Gulls

GP: 5 | W: 2 | L: 3 | OTL: 0 | P: 4
GF: 16 | GA: 18 | PP%: 30.56% | PK%: 72.97%
DG: Loic Roberge | Morale : 97 | Moyenne d'Équipe : 58
Prochain matchs #41 vs Penguins
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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 SP
1Jared McCannXX100.00785574827672767976767074557070183710
2Martin FrkXX100.00665569727568717850727271557171185680
3J.T. BrownXXX100.00865571767671736864656370556567189660
4Paul CareyXXX100.00745567756866827170656767557470189660
5Shane PrinceXX100.00645565826866717063616161557070189640
6Andreas MartinsenXXX100.00935578758278646050565760557273173630
7Lias Andersson (R)X100.00725577847061696360626260555550187620
8Marko DanoXX100.00775566816762626650616263555757189620
9Samuel Laberge (R)X100.00765573787862696050606255555050185610
10Cal O'ReillyX100.00705565697365646050596060557571189610
11Michael Dal ColleX100.00795576717569826250606060555050181610
12Frederik GauthierX100.00635571708078576174555660557267149600
13Justin FalkX100.00945576707079686525616175557977175690
14Paul LadueX100.00695563836874737225616870557272187680
15Ethan Bear (R)X100.00695564805775568525626170557070186670
16Taylor ChorneyX100.00725580776573686625626271557070189670
17Dillon HeatheringtonX100.00655560827969676325616063555353189640
18Gabriel Carlsson (R)X100.00695566805770567025616067555555180630
Rayé
1Michael SgarbossaX100.00775566756964646150606060555050157600
2Calvin Thurkauf (R)XXX100.00795578557972825550555555557769156590
3Chris PorterX100.00595572687972745550555555557472157590
4Aaron PalushajX100.00605574747465665850575855555252157580
5Brodie Dupont (R)X100.00675560607974545650555655557569120570
6Brady Brassart (R)X100.00805572555461685550555555557272120560
7JC LiponX100.00555558647163695550555557555050120560
8Jean-Christophe Beaudin (R)X100.00755579557160695550555555555050120550
9Nathan GerbeX100.00625576556072735550555555555050120550
10Alex Dostie (R)X100.00565555555859605550555555557373120550
11Tony Cameranesi (R)X100.00605566635959615550555558555050120550
12Craig CunninghamXX100.00565555555657575550555555557271120540
13Freddie TiffelsX100.00555555555555555550555555557571120540
14Viktor StalbergX100.00565555555555555550555555557372119540
15Hunter SmithX100.00565555555657565550555555555050120530
16Jason AkesonX100.00565555555557565550555555555050120530
17Kris NewburyXX100.00565555555556555550555555555353120530
18Jeremy MorinXX100.00565555555556565550555555555556120530
19Spencer Abbott (R)X100.00565555555555555550555555555050120520
20Joseph LaBateXX100.00555555555555555550555555555050120520
21Laurent DauphinXX100.00555555555555555550555555555050120520
22Jesse Gabrielle (R)X100.00565555555556565550555555555050120520
23Patrice CormierXX100.00565555555555555550555555555050120520
24Chad RuhwedelX100.00825585727978767425626377558074154710
25Matt Greene (R)X100.00595559615959685925595959559085119600
26Dennis WidemanX100.00555555605555555525555555558285120560
27Alex LintuniemiX100.00595559605959585925595959555353120560
28Chris SummersX100.00555555605555725525555555555454120540
29David MusilX100.00555555605555675525555555555353120540
30Mark AltX100.00555555605555635525555555555353120540
31Erik Cernak (R)X100.00555555605555565525555555556262120540
32Sergey Zborovskiy (R)X100.00555555605555555525555555556755120540
33Mason GeertsenX100.00555555605555585525555555555353120530
34Frederic Allard (R)X100.00555555605555565525555555555555120530
35Guillaume Brisebois (R)X100.00555555605555565525555555555555120530
36Jeremy Lauzon (R)X100.00555555605555565525555555555555120530
37Adam Ollas Mattsson (R)X100.00555555605555545525555555555555120530
MOYENNE D'ÉQUIPE100.0064556365646363604358585955626114458
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
1Jordan Binnington100.0068788463686870666970556866142670
2Sean Maguire (R)100.0064526578676368726767555055148640
Rayé
1Jonas Johansson100.0056696682636361606461555759120620
MOYENNE D'ÉQUIPE100.006366727466656666676655586013764
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen53807158818571CAN5351,600,000$


