Connexion

Gulls
GP: 10 | W: 5 | L: 4 | OTL: 1 | P: 11
GF: 25 | GA: 28 | PP%: 19.30% | PK%: 90.20%
DG: Danny Rhéaume | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Gulls
5-4-1, 11pts
1
FINAL
3 Barracuda
3-6-1, 7pts
Team Stats
L2SéquenceL1
2-2-1Fiche domicile2-3-0
3-2-0Fiche domicile1-3-1
5-4-1Derniers 10 matchs3-6-1
2.50Buts par match 2.20
2.80Buts contre par match 3.20
19.30%Pourcentage en avantage numérique14.52%
90.20%Pourcentage en désavantage numérique80.33%
Gulls
5-4-1, 11pts
2
FINAL
4 Monarchs
7-1-2, 16pts
Team Stats
L2SéquenceW6
2-2-1Fiche domicile5-0-0
3-2-0Fiche domicile2-1-2
5-4-1Derniers 10 matchs7-1-2
2.50Buts par match 3.60
2.80Buts contre par match 2.10
19.30%Pourcentage en avantage numérique16.07%
90.20%Pourcentage en désavantage numérique82.00%
Meneurs d'équipe
Buts
Nils Aman
4
Passes
Henri Jokiharju
7
Points
Henri Jokiharju
8
Plus/Moins
Nils Aman
1
Victoires
Jonas Johansson
4
Pourcentage d’arrêts
Jonas Johansson
0.865

Statistiques d’équipe
Buts pour
25
2.50 GFG
Tirs pour
190
19.00 Avg
Pourcentage en avantage numérique
19.3%
11 GF
Début de zone offensive
42.0%
Buts contre
28
2.80 GAA
Tirs contre
172
17.20 Avg
Pourcentage en désavantage numérique
90.2%%
5 GA
Début de la zone défensive
37.5%
Informations de l'équipe

Directeur généralDanny Rhéaume
EntraîneurD.J. Smith
DivisionDivision 5
ConférenceConference 2
CapitaineBenoit-Olivier Groulx
Assistant #1Raphael Lavoie
Assistant #2Samuel Bolduc


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 60
Espoirs20


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
1Nils Aman (R)0X100.0067429164676385586764577625525265500N0231925,000$
2Yegor Chinakhov0XX100.007342898365656767347564677555556950002221,575,000$
3Benoit-Olivier Groulx (C)0XX100.00757381677374786278586164584545645000231910,833$
4Raphael Lavoie (R) (A)0XX100.00767579687572756480576765644444665000231925,000$
5Samuel Walker (R)0XX100.00726687666667686650596964664444675000241925,000$
6William Eklund (R)0XX100.006763777763666764806162615945456450002031,744,167$
7Tristen Robins (R)0X100.0071639167637781627857626259444465500N0211863,333$
8Walker Duehr (R)0X100.0085469461785681583062775725464670500N0251825,000$
9William Dufour (R)0X100.00757378657379846250596264594444655000213925,000$
10Fabian Lysell (R)0X100.006662756562676963506161605844446350002011,065,000$
11Cody Glass0XX100.00714390847268907781747166756061735000242874,125$
12Vasili Ponomaryov (R)0X100.00716585676571736480596563624444655000212830,000$
13Nikolai Knyzhov (R)0X100.00734381677369435625394982255353595000251850,000$
14Samuel Bolduc (R) (A)0X100.00804595658065826625455365254545615000221925,000$
15Henri Jokiharju0X100.007644858271837759255248812565656450002422,500,000$
16Nick Perbix (R)0X100.0076448970776761602556496825525261500N0252925,000$
17Yegor Zamula (R)0X100.00674295686762806525634769254646615000231786,667$
18Michael Anderson0X100.008645847769848460255448872562636550002411,775,000$
Rayé
1Oskar Olausson (R)0XXX100.00736885666871765450475761544444605000201894,167$
2Alex Beaucage (R)0X100.00747279677265695250495161484444575000221925,000$
3Mikhail Abramov (R)0X100.00726197636172765771535661534444615000221809,444$
4Rasmus Kupari0XXX100.007744937770569256806457692559606550002311,050,833$
5Jack Rathbone (R)0X100.006742937169646466254850682545456050002411,491,667$
6Jordan Spence0X100.00696382806377825725584160394647585000221919,167$
7Jacob Christiansen (R)0X100.00714394807267886325524765254646615000233925,000$
8Simon Edvinsson (R)0X100.007475737875656953255042614044445650002031,775,000$
9Jeremie Poirier (R)0X100.00747279677280865625524662444444585000213823,333$
10Axel Andersson (R)0X100.00736786646753554625364059384444515000231871,667$
11Matthew Kessel (R)0X100.0075767464765961522549416239444454500N0231925,000$
MOYENNE D’ÉQUIPE100.0073578670706875604656556644484862500
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
1Daniil Tarasov (R)0100.0060504983655469616560754545605000241925,000$
2Jonas Johansson0100.005943548464596165636395474760500N0283750,000$
Rayé
1Arturs Silovs (R)0100.0056435483595960636362304444585000221796,111$
MOYENNE D’ÉQUIPE100.005845528363576363646267454559500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
D.J. Smith77767280777092CAN4721,000,000$


