Connexion

San Diego Seagulls
GP: 26 | W: 11 | L: 12 | OTL: 3 | P: 25
GF: 131 | GA: 163 | PP%: 31.25% | PK%: 58.16%
DG: Olivier Lemay | Morale : 92 | Moyenne d’équipe : N/A
Prochains matchs #373 vs Belleville Senators
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Centre de jeu
Springfield Thunderbirds
13-6-3, 29pts
6
FINAL
7 San Diego Seagulls
11-12-3, 25pts
Team Stats
L1SéquenceW1
9-3-0Fiche domicile6-4-1
4-3-3Fiche domicile5-8-2
6-1-3Derniers 10 matchs5-3-2
4.23Buts par match 5.04
3.14Buts contre par match 6.27
27.12%Pourcentage en avantage numérique31.25%
79.27%Pourcentage en désavantage numérique58.16%
San Diego Seagulls
11-12-3, 25pts
7
FINAL
5 Stockton Heat
2-17-3, 7pts
Team Stats
W1SéquenceL4
6-4-1Fiche domicile2-7-3
5-8-2Fiche domicile0-10-0
5-3-2Derniers 10 matchs1-8-1
5.04Buts par match 3.32
6.27Buts contre par match 5.95
31.25%Pourcentage en avantage numérique25.33%
58.16%Pourcentage en désavantage numérique73.08%
San Diego Seagulls
11-12-3, 25pts
Jour 73
Belleville Senators
17-4-2, 36pts
Statistiques d’équipe
W1SéquenceL1
6-4-1Fiche domicile11-0-0
5-8-2Fiche visiteur6-4-2
5-3-210 derniers matchs5-4-1
5.04Buts par match 5.48
6.27Buts contre par match 5.48
31.25%Pourcentage en avantage numérique25.00%
58.16%Pourcentage en désavantage numérique87.10%
Iowa Wild
11-9-2, 24pts
Jour 75
San Diego Seagulls
11-12-3, 25pts
Statistiques d’équipe
L1SéquenceW1
7-3-1Fiche domicile6-4-1
4-6-1Fiche visiteur5-8-2
4-5-110 derniers matchs5-3-2
4.41Buts par match 5.04
4.41Buts contre par match 5.04
26.58%Pourcentage en avantage numérique31.25%
62.32%Pourcentage en désavantage numérique58.16%
San Diego Seagulls
11-12-3, 25pts
Jour 77
Hershey Bears
13-8-2, 28pts
Statistiques d’équipe
W1SéquenceL2
6-4-1Fiche domicile7-4-0
5-8-2Fiche visiteur6-4-2
5-3-210 derniers matchs4-5-1
5.04Buts par match 4.96
6.27Buts contre par match 4.96
31.25%Pourcentage en avantage numérique35.82%
58.16%Pourcentage en désavantage numérique59.60%
Meneurs d'équipe
Buts
Jordan Gustafson
24
Passes
Jordan Gustafson
24
Points
Jordan Gustafson
48
Marian StudenicPlus/Moins
Marian Studenic
1
Olle Eriksson EkVictoires
Olle Eriksson Ek
6
Olle Eriksson EkPourcentage d’arrêts
Olle Eriksson Ek
0.807

Statistiques d’équipe
Buts pour
131
5.04 GFG
Tirs pour
812
31.23 Avg
Pourcentage en avantage numérique
31.3%
30 GF
Début de zone offensive
36.1%
Buts contre
163
6.27 GAA
Tirs contre
781
30.04 Avg
Pourcentage en désavantage numérique
58.2%%
41 GA
Début de la zone défensive
31.2%
Informations de l'équipe

Directeur généralOlivier Lemay
EntraîneurDavid Oliver
DivisionDivision 3
ConférenceConference 1
Capitaine
Assistant #1Josh Mahura
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,229
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 55
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
1Alex NewhookX100.00573594756984787578737264757672838400222925,000$
2Austin WagnerXX100.00824286697484876759656469667371578400261950,000$
3Carsen TwarynskiXXX100.00803594628176715768565958637370598400252700,000$
4Derick BrassardXX96.00773594687783896981706562719590498400351950,000$
5Marian StudenicX100.0070378463718077635961625863706955840X0242800,000$
6Riley TufteX100.0093866758998389565555546354707178840X0252800,000$
7Tommy NovakX100.00623592647381866477655964637370598400263875,000$
8Vinni LettieriXX100.0065359661707775676767685667777238840X0282800,000$
9Matthew Wood (R)X100.00735092777888857656656864815757888400183925,000$
10Ryan Greene (R)X100.00635080756384818076676758775857788400192800,000$
11Kasper Halttunen (R)X100.00795590708389887156636166725656858200183850,000$
12Jordan Gustafson (R)X100.00725479707274727477716954525352798400192900,000$
