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Calgary Wranglers
GP: 17 | W: 13 | L: 3 | OTL: 1 | P: 27
GF: 91 | GA: 75 | PP%: 38.10% | PK%: 76.36%
DG: Cedrick Soucy | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #272 vs Belleville Senators

Centre de jeu
Calgary Wranglers
13-3-1, 27pts
4
FINAL
5 Bakersfield Condors
7-8-1, 15pts
Team Stats
W1SéquenceW3
7-1-0Fiche domicile2-5-1
6-2-1Fiche domicile5-3-0
7-3-0Derniers 10 matchs4-5-1
5.35Buts par match 4.25
4.41Buts contre par match 4.50
38.10%Pourcentage en avantage numérique24.49%
76.36%Pourcentage en désavantage numérique82.50%
Abbotsford Canucks
5-7-3, 13pts
5
FINAL
7 Calgary Wranglers
13-3-1, 27pts
Team Stats
L1SéquenceW1
2-3-3Fiche domicile7-1-0
3-4-0Fiche domicile6-2-1
4-4-2Derniers 10 matchs7-3-0
4.00Buts par match 5.35
4.27Buts contre par match 4.41
28.57%Pourcentage en avantage numérique38.10%
65.38%Pourcentage en désavantage numérique76.36%
Calgary Wranglers
13-3-1, 27pts
Jour 40
Belleville Senators
5-9-1, 11pts
Statistiques d’équipe
W1SéquenceW1
7-1-0Fiche domicile3-5-0
6-2-1Fiche visiteur2-4-1
7-3-010 derniers matchs5-4-1
5.35Buts par match 3.53
4.41Buts contre par match 3.53
38.10%Pourcentage en avantage numérique19.51%
76.36%Pourcentage en désavantage numérique65.96%
Milwaukee Admirals
10-5-2, 22pts
Jour 42
Calgary Wranglers
13-3-1, 27pts
Statistiques d’équipe
W1SéquenceW1
6-1-1Fiche domicile7-1-0
4-4-1Fiche visiteur6-2-1
6-3-110 derniers matchs7-3-0
4.00Buts par match 5.35
3.53Buts contre par match 5.35
23.26%Pourcentage en avantage numérique38.10%
74.07%Pourcentage en désavantage numérique76.36%
Springfield Thunderbirds
11-5-0, 22pts
Jour 46
Calgary Wranglers
13-3-1, 27pts
Statistiques d’équipe
W2SéquenceW1
5-3-0Fiche domicile7-1-0
6-2-0Fiche visiteur6-2-1
6-4-010 derniers matchs7-3-0
4.88Buts par match 5.35
3.56Buts contre par match 5.35
34.62%Pourcentage en avantage numérique38.10%
77.55%Pourcentage en désavantage numérique76.36%
Meneurs d'équipe
Buts
Juha Jaaska
17
Passes
Juha Jaaska
14
Points
Juha Jaaska
31
Brendan GauncePlus/Moins
Brendan Gaunce
16
Erik PortilloVictoires
Erik Portillo
10
Erik PortilloPourcentage d’arrêts
Erik Portillo
0.893

Statistiques d’équipe
Buts pour
91
5.35 GFG
Tirs pour
685
40.29 Avg
Pourcentage en avantage numérique
38.1%
16 GF
Début de zone offensive
40.5%
Buts contre
75
4.41 GAA
Tirs contre
618
36.35 Avg
Pourcentage en désavantage numérique
76.4%%
13 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralCedrick Soucy
EntraîneurLéo Dandurand
DivisionPacific Division
ConférenceWestern Conference
CapitaineJeremie Poirier
Assistant #1Egor Sokolov
Assistant #2David Reinbacher