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
1Henri JokiharjuGulls (ANA)D10178-11001019116119.09%1024824.80134545011039000%000000.6500000201
2Cody GlassGulls (ANA)C/RW10347-5404242421212.50%121721.790225432133410059.07%25900000.6413000010
3Yegor ChinakhovGulls (ANA)LW/RW10246-4801113155813.33%220220.231234440221401054.55%1100000.5923000011
4Michael AndersonGulls (ANA)D9246-22751514135915.38%1321223.582241238000029000%000000.5700001101
5Nils AmanGulls (ANA)C104151603191421028.57%214214.281122160000241057.60%12500000.7001000010
6Samuel WalkerGulls (ANA)LW/RW8235020108163512.50%014017.61224834000040066.67%600000.7100000001
7Yegor ZamulaGulls (ANA)D10145-3404881612.50%1221321.33112741011040000%000000.4700000100
8Raphael LavoieGulls (ANA)C/RW10044-175128204120%216216.20033740000030068.42%5700000.4900001010
9Samuel BolducGulls (ANA)D10044-61601367340%618518.59022631000028000%000000.4300000000
10William DufourGulls (ANA)RW10314-4135158102630.00%014114.13101118000001040.00%500000.5700100110
11Nick PerbixGulls (ANA)D10134-2609882312.50%317317.32112522000017000%000000.4600000000
12Benoit-Olivier GroulxGulls (ANA)C/LW10213-4205992622.22%012612.66000001011160150.00%800000.4700000100
13Tristen RobinsGulls (ANA)C811212050113100.00%0587.28011010000010090.00%1000000.6900000000
14Nikolai KnyzhovGulls (ANA)D10101-51209246125.00%1016216.22101110000020000%000000.1200000000
15Vasili PonomaryovGulls (ANA)C10011-520488480%011011.010112150001150064.00%10000000.1800000000
16Jack RathboneGulls (ANA)D1000-100100100%01818.900000100004000%00000000000000
17William EklundGulls (ANA)C/LW10000-5609235490%114214.23000016000010055.71%700000000000000
18Walker DuehrGulls (ANA)RW8000-5201146280%114117.680001350000200040.00%300000012000000
19Oskar OlaussonGulls (ANA)C/LW/RW2000120002000%0105.040000000000000%00000000000000
20Fabian LysellGulls (ANA)RW10000-300247220%0868.6400009000000050.00%20000000000000
21Mikhail AbramovGulls (ANA)C2000100311000%0115.97000110000000100.00%10000000000000
22Rasmus KupariGulls (ANA)C/LW/RW2000-200301000%02914.75000000000100066.67%30000000000000
Statistiques d’équipe totales ou en moyenne180234265-54131151581861905712312.11%63293716.321121326747735863583159.39%68700000.4449102654
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
1Jonas JohanssonGulls (ANA)94200.8652.4244701181330001.000282000
2Daniil TarasovGulls (ANA)41210.7693.23167009390000.714728000
Statistiques d’équipe totales ou en moyenne135410.8432.63615012717200091010000


