Reigh

GP: 29 | W: 12 | L: 17 | OTL: 0 | P: 24
GF: 123 | GA: 175 | PP%: 27.97% | PK%: 50.00%
DG: David Langevin | Morale : 47 | Moyenne d'Équipe : 68
Prochain matchs #363 vs Admirals
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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
1Matt NietoX100.005941867766828976625266767363596957700
2Dmitrij JaskinX100.008641827980789174505256666660607158680
3Michael RafflX100.006942777971819872755054727064573557680
4Artturi LehkonenX100.006841867966858174635165676955537056670
5Sammy BlaisX100.005944726377698265525056596550504957600
6Brandon ManningX100.007645766675818375305558767158583657700
7Joakim RyanX100.006141877565769072305154776652514757690
8Yannick WeberX100.006741817269727372304553696866585257670
Rayé
MOYENNE D'ÉQUIPE100.00684281747178867349515870695956545767
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
1Louis Domingue100.00717790858180797980677257645457750
2Eddie Lack100.00697474807270727171676861653553690
Rayé
MOYENNE D'ÉQUIPE100.0070768283777576757667705965455572
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Oates74847875727176can541500,000$


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
1Artturi LehkonenReigh (LA.)LW2920163661351416167459011.98%539413.6010111000002077.78%273312021.8300001431
2Dmitrij JaskinReigh (LA.)RW2982230895231510956797.34%1138613.3201102000001144.00%25349001.5500100233
Stats d'équipe Total ou en Moyenne58283866142210373127610116910.14%1678013.4611213000003161.54%526721021.6900101664
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
Artturi LehkonenReigh (LA.)LW221995-07-04No183 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm839,167$0$0$NoLien
Brandon ManningReigh (LA.)D271990-06-04No205 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm2,250,000$0$0$No2,250,000$Lien
Dmitrij JaskinReigh (LA.)RW241993-03-23No216 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,100,000$0$0$NoLien
Eddie LackReigh (LA.)G291988-01-05No187 Lbs6 ft4NoNoNo1Sans RestrictionPro & Farm750,000$0$0$NoLien
Joakim RyanReigh (LA.)D241993-06-17No185 Lbs5 ft11NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Louis DomingueReigh (LA.)G251992-03-06No210 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm1,150,000$0$0$No1,150,000$Lien
Matt NietoReigh (LA.)LW241992-11-05No190 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm1,975,000$0$0$No1,975,000$Lien
Michael RafflReigh (LA.)LW281988-12-01No200 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm2,350,000$0$0$NoLien
Sammy BlaisReigh (LA.)LW211996-06-17No205 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Yannick WeberReigh (LA.)D291988-09-23No200 Lbs5 ft11NoNoNo1Sans RestrictionPro & Farm850,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1025.30198 Lbs6 ft11.301,276,417$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
2Artturi LehkonenDmitrij Jaskin30122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
2Artturi LehkonenDmitrij Jaskin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
2Dmitrij Jaskin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
