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Gulls

GP: 48 | W: 30 | L: 15 | OTL: 3 | P: 63
GF: 226 | GA: 146 | PP%: 24.49% | PK%: 81.44%
DG: Olivier | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #755 vs Barracuda
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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
1Ryan DonatoXX100.006339877273827869636770587267650456602321,900,000$
2Emil BemstromXX100.007139886872747566536567626861650506502031,633,333$
3Alexandre TexierXX100.00594085687683626771666659686162046640202925,000$
4Sam BennettXX100.008355676576738264716266576567640506402322,550,000$
5Sonny MilanoXX100.00563985677375716653686261696766050640231874,125$
6Egor Korshkov (R)X100.00674689648973756254586361596764050630232925,000$
7Aleksi SaarelaXX100.00594190637084796256606159626563050620221902,500$
8Joshua Ho-SangX100.00573989666978756459625861666764050620231874,125$
9Valentin ZykovXX100.00644582637880756253586159646965050620241675,000$
10Givani SmithXX100.00645381618274735952575860596362050610212913,333$
11Joseph BlandisiXX100.00584979617077795870615960587167050610251700,000$
12Trent FredericX100.006356796081757458715959616063650506102121,137,500$
13Brandon HagelX100.00564388566778735451576057546362050590212925,000$
14Brent Gates (R)X100.00654289578072715452515658546563050590221650,000$
15Brendan GuhleX100.00644588638085776130605862536566048620221888,333$
16Olli JuoleviX100.006338896577807663306453624563620616202121,913,333$
17Ian McCoshenX100.00664984598578725830575661486965050610241700,000$
Rayé
MOYENNE D'ÉQUIPE100.0063458563767875625461616060656405062
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 SP
1Martin Jones100.0091959384908991908991907884050750
2Kaapo Kahkonen100.0079706883787779787779786771050670
Rayé
1Felix Sandstrom100.0075525079747375747375746569050640
2Vitek Vanecek100.0073848274727173727173726771050640
MOYENNE D'ÉQUIPE100.008075738079788079788079697405068
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Sonny MilanoGulls (ANA)LW/RW4827396643407962265814811.95%1085817.8935825730001184043.75%6400011.5403000313
2Emil BemstromGulls (ANA)LW/RW4837256215140871083198222911.60%3388918.53681450850000184243.75%8000031.3904000334
3Sam BennettGulls (ANA)C/LW48193655435151841271824813210.44%883517.412571873000002156.13%130400011.3223001333
4Egor KorshkovGulls (ANA)RW48243054436025631994712612.06%2583417.392572373000002363.16%5700001.2900000343
5Luke GlendeningDucksC/RW332420441114094153246651669.76%3169220.97731031650007702065.57%100200011.2704000722
6Ian McCoshenGulls (ANA)D4883240233001113365133812.31%5588618.48101945000142010.00%000000.9000000102
7Valentin ZykovGulls (ANA)LW/RW48182240124080571555713611.61%2671514.9100013000001157.63%5900011.1200000322
8Aleksi SaarelaGulls (ANA)C/LW481226382532012373118399210.17%6885617.8500000000000050.00%26400000.8900000114
9Alexandre TexierGulls (ANA)C/LW3816213751604198171411379.36%1065617.27000140000110255.15%89400011.1311000012
10Joshua Ho-SangGulls (ANA)RW481123347203081163581126.75%2566913.94000000000312050.00%8800011.0200000011
11Olli JuoleviGulls (ANA)D257212814120542645251815.56%4061424.590331045000047300.00%000100.9100000221
12Givani SmithGulls (ANA)LW/RW481115269100463511532839.57%163697.7000000000005050.00%2600001.4100000111
13Brendan GuhleGulls (ANA)D3421517138048384417314.55%4066219.49202945000243110.00%000000.5100000111
14Joseph BlandisiGulls (ANA)C/LW19112132020517286183.57%1732717.2300000000001050.00%400000.7900000020
15Ryan DonatoGulls (ANA)C/LW30000000410380.00%16220.7600003000180028.57%700000.0001000000
Stats d'équipe Total ou en Moyenne58421733755428320559819992086591147410.40%405993217.0123295217751800012294271157.37%384900191.12316001282429
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
1Martin JonesGulls (ANA)48301530.9213.0328522214418220300.94719480361
2Kaapo KahkonenGulls (ANA)10000.9701.2847001330000.0000048000
Stats d'équipe Total ou en Moyenne49301530.9223.0028992214518550300.947194848361


