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Wolf Pack

GP: 53 | W: 25 | L: 23 | OTL: 5 | P: 55
GF: 219 | GA: 176 | PP%: 27.59% | PK%: 73.60%
DG: Renaud Meunier | Morale : 50 | Moyenne d'Équipe : 61
Prochain matchs #803 vs Wild
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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 SPÂgeContratSalaire
1Cal O'Reilly (C)X100.00584282637287856168655658638474050630331650,000$
2Connor BunnamanX100.00634387607978775856575961586362050610212790,000$
3David KaseXXX100.00573983626679766054595861596564045610222850,000$
4Garrett PilonX100.00584382607288905968585761596362050610212894,166$
5Glenn GawdinXX100.00625185597686885874625860596563049610221925,000$
6Emile PoirierXX100.00644983588079785653555559587166050600241650,000$
7Igor ShvyrevX100.00634587547785825669525458566362050590212925,000$
8Jonathan DavidssonX100.00583982597066675853575760596563050590222850,000$
9Hunter ShinkarukXXX100.00514289566779835452535557567166050580241650,000$
10Justin Schultz (A)X100.005942906779867265307358615078660506502915,500,000$
11Tyler WotherspoonX100.00684889598287895830575356457367050610262700,000$
12Joe HickettsX100.00554588636485746230615765536763050610232700,000$
13Chris BreenX100.00845376559976765330545161457971050610301650,000$
14Logan Stanley (A)X100.008463765599858656305453624563620506102121,075,833$
15Guillaume BriseboisX100.00594389597577725830575660526563050600221888,333$
16Jeremy RoyX100.00604687587381855630555357466562050590221863,333$
17Jesper LindgrenX100.00534183586775745730565254516563050580222925,000$
Rayé
MOYENNE D'ÉQUIPE100.0062468559768180584658555954696505061
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
1Anthony Stolarz100.0078716995777678777678777175050680
2Ville Husso100.0074848284737274737274736973050650
Rayé
1Kirill Ustimenko100.0065545281646365646365646165050590
MOYENNE D'ÉQUIPE100.007270688771707271707271677105064
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'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Justin SchultzWolf Pack (NYR)D4912536510140579912337879.76%87117824.048111964121000097000.00%000001.1000000231
2Cal O'ReillyWolf Pack (NYR)C4927356213140140205279702289.68%15126525.82511165411500021224258.00%143800110.9814000443
3Connor BunnamanWolf Pack (NYR)C5328315915160891272157717413.02%1797818.46281029861014302149.80%124300001.2101000534
4Emile PoirierWolf Pack (NYR)LW/RW532426509595130652137714811.27%1698018.50551032101000044050.63%7900021.0200001333
5Joe HickettsWolf Pack (NYR)D4984149420168812430836.45%7099520.3138115388101390000.00%000000.9800000013
6Garrett PilonWolf Pack (NYR)C532022425160751531815412611.05%1383415.7424613200001202055.69%113300001.0100000023
7Jonathan DavidssonWolf Pack (NYR)RW492216381016064771644611113.41%1077615.852359160000303050.68%7300020.9801000102
8Tyler WotherspoonWolf Pack (NYR)D5343337944101515311332803.54%71124023.4027947120011191100.00%000000.6000010002
9David KaseWolf Pack (NYR)C/LW/RW2616173328204558138347911.59%654921.1332519470000252048.84%4300001.2001000331
10Logan StanleyWolf Pack (NYR)D49624302260101684149232812.24%4877715.861121322000018000.00%000000.7700020030
11Glenn GawdinWolf Pack (NYR)C/RW29131629111355056114326311.40%1051717.8624620610002223053.99%16300011.1211100102
12Guillaume BriseboisWolf Pack (NYR)D5342428174020445015358.00%5080415.1800000000140110.00%000000.7000000010
13Hunter ShinkarukWolf Pack (NYR)C/LW/RW5312152710003150112248010.71%1077014.5300000000000059.09%6600000.7000000002
14Dillon HeatheringtonRangersD196202629175441759163310.17%3442922.620441945000036300.00%000001.2100001100
15Chris BreenWolf Pack (NYR)D53719266500197418922597.87%7099018.695274280000155010.00%000000.5200000010
