Day : 95
WPG - 2
UTA - 4
DAL - 3
OTT - 7
LOS - 4
BUF - 3
SJS - 3
CAR - 2
TOR - 3
TBL - 0
CLB - 4
WSH - 8
VAN - 4
PHI - 2
ANH - 3
NJD - 4
MIN - 2
NYR - 3
FLA - 3
PIT - 2
GRG - 2
SAR - 5
PRO - 6
NOR - 1
HAM - 3
GAT - 2
CTW - 6
SJS - 5
Day : 96
(20-23-1) - L2
(9-33-5) - L2
(34-10-2) - W2
(22-21-4) - L2
(27-16-3) - L2
(10-34-4) - L2
(23-20-4) - W4
(33-6-3) - W2
(19-23-3) - L2
(14-27-1) - L3
(15-23-7) - W3
(24-17-2) - W2
(25-15-7) - OTL1
(25-14-5) - W1
(24-19-3) - L1
(14-26-4) - L1
(25-17-3) - OTL1
(31-8-5) - W5
(24-18-6) - W3
(28-15-2) - W4
(26-12-1) - W1
(26-18-2) - L1
(25-11-5) - W1
(25-19-6) - L2
(26-19-2) - W3
(26-14-3) - W1
(31-6-6) - L1
(31-27-1) - L1
(26-10-6) - W2
(26-19-4) - W2
(31-7-4) - W8
(31-11-4) - L3
(27-12-1) - W2
(27-18-5) - OTL1
(16-26-4) - L1
(16-19-2) - L1
(15-22-4) - W1
(15-23-4) - L1
(16-20-5) - W1
(16-30-0) - W1
(14-26-4) - L1
(14-19-1) - W1

Portland Crying Chiwawas
GP: 43 | W: 20 | L: 18 | OTL: 5 | P: 45
GF: 159 | GA: 170 | PP%: 21.80% | PK%: 79.41%
DG: Martin Mercier | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #712 vs Wilkes-Barre/Scranton Penguins
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Centre de jeu
Henderson Silver Knights
24-19-1, 49pts
2
FINAL
3 Portland Crying Chiwawas
20-18-5, 45pts
Team Stats
W1SéquenceOTL1
14-6-1Fiche domicile12-8-1
10-13-0Fiche domicile8-10-4
6-4-0Derniers 10 matchs4-5-1
4.07Buts par match 3.70
3.70Buts contre par match 3.95
23.91%Pourcentage en avantage numérique21.80%
77.12%Pourcentage en désavantage numérique79.41%
Portland Crying Chiwawas
20-18-5, 45pts
3
FINAL
4 Chicago Wolves
20-20-2, 42pts
Team Stats
OTL1SéquenceW2
12-8-1Fiche domicile11-9-2
8-10-4Fiche domicile9-11-0
4-5-1Derniers 10 matchs4-6-0
3.70Buts par match 3.12
3.95Buts contre par match 3.79
21.80%Pourcentage en avantage numérique15.22%
79.41%Pourcentage en désavantage numérique72.85%
Wilkes-Barre/Scranton Penguins
27-12-1, 55pts
Jour 96
Portland Crying Chiwawas
20-18-5, 45pts
Statistiques d’équipe
W2SéquenceOTL1
17-4-1Fiche domicile12-8-1
10-8-0Fiche visiteur8-10-4
7-3-010 derniers matchs4-5-1
4.55Buts par match 3.70
3.03Buts contre par match 3.70
32.35%Pourcentage en avantage numérique21.80%
78.03%Pourcentage en désavantage numérique79.41%
Springfield Falcons
22-19-2, 46pts
Jour 99
Portland Crying Chiwawas
20-18-5, 45pts
Statistiques d’équipe
L1SéquenceOTL1
11-8-2Fiche domicile12-8-1
11-11-0Fiche visiteur8-10-4
9-1-010 derniers matchs4-5-1
3.93Buts par match 3.70
3.72Buts contre par match 3.70
23.81%Pourcentage en avantage numérique21.80%
81.15%Pourcentage en désavantage numérique79.41%
Portland Crying Chiwawas
20-18-5, 45pts
Jour 100
Grand Rapids Griffins
17-27-1, 35pts
Statistiques d’équipe
OTL1SéquenceL3
12-8-1Fiche domicile12-8-1
8-10-4Fiche visiteur5-19-0
4-5-110 derniers matchs4-6-0
3.70Buts par match 3.33
3.95Buts contre par match 3.33
21.80%Pourcentage en avantage numérique17.90%
79.41%Pourcentage en désavantage numérique78.20%
Meneurs d'équipe
Buts
Juuso Pärssinen
19
Passes
Artyom Galimov
35
Points
Artyom Galimov
51
Plus/Moins
Braydyn Chizen
13
Victoires
Evan Fitzpatrick
20
Pourcentage d’arrêts
Garret Sparks
0.912