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Alex BeaucageGulls (ANA)RW222001-07-25Yes192 Lbs6 ft2NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Arturs SilovsGulls (ANA)G222001-03-21Yes203 Lbs6 ft4NoNoNoNo1Pro & Farm796,111$796,111$796,111$796,111$0$0$NoLien
Axel AnderssonGulls (ANA)D232000-02-10Yes182 Lbs6 ft0NoNoNoNo1Pro & Farm871,667$871,667$871,667$871,667$0$0$NoLien
Benoit-Olivier GroulxGulls (ANA)C/LW232000-02-05No198 Lbs6 ft2NoNoNoNo1Pro & Farm910,833$910,833$910,833$910,833$0$0$NoLien
Cody GlassGulls (ANA)C/RW241999-04-01No192 Lbs6 ft2NoNoNoNo2Pro & Farm874,125$874,125$874,125$874,125$0$0$No874,125$Lien
Daniil TarasovGulls (ANA)G241999-03-27Yes196 Lbs6 ft3NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Fabian LysellGulls (ANA)RW202003-01-19Yes172 Lbs5 ft10NoNoNoNo1Pro & Farm1,065,000$1,065,000$1,065,000$1,065,000$0$0$No
Henri JokiharjuGulls (ANA)D241999-06-17No195 Lbs6 ft0NoNoNoNo2Pro & Farm2,500,000$2,500,000$2,500,000$2,500,000$0$0$No2,500,000$Lien
Jack RathboneGulls (ANA)D241999-05-20Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm1,491,667$1,491,667$1,491,667$1,491,667$0$0$NoLien
Jacob ChristiansenGulls (ANA)D231999-12-09Yes195 Lbs6 ft1NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Jeremie PoirierGulls (ANA)D212002-02-06Yes196 Lbs6 ft1NoNoNoNo3Pro & Farm823,333$823,333$823,333$823,333$0$0$No823,333$823,333$Lien
Jonas JohanssonGulls (ANA)G281995-09-18No205 Lbs6 ft4YesNoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Jordan SpenceGulls (ANA)D222001-02-24No175 Lbs5 ft10NoNoNoNo1Pro & Farm919,167$919,167$919,167$919,167$0$0$NoLien
Matthew KesselGulls (ANA)D232000-06-23Yes205 Lbs6 ft2YesNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Michael AndersonGulls (ANA)D241999-05-25No194 Lbs5 ft11NoNoNoNo1Pro & Farm1,775,000$1,775,000$450,000$450,000$0$0$NoLien
Mikhail AbramovGulls (ANA)C222001-03-26Yes160 Lbs6 ft0NoNoNoNo1Pro & Farm809,444$809,444$809,444$809,444$0$0$NoLien
Nick PerbixGulls (ANA)D251998-06-15Yes200 Lbs6 ft4YesNoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$Lien
Nikolai KnyzhovGulls (ANA)D251998-03-20Yes195 Lbs6 ft2NoNoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Nils AmanGulls (ANA)C232000-07-02Yes179 Lbs6 ft2YesNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Oskar OlaussonGulls (ANA)C/LW/RW202002-10-11Yes180 Lbs6 ft1NoNoNoNo1Pro & Farm894,167$894,167$894,167$894,167$0$0$No
Raphael LavoieGulls (ANA)C/RW232000-09-25Yes196 Lbs6 ft4NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Rasmus KupariGulls (ANA)C/LW/RW232000-03-15No189 Lbs6 ft2NoNoNoNo1Pro & Farm1,050,833$1,050,833$1,050,833$1,050,833$0$0$NoLien
Samuel BolducGulls (ANA)D222000-12-09Yes210 Lbs6 ft4NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Samuel WalkerGulls (ANA)LW/RW241999-07-06Yes180 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Simon EdvinssonGulls (ANA)D202003-05-02Yes198 Lbs6 ft4NoNoNoNo3Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$0$0$No1,775,000$1,775,000$
Tristen RobinsGulls (ANA)C212001-11-15Yes176 Lbs5 ft10YesNoNoNo1Pro & Farm863,333$863,333$863,333$863,333$0$0$NoLien
Vasili PonomaryovGulls (ANA)C212002-03-13Yes181 Lbs5 ft10NoNoNoNo2Pro & Farm830,000$830,000$830,000$830,000$0$0$No830,000$Lien
Walker DuehrGulls (ANA)RW251997-11-23Yes210 Lbs6 ft2YesNoNoNo1Pro & Farm825,000$825,000$825,000$825,000$0$0$NoLien
William DufourGulls (ANA)RW212002-01-28Yes195 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
William EklundGulls (ANA)C/LW202002-12-10Yes176 Lbs5 ft10NoNoNoNo3Pro & Farm1,744,167$1,744,167$1,744,167$1,744,167$0$0$No1,744,167$1,744,167$
Yegor ChinakhovGulls (ANA)LW/RW222001-02-01No178 Lbs6 ft0NoNoNoNo2Pro & Farm1,575,000$1,575,000$1,575,000$1,575,000$0$0$No1,575,000$Lien
Yegor ZamulaGulls (ANA)D232000-03-30Yes170 Lbs6 ft3NoNoNoNo1Pro & Farm786,667$786,667$786,667$786,667$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3222.72189 Lbs6 ft11.531,063,454$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yegor ChinakhovCody GlassWalker Duehr30023
2Samuel WalkerVasili PonomaryovRaphael Lavoie30023
3Benoit-Olivier GroulxWilliam EklundWilliam Dufour30023
4Tristen RobinsNils AmanFabian Lysell10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju35032
2Yegor ZamulaSamuel Bolduc35032
3Nikolai KnyzhovNick Perbix30032
4Michael AndersonHenri Jokiharju0032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Yegor ChinakhovCody GlassWalker Duehr50005
2Samuel WalkerVasili PonomaryovRaphael Lavoie50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50014
2Yegor ZamulaSamuel Bolduc50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanWilliam Dufour50041
2Benoit-Olivier GroulxWilliam Eklund50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50041
2Nikolai KnyzhovNick Perbix50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nils Aman50050Michael AndersonHenri Jokiharju50050
2Benoit-Olivier Groulx50050Nikolai KnyzhovNick Perbix50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cody GlassWalker Duehr50023
2Vasili PonomaryovYegor Chinakhov50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael AndersonHenri Jokiharju50032
2Yegor ZamulaSamuel Bolduc50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor ChinakhovCody GlassWalker DuehrMichael AndersonHenri Jokiharju
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Yegor ChinakhovNils AmanRaphael LavoieMichael AndersonHenri Jokiharju
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
William Eklund, William Dufour, Benoit-Olivier GroulxWilliam Eklund, William DufourCody Glass
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nikolai Knyzhov, Nick Perbix, Michael AndersonNick PerbixYegor Zamula, Samuel Bolduc
Tirs de pénalité
Cody Glass, Yegor Chinakhov, Walker Duehr, Samuel Walker, Raphael Lavoie
Gardien
#1 : Jonas Johansson, #2 : Daniil Tarasov, #3 : 0
Lignes d’attaque personnalisées en prolongation
Cody Glass, Yegor Chinakhov, Walker Duehr, Vasili Ponomaryov, Raphael Lavoie, Samuel Walker, Samuel Walker, William Eklund, Nils Aman, William Dufour, Benoit-Olivier Groulx
Lignes de défense personnalisées en prolongation
Michael Anderson, Henri Jokiharju, Yegor Zamula, Samuel Bolduc, Nick Perbix


