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Gulls
GP: 11 | W: 5 | L: 5 | OTL: 1 | P: 11
GF: 29 | GA: 34 | PP%: 16.28% | PK%: 83.67%
DG: Pierre Poulin | Morale : 70 | Moyenne d’équipe : 67
Prochains matchs #193 vs Canucks

Centre de jeu
Condors
4-7-1, 9pts
3
5 Gulls
5-5-1, 11pts
Team Stats
W1SéquenceL1
3-3-0Fiche domicile3-3-0
1-4-1Fiche domicile2-2-1
4-5-1Derniers 10 matchs5-4-1
2.67Buts par match 2.64
3.17Buts contre par match 3.09
20.83%Pourcentage en avantage numérique16.28%
84.91%Pourcentage en désavantage numérique83.67%
Gulls
5-5-1, 11pts
1
5 Barracuda
11-0-1, 23pts
Team Stats
L1SéquenceW2
3-3-0Fiche domicile5-0-1
2-2-1Fiche domicile6-0-0
5-4-1Derniers 10 matchs9-0-1
2.64Buts par match 3.17
3.09Buts contre par match 1.50
16.28%Pourcentage en avantage numérique3.85%
83.67%Pourcentage en désavantage numérique90.91%
Canucks
4-4-3, 11pts
Jour 28
Gulls
5-5-1, 11pts
Statistiques d’équipe
W1SéquenceL1
2-2-2Fiche domicile3-3-0
2-2-1Fiche visiteur2-2-1
4-3-310 derniers matchs5-4-1
2.91Buts par match 2.64
3.36Buts contre par match 2.64
16.36%Pourcentage en avantage numérique16.28%
90.00%Pourcentage en désavantage numérique83.67%
Gulls
5-5-1, 11pts
Jour 30
Eagles
3-6-3, 9pts
Statistiques d’équipe
L1SéquenceL1
3-3-0Fiche domicile2-4-0
2-2-1Fiche visiteur1-2-3
5-4-110 derniers matchs3-4-3
2.64Buts par match 2.58
3.09Buts contre par match 2.58
16.28%Pourcentage en avantage numérique6.82%
83.67%Pourcentage en désavantage numérique76.47%
Gulls
5-5-1, 11pts
Jour 33
Reign
8-2-1, 17pts
Statistiques d’équipe
L1SéquenceW1
3-3-0Fiche domicile5-1-0
2-2-1Fiche visiteur3-1-1
5-4-110 derniers matchs7-2-1
2.64Buts par match 3.55
3.09Buts contre par match 3.55
16.28%Pourcentage en avantage numérique17.07%
83.67%Pourcentage en désavantage numérique91.30%
Meneurs d'équipe
Buts
Cole Smith
5
Passes
Cole Smith
8
Points
Cole Smith
13
Plus/Moins
Gustav Olofsson
5
Victoires
Joseph Woll
5
Pourcentage d’arrêts
Joseph Woll
0.886

Statistiques d’équipe
Buts pour
29
2.64 GFG
Tirs pour
299
27.18 Avg
Pourcentage en avantage numérique
16.3%
7 GF
Début de zone offensive
40.6%
Buts contre
34
3.09 GAA
Tirs contre
299
27.18 Avg
Pourcentage en désavantage numérique
83.7%%
8 GA
Début de la zone défensive
41.4%
Informations de l'équipe

Directeur généralPierre Poulin
EntraîneurMarc Crawford
DivisionPacific
ConférenceConference Ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance1,522
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure18
Limite Contrat48 / 99
Espoirs53


