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Seattle Metropolitans
GP: 80 | W: 37 | L: 34 | OTL: 9 | P: 83
GF: 228 | GA: 231 | PP%: 23.26% | PK%: 82.97%
DG: Mat Sheridan | Morale : 65 | Moyenne d’équipe : N/A
Prochains matchs #1293 vs Dallas Flaming Dragons

Centre de jeu
Seattle Metropolitans
37-34-9, 83pts
1
3 Trail Smoke Eaters
41-34-5, 87pts
Team Stats
W1SéquenceL1
19-18-3Fiche domicile26-12-2
18-16-6Fiche domicile15-22-3
4-4-2Derniers 10 matchs6-4-0
2.85Buts par match 3.15
2.89Buts contre par match 3.10
23.26%Pourcentage en avantage numérique18.77%
82.97%Pourcentage en désavantage numérique77.65%
Seattle Metropolitans
37-34-9, 83pts
5
2 Cleveland Barons
48-21-11, 107pts
Team Stats
W1SéquenceL2
19-18-3Fiche domicile25-9-6
18-16-6Fiche domicile23-12-5
4-4-2Derniers 10 matchs4-3-3
2.85Buts par match 3.51
2.89Buts contre par match 3.03
23.26%Pourcentage en avantage numérique24.22%
82.97%Pourcentage en désavantage numérique77.70%
Dallas Flaming Dragons
43-27-8, 94pts
Jour 157
Seattle Metropolitans
37-34-9, 83pts
Statistiques d’équipe
L1SéquenceW1
21-15-4Fiche domicile19-18-3
22-12-4Fiche visiteur18-16-6
4-6-010 derniers matchs4-4-2
3.31Buts par match 2.85
2.88Buts contre par match 2.85
17.36%Pourcentage en avantage numérique23.26%
78.81%Pourcentage en désavantage numérique82.97%
Seattle Metropolitans
37-34-9, 83pts
Jour 159
Eagle Mountain Orioles
43-32-4, 90pts
Statistiques d’équipe
W1SéquenceW4
19-18-3Fiche domicile22-15-3
18-16-6Fiche visiteur21-17-1
4-4-210 derniers matchs9-0-1
2.85Buts par match 3.19
2.89Buts contre par match 3.19
23.26%Pourcentage en avantage numérique20.00%
82.97%Pourcentage en désavantage numérique79.94%
Meneurs d'équipe
Buts
Danila Yurov
28
Passes
Dillon Heatherington
42
Points
Danila Yurov
61
Plus/Moins
Dillon Heatherington
4
Victoires
Henrik Tikkanen
22
Pourcentage d’arrêts
Pheonix Copley
0.926

Statistiques d’équipe
Buts pour
228
2.85 GFG
Tirs pour
2440
30.50 Avg
Pourcentage en avantage numérique
23.3%
67 GF
Début de zone offensive
40.2%
Buts contre
231
2.89 GAA
Tirs contre
2650
33.13 Avg
Pourcentage en désavantage numérique
83.0%%
47 GA
Début de la zone défensive
42.9%
Informations de l'équipe

Directeur généralMat Sheridan
EntraîneurMike Yeo
DivisionMetropolitan Division
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,930
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure19
Limite contact 42 / 50
Espoirs31


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
1Aidan Thompson (R)XX100.0053508365496464647362586058272706500233600,000$
2Aleksanteri Kaskimaki (R)X100.0055509668606972667759566056343506500213700,000$
3Alexander Perevalov (R)X100.0058509465626464645056546054252606500213700,000$
4Danila Yurov (R)XX100.0060509369396666667557596159373706500213900,000$
5Chase Yoder (R)X100.0050508666706363627552525953363406500231400,000$
6William Stromgren (R)X97.0070509369566975665062576154353406400222800,000$
7Ayrton Martino (R)X100.0058509365306363635060616155322806500222750,000$
8Owen McLaughlin (R)X100.0050509565296363637560525855312806500222300,000$
9Oskar Pettersson (R)XX98.0075508967756973677354556155343506500213700,000$
10Sandis Vilmanis (R)X100.0060509467596971665058556155283006500213500,000$
11Nick Capone (R)X100.0065557666826465625252505954363106600231450,000$
12Ryder Rolston (R)XX100.0050509468426972637057576254363106500231500,000$
13Kyle Masters (R)X98.0058509166446464634054576554342906500222500,000$
14Anton Johansson (R)X98.0075507066336970664054576757343406500213600,000$
15Domenick FensoreX97.0060538570466974674057586958503606600231715,000$
16Michael Karow (R)X100.0060537670686975614054536750433906400261605,000$
17Michael Fisher (R)X100.0041506461785454604053516051262505000213700,000$
18Nolan Collins (R)X100.0065636662805959654054536453252802100213400,000$