13Aaron NessX99.00603596636769686230645863529281538400331700,000$
14Adam ClendeningX100.00706562637387926530685661528375597800301700,000$
15Axel AnderssonX100.00603595647272786633636065547268728400232700,000$
16Otto LeskinenX100.00743596637076776030615759497471398400262700,000$
17Simon BenoitX100.0080379262838679593060566748716941840X0242800,000$
18Olen Zellweger (R)X100.00675082767283857736666472705555808400203700,000$
Rayé
1Josh Mahura (A)X96.15553594667280756930716462537068607700253925,000$
2Nick DeSimoneX100.00663791597873795530615458478073347400282800,000$
MOYENNE D’ÉQUIPE99.5570448866758081675365626261716862830
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
1Garret Sparks100.0071858384796869696871708591378700301700,000$
2Olle Eriksson Ek98.0076838084797376767473716771728400241975,000$
Rayé
1Olivier Rodrigue100.0071888671767069676872717773658200232900,000$
MOYENNE D’ÉQUIPE99.337385838078707171707271767858840
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Oliver63677058746976CAN501900,000$


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
1Jordan GustafsonSan Diego Seagulls (ANA)C26242448-22204219107315522.43%448218.55811193076000001145.00%20664031.9900000512
2Matthew WoodSan Diego Seagulls (ANA)RW26181937-760483289315320.22%541315.9027920720110192022.73%22626001.7900000113
3Alex NewhookSan Diego Seagulls (ANA)C26211435-720153893264522.58%940515.5933611210000102049.76%211435011.7301000104
4Derick BrassardSan Diego Seagulls (ANA)C/RW26161834-1120475971336122.54%1258222.42591413761015972157.91%6135212011.1712000211
5Austin WagnerSan Diego Seagulls (ANA)LW/RW26121830-6100705285235714.12%2353420.5653816720001330041.67%242720001.1212000221
6Vinni LettieriSan Diego Seagulls (ANA)C/RW26121830-720243449274524.49%1050519.451679720000180149.26%337209011.1900000031
7Kasper HalttunenSan Diego Seagulls (ANA)RW2661521-11221031257429578.11%1339315.1500000000000033.33%27379001.0700011110
8Aaron NessSan Diego Seagulls (ANA)D2621820-64017533920225.13%4466825.72134989011287010%0433000.6000000000
9Adam ClendeningSan Diego Seagulls (ANA)D2621012-1711556443213146.25%3062624.09246789000062000%0427000.3800030000
10Marian StudenicSan Diego Seagulls (ANA)RW25391212018928161710.71%41767.0600000000090020.00%5240001.3600000010
11Simon BenoitSan Diego Seagulls (ANA)D2601111-11002248186120%2242516.35011433000010000%0221000.5200000000
12Olen ZellwegerSan Diego Seagulls (ANA)D264711-2120145327141214.81%2538514.8100000101319000%0618000.5700000000
13Tommy NovakSan Diego Seagulls (ANA)C26279-100513197910.53%31264.8500000000001052.44%8253001.4300000001
14Otto LeskinenSan Diego Seagulls (ANA)D26257-154031431891111.11%3557422.10213460000263000%0024000.2400000000
15Ryan GreeneSan Diego Seagulls (ANA)C26527-18081325171120.00%11074.1200000000002042.86%7152001.3100000000
16Carsen TwarynskiSan Diego Seagulls (ANA)C/LW/RW26044-71002719104120%1049419.010112550000640040.00%25103000.1601000000
17Riley TufteSan Diego Seagulls (ANA)LW26044-7280562112360%435113.5300000000020025.00%837000.2300000000
18Nick DeSimoneSan Diego Seagulls (ANA)D11123-104081382212.50%922820.74112326000016000%019000.2600000000
19Axel AnderssonSan Diego Seagulls (ANA)D15022-6004258560%623515.690000000000000%019000.1701000000
20Josh MahuraSan Diego Seagulls (ANA)D1000-100000000%100.570000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne468130207337-1082192554361381231650716.01%270771716.493050801287472241351410451.99%1381382221060.8727041121013
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
1Olle Eriksson EkSan Diego Seagulls (ANA)216430.8075.699390089462246100.75041511010
2Olivier RodrigueSan Diego Seagulls (ANA)114500.8036.1246100472391382000110000
