Connexion


Centre de jeu
Cyclones
8-5-0, 16pts
2
FINAL
3 WolfPack
7-4-0, 14pts
Team Stats
W1StreakL1
5-2-0Home Record4-1-0
3-3-0Away Record3-3-0
7-2-1Last 10 Games6-3-1
3.23Buts par match 3.00
2.31Buts contre par match 3.09
13.21%Pourcentage en avantage numérique18.00%
87.76%Pourcentage en désavantage numérique86.96%
WolfPack
7-4-0, 14pts
0
FINAL
3 Cyclones
8-5-0, 16pts
Team Stats
L1StreakW1
4-1-0Home Record5-2-0
3-3-0Away Record3-3-0
6-3-1Last 10 Games7-2-1
3.00Buts par match 3.23
3.09Buts contre par match 2.31
18.00%Pourcentage en avantage numérique13.21%
86.96%Pourcentage en désavantage numérique87.76%
SilverKnights
8-2-0, 16pts
Jour 30
Cyclones
8-5-0, 16pts
Stats Équipe
OTW1SéquenceW1
4-1-0Fiche domicile5-2-0
4-1-0Fiche visiteur3-3-0
8-2-010 derniers matchs7-2-1
5.40Buts par match 3.23
4.40Buts contre par match 2.31
25.49%Pourcentage en avantage numérique13.21%
72.73%Pourcentage en désavantage numérique87.76%
SilverKnights
8-2-0, 16pts
Jour 32
Cyclones
8-5-0, 16pts
Stats Équipe
OTW1SéquenceW1
4-1-0Fiche domicile5-2-0
4-1-0Fiche visiteur3-3-0
8-2-010 derniers matchs7-2-1
5.40Buts par match 3.23
4.40Buts contre par match 2.31
25.49%Pourcentage en avantage numérique13.21%
72.73%Pourcentage en désavantage numérique87.76%
Cyclones
8-5-0, 16pts
Jour 34
SilverKnights
8-2-0, 16pts
Stats Équipe
W1SéquenceOTW1
5-2-0Fiche domicile4-1-0
3-3-0Fiche visiteur4-1-0
7-2-110 derniers matchs8-2-0
3.23Buts par match 5.40
2.31Buts contre par match 4.40
13.21%Pourcentage en avantage numérique25.49%
87.76%Pourcentage en désavantage numérique72.73%
Meneurs d'équipe
Justin DanforthButs
Justin Danforth
13
William BorgenPasses
William Borgen
11
Justin DanforthPoints
Justin Danforth
19
Justin DanforthPlus/Moins
Justin Danforth
5
Kevin LankinenVictoires
Kevin Lankinen
8
Kevin LankinenPourcentage d’arrêts
Kevin Lankinen
0.916

Stats Équipe
Buts pour
42
3.23 GFG
Tirs pour
293
22.54 Avg
Pourcentage en avantage numérique
13.2%
7 GF
Début de zone offensive
37.3%
Buts contre
30
2.31 GAA
Tirs contre
357
27.46 Avg
Pourcentage en désavantage numérique
87.8%
6 GA
Début de la zone défensive
42.4%
Information d’équipe
Directeur généralJean-Olivier Guillemette
EntraîneurDallas Eakins
DivisionCentral
ConférenceWestern
CapitaineChris Tierney
Assistant #1Justin Danforth
Assistant #2Calle Rosen
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro23
Équipe Mineure21
Limite contact 44 / 50
Espoirs7
Historique d'équipe
Saison actuelle8-5
Historique893-528-126 (0.577%)
Apparitions séries éliminatoires 14
Historique séries éliminatoires (W-L)110-84
Stanley Cup2