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aleksi SaarelaGulls (ANA)C/LW221997-01-07No200 Lbs5 ft10NoNoNo1Pro & Farm902,500$0$0$NoLien / Lien NHL
Alexandre TexierGulls (ANA)C/LW201999-09-13No192 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brandon HagelGulls (ANA)LW211998-08-27No174 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Brendan GuhleGulls (ANA)D221997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm888,333$0$0$NoLien / Lien NHL
Brent GatesGulls (ANA)LW221997-08-12Yes198 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$No
Egor KorshkovGulls (ANA)RW231996-07-10Yes214 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
Emil BemstromGulls (ANA)LW/RW201999-06-01No190 Lbs6 ft0NoNoNo3Pro & Farm1,633,333$0$0$No1,633,333$1,633,333$Lien
Felix SandstromGulls (ANA)G221997-01-12No191 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Givani SmithGulls (ANA)LW/RW211998-02-27No210 Lbs6 ft2NoNoNo2Pro & Farm913,333$0$0$No913,333$Lien / Lien NHL
Ian McCoshenGulls (ANA)D241995-08-05No210 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joseph BlandisiGulls (ANA)C/LW251994-07-18No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joshua Ho-SangGulls (ANA)RW231996-01-22No173 Lbs6 ft0NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Kaapo KahkonenGulls (ANA)G231996-08-16No215 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Martin JonesGulls (ANA)G291990-01-10No190 Lbs6 ft4NoNoNo5Pro & Farm5,750,000$0$0$No5,750,000$5,750,000$5,750,000$5,750,000$Lien / Lien NHL
Olli JuoleviGulls (ANA)D211998-05-05No182 Lbs6 ft2NoNoNo2Pro & Farm1,913,333$0$0$No1,913,333$Lien / Lien NHL
Ryan DonatoGulls (ANA)C/LW231996-04-09No192 Lbs6 ft0NoNoNo2Pro & Farm1,900,000$0$0$No1,900,000$Lien / Lien NHL
Sam BennettGulls (ANA)C/LW231996-06-20No195 Lbs6 ft1NoNoNo2Pro & Farm2,550,000$0$0$No2,550,000$Lien / Lien NHL
Sonny MilanoGulls (ANA)LW/RW231996-05-12No194 Lbs6 ft0NoNoNo1Pro & Farm874,125$0$0$NoLien / Lien NHL
Trent FredericGulls (ANA)C211998-02-11No203 Lbs6 ft2NoNoNo2Pro & Farm1,137,500$0$0$No1,137,500$Lien / Lien NHL
Valentin ZykovGulls (ANA)LW/RW241995-05-15No220 Lbs6 ft0NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Vitek VanecekGulls (ANA)G231996-01-09No181 Lbs6 ft1NoNoNo3Pro & Farm716,667$0$0$No716,667$716,667$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2122.62196 Lbs6 ft11.811,304,917$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emil Bemstrom30122
2Sonny MilanoSam BennettEgor Korshkov30122
3Valentin ZykovJoshua Ho-Sang25122
4Aleksi SaarelaGivani Smith15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
130122
2Ian McCoshen30122
3Aleksi Saarela25122
415122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Emil Bemstrom60113
2Sonny MilanoSam BennettEgor Korshkov40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160113
2Ian McCoshen40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160131
2Emil BemstromSonny Milano40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160131
2Ian McCoshen40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16013160131
240131Ian McCoshen40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Emil BemstromSonny Milano40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Ian McCoshen40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emil Bemstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Emil Bemstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Valentin Zykov, Joshua Ho-Sang, Valentin ZykovJoshua Ho-Sang
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Ian McCoshen, Ian McCoshen,
Tirs de Pénalité
, , Emil Bemstrom, Sonny Milano, Sam Bennett
Gardien
#1 : Martin Jones, #2 : Kaapo Kahkonen


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
LigueDomicileVisiteur
# 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
1Admirals10000010651000000000001000001065121.0006814009472564687017527473037100246233.33%000.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
2Americans1010000023-11010000023-10000000000000.00022400947256439701752747304218615200.00%3166.67%01031193553.28%932191448.69%42682251.82%12038771124316576291