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
1Barracuda2020000037-41010000024-21010000013-200.0003580010854336763561341173929900.00%15193.33%017328361.13%15525361.26%8013857.97%2581792297612765
2Condors210000015321000000123-11100000030330.75051015011085438676356132913193212433.33%60100.00%017328361.13%15525361.26%8013857.97%2581792297612765
3Heat2110000025-31010000004-41100000021120.500246001085440676356132562233900.00%10190.00%117328361.13%15525361.26%8013857.97%2581792297612765
4Monarchs2010001078-1100000105411010000024-220.50071017001085441676356133916253413323.08%10190.00%217328361.13%15525361.26%8013857.97%2581792297612765
5Moose21000010853110000004221000001043141.00081321001085438676356133811263014428.57%10280.00%017328361.13%15525361.26%8013857.97%2581792297612765
Total1034000212528-3512000111317-45220001012111110.55025426701108541906763561317263131158571119.30%51590.20%317328361.13%15525361.26%8013857.97%2581792297612765
_Since Last GM Reset1034000212528-3512000111317-45220001012111110.55025426701108541906763561317263131158571119.30%51590.20%317328361.13%15525361.26%8013857.97%2581792297612765
_Vs Conference82300021232304110001113130412000101010090.56323386101108541506763561314757109125481122.92%41490.24%217328361.13%15525361.26%8013857.97%2581792297612765
_Vs Division1023000212528-3511000111317-4512000101211190.45025426701108541906763561317263131158571119.30%51590.20%317328361.13%15525361.26%8013857.97%2581792297612765

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1011L22542671901726313115801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103400212528
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
51200111317
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52200101211
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
571119.30%51590.20%3
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
6763561310854
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
17328361.13%15525361.26%8013857.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2581792297612765


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
110Gulls2Heat1AWSommaire du match
219Heat4Gulls0BLSommaire du match
433Monarchs4Gulls5BWXXSommaire du match
545Barracuda4Gulls2BLSommaire du match
653Gulls3Condors0AWSommaire du match
869Condors3Gulls2BLXXSommaire du match
976Gulls4Moose3AWXXSommaire du match
1192Moose2Gulls4BWSommaire du match
1296Gulls1Barracuda3ALSommaire du match
13104Gulls2Monarchs4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3315
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,403,052$ 3,270,552$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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