Statistiques d’équipe
Buts pour
159
3.70 GFG
Tirs pour
1413
32.86 Avg
Pourcentage en avantage numérique
21.8%
29 GF
Début de zone offensive
37.7%
Buts contre
170
3.95 GAA
Tirs contre
1358
31.58 Avg
Pourcentage en désavantage numérique
79.4%%
28 GA
Début de la zone défensive
35.5%
Informations de l'équipe

Directeur généralMartin Mercier
EntraîneurValeri Bragin
DivisionLeetch
ConférenceFortunus
CapitaineConnor Bunnaman
Assistant #1Nazem Kadri
Assistant #2Adam Wilsby


Informations de l’aréna

Capacité3,000
Assistance2,679
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs32


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 moyen
1Gabriel Fortier (R)XX100.0077258480758483787373726978777665000242900,000$
2Connor Bunnaman (R) (C)XX100.00803087818483858076757473738791650002621,900,000$
3Parker Kelly (R)XX100.00794086817584867974747371758177650002511,700,000$
4Lucas Feuk (R)XXX100.00654083788084827773727165747170650002341,500,000$
5Nazem Kadri (A)XXX100.00673597807778788278757565839999150003421,300,000$
6John Beecher (R)XX100.0076357878858280787474737374727565000232900,000$
7Juuso Pärssinen (R)XX100.0078358280848281797674746979717375000231900,000$
8Mathias Emilio Pettersen (R)XX100.0060258985708479797573726675747365000241800,000$
9Arnaud Durandeau (R)X100.0080358679788085797373747274777365000251800,000$
10Artyom Galimov (R)XX100.0072358480768285817475746976757075000251900,000$
11Justin Robidas (R)X100.0064259478737981787473717174656965000211900,000$
12Troy TerryXX100.00582598857584848573747468957676650002711,200,000$
13Filip ChlapikX100.00773581838387848275767370728280650002711,500,000$
14Sean Day (R)X100.00864081778677777750726488597776650002611,300,000$
15Jett Woo (R)X100.0084507480808182765272658661716965000242850,000$
16Filip BerglundX100.00853590758479797850756887617877650002711,975,000$
17Lucas JohansenX100.00713385817985728050747088627876650002711,500,000$
18Adam Wilsby (R) (A)X100.00764078788082787752726287717877550002411,250,000$
19Cody DonagheyX100.008235827880787176507568886175805500N02831,950,000$
20Braydyn Chizen (R)X100.0091477673918278735070648860737355000261900,000$
Rayé
1Nikolai Hakala (R)X100.0076358275847675767271706774646465000211750,000$
2Henry Thrun (R)X74.9675258080838282805376648865727475000233900,000$
3Luke Green (R)X100.00834077787979637550716484657475550002611,200,000$
MOYENNE D’ÉQUIPE98.877635847980818078657370767176766500
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 moyen
1Daniil Tarasov (R)100.0086838588878487868687856865850002531,500,000$
2Evan Fitzpatrick (R)100.0089868788908887888789876664850002611,400,000$
Rayé
1Matthew Villalta (R)100.0084818488868283838482826968650002511,200,000$
2Garret Sparks100.0086818385898890878787867476150003111,200,000$
MOYENNE D’ÉQUIPE100.00868385878886878686868569686500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Valeri Bragin72838285788370RUS6831,500,000$