3Barracuda2200000012480000000000022000000124841.0001223350094725649170175274730732014584250.00%6350.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
4Bears11000000844000000000001100000084421.0008132100947256454701752747306114434100.00%2150.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
5Bruins1010000013-21010000013-20000000000000.0001230094725644070175274730408423100.00%10100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
6Checkers21100000752110000004131010000034-120.50071219009472564907017527473078216423133.33%2150.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
7Comets220000002241822000000224180000000000041.000224163019472564176701752747305211659100.00%30100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
8Condors22000000195141100000083511000000112941.000193756009472564168701752747305710641000.00%30100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
9Crunch31200000910-11010000023-12110000077020.3339182700947256411770175274730112311964900.00%50100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
10Devils211000006601010000045-11100000021120.50061016009472564717017527473083256394125.00%2150.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
11Eagles4130000078-1211000004222020000036-320.2507132001947256416670175274730112332292600.00%11190.91%01031193553.28%932191448.69%42682251.82%12038771124316576291
12Griffins21100000871110000006331010000024-220.50081523009472564867017527473083148458337.50%4325.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
13Heat11000000734000000000001100000073421.00071320009472564567017527473055192353266.67%10100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
14IceHogs220000001349110000004311100000091841.0001320330094725648770175274730812210465240.00%5180.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
15Monsters21001000826210010008260000000000041.000812200094725646270175274730742212462150.00%60100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
16Moose2200000013671100000032111000000104641.0001322350094725641147017527473071278525120.00%40100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
17Penguins1100000011561100000011560000000000021.0001118290094725648570175274730457220000.00%10100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
18Phantoms201001001012-21000010045-11010000067-110.250101424009472564687017527473011929842100.00%4175.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
19Rampage2110000067-1000000000002110000067-120.500611170094725647270175274730942212494125.00%6183.33%01031193553.28%932191448.69%42682251.82%12038771124316576291
20Roadrunners1000010056-1000000000001000010056-110.5005101500947256433701752747303396263133.33%3166.67%01031193553.28%932191448.69%42682251.82%12038771124316576291
21Rocket20100010440100000103211010000012-120.50046100094725647470175274730711316506116.67%8187.50%01031193553.28%932191448.69%42682251.82%12038771124316576291
22Sound Tigers1000000134-1000000000001000000134-110.50035800947256435701752747303216424200.00%20100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
23Stars21000010862210000108620000000000041.00081119009472564797017527473088188395120.00%30100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
24Thunderbirds220000001358110000006421100000071641.00013223500947256487701752747306425051400.00%000.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
Total48261501231226146802414601120113664724129001111138033630.65622638861402947256422117017527473018555072151139982424.49%971881.44%01031193553.28%932191448.69%42682251.82%12038771124316576291
25Wild2110000058-3000000000002110000058-320.500591400947256481701752747309523651400.00%30100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
26Wolf Pack11000000523110000005230000000000021.000571200947256455701752747302096235360.00%30100.00%01031193553.28%932191448.69%42682251.82%12038771124316576291
27Wolves21100000880211000008800000000000020.500814220094725645770175274730833114494250.00%6266.67%01031193553.28%932191448.69%42682251.82%12038771124316576291