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
1Tyson Jost0XX98.0060338963747288707574667567757359706902822,165,000$
2Taylor Raddysh0XX97.0060249963837590716070756474737268706902832,651,651$
3Cole Guttman0XX100.0051309968717169699268817073747463706802712,201,000$
4Matt Nieto0XX100.0022799617569857253737070608282417068N03333,200,000$
5Cole Smith0XX100.0099977066776592683066628225666663706803032,059,000$
6Morgan Barron0XX100.0074409464867489647961637962707167706802741,975,000$
7Kevin Rooney0XX99.0074489864764893638362709025666654706803311,770,000$
8Tye Kartye0XX100.0088846462767984667170726569686459706702521,702,000$
9James Hamblin0XX100.0069619169706579627664656465717154706502711,307,000$
10Dylan Hryckowian (R)0X100.005635706758687369457667676051587870650222900,000$
11Bryce Kindopp0XX100.0070649966747183596062626060727146706402711,183,000$
12Jeffrey Truchon-Viel0XX100.0080825565808482645662586057697136706402911,027,000$
13Erik Gustafsson0X100.0063359068728886713078626153817846706903412,655,000$
14Urho Vaakanainen0X100.0044199966738073723074658150737368706902741,885,000$
15Jack St. Ivany0X100.0076418064868475593068537048676951706702731,135,000$
16Gustav Olofsson0X100.0057288862785785653069616562888550706603122,651,651$
17Ty Nelson (R)0X100.0069668363737785542561566355615965706302241,251,251$
18Finn Harding (R)0X100.005837766359697458457052685262647370620213900,000$
Rayé
1Kyle MacLean0XX100.0070657467745779637466656563706650706402711,189,000$
2Ryan Tverberg0XX100.005237686961706863636764616566687370630241900,000$
3Tanner Dickinson0XX100.005830716158666565637468606758577570620241900,000$
4Brendan Gorman (R)0X100.005630736258677361456863675455587270610232895,000$
5Landon Slaggert0XX100.0068369866745352632962546925575760706002431,095,000$
6Andreas Englund0X100.007973676186777657305855624870726070650303975,000$
7Kyle Looft0X100.007778826380647056255554635071734870630283975,000$
8Daniel Laatsch0X100.005830735958667555456854715058577070610241590,000$
MOYENNE D’ÉQUIPE99.77654783647370796452676368556868607065
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
1Calvin Pickard0100.0063847380728485818473769192497078N03433,200,000$
Rayé
1Joseph Woll096.007364678174829089878183757954707902832,587,000$
2Dennis Hildeby (R)0100.006770728567878585877776646476707602532,422,000$
3Kyle Chauvette0100.00727071767371717072696756628170690251900,000$
MOYENNE D’ÉQUIPE99.0069727181728183818375767274657076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marc Crawford8090898099991CAN651500,000$


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
1Cole SmithGulls (ANA)LW/RW115813016038142751918.52%117616.00044634000000036.36%1100011.4800000102
2Kevin RooneyGulls (ANA)C/LW115813240172229102817.24%721119.181567310001350055.43%9200001.2300000120
3Taylor RaddyshGulls (ANA)C/RW114591009223342012.12%123521.3711211330002472145.65%33300000.7700000110
4Cole GuttmanGulls (ANA)C/RW11257-1004164217194.76%220718.8512311330000200066.67%1500000.6800000000
5Urho VaakanainenGulls (ANA)D11347-4002232551112.00%1127525.023031334000041000%000000.5100000011
6Morgan BarronGulls (ANA)C/LW113360003282731711.11%220318.521015330001250062.11%19000000.5900000001
7Matt NietoGulls (ANA)LW/RW1114500001819895.26%016214.77000222000000050.00%1200000.6200000000
8Gustav OlofssonGulls (ANA)D1113450036103810.00%721719.80011432000035000%000000.3700000000
9Finn HardingGulls (ANA)D11033-560731040%5777.0600000000010000%000000.7700000000
10Jack St. IvanyGulls (ANA)D11033-312035105240%1923721.55011235000037000%000000.2500000000
11Kyle MacLeanGulls (ANA)C/LW8022-3401284340%2658.2200000000080054.05%7400000.6100000000
12Ty NelsonGulls (ANA)D11112-68015320250.00%816014.620000200002100%000000.2500000100
13Erik GustafssonGulls (ANA)D3022100574010%47625.4700031300007000%000000.5200000010
14Bryce KindoppGulls (ANA)C/RW11101-3004594311.11%0837.550001000003100%600000.2400000010
15James HamblinGulls (ANA)C/LW11101-10007146137.14%111710.7200000000010048.15%2700100.1700000000
16Tyson JostGulls (ANA)C/LW3101-2007683912.50%36722.59000114000080116.67%600000.3000000000
17Andreas EnglundGulls (ANA)D801142202554330%515319.17000019000023000%000000.1300000000
18Tanner DickinsonGulls (ANA)C/LW8101-4004494811.11%1567.0300000000001066.67%300000.3600000000
19Tye KartyeGulls (ANA)C/LW11011-1100162076130%114613.31000000000150056.69%12700000.1400000000
20Kyle LooftGulls (ANA)D8000-11402184330%512215.2900000000011000%00000000000000
21Ryan TverbergGulls (ANA)C/RW8000000000000%020.310000000000000%00000000000000
22Dylan HryckowianGulls (ANA)RW11000-100056120%0393.6000001000000040.00%50000000000000
23Jeffrey Truchon-VielGulls (ANA)LW/RW11000-26011710750%111510.540000000000000%20000000000000
Statistiques d’équipe totales ou en moyenne222295382-241020238247299972059.70%86321114.47714216634500043375252.16%90300110.5100000464
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
1Joseph WollGulls (ANA)115510.8863.10659003429900000110200
Statistiques d’équipe totales ou en moyenne115510.8863.1065900342990000110200