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 POSGP 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
1Artyom GalimovC/LW43163551-51755330121378513.22%872916.974141826123000002046.37%4275012001.4000000251
2Nazem KadriC/LW/RW43162844-8002626127358112.60%1173117.006101627123000001160.42%48765001.2002000222
3Connor BunnamanC/LW43162339-5805858114406814.04%1988020.4867132612400041681257.69%2346011000.8900000311
4Juuso PärssinenC/LW4219183732605853116397616.38%1564615.3802216780002333146.06%3934310011.1501000331
5Troy TerryC/RW431612280001423108407014.81%562814.61527241010002281050.00%40745000.8913000004
6John BeecherC/LW38141226-10140733674235518.92%1263216.651341088000000150.71%211289010.8200000211
7Justin RobidasC45131225-1520273061222921.31%1656512.5653811104000000049.69%491209000.8800000103
8Arnaud DurandeauLW421113244120472893324511.83%1056813.55000011013344050.00%244111000.8401000212
9Filip ChlapikC431112232200486083284813.25%1868215.8700000000111611151.76%5975113000.6700000120
10Parker KellyC/RW4381018-380292470164511.43%1246010.71000000111351047.83%92385000.7800000101
11Lucas FeukC/LW/RW4371118-212020177128379.86%1656413.1300000000130065.22%23305010.6400000100
12Mathias Emilio PettersenC/LW4381018220132978265510.26%1246010.7000000000003051.98%177493000.7800000010
13Jett WooD3331215338056485016116.00%3965319.822138105000234000.00%0228000.4600000110
14Gabriel FortierC/LW433111406042304824506.25%1043110.03000010001170053.85%26285000.6513000010
15Filip BerglundD435813-200397142232511.90%6572816.95235892011283100.00%0332000.3600000110
16Cody DonagheyD3421012-218043504722234.26%4570220.66022590000287100.00%0531000.3400000100
17Sean DayD432810-1610050723423175.88%5465515.2410164700005000.00%0232000.3100000011
18Adam WilsbyD431910-620050835624281.79%6587320.310112380001134010.00%0152000.2300000001
19Braydyn ChizenD3619101338054524222142.38%4956015.5600001000029010.00%0126000.3600000001
20Yegor ZamulaD13459-3601724166925.00%1625519.62202537000114000.00%0617000.7100000001
21Luke GreenD340772803127139100.00%2941712.27011227000129000.00%0317000.3400000001
22Henry ThrunD18134-13801933223114.55%2132017.82011011000131000.00%0215000.2500000000
23Nikolai HakalaC10022-6001178270.00%111711.75011013000000050.57%8734000.3400000000
24Zach HymanC/LW/RW320111005207220.00%81364.260000101161110042.11%1922000.1500000000
25Lucas JohansenD1000000211010.00%52020.350000100001000.00%002000.0000000000
Statistiques d’équipe totales ou en moyenne894177281458-662735885932150254290211.78%5611342215.01345185176121613441104719850.26%2889618361030.68210000212021
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
1Evan FitzpatrickPortland Crying Chiwawas (SEA)3220540.9003.0818126093930464300.00002911112
2Daniil TarasovPortland Crying Chiwawas (SEA)35161620.8773.951975001301057560200.8005349201
3Garret SparksPortland Crying Chiwawas (SEA)84020.9122.46415001719397000.5002621100
4Matthew VillaltaPortland Crying Chiwawas (SEA)40200.7957.0814400178343000.0000213000
Statistiques d’équipe totales ou en moyenne79402380.8863.55434860257226311645077154413