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'ÉquipePOS GP 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
1Justin FalkGulls (Ana)D5538-118021111851027.78%512424.994371229000123000.00%000001.2800000200
2Martin FrkGulls (Ana)LW/RW5246-420712206910.00%212925.8313410270000320050.00%800000.9300000000
3Paul CareyGulls (Ana)C/LW/RW514502051011689.09%19919.931345210001100052.58%9700001.0000000000
4J.T. BrownGulls (Ana)C/LW/RW5044-24014660110.00%110020.190334290000120041.67%1200000.7900000000
5Marko DanoGulls (Ana)LW/RW522406065125716.67%08717.57123720000000033.33%900000.9100000001
6Ethan BearGulls (Ana)D5224-3409992922.22%39719.55224518000017000.00%000000.8200000100
7Shane PrinceGulls (Ana)LW/RW5044000193280.00%08817.80033021000000075.00%400000.9000000000
8Paul LadueGulls (Ana)D5123-31008591911.11%89619.25123618000116100.00%000000.6200000010
9Andreas MartinsenGulls (Ana)C/LW/RW502211201588630.00%08116.29000000001100058.33%6000000.4900000000
10Samuel LabergeGulls (Ana)LW5112100514541020.00%17114.250000000000000.00%200000.5600000000
11Cal O'ReillyGulls (Ana)C51010002420350.00%091.9010116000000050.00%200002.1000000000
12Dillon HeatheringtonGulls (Ana)D5011060780000.00%45911.9900000000011000.00%000000.3300000000
13Gabriel CarlssonGulls (Ana)D510118047101100.00%1387.610000000008100.00%000000.5300000000
14Taylor ChorneyGulls (Ana)D5011040483130.00%05611.200002600000000.00%000000.3600000000
15Lias AnderssonGulls (Ana)C5000-200112120.00%0122.5600000000000021.43%1400000.0000000000
16Michael Dal ColleGulls (Ana)LW5000-200101110.00%0122.56000000000000100.00%200000.0000000000
17Frederik GauthierGulls (Ana)C5000000001100.00%040.870001300000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne85163046-14760110117111419414.41%26117113.781121325320000041442050.95%21000000.7900000311
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
1Jordan BinningtonGulls (Ana)52210.8633.5129100171240000.000050000
2Sean MaguireGulls (Ana)10000.8891.823300190000.000005000
Stats d'équipe Total ou en Moyenne62210.8653.3232500181330000.000055000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Aaron PalushajGulls (Ana)RW271989-09-07No187 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Adam Ollas MattssonGulls (Ana)D201996-07-30Yes209 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Alex DostieGulls (Ana)C191997-04-13Yes174 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Alex LintuniemiGulls (Ana)D211995-09-23No231 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No
Andreas MartinsenGulls (Ana)C/LW/RW261990-06-13No220 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Brady BrassartGulls (Ana)C231993-06-14Yes207 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Brodie DupontGulls (Ana)RW291987-02-17Yes209 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No
Cal O'ReillyGulls (Ana)C301986-09-30No188 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No
Calvin ThurkaufGulls (Ana)C/LW/RW191997-06-27Yes203 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Chad RuhwedelGulls (Ana)D261990-05-07No181 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Chris PorterGulls (Ana)LW321984-05-29No206 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm300,000$0$0$No
Chris SummersGulls (Ana)D281988-02-05No209 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm465,000$0$0$No
Craig CunninghamGulls (Ana)LW/RW261990-09-13No184 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
David MusilGulls (Ana)D231993-04-09No207 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Dennis WidemanGulls (Ana)D331983-03-20No200 Lbs6 ft0NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Dillon HeatheringtonGulls (Ana)D211995-05-09No196 Lbs6 ft3NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$No
Erik CernakGulls (Ana)D191997-05-28Yes203 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Ethan BearGulls (Ana)D191997-06-26Yes198 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Freddie TiffelsGulls (Ana)RW211995-05-20No201 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Frederic AllardGulls (Ana)D191997-12-27Yes179 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Frederik GauthierGulls (Ana)C211995-04-26No214 Lbs6 ft5NoNoNo1Contrat d'EntréePro & Farm863,000$0$0$No
Gabriel CarlssonGulls (Ana)D201997-01-02Yes183 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Guillaume BriseboisGulls (Ana)D191997-07-21Yes190 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Hunter SmithGulls (Ana)RW211995-09-11No208 Lbs6 ft7NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$No
J.T. BrownGulls (Ana)C/LW/RW261990-07-02No172 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
JC LiponGulls (Ana)RW231993-07-10No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Jared McCannGulls (Ana)C/LW201996-05-31No179 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm1,107,000$0$0$No
Jason AkesonGulls (Ana)RW261990-06-03No190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Jean-Christophe BeaudinGulls (Ana)C191997-03-25Yes185 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Jeremy LauzonGulls (Ana)D191997-04-28Yes205 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Jeremy MorinGulls (Ana)LW/RW251991-04-16No189 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Jesse GabrielleGulls (Ana)LW191997-06-17Yes205 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No
Jonas JohanssonGulls (Ana)G211995-09-19No205 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No
Jordan BinningtonGulls (Ana)G231993-07-11No167 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Joseph LaBateGulls (Ana)C/LW231993-04-16No190 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No
Justin FalkGulls (Ana)D281988-10-11No215 Lbs6 ft5NoNoNo3Sans RestrictionPro & Farm500,000$0$0$No
Kris NewburyGulls (Ana)C/LW341982-02-19No205 Lbs5 ft11NoNoNo4Sans RestrictionPro & Farm300,000$0$0$No
Laurent DauphinGulls (Ana)C/LW211995-03-26No180 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm894,000$0$0$No
Lias AnderssonGulls (Ana)C181998-10-13Yes198 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm0$0$No
Mark AltGulls (Ana)D251991-10-18No201 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Marko DanoGulls (Ana)LW/RW221994-11-29No183 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm900,000$0$0$No
Martin FrkGulls (Ana)LW/RW231993-10-04No194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No
Mason GeertsenGulls (Ana)D211995-04-19No205 Lbs6 ft4NoNoNo1Contrat d'EntréePro & Farm675,000$0$0$No
Matt GreeneGulls (Ana)D331983-05-12Yes234 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No
Michael Dal ColleGulls (Ana)LW201996-06-20No198 Lbs6 ft3NoNoNo3Contrat d'EntréePro & Farm900,000$0$0$No
Michael SgarbossaGulls (Ana)C241992-07-25No185 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Nathan GerbeGulls (Ana)LW291987-07-23No176 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Patrice CormierGulls (Ana)C/LW261990-06-13No215 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Paul CareyGulls (Ana)C/LW/RW281988-09-25No190 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Paul LadueGulls (Ana)D241992-09-06No186 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Samuel LabergeGulls (Ana)LW191997-04-10Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Sean MaguireGulls (Ana)G231993-02-02Yes203 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No
Sergey ZborovskiyGulls (Ana)D191997-02-21Yes194 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No
Shane PrinceGulls (Ana)LW/RW241992-11-15No190 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm500,000$0$0$No
Spencer AbbottGulls (Ana)LW281988-04-29Yes170 Lbs5 ft9NoNoNo3Sans RestrictionPro & Farm300,000$0$0$No
Taylor ChorneyGulls (Ana)D291987-04-26No190 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No
Tony CameranesiGulls (Ana)C231993-08-11Yes162 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No
Viktor StalbergGulls (Ana)RW301986-01-16No209 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm428,482$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
5823.74196 Lbs6 ft12.55456,595$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin FrkJ.T. Brown40122
2Shane PrincePaul CareyMarko Dano30122
3Samuel LabergeAndreas Martinsen20122
4Michael Dal ColleLias AnderssonMartin Frk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk40122
2Paul LadueEthan Bear30122
3Taylor ChorneyDillon Heatherington20122
4Gabriel Carlsson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Martin FrkJ.T. Brown60122
2Shane PrincePaul CareyMarko Dano40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
2Paul LadueEthan Bear40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Martin Frk60122
2J.T. BrownPaul Carey40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
2Paul LadueEthan Bear40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Justin Falk60122
2Martin Frk40122Paul LadueEthan Bear40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Martin Frk60122
2J.T. BrownPaul Carey40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin Falk60122
2Paul LadueEthan Bear40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkJ.T. BrownJustin Falk
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Martin FrkJ.T. BrownJustin Falk
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Cal O'Reilly, Frederik Gauthier, Andreas MartinsenCal O'Reilly, Frederik GauthierAndreas Martinsen
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Taylor Chorney, Dillon Heatherington, Gabriel CarlssonTaylor ChorneyDillon Heatherington, Gabriel Carlsson
Tirs de Pénalité
, Martin Frk, J.T. Brown, Paul Carey, Shane Prince
Gardien
#1 : Jordan Binnington, #2 : Sean Maguire