3Garret SparksSan Diego Seagulls (ANA)71300.6758.86176002680410000015000
Statistiques d’équipe totales ou en moyenne39111230.7936.161577001627814253042626010


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 Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 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
Aaron NessSan Diego Seagulls (ANA)D331990-05-18No186 Lbs5 ft10NoNoAssign ManuallyNoNo12024-01-21FalseFalsePro & Farm700,000$0$0$No------------------Lien
Adam ClendeningSan Diego Seagulls (ANA)D301992-10-26No201 Lbs6 ft0NoNoAssign ManuallyNoNo12024-01-23FalseFalsePro & Farm700,000$0$0$No------------------Lien / Lien NHL
Alex NewhookSan Diego Seagulls (ANA)C222001-01-28No205 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Austin WagnerSan Diego Seagulls (ANA)LW/RW261997-06-23No191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien / Lien NHL
Axel AnderssonSan Diego Seagulls (ANA)D232000-02-10No189 Lbs6 ft0NoNoTrade2024-01-04NoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------Lien / Lien NHL
Carsen TwarynskiSan Diego Seagulls (ANA)C/LW/RW251997-11-24No206 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------Lien / Lien NHL
Derick BrassardSan Diego Seagulls (ANA)C/RW351987-09-22No205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No------------------Lien / Lien NHL
Garret SparksSan Diego Seagulls (ANA)G301993-06-28No205 Lbs6 ft3NoNoAssign ManuallyNoNo12024-01-04FalseFalsePro & Farm700,000$0$0$No------------------Lien / Lien NHL
Jordan GustafsonSan Diego Seagulls (ANA)C192004-01-20Yes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Josh MahuraSan Diego Seagulls (ANA)D251998-05-05No192 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------Lien / Lien NHL
Kasper HalttunenSan Diego Seagulls (ANA)RW182005-06-07 14:25:37Yes212 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------NoNo-------
Marian StudenicSan Diego Seagulls (ANA)RW241998-10-28No173 Lbs6 ft1NoYesN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Matthew WoodSan Diego Seagulls (ANA)RW182005-02-06 08:35:24Yes195 Lbs6 ft5NoNoN/ANoNo3FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------NoNo-------
Nick DeSimoneSan Diego Seagulls (ANA)D281994-11-21No194 Lbs6 ft2NoNoTrade2024-01-04NoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Olen ZellwegerSan Diego Seagulls (ANA)D202003-09-10 12:39:19Yes182 Lbs5 ft9NoNoProspectNoNo32023-12-11FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------NoNo-------
Olivier RodrigueSan Diego Seagulls (ANA)G232000-07-06No165 Lbs6 ft1NoNoTrade2024-01-04NoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------Lien
Olle Eriksson EkSan Diego Seagulls (ANA)G241999-06-22No195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------Lien / Lien NHL
Otto LeskinenSan Diego Seagulls (ANA)D261997-02-06No192 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm700,000$0$0$No700,000$--------No--------Lien
Riley TufteSan Diego Seagulls (ANA)LW251998-04-10No241 Lbs6 ft6NoYesN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Ryan GreeneSan Diego Seagulls (ANA)C192003-10-21Yes176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien
Simon BenoitSan Diego Seagulls (ANA)D241998-09-19No195 Lbs6 ft3NoYesN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien / Lien NHL
Tommy NovakSan Diego Seagulls (ANA)C261997-04-28No186 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm875,000$0$0$No875,000$875,000$-------NoNo-------Lien / Lien NHL
Vinni LettieriSan Diego Seagulls (ANA)C/RW281995-02-06No189 Lbs5 ft11NoYesN/ANoNo2FalseFalsePro & Farm800,000$0$0$No800,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.83194 Lbs6 ft11.96820,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan GreeneDerick BrassardKasper Halttunen40005