Informations de l’aréna

Capacité9,000
Assistance8,588
Billets de saison8,370


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 60
Espoirs10


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
1Brendan GaunceXX99.00614174627373706466605956627062050630311775,000$
2Juha JaaskaX97.00614369677471596349625962635150050620272775,000$
3Filip BystedtX99.00634166626561596142605760605050050600212918,333$
4Oscar EklindXX100.00624166596564635942605459575250050590271800,000$
5Alexis GendronX100.00604366656360586142545853615050050580211860,000$
6Eduard SaleX100.00614168626158565942595559585050050580202918,333$
7Jeremie Poirier (C)X100.00604665666565636440635566615150050630231775,000$
8Carson LambosX100.00624564656563626340585664615050050620221863,333$
9Cade WebberX100.00644264606763625840545464575150050600242825,000$
Rayé
1Jakub LaukoXXX100.008269717580807670496665707059500506902500$
2Adam KlapkaX72.637856636787726668486364676655500506602521,250,000$
3Egor Sokolov (A)X100.006143696172686765446362536353500506202500$
4Mathias LaferriereX100.005842726561666460425953575953500505902500$
5Michael KarowX100.006347636566686662405653676054500506202600$
6David Reinbacher (A)X62.87654169656555515640525466585050050600212918,333$
7Tyson FeistX100.006441626268615853405151635552500505902400$
8Zack HayesX100.006043585765616055405152615552500505802600$
MOYENNE D’ÉQUIPE95.8264456664686562614458576260535105061
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 SPÂgeContratSalaire
1Erik Portillo100.0069636573696971686968605250050630252783,333$
Rayé
1Eetu Makiniemi100.00695957636363646164635254500505802600$
2Isak Posch100.00595757665957565457585451500505402300$
MOYENNE D’ÉQUIPE100.006660606764636461636355525005058
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Léo Dandurand1111111CAN9951$


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
1Juha JaaskaCalgary Wranglers (CGY)LW1717143115120181882223520.73%735721.042686300002404158.97%3900011.7311000244
2Adam KlapkaCalgary Wranglers (CGY)RW1061420880372239113615.38%419319.341676190000281149.11%11200002.0711000321
3Brendan GaunceCalgary Wranglers (CGY)C/RW17713201600204748142914.58%435620.953259300001391061.61%44800001.1201000211
4Filip BystedtCalgary Wranglers (CGY)C178122094023375292715.38%230618.050554290002451045.43%38300001.3000000202
5David ReinbacherCalgary Wranglers (CGY)D114131786021132141219.05%1320018.274261018000132000%000001.6900000201
6Eduard SaleCalgary Wranglers (CGY)LW17512171060172944152911.36%428616.841128300000160151.85%2700001.1900000110
7Alexis GendronCalgary Wranglers (CGY)RW1751015900241646121710.87%226415.57044529000032055.00%2000001.1300000011
8Jeremie PoirierCalgary Wranglers (CGY)D172131516033143512155.71%3134620.371341325000034000%000000.8700000100
9Carson LambosCalgary Wranglers (CGY)D174711320031241572026.67%1734420.254041023000032000%000000.6400000100
Statistiques d’équipe totales ou en moyenne140581081667962022422038210622015.18%84265618.971629457123600062739353.74%102900011.252300014910
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
1Erik PortilloCalgary Wranglers (CGY)1110010.8933.8866500434030000.6673110011
Statistiques d’équipe totales ou en moyenne1110010.8933.8866500434030003110011


