Condors

GP: 4 | W: 0 | L: 4 | OTL: 0 | P: 0
GF: 6 | GA: 16 | PP%: 11.54% | PK%: 86.21%
DG: Jonathan Legault | Morale : 47 | Moyenne d'Équipe : N/A
Prochain matchs #94 vs Gulls
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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
1C.J. Smith (R)X100.0073558073666669605060625555677115100
2Matheson Iacopelli (R)X100.0080558055796069585055585555505015100
3Jake DowellX100.0060555860767069555055555555606114800
4Mitchell Stephens (R)X100.0056555555555555555055555555505015100
5Ryan Gropp (R)X100.0056555555555555555055555555505015100
6Alex Schoenborn (R)X100.0073556162787167555055555655747514800
7Adam Gilmour (R)X100.0056555555585960555055555555505014800
8Seth GriffithXXX100.0082557573686373705061626255505015100
9Andrei MarkovX100.0055555560555555552555555555879215100
10Martin MarincinX100.0061556275817483612560606255797415100
11Jacob MacDonald (R)X100.0060556461746565602560605555535314800
12Parker Wotherspoon (R)X100.0055555560555577552555555555555515100
13Petter GranbergX100.0055555560555557552555555555535314900
14Mitchell Vande Sompel (R)X100.0055555560555555552555555555555515100
15Trevor CarrickX100.0055555560555567552555555555535314800
Rayé
1Bryan BickellX100.0056555555575858555055555555757514600
2Carter BancksX100.0067556562676272555055555555737514600
3Jake CheliosX100.0059555960595970592559595955535314600
MOYENNE D'ÉQUIPE100.006255616164616557395657565560611490
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
1Steve Michalek100.006969657971716967707055686615100
2Evan Cowley (R)100.005555555555555555555555505515100
Rayé
1John Muse100.006269666667676764676655646514600
2Jeff Zatkoff100.005468577064645989586355737014600
MOYENNE D'ÉQUIPE100.00606561686464636963645564641490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dan Bylsma63756277815976USA475100,000$


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
1Alex SchoenbornCondors (Edm)RW4123-240131511479.09%17218.0512382000000000.00%400000.8300000000
2Jacob MacDonaldCondors (Edm)D4033-224018711690.00%98521.4602281900008000.00%000000.7000000000
3Adam GilmourCondors (Edm)LW4112-16079124108.33%2379.450000000000000.00%200001.0600000000
4Trevor CarrickCondors (Edm)D4112-3805531433.33%45614.0900000000012000.00%000000.7100000000
5Jake DowellCondors (Edm)C4101-680126213214.76%37518.770001019000000014.29%700000.2700000000
6Petter GranbergCondors (Edm)D4101-415574133127.69%77218.181011217000010000.00%000000.2800001000
Stats d'équipe Total ou en Moyenne245712-1865562467121637.04%2640016.672463877000032007.69%1300000.6000001000
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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 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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adam GilmourCondors (Edm)LW221994-01-29Yes192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Alex SchoenbornCondors (Edm)RW211995-12-12Yes196 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Andrei MarkovCondors (Edm)D381978-12-19No197 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm800,000$0$0$No
Bryan BickellCondors (Edm)RW301986-03-09No223 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm300,000$0$0$No
C.J. SmithCondors (Edm)LW221994-12-01Yes181 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Carter BancksCondors (Edm)LW271989-08-09No181 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Evan CowleyCondors (Edm)G211995-07-31Yes201 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Jacob MacDonaldCondors (Edm)D231993-02-26Yes201 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Jake CheliosCondors (Edm)D251991-03-08No188 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Jake DowellCondors (Edm)C311985-03-04No200 Lbs6 ft0NoNoNo2Sans RestrictionPro & Farm500,000$0$0$No500,000$
Jeff ZatkoffCondors (Edm)G291987-06-09No179 Lbs6 ft2NoNoNo4Sans RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
John MuseCondors (Edm)G281988-08-01No185 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Martin MarincinCondors (Edm)D241992-02-17No203 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$
Matheson IacopelliCondors (Edm)C221994-05-15Yes207 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Mitchell StephensCondors (Edm)C191997-02-05Yes196 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Mitchell Vande SompelCondors (Edm)D191997-02-11Yes190 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Parker WotherspoonCondors (Edm)D191997-08-24Yes172 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Petter GranbergCondors (Edm)D241992-08-26No200 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Ryan GroppCondors (Edm)LW201996-09-16Yes194 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Seth GriffithCondors (Edm)C/LW/RW241993-01-03No192 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Steve MichalekCondors (Edm)G231993-08-05No197 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Trevor CarrickCondors (Edm)D221994-07-03No186 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm300,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2224.23194 Lbs6 ft12.82404,545$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake Dowell40122
2Alex Schoenborn30122
3Adam Gilmour20122
4Alex SchoenbornJake Dowell10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald40122
2Petter Granberg30122
3Trevor Carrick20122
4Jacob MacDonald10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jake Dowell60122
2Alex Schoenborn40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Jacob MacDonald60122
240122Petter Granberg40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob MacDonald60122
2Petter Granberg40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonald
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jake DowellJacob MacDonald
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Adam Gilmour, Adam Gilmour
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Trevor Carrick, Trevor Carrick,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Barracuda2020000039-61010000004-41010000035-200.000347003300322935150651537331317.69%15286.67%0309531.58%2712122.31%115918.64%7652118304419
2Heat1010000025-31010000025-30000000000000.000235003300232935150371114169222.22%7271.43%0309531.58%2712122.31%115918.64%7652118304419
3Roadrunners1010000012-11010000012-10000000000000.0001120033002429351502491620400.00%70100.00%0309531.58%2712122.31%115918.64%7652118304419
Total40400000616-1030300000311-81010000035-200.000681400330079293515012635676926311.54%29486.21%0309531.58%2712122.31%115918.64%7652118304419
_Since Last GM Reset40400000616-1030300000311-81010000035-200.000681400330079293515012635676926311.54%29486.21%0309531.58%2712122.31%115918.64%7652118304419
_Vs Conference1010000025-31010000025-30000000000000.000235003300232935150371114169222.22%7271.43%0309531.58%2712122.31%115918.64%7652118304419