19Dillon HeatheringtonX100.0063538469818387684062606859606106700301660,000$
Rayé
1Chad Yetman (R)X100.0050508966486363615257535957373101900251400,000$
2Ryan Chesley (R)X100.0053506765626465654054576457282804400213900,000$
MOYENNE D’ÉQUIPE99.435951856657666864545755625535330590
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
1Henrik Tikkanen (R)98.007463609976757475767774373702300241300,000$
2Pheonix Copley100.007365658879807880797577666606000331900,000$
Rayé
MOYENNE D’ÉQUIPE99.00746463947878767878767652520420
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo86758074909350CAN4931$


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
1Danila YurovSeattle Metropolitans (NYI)C/RW80283361122063882106213413.33%10145818.2491221492330000143545.59%13600100.8404000541
2Dillon HeatheringtonSeattle Metropolitans (NYI)D76154257459510385175451028.57%96148619.5691625931960000153200%000010.7712100233
3William StromgrenSeattle Metropolitans (NYI)LW80193150-1440159100232561808.19%19172921.62611174523100092614038.06%13400000.5816000233
4Domenick FensoreSeattle Metropolitans (NYI)D80103949-32354497145481166.90%105180522.5791322892360003234010%000000.5400001015
5Oskar PetterssonSeattle Metropolitans (NYI)C/RW80202848-33601761191984611710.10%12155919.49515203921500022304150.53%104500000.6205000452
6Anton JohanssonSeattle Metropolitans (NYI)D80103747-89801987713949717.19%113180822.6151015692160001197220%000000.5200000324
7Aidan ThompsonSeattle Metropolitans (NYI)C/LW80162440224048148136399811.76%15129916.241455260000561347.30%161100000.6212000043
8Aleksanteri KaskimakiSeattle Metropolitans (NYI)C80152338-410028169161581359.32%16145518.19214163321700021223150.88%187700000.5235000214
9Kyle MastersSeattle Metropolitans (NYI)D80141933-102205549129357610.85%93165520.7010212682140001158200%000000.4000000122
10Ryder RolstonSeattle Metropolitans (NYI)C/RW80161733-1518039761414412311.35%12114414.312810362290001321143.24%14800000.5800000011
11Ayrton MartinoSeattle Metropolitans (NYI)LW8013193222203270160431038.13%16111713.973478150000172136.25%8000000.5700000122
12Sandis VilmanisSeattle Metropolitans (NYI)LW8082028-1526010077152391095.26%16122115.274594021800021112031.91%9400000.4612000113
13Ryan ChesleySeattle Metropolitans (NYI)D6681018-15540855454174214.81%7197114.7112393400001010%000000.3700000022
14Owen McLaughlinSeattle Metropolitans (NYI)C809817-131603111585267110.59%886610.83011228000001048.24%102000000.3900000021
15Alexander PerevalovSeattle Metropolitans (NYI)LW809716-1060194910045719.00%86958.70000000001234037.84%3700000.4600000012
16Chase YoderSeattle Metropolitans (NYI)C805914-60014648023426.25%86458.0700000000002050.30%66000000.4300000100
17Michael KarowSeattle Metropolitans (NYI)D78211133180232118112311.11%384786.14112123000051010%000000.5400000110
18Nick CaponeSeattle Metropolitans (NYI)RW805813-535579328218556.10%67569.46000170000800041.03%11700000.3400001000
19Nolan CollinsSeattle Metropolitans (NYI)D59099-19500101263117150%6591015.430113280001119000%000000.2000000000
20Michael FisherSeattle Metropolitans (NYI)D7324641951716126616.67%285317.2800001000039010%000000.2300001010
21Chad YetmanSeattle Metropolitans (NYI)RW4000-120120140%0246.0400001000000020.00%50000000000000
Statistiques d’équipe totales ou en moyenne1556224398622-1126042014151534244072816939.18%7552362215.18671191865902379000231907331848.36%696400110.53726103233638
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
1Henrik TikkanenSeattle Metropolitans (NYI)58222470.9083.0130876215516810200.722185426420
2Pheonix CopleySeattle Metropolitans (NYI)38151020.9262.46175842729680110.87582654622
Statistiques d’équipe totales ou en moyenne96373490.9142.81484610422726490312680801042