2Austin WagnerVinni LettieriJordan Gustafson30005
3Riley TufteAlex NewhookMatthew Wood20014
4Alex NewhookTommy NovakMatthew Wood10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessAdam Clendening40041
2Axel AnderssonOtto Leskinen35041
3Simon BenoitOlen Zellweger25050
4Aaron NessAdam Clendening0050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex NewhookDerick BrassardJordan Gustafson60005
2Austin WagnerVinni LettieriMatthew Wood40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessAdam Clendening60005
2Simon BenoitOtto Leskinen40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Derick BrassardMatthew Wood60050
2Vinni LettieriAustin Wagner40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessAdam Clendening60050
2Olen ZellwegerOtto Leskinen40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Derick Brassard60050Aaron NessAdam Clendening60050
2Vinni Lettieri40050Olen ZellwegerOtto Leskinen40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Derick BrassardMatthew Wood60005
2Vinni LettieriAustin Wagner40005
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessAdam Clendening60005
2Simon BenoitOtto Leskinen40005
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookDerick BrassardMatthew WoodAaron NessAdam Clendening
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookDerick BrassardMatthew WoodAaron NessAdam Clendening
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Derick Brassard, Matthew Wood, Kasper HalttunenDerick Brassard, Matthew WoodDerick Brassard
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Otto Leskinen, Simon Benoit, Olen ZellwegerOtto LeskinenOtto Leskinen, Simon Benoit
Tirs de pénalité
Alex Newhook, Austin Wagner, Derick Brassard, Vinni Lettieri, Matthew Wood
Gardien
#1 : Olle Eriksson Ek, #2 : Garret Sparks
Lignes d’attaque personnalisées en prolongation
Ryan Greene, Austin Wagner, Derick Brassard, Vinni Lettieri, Jordan Gustafson, Matthew Wood, Matthew Wood, Kasper Halttunen, Riley Tufte, Alex Newhook, Tommy Novak
Lignes de défense personnalisées en prolongation
Aaron Ness, Adam Clendening, Olen Zellweger, Otto Leskinen, Simon Benoit


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
1Belleville Senators30300000723-161010000037-420200000416-1200.00071219004440444822802762481492272249700.00%11372.73%025349251.42%23442555.06%23144751.68%576364592214410203
2Chicago Wolves10000010541000000000001000001054121.00057120044404442128027624814381310172150.00%50100.00%025349251.42%23442555.06%23144751.68%576364592214410203
3Cleaveland Monsters2100000114104110000009451000000156-130.7501421350044404446528027624814572910448112.50%5340.00%025349251.42%23442555.06%23144751.68%576364592214410203
4Coachella Valley Firebirds10001000211000000000001000100021121.00023500444044431280276248143213625200.00%3166.67%025349251.42%23442555.06%23144751.68%576364592214410203
5Colorado Eagles10100000511-60000000000010100000511-600.000591400444044429280276248143958103133.33%4250.00%025349251.42%23442555.06%23144751.68%576364592214410203
6Henderson Silver Knights311001002023-311000000651201001001418-430.500203252004440444104280276248149739245711327.27%7442.86%025349251.42%23442555.06%23144751.68%576364592214410203
7Hershey Bears2110000011101110000008531010000035-220.50011162700444044466280276248145023124512650.00%60100.00%125349251.42%23442555.06%23144751.68%576364592214410203
8Iowa Wild211000001091110000007251010000037-420.5001015250044404446228027624814521416349222.22%8537.50%025349251.42%23442555.06%23144751.68%576364592214410203
