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Gulls
GP: 82 | W: 54 | L: 26 | OTL: 2 | P: 110
GF: 387 | GA: 256 | PP%: 19.02% | PK%: 80.62%
DG: Jeff Ducksworthy | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Monsters
64-15-3, 131pts
3
FINAL
1 Gulls
54-26-2, 110pts
Team Stats
OTW1StreakW1
31-8-2Home Record28-12-1
33-7-1Away Record26-14-1
6-3-1Last 10 Games7-3-0
4.62Buts par match 4.72
2.05Buts contre par match 3.12
19.02%Pourcentage en avantage numérique19.02%
89.37%Pourcentage en désavantage numérique80.62%
Gulls
54-26-2, 110pts
7
FINAL
3 Firebirds
14-68-0, 28pts
Team Stats
W1StreakL11
28-12-1Home Record7-34-0
26-14-1Away Record7-34-0
7-3-0Last 10 Games0-10-0
4.72Buts par match 2.57
3.12Buts contre par match 6.82
19.02%Pourcentage en avantage numérique12.24%
80.62%Pourcentage en désavantage numérique74.17%
Meneurs d'équipe
Cameron HughesButs
Cameron Hughes
103
Passes
Lucas Johansen
75
Cameron HughesPoints
Cameron Hughes
140
Martin PospisilPlus/Moins
Martin Pospisil
65
Michael HutchinsonVictoires
Michael Hutchinson
50
Pourcentage d’arrêts
Mason McDonald
0.917

Statistiques d’équipe
Buts pour
387
4.72 GFG
Tirs pour
2686
32.76 Avg
Pourcentage en avantage numérique
19.0%
58 GF
Début de zone offensive
39.6%
Buts contre
256
3.12 GAA
Tirs contre
2023
24.67 Avg
Pourcentage en désavantage numérique
80.6%%
50 GA
Début de la zone défensive
35.9%
Informations de l'équipe

Directeur généralJeff Ducksworthy
EntraîneurManny Malhotra
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,919
Billets de saison0


Informations de la formation

Équipe Pro8
Équipe Mineure21
Limite contact 29 / 50
Espoirs30


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
1Cameron Hughes (R)X100.006660816560616164806360635754546350600261925,000$
2Mathias Emilio Pettersen (R)X100.007466926166595959745558635544446150580233925,000$
3Martin Pospisil (R)X100.006472446372545359745954585144445650560232810,000$
4Scott Perunovich (R)X100.0061408778626751762565476125454560506102432,175,000$
5Lucas JohansenX100.007467906967596154254746624444445650580251925,000$
Rayé
MOYENNE D’ÉQUIPE100.00686179676560576256585361464646595059
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
1Spencer Martin100.00594961736264606566653044446150600282750,000$
2Michael Hutchinson100.004844558049485054494930596049505403321,000,000$
Rayé
1Mason McDonald100.00454759834344505246473044444750510272894,167$
MOYENNE D’ÉQUIPE100.0051475879515253575454304949525055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Manny Malhotra62717367605685CAN411650,000$


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
1Cameron HughesGulls (ANH)C821033714036651520725048513435321.24%92170020.7415142977227112515415473.58%1412000131.652400216144
2Kevin StenlundDucksC/RW8268561246471151131833649921118.68%27157119.166152147191213111867072.85%126700081.583411181210
3Mathias Emilio PettersenGulls (ANH)C82831910226641020020249011532516.94%88151318.452352970101813813472.56%1290000101.350401010138
4Martin PospisilGulls (ANH)C8234548865580141972095215216.27%23148418.1057123219600031104275.11%23300021.1913000359
5Scott PerunovichGulls (ANH)D82187088225409187108306416.67%47156919.141612288218101111392140.00%500001.1200000228
6Lucas JohansenGulls (ANH)D8212758735101151746114539998.28%71149518.234192381181011112410100.00%200001.1611120038
7Trent FredericDucksC/LW/RW29252348273005261135328618.52%1555519.1633611611124683063.26%72400131.7301000354
8Rasmus SandinDucksD35819277340843057174314.04%2469019.7257123283022078010.00%100000.7800000310
Statistiques d’équipe totales ou en moyenne5563513537042824775510629711993518133317.61%3871057919.03568013639111945712331000451271.65%4934001361.33717243455551
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
1Michael HutchinsonGulls (ANH)75502020.8832.7942308519716880400.78614750410
2Mason McDonaldGulls (ANH)91200.9172.5930100131560010.7504073000
Statistiques d’équipe totales ou en moyenne84512220.8862.784531852101844041187573410


