beholdershellpepitosKingspatriots

 

 


St Johns

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 8 | GA: 16 | PP%: 13.33% | PK%: 84.62%
DG: Christian Beaudin | Morale : 50 | Moyenne d'Équipe : 77
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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
1John Hayden0X100.00905051448449827342838066644036050800
2Nail Yakupov0XX100.00613566364949697431818565734944050770
3Sonny Milano0X100.00452577324852777229808261694235050750
4Valentin Zykov0X100.00353465497760666031727763654641050730
5Jordan Greenway (R)0X100.00672784628558765731707069643634050720
6Nikita Soshnikov0X100.00833365493849556334788257734435050720
7Kenny Agostino0X100.00593460476257765931707756714438050710
8Damon Severson0X100.00564262456971798623857658685043050850
9Haydn Fleury (R)0X100.00623974487860878128817172634442047820
10Matt Grzelcyk0X100.00492668443060828328837275634439050800
11Mike Reilly0X100.00442365435853848428847257634540050790
12Mirco Mueller0X100.00493776527259707830777072624542050790
13Samuel Morin0X100.00894550587658776931726556654345050740
14Chris Bigras0X100.00503367584750807130736762634344050720
15Dillon Heatherington (R)0X100.00614530618040757031726759644543047710
16Calle Rosen (R)0X100.00332661585446766931726651654538050690
Rayé
MOYENNE D'ÉQUIPE100.0058356449635476723177746266444005076
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
1Jeff Zatkoff100.0081856777818286848569717484018840
2Christopher Gibson100.0081916777838390858666714960050830
3Oscar Dansk (R)100.0081766479828191858567704058047810
Rayé
1Alex Nedeljkovic100.0080825978818088848469714468050810
MOYENNE D'ÉQUIPE100.008184647882828985856871526804182
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'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
1Nail YakupovSt Johns (TIT)LW/RW42242204261733.33%2348.6900000000000050.00%222002.3000000000
2Mike ReillySt Johns (TIT)D4134-340811110139.09%27418.5002251000008000.00%013001.0800000100
3Matt GrzelcykSt Johns (TIT)D4303-3009726121111.54%77518.962021211000010000.00%042000.7900000000
4Haydn FleurySt Johns (TIT)D4112-6001421288173.57%2210225.61000718000011000.00%078000.3900000100
5Chris BigrasSt Johns (TIT)D4022100465330.00%4246.140000000000000.00%000001.6300000000
6Valentin ZykovSt Johns (TIT)LW41010000071214.29%0174.330000000000000.00%131001.1600000000
7Mirco MuellerSt Johns (TIT)D4011000329660.00%3399.780000000001000.00%034000.5100000000
8Samuel MorinSt Johns (TIT)D40000001023520.00%2379.300000000000000.00%011000.0000000000
9Dillon HeatheringtonSt Johns (TIT)D4000100605100.00%6246.140000000000000.00%000000.0000000000
10John HaydenSt Johns (TIT)LW4000-110010320530.00%15714.2500013000000066.67%632000.0000000000
Stats d'équipe Total ou en Moyenne408917-9160684412052646.67%4948612.1722425430000320055.56%92423000.7000000200
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
1Christopher GibsonSt Johns (TIT)40400.9084.02239001617392100.000040010
Stats d'équipe Total ou en Moyenne40400.9084.02239001617392100.000040010