_Since Last GM Reset48261501231226146802414601120113664724129001111138033630.65622638861402947256422117017527473018555072151139982424.49%971881.44%01031193553.28%932191448.69%42682251.82%12038771124316576291
_Vs Conference27167011201257946128201010492920158500110765026390.7221252183430194725641220701752747301036280128653591830.51%611280.33%01031193553.28%932191448.69%42682251.82%12038771124316576291
_Vs Division15730011058441463100010191369420010039318170.5675894152019472564667701752747305781556635335720.00%32390.63%01031193553.28%932191448.69%42682251.82%12038771124316576291

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
4863W222638861422111855507215113902
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4826151231226146
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
24146112011366
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
24129011111380
Derniers 10 Matchs
WLOTWOTL SOWSOL
640000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
982424.49%971881.44%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
701752747309472564
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
1031193553.28%932191448.69%42682251.82%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12038771124316576291


Derniers Match 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
1 - 2020-10-054Eagles0Gulls3WSommaire du Match
3 - 2020-10-0717Gulls3Sound Tigers4LXXSommaire du Match
4 - 2020-10-0831Gulls5Barracuda3WSommaire du Match
7 - 2020-10-1150Eagles2Gulls1LSommaire du Match
11 - 2020-10-1572Gulls1Crunch3LSommaire du Match
13 - 2020-10-1788Crunch3Gulls2LSommaire du Match
15 - 2020-10-19103Gulls1Eagles2LSommaire du Match
16 - 2020-10-20117Monsters1Gulls6WSommaire du Match
19 - 2020-10-23136IceHogs3Gulls4WSommaire du Match
21 - 2020-10-25150Gulls5Rampage4WSommaire du Match
23 - 2020-10-27165Gulls6Crunch4WSommaire du Match
24 - 2020-10-28173Gulls10Moose4WSommaire du Match
26 - 2020-10-30184Comets4Gulls11WSommaire du Match
29 - 2020-11-02204Stars3Gulls4WSommaire du Match
31 - 2020-11-04219Gulls11Condors2WSommaire du Match
33 - 2020-11-06234Gulls5Roadrunners6LXSommaire du Match
34 - 2020-11-07246Gulls7Barracuda1WSommaire du Match
36 - 2020-11-09255Checkers1Gulls4WSommaire du Match
39 - 2020-11-12276Rocket2Gulls3WXXSommaire du Match
41 - 2020-11-14294Gulls7Thunderbirds1WSommaire du Match
43 - 2020-11-16308Wolves5Gulls3LSommaire du Match
46 - 2020-11-19332Stars3Gulls4WXXSommaire du Match
48 - 2020-11-21346Gulls2Devils1WSommaire du Match
50 - 2020-11-23360Gulls1Wild5LSommaire du Match
51 - 2020-11-24371Wolves3Gulls5WSommaire du Match
54 - 2020-11-27391Wolf Pack2Gulls5WSommaire du Match
56 - 2020-11-29407Gulls2Eagles4LSommaire du Match
58 - 2020-12-01423Gulls1Rampage3LSommaire du Match
59 - 2020-12-02431Condors3Gulls8WSommaire du Match
61 - 2020-12-04451Americans3Gulls2LSommaire du Match
65 - 2020-12-08471Gulls6Admirals5WXXSommaire du Match
67 - 2020-12-10486Monsters1Gulls2WXSommaire du Match
70 - 2020-12-13506Griffins3Gulls6WSommaire du Match
72 - 2020-12-15526Gulls1Rocket2LSommaire du Match
74 - 2020-12-17539Gulls4Wild3WSommaire du Match
75 - 2020-12-18548Phantoms5Gulls4LXSommaire du Match
78 - 2020-12-21569Comets0Gulls11WSommaire du Match
80 - 2020-12-23582Gulls2Griffins4LSommaire du Match
82 - 2020-12-25593Gulls8Bears4WSommaire du Match
83 - 2020-12-26606Devils5Gulls4LSommaire du Match
86 - 2020-12-29628Gulls7Heat3WSommaire du Match
88 - 2020-12-31637Moose2Gulls3WSommaire du Match
90 - 2021-01-02657Gulls6Phantoms7LSommaire du Match
92 - 2021-01-04669Thunderbirds4Gulls6WSommaire du Match
95 - 2021-01-07692Bruins3Gulls1LSommaire du Match
97 - 2021-01-09707Gulls3Checkers4LSommaire du Match
99 - 2021-01-11719Gulls9IceHogs1WSommaire du Match
101 - 2021-01-13733Penguins5Gulls11WSommaire du Match
104 - 2021-01-16755Barracuda-Gulls-
106 - 2021-01-18771Gulls-Penguins-
108 - 2021-01-20785Gulls-Stars-
110 - 2021-01-22791Sound Tigers-Gulls-
113 - 2021-01-25818Heat-Gulls-
115 - 2021-01-27832Gulls-Wolf Pack-
117 - 2021-01-29843Gulls-Roadrunners-
119 - 2021-01-31857Senators-Gulls-
121 - 2021-02-02874Gulls-Sound Tigers-
122 - 2021-02-03882Reign-Gulls-