9Milwaukee Admirals11000000853110000008530000000000021.0008142200444044433280276248143088267457.14%440.00%025349251.42%23442555.06%23144751.68%576364592214410203
10Providence Bruins1000010067-11000010067-10000000000010.5006101600444044428280276248143276233133.33%30100.00%025349251.42%23442555.06%23144751.68%576364592214410203
11Rockford IceHogs1010000019-81010000019-80000000000000.00012300444044432280276248142111227200.00%110.00%025349251.42%23442555.06%23144751.68%576364592214410203
12Springfield Thunderbirds10001000761100010007610000000000021.00071118004440444392802762481432912246233.33%6433.33%025349251.42%23442555.06%23144751.68%576364592214410203
13Stockton Heat11000000752000000000001100000075221.000713200044404442728027624814321018284125.00%4175.00%025349251.42%23442555.06%23144751.68%576364592214410203
14Syracuse Crunch21100000101001010000045-11100000065120.5001014240044404446428027624814601724385240.00%12466.67%025349251.42%23442555.06%23144751.68%576364592214410203
15Tucson Roadrunners11000000981000000000001100000098121.00091524004440444422802762481427610315360.00%6350.00%125349251.42%23442555.06%23144751.68%576364592214410203
16Utica Comets1010000017-6000000000001010000017-600.00011200444044428280276248142913920000%2150.00%025349251.42%23442555.06%23144751.68%576364592214410203
17Wilkes-Barre/Scranton Penguins20200000815-71010000048-41010000047-300.0008122000444044459280276248146126224510330.00%11554.55%025349251.42%23442555.06%23144751.68%576364592214410203
Total2681202211131163-321154011006363015380111168100-32250.48113120733800444044481228027624814781270219543963031.25%984158.16%225349251.42%23442555.06%23144751.68%576364592214410203
_Since Last GM Reset2681202211131163-321154011006363015380111168100-32250.48113120733800444044481228027624814781270219543963031.25%984158.16%225349251.42%23442555.06%23144751.68%576364592214410203
_Vs Conference17590020186113-27733001004041-11026001014672-26130.3828613321900444044453828027624814505187139352611931.15%632363.49%225349251.42%23442555.06%23144751.68%576364592214410203

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2625W113120733881278127021954300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
268122211131163
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
115411006363
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1538111168100
Derniers 10 matchs
WLOTWOTL SOWSOL
332101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
963031.25%984158.16%2
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
280276248144440444
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
25349251.42%23442555.06%23144751.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
576364592214410203


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
13Syracuse Crunch5San Diego Seagulls4LSommaire du match
29San Diego Seagulls1Belleville Senators9LSommaire du match
843Henderson Silver Knights5San Diego Seagulls6WSommaire du match
1263San Diego Seagulls6Syracuse Crunch5WSommaire du match
1581Iowa Wild2San Diego Seagulls7WSommaire du match
20104Belleville Senators7San Diego Seagulls3LSommaire du match
22114San Diego Seagulls3Belleville Senators7LSommaire du match
26134Wilkes-Barre/Scranton Penguins8San Diego Seagulls4LSommaire du match
29147San Diego Seagulls3Hershey Bears5LSommaire du match
32164San Diego Seagulls8Henderson Silver Knights9LXSommaire du match
34172Milwaukee Admirals5San Diego Seagulls8WSommaire du match
37185San Diego Seagulls4Wilkes-Barre/Scranton Penguins7LSommaire du match
40204San Diego Seagulls5Chicago Wolves4WXXSommaire du match
43218Hershey Bears5San Diego Seagulls8WSommaire du match
45228Rockford IceHogs9San Diego Seagulls1LSommaire du match