16Igor ShvyrevWolf Pack (NYR)C53912216120596774206712.16%1553410.0900000000001053.61%42900000.7900000021
17Jesper LindgrenWolf Pack (NYR)D121344007642325.00%6957.920000000000000.00%000000.8400000000
18Jeremy RoyWolf Pack (NYR)D121234207551720.00%11978.170000000001100.00%000000.6100000000
19Jesper BoqvistRangersC/LW/RW3112-1001110135117.69%27424.88011030000140020.00%500000.5400000000
Stats d'équipe Total ou en Moyenne77022141063121134135136112622119617150210.43%5611388918.0440711114149352131570227554.37%467200160.9128132202627
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
1Anthony StolarzWolf Pack (NYR)49231940.9133.1228092214616750210.69213490623
2Ville HussoWolf Pack (NYR)92410.9073.7639900252680410.0000453000
Stats d'équipe Total ou en Moyenne58252350.9123.2032092217119430620.692135353623


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 Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Anthony StolarzWolf Pack (NYR)G251994-01-20No230 Lbs6 ft5NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Cal O'ReillyWolf Pack (NYR)C331986-09-30No188 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Chris BreenWolf Pack (NYR)D301989-06-29No226 Lbs6 ft7NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Connor BunnamanWolf Pack (NYR)C211998-04-16No207 Lbs6 ft1NoNoNo2Pro & Farm790,000$0$0$No790,000$Lien / Lien NHL
David KaseWolf Pack (NYR)C/LW/RW221997-01-28No169 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Emile PoirierWolf Pack (NYR)LW/RW241994-12-14No196 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Garrett PilonWolf Pack (NYR)C211998-04-13No188 Lbs6 ft0NoNoNo2Pro & Farm894,166$0$0$No894,166$Lien / Lien NHL
Glenn GawdinWolf Pack (NYR)C/RW221997-03-25No191 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Guillaume BriseboisWolf Pack (NYR)D221997-07-21No175 Lbs6 ft2NoNoNo1Pro & Farm888,333$0$0$NoLien / Lien NHL
Hunter ShinkarukWolf Pack (NYR)C/LW/RW241994-10-13No181 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Igor ShvyrevWolf Pack (NYR)C211998-07-10No200 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Jeremy RoyWolf Pack (NYR)D221997-05-14No195 Lbs6 ft0NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Jesper LindgrenWolf Pack (NYR)D221997-05-19No165 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Joe HickettsWolf Pack (NYR)D231996-05-04No180 Lbs5 ft8NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Jonathan DavidssonWolf Pack (NYR)RW221997-03-12No185 Lbs5 ft11NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien
Justin SchultzWolf Pack (NYR)D291990-07-06No193 Lbs6 ft2NoNoNo1Pro & Farm5,500,000$0$0$NoLien / Lien NHL
Kirill UstimenkoWolf Pack (NYR)G201999-01-29No187 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Logan StanleyWolf Pack (NYR)D211998-05-26No228 Lbs6 ft7NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien / Lien NHL
Tyler WotherspoonWolf Pack (NYR)D261993-03-12No207 Lbs6 ft2NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Ville HussoWolf Pack (NYR)G241995-02-06No205 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2023.70195 Lbs6 ft11.601,043,083$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David KaseCal O'ReillyGlenn Gawdin30122
2Emile PoirierGarrett PilonJonathan Davidsson30122
3Hunter ShinkarukConnor BunnamanIgor Shvyrev25122
4Cal O'ReillyIgor ShvyrevDavid Kase15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin SchultzLogan Stanley30122
2Tyler WotherspoonJoe Hicketts30122
3Chris BreenGuillaume Brisebois25122
4Jeremy RoyJesper Lindgren15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1David KaseCal O'ReillyGlenn Gawdin60122