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
1Penguins523000001618-22110000087131200000811-340.400163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531
Total523000001618-22110000087131200000811-340.400163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531
_Since Last GM Reset523000001618-22110000087131200000811-340.400163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531
_Vs Conference523000001618-22110000087131200000811-340.400163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531
_Vs Division523000001618-22110000087131200000811-340.400163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
54OTL1163147112133287611100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52300001618
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000087
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000811
Derniers 10 Matchs
WLOTWOTL SOWSOL
121100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
361130.56%371072.97%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
313137136361
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
5415135.76%7918442.93%308037.50%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
12184138416531


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 - 2019-04-061Gulls1Penguins4LSommaire du Match
3 - 2019-04-089Gulls4Penguins3WXSommaire du Match
5 - 2019-04-1017Penguins6Gulls4LSommaire du Match
7 - 2019-04-1225Penguins1Gulls4WSommaire du Match
9 - 2019-04-1433Gulls3Penguins4LXSommaire du Match
11 - 2019-04-1641Penguins-Gulls-
13 - 2019-04-1849Gulls-Penguins-



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
32 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 264,825$ 200,648$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 4 0$ 0$




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
13523000001618-22110000087131200000811-34163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531
Total Séries523000001618-22110000087131200000811-34163147006361112313137131332876111361130.56%371072.97%05415135.76%7918442.93%308037.50%12184138416531