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
1Denis MalginX100.0065418882467387584050666740747465766302611,512,500$
2Chris Tierney (C)X100.005047877859736856825657716080775076630293950,000$
3Justin Danforth (A)X100.008440868245605058894768744082714576630303900,000$
4Drew O'ConnorX100.007251857667717555405159664072727077620251825,000$
5Alex SteevesX100.004844818152746457406054504070727576590241750,000$
6Filip ChlapikX100.0094498476626050534048505040746765765702611,512,500$
7Cole KoepkeX100.008448887561705547404055584072717078570251633,000$
8Conner BleackleyX100.0062467575576050446035525140766860765302711,513,000$
9Mike HardmanX100.009961787568675738403837504070697575530241750,000$
10Bryce KindoppX100.007078867559746431402438504070727567500241696,000$
11Nathan NoelX100.0058596675466050307027345740746765764802611,226,500$
12William BorgenX100.0098607976697799564057557340767760807102711,250,000$
13Calle Rosen (A)X100.004846878257767763405770774080785076680292850,000$
14Brayden PachalX100.009951747567775053405650754070747570670242850,000$
15Lawrence PilutX100.004846907856715553405057674078755576620282851,000$
16Anttoni Honka (R)X100.004441849247746947405341514068718076590232750,000$
17Jacob MoverareX100.006054787572666144404938534072697077580251825,000$
18Zack HayesX100.008650777583555034403039574070637574580241750,000$
Rayé
MOYENNE D’ÉQUIPE 100.00715182786069634948465161417472667560
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
1Kevin Lankinen100.008153608778827885807799788055827702822,000,000$
2Erik Kallgren100.008050609170686772646140767260636902732,000,000$
Rayé
1Alex Stalock100.008163627881788277768087948615547703622,000,000$
2Petr Mrazek100.008078798758606463616098847240286703132,000,000$
3Keith Kinkaid100.007553608858565657595640907325286303431,250,000$
MOYENNE D’ÉQUIPE100.0079596486696969716867738477395171
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dallas Eakins69686974878756CAN5731,250,000$


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
1Justin DanforthCyclones (Nas)RW1313619560363753183124.53%228321.772131143000004065.00%2000001.3400000222
2Denis MalginCyclones (Nas)C13581340010293581114.29%326920.730339471011460040.78%35800000.9600000001
3Calle RosenCyclones (Nas)D13391240002021111514.29%1728421.892351649011041100.00%000000.8400000012
4William BorgenCyclones (Nas)D1311112316071191031510.00%1532725.19134849011034000.00%000000.7300000210
5Chris TierneyCyclones (Nas)C13471150004725131716.00%226420.350117440000340166.43%28300000.8300000201
6Lawrence PilutCyclones (Nas)D132795000151281516.67%928321.80112743000139000.00%000000.6400000010
7Brayden PachalCyclones (Nas)D131785603820116129.09%1528121.66101843000037010.00%000000.5700000010
8Alex SteevesCyclones (Nas)LW132575002142810167.14%127120.890002440001350041.18%1700000.5200000020
9Anttoni HonkaCyclones (Nas)D1305536011121020.00%820816.0700000000010000.00%000000.4800000000
10Drew O'ConnorCyclones (Nas)LW1322444023132021710.00%526720.570002470001440130.43%2300000.3000000011
11Cole KoepkeCyclones (Nas)LW1331408018183082210.00%221116.2600000000061033.33%900000.3800000011
12Conner BleackleyCyclones (Nas)C13213040721222139.09%020615.8700000000041056.19%19400000.2900000000
13Filip ChlapikCyclones (Nas)RW133034240385102530.00%123017.72000142000001050.00%1200000.2600000200
14Jacob MoverareCyclones (Nas)D1303332354192020.00%1320415.730000000007000.00%000000.2900010000
15Mike HardmanCyclones (Nas)LW131122609320350.00%0836.4300000000000025.00%400000.4800000001
16Bryce KindoppCyclones (Nas)RW13011040846120.00%021016.1700006000000063.64%1100000.1000000000
17Zack HayesCyclones (Nas)D13011-120512110.00%1594.600000000000000.00%000000.3300000000
18Nathan NoelCyclones (Nas)C13000200193010.00%1826.3700000000000061.04%7700000.0000000000
Statistiques d’équipe totales ou en moyenne23442751175310953182962939320014.33%95403017.23712197146312343438352.98%100800000.58000108109
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
1Kevin LankinenCyclones (Nas)138230.9162.1882401303570100.0000130202
Statistiques d’équipe totales ou en moyenne138230.9162.1882401303570100.0000130202