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
Alex NedeljkovicSt Johns (TIT)G221996-01-07No198 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm894,167$0$0$NoLien
Calle RosenSt Johns (TIT)D241994-02-02Yes195 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,775,000$0$0$NoLien
Chris BigrasSt Johns (TIT)D231995-02-22No190 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm843,333$0$0$NoLien / Lien NHL
Christopher GibsonSt Johns (TIT)G251992-12-27No188 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Damon SeversonSt Johns (TIT)D241994-08-07No205 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm888,000$0$0$NoLien / Lien NHL
Dillon HeatheringtonSt Johns (TIT)D231995-05-09Yes215 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Haydn FleurySt Johns (TIT)D221996-07-08Yes221 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,713,333$0$0$NoLien
Jeff ZatkoffSt Johns (TIT)G311987-06-09No186 Lbs188 CMNoNoNo1Sans RestrictionPro & Farm1,080,000$0$0$NoLien / Lien NHL
John HaydenSt Johns (TIT)LW231995-02-14No223 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Jordan GreenwaySt Johns (TIT)LW211997-02-16Yes226 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm1,225,000$0$0$NoLien
Kenny AgostinoSt Johns (TIT)LW261992-04-30No202 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm875,000$0$0$NoLien
Matt GrzelcykSt Johns (TIT)D241994-01-05No174 Lbs175 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Mike ReillySt Johns (TIT)D251993-07-13No195 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Mirco MuellerSt Johns (TIT)D231995-03-21No210 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm850,000$0$0$NoLien / Lien NHL
Nail YakupovSt Johns (TIT)LW/RW241993-10-06No195 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Nikita SoshnikovSt Johns (TIT)RW241993-10-14No185 Lbs180 CMNoNoNo1Avec RestrictionPro & Farm736,667$0$0$NoLien / Lien NHL
Oscar DanskSt Johns (TIT)G241994-02-28Yes195 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Samuel MorinSt Johns (TIT)D231995-07-12No202 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm1,363,333$0$0$NoLien
Sonny MilanoSt Johns (TIT)LW221996-05-12No195 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm1,263,333$0$0$NoLien / Lien NHL
Valentin ZykovSt Johns (TIT)LW231995-05-15No224 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm894,167$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2023.80201 Lbs188 CM1.351,003,817$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2John Hayden30122
3Nail Yakupov20122
4Valentin Zykov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn Fleury40122
2Matt GrzelcykMike Reilly30122
3Mirco MuellerSamuel Morin20122
4Chris BigrasDillon Heatherington10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2John Hayden40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn Fleury60122
2Matt GrzelcykMike Reilly40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2John Hayden40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn Fleury60122
2Matt GrzelcykMike Reilly40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Haydn Fleury60122
240122Matt GrzelcykMike Reilly40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2John Hayden40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Haydn Fleury60122
2Matt GrzelcykMike Reilly40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Haydn Fleury
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Haydn Fleury
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nikita Soshnikov, Jordan Greenway, Kenny AgostinoNikita Soshnikov, Jordan GreenwayKenny Agostino
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Calle Rosen, Mirco Mueller, Samuel MorinCalle RosenMirco Mueller, Samuel Morin
Tirs de Pénalité
, , , John Hayden,
Gardien
#1 : Christopher Gibson, #2 : , #3 : Oscar Dansk


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
1Giants40400000816-82020000037-42020000059-400.00081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023
Total40400000816-82020000037-42020000059-400.00081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023
_Since Last GM Reset40400000816-82020000037-42020000059-400.00081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023
_Vs Conference40400000816-82020000037-42020000059-400.00081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023
_Vs Division40400000816-82020000037-42020000059-400.00081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L48111912917353268400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000816
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000037
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
202000059
Derniers 10 Matchs
WLOTWOTL SOWSOL
040000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
15213.33%13284.62%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
57294303230
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
149015.56%1810317.48%105119.61%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
7447114305023


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 - 2019-04-035St Johns2Giants4LSommaire du Match
2 - 2019-04-0413St Johns3Giants5LSommaire du Match
3 - 2019-04-0521Giants4St Johns1LSommaire du Match
4 - 2019-04-0629Giants3St Johns2LSommaire du Match



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
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,007,633$ 1,228,917$ 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$ 6 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
Saison Régulière
2016841465011122101380-11704273201011113693-580427330010197687-59028210354564215892584221367873979117252396843611182956622.37%1587353.80%4708156845.15%469110042.64%886219240.42%1746110619866461327639
201784244702452218441-22342162101121127194-67428260133191247-156482183585760285656113234982975174751259290264713193025116.89%3056977.38%1593157837.58%615164537.39%440122835.83%1781114120586851254597
201882224801137399302974115180012520413173417300101219517124443996361035111841357683541137211001046652932101251817393457521.74%2446374.18%12572219126.11%451177425.42%374126029.68%2044145318395901094533
Total Saison Régulière250601600469118272123-12961253871022574441018-5741252289024443831105-7221208271348217534327292195258103287925902584133804728821601417694219220.38%70720571.00%171873533735.09%1535451933.97%1700468036.32%557237015884192236751770
Séries
2017734000001821-33120000078-1422000001113-2618304800972019875735002518434722528.00%17570.59%04513633.09%4215127.81%258629.07%14294183539444
201840400000816-82020000037-42020000059-4081119003230129572943017353268415213.33%13284.62%0149015.56%1810317.48%105119.61%7447114305023
Total Séries1138000002637-11514000001015-5624000001622-6626416700129503271321029304241376015640410.00%30776.67%05922626.11%6025423.62%3513725.55%2161422988414567