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
Andreas EnglundGulls (ANA)D301996-01-21SWENo209 Lbs6 ft3NoNoFree Agent2024-08-02NoNo32025-09-01FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Brendan GormanGulls (ANA)C232003-02-17USAYes174 Lbs6 ft0NoNoFree AgentNoNo22026-07-04FalseFalsePro & Farm895,000$0$0$No895,000$--------895,000$--------No--------
Bryce KindoppGulls (ANA)C/RW271999-06-14CANNo197 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,183,000$0$0$No---------------------------
Calvin PickardGulls (ANA)G341992-04-15CANNo219 Lbs6 ft1YesNoFree Agent2024-08-01NoNo32026-08-26FalseFalsePro & Farm3,200,000$0$0$No3,200,000$3,200,000$-------3,200,000$3,200,000$-------YesYes-------
Cole GuttmanGulls (ANA)C/RW271999-04-06USANo183 Lbs5 ft10NoNoTrade2026-08-25NoNo1FalseFalsePro & Farm2,201,000$0$0$No---------------------------
Cole SmithGulls (ANA)LW/RW301995-10-28USANo203 Lbs6 ft3NoNoTrade2024-08-01NoNo32026-05-31FalseFalsePro & Farm2,059,000$0$0$No2,059,000$2,059,000$-------2,059,000$2,059,000$-------NoNo-------
Daniel LaatschGulls (ANA)D242002-02-13USANo183 Lbs6 ft5NoNoFree AgentNoNo12026-06-05FalseFalsePro & Farm590,000$0$0$No---------------------------
Dennis HildebyGulls (ANA)G252001-08-19SWEYes227 Lbs6 ft7NoNoN/ANoNo32026-05-31FalseFalsePro & Farm2,422,000$0$0$No2,422,000$2,422,000$-------2,422,000$2,422,000$-------NoNo-------
Dylan HryckowianGulls (ANA)RW222004-05-19CANYes170 Lbs5 ft10NoNoFree AgentNoNo22026-06-17FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Erik GustafssonGulls (ANA)D341992-03-14SWENo188 Lbs6 ft0NoNoTrade2026-08-31NoNo12024-11-27FalseFalsePro & Farm2,655,000$0$0$No---------------------------
Finn HardingGulls (ANA)D212005-03-02CANYes192 Lbs6 ft2NoNoFree AgentNoNo32026-06-05FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Gustav OlofssonGulls (ANA)D311994-12-01SWENo215 Lbs6 ft3NoNoFree AgentNoNo22025-09-01FalseFalsePro & Farm2,651,651$0$0$No2,651,651$--------2,651,651$--------No--------
Jack St. IvanyGulls (ANA)D271999-07-22USANo206 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm1,135,000$0$0$No1,135,000$1,135,000$-------1,135,000$1,135,000$-------NoNo-------
James HamblinGulls (ANA)C/LW271999-04-27CANNo179 Lbs5 ft9NoNoTrade2024-08-01NoNo1FalseFalsePro & Farm1,307,000$0$0$No---------------------------
Jeffrey Truchon-VielGulls (ANA)LW/RW291997-01-28CANNo209 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,027,000$0$0$No---------------------------
Joseph WollGulls (ANA)G281998-07-12USANo212 Lbs6 ft4NoNoTrade2026-08-25NoNo32026-05-31FalseFalsePro & Farm2,587,000$0$0$No2,587,000$2,587,000$-------2,587,000$2,587,000$-------NoNo-------
Kevin RooneyGulls (ANA)C/LW331993-05-21USANo206 Lbs6 ft2NoNoTrade2026-08-31NoNo12025-05-25FalseFalsePro & Farm1,770,000$0$0$No---------------------------
Kyle ChauvetteGulls (ANA)G252001-10-05USANo190 Lbs6 ft1NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm900,000$0$0$No---------------------------
Kyle LooftGulls (ANA)D281998-06-27USANo216 Lbs6 ft4NoNoFree AgentNoNo32025-09-01FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Kyle MacLeanGulls (ANA)C/LW271999-04-29USANo193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,189,000$0$0$No---------------------------
Landon SlaggertGulls (ANA)C/LW242002-06-25USANo193 Lbs6 ft0NoNoFree AgentNoNo32026-05-31FalseFalsePro & Farm1,095,000$0$0$No1,095,000$1,095,000$-------1,095,000$1,095,000$-------NoNo-------
Matt NietoGulls (ANA)LW/RW331992-11-05USANo209 Lbs6 ft0YesNoFree AgentNoNo32026-08-22FalseFalsePro & Farm3,200,000$0$0$No3,200,000$3,200,000$-------3,200,000$3,200,000$-------YesYes-------
Morgan BarronGulls (ANA)C/LW271998-12-02CANNo229 Lbs6 ft4NoNoFree AgentNoNo42026-06-24FalseFalsePro & Farm1,975,000$0$0$No1,975,000$1,975,000$1,975,000$------1,975,000$1,975,000$1,975,000$------NoNoNo------
Ryan TverbergGulls (ANA)C/RW242002-01-30CANNo187 Lbs5 ft11NoNoFree AgentNoNo12026-06-05FalseFalsePro & Farm900,000$0$0$No---------------------------
Tanner DickinsonGulls (ANA)C/LW242002-03-05USANo176 Lbs6 ft0NoNoFree AgentNoNo12026-06-05FalseFalsePro & Farm900,000$0$0$No---------------------------
Taylor RaddyshGulls (ANA)C/RW281998-02-18CANNo235 Lbs6 ft3NoNoFree AgentNoNo32025-09-01FalseFalsePro & Farm2,651,651$0$0$No2,651,651$2,651,651$-------2,651,651$2,651,651$-------NoNo-------
Ty NelsonGulls (ANA)D222004-03-30CANYes200 Lbs5 ft10NoNoFree AgentNoNo42025-09-01FalseFalsePro & Farm1,251,251$0$0$No1,251,251$1,251,251$1,251,251$------1,251,251$1,251,251$1,251,251$------NoNoNo------
Tye KartyeGulls (ANA)C/LW252001-04-30CANNo206 Lbs6 ft1NoNoTrade2026-08-30NoNo22025-05-25FalseFalsePro & Farm1,702,000$0$0$No1,702,000$--------1,702,000$--------No--------
Tyson JostGulls (ANA)C/LW281998-03-14CANNo201 Lbs5 ft11NoNoTrade2026-08-25NoNo22025-05-25FalseFalsePro & Farm2,165,000$0$0$No2,165,000$--------2,165,000$--------No--------
Urho VaakanainenGulls (ANA)D271999-01-01FINNo195 Lbs6 ft1NoNoFree Agent2024-08-01NoNo42026-06-24FalseFalsePro & Farm1,885,000$0$0$No1,885,000$1,885,000$1,885,000$------1,885,000$1,885,000$1,885,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3027.13200 Lbs6 ft12.201,641,552$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostTaylor RaddyshCole Guttman40122
2Morgan BarronKevin RooneyCole Smith30122
3Matt NietoTye KartyeDylan Hryckowian20122
4Jeffrey Truchon-VielJames HamblinBryce Kindopp10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenErik Gustafsson40122
2Jack St. IvanyGustav Olofsson30122
3Ty NelsonFinn Harding20122
4Urho VaakanainenErik Gustafsson10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyson JostTaylor RaddyshCole Guttman60122
2Morgan BarronKevin RooneyCole Smith40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenErik Gustafsson60122
2Jack St. IvanyGustav Olofsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshTyson Jost60122
2Kevin RooneyMorgan Barron40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenErik Gustafsson60122
2Jack St. IvanyGustav Olofsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Raddysh60122Urho VaakanainenErik Gustafsson60122
2Tyson Jost40122Jack St. IvanyGustav Olofsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor RaddyshTyson Jost60122
2Kevin RooneyMorgan Barron40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Urho VaakanainenErik Gustafsson60122
2Jack St. IvanyGustav Olofsson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostTaylor RaddyshCole GuttmanUrho VaakanainenErik Gustafsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyson JostTaylor RaddyshCole GuttmanUrho VaakanainenErik Gustafsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Matt Nieto, Tye Kartye, James HamblinMatt Nieto, Tye KartyeJames Hamblin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Nelson, Finn Harding, Jack St. IvanyTy NelsonFinn Harding, Jack St. Ivany
Tirs de pénalité
Taylor Raddysh, Tyson Jost, Kevin Rooney, Morgan Barron, Cole Guttman
Gardien
#1 : , #2 : Calvin Pickard


