14935.71%210117458.05%11420555.61%6511357.52%169125121377441
Total6330000027261321000001293312000001517-260.5002749760096120207726073221055281146116.67%14935.71%210117458.05%11420555.61%6511357.52%169125121377441
_Since Last GM Reset6330000027261321000001293312000001517-260.5002749760096120207726073221055281146116.67%14935.71%210117458.05%11420555.61%6511357.52%169125121377441
_Vs Conference6330000027261321000001293312000001517-260.5002749760096120207726073221055281146116.67%14935.71%210117458.05%11420555.61%6511357.52%169125121377441
_Vs Division6330000027261321000001293312000001517-260.5002749760096120207726073221055281146116.67%14935.71%210117458.05%11420555.61%6511357.52%169125121377441

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
66L1274976207210552811400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
63300002726
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000129
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
31200001517
Derniers 10 matchs
WLOTWOTL SOWSOL
320100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%14935.71%2
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
726073296120
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
10117458.05%11420555.61%6511357.52%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
169125121377441


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 Pandas5Lynx6LXSommaire du match
935Lynx3Fighting Pandas6WSommaire du match
1143Fighting Pandas6Lynx8LSommaire du match
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
38 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$ 2 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