Connexion

San Diego Gulls
GP: 1 | W: 1 | L: 0
GF: 3 | GA: 2 | PP%: 25.00% | PK%: 0%
DG: Sebastien Verville | Morale : 84 | Moyenne d’équipe : 63
Prochains matchs #13 vs Ontario Reign
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Centre de jeu
Ontario Reign
0-1-0, 0pts
2
FINAL
3 San Diego Gulls
1-0-0, 2pts
Team Stats
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-0
0-1-0Derniers 10 matchs1-0-0
2.00Buts par match 3.00
3.00Buts contre par match 2.00
0%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique0%
Ontario Reign
0-1-0, 0pts
Jour 4
San Diego Gulls
1-0-0, 2pts
Statistiques d’équipe
L1SéquenceW1
0-0-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-0
0-1-010 derniers matchs1-0-0
2.00Buts par match 3.00
3.00Buts contre par match 3.00
0%Pourcentage en avantage numérique25.00%
75.00%Pourcentage en désavantage numérique0%
San Diego Gulls
1-0-0, 2pts
Jour 6
Ontario Reign
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
2.00Buts contre par match 2.00
25.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique75.00%
San Diego Gulls
1-0-0, 2pts
Jour 8
Ontario Reign
0-1-0, 0pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-1-0
1-0-010 derniers matchs0-1-0
3.00Buts par match 2.00
2.00Buts contre par match 2.00
25.00%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique75.00%
Meneurs d'équipe
Joseph CramarossaButs
Joseph Cramarossa
2
Passes
Adam Ruzicka
2
Points
Adam Ruzicka
2
Plus/Moins
Corey Schueneman
2
Victoires
Pheonix Copley
1
Pourcentage d’arrêts
Pheonix Copley
0.941

Statistiques d’équipe
Buts pour
3
3.00 GFG
Tirs pour
37
37.00 Avg
Pourcentage en avantage numérique
25.0%
1 GF
Début de zone offensive
44.9%
Buts contre
2
2.00 GAA
Tirs contre
34
34.00 Avg
Pourcentage en désavantage numérique
0%%
0 GA
Début de la zone défensive
31.9%
Informations de l'équipe

Directeur généralSebastien Verville
EntraîneurTodd Nelson
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure21
Limite contact 47 / 100
Espoirs18


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 moyen
1Adam Ruzicka0XX100.005938956880777870766264595865695963641244800,000$
2Jayson Megna0XXX100.006639816575758362845961666280764536640343775,000$
3Joseph Cramarossa0XXX100.007246676575767365656464656581744989642313775,000$
4John Hayden 0XXX100.007981646788878061695964686963625333642292800,000$
5Max Jones0XX100.0075446765878173635760616866707274356422631,295,000$
6Callahan Burke0XX100.006055786367868463656263685560506089630271750,000$
7Ethen Frank0XXX100.006655776266777560606465686266627584630262800,000$
8Ryan McGregor (R)0XX100.006454806171808259656259576164647386610251700,000$
9Dylan McLaughlin0XXX100.007256716369788061555652586071715287600281750,000$
10Brent Gates Jr68XXX100.007042935880727555655654595471695885600264950,000$
11Matvey Petrov (R)0XX100.006645786772727465505654615751517679590213833,000$
12John Farinacci (R)0XX100.006660675967777565506054616256517674592233925,000$
13Danila Klimovich (R)0XX100.007160806083798454605458586064448486592211886,667$
14Brandon Kruse (R)0X100.006645625762727357605853576063425885570253750,000$
15Karl Henriksson (R)14XX100.005340676269777253595554545247477781562232850,000$
16Tucker Poolman0X100.0070418555816665693062607152827640536503013,800,000$
17Corey Schueneman0X100.005939806372858363306460648560615683640281750,000$
18Kristians Rubins0X100.008745845896767958305356604571685767640271775,000$
19Maxwell Crozier (R)0X100.006655686767727260306460625252566484610243833,000$
20Keaton Thompson 0X100.005645765970757854305458605953537284592281800,000$
21Michael Kim0X100.005942875372747351305150594570665859580281750,000$
Rayé
1Ryan Fitzgerald 0XX100.005045796066727755765555585850506030560291750,000$
MOYENNE D’ÉQUIPE100.00664977627477776054595862596461637161
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 moyen
1Pheonix Copley34100.00828180888182848584818180864791810322825,000$
2Jonas Johansson 33100.00727570937473757374747468815686742281775,000$
Rayé
1Calvin Pickard0100.007568677974737573727575788456207223221,200,000$
2Garrett Metcalf0100.00657070856059616260565965407824610283775,000$
MOYENNE D’ÉQUIPE100.0074747286727274737372727373595572
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson65727169818569CAN5311,000,000$