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam Klapka (sur la masse salariale)Calgary Wranglers (CGY)RW252000-09-14CZENo235 Lbs6 ft8NoNoAssign ManuallyNoNo22025-06-29FalseFalsePro & Farm1,250,000$981,638$0$0$Yes1,250,000$--------1,250,000$--------No--------Lien NHL
Alexis GendronCalgary Wranglers (CGY)RW212003-12-30CANNo187 Lbs5 ft10NoNoAssign ManuallyNoNo12025-05-26FalseFalsePro & Farm860,000$675,367$0$0$No---------------------------Lien NHL
Brendan GaunceCalgary Wranglers (CGY)C/RW311994-03-25CANNo216 Lbs6 ft2NoNoFantasy DraftNoNo12025-05-26FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Cade WebberCalgary Wranglers (CGY)D242001-01-05USANo212 Lbs6 ft7NoNoFantasy DraftNoNo22025-06-29FalseFalsePro & Farm825,000$647,881$0$0$No825,000$--------825,000$--------No--------
Carson LambosCalgary Wranglers (CGY)D222003-01-17CANNo196 Lbs6 ft1NoNoTrade2025-09-29NoNo12025-05-26FalseFalsePro & Farm863,333$677,985$0$0$No---------------------------Lien NHL
David Reinbacher (sur la masse salariale)Calgary Wranglers (CGY)D212004-10-25ASTNo185 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm918,333$721,177$0$0$Yes918,333$--------918,333$--------No--------Lien NHL
Eduard SaleCalgary Wranglers (CGY)LW202005-03-10CZENo174 Lbs6 ft2NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm918,333$721,177$0$0$No918,333$--------918,333$--------No--------
Eetu MakiniemiCalgary Wranglers (CGY)G261999-04-19FINNo183 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Egor SokolovCalgary Wranglers (CGY)LW252000-06-07RUSNo223 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Erik PortilloCalgary Wranglers (CGY)G252000-09-03SWENo218 Lbs6 ft6NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm783,333$615,160$0$0$No783,333$--------783,333$--------No--------Lien NHL
Filip BystedtCalgary Wranglers (CGY)C212004-02-04SWENo205 Lbs6 ft4NoNoAssign ManuallyNoNo22025-05-26FalseFalsePro & Farm918,333$721,177$0$0$No918,333$--------918,333$--------No--------Lien NHL
Isak PoschCalgary Wranglers (CGY)G232002-01-31SWENo209 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Jakub LaukoCalgary Wranglers (CGY)C/LW/RW252000-03-28CZENo193 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Jeremie PoirierCalgary Wranglers (CGY)D232002-06-02CANNo196 Lbs6 ft1NoNoAssign ManuallyNoNo12025-07-22FalseFalsePro & Farm775,000$608,616$0$0$No---------------------------Lien NHL
Juha JaaskaCalgary Wranglers (CGY)LW271998-02-09FINNo210 Lbs6 ft0NoNoFantasy DraftNoNo22025-06-29FalseFalsePro & Farm775,000$608,616$0$0$No775,000$--------775,000$--------No--------
Mathias LaferriereCalgary Wranglers (CGY)RW252000-06-27CANNo174 Lbs6 ft1NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Michael KarowCalgary Wranglers (CGY)D261998-12-18USANo201 Lbs6 ft2NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Oscar EklindCalgary Wranglers (CGY)C/LW271998-07-14SWENo209 Lbs6 ft4NoNoFantasy DraftNoNo12025-06-29FalseFalsePro & Farm800,000$628,249$0$0$No---------------------------
Tyson FeistCalgary Wranglers (CGY)D242001-01-14CANNo207 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------Lien NHL
Zack HayesCalgary Wranglers (CGY)D261999-04-24CANNo218 Lbs6 ft3NoNoFantasy DraftNoNo02025-07-22FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2024.35203 Lbs6 ft30.95523,083$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juha JaaskaBrendan Gaunce30122
2Eduard SaleFilip BystedtAlexis Gendron30122
325122
4Juha JaaskaBrendan Gaunce15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremie PoirierCarson Lambos30122
230122
325122
4Jeremie PoirierCarson Lambos15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Juha JaaskaBrendan Gaunce50122
2Eduard SaleFilip BystedtAlexis Gendron50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremie PoirierCarson Lambos50122
250122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juha Jaaska50122
2Brendan GaunceFilip Bystedt50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremie PoirierCarson Lambos50122
250122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Jeremie PoirierCarson Lambos50122
2Juha Jaaska5012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juha Jaaska50122
2Brendan GaunceFilip Bystedt50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremie PoirierCarson Lambos50122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juha JaaskaBrendan GaunceJeremie PoirierCarson Lambos
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Juha JaaskaBrendan GaunceJeremie PoirierCarson Lambos
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Eduard Sale, Alexis Gendron, Filip BystedtEduard Sale, Alexis GendronFilip Bystedt
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Jeremie Poirier, Carson LambosJeremie Poirier, Carson Lambos
Tirs de pénalité
, Juha Jaaska, Brendan Gaunce, Filip Bystedt, Eduard Sale
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Juha Jaaska, Brendan Gaunce, Filip Bystedt, Eduard Sale, Alexis Gendron, , , ,
Lignes de défense personnalisées en prolongation
Jeremie Poirier, Carson Lambos, , ,