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Aidan ThompsonSeattle Metropolitans (NYI)C/LW232002-02-18USAYes180 Lbs5 ft11NoNoProspectNoNo32025-07-04FalseFalsePro & Farm600,000$60,000$2,981$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Aleksanteri KaskimakiSeattle Metropolitans (NYI)C212004-02-06FINYes192 Lbs6 ft0NoNoProspectNoNo32025-07-04FalseFalsePro & Farm700,000$70,000$3,478$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Alexander PerevalovSeattle Metropolitans (NYI)LW212004-04-16RUSYes194 Lbs6 ft0NoNoProspectNoNo32025-07-04FalseFalsePro & Farm700,000$70,000$3,478$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Anton JohanssonSeattle Metropolitans (NYI)D212004-06-10SWEYes165 Lbs6 ft0NoNoProspectNoNo32025-07-04FalseFalsePro & Farm600,000$60,000$2,981$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Ayrton MartinoSeattle Metropolitans (NYI)LW222002-09-28CANYes160 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$75,000$3,727$No750,000$--------750,000$--------No--------
Chad YetmanSeattle Metropolitans (NYI)RW252000-02-18CANYes179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm400,000$40,000$1,988$No---------------------------
Chase YoderSeattle Metropolitans (NYI)C232002-05-28USAYes176 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm400,000$40,000$1,988$No---------------------------
Danila YurovSeattle Metropolitans (NYI)C/RW212003-12-22RUSYes171 Lbs6 ft1NoNoProspectNoNo32025-07-04FalseFalsePro & Farm900,000$90,000$4,472$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Dillon HeatheringtonSeattle Metropolitans (NYI)D301995-05-09CANNo215 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm660,000$66,000$3,280$No---------------------------Lien
Domenick FensoreSeattle Metropolitans (NYI)D232001-09-07USANo151 Lbs5 ft7NoNoN/ANoNo1FalseFalsePro & Farm715,000$71,500$3,553$No---------------------------Lien
Henrik TikkanenSeattle Metropolitans (NYI)G242000-09-28FINYes201 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm300,000$30,000$1,491$No---------------------------
Kyle MastersSeattle Metropolitans (NYI)D222003-04-09CANYes177 Lbs6 ft0NoNoTrade2025-08-19NoNo2FalseFalsePro & Farm500,000$50,000$2,484$No500,000$--------500,000$--------No--------
Michael FisherSeattle Metropolitans (NYI)D212004-05-02USAYes213 Lbs6 ft3NoNoProspectNoNo32025-07-04FalseFalsePro & Farm700,000$70,000$3,478$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Michael KarowSeattle Metropolitans (NYI)D261998-12-18USAYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm605,000$60,500$3,006$No---------------------------
Nick CaponeSeattle Metropolitans (NYI)RW232001-12-17USAYes216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm450,000$45,000$2,236$No---------------------------
Nolan CollinsSeattle Metropolitans (NYI)D212004-04-28CANYes215 Lbs6 ft4NoNoProspectNoNo32025-07-04FalseFalsePro & Farm400,000$40,000$1,988$No400,000$400,000$-------400,000$400,000$-------NoNo-------
Oskar PetterssonSeattle Metropolitans (NYI)C/RW212004-02-04SWEYes209 Lbs6 ft2NoNoProspectNoNo32025-07-04FalseFalsePro & Farm700,000$70,000$3,478$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Owen McLaughlinSeattle Metropolitans (NYI)C222003-03-25USAYes160 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm300,000$30,000$1,491$No300,000$--------300,000$--------No--------
Pheonix CopleySeattle Metropolitans (NYI)G331992-01-18USANo200 Lbs6 ft4NoNoFree AgentNoNo12025-09-15FalseFalsePro & Farm900,000$90,000$4,472$No---------------------------Lien
Ryan ChesleySeattle Metropolitans (NYI)D212004-02-27USAYes195 Lbs6 ft1NoNoProspectNoNo32025-07-04FalseFalsePro & Farm900,000$90,000$4,472$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Ryder RolstonSeattle Metropolitans (NYI)C/RW232001-10-31USAYes190 Lbs6 ft2NoNoTrade2025-02-02NoNo1FalseFalsePro & Farm500,000$50,000$2,484$No---------------------------