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
1Adam RuzickaSan Diego Gulls (ANA)C/LW1022100126110%02222.000113300000000%112001.8200000001
2Joseph CramarossaSan Diego Gulls (ANA)C/LW/RW12021000283125.00%22222.0010133000001047.83%2340001.8200000100
3Corey SchuenemanSan Diego Gulls (ANA)D1011200122100%02424.200000200000000%010000.8300000000
4Jayson MegnaSan Diego Gulls (ANA)C/LW/RW1011000024220%01313.430000100000000%000001.4900000000
5Dylan McLaughlinSan Diego Gulls (ANA)C/LW/RW11010002040025.00%01212.720001100000000%000001.5700000000
6Callahan BurkeSan Diego Gulls (ANA)C/RW1000100142030%01919.45000010000000100.00%21100000000000
7Maxwell CrozierSan Diego Gulls (ANA)D1000-200010000%21414.700000300000000%00000000000000
8Ryan McGregorSan Diego Gulls (ANA)C/LW1000000120010%01212.7700001000000038.46%131000000000000
9Keaton Thompson San Diego Gulls (ANA)D1000000001030%02020.730000000000000%00100000000000
10Ethen FrankSan Diego Gulls (ANA)C/LW/RW1000000012010%01818.020000300000000%00000000000000
11Karl Henriksson San Diego Gulls (ANA)C/RW1000000000000%011.070000100000000%00000000000000
12Matvey PetrovSan Diego Gulls (ANA)LW/RW1000-100002030%088.770000000000000%10000000000000
13Danila KlimovichSan Diego Gulls (ANA)C/RW1000-100000010%088.7700000000000033.33%31000000000000
14John Hayden San Diego Gulls (ANA)C/LW/RW1000000000400%01414.6800000000000033.33%30000000000000
15Tucker PoolmanSan Diego Gulls (ANA)D1000000102210%12424.480000300000000%00100000000000
16Max JonesSan Diego Gulls (ANA)LW/RW1000000212220%01717.5700001000000050.00%180000000000000
17Brent Gates JrSan Diego Gulls (ANA)C/LW/RW1000-100011100%188.7700000000000020.00%50000000000000
18Kristians RubinsSan Diego Gulls (ANA)D1000200311010%22424.570000200000000%00100000000000
19Michael KimSan Diego Gulls (ANA)D1000-200010000%21111.320000000000000%01000000000000
Statistiques d’équipe totales ou en moyenne1934700012203716208.11%1030015.79112730000001043.48%69106000.4700000101
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
1Pheonix CopleySan Diego Gulls (ANA)11000.9412.00600023416000010010
Statistiques d’équipe totales ou en moyenne11000.9412.0060002341600010010