Nom du joueur POS Âge Date de naissance Termes Contrat Cap % Année 2024Année 2025Année 2026Année 2027Année 2028Année 2029Année 2030
Attaquant
Arnaud DurandeauLW251999-01-02TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 26]
Artyom GalimovC/LW251999-01-02TW 10.00%900,000$RFA ( Groupe: 2 ) [Age: 26]
Connor BunnamanC/LW261998-01-02TW 20.00%1,900,000$1,900,000$UFA [Age: 28]
Filip ChlapikC271997-01-22TW 10.00%1,500,000$UFA [Age: 28]
Gabriel FortierC/LW242000-01-02TW 20.00%900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
John BeecherC/LW232001-01-02TW 20.00%900,000$900,000$RFA ( Groupe: 2 ) [Age: 25]
Justin RobidasC212003-01-02TW 10.00%900,000$RFA ( Groupe: 1 )[Age: 22]
Juuso PärssinenC/LW232001-01-02TW 10.00%900,000$RFA ( Groupe: 2 ) [Age: 24]
Lucas FeukC/LW/RW232001-01-02TW 40.00%1,500,000$1,500,000$1,500,000$1,500,000$RFA ( Groupe: 2 ) [Age: 27]
Mathias Emilio PettersenC/LW242000-01-02TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 25]
Nazem KadriC/LW/RW341990-01-22TW 20.00%1,300,000$1,300,000$UFA [Age: 36]
Nikolai HakalaC212003-01-02TW 10.00%750,000$RFA ( Groupe: 1 )[Age: 22]
Parker KellyC/RW251999-01-02TW 10.00%1,700,000$RFA ( Groupe: 2 ) [Age: 26]
Troy TerryC/RW271997-01-22TW 10.00%1,200,000$UFA [Age: 28]
MOYENNE (14)24.860.00%0$6,500,000$1,500,000$1,500,000$0$0$0$
Défenseur
Adam WilsbyD242000-01-02TW 10.00%1,250,000$RFA ( Groupe: 2 ) [Age: 25]
Braydyn ChizenD261998-01-22TW 10.00%900,000$RFA ( Groupe: 2 ) [Age: 27]
Cody DonagheyD281996-01-22NT TW 30.00%1,950,000$1,950,000$1,950,000$UFA [Age: 31]
Filip BerglundD271997-01-22TW 10.00%1,975,000$UFA [Age: 28]
Henry ThrunD232001-01-02IN TW 30.00%900,000$900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Jett WooD242000-01-02TW 20.00%850,000$850,000$RFA ( Groupe: 2 ) [Age: 26]
Lucas JohansenD271997-01-02TW 10.00%1,500,000$UFA [Age: 28]
Luke GreenD261998-01-22TW 10.00%1,200,000$RFA ( Groupe: 2 ) [Age: 27]
Sean DayD261998-01-02TW 10.00%1,300,000$RFA ( Groupe: 2 ) [Age: 27]
MOYENNE (9)25.670.00%0$3,700,000$2,850,000$0$0$0$0$
Gardiens
Daniil TarasovG251999-01-02TW 30.00%1,500,000$1,500,000$1,500,000$UFA [Age: 28]
Evan FitzpatrickG261998-01-22TW 10.00%1,400,000$RFA ( Groupe: 2 ) [Age: 27]
Garret SparksG311993-01-22TW 10.00%1,200,000$UFA [Age: 32]
Matthew VillaltaG251999-01-22TW 10.00%1,200,000$RFA ( Groupe: 2 ) [Age: 26]

Légendes des Termes : FV = Ballotage forcé / NT = Non-échange / IN = Blessure / TW = Contract Deux Côté ('Can Play Pro' + 'Can Play Farm')

Note: Les montants de cap salarial pour l’année courant et le % de cap salariale sont basé sur un calcul du plafond salariale simple (Salaire Moyen ou Salaire de l’année selon vos options). Si votre plafond salarial est basé sur la calcul complexe, les résultats de cette analyse pourrait être légèrement incorrects. Le plafond salarial professionnel de l’année en cours est : 89,000,050$.