2Emile PoirierGarrett PilonJonathan Davidsson40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin SchultzLogan Stanley60122
2Tyler WotherspoonJoe Hicketts40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyDavid Kase60122
2Garrett PilonGlenn Gawdin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin SchultzLogan Stanley60122
2Tyler WotherspoonJoe Hicketts40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Cal O'Reilly60122Justin SchultzLogan Stanley60122
2David Kase40122Tyler WotherspoonJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyDavid Kase60122
2Garrett PilonGlenn Gawdin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Justin SchultzLogan Stanley60122
2Tyler WotherspoonJoe Hicketts40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David KaseCal O'ReillyGlenn GawdinJustin SchultzLogan Stanley
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
David KaseCal O'ReillyGlenn GawdinJustin SchultzLogan Stanley
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Connor Bunnaman, Hunter Shinkaruk, Emile PoirierConnor Bunnaman, Hunter ShinkarukEmile Poirier
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chris Breen, Guillaume Brisebois, Jeremy RoyChris BreenGuillaume Brisebois, Jeremy Roy
Tirs de Pénalité
Cal O'Reilly, David Kase, Garrett Pilon, Glenn Gawdin, Connor Bunnaman
Gardien
#1 : Anthony Stolarz, #2 : Ville Husso


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
1Admirals11000000642000000000001100000064221.00061218008659696556776896994023102282150.00%000.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
2Americans21001000954110000004131000100054141.000917260086596968767768969940552010556350.00%5340.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
3Barracuda11000000422110000004220000000000021.000461000865969628677689699403512423400.00%2150.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
4Bears3210000013103110000005322110000087140.66713243700865969612867768969940922633636233.33%11372.73%01096198055.35%1008196051.43%47691052.31%13559761195360662339
5Bruins2020000058-32020000058-30000000000000.0005611108659696756776896994060176391317.69%30100.00%11096198055.35%1008196051.43%47691052.31%13559761195360662339
6Checkers2020000046-21010000034-11010000012-100.0004711008659696666776896994076231247100.00%6183.33%01096198055.35%1008196051.43%47691052.31%13559761195360662339
7Comets220000002212111000000131121100000090941.0002242640186596961266776896994044124513133.33%10100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
8Condors2200000018612110000009271100000094541.0001835530086596961176776896994053138612150.00%4175.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
9Crunch2020000069-31010000023-11010000046-200.000691500865969649677689699401143922624125.00%90100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
10Devils20200000210-820200000210-80000000000000.00024600865969670677689699407718848500.00%4250.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
11Eagles11000000312110000003120000000000021.00035800865969642677689699403334234125.00%20100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
12Griffins20100001712-51010000037-41000000145-110.2507121900865969671677689699401013314395240.00%7442.86%01096198055.35%1008196051.43%47691052.31%13559761195360662339
13Gulls1010000025-3000000000001010000025-300.000246008659696206776896994055161027300.00%5340.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
14Heat10000010321100000103210000000000021.0003470086596967167768969940501010204125.00%5180.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
15IceHogs1010000012-11010000012-10000000000000.00012300865969621677689699403113020100.00%000.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