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 2037 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2038 203920402041204220432044Salaire annuel 9Salaire annuel 10Link
Alex StalockCyclones (Nas)G361987-11-28No185 Lbs6 ft0YesNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Alex SteevesCyclones (Nas)LW241999-12-10No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Anttoni HonkaCyclones (Nas)D232000-10-05Yes179 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien NHL
Brayden PachalCyclones (Nas)D241999-08-23No203 Lbs6 ft2NoNoNo2Pro & Farm850,000$0$0$No850,000$
RFA
Lien / Lien NHL
Bryce KindoppCyclones (Nas)RW241999-06-14No191 Lbs6 ft1NoNoNo1Pro & Farm696,000$0$0$No
RFA
Lien / Lien NHL
Calle RosenCyclones (Nas)D291994-02-02No188 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Lien / Lien NHL
Chris TierneyCyclones (Nas)C291994-07-01No191 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Lien / Lien NHL
Cole KoepkeCyclones (Nas)LW251998-05-17No196 Lbs6 ft1NoNoNo1Pro & Farm633,000$0$0$No
RFA
Lien / Lien NHL
Conner BleackleyCyclones (Nas)C271996-02-07No195 Lbs5 ft11NoNoNo1Pro & Farm1,513,000$0$0$No
UFA
Lien / Lien NHL
Denis MalginCyclones (Nas)C261997-01-18No182 Lbs5 ft9NoNoNo1Pro & Farm1,512,500$0$0$No
RFA
Lien / Lien NHL
Drew O'ConnorCyclones (Nas)LW251998-06-09No200 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Erik KallgrenCyclones (Nas)G271996-10-14No175 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Filip ChlapikCyclones (Nas)RW261997-06-03No194 Lbs6 ft2NoNoNo1Pro & Farm1,512,500$0$0$No
RFA
Lien / Lien NHL
Jacob MoverareCyclones (Nas)D251998-08-31No210 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Justin DanforthCyclones (Nas)RW301993-03-15No180 Lbs5 ft9NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Lien / Lien NHL
Keith KinkaidCyclones (Nas)G341989-07-04No190 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$
UFA
Lien / Lien NHL
Kevin LankinenCyclones (Nas)G281995-04-28No190 Lbs6 ft2YesNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Lawrence PilutCyclones (Nas)D281995-12-30No194 Lbs5 ft11NoNoNo2Pro & Farm851,000$0$0$No851,000$
UFA
Lien / Lien NHL
Mike HardmanCyclones (Nas)LW241999-02-05No205 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Nathan NoelCyclones (Nas)C261997-06-21No174 Lbs5 ft11NoNoNo1Pro & Farm1,226,500$0$0$No
RFA
Lien / Lien NHL
Petr MrazekCyclones (Nas)G311992-02-14No187 Lbs6 ft1NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
William BorgenCyclones (Nas)D271996-12-19No204 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$No
UFA
Lien / Lien NHL
Zack HayesCyclones (Nas)D241999-04-24No231 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2327.04193 Lbs6 ft11.701,158,457$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorDenis MalginJustin Danforth40122
2Alex SteevesChris TierneyFilip Chlapik30122
3Cole KoepkeConner BleackleyBryce Kindopp20122
4Mike HardmanNathan NoelJustin Danforth10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenCalle Rosen40122
2Brayden PachalLawrence Pilut30122
3Anttoni HonkaJacob Moverare20122
4Zack HayesWilliam Borgen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorDenis MalginJustin Danforth60122
2Alex SteevesChris TierneyFilip Chlapik40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenCalle Rosen60122
2Brayden PachalLawrence Pilut40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Denis MalginDrew O'Connor60122
2Chris TierneyAlex Steeves40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenCalle Rosen60122
2Brayden PachalLawrence Pilut40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Denis Malgin60122William BorgenCalle Rosen60122
2Chris Tierney40122Brayden PachalLawrence Pilut40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Denis MalginDrew O'Connor60122
2Chris TierneyAlex Steeves40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William BorgenCalle Rosen60122
2Brayden PachalLawrence Pilut40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorDenis MalginJustin DanforthWilliam BorgenCalle Rosen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drew O'ConnorDenis MalginJustin DanforthWilliam BorgenCalle Rosen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Steeves, Filip Chlapik, Cole KoepkeAlex Steeves, Filip ChlapikAlex Steeves
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Anttoni Honka, Jacob Moverare, Zack HayesAnttoni HonkaAnttoni Honka, Jacob Moverare
Tirs de pénalité
Justin Danforth, Denis Malgin, Chris Tierney, Drew O'Connor, Alex Steeves
Gardien
#1 : Kevin Lankinen, #2 : Erik Kallgren