Sandis VilmanisSeattle Metropolitans (NYI)LW212004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo32025-07-04FalseFalsePro & Farm500,000$50,000$2,484$No500,000$500,000$-------500,000$500,000$-------NoNo-------
William StromgrenSeattle Metropolitans (NYI)LW222003-06-07SWEYes175 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm800,000$80,000$3,975$No800,000$--------800,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.04188 Lbs6 ft12.04607,826$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William StromgrenAidan ThompsonDanila Yurov36122
2Ayrton MartinoAleksanteri KaskimakiOskar Pettersson32122
3Sandis VilmanisOwen McLaughlinRyder Rolston22122
4Alexander PerevalovChase YoderNick Capone10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreAnton Johansson36122
2Dillon HeatheringtonKyle Masters32122
3Michael KarowNolan Collins22122
4Domenick FensoreAnton Johansson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1William StromgrenOskar PetterssonDanila Yurov60122
2Sandis VilmanisAleksanteri KaskimakiRyder Rolston40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreAnton Johansson60122
2Dillon HeatheringtonKyle Masters40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Oskar PetterssonWilliam Stromgren60122
2Aleksanteri KaskimakiSandis Vilmanis40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreAnton Johansson60122
2Dillon HeatheringtonNolan Collins40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Oskar Pettersson60122Domenick FensoreAnton Johansson60122
2William Stromgren40122Dillon HeatheringtonKyle Masters40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar PetterssonWilliam Stromgren60122
2Aleksanteri KaskimakiSandis Vilmanis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Domenick FensoreAnton Johansson60122
2Dillon HeatheringtonKyle Masters40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William StromgrenOskar PetterssonDanila YurovDomenick FensoreAnton Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
William StromgrenOskar PetterssonDanila YurovDomenick FensoreAnton Johansson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Owen McLaughlin, Aidan Thompson, Nick CaponeOwen McLaughlin, Aidan ThompsonNick Capone
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Michael Karow, Nolan Collins, Dillon HeatheringtonKyle MastersNolan Collins, Dillon Heatherington
Tirs de pénalité
Oskar Pettersson, William Stromgren, Aleksanteri Kaskimaki, Sandis Vilmanis, Danila Yurov
Gardien
#1 : Henrik Tikkanen, #2 : Pheonix Copley


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
1Calgary Wranglers210001006601000010034-11100000032130.750612180071737611618068247775967231432100.00%7357.14%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
2Cleveland Barons31200000121111010000034-12110000097220.3331222340071737611818068247775912048205210440.00%9366.67%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
3Coachella Valley Firebirds21100000761110000004221010000034-120.500713200071737611508068247775956252028500.00%10280.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
4Courtenay Crusaders4210000111101211000005412100000166050.6251120310071737611142806824777598120246520210.00%11190.91%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
5Dallas Flaming Dragons21001000752100010003211100000043141.0007132000717376114080682477759792818482150.00%8187.50%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
6Eagle Mountain Orioles1000010034-11000010034-10000000000010.50036900717376112780682477759511814153133.33%7357.14%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
7False Creek Flaming Poo30300000514-91010000016-52020000048-400.0005914007173761188806824777591413022517114.29%9455.56%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
8Grand Rapids Griffins3020100058-32010100046-21010000012-120.3335813007173761174806824777591133428428112.50%13376.92%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