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
TotalDomicileVisiteur
# 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
1Abbotsford Canucks2200000013942200000013940000000000041.000132336003930212842372212237722216546233.33%8362.50%033662154.11%31459253.04%16032050.00%381266428120215103
2Bakersfield Condors312000001617-11010000068-221100000109120.3331631470039302121242372212237941826636116.67%12558.33%033662154.11%31459253.04%16032050.00%381266428120215103
3Chicago Wolves10000010431000000000001000001043121.0004610003930212302372212237469183111100.00%9188.89%033662154.11%31459253.04%16032050.00%381266428120215103
4Hartford Wolf Pack1010000009-9000000000001010000009-900.000000003930212312372212237408226200.00%220.00%033662154.11%31459253.04%16032050.00%381266428120215103
5Henderson Silver Knights11000000431000000000001100000043121.0004812003930212412372212237301642633100.00%20100.00%033662154.11%31459253.04%16032050.00%381266428120215103
6Iowa Wild11000000743110000007430000000000021.00071421003930212262372212237295821100.00%4250.00%033662154.11%31459253.04%16032050.00%381266428120215103
7Milwaukee Admirals11000000523110000005230000000000021.0005101500393021236237221223740126213133.33%30100.00%033662154.11%31459253.04%16032050.00%381266428120215103
8Ontario Reign1000010078-1000000000001000010078-110.5007121900393021251237221223753142352150.00%10100.00%033662154.11%31459253.04%16032050.00%381266428120215103
9Rockford IceHogs11000000541110000005410000000000021.0005914003930212482372212237406421000%20100.00%033662154.11%31459253.04%16032050.00%381266428120215103
10San Diego Gulls220000001055110000005321100000052341.000101929003930212832372212237551510299333.33%40100.00%033662154.11%31459253.04%16032050.00%381266428120215103
11San Jose Barracuda220000001257110000006331100000062441.00012223400393021284237221223768246536233.33%30100.00%033662154.11%31459253.04%16032050.00%381266428120215103
12Texas Stars11000000862000000000001100000086221.0008142200393021247237221223751810213266.67%50100.00%033662154.11%31459253.04%16032050.00%381266428120215103
Total1712300110917516871000004733149520011044422270.794911682590039302126852372212237618157112401421638.10%551376.36%033662154.11%31459253.04%16032050.00%381266428120215103
_Since Last GM Reset1712300110917516871000004733149520011044422270.794911682590039302126852372212237618157112401421638.10%551376.36%033662154.11%31459253.04%16032050.00%381266428120215103
_Vs Conference16122001109166258710000047331485100110443311270.844911682590039302126542372212237578149110375401640.00%531179.25%033662154.11%31459253.04%16032050.00%381266428120215103
_Vs Division11820010062471554100000302376410010032248170.77362115177003930212467237221223737210964260321237.50%30873.33%033662154.11%31459253.04%16032050.00%381266428120215103

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1727W19116825968561815711240100
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1712301109175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
87100004733
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95201104442
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
421638.10%551376.36%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
23722122373930212
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
33662154.11%31459253.04%16032050.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
381266428120215103