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
40L468147912635676900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
4040000616
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3030000311
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
101000035
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
26311.54%29486.21%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
29351503300
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
309531.58%2712122.31%115918.64%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
7652118304419


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
3 - 2018-09-078Heat5Condors2LSommaire du Match
4 - 2018-09-0822Barracuda4Condors0LSommaire du Match
8 - 2018-09-1231Condors3Barracuda5LSommaire du Match
11 - 2018-09-1557Roadrunners2Condors1LSommaire du Match
18 - 2018-09-2294Condors-Gulls-
25 - 2018-09-29129Heat-Condors-
29 - 2018-10-03138Condors-Heat-
32 - 2018-10-06166Stars-Condors-
33 - 2018-10-07171Rampage-Condors-
37 - 2018-10-11179Condors-Wild-
39 - 2018-10-13202Condors-Wild-
45 - 2018-10-19233Condors-Gulls-
46 - 2018-10-20248Eagles-Condors-
49 - 2018-10-23256Eagles-Condors-
52 - 2018-10-26275Condors-Reign-
53 - 2018-10-27289Roadrunners-Condors-
58 - 2018-11-01307Reign-Condors-
60 - 2018-11-03331Moose-Condors-
64 - 2018-11-07347Moose-Condors-
67 - 2018-11-10376Barracuda-Condors-
68 - 2018-11-11380Condors-Barracuda-
73 - 2018-11-16400Gulls-Condors-
74 - 2018-11-17413Condors-Heat-
78 - 2018-11-21433Condors-Heat-
80 - 2018-11-23446Condors-Eagles-
81 - 2018-11-24463Condors-Eagles-
86 - 2018-11-29475Condors-Gulls-
88 - 2018-12-01498Gulls-Condors-
90 - 2018-12-03510Condors-Reign-
92 - 2018-12-05517Gulls-Condors-
94 - 2018-12-07528Eagles-Condors-
95 - 2018-12-08544Roadrunners-Condors-
99 - 2018-12-12557Condors-Stars-
101 - 2018-12-14572Condors-Eagles-
102 - 2018-12-15587Condors-Eagles-
106 - 2018-12-19603Heat-Condors-
108 - 2018-12-21615Heat-Condors-
109 - 2018-12-22630Condors-Gulls-
111 - 2018-12-24643Condors-Barracuda-
113 - 2018-12-26652Eagles-Condors-
115 - 2018-12-28666Condors-Roadrunners-
116 - 2018-12-29669Condors-Roadrunners-
122 - 2019-01-04694Wild-Condors-
123 - 2019-01-05708Condors-Reign-
129 - 2019-01-11732Barracuda-Condors-
130 - 2019-01-12747Gulls-Condors-
134 - 2019-01-16768Heat-Condors-
136 - 2019-01-18778Condors-Reign-
137 - 2019-01-19792Reign-Condors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
144 - 2019-01-26838Condors-Roadrunners-
146 - 2019-01-28846Condors-Roadrunners-
150 - 2019-02-01865Wild-Condors-
151 - 2019-02-02881Barracuda-Condors-
155 - 2019-02-06895Condors-Barracuda-
157 - 2019-02-08909Condors-Heat-
158 - 2019-02-09920Condors-Barracuda-
162 - 2019-02-13942Gulls-Condors-
165 - 2019-02-16966Reign-Condors-
171 - 2019-02-22993Condors-Reign-
176 - 2019-02-271025Reign-Condors-
178 - 2019-03-011036Condors-Gulls-
179 - 2019-03-021051Barracuda-Condors-
182 - 2019-03-051061Condors-Moose-
183 - 2019-03-061068Condors-Moose-
186 - 2019-03-091096Condors-Rampage-
190 - 2019-03-131111Roadrunners-Condors-
193 - 2019-03-161140Reign-Condors-
194 - 2019-03-171150Condors-Heat-



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
31 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
12,662$ 89,000$ 46,880$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 5,967$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 974$ 176,294$




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
1340400000616-1030300000311-81010000035-20681400330079293515012635676926311.54%29486.21%0309531.58%2712122.31%115918.64%7652118304419
Total Saison Régulière40400000616-1030300000311-81010000035-20681400330079293515012635676926311.54%29486.21%0309531.58%2712122.31%115918.64%7652118304419
Séries
12624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
12624000001622-631200000811-331200000811-341629452062711354938462158488610330516.67%34585.29%06616440.24%6015738.22%319931.31%12986164467435
Total Séries1248000003244-12624000001622-6624000001622-6832589040124142270987692431696172206601016.67%681085.29%013232840.24%12031438.22%6219831.31%2581723289314970