9Halifax Explosion320001008711000010023-12200000064250.83381220007173761181806824777591012034527228.57%17194.12%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
10Hartford Wolf Pack513000101013-33020001049-52110000064240.4001016260171737611155806824777591796046881000.00%220100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
11Hershey Bears31100100972211000005231000010045-130.500917260171737611838068247775987262459900.00%100100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
12Honolulu Honey Hams201010006601010000023-11000100043120.5006915007173761161806824777596522163111327.27%7185.71%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
13Iowa Wild211000006601010000024-21100000042220.500691500717376116680682477759651816357114.29%7185.71%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
14Las Vegas High Rollers2020000026-41010000023-11010000003-300.0002460071737611488068247775944232425120.00%10100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
15Laval Rockets2010010036-31010000013-21000010023-110.25036900717376114880682477759741810276116.67%5180.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
16Longueuil Unicorns2010000135-21010000001-11000000134-110.250358007173761166806824777597321830600.00%40100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
17Macon Whoopee22000000826110000006151100000021141.000814220071737611988068247775947912469222.22%6183.33%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
18Maine Mariners321000001313021100000910-11100000043140.66713233600717376111138068247775910524275916743.75%11463.64%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
19Milwaukee Admirals20101000660100010004311010000023-120.500611170071737611638068247775955108349222.22%30100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
20Minnesota North Stars2020000039-61010000026-41010000013-200.0003690071737611458068247775997222234400.00%11372.73%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
21Montreal Maroons22000000734110000005231100000021141.00071320007173761170806824777595512213512325.00%8275.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
22Notre Dame Fighting Irish21000100954110000006151000010034-130.750912210071737611648068247775949984112325.00%40100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
23Pittsburgh Hornets31100001981211000007521000000123-130.500918270071737611116806824777598121215418422.22%6183.33%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
24Providence Bruins2010001045-1100000103211010000013-220.50046100071737611528068247775968261033300.00%4175.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
25Richmond Fender Benders4310000011101110000004223210000078-160.75011193001717376111238068247775914137307818633.33%15286.67%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
26Rockford IceHogs31200000611-51100000031220200000310-720.33361218107173761192806824777599433245413430.77%11281.82%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
27Savannah Ghost Pirates2020000057-21010000012-11010000045-100.000591400717376114980682477759602014418225.00%60100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
28Tahoe Bell3210000011831010000014-322000000104640.66711172800717376118280682477759912027468225.00%11281.82%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
29Trail Smoke Eaters42100010151053200001014771010000013-260.75015254001717376111378068247775916637368123939.13%17288.24%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
30Vernon Vipers210000101055100000105411100000051441.000101828007173761173806824777594912103111327.27%50100.00%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
31Wasaga Beach Whistling Weiners3120000089-11010000034-12110000055020.3338142200717376119280682477759962928517228.57%11372.73%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