Attaque à 5 contre 5
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Artyom GalimovJohn BeecherNazem Kadri30014
2Connor BunnamanJuuso PärssinenLucas Feuk30014
3Arnaud DurandeauFilip ChlapikTroy Terry25014
4Mathias Emilio PettersenJustin RobidasParker Kelly15023
Défense à 5 contre 5
Ligne # Défense Défense % temps PHY DF OF
1Cody DonagheyLucas Johansen35014
2Adam WilsbyJett Woo32014
3Filip BerglundSean Day28014
4Adam WilsbyBraydyn Chizen5014
Attaque en avantage numérique
Ligne # Ailier gauche Centre Ailier droit % temps PHY DF OF
1Connor BunnamanArtyom GalimovNazem Kadri60005
2Juuso PärssinenJohn BeecherTroy Terry40005
Défense en avantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Adam WilsbyJett Woo60005
2Lucas JohansenCody Donaghey40005
Attaque à 4 en désavantage numérique
Ligne # Centre Ailier % temps PHY DF OF
1Filip ChlapikConnor Bunnaman60050
2Parker KellyArnaud Durandeau40050
Défense à 4 en désavantage numérique
Ligne # Défense Défense % temps PHY DF OF
1Adam WilsbyCody Donaghey60050
2Braydyn ChizenFilip Berglund40050
3 joueurs en désavantage numérique
Ligne # Ailier % temps PHY DF OF Défense Défense % temps PHY DF OF
1Connor Bunnaman60050Adam WilsbyBraydyn Chizen60050
2Filip Chlapik40050Cody DonagheyFilip Berglund40050
Attaque à 4 contre 4
Ligne # Centre Ailier % temps PHY DF OF
1Justin RobidasGabriel Fortier60014
2Filip ChlapikArnaud Durandeau40014
Défense à 4 contre 4
Ligne # Défense Défense % temps PHY DF OF
1Adam WilsbyFilip Berglund60014
2Cody DonagheyLucas Johansen40014
Attaque dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Artyom GalimovJohn BeecherNazem KadriLucas JohansenBraydyn Chizen
Défense dernière minute
Ailier gauche Centre Ailier droit Défense Défense
Connor BunnamanFilip ChlapikParker KellyBraydyn ChizenAdam Wilsby
Attaquants supplémentaires
Normal Avantage numérique Désavantage numérique
Connor Bunnaman, Artyom Galimov, Justin RobidasGabriel Fortier, Mathias Emilio PettersenTroy Terry
Défenseurs supplémentaires
Normal Avantage numérique Désavantage numérique
Braydyn Chizen, Cody Donaghey, Adam WilsbyAdam WilsbyJett Woo, Lucas Johansen
Tirs de pénalité
Troy Terry, Gabriel Fortier, Nazem Kadri, Juuso Pärssinen, Artyom Galimov
Gardien
#1 : Evan Fitzpatrick, #2 : Daniil Tarasov
Lignes d’attaque personnalisées en prolongation
Connor Bunnaman, Juuso Pärssinen, Nazem Kadri, Gabriel Fortier, Mathias Emilio Pettersen, Troy Terry, Troy Terry, John Beecher, Artyom Galimov, Lucas Feuk, Filip Chlapik
Lignes de défense personnalisées en prolongation
Braydyn Chizen, Cody Donaghey, Lucas Johansen, Filip Berglund, Jett Woo