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Non Activé 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 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
Adam RuzickaSan Diego Gulls (ANA)C/LW241999-05-11No202 Lbs6 ft4NoNoN/ANoNo4Pro & Farm800,000$685,714$800,000$685,714$0$0$No800,000$800,000$800,000$------NoNoNo------Lien
Brandon KruseSan Diego Gulls (ANA)LW251999-03-06 06:43:37Yes69 Lbs6 ft3NoNoN/ANoNo3Pro & Farm750,000$642,857$750,000$642,857$0$0$No750,000$750,000$-------NoNo-------Lien
Brent Gates JrSan Diego Gulls (ANA)C/LW/RW261997-08-12No198 Lbs6 ft2NoNoN/ANoNo4Pro & Farm950,000$814,286$950,000$814,286$0$0$No950,000$950,000$950,000$------NoNoNo------Lien
Callahan BurkeSan Diego Gulls (ANA)C/RW271997-03-24 09:51:56No183 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Calvin PickardSan Diego Gulls (ANA)G321992-04-15No210 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$1,028,571$1,200,000$1,028,571$0$0$No1,200,000$--------No--------Lien / Lien NHL
Corey SchuenemanSan Diego Gulls (ANA)D281995-09-02 10:49:11No197 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Danila KlimovichSan Diego Gulls (ANA)C/RW212003-01-09 06:48:09Yes202 Lbs6 ft1NoNoN/ANoNo1Pro & Farm886,667$760,000$886,667$760,000$0$0$No------------------
Dylan McLaughlinSan Diego Gulls (ANA)C/LW/RW281995-06-05 08:48:54No187 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Ethen FrankSan Diego Gulls (ANA)C/LW/RW261998-02-05 02:37:29No178 Lbs5 ft10NoNoN/ANoNo2Pro & Farm800,000$685,714$800,000$685,714$0$0$No800,000$--------No--------Lien
Garrett MetcalfSan Diego Gulls (ANA)G281996-03-05 06:44:57No185 Lbs6 ft3NoNoN/ANoNo3Pro & Farm775,000$664,286$775,000$664,286$0$0$No775,000$775,000$-------NoNo-------
Jayson MegnaSan Diego Gulls (ANA)C/LW/RW341990-02-01No195 Lbs6 ft1NoNoN/ANoNo3Farm Only775,000$664,286$775,000$664,286$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
John Farinacci San Diego Gulls (ANA)C/RW232001-02-14 11:54:58Yes185 Lbs6 ft0NoNoN/ANoNo3Pro & Farm925,000$792,857$925,000$792,857$0$0$No925,000$925,000$-------NoNo-------Lien
John Hayden San Diego Gulls (ANA)C/LW/RW291995-02-14 04:07:11No223 Lbs6 ft3NoNoN/ANoNo2Farm Only800,000$685,714$800,000$685,714$0$0$No800,000$--------No--------
Jonas Johansson San Diego Gulls (ANA)G281995-09-19 02:50:28No220 Lbs6 ft4NoNoN/ANoNo1Pro & Farm775,000$664,286$775,000$664,286$0$0$No------------------
Joseph CramarossaSan Diego Gulls (ANA)C/LW/RW311992-10-26No193 Lbs6 ft1NoNoN/ANoNo3Farm Only775,000$664,286$775,000$664,286$0$0$No775,000$775,000$-------NoNo-------Lien / Lien NHL
Karl Henriksson San Diego Gulls (ANA)C/RW232001-02-05 03:12:15Yes179 Lbs5 ft9NoNoN/ANoNo2Pro & Farm850,000$728,571$850,000$728,571$0$0$No850,000$--------No--------
Keaton Thompson San Diego Gulls (ANA)D281995-09-14 03:41:11No194 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$685,714$800,000$685,714$0$0$No------------------
Kristians RubinsSan Diego Gulls (ANA)D271996-12-11No227 Lbs6 ft5NoNoN/ANoNo1Farm Only775,000$664,286$775,000$664,286$0$0$No------------------Lien
Matvey PetrovSan Diego Gulls (ANA)LW/RW212003-03-12 11:52:05Yes195 Lbs6 ft2NoNoN/ANoNo3Pro & Farm833,000$714,000$833,000$714,000$0$0$No833,000$833,000$-------NoNo-------Lien
Max JonesSan Diego Gulls (ANA)LW/RW261998-02-17No220 Lbs6 ft1NoNoN/ANoNo3Pro & Farm1,295,000$1,110,000$1,295,000$1,110,000$0$0$No1,295,000$1,295,000$-------NoNo-------Lien
Maxwell CrozierSan Diego Gulls (ANA)D242000-04-19 04:55:20Yes185 Lbs6 ft2NoNoDraftNoNo3Pro & Farm833,000$714,000$833,000$714,000$0$0$No833,000$833,000$-------NoNo-------Lien
Michael KimSan Diego Gulls (ANA)D281995-06-28No200 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------Lien
Pheonix CopleySan Diego Gulls (ANA)G321992-01-18No200 Lbs6 ft4NoNoN/ANoNo2Pro & Farm825,000$707,143$825,000$707,143$0$0$No825,000$--------No--------Lien
Ryan Fitzgerald San Diego Gulls (ANA)C/LW291994-07-26 02:44:45No172 Lbs5 ft8NoNoN/ANoNo1Pro & Farm750,000$642,857$750,000$642,857$0$0$No------------------
Ryan McGregorSan Diego Gulls (ANA)C/LW251999-01-28 06:21:04Yes168 Lbs6 ft0NoNoN/ANoNo1Pro & Farm700,000$600,000$700,000$600,000$0$0$No------------------
Tucker PoolmanSan Diego Gulls (ANA)D301993-06-08No199 Lbs7 ft0NoNoN/ANoNo1Pro & Farm3,800,000$3,257,143$3,800,000$3,257,143$0$0$No------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.04191 Lbs6 ft12.04948,949$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam RuzickaJoseph CramarossaCallahan Burke35023
2John Hayden Max JonesEthen Frank30023
3Jayson MegnaRyan McGregorDylan McLaughlin20113
4Matvey PetrovBrent Gates JrDanila Klimovich15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanKeaton Thompson 38122
2Kristians RubinsCorey Schueneman32122
3Michael KimMaxwell Crozier20122
4Kristians RubinsCorey Schueneman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam RuzickaJoseph CramarossaEthen Frank60113
2Jayson MegnaMax JonesCallahan Burke40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Maxwell CrozierTucker Poolman60113
2Corey SchuenemanKristians Rubins40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joseph CramarossaEthen Frank60131
2Max JonesCallahan Burke40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kristians RubinsMaxwell Crozier60131
2Tucker PoolmanCorey Schueneman40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Callahan Burke60140Maxwell CrozierKristians Rubins60140
2Joseph Cramarossa40140Keaton Thompson Corey Schueneman40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Callahan BurkeJoseph Cramarossa60023
2Ethen FrankAdam Ruzicka40023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tucker PoolmanMaxwell Crozier60122
2Corey SchuenemanKristians Rubins40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesAdam RuzickaJoseph CramarossaTucker PoolmanKristians Rubins
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max JonesAdam RuzickaJoseph CramarossaTucker PoolmanKristians Rubins
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joseph Cramarossa, Callahan Burke, Ethen FrankJoseph Cramarossa, Callahan BurkeJoseph Cramarossa
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxwell Crozier, Kristians Rubins, Corey SchuenemanMaxwell CrozierMaxwell Crozier, Corey Schueneman
Tirs de pénalité
Jayson Megna, Ethen Frank, Joseph Cramarossa, Callahan Burke, Adam Ruzicka
Gardien
#1 : Pheonix Copley, #2 : Jonas Johansson
Lignes d’attaque personnalisées en prolongation
Ethen Frank, Callahan Burke, Adam Ruzicka, Max Jones, Joseph Cramarossa, John Hayden , John Hayden , Dylan McLaughlin, Brent Gates Jr, Matvey Petrov, Danila Klimovich
Lignes de défense personnalisées en prolongation
Michael Kim, Tucker Poolman, Kristians Rubins, Maxwell Crozier, Corey Schueneman