47240San Diego Seagulls6Henderson Silver Knights9LSommaire du match
49253San Diego Seagulls2Coachella Valley Firebirds1WXSommaire du match
51260San Diego Seagulls1Utica Comets7LSommaire du match
54272San Diego Seagulls3Iowa Wild7LSommaire du match
56285Cleaveland Monsters4San Diego Seagulls9WSommaire du match
58299San Diego Seagulls9Tucson Roadrunners8WSommaire du match
60307San Diego Seagulls5Cleaveland Monsters6LXXSommaire du match
62320Providence Bruins7San Diego Seagulls6LXSommaire du match
64328San Diego Seagulls5Colorado Eagles11LSommaire du match
68350Springfield Thunderbirds6San Diego Seagulls7WXSommaire du match
70360San Diego Seagulls7Stockton Heat5WSommaire du match
73373San Diego Seagulls-Belleville Senators-
75384Iowa Wild-San Diego Seagulls-
77396San Diego Seagulls-Hershey Bears-
82415Toronto Marlies-San Diego Seagulls-
87439San Diego Seagulls-Syracuse Crunch-
89448Tucson Roadrunners-San Diego Seagulls-
93466San Diego Seagulls-Grand Rapids Griffins-
95476San Diego Seagulls-San Jose Barracuda-
96480Stockton Heat-San Diego Seagulls-
100500San Diego Seagulls-Chicago Wolves-
103509San Diego Seagulls-Rockford IceHogs-
104514Bridgeport Sound Tigers-San Diego Seagulls-
108537San Diego Seagulls-Laval Rocket-
110544Laval Rocket-San Diego Seagulls-
112557San Diego Seagulls-Canucks Abbotsford-
115576San Jose Barracuda-San Diego Seagulls-
118592San Diego Seagulls-Toronto Marlies-
120608Canucks Abbotsford-San Diego Seagulls-
124623San Diego Seagulls-Hartford Wolfpack-
126639Rochester Americans-San Diego Seagulls-
133672Lehigh Valley Phantoms-San Diego Seagulls-
139704Manitoba Moose-San Diego Seagulls-
142722San Diego Seagulls-Texas Stars-
144734Henderson Silver Knights-San Diego Seagulls-
147754San Diego Seagulls-Wilkes-Barre/Scranton Penguins-
150766Wilkes-Barre/Scranton Penguins-San Diego Seagulls-
156795Colorado Eagles-San Diego Seagulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
161823Hershey Bears-San Diego Seagulls-
163830San Diego Seagulls-Providence Bruins-
165842San Diego Seagulls-Bakersfield Condors-
169858Chicago Wolves-San Diego Seagulls-
173882San Diego Seagulls-Milwaukee Admirals-
175892Milwaukee Admirals-San Diego Seagulls-
177900San Diego Seagulls-Manitoba Moose-
181926San Diego Seagulls-Bridgeport Sound Tigers-
182927Syracuse Crunch-San Diego Seagulls-
188959Ontario Reigh-San Diego Seagulls-
193985Utica Comets-San Diego Seagulls-
1991013Texas Stars-San Diego Seagulls-
2031029San Diego Seagulls-Rochester Americans-
2061044Coachella Valley Firebirds-San Diego Seagulls-
2081061San Diego Seagulls-Charlotte Checkers-
2111079Charlotte Checkers-San Diego Seagulls-
2151097San Diego Seagulls-Springfield Thunderbirds-
2171111Belleville Senators-San Diego Seagulls-
2191119San Diego Seagulls-Ontario Reigh-
2241148Bakersfield Condors-San Diego Seagulls-
2271167Grand Rapids Griffins-San Diego Seagulls-
2331197Hartford Wolfpack-San Diego Seagulls-
2361208San Diego Seagulls-Lehigh Valley Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance17,0157,502
Assistance PCT77.34%68.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 2229 - 74.29% 75,513$830,640$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire des entraineurs
821,577$ 1,887,500$ 1,887,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 545,677$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,038,844$ 169 11,615$ 1,962,935$




San Diego Seagulls 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 Seagulls 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 Seagulls 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 Seagulls 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 Seagulls 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