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
1Albany Devils210000011064110000008351000000123-130.750101424006649414695324224491861358578225.00%4175.00%042088247.62%43482952.35%33762653.83%1010670945335642323
2Binghamton Senators1010000035-21010000035-20000000000000.00034700664941434532422449183214826300.00%4175.00%042088247.62%43482952.35%33762653.83%1010670945335642323
3Blainville-Boisbriand Armada2020000047-3000000000002020000047-300.00048120066494146253242244918772116354250.00%8275.00%042088247.62%43482952.35%33762653.83%1010670945335642323
4Bridgeport Sound Tigers1010000014-31010000014-30000000000000.00011200664941439532422449183012224000%10100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
5Chicago Wolves2010010058-31010000024-21000010034-110.250510150066494147153242244918512817465120.00%7271.43%042088247.62%43482952.35%33762653.83%1010670945335642323
6Chicoutimi Saguenéens11000000651000000000001100000065121.00061016006649414395324224491824126316233.33%3166.67%042088247.62%43482952.35%33762653.83%1010670945335642323
7Chisinau Pelicans2110000067-1000000000002110000067-120.50069150066494146253242244918602012366350.00%60100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
8Connecticut Whale1000010034-11000010034-10000000000010.50035800664941441532422449182510227200.00%10100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
9Danbury Trashers1010000035-21010000035-20000000000000.0003580066494142453242244918316621100.00%3233.33%042088247.62%43482952.35%33762653.83%1010670945335642323
10Gatineau Olympiques11000000642000000000001100000064221.0006915006649414355324224491831132186233.33%10100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
11Hamilton Bulldogs11000000422110000004220000000000021.00047110066494143853242244918289618600.00%30100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
12Henderson Silver Knights642000002522354100000211651010000046-280.6672543680066494141745324224491820893649718422.22%33778.79%042088247.62%43482952.35%33762653.83%1010670945335642323
13Houston Aeros220000001156110000006241100000053241.0001120310066494145853242244918472110337114.29%5180.00%042088247.62%43482952.35%33762653.83%1010670945335642323
14Joliette Sportif11000000642110000006420000000000021.0006101600664941428532422449183758113133.33%40100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
15Lake Erie Monsters211000008621010000023-11100000063320.500815230066494146953242244918572016446233.33%8187.50%142088247.62%43482952.35%33762653.83%1010670945335642323
16Laval Chiefs10001000541100010005410000000000021.0005914006649414365324224491824100254125.00%000%042088247.62%43482952.35%33762653.83%1010670945335642323
17Manitoba Moose1010000038-5000000000001010000038-500.000369006649414325324224491837101017200.00%5260.00%042088247.62%43482952.35%33762653.83%1010670945335642323
18Milwaukee Admirals1000000167-1000000000001000000167-110.50061117006649414345324224491830196193266.67%30100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
19Norfolk Admirals1010000012-11010000012-10000000000000.00012300664941431532422449182380204125.00%000%042088247.62%43482952.35%33762653.83%1010670945335642323
20Providence Bruins21100000811-31010000028-61100000063320.50081422006649414705324224491882251228200.00%6266.67%042088247.62%43482952.35%33762653.83%1010670945335642323
21Quebec Stars10001000431000000000001000100043121.0004711006649414365324224491828216204125.00%3166.67%042088247.62%43482952.35%33762653.83%1010670945335642323
22Roberval Dwarfs11000000431110000004310000000000021.0004610006649414275324224491832121424300.00%7185.71%042088247.62%43482952.35%33762653.83%1010670945335642323
23San Antonio Rampage1010000016-5000000000001010000016-500.0001230066494143453242244918357222300.00%10100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
24San Jose Barracuda412000101617-11100000093630200010714-740.5001624400066494141385324224491812959228017317.65%11372.73%042088247.62%43482952.35%33762653.83%1010670945335642323
25The Nuuk Vikings2110000045-1110000003211010000013-220.5004711006649414655324224491871231232600.00%6183.33%042088247.62%43482952.35%33762653.83%1010670945335642323
26Trois-Rivières Lions1010000025-3000000000001010000025-300.000235006649414305324224491834104202150.00%20100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
27Wilkes-Barre/Scranton Penguins1000010045-1000000000001000010045-110.500481200664941437532422449183411223200.00%10100.00%042088247.62%43482952.35%33762653.83%1010670945335642323
Total43171802312159170-1121118011008374922610012127696-20450.52315926942800664941414135324224491813585342738541332921.80%1362879.41%142088247.62%43482952.35%33762653.83%1010670945335642323
_Since Last GM Reset43171802312159170-1121118011008374922610012127696-20450.52315926942800664941414135324224491813585342738541332921.80%1362879.41%142088247.62%43482952.35%33762653.83%1010670945335642323
_Vs Conference23910002118695-9137500100544771025001113248-16230.5008614423000664941474753242244918742297140449661116.67%711874.65%042088247.62%43482952.35%33762653.83%1010670945335642323
_Vs Division18750001071665116100000503515714000102131-10160.4447111919000664941458553242244918579240131327651218.46%651380.00%042088247.62%43482952.35%33762653.83%1010670945335642323

Total pour les joueurs
Matchs joués Points Séquence Buts Passes Points Tirs pour Tirs contre Tirs bloqués Minutes de pénalités Mises en échec Buts en filet désert Blanchissages
4345OTL11592694281413135853427385400
Tous les matchs
GP W L OTW OTL SOWSOL GF GA
4317182312159170
Matchs locaux
GP W L OTW OTL SOWSOL GF GA
2111811008374
Matchs extérieurs
GP W L OTW OTL SOWSOL GF GA
2261012127696
Derniers 10 matchs
W L OTW OTL SOWSOL
450100
Tentatives en avantage numérique Buts en avantage numérique % en avantage numérique Tentatives en désavantage numérique Buts contre en désavantage numérique % en désavantage numérique Buts pour en désavantage numérique
1332921.80%1362879.41%1
Tirs en 1e période Tirs en 2e période Tirs en 3e période Tirs en 4e période Buts en 1e période Buts en 2e période Buts en 3e période Buts en 4e période
532422449186649414
Mises en jeu
Gagnées en zone offensive Total en zone offensive % gagnées en zone offensive Gagnées en zone défensive Total en zone défensive % gagnées en zone défensive Gagnées en zone neutre Total en zone neutre % gagnées en zone neutre
42088247.62%43482952.35%33762653.83%
Temps avec la rondelle
En zone offensive Contrôle en zone offensive En zone défensive Contrôle en zone défensive En zone neutre Contrôle en zone neutre
1010670945335642323