16Marlies4200010114122210000019812100010054160.75014274100865969615167768969940129473510415426.67%10460.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
17Monsters1000010034-1000000000001000010034-110.500336008659696306776896994038122216350.00%110.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
18Moose2110000011651010000045-11100000071620.5001121320086596969167768969940692134637342.86%50100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
19Penguins22000000174131100000010191100000073441.0001734510086596961006776896994079168633133.33%40100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
20Phantoms301010011013-31000100032120100001711-430.5001018280086596961426776896994011019128112325.00%50100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
21Reign20200000913-41010000035-21010000068-200.000915241086596963667768969940642610437342.86%3233.33%01096198055.35%1008196051.43%47691052.31%13559761195360662339
22Roadrunners20200000611-51010000035-21010000036-300.00061218008659696686776896994098248564250.00%3166.67%01096198055.35%1008196051.43%47691052.31%13559761195360662339
23Rocket11000000523000000000001100000052321.00059140086596964767768969940468429200.00%20100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
24Senators110000001311200000000000110000001311221.000132134008659696816776896994029963511100.00%20100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
25Sound Tigers1010000023-1000000000001010000023-100.00024600865969635677689699403989202150.00%20100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
26Stars3120000069-32020000037-41100000032120.3336101600865969693677689699401273814687114.29%7185.71%11096198055.35%1008196051.43%47691052.31%13559761195360662339
27Thunderbirds20002000862000000000002000200086241.000813210086596967267768969940841716505360.00%8362.50%01096198055.35%1008196051.43%47691052.31%13559761195360662339
Total53202304213219176432591301011957916281110032021249727550.519219395614228659696209167768969940194553532813341454027.59%1253373.60%21096198055.35%1008196051.43%47691052.31%13559761195360662339
28Wild21100000752000000000002110000075220.50071320008659696576776896994078161541400.00%5260.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
29Wolves2110000034-1110000003031010000004-420.50036901865969662677689699405698547114.29%40100.00%01096198055.35%1008196051.43%47691052.31%13559761195360662339
_Since Last GM Reset53202304213219176432591301011957916281110032021249727550.519219395614228659696209167768969940194553532813341454027.59%1253373.60%21096198055.35%1008196051.43%47691052.31%13559761195360662339
_Vs Conference291111041021309040135601001564115166503101744925330.5691302353651186596961229677689699401034279185747782126.92%721677.78%11096198055.35%1008196051.43%47691052.31%13559761195360662339
_Vs Division144703001515016230100023203824020012830-2150.53651941450086596965716776896994051112284343351028.57%33778.79%01096198055.35%1008196051.43%47691052.31%13559761195360662339

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
5355OTW121939561420911945535328133422
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
5320234213219176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2591310119579
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
281110320212497
Derniers 10 Matchs
WLOTWOTL SOWSOL
541000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1454027.59%1253373.60%2
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
677689699408659696
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
1096198055.35%1008196051.43%47691052.31%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