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
1HC64200000201643210000012933210000087180.66720365600131414114492829920211603817126311.54%19384.21%019237651.06%22542752.69%11720557.07%3432353059817693
2WolfPack743000002214843100000117431200000117480.57122396101131414114992829920146357114727414.81%30390.00%119237651.06%22542752.69%11720557.07%3432353059817693
Total13850000042301275200000231676330000019145160.6154275117011314141293928299203579510931853713.21%49687.76%119237651.06%22542752.69%11720557.07%3432353059817693
_Since Last GM Reset13850000042301275200000231676330000019145160.6154275117011314141293928299203579510931853713.21%49687.76%119237651.06%22542752.69%11720557.07%3432353059817693
_Vs Conference13850000042301275200000231676330000019145160.6154275117011314141293928299203579510931853713.21%49687.76%119237651.06%22542752.69%11720557.07%3432353059817693

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
1316W142751172933579510931801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
138500004230
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
75200002316
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001914
Derniers 10 matchs
WLOTWOTL SOWSOL
621100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
53713.21%49687.76%1
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
928299201314141
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
19237651.06%22542752.69%11720557.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3432353059817693


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
25HC3Cyclones2BLXSommaire du match
413HC3Cyclones5BWSommaire du match
621Cyclones3HC4ALXSommaire du match
829Cyclones3HC2AWSommaire du match
1037HC3Cyclones5BWSommaire du match
1245Cyclones2HC1AWSommaire du match
1659WolfPack1Cyclones2BWSommaire du match
1863WolfPack4Cyclones3BLXSommaire du match
2067Cyclones2WolfPack3ALSommaire du match
2271Cyclones7WolfPack1AWSommaire du match
2475WolfPack2Cyclones3BWXSommaire du match
2679Cyclones2WolfPack3ALSommaire du match
2883WolfPack0Cyclones3BWSommaire du match
3086SilverKnights-Cyclones-
3288SilverKnights-Cyclones-
3490Cyclones-SilverKnights-
3692Cyclones-SilverKnights-
3894SilverKnights-Cyclones-
4096Cyclones-SilverKnights-
4298SilverKnights-Cyclones-



Cyclones Leaders statistiques (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
1Nate Prosser1438296485781299167218021877244012.13%8382351916.36701181882728101876452347.91%90.661343
2Jack Skille510179202381877341147862146912.19%1371051020.6142721142431031343251339.43%120.72949
3Lance Bouma49711715827535565131391997911.95%149908818.2923638617836929211347.48%10.61838
4Denis Malgin32695130225443014085662115.30%42665920.432250721620442016551.87%10.68823
5Mark Fraser71442172214141179325436445927.09%6411444220.2320426220827911950.00%00.3000