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
1Ontario Reign11000000321110000003210000000000021.0003470001203781712034100124125.00%000%0123138.71%102245.45%81650.00%2314188188
Total11000000321110000003210000000000021.0003470001203781712034100124125.00%000%0123138.71%102245.45%81650.00%2314188188
_Since Last GM Reset11000000321110000003210000000000021.0003470001203781712034100124125.00%000%0123138.71%102245.45%81650.00%2314188188
_Vs Conference11000000321110000003210000000000021.0003470001203781712034100124125.00%000%0123138.71%102245.45%81650.00%2314188188
_Vs Division11000000321110000003210000000000021.0003470001203781712034100124125.00%000%0123138.71%102245.45%81650.00%2314188188

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
12W134737341001200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000032
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
100000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
4125.00%000%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
8171200120
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
123138.71%102245.45%81650.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2314188188


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
25Ontario Reign2San Diego Gulls3BWSommaire du match
413Ontario Reign-San Diego Gulls-
621San Diego Gulls-Ontario Reign-
829San Diego Gulls-Ontario Reign-
1037Ontario Reign-San Diego Gulls-
1245San Diego Gulls-Ontario Reign-
1453Ontario Reign-San Diego Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,467,267$ 2,467,267$ 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$ 12 0$ 0$




San Diego 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

San Diego 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

San Diego 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

San Diego 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

San Diego 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