Total80293404643228231-340121803340117114340171601303111117-6830.5192283986261471737611244080682477759265075561414152886723.26%2764782.97%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
_Since Last GM Reset80293404643228231-340121803340117114340171601303111117-6830.5192283986261471737611244080682477759265075561414152886723.26%2764782.97%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
_Vs Conference4521160132213511916228100112067598231360020268608530.589135231366037173761114268068247775914143953608011673822.75%1582484.81%01376276849.71%1418296047.91%574116549.27%1814121819896121047514
_Vs Division2310900211726751237001103137-6117200101413011250.54372125197027173761171180682477759764219199410781924.36%861187.21%01376276849.71%1418296047.91%574116549.27%1814121819896121047514

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8083W122839862624402650755614141514
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8029344643228231
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4012183340117114
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4017161303111117
Derniers 10 matchs
WLOTWOTL SOWSOL
440200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2886723.26%2764782.97%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
8068247775971737611
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
1376276849.71%1418296047.91%574116549.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1814121819896121047514


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
16Hartford Wolf Pack2Seattle Metropolitans3WXXSommaire du match
330Seattle Metropolitans3Richmond Fender Benders2WSommaire du match
543Trail Smoke Eaters6Seattle Metropolitans7WXXSommaire du match
659Seattle Metropolitans3Halifax Explosion2WSommaire du match
874Trail Smoke Eaters1Seattle Metropolitans3WSommaire du match
1084Seattle Metropolitans3Hartford Wolf Pack0WSommaire du match
12104Grand Rapids Griffins2Seattle Metropolitans3WXSommaire du match
14123Seattle Metropolitans1Wasaga Beach Whistling Weiners3LSommaire du match
15136Dallas Flaming Dragons2Seattle Metropolitans3WXSommaire du match
17157Pittsburgh Hornets4Seattle Metropolitans3LSommaire du match
18164Seattle Metropolitans1Richmond Fender Benders6LSommaire du match
20184Seattle Metropolitans1Courtenay Crusaders2LXXSommaire du match
22197Courtenay Crusaders1Seattle Metropolitans3WSommaire du match
24214Seattle Metropolitans2Rockford IceHogs4LSommaire du match
27234Hartford Wolf Pack4Seattle Metropolitans1LSommaire du match
29253Seattle Metropolitans3Richmond Fender Benders0WSommaire du match
31266Seattle Metropolitans3Hartford Wolf Pack4LSommaire du match
33277Tahoe Bell4Seattle Metropolitans1LSommaire du match
35296Cleveland Barons4Seattle Metropolitans3LSommaire du match
38322Seattle Metropolitans5Courtenay Crusaders4WSommaire du match
39333Halifax Explosion3Seattle Metropolitans2LXSommaire du match
42353Seattle Metropolitans4Honolulu Honey Hams3WXSommaire du match
44366Honolulu Honey Hams3Seattle Metropolitans2LSommaire du match
45385Seattle Metropolitans2Macon Whoopee1WSommaire du match
47399Richmond Fender Benders2Seattle Metropolitans4WSommaire du match
48411Seattle Metropolitans3Halifax Explosion2WSommaire du match
50428Calgary Wranglers4Seattle Metropolitans3LXSommaire du match
52442Seattle Metropolitans3Calgary Wranglers2WSommaire du match
54461Macon Whoopee1Seattle Metropolitans6WSommaire du match
56479Providence Bruins2Seattle Metropolitans3WXXSommaire du match
58497Seattle Metropolitans2Montreal Maroons1WSommaire du match
60513Maine Mariners3Seattle Metropolitans6WSommaire du match
62529Seattle Metropolitans4Maine Mariners3WSommaire du match
64546Montreal Maroons2Seattle Metropolitans5WSommaire du match