Cyclones 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
1Alex Stalock26215187240.9062.1615872123257260560820.779113
2Erik Ersberg24515070230.9052.8514741274699736430782750.76895
3Drew MacIntyre16410148140.8972.31981541537736720310.80075
4Martin Biron1639259120.9141.579906228259301701210.77794
5Craig Anderson1527460120.8982.4488964836135510320.73241

Cyclones 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
Saison régulière
2017824622011843122318141211301042146114324125900142166117499531250781914061127115253307118759092498851170018502677226.97%3096080.58%8910176551.56%956202847.14%700141649.44%160579718709051690822
20188244200560729223458412480430216211745412012013051301171310429247476612062119106256307459618312530866170019962135626.29%2445477.87%10890178249.94%1038198752.24%709137051.75%162282016658251683823
201981392900373302249534021140014015311142411815002331491381181302481783110641151162816076797610512408841163319832446928.28%2446175.00%101101210752.25%906199445.44%660128151.52%165487116358061626787
202082472103173326240864122130112213511223412580205119112863101326510836310591451122881083010689632483795229021902686725.00%2886477.78%91029207649.57%1007207648.51%620133646.41%174695816638061568757
20218237280306816514223412015000337662144117130303589809801652854501100625242170405995285441590465128721023906516.67%5135589.28%21346249154.03%1215243449.92%555107751.53%1969131519626341064537
2022813631020841621303241231202040996138401319000446369-6761622724340180584945172206365135551428401105018323825514.40%4684590.38%01453247158.80%1328229257.94%634108558.43%2070141718096081047543
202381422702271197171264122130014193831040201402130104881690197335532080676358183405596086521823554104518054135814.04%4376784.67%31438250357.45%1299235155.25%683113959.96%2140150417615711005527
2024824127041451881563241221403002937617411913011439580151041883375250140626355175305465915941642486101019053555515.49%4274290.16%31318236855.66%1203232551.74%588114351.44%2125146517955911058555
2025824029024522171952241201602120109101841201300332108941410021738460118071756418200594618594187154695120863337321.92%4115187.59%61278240353.18%1269241152.63%610122050.00%2026138018846011055543
20268245200049424519451412511001311341003441209003631119417116245425670070968258202406896496611852542109321353518925.36%4736586.26%81405253255.49%1341243555.07%665122354.37%2068141418675981054544
2027823623041108207171364118110214598831541181202063109882110920735356007072586316900529570565158043988119353564412.36%3755485.60%41311237555.20%1207223354.05%627116953.64%2250158617085851061567
203082313702435214245-3141161801114102125-2341151901321112120-881214374588110697466177306055655862214663105922503163912.34%4837983.64%21210224653.87%1471262156.12%676122155.36%1917130020376041021504
2031823133033932121872541191203151108792941122100242104108-49221236257426080625817000568573536181254085218343776015.92%3584487.71%31240223655.46%1306234255.76%615114753.62%2057143519165991023523
203282452602126224178464127901013123814241181701113101974105224401625011079627917830601528634183752478618483346419.16%3355085.07%51130236047.88%1136239947.35%566124945.32%2046140918606011062550
20338238290317423118843412312020401208436411517011341111047101231398629010094775018620613596633187950478918153325817.47%3384985.50%31336232657.44%1295230356.23%691119357.92%2092145018525851040544
203482363004246235204314125801124131844741112203122104120-169623542966415090805718730643563640194753079318973846416.67%3685585.05%21404243957.56%1286237454.17%686122056.23%2177153317715741032545
203582344101312202219-1741171801212107108-14117230010095111-167720235555708075665917180577547583217357987020433816316.54%3485783.62%11195220254.27%1398252055.48%644121053.22%2094147518305791018522
203680323502551219214540122101321102109-740201401230117105128421937959814079706318010598603583200858690717813215818.07%3355085.07%31311227457.65%1326227258.36%652116555.97%2096147117495501003532