125 - 2021-02-06893Gulls-Bruins-
128 - 2021-02-09915Roadrunners-Gulls-
130 - 2021-02-11935Gulls-Reign-
132 - 2021-02-13944Gulls-Crunch-
133 - 2021-02-14954Rampage-Gulls-
136 - 2021-02-17976Gulls-Comets-
138 - 2021-02-19985Gulls-Moose-
139 - 2021-02-20994IceHogs-Gulls-
141 - 2021-02-221017Bears-Gulls-
145 - 2021-02-261040Wild-Gulls-
146 - 2021-02-271049Gulls-Senators-
149 - 2021-03-021070Eagles-Gulls-
151 - 2021-03-041084Gulls-Monsters-
153 - 2021-03-061102Gulls-Barracuda-
154 - 2021-03-071108Heat-Gulls-
156 - 2021-03-091118Gulls-Condors-
157 - 2021-03-101134Gulls-Marlies-
159 - 2021-03-121147Admirals-Gulls-
162 - 2021-03-151166Gulls-Americans-
163 - 2021-03-161175Reign-Gulls-
168 - 2021-03-211201Crunch-Gulls-
170 - 2021-03-231214Gulls-Wolves-
174 - 2021-03-271238Admirals-Gulls-
180 - 2021-04-021267Marlies-Gulls-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
17 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,531,939$ 2,740,324$ 1,402,999$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,531,939$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 80 15,057$ 1,204,560$




LigueDomicileVisiteur
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
Saison Régulière
282244207333216293-7741161802131112140-284182405202104153-49482163675832178785012223275574470351312891481215033295917.93%2965880.41%0924239438.60%1114319034.92%496132437.46%1675111522616421035479
382195301144183316-13341122301131101153-52417300001382163-81381833114943167545772458795784868433951116564215253315416.31%2505179.60%2793241732.81%1135367830.86%423123234.33%14859882502633976429
482363102256212194184123110112312192294113200113391102-1172212370582346965711323837447848277126047991394200254510118.53%6008685.67%51341286246.86%1441326944.08%517118943.48%1977131819756481035516
582125901226181329-148415300020490164-74417290102291165-74241813034843179504982393760779824644181121728318301813217.68%1263373.81%0734222233.03%1005354828.33%387127730.31%147810432574569915391
682442603144334234100412113020321791225741231301112155112438833459693014137999111382212561280126159270582246821312075325.60%1933780.83%32023347958.15%1499278353.86%733131755.66%2196159117505471024539
78243280133432124081412115001131611214041221301221160119418632156688711128108815379111611283132050265873650920242183917.89%2194479.91%32063337461.14%1544281754.81%765134257.00%2231163617175411015535
882511803145428198230412580311322391132412610000322051079810242877111991819012011112406213231349136757245072640819011664426.51%1803083.33%12032330961.41%1461252957.77%853141260.41%242618521586491961520
882511803145428198230412580311322391132412610000322051079810242877111991819012011112406213231349136757245072640819011664426.51%1803083.33%12032330961.41%1461252957.77%853141260.41%242618521586491961520
9482615012312261468024146011201136647241290011111380336322638861402947256422117017527473018555072151139982424.49%971881.44%01031193553.28%932191448.69%42682251.82%12038771124316576291
Total Saison Régulière70430629002216323825292148381352162132013916201323104028335214415809716181206110898623252944436972153010327666778427414881891049284482259827612513915956224145020.08%214138781.92%15129732530151.27%115922625744.15%54531132748.14%171011227417079488085034223
Séries
41257000002526-15230000011101734000001416-2102545700168101286758710915413124245315981515.31%971584.54%112140330.02%19051037.25%6816940.24%27017032610616277
6514000001324-1120200000610-431200000714-721320330052511544751421425373281351218.33%13284.62%16817040.00%9022839.47%348540.00%10770147396732
725169000008171101275000003934513940000042375328115123210292624286627727629023912270196729711318.31%951287.37%047695549.84%494106946.21%20340949.63%615420624195334168
8624000001619-3312000001011-13120000068-24162945001015023410163700239733214516743.75%16381.25%111725146.61%11323148.92%399839.80%14097144417437
Total Séries48242400000135140-52210120000066651261412000006975-648135245380115037444154050047751152181754050113241973618.27%2213285.52%3782177943.96%887203843.52%34476145.20%11347581242383639315