13559761195360662339


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 - 2020-10-051Bruins5Wolf Pack3LSommaire du Match
2 - 2020-10-067Wolf Pack13Senators1WSommaire du Match
5 - 2020-10-0937Griffins7Wolf Pack3LSommaire du Match
7 - 2020-10-1146Wolf Pack3Monsters4LXSommaire du Match
10 - 2020-10-1467Wolf Pack3Marlies1WSommaire du Match
12 - 2020-10-1682Checkers4Wolf Pack3LSommaire du Match
14 - 2020-10-1894Wolf Pack3Bears5LSommaire du Match
15 - 2020-10-19107Wolf Pack5Thunderbirds4WXSommaire du Match
17 - 2020-10-21123Penguins1Wolf Pack10WSommaire du Match
20 - 2020-10-24140Devils5Wolf Pack0LSommaire du Match
22 - 2020-10-26153Wolf Pack4Wild1WSommaire du Match
23 - 2020-10-27167Wolf Pack5Rocket2WSommaire du Match
25 - 2020-10-29181Americans1Wolf Pack4WSommaire du Match
28 - 2020-11-01201Marlies6Wolf Pack5LXXSommaire du Match
32 - 2020-11-05226Stars5Wolf Pack2LSommaire du Match
33 - 2020-11-06240Wolf Pack2Marlies3LXSommaire du Match
36 - 2020-11-09259Wolf Pack4Crunch6LSommaire du Match
38 - 2020-11-11267Condors2Wolf Pack9WSommaire du Match
40 - 2020-11-13287Stars2Wolf Pack1LSommaire du Match
42 - 2020-11-15303Wolf Pack1Checkers2LSommaire du Match
44 - 2020-11-17316Wolf Pack4Phantoms7LSommaire du Match
46 - 2020-11-19328Wolf Pack7Penguins3WSommaire du Match
47 - 2020-11-20338Wolves0Wolf Pack3WSommaire du Match
49 - 2020-11-22356Wolf Pack9Comets0WSommaire du Match
51 - 2020-11-24370IceHogs2Wolf Pack1LSommaire du Match
54 - 2020-11-27391Wolf Pack2Gulls5LSommaire du Match
55 - 2020-11-28402Reign5Wolf Pack3LSommaire du Match
58 - 2020-12-01421Eagles1Wolf Pack3WSommaire du Match
59 - 2020-12-02437Wolf Pack5Bears2WSommaire du Match
61 - 2020-12-04450Roadrunners5Wolf Pack3LSommaire du Match
64 - 2020-12-07468Wolf Pack9Condors4WSommaire du Match
66 - 2020-12-09480Barracuda2Wolf Pack4WSommaire du Match
68 - 2020-12-11492Wolf Pack4Griffins5LXXSommaire du Match
70 - 2020-12-13512Devils5Wolf Pack2LSommaire du Match
72 - 2020-12-15525Wolf Pack6Reign8LSommaire du Match
74 - 2020-12-17536Wolf Pack3Thunderbirds2WXSommaire du Match
75 - 2020-12-18551Bruins3Wolf Pack2LSommaire du Match
78 - 2020-12-21565Wolf Pack3Phantoms4LXXSommaire du Match
80 - 2020-12-23579Wolf Pack0Wolves4LSommaire du Match
81 - 2020-12-24589Heat2Wolf Pack3WXXSommaire du Match
84 - 2020-12-27611Phantoms2Wolf Pack3WXSommaire du Match
86 - 2020-12-29624Wolf Pack6Admirals4WSommaire du Match
88 - 2020-12-31638Wolf Pack3Wild4LSommaire du Match
89 - 2021-01-01648Marlies2Wolf Pack4WSommaire du Match
92 - 2021-01-04667Wolf Pack2Sound Tigers3LSommaire du Match
93 - 2021-01-05680Crunch3Wolf Pack2LSommaire du Match
96 - 2021-01-08696Wolf Pack7Moose1WSommaire du Match
98 - 2021-01-10708Moose5Wolf Pack4LSommaire du Match
100 - 2021-01-12728Wolf Pack3Roadrunners6LSommaire du Match
102 - 2021-01-14739Comets1Wolf Pack13WSommaire du Match
104 - 2021-01-16757Wolf Pack3Stars2WSommaire du Match
105 - 2021-01-17768Bears3Wolf Pack5WSommaire du Match
110 - 2021-01-22797Wolf Pack5Americans4WXSommaire du Match
111 - 2021-01-23803Wild-Wolf Pack-
114 - 2021-01-26825Wolf Pack-Rampage-
115 - 2021-01-27832Gulls-Wolf Pack-
118 - 2021-01-30851Wolf Pack-IceHogs-
120 - 2021-02-01863Rampage-Wolf Pack-
122 - 2021-02-03878Wolf Pack-Heat-
125 - 2021-02-06895Sound Tigers-Wolf Pack-
128 - 2021-02-09917Wolf Pack-Bruins-
129 - 2021-02-10926Sound Tigers-Wolf Pack-
132 - 2021-02-13946Wolf Pack-Monsters-
134 - 2021-02-15958Crunch-Wolf Pack-
135 - 2021-02-16969Wolf Pack-Devils-
138 - 2021-02-19987Monsters-Wolf Pack-
141 - 2021-02-221014Wolf Pack-Rocket-
142 - 2021-02-231019Penguins-Wolf Pack-
146 - 2021-02-271046Rocket-Wolf Pack-
149 - 2021-03-021069Checkers-Wolf Pack-