2037824120029552472004741257015031289434411613014521191061311024743768401082817711185658659064570210256478419023997819.55%3184585.85%41188223853.08%1326253552.31%592118350.04%2078144818755821033541
Total Saison régulière1553741528045511078143973748649777402245026224636221917844357763392830192961452178196421418024397749811895131358213811516127737706586120001257712184376771127621480371896416118718.50%7072104785.20%86234934319454.39%233134393253.07%121732304752.82%378402505634517122122215111275
Séries éliminatoires
2017231670000084661812102000005235171165000003231132841312150001837267220168281243712243413521862529.07%821482.93%323949648.19%25253647.01%20241049.27%45022023471143486240
201819109000006655111046000003632496300000302372066106172000153118549015121615853019434948448714.58%691085.51%017139643.18%17241641.35%13231741.64%365173396211416193
201918108000006354910640000033303844000003024620631021650001224257090203262236593186295483621320.97%491177.55%127850455.16%22546548.39%15027953.76%397221360172339166
2020404000001321-82020000068-220200000713-601317300003461520505349138558910711218.18%16850.00%06310758.88%4410044.00%337742.86%895177367336
202118108000003935495400000191819540000020173203969108010165144130118145128378116256492931415.05%1051585.71%131556855.46%29156051.96%13024952.21%444303455140229116
2022624000001011-1312000005503120000056-1410172701043210902340439833681252114.76%31196.77%08316849.40%7415846.84%327841.03%14998140488140
20231046000002230-8532000001513251400000717-1082239610102611219056518621578124255571119.30%531375.47%016832451.85%14029747.14%8815556.77%2892042377913771
2024149500000302010761000001688734000001412218305383030111353020968611636686217370641523.44%74494.59%021540253.48%25846855.13%11719061.58%35324432110017590
2025734000001415-141300000711-43210000074361425390003831640455952162379515350816.00%38392.11%211023946.03%11621853.21%4810247.06%162107182579144
20261912700000453789630000023194106400000221842445761210202016843901611531233941292204591021413.73%1021090.20%234261355.79%29153654.29%15125958.30%489337417136239126
2027117400000242315410000012102633000001213-114244670020106723509265712206311625457814.04%51786.27%013331042.90%13734639.60%6514345.45%2541702859014772
2031624000001011-13120000056-13120000055041016260002351260373844131456514133412.12%29486.21%07917046.47%8617449.43%317044.29%149101156498139
2032514000001217-530300000510-52110000077021220320005611320474738146353812024312.50%17288.24%07516944.38%7513854.35%508360.24%13493104326234
2033211650000081562511920000043291410730000038271132811342150203025235650190181168570157202578942223.40%781087.18%144470063.43%40965562.44%22537360.32%599423456147277150
203713850000042301275200000231676330000019145164275117011314141293928299203579510931853713.21%49687.76%119237651.06%22542752.69%11720557.07%3432353059817693
Total Séries éliminatoires194110840000055548174100613900000300250509449450000025523124220555926148101313165201155512992151917761575501015522656486085515418.01%84311886.00%112907554252.45%2795549450.87%1571299052.54%467429876245254430151517

Cyclones Leaders statistiques (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
1Nate Prosser414841312153041352161572211.63%243690816.692536611153362116548.06%10.6200
2Jack Skille85333063-514023517325412.99%38185221.79614204400053037.45%20.6800
3Denis Malgin341721381664213411514.78%1180723.762682210143253.91%10.9400
4John Mitchell468233113460103819.88%1485818.6746101600021260.75%00.7200
5Taylor Fedun4011193091651378912.36%2979519.886410591123310.00%00.7500

Cyclones 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
1Erik Ersberg41201650.8973.082455401261228522500.0000
2Erik Ersberg2416610.9072.8014152066712328100.0000
3Alex Stalock2116140.9032.50131862555660100.0000
4Drew MacIntyre26151010.9061.98158042525560300.0000
5Martin Biron2111730.9091.75130522384170000.0000