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 Salaire 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 10Link
Cameron HughesGulls (ANH)C261996-10-09Yes160 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Lucas JohansenGulls (ANH)D251997-11-16No176 Lbs6 ft2NoNoNo1Pro & Farm925,000$0$0$NoLien
Martin PospisilGulls (ANH)C231999-11-19Yes194 Lbs6 ft2NoNoNo2Pro & Farm810,000$0$0$No810,000$Lien / Lien NHL
Mason McDonaldGulls (ANH)G271996-04-23No200 Lbs6 ft4NoNoNo2Pro & Farm894,167$0$0$No894,167$Lien
Mathias Emilio PettersenGulls (ANH)C232000-04-03Yes181 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Michael HutchinsonGulls (ANH)G331990-03-01No198 Lbs6 ft3YesNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Scott PerunovichGulls (ANH)D241998-08-18Yes174 Lbs5 ft10NoNoNo3Pro & Farm2,175,000$0$0$No2,175,000$2,175,000$Lien
Spencer MartinGulls (ANH)G281995-06-08No191 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
826.13184 Lbs6 ft12.001,050,521$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin Pospisil40122
2Cameron Hughes30122
3Mathias Emilio Pettersen20122
4Martin PospisilCameron Hughes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichLucas Johansen40122
230122
320122
4Scott PerunovichLucas Johansen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin Pospisil60122
2Cameron Hughes40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichLucas Johansen60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Cameron Hughes60122
2Mathias Emilio PettersenMartin Pospisil40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichLucas Johansen60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Scott PerunovichLucas Johansen60122
2Cameron Hughes4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Cameron Hughes60122
2Mathias Emilio PettersenMartin Pospisil40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Scott PerunovichLucas Johansen60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin PospisilScott PerunovichLucas Johansen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin PospisilScott PerunovichLucas Johansen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathias Emilio Pettersen, Martin Pospisil, Mathias Emilio Pettersen, Martin Pospisil
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Scott Perunovich, Lucas Johansen, Scott PerunovichLucas Johansen,
Tirs de pénalité
, Cameron Hughes, Mathias Emilio Pettersen, Martin Pospisil,
Gardien
#1 : Michael Hutchinson, #2 :
Lignes d’attaque personnalisées en prolongation
, Cameron Hughes, Mathias Emilio Pettersen, Martin Pospisil, , , , , , ,
Lignes de défense personnalisées en prolongation
Scott Perunovich, Lucas Johansen, , ,