2Dmitrij Jaskin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, Artturi Lehkonen, Dmitrij Jaskin, Artturi LehkonenDmitrij Jaskin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , Dmitrij Jaskin, Artturi Lehkonen
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
1Admirals1010000035-21010000035-20000000000000.00036900324149132227269323246176114125.00%3166.67%022347347.15%20247942.17%28564644.12%624383658258456219
2Barracuda422000002425-12110000012120211000001213-140.50024436700324149110922726932329036265817952.94%13746.15%022347347.15%20247942.17%28564644.12%624383658258456219
3Blacknight431000002217532100000151321100000074360.75022436500324149111222726932328228304320630.00%15660.00%022347347.15%20247942.17%28564644.12%624383658258456219
4Bruins11000000211110000002110000000000021.0002460032414912822726932321944115120.00%2150.00%022347347.15%20247942.17%28564644.12%624383658258456219
5Condors40400000738-3120200000516-1120200000222-2000.000714210032414919822726932321534882551317.69%311841.94%022347347.15%20247942.17%28564644.12%624383658258456219
6Devils11000000954110000009540000000000021.0009162500324149142227269323244188143266.67%4325.00%022347347.15%20247942.17%28564644.12%624383658258456219
7Gulls21100000815-71100000065110100000210-820.50081523003241491422272693232742834318337.50%171041.18%022347347.15%20247942.17%28564644.12%624383658258456219
8Heat20101000511-61010000029-71000100032120.5005914003241491512272693232541814318112.50%7357.14%122347347.15%20247942.17%28564644.12%624383658258456219
9Penguins20200000614-81010000037-41010000037-400.000691500324149165227269323276272227800.00%11645.45%022347347.15%20247942.17%28564644.12%624383658258456219
10Phantoms1010000058-3000000000001010000058-300.0005712003241491282272693232371514203133.33%7614.29%022347347.15%20247942.17%28564644.12%624383658258456219
11Rampages20200000917-80000000000020200000917-800.000918270032414915822726932328321233110330.00%9544.44%022347347.15%20247942.17%28564644.12%624383658258456219
12Rocket11000000642110000006420000000000021.000611170032414913222726932322158125120.00%4175.00%122347347.15%20247942.17%28564644.12%624383658258456219
13Thunderbird1010000056-1000000000001010000056-100.00059140032414913122726932323558133133.33%4175.00%122347347.15%20247942.17%28564644.12%624383658258456219
Total29111701000123175-521587000007080-1014310010005395-42240.41412322835100324149182122726932329103023013881183327.97%1386950.00%322347347.15%20247942.17%28564644.12%624383658258456219
15Wolves321000001293110000007342110000056-140.6671224360032414919322726932329632223111327.27%11190.91%022347347.15%20247942.17%28564644.12%624383658258456219
_Since Last GM Reset29111701000123175-521587000007080-1014310010005395-42240.41412322835100324149182122726932329103023013881183327.97%1386950.00%322347347.15%20247942.17%28564644.12%624383658258456219
_Vs Conference228130100090137-471156000005063-131137010004074-34180.409901722620032414915952272693232678228237291912729.67%1065151.89%122347347.15%20247942.17%28564644.12%624383658258456219
_Vs Division16690100066106-40945000004055-15724010002651-25140.438661241900032414914122272693232453158186218662030.30%834446.99%122347347.15%20247942.17%28564644.12%624383658258456219