150 - 2021-03-031081Wolf Pack-Senators-
153 - 2021-03-061100Senators-Wolf Pack-
155 - 2021-03-081114Wolf Pack-Senators-
157 - 2021-03-101127Wolf Pack-Eagles-
158 - 2021-03-111141Thunderbirds-Wolf Pack-
160 - 2021-03-131156Wolf Pack-Marlies-
162 - 2021-03-151168Admirals-Wolf Pack-
166 - 2021-03-191190Wolf Pack-Barracuda-
168 - 2021-03-211202Griffins-Wolf Pack-
174 - 2021-03-271234Senators-Wolf Pack-
177 - 2021-03-301252Wolf Pack-Marlies-
179 - 2021-04-011261Americans-Wolf Pack-



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
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,256,492$ 2,086,166$ 1,271,166$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,256,492$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 72 11,462$ 825,264$




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
281284002263248283-3541142101221132145-1340141901042116138-2256248428676231056669122184748726685542755847100116913436719.53%4019077.56%71030235443.76%1258284644.20%547132641.25%1798119720506361061512
3823333024552222041841181402241121992241151900214101105-4662223836053881656916249979283584666262080589415963205216.25%3755784.80%31285262848.90%1343283847.32%574122446.90%1948132519776251057522
4824724013342601897141268011321358946412116002021251002594260478738389685757307399696110866323477001429189559710016.75%5659283.72%61932328858.76%1650284857.94%754125660.03%2132146517976311037536
582472003165304199105412410000431621035941231003122142964694304545849381159585183002958947105881201660060719022285725.00%2685081.34%21780298859.57%1251221956.38%776128860.25%2299167216675391018543
6825522011213562161404126130101017010961412990011118610779110356644100003154114854367111941304116622275876564821222003819.00%2784783.09%41982326760.67%1724301857.12%794132959.74%2138153517805651023529
782422801362309214954123110124016499654119170012214511530843095448532811592959337310741145112367300788459623291894121.69%2555080.39%61620312151.91%1514313448.31%681134450.67%2100149318345611035535
88246260034335922613341278002221859194411918001211741353992359662102127152104999373312401230124055251775445320201663018.07%2074379.23%51895316359.91%1580270558.41%795133559.55%230117091671515991530
88246260034335922613341278002221859194411918001211741353992359662102127152104999373312401230124055251775445320201663018.07%2074379.23%51895316359.91%1580270558.41%795133559.55%230117091671515991530
95320230421321917643259130101195791628111003202124972755219395614228659696209167768969940194553532813341454027.59%1253373.60%21096198055.35%1008196051.43%47691052.31%13559761195360662339
Total Saison Régulière708364242014223729263619337033531941060711231213499054443551701360711141712871028259743263647417377195410567847459027359891990679143503224826644640916909235445519.33%268150581.16%40145152595255.93%129082427353.18%61921134754.57%183761308415646495188794581
Séries
41275000003023752300000111107520000019127143055850215591365107103146935899182304961616.67%791383.54%225246154.66%24344254.98%8817051.76%2891882979916081
5514000001318-53120000079-22020000069-321325381007511515451424148404511017211.76%17382.35%010417260.47%7915451.30%398346.99%13194110356533
6844000002229-7422000001016-6422000001213-1822375900694325285906017331847224425520.00%34682.35%012428443.66%15634345.48%5514039.29%1871242166511456
8199100000064613835000002426-21165000004035518641181820026142226982332172408654208130463511121.57%52492.31%039572154.79%35869951.22%16530853.57%451313466140244118
Total Séries44212300000129131-220812000005262-10241311000007769842129235364124735407146647946148838149143142911211893417.99%1822685.71%2875163853.42%836163851.04%34770149.50%10607211091342585289