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
1 Americans2200000012102110000005411100000076141.00012183000164111103137187090289240591216363133.33%8362.50%01526216470.52%1298195866.29%931133769.63%223917171812491906471
2Admirals220000001147110000006151100000053241.00011182900164111103131058709028924038917457342.86%60100.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
3Barracudas550000004073322000000133103300000027423101.000406010001164111103132558709028924091323210113538.46%16287.50%01526216470.52%1298195866.29%931133769.63%223917171812491906471
4Bears2200000016214110000007161100000091841.0001623390016411110313978709028924037914504125.00%6183.33%01526216470.52%1298195866.29%931133769.63%223917171812491906471
5Bruins312000001112-11100000041320200000711-420.333111930001641111031360870902892407219244317847.06%11463.64%01526216470.52%1298195866.29%931133769.63%223917171812491906471
6Canucks2110000068-2110000005141010000017-620.5006101600164111103135387090289240461583312216.67%4175.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
7Checkers21001000752100010004311100000032141.000711180016411110313318709028924058212323400.00%9277.78%01526216470.52%1298195866.29%931133769.63%223917171812491906471
8Comets220000001055110000003211100000073441.00010172700164111103134387090289240391115329444.44%4175.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
9Condors40400000525-2020200000312-920200000213-1100.0005712001641111031360870902892401103041573100.00%20575.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
10Crunch20101000770100010005411010000023-120.5007142100164111103134887090289240551714285120.00%7271.43%01526216470.52%1298195866.29%931133769.63%223917171812491906471
11Eagles642000003712253210000016610321000002161580.667376310001164111103132518709028924012449429415426.67%20195.00%11526216470.52%1298195866.29%931133769.63%223917171812491906471
12Firebirds2200000015411110000008171100000073441.00015284300164111103131028709028924032816202150.00%4175.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
13Griffins3020001067-11010000012-12010001055020.333671300164111103134787090289240741916332114.76%80100.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
14Heat41300000920-112110000077020200000213-1120.25091625001641111031378870902892401213127461900.00%10280.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
15IceHogs21100000121021010000046-21100000084420.5001217291016411110313558709028924083151041300.00%5180.00%11526216470.52%1298195866.29%931133769.63%223917171812491906471
16Marlies22000000514110000003121100000020241.0005813011641111031327870902892406313192813215.38%60100.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
17Monsters2010100034-11010000013-21000100021120.5003470016411110313498709028924040108362114.76%4175.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
18Moose2010001034-1100000103211010000002-220.5003470016411110313328709028924052201635300.00%6183.33%01526216470.52%1298195866.29%931133769.63%223917171812491906471
19Penguins20100010101001010000045-11000001065120.50010152500164111103137387090289240506204611545.45%10460.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
20Phantoms210001001073110000007341000010034-130.750101727001641111031341870902892405820163610330.00%7185.71%11526216470.52%1298195866.29%931133769.63%223917171812491906471
21Rampage 220000001138110000008171100000032141.0001118290016411110313102870902892402761739300.00%60100.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
22Reign413000001017-720200000613-72110000044020.2501016260016411110313104870902892401203130641317.69%14471.43%01526216470.52%1298195866.29%931133769.63%223917171812491906471
23Roadrunners540010004314293300000027720210010001679101.00043741170116411110313268870902892401072416857114.29%6266.67%01526216470.52%1298195866.29%931133769.63%223917171812491906471
24Rocket2010001078-11010000035-21000001043120.50071017001641111031358870902892406220143110220.00%7185.71%01526216470.52%1298195866.29%931133769.63%223917171812491906471
25Senators2100100013103110000007521000100065141.0001322350016411110313748709028924050612229222.22%5180.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
26Sound Tigers3300000018992200000014771100000042261.000182846001641111031311787090289240541318417342.86%9455.56%01526216470.52%1298195866.29%931133769.63%223917171812491906471
27Stars2200000017314110000008171100000092741.00017274400164111103131148709028924038181842000.00%9188.89%01526216470.52%1298195866.29%931133769.63%223917171812491906471
28Thunderbirds2110000034-11010000024-21100000010120.50035801164111103132887090289240541710346116.67%5260.00%01526216470.52%1298195866.29%931133769.63%223917171812491906471
29Wild21100000990110000005411010000045-120.5009152400164111103136987090289240571724496233.33%70100.00%21526216470.52%1298195866.29%931133769.63%223917171812491906471
30Wolf Pack2010010036-31000010023-11010000013-210.25034700164111103135687090289240531222351516.67%11190.91%01526216470.52%1298195866.29%931133769.63%223917171812491906471
31Wolves3300000018992200000010551100000084461.000183048001641111031311887090289240991616516350.00%8187.50%01526216470.52%1298195866.29%931133769.63%223917171812491906471
Total82452605240387256131412512021102011237841201403130186133531100.67138762510121516411110313268687090289240202354659113563055819.02%2585080.62%51526216470.52%1298195866.29%931133769.63%223917171812491906471
_Since Last GM Reset82452605240387256131412512021102011237841201403130186133531100.67138762510121516411110313268687090289240202354659113563055819.02%2585080.62%51526216470.52%1298195866.29%931133769.63%223917171812491906471
_Vs Conference473015010102521511012416700010129735623148010001237845640.681252411663131641111031317848709028924011583183388051312116.03%1452483.45%41526216470.52%1298195866.29%931133769.63%223917171812491906471

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82110W1387625101226862023546591135615
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8245265240387256
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125122110201123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4120143130186133
Derniers 10 matchs
WLOTWOTL SOWSOL
531010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3055819.02%2585080.62%5
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
8709028924016411110313
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
1526216470.52%1298195866.29%931133769.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
223917171812491906471