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2924L212322835182191030230138800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2911171000123175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
158700007080
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1431010005395
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1183327.97%1386950.00%3
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
22726932323241491
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
22347347.15%20247942.17%28564644.12%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
624383658258456219


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
2 - 2018-10-105Reigh2Gulls10LSommaire du Match
5 - 2018-10-1317Blacknight4Reigh6WSommaire du Match
7 - 2018-10-1526Reigh3Heat2WXSommaire du Match
11 - 2018-10-1939Barracuda4Reigh7WSommaire du Match
17 - 2018-10-2555Reigh1Condors9LSommaire du Match
19 - 2018-10-2763Blacknight4Reigh3LSommaire du Match
22 - 2018-10-3081Gulls5Reigh6WSommaire du Match
24 - 2018-11-0188Reigh7Barracuda9LSommaire du Match
27 - 2018-11-04105Condors6Reigh2LSommaire du Match
29 - 2018-11-06115Reigh7Blacknight4WSommaire du Match
31 - 2018-11-08127Heat9Reigh2LSommaire du Match
35 - 2018-11-12148Barracuda8Reigh5LSommaire du Match
38 - 2018-11-15160Reigh5Barracuda4WSommaire du Match
40 - 2018-11-17168Reigh4Rampages5LSommaire du Match
42 - 2018-11-19179Admirals5Reigh3LSommaire du Match
47 - 2018-11-24196Wolves3Reigh7WSommaire du Match
49 - 2018-11-26205Reigh3Penguins7LSommaire du Match
53 - 2018-11-30221Rocket4Reigh6WSommaire du Match
58 - 2018-12-05237Reigh5Rampages12LSommaire du Match
61 - 2018-12-08248Blacknight5Reigh6WSommaire du Match
66 - 2018-12-13264Reigh5Phantoms8LSommaire du Match
68 - 2018-12-15272Bruins1Reigh2WSommaire du Match
70 - 2018-12-17283Reigh1Condors13LSommaire du Match
72 - 2018-12-19295Condors10Reigh3LSommaire du Match
74 - 2018-12-21304Reigh4Wolves2WSommaire du Match
78 - 2018-12-25319Reigh5Thunderbird6LSommaire du Match
79 - 2018-12-26324Devils5Reigh9WSommaire du Match
82 - 2018-12-29340Penguins7Reigh3LSommaire du Match
84 - 2018-12-31349Reigh1Wolves4LSommaire du Match
87 - 2019-01-03363Reigh-Admirals-
89 - 2019-01-05372Bears-Reigh-
93 - 2019-01-09392Phantoms-Reigh-
95 - 2019-01-11399Reigh-Bears-
98 - 2019-01-14414Blacknight-Reigh-
100 - 2019-01-16422Reigh-Gulls-
103 - 2019-01-19434Reigh-Marlies-
106 - 2019-01-22441Reigh-Senateurs-
107 - 2019-01-23448Sound Tigers-Reigh-
111 - 2019-01-27465Heat-Reigh-
114 - 2019-01-30480Reigh-Devils-
116 - 2019-02-01490Wolves-Reigh-
122 - 2019-02-07511Thunderbird-Reigh-
128 - 2019-02-13531Senateurs-Reigh-
130 - 2019-02-15543Reigh-Rocket-
132 - 2019-02-17556Reigh-Sound Tigers-
133 - 2019-02-18561Icedogs-Reigh-
137 - 2019-02-22577Reigh-Heat-
139 - 2019-02-24586Icedogs-Reigh-
141 - 2019-02-26597Reigh-Moose-
144 - 2019-03-01605Barracuda-Reigh-
146 - 2019-03-03615Reigh-Bruins-
149 - 2019-03-06631Reigh-Stars-
150 - 2019-03-07636Crunch-Reigh-
153 - 2019-03-10654Condors-Reigh-
155 - 2019-03-12660Reigh-Condors-
157 - 2019-03-14674Reigh-Thunderbird-
160 - 2019-03-17680Reigh-Monsters-
161 - 2019-03-18687Rampages-Reigh-
164 - 2019-03-21704Bears-Reigh-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24713Reigh-Gulls-
170 - 2019-03-27728Reigh-Moose-
172 - 2019-03-29736Reigh-Rocket-
174 - 2019-03-31740Heat-Reigh-
176 - 2019-04-02746Reigh-Crunch-
181 - 2019-04-07763Moose-Reigh-
185 - 2019-04-11778Reigh-Heat-
186 - 2019-04-12787Monsters-Reigh-
190 - 2019-04-16803Rampages-Reigh-
192 - 2019-04-18813Reigh-Icedogs-
194 - 2019-04-20820Reigh-Stars-
199 - 2019-04-25835Admirals-Reigh-
201 - 2019-04-27847Reigh-Barracuda-
202 - 2019-04-28851Reigh-Admirals-
205 - 2019-05-01862Moose-Reigh-
210 - 2019-05-06884Marlies-Reigh-
214 - 2019-05-10899Reigh-Blacknight-
216 - 2019-05-12908Stars-Reigh-
219 - 2019-05-15922Reigh-Blacknight-
220 - 2019-05-16930Reigh-Icedogs-
222 - 2019-05-18936Gulls-Reigh-
230 - 2019-05-26960Stars-Reigh-
235 - 2019-05-31979Gulls-Reigh-



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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
628,632$ 1,276,417$ 1,276,417$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 451,473$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 7,495$ 1,146,735$




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
229111701000123175-521587000007080-1014310010005395-422412322835100324149182122726932329103023013881183327.97%1386950.00%322347347.15%20247942.17%28564644.12%624383658258456219
Total Saison Régulière29111701000123175-521587000007080-1014310010005395-422412322835100324149182122726932329103023013881183327.97%1386950.00%322347347.15%20247942.17%28564644.12%624383658258456219