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
Jour:2
213Henderson Silver Knights2Portland Crying Chiwawas7WSommaire du match
Jour:6
641Henderson Silver Knights1Portland Crying Chiwawas4WSommaire du match
Jour:8
854Portland Crying Chiwawas4Henderson Silver Knights6LSommaire du match
Jour:9
971Henderson Silver Knights4Portland Crying Chiwawas6WSommaire du match
Jour:12
1286Portland Crying Chiwawas1San Antonio Rampage6LSommaire du match
Jour:15
15102Portland Crying Chiwawas3San Jose Barracuda2WXXSommaire du match
Jour:17
17114Joliette Sportif4Portland Crying Chiwawas6WSommaire du match
Jour:19
19130Portland Crying Chiwawas3Manitoba Moose8LSommaire du match
Jour:20
20141Portland Crying Chiwawas3Chisinau Pelicans6LSommaire du match
Jour:22
22155San Jose Barracuda3Portland Crying Chiwawas9WSommaire du match
Jour:25
25179Lake Erie Monsters3Portland Crying Chiwawas2LSommaire du match
Jour:26
26193Portland Crying Chiwawas6Milwaukee Admirals7LXXSommaire du match
Jour:28
28211Henderson Silver Knights7Portland Crying Chiwawas1LSommaire du match
Jour:30
30231Portland Crying Chiwawas2Blainville-Boisbriand Armada3LSommaire du match
Jour:32
32247Chicago Wolves4Portland Crying Chiwawas2LSommaire du match
Jour:37
37270Portland Crying Chiwawas3San Jose Barracuda5LSommaire du match
Jour:39
39282Laval Chiefs4Portland Crying Chiwawas5WXSommaire du match
Jour:41
41303Danbury Trashers5Portland Crying Chiwawas3LSommaire du match
Jour:44
44328Portland Crying Chiwawas6Providence Bruins3WSommaire du match
Jour:45
45336Portland Crying Chiwawas6Gatineau Olympiques4WSommaire du match
Jour:47
47349Providence Bruins8Portland Crying Chiwawas2LSommaire du match
Jour:50
50368Portland Crying Chiwawas4Quebec Stars3WXSommaire du match
Jour:51
51380Albany Devils3Portland Crying Chiwawas8WSommaire du match
Jour:54
54405Houston Aeros2Portland Crying Chiwawas6WSommaire du match
Jour:56
56425Portland Crying Chiwawas2Albany Devils3LXXSommaire du match
Jour:57
57438The Nuuk Vikings2Portland Crying Chiwawas3WSommaire du match
Jour:60
60464Portland Crying Chiwawas4Wilkes-Barre/Scranton Penguins5LXSommaire du match
Jour:62
62474Hamilton Bulldogs2Portland Crying Chiwawas4WSommaire du match
Jour:63
63494Binghamton Senators5Portland Crying Chiwawas3LSommaire du match
Jour:67
67508Portland Crying Chiwawas3Chisinau Pelicans1WSommaire du match
Jour:69
69523Portland Crying Chiwawas2Trois-Rivières Lions5LSommaire du match
Jour:70
70536Connecticut Whale4Portland Crying Chiwawas3LXSommaire du match
Jour:72
72554Portland Crying Chiwawas5Houston Aeros3WSommaire du match
Jour:74
74572Roberval Dwarfs3Portland Crying Chiwawas4WSommaire du match
Jour:76
76587Portland Crying Chiwawas6Lake Erie Monsters3WSommaire du match
Jour:78
78601Portland Crying Chiwawas1The Nuuk Vikings3LSommaire du match
Jour:80
80611Bridgeport Sound Tigers4Portland Crying Chiwawas1LSommaire du match
Jour:82
82629Portland Crying Chiwawas1San Jose Barracuda7LSommaire du match
Jour:84
84642Norfolk Admirals2Portland Crying Chiwawas1LSommaire du match
Jour:86
86651Portland Crying Chiwawas6Chicoutimi Saguenéens5WSommaire du match
Jour:90
90675Portland Crying Chiwawas2Blainville-Boisbriand Armada4LSommaire du match
Jour:91
91684Henderson Silver Knights2Portland Crying Chiwawas3WSommaire du match
Jour:94
94701Portland Crying Chiwawas3Chicago Wolves4LXSommaire du match
Jour:96
96712Wilkes-Barre/Scranton Penguins-Portland Crying Chiwawas-