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
1 - 2023-03-221Eagles2Gulls3BWSommaire du match
3 - 2023-03-2422Gulls3Bruins6ALSommaire du match
5 - 2023-03-2640Gulls1Condors11ALSommaire du match
6 - 2023-03-2754Sound Tigers6Gulls8BWSommaire du match
8 - 2023-03-2969Condors7Gulls1BLSommaire du match
10 - 2023-03-3181Gulls7Roadrunners6AWXSommaire du match
12 - 2023-04-02101Reign7Gulls2BLSommaire du match
14 - 2023-04-04116Gulls8Eagles1AWSommaire du match
16 - 2023-04-06134Eagles0Gulls10BWSommaire du match
18 - 2023-04-08150Gulls6Barracudas2AWSommaire du match
20 - 2023-04-10168Roadrunners3Gulls9BWSommaire du match
21 - 2023-04-11182Gulls9Barracudas2AWSommaire du match
23 - 2023-04-13197Barracudas1Gulls6BWSommaire du match
26 - 2023-04-16220Gulls4Reign2AWSommaire du match
27 - 2023-04-17230Gulls11Eagles1AWSommaire du match
29 - 2023-04-19243Roadrunners0Gulls8BWSommaire du match
32 - 2023-04-22261Heat4Gulls0BLSommaire du match
33 - 2023-04-23272Gulls3Rampage 2AWSommaire du match
36 - 2023-04-26296Moose2Gulls3BWXXSommaire du match
37 - 2023-04-27311Gulls2Crunch3ALSommaire du match
40 - 2023-04-30329Gulls7Comets3AWSommaire du match
42 - 2023-05-02341Thunderbirds4Gulls2BLSommaire du match
44 - 2023-05-04360Gulls4Bruins5ALSommaire du match
45 - 2023-05-05374Rampage 1Gulls8BWSommaire du match
48 - 2023-05-08394Barracudas2Gulls7BWSommaire du match
50 - 2023-05-10410Gulls0Moose2ALSommaire du match
51 - 2023-05-11421Gulls2Monsters1AWXSommaire du match
53 - 2023-05-13438Reign6Gulls4BLSommaire du match
56 - 2023-05-16457Gulls2Marlies0AWSommaire du match
57 - 2023-05-17467Wild4Gulls5BWSommaire du match
59 - 2023-05-19479Gulls3Phantoms4ALXSommaire du match
61 - 2023-05-21497Gulls0Reign2ALSommaire du match
62 - 2023-05-22508Bears1Gulls7BWSommaire du match
65 - 2023-05-25530Checkers3Gulls4BWXSommaire du match
67 - 2023-05-27548Gulls4Wild5ALSommaire du match
69 - 2023-05-29564Eagles4Gulls3BLSommaire du match
70 - 2023-05-30572Gulls1Condors2ALSommaire du match
72 - 2023-06-01588Gulls1Thunderbirds0AWSommaire du match
74 - 2023-06-03602Admirals1Gulls6BWSommaire du match
76 - 2023-06-05619Gulls8IceHogs4AWSommaire du match
77 - 2023-06-06631IceHogs6Gulls4BLSommaire du match
80 - 2023-06-09653Gulls1Canucks7ALSommaire du match
81 - 2023-06-10664Bruins1Gulls4BWSommaire du match
83 - 2023-06-12680Gulls9Roadrunners1AWSommaire du match
85 - 2023-06-14694Gulls4Sound Tigers2AWSommaire du match
86 - 2023-06-15703Comets2Gulls3BWSommaire du match
89 - 2023-06-18729Roadrunners4Gulls10BWSommaire du match
91 - 2023-06-20742Gulls0Heat8ALSommaire du match
93 - 2023-06-22758 Americans4Gulls5BWSommaire du match
95 - 2023-06-24774Gulls9Bears1AWSommaire du match
97 - 2023-06-26786Gulls12Barracudas0AWSommaire du match
99 - 2023-06-28799Phantoms3Gulls7BWSommaire du match
101 - 2023-06-30820Gulls2Eagles4ALSommaire du match
102 - 2023-07-01827Sound Tigers1Gulls6BWSommaire du match
105 - 2023-07-04846Gulls5Admirals3AWSommaire du match
106 - 2023-07-05859Condors5Gulls2BLSommaire du match
108 - 2023-07-07878Gulls4Rocket3AWXXSommaire du match
110 - 2023-07-09891Marlies1Gulls3BWSommaire du match
113 - 2023-07-12917Firebirds1Gulls8BWSommaire du match
115 - 2023-07-14932Gulls2Heat5ALSommaire du match
117 - 2023-07-16949Senators5Gulls7BWSommaire du match
118 - 2023-07-17954Gulls1Wolf Pack3ALSommaire du match
121 - 2023-07-20980Heat3Gulls7BWSommaire du match
124 - 2023-07-231001Gulls7 Americans6AWSommaire du match
126 - 2023-07-251014Penguins5Gulls4BLSommaire du match
129 - 2023-07-281041Stars1Gulls8BWSommaire du match
130 - 2023-07-291052Gulls3Checkers2AWSommaire du match
133 - 2023-08-011068Gulls6Senators5AWXSommaire du match
134 - 2023-08-021080Wolf Pack3Gulls2BLXSommaire du match
137 - 2023-08-051108Canucks1Gulls5BWSommaire du match
139 - 2023-08-071125Gulls2Griffins1AWXXSommaire du match
141 - 2023-08-091139Griffins2Gulls1BLSommaire du match
142 - 2023-08-101148Gulls9Stars2AWSommaire du match
145 - 2023-08-131168Gulls3Griffins4ALSommaire du match
146 - 2023-08-141177Crunch4Gulls5BWXSommaire du match
148 - 2023-08-161197Gulls8Wolves4AWSommaire du match
149 - 2023-08-171209Wolves3Gulls6BWSommaire du match
153 - 2023-08-211236Rocket5Gulls3BLSommaire du match
155 - 2023-08-231246Gulls6Penguins5AWXXSommaire du match
158 - 2023-08-261266Wolves2Gulls4BWSommaire du match
162 - 2023-08-301288Monsters3Gulls1BLSommaire du match
163 - 2023-08-311302Gulls7Firebirds3AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance81,14338,556
Assistance PCT98.95%94.04%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2919 - 97.32% 69,268$2,840,005$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,658,857$ 840,417$ 840,417$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,063$ 1,008,881$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 8,978$ 0$




Gulls Leaders statistiques (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 (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