Derniers matchs 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
15Calgary Wranglers4Chicago Wolves3WXXSommaire du match
320San Diego Gulls3Calgary Wranglers5WSommaire du match
533Calgary Wranglers6Bakersfield Condors4WSommaire du match
954Milwaukee Admirals2Calgary Wranglers5WSommaire du match
1163Calgary Wranglers5San Diego Gulls2WSommaire du match
1379Iowa Wild4Calgary Wranglers7WSommaire du match
1698Calgary Wranglers7Ontario Reign8LXSommaire du match
18107Calgary Wranglers8Texas Stars6WSommaire du match
20125Abbotsford Canucks4Calgary Wranglers6WSommaire du match
22135Calgary Wranglers4Henderson Silver Knights3WSommaire du match
24153Rockford IceHogs4Calgary Wranglers5WSommaire du match
27170Calgary Wranglers6San Jose Barracuda2WSommaire du match
29186San Jose Barracuda3Calgary Wranglers6WSommaire du match
31205Calgary Wranglers0Hartford Wolf Pack9LSommaire du match
33218Bakersfield Condors8Calgary Wranglers6LSommaire du match
36238Calgary Wranglers4Bakersfield Condors5LSommaire du match
37249Abbotsford Canucks5Calgary Wranglers7WSommaire du match
40272Calgary Wranglers-Belleville Senators-
42282Milwaukee Admirals-Calgary Wranglers-
46306Springfield Thunderbirds-Calgary Wranglers-
48318Calgary Wranglers-Colorado Eagles-
50332Calgary Wranglers-Abbotsford Canucks-
52346Wilkes-Barre Penguins-Calgary Wranglers-
54361Calgary Wranglers-Hartford Wolf Pack-
56372Calgary Wranglers-Laval Rocket-
58380Ontario Reign-Calgary Wranglers-
61402Calgary Wranglers-San Jose Barracuda-
63412Henderson Silver Knights-Calgary Wranglers-
65427Calgary Wranglers-Providence Bruins-
67441Iowa Wild-Calgary Wranglers-
70459Calgary Wranglers-Coachella Valley Firebirds-
72475Hershey Bears-Calgary Wranglers-
74488Calgary Wranglers-Texas Stars-
78506Calgary Wranglers-San Diego Gulls-
79512Texas Stars-Calgary Wranglers-
82530Calgary Wranglers-Charlotte Checkers-
83541Utica Comets-Calgary Wranglers-
86556Calgary Wranglers-Chicago Wolves-
88572Calgary Wranglers-Cleveland Monsters-
89576Colorado Eagles-Calgary Wranglers-
93602Calgary Wranglers-Rockford IceHogs-
94607Syracuse Crunch-Calgary Wranglers-
97627Calgary Wranglers-Milwaukee Admirals-
99638Calgary Wranglers-Tucson Roadrunners-
100641Ontario Reign-Calgary Wranglers-
103668Henderson Silver Knights-Calgary Wranglers-
106679Calgary Wranglers-Lehigh Valley Phantoms-
109702Chicago Wolves-Calgary Wranglers-
110712Calgary Wranglers-Abbotsford Canucks-
113731Calgary Wranglers-Bridgeport Islanders-
114736Coachella Valley Firebirds-Calgary Wranglers-
119768Tucson Roadrunners-Calgary Wranglers-
121784Calgary Wranglers-Coachella Valley Firebirds-
122794Toronto Marlies-Calgary Wranglers-
126816Calgary Wranglers-Iowa Wild-
128829San Jose Barracuda-Calgary Wranglers-
130841Calgary Wranglers-Henderson Silver Knights-
133858Calgary Wranglers-Ontario Reign-
134866Manitoba Moose-Calgary Wranglers-
137892Calgary Wranglers-Rochester Americans-
138896Coachella Valley Firebirds-Calgary Wranglers-
144928Bakersfield Condors-Calgary Wranglers-
148957Tucson Roadrunners-Calgary Wranglers-
149966Calgary Wranglers-Manitoba Moose-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153987Colorado Eagles-Calgary Wranglers-
1551001Calgary Wranglers-Toronto Marlies-
1591024Manitoba Moose-Calgary Wranglers-
1641054Rockford IceHogs-Calgary Wranglers-
1701086San Diego Gulls-Calgary Wranglers-
1741110Grand Rapids Griffins-Calgary Wranglers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité60003000
Prix des billets5025
Assistance45,37723,328
Assistance PCT94.54%97.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
27 8588 - 95.42% 427,808$3,422,460$9000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
206,962$ 829,332$ 829,332$ 1$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 206,962$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
11,550,802$ 139 4,685$ 651,215$




Calgary Wranglers Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Calgary Wranglers Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Calgary Wranglers Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Calgary Wranglers Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Calgary Wranglers Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA