Connexion

Calgary Wranglers
GP: 72 | W: 39 | L: 19 | OTL: 14 | P: 92
GF: 208 | GA: 176 | PP%: 35.33% | PK%: 67.92%
DG: Göran Nilsson | Morale : 52 | Moyenne d’équipe : 59
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Centre de jeu
Bridgeport Islanders
30-28-14, 74pts
3
FINAL
2 Calgary Wranglers
39-19-14, 92pts
Team Stats
W1SéquenceW1
14-12-10Fiche domicile19-11-6
16-16-4Fiche domicile20-8-8
3-6-1Derniers 10 matchs5-2-3
2.19Buts par match 2.89
2.68Buts contre par match 2.44
31.90%Pourcentage en avantage numérique35.33%
70.11%Pourcentage en désavantage numérique67.92%
Calgary Wranglers
39-19-14, 92pts
3
FINAL
0 Bakersfield Condors
36-26-10, 82pts
Team Stats
W1SéquenceL1
19-11-6Fiche domicile17-13-6
20-8-8Fiche domicile19-13-4
5-2-3Derniers 10 matchs4-5-1
2.89Buts par match 2.47
2.44Buts contre par match 2.40
35.33%Pourcentage en avantage numérique37.41%
67.92%Pourcentage en désavantage numérique67.95%
Meneurs d'équipe
Buts
Denis Malgin
33
Passes
Elmer Soderblom
44
Points
Denis Malgin
69
Samuel FagemoPlus/Moins
Samuel Fagemo
28
Dustin WolfVictoires
Dustin Wolf
39
Dustin WolfPourcentage d’arrêts
Dustin Wolf
0.926

Statistiques d’équipe
Buts pour
208
2.89 GFG
Tirs pour
2407
33.43 Avg
Pourcentage en avantage numérique
35.3%
53 GF
Début de zone offensive
38.2%
Buts contre
176
2.44 GAA
Tirs contre
2189
30.40 Avg
Pourcentage en désavantage numérique
67.9%%
51 GA
Début de la zone défensive
36.6%
Informations de l'équipe

Directeur généralGöran Nilsson
EntraîneurRyan Huska
DivisionPacific Division
ConférenceWestern Conference
CapitaineWayne Simmonds
Assistant #1
Assistant #2Derrick Pouliot


Informations de l’aréna

Capacité3,000
Assistance2,472
Billets de saison300


Informations de la formation

Équipe Pro36
Équipe Mineure18
Limite contact 54 / 60
Espoirs24


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
1Elmer Soderblom (R)0XX100.0076468973966264733167786525484866806602231,097,916$
2Denis Malgin0XX100.007642957862577469366577652568686681650261801,000$
3Tyler Pitlick0XX100.008345937775566763436763682569696280650321937,500$
4Nils Aman (R)0X100.0068429367706385586764587425555561736102321,104,687$
5Seth Griffith0XXX100.007467856167818566816661645752526281610302953,125$
6Samuel Fagemo (R)0XX100.007770947373778258504766656448486276610231795,000$
7Luke Philp0X100.007265866466778065806068636647476381610281750,000$
8Olle Lycksell (R)0X100.0071609668636970645064616058474761816002411,046,875$
9Justin Kirkland0XX100.007873876373676960505561635849496074600271750,000$
10Byron Froese0XX100.007369786269747860785956645363635871600322762,500$
11Fredrik Olofsson (R)0X100.007644976773567463365955642548486017590271937,500$
12Wayne Simmonds (C)0XX100.0091992571734863552659565761889155835903511,125,000$
13Emil Heineman (R)0X100.007369836872524961504772617047476278590223897,500$
14Oliver Kylington0X100.0063419684683535732570656925686758736202622,500,000$
15Derrick Pouliot (A)0X100.007071627771636561255747664166665380620291750,000$
16Joel Hanley0X100.007466817270585661254949732564655479610321752,000$
17Jeremie Poirier (R)0X100.007472777075808656255148614447475479610213823,333$
18Ilya Solovyov (R)0X100.0079778367807076482538416339474749805902321,035,416$
Rayé
1Linus Karlsson (R)0X100.006866726466757863795963616044446420580242883,750$
2Glenn Gawdin0X100.007169776469747861765662625945456420580262762,500$
3Mathias Emilio Pettersen (R)0XX100.006963836463737663796062615944446420580231903,333$
4Samuel Helenius (R)0X100.007779736679555750634945624344445420560213850,833$
5Martin Pospisil (R)0XX100.006869676369555559505658605544446020560241750,000$
6Max Veronneau0X100.007871956771444352505345634345455420550281750,000$
7Andrei Bakanov (R)0X100.008279896579495144503844634244445220540211937,500$
8Jacob Moverare0X100.007673836974687351254840623946465435580252762,500$
9Yan Kuznetsov (R)0X100.008078856778555749254141633944445419570212870,000$
10Dillon Heatherington0X100.007881706381697547253741623945455320570282762,500$
11Colton Poolman0X100.007972955872727947253940623844445320560281750,000$
12Emil Andrae (R)0X100.006862826562585958254953605044445820550211750,000$
13Calle Sjalin (R)0X100.007166836466586149253448594644445420530242855,000$
MOYENNE D’ÉQUIPE100.00756682687263685845545663455252585259
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
1Dustin Wolf (R)0100.00705468577374737980753047476583680222813,333$
2Oscar Dansk (R)0100.00524455815552535854543044445380550291800,000$
Rayé
1Oskari Salminen (R)0100.005157718349535056515130444452205402421,068,750$
2Maxime Lagace (R)0100.00495265754749505449493044445020510301750,000$
3Jon Gillies0100.00464860894445505346473047474820510291800,000$
MOYENNE D’ÉQUIPE100.0054516477545555605655304545544556
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Huska70704070995050CAN491500,000$


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’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
1Denis MalginCalgary Wranglers (CGY)LW/RW72333669862501091042539116813.04%38141919.711215271910310181076332.14%1409036130.97312541772
2Elmer SoderblomCalgary Wranglers (CGY)C/LW72254469262410122882296414410.92%39132518.403172089603311065134.99%5235423011.04111011395
3Tyler PitlickCalgary Wranglers (CGY)C/RW72214465630301031201965811710.71%29134718.71717242110411241053142.98%16385331200.97112312355
4Seth GriffithCalgary Wranglers (CGY)C/LW/RW7216244013142909688172571009.30%22111415.47581313890001101257.08%4662527000.72125310006
5Oliver KylingtonCalgary Wranglers (CGY)D6282634-72115418318691844.30%73140222.6368141987000273020%06961000.4800210122
6Derrick PouliotCalgary Wranglers (CGY)D726263219221165126918430407.14%70151721.08461011100112194200%01740000.42008619100
7Nils AmanCalgary Wranglers (CGY)C721417311016109810117157908.19%20107914.991124190000132151.27%6672423000.5702020132
8Joel HanleyCalgary Wranglers (CGY)D7242226-21661301191098834384.55%120174624.262575970110103000%02762100.30008315003
9Wayne SimmondsCalgary Wranglers (CGY)LW/RW72141024-1162133516070121407111.57%21114415.906399901013725138.78%492719000.4235241429001
10Samuel FagemoCalgary Wranglers (CGY)LW/RW72101424288555946610740839.35%20103614.401233430000250052.08%482319000.4611263011
11Olle LycksellCalgary Wranglers (CGY)RW7211122353030795514934837.38%1281211.2800026000003052.17%233519000.5700411021
12Luke PhilpCalgary Wranglers (CGY)C727152218403010510614742744.76%28112715.6700000000003056.84%4243121000.3902231123
13Justin KirklandCalgary Wranglers (CGY)C/LW72118199101751066812035749.17%1296513.41000070001213034.21%382717000.3911348104
14Byron FroeseCalgary Wranglers (CGY)C/RW7291019-5107751195914233566.34%1698313.67134650000000055.26%382817000.3900366103
15Jeremie PoirierCalgary Wranglers (CGY)D72410141516011094815722267.02%46135618.843258620001109000%01051000.21004612110
16Ilya SolovyovCalgary Wranglers (CGY)D722101224786095724521314.44%53132418.40202255000057100%0644000.1800453011
17Emil HeinemanCalgary Wranglers (CGY)LW72751265430714065183010.77%126579.1300009000001241.18%136174000.3722123011
18Fredrik OlofssonCalgary Wranglers (CGY)LW353586171528343915277.69%739311.2400003000091034.78%2376000.4100030012
19Jacob MoverareCalgary Wranglers (CGY)D420441271554235331580%3571817.1200000000020000%0413000.1100155000
20Yan KuznetsovCalgary Wranglers (CGY)D500001010553220%711322.6400008000010000%01000000101000
Statistiques d’équipe totales ou en moyenne12962053425471802056138018121475240779913468.52%6802158716.6653871401301037461022943361345.93%4213575533440.5113508076120203542
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
1Dustin WolfCalgary Wranglers (CGY)713917140.9262.1943092415721311093340.583487111462
2Oscar DanskCalgary Wranglers (CGY)20200.8894.567900654290000171000
Statistiques d’équipe totales ou en moyenne733919140.9252.2343892416321851122344872721462


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 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 Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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
Andrei BakanovCalgary Wranglers (CGY)LW212002-12-31Yes214 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Byron FroeseCalgary Wranglers (CGY)C/RW321991-12-31No190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Calle SjalinCalgary Wranglers (CGY)D241999-12-31Yes176 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm855,000$0$0$No855,000$--------No--------Lien
Colton PoolmanCalgary Wranglers (CGY)D281995-12-31No195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Denis MalginCalgary Wranglers (CGY)LW/RW261997-12-31No177 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm801,000$0$0$No------------------Lien
Derrick PouliotCalgary Wranglers (CGY)D291994-12-31No196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Dillon HeatheringtonCalgary Wranglers (CGY)D281995-12-31No215 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Dustin WolfCalgary Wranglers (CGY)G222001-12-31Yes155 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm813,333$0$0$No813,333$--------No--------Lien / Lien NHL
Elmer SoderblomCalgary Wranglers (CGY)C/LW222001-12-31Yes246 Lbs6 ft8NoNoN/ANoNo3FalseFalsePro & Farm1,097,916$0$0$No1,097,916$1,097,916$-------NoNo-------Lien
Emil AndraeCalgary Wranglers (CGY)D212002-12-31Yes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------
Emil HeinemanCalgary Wranglers (CGY)LW222001-12-31Yes185 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm897,500$0$0$No897,500$897,500$-------NoNo-------
Fredrik OlofssonCalgary Wranglers (CGY)LW271996-12-31Yes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien
Glenn GawdinCalgary Wranglers (CGY)C261997-12-31No185 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Ilya SolovyovCalgary Wranglers (CGY)D232000-12-31Yes208 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,035,416$0$0$No1,035,416$--------No--------Lien / Lien NHL
Jacob MoverareCalgary Wranglers (CGY)D251998-12-31No198 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Jeremie PoirierCalgary Wranglers (CGY)D212002-12-31Yes196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm823,333$0$0$No823,333$823,333$-------NoNo-------
Joel HanleyCalgary Wranglers (CGY)D321991-12-31No190 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm752,000$0$0$No------------------Lien / Lien NHL
Jon GilliesCalgary Wranglers (CGY)G291994-12-31No216 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien / Lien NHL
Justin KirklandCalgary Wranglers (CGY)C/LW271996-12-31No193 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Linus KarlssonCalgary Wranglers (CGY)C241999-12-31Yes178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm883,750$0$0$No883,750$--------No--------
Luke PhilpCalgary Wranglers (CGY)C281995-12-31No180 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Martin PospisilCalgary Wranglers (CGY)C/RW241999-12-31Yes181 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien / Lien NHL
Mathias Emilio PettersenCalgary Wranglers (CGY)C/LW232000-12-31Yes175 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm903,333$0$0$No------------------Lien / Lien NHL
Max VeronneauCalgary Wranglers (CGY)RW281995-12-31No193 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Maxime LagaceCalgary Wranglers (CGY)G301993-12-31Yes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No------------------Lien
Nils AmanCalgary Wranglers (CGY)C232000-12-31Yes179 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,104,687$0$0$No1,104,687$--------No--------Lien
Oliver KylingtonCalgary Wranglers (CGY)D261997-12-31 04:32:38No183 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm2,500,000$0$0$No2,500,000$--------No--------
Olle LycksellCalgary Wranglers (CGY)RW241999-12-31Yes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm1,046,875$0$0$No------------------Lien
Oscar DanskCalgary Wranglers (CGY)G291994-12-31Yes204 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------Lien
Oskari SalminenCalgary Wranglers (CGY)G241999-12-31Yes201 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,068,750$0$0$No1,068,750$--------No--------Lien
Samuel FagemoCalgary Wranglers (CGY)LW/RW232000-12-31Yes190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm795,000$0$0$No------------------Lien / Lien NHL
Samuel HeleniusCalgary Wranglers (CGY)C212002-12-31Yes201 Lbs6 ft6NoNoN/ANoNo3FalseFalsePro & Farm850,833$0$0$No850,833$850,833$-------NoNo-------Lien / Lien NHL
Seth GriffithCalgary Wranglers (CGY)C/LW/RW301993-12-31No191 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm953,125$0$0$No953,125$--------No--------Lien / Lien NHL
Tyler PitlickCalgary Wranglers (CGY)C/RW321991-12-31No200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm937,500$0$0$No------------------Lien / Lien NHL
Wayne SimmondsCalgary Wranglers (CGY)LW/RW351988-12-31No185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,125,000$0$0$No------------------Lien / Lien NHL
Yan KuznetsovCalgary Wranglers (CGY)D212002-12-31Yes209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm870,000$0$0$No870,000$--------No--------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3625.83192 Lbs6 ft11.58906,649$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis MalginTyler PitlickWayne Simmonds30122
2Samuel FagemoElmer SoderblomSeth Griffith27122
3Justin KirklandNils AmanByron Froese23122
4Fredrik OlofssonLuke PhilpOlle Lycksell20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonJoel Hanley30122
2Jeremie PoirierDerrick Pouliot27122
3Ilya SolovyovLuke Philp23122
4Derrick PouliotJoel Hanley20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Denis MalginTyler PitlickWayne Simmonds50122
2Samuel FagemoElmer SoderblomSeth Griffith50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derrick PouliotJoel Hanley50122
2Oliver KylingtonIlya Solovyov50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickDenis Malgin50122
2Elmer SoderblomWayne Simmonds50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Derrick PouliotJoel Hanley50122
2Jeremie PoirierIlya Solovyov50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Pitlick50122Derrick PouliotJoel Hanley50122
2Denis Malgin50122Jeremie PoirierIlya Solovyov50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Tyler PitlickDenis Malgin50122
2Elmer SoderblomWayne Simmonds50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Oliver KylingtonJoel Hanley50122
2Jeremie PoirierDerrick Pouliot50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis MalginTyler PitlickWayne SimmondsDerrick PouliotJoel Hanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Denis MalginTyler PitlickWayne SimmondsDerrick PouliotJoel Hanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Emil Heineman, Nils Aman, Justin KirklandEmil Heineman, Nils AmanJustin Kirkland
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oliver Kylington, Jeremie Poirier, Ilya SolovyovOliver KylingtonJeremie Poirier, Ilya Solovyov
Tirs de pénalité
Tyler Pitlick, Denis Malgin, Elmer Soderblom, Wayne Simmonds, Nils Aman
Gardien
#1 : Dustin Wolf, #2 : Oscar Dansk


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
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 Canucks210000016421000000123-11100000041330.750681400359176166974983980366751866554250.00%30100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
2Bakersfield Condors321000009631010000024-22200000072540.6679142301359176161107498398036694255578600.00%5260.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
3Belleville Senators21000010523110000002021000001032141.00057120135917616647498398036646176255400.00%10100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
4Bridgeport Islanders210000017521000000123-11100000052330.7507111800359176166974983980366612046407342.86%3166.67%0718158845.21%737152448.36%480104745.85%154584214246911425700
5Charlotte Checkers22000000734110000003121100000042241.0007132000359176166574983980366441520663266.67%5260.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
6Chicago Wolves21000001431110000003121000000112-130.75048120035917616677498398036639125660100.00%3166.67%0718158845.21%737152448.36%480104745.85%154584214246911425700
7Cleveland Monsters210000017611000000134-11100000042230.750711180035917616627498398036673254453133.33%20100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
8Coachella Valley Firebirds21000001752110000004131000000134-130.75071320003591761670749839803666322133707342.86%4175.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
9Colorado Eagles320000101275210000106421100000063361.0001220320035917616997498398036673181376412433.33%6350.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
10Grand Rapids Griffins2110000045-11010000013-21100000032120.50044810359176167774983980366401438652150.00%4325.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
11Hartford Wolf Pack211000009901010000046-21100000053220.500917260035917616727498398036662252847100.00%440.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
12Henderson Silver Knights3000020169-32000010146-21000010023-130.500610160035917616126749839803661023264596233.33%7185.71%0718158845.21%737152448.36%480104745.85%154584214246911425700
13Hershey Bears22000000633110000002111100000042241.0006101600359176166174983980366981290394250.00%50100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
14Iowa Wild31000011871100000103212100000155050.83381119003591761610274983980366106296668600.00%30100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
15Laval Rocket321000001183211000007611100000042240.6671119301035917616103749839803668316112719333.33%6266.67%0718158845.21%737152448.36%480104745.85%154584214246911425700
16Lehigh Valley Phantoms2020000069-31010000024-21010000045-100.0006101600359176167074983980366813380293133.33%10640.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
17Manitoba Moose2110000056-1110000003121010000025-320.500581300359176165874983980366683643455120.00%4175.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
18Milwaukee Admirals20001001440100010003211000000112-130.750471100359176166774983980366611859435120.00%7185.71%0718158845.21%737152448.36%480104745.85%154584214246911425700
19Ontario Reign330000001358110000004132200000094561.000132134003591761610574983980366963239917457.14%7185.71%0718158845.21%737152448.36%480104745.85%154584214246911425700
20Providence Bruins2010010035-21010000012-11000010023-110.2503470035917616657498398036649927396350.00%110.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
21Rochester Americans2020000058-31010000035-21010000023-100.000591410359176166974983980366662272454250.00%6266.67%0718158845.21%737152448.36%480104745.85%154584214246911425700
22Rockford IceHogs2020000047-31010000024-21010000023-100.00048120035917616647498398036664208049100.00%10460.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
23San Diego Gulls421010001495211000005412100100095460.75014223600359176161167498398036613148881018450.00%9455.56%0718158845.21%737152448.36%480104745.85%154584214246911425700
24San Jose Barracuda31200000810-22110000045-11010000045-120.333812200035917616111749839803669429108807228.57%9455.56%1718158845.21%737152448.36%480104745.85%154584214246911425700
25Springfield Thunderbirds21000100523110000004041000010012-130.750591401359176166074983980366461480569222.22%50100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
26Syracuse Crunch21000100651110000005321000010012-130.750612180035917616537498398036659228958000%7185.71%1718158845.21%737152448.36%480104745.85%154584214246911425700
27Texas Stars210000013301000000112-11100000021130.75035800359176165474983980366501580574125.00%5180.00%1718158845.21%737152448.36%480104745.85%154584214246911425700
28Toronto Marlies21001000633110000002021000100043141.00068140135917616797498398036658204855000%4175.00%1718158845.21%737152448.36%480104745.85%154584214246911425700
29Tucson Roadrunners30300000611-51010000023-12020000048-400.0006101610359176168274983980366992780705360.00%5180.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
30Utica Comets22000000725110000002111100000051441.0007132000359176166874983980366451236497571.43%30100.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
31Wilkes-Barre Scranton Penguins21100000550110000003121010000024-220.500581300359176167074983980366632372634125.00%6350.00%0718158845.21%737152448.36%480104745.85%154584214246911425700
Total72331903539208176323616110112594831136178024141149321920.63920834255044359176162407749839803662189680205818121505335.33%1595167.92%4718158845.21%737152448.36%480104745.85%154584214246911425700
_Since Last GM Reset72331903539208176323616110112594831136178024141149321920.63920834255044359176162407749839803662189680205818121505335.33%1595167.92%4718158845.21%737152448.36%480104745.85%154584214246911425700
_Vs Conference3916110222610797101976011224743420950110460546480.6151071732802135917616130874983980366118037711261000822631.71%882868.18%2718158845.21%737152448.36%480104745.85%154584214246911425700
_Vs Division19107012114747094400111241861063011002329-6270.7114778125113591761658674983980366567177625452471225.53%451175.56%1718158845.21%737152448.36%480104745.85%154584214246911425700

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7292W1208342550240721896802058181244
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7233193539208176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
36161111259483
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36178241411493
Derniers 10 matchs
WLOTWOTL SOWSOL
520102
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1505335.33%1595167.92%4
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
7498398036635917616
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
718158845.21%737152448.36%480104745.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
154584214246911425700


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
212Laval Rocket1Calgary Wranglers4WSommaire du match
536Colorado Eagles3Calgary Wranglers4WXXSommaire du match
757Calgary Wranglers5San Diego Gulls2WSommaire du match
863Calgary Wranglers3Iowa Wild2WSommaire du match
1079San Jose Barracuda2Calgary Wranglers3WSommaire du match
12100Calgary Wranglers2Rockford IceHogs3LSommaire du match
14112Henderson Silver Knights3Calgary Wranglers2LXSommaire du match
16120Calgary Wranglers2Tucson Roadrunners4LSommaire du match
18133Calgary Wranglers4Ontario Reign2WSommaire du match
20153San Diego Gulls1Calgary Wranglers3WSommaire du match
22168Tucson Roadrunners3Calgary Wranglers2LSommaire du match
24182Calgary Wranglers4Cleveland Monsters2WSommaire du match
26202Calgary Wranglers2Iowa Wild3LXXSommaire du match
28213Charlotte Checkers1Calgary Wranglers3WSommaire du match
30229Calgary Wranglers3Coachella Valley Firebirds4LXXSommaire du match
31244Utica Comets1Calgary Wranglers2WSommaire du match
33259Calgary Wranglers5Ontario Reign2WSommaire du match
36279Toronto Marlies0Calgary Wranglers2WSommaire du match
37290Calgary Wranglers4San Diego Gulls3WXSommaire du match
39306Bakersfield Condors4Calgary Wranglers2LSommaire du match
42329Iowa Wild2Calgary Wranglers3WXXSommaire du match
43341Calgary Wranglers3Belleville Senators2WXXSommaire du match
45352Calgary Wranglers1Chicago Wolves2LXXSommaire du match
47372Coachella Valley Firebirds1Calgary Wranglers4WSommaire du match
50390Calgary Wranglers2Wilkes-Barre Scranton Penguins4LSommaire du match
51406Chicago Wolves1Calgary Wranglers3WSommaire du match
54428Colorado Eagles1Calgary Wranglers2WSommaire du match
56446Calgary Wranglers4Abbotsford Canucks1WSommaire du match
58458Rochester Americans5Calgary Wranglers3LSommaire du match
60475Calgary Wranglers5Hartford Wolf Pack3WSommaire du match
62492Calgary Wranglers1Syracuse Crunch2LXSommaire du match
64501Wilkes-Barre Scranton Penguins1Calgary Wranglers3WSommaire du match
66519Calgary Wranglers5Utica Comets1WSommaire du match
68533Belleville Senators0Calgary Wranglers2WSommaire du match
70555Springfield Thunderbirds0Calgary Wranglers4WSommaire du match
71564Calgary Wranglers2Manitoba Moose5LSommaire du match
74585Lehigh Valley Phantoms4Calgary Wranglers2LSommaire du match
76598Calgary Wranglers5Bridgeport Islanders2WSommaire du match
78619Grand Rapids Griffins3Calgary Wranglers1LSommaire du match
80629Calgary Wranglers4Toronto Marlies3WXSommaire du match
81643Calgary Wranglers2Henderson Silver Knights3LXSommaire du match
83658Calgary Wranglers4Lehigh Valley Phantoms5LSommaire du match
84669Rockford IceHogs4Calgary Wranglers2LSommaire du match
86691Abbotsford Canucks3Calgary Wranglers2LXXSommaire du match
89713Syracuse Crunch3Calgary Wranglers5WSommaire du match
91730Calgary Wranglers4Charlotte Checkers2WSommaire du match
92742Calgary Wranglers3Grand Rapids Griffins2WSommaire du match
94756Hartford Wolf Pack6Calgary Wranglers4LSommaire du match
96772Calgary Wranglers4Hershey Bears2WSommaire du match
97783Calgary Wranglers4San Jose Barracuda5LSommaire du match
99798San Jose Barracuda3Calgary Wranglers1LSommaire du match
101819Calgary Wranglers1Milwaukee Admirals2LXXSommaire du match
102828Milwaukee Admirals2Calgary Wranglers3WXSommaire du match
105849Henderson Silver Knights3Calgary Wranglers2LXXSommaire du match
106861Calgary Wranglers2Tucson Roadrunners4LSommaire du match
108875Calgary Wranglers4Laval Rocket2WSommaire du match
110890Laval Rocket5Calgary Wranglers3LSommaire du match
112904Calgary Wranglers6Colorado Eagles3WSommaire du match
114923Hershey Bears1Calgary Wranglers2WSommaire du match
117946Providence Bruins2Calgary Wranglers1LSommaire du match
120970Cleveland Monsters4Calgary Wranglers3LXXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
122990Calgary Wranglers2Providence Bruins3LXSommaire du match
123997Calgary Wranglers2Texas Stars1WSommaire du match
1251012Calgary Wranglers4Bakersfield Condors2WSommaire du match
1261021Texas Stars2Calgary Wranglers1LXXSommaire du match
1291045Manitoba Moose1Calgary Wranglers3WSommaire du match
1301060Calgary Wranglers1Springfield Thunderbirds2LXSommaire du match
1321073Calgary Wranglers2Rochester Americans3LSommaire du match
1331085San Diego Gulls3Calgary Wranglers2LSommaire du match
1371112Ontario Reign1Calgary Wranglers4WSommaire du match
1411133Bridgeport Islanders3Calgary Wranglers2LXXSommaire du match
1421144Calgary Wranglers3Bakersfield Condors0WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance56,04332,964
Assistance PCT77.84%91.57%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2472 - 82.41% 97,882$3,523,745$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
3,731,154$ 3,263,935$ 3,263,935$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 3,231,194$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 25,958$ 0$




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