65563Seattle Metropolitans1Minnesota North Stars3LSommaire du match
66574Seattle Metropolitans4Wasaga Beach Whistling Weiners2WSommaire du match
68589Seattle Metropolitans3Notre Dame Fighting Irish4LXSommaire du match
70602Pittsburgh Hornets1Seattle Metropolitans4WSommaire du match
72622Courtenay Crusaders3Seattle Metropolitans2LSommaire du match
74641Seattle Metropolitans1Providence Bruins3LSommaire du match
76650Maine Mariners7Seattle Metropolitans3LSommaire du match
78674Hartford Wolf Pack3Seattle Metropolitans0LSommaire du match
79681Seattle Metropolitans4Dallas Flaming Dragons3WSommaire du match
81702Seattle Metropolitans4Iowa Wild2WSommaire du match
83715Notre Dame Fighting Irish1Seattle Metropolitans6WSommaire du match
86738Trail Smoke Eaters0Seattle Metropolitans4WSommaire du match
87745Seattle Metropolitans2Laval Rockets3LXSommaire du match
89763Seattle Metropolitans3Longueuil Unicorns4LXXSommaire du match
92780Seattle Metropolitans1Grand Rapids Griffins2LSommaire du match
93793Iowa Wild4Seattle Metropolitans2LSommaire du match
95811Seattle Metropolitans0Las Vegas High Rollers3LSommaire du match
97825Vernon Vipers4Seattle Metropolitans5WXXSommaire du match
99844Grand Rapids Griffins4Seattle Metropolitans1LSommaire du match
102865Rockford IceHogs1Seattle Metropolitans3WSommaire du match
104877Seattle Metropolitans2Pittsburgh Hornets3LXXSommaire du match
106895Seattle Metropolitans2False Creek Flaming Poo5LSommaire du match
107909Longueuil Unicorns1Seattle Metropolitans0LSommaire du match
110930Milwaukee Admirals3Seattle Metropolitans4WXSommaire du match
111935Seattle Metropolitans5Vernon Vipers1WSommaire du match
113961False Creek Flaming Poo6Seattle Metropolitans1LSommaire du match
115969Seattle Metropolitans4Tahoe Bell3WSommaire du match
118990Seattle Metropolitans2Milwaukee Admirals3LSommaire du match
1201004Minnesota North Stars6Seattle Metropolitans2LSommaire du match
1211019Seattle Metropolitans3Coachella Valley Firebirds4LSommaire du match
1231037Savannah Ghost Pirates2Seattle Metropolitans1LSommaire du match
1251057Seattle Metropolitans1Rockford IceHogs6LSommaire du match
1271072Wasaga Beach Whistling Weiners4Seattle Metropolitans3LSommaire du match
1301088Seattle Metropolitans4Savannah Ghost Pirates5LSommaire du match
1311099Laval Rockets3Seattle Metropolitans1LSommaire du match
1331118Seattle Metropolitans4Cleveland Barons5LSommaire du match
1341132Coachella Valley Firebirds2Seattle Metropolitans4WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1361154Eagle Mountain Orioles4Seattle Metropolitans3LXSommaire du match
1391168Seattle Metropolitans4Hershey Bears5LXSommaire du match
1401178Seattle Metropolitans6Tahoe Bell1WSommaire du match
1431201Las Vegas High Rollers3Seattle Metropolitans2LSommaire du match
1441212Seattle Metropolitans2False Creek Flaming Poo3LSommaire du match
1471228Hershey Bears2Seattle Metropolitans1LSommaire du match
1501250Hershey Bears0Seattle Metropolitans4WSommaire du match
1521262Seattle Metropolitans1Trail Smoke Eaters3LSommaire du match
1531269Seattle Metropolitans5Cleveland Barons2WSommaire du match
1571293Dallas Flaming Dragons-Seattle Metropolitans-
1591301Seattle Metropolitans-Eagle Mountain Orioles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance78,22638,969
Assistance PCT97.78%97.42%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2930 - 97.66% 66,449$2,657,956$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,398,000$ 1,398,000$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
1,398,000$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
66,449$ 8 8,683$ 69,464$




Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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

Seattle Metropolitans 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