Jour:99
99739Springfield Falcons-Portland Crying Chiwawas-
Jour:100
100753Portland Crying Chiwawas-Grand Rapids Griffins-
Jour:102
102766Portland Crying Chiwawas-San Antonio Rampage-
Jour:104
104777Portland Crying Chiwawas-Manitoba Moose-
Jour:105
105787Verdun Junior-Portland Crying Chiwawas-
Jour:109
109813Joliette Sportif-Portland Crying Chiwawas-
Jour:111
111841Portland Crying Chiwawas-Rochester Americans-
Jour:112
112845Henderson Silver Knights-Portland Crying Chiwawas-
Jour:117
117873Houston Aeros-Portland Crying Chiwawas-
Jour:119
119896Joliette Sportif-Portland Crying Chiwawas-
Jour:122
122910Portland Crying Chiwawas-Houston Aeros-
Jour:125
125934Chisinau Pelicans-Portland Crying Chiwawas-
Jour:127
127948Portland Crying Chiwawas-Joliette Sportif-
Jour:128
128963Trois-Rivières Lions-Portland Crying Chiwawas-
Jour:130
130982Portland Crying Chiwawas-Milwaukee Admirals-
Jour:132
132990Portland Crying Chiwawas-Bridgeport Sound Tigers-
Jour:134
1341005Lake Erie Monsters-Portland Crying Chiwawas-
Jour:137
1371029Portland Crying Chiwawas-Norfolk Admirals-
Jour:138
1381039Verdun Junior-Portland Crying Chiwawas-
Jour:143
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1431065Chicago Wolves-Portland Crying Chiwawas-
Jour:147
1471091Portland Crying Chiwawas-The Nuuk Vikings-
Jour:149
1491100Rochester Americans-Portland Crying Chiwawas-
Jour:151
1511113Portland Crying Chiwawas-Springfield Falcons-
Jour:152
1521126Portland Crying Chiwawas-Charlotte Checkers-
Jour:154
1541141Rochester Americans-Portland Crying Chiwawas-
Jour:156
1561160Chicago Wolves-Portland Crying Chiwawas-
Jour:161
1611194San Antonio Rampage-Portland Crying Chiwawas-
Jour:162
1621206Portland Crying Chiwawas-Henderson Silver Knights-
Jour:164
1641222San Jose Barracuda-Portland Crying Chiwawas-
Jour:167
1671235Portland Crying Chiwawas-Danbury Trashers-
Jour:170
1701258Manitoba Moose-Portland Crying Chiwawas-
Jour:172
1721268Portland Crying Chiwawas-Springfield Falcons-
Jour:176
1761291San Jose Barracuda-Portland Crying Chiwawas-
Jour:179
1791321Charlotte Checkers-Portland Crying Chiwawas-
Jour:180
1801323Portland Crying Chiwawas-Connecticut Whale-
Jour:181
1811329Portland Crying Chiwawas-Lake Erie Monsters-
Jour:187
1871352Portland Crying Chiwawas-San Antonio Rampage-
Jour:188
1881353Portland Crying Chiwawas-Henderson Silver Knights-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1 Niveau 2

Revenu
Matchs à domicile restants Assistance moyenne - % Revenu moyen par match Revenu annuel à ce jour Capacité Popularité de l’équipe

Dépenses
Dépenses annuelles à ce jour Salaire total des joueurs Salaire total moyen des joueurs Salaire des entraineurs
Plafond salarial par jour Plafond salarial à ce jour Joueurs Inclus dans le plafond salarial Joueurs exclut du plafond Salarial

Estimation
Revenus de la saison estimés Jours restants de la saison Dépenses par jour Dépenses de la saison estimées




Portland Crying Chiwawas 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

Portland Crying Chiwawas 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

Portland Crying Chiwawas Statistiques de l'Équipe de Carrière

Total Domicile Visiteur
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

Portland Crying Chiwawas 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

Portland Crying Chiwawas 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