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
TotalDomicile Visiteur
# 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 RI
1Barracuda2020000028-61010000013-21010000015-400.00024600109913610483110269201244500.00%6183.33%019836554.25%19237351.47%8116250.00%2491652688514369
2Canucks10001000211000000000001000100021121.00023500109912210483110225614133133.33%70100.00%019836554.25%19237351.47%8116250.00%2491652688514369
3Condors22000000743110000005321100000021141.00071421001099172104831102461020369111.11%9277.78%019836554.25%19237351.47%8116250.00%2491652688514369
4Eagles11000000752110000007520000000000021.0007121900109914410483110226128302150.00%3166.67%019836554.25%19237351.47%8116250.00%2491652688514369
5Reign1010000034-11010000034-10000000000000.0003470010991301048311022781023400.00%50100.00%019836554.25%19237351.47%8116250.00%2491652688514369
6Silver Knight2110000045-1110000003211010000013-220.5004812001099141104831102451722479111.11%11190.91%019836554.25%19237351.47%8116250.00%2491652688514369
7Wranglers2010010047-31010000013-21000010034-110.25048120010991541048311026113164511327.27%8362.50%019836554.25%19237351.47%8116250.00%2491652688514369
Total1145011002934-5633000002020051201100914-5110.50029538200109912991048311022998610223843716.28%49883.67%019836554.25%19237351.47%8116250.00%2491652688514369
_Since Last GM Reset1145011002934-5633000002020051201100914-5110.50029538200109912991048311022998610223843716.28%49883.67%019836554.25%19237351.47%8116250.00%2491652688514369
_Vs Conference1145011002934-5633000002020051201100914-5110.50029538200109912991048311022998610223843716.28%49883.67%019836554.25%19237351.47%8116250.00%2491652688514369

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1111L12953822992998610223800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
114511002934
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002020
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
5121100914
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
43716.28%49883.67%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
10483110210991
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
19836554.25%19237351.47%8116250.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2491652688514369


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
19Gulls1Silver Knight3LSommaire du match
320Eagles5Gulls7WSommaire du match
539Gulls2Canucks1WXSommaire du match
750Barracuda3Gulls1LSommaire du match
1074Gulls2Condors1WSommaire du match
1288Reign4Gulls3LSommaire du match
15102Silver Knight2Gulls3WSommaire du match
20130Wranglers3Gulls1LSommaire du match
22149Gulls3Wranglers4LXSommaire du match
24161Condors3Gulls5WSommaire du match
25175Gulls1Barracuda5LSommaire du match
28193Canucks-Gulls-
30209Gulls-Eagles-
33225Gulls-Reign-
34238IceHogs-Gulls-
39261Comets-Gulls-
41277Gulls-Roadrunners-
43293Checkers-Gulls-
45306Gulls-Comets-
47324Silver Knight-Gulls-
49337Gulls-Crunch-
51350Gulls-Wolf Pack-
53363Condors-Gulls-
59394Admirals-Gulls-
61410Gulls-Stars-
62422Hammers-Gulls-
65438Gulls-Rockets-
67455Monsters-Gulls-
69470Gulls-Barracuda-
71485Eagles-Gulls-
74501Gulls-IceHogs-
77516Rockets-Gulls-
79533Gulls-Hammers-
81548Reign-Gulls-
83568Gulls-Bears-
85581Bears-Gulls-
88602Gulls-Moose-
89615Americans-Gulls-
92636Gulls-Wild-
94647Penguins-Gulls-
97666Gulls-Phantoms-
99678Wild-Gulls-
102705Gulls-Admirals-
103712Moose-Gulls-
106731Gulls-Monsters-
108745Phantoms-Gulls-
112773Firebird-Gulls-
117800Gulls-Wranglers-
118806Wolf Pack-Gulls-
121829Gulls-Penguins-
122837Griffins-Gulls-
124856Gulls-Thunderbirds-
126870Bruins-Gulls-
128886Gulls-Eagles-
130902Marlies-Gulls-
134924Gulls-Marlies-
135931Barracuda-Gulls-
139952Gulls-Americans-
141964Roadrunners-Gulls-
142978Gulls-Firebird-
145996Gulls-Silver Knight-
1461003Wranglers-Gulls-
1491026Gulls-Senators-
1501034Thunderbirds-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1551059Gulls-Griffins-
1561066Stars-Gulls-
1591091Gulls-Canucks-
1601095Gulls-Wolves-
1621103Senators-Gulls-
1651125Gulls-Bruins-
1671133Gulls-Condors-
1681142Wolves-Gulls-
1701159Gulls-Reign-
1731172Canucks-Gulls-
1741179Gulls-Checkers-
1831207Crunch-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets10085
Assistance6,2222,910
Assistance PCT51.85%48.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
32 1522 - 50.73% 215,938$1,295,629$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,403,417$ 9,849,310$ 9,849,310$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,330,463$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,910,021$ 158 55,942$ 8,838,836$




Gulls 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

Gulls 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

Gulls 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

Gulls 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

Gulls 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