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Rocket
GP: 46 | W: 25 | L: 18 | OTL: 3 | P: 53
GF: 160 | GA: 137 | PP%: 23.23% | PK%: 83.78%
DG: Pascal Simoneau | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #727 vs Bears

Centre de jeu
Griffins
17-24-6, 40pts
6
1 Rocket
25-18-3, 53pts
Team Stats
L1SéquenceW1
10-12-3Fiche domicile15-8-1
7-12-3Fiche domicile10-10-2
4-5-1Derniers 10 matchs6-4-0
3.47Buts par match 3.48
3.83Buts contre par match 2.98
26.83%Pourcentage en avantage numérique23.23%
72.29%Pourcentage en désavantage numérique83.78%
Canucks
26-18-1, 53pts
2
7 Rocket
25-18-3, 53pts
Team Stats
L1SéquenceW1
13-6-0Fiche domicile15-8-1
13-12-1Fiche domicile10-10-2
5-5-0Derniers 10 matchs6-4-0
3.40Buts par match 3.48
3.18Buts contre par match 2.98
25.15%Pourcentage en avantage numérique23.23%
78.89%Pourcentage en désavantage numérique83.78%
Rocket
25-18-3, 53pts
2026-01-13
Bears
24-17-5, 53pts
Statistiques d’équipe
W1SéquenceW3
15-8-1Fiche domicile11-11-2
10-10-2Fiche visiteur13-6-3
6-4-010 derniers matchs8-1-1
3.48Buts par match 3.59
2.98Buts contre par match 3.59
23.23%Pourcentage en avantage numérique22.78%
83.78%Pourcentage en désavantage numérique78.65%
Rocket
25-18-3, 53pts
2026-01-15
Americans
24-15-5, 53pts
Statistiques d’équipe
W1SéquenceW1
15-8-1Fiche domicile14-5-3
10-10-2Fiche visiteur10-10-2
6-4-010 derniers matchs6-4-0
3.48Buts par match 3.57
2.98Buts contre par match 3.57
23.23%Pourcentage en avantage numérique24.84%
83.78%Pourcentage en désavantage numérique78.31%
Rocket
25-18-3, 53pts
2026-01-17
Senators
29-9-6, 64pts
Statistiques d’équipe
W1SéquenceW1
15-8-1Fiche domicile16-2-4
10-10-2Fiche visiteur13-7-2
6-4-010 derniers matchs5-4-1
3.48Buts par match 3.86
2.98Buts contre par match 3.86
23.23%Pourcentage en avantage numérique27.98%
83.78%Pourcentage en désavantage numérique80.61%
Meneurs d'équipe
Alex LimogesButs
Alex Limoges
31
Justin HryckowianPasses
Justin Hryckowian
31
Brett BerardPoints
Brett Berard
54
Noel HoefenmayerPlus/Moins
Noel Hoefenmayer
17
Pheonix CopleyVictoires
Pheonix Copley
25
Pheonix CopleyPourcentage d’arrêts
Pheonix Copley
0.909

Statistiques d’équipe
Buts pour
160
3.48 GFG
Tirs pour
1551
33.72 Avg
Pourcentage en avantage numérique
23.2%
36 GF
Début de zone offensive
41.2%
Buts contre
137
2.98 GAA
Tirs contre
1497
32.54 Avg
Pourcentage en désavantage numérique
83.8%%
30 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralPascal Simoneau
EntraîneurDominique Ducharme
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,586
Billets de saison3,750


Informations de la formation

Équipe Pro20
Équipe Mineure20
Limite contact 40 / 70
Espoirs11


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
1Alex LimogesX100.006937936678808164736563626669700406502811,000,000$
2Nikita AlexandrovXX100.006637916773817465746664616865670406502531,499,999$
3Adam BeckmanXX100.00673883657787826458636062616566040640253985,000$
4Brett BerardX100.00653974666485866561636462666564040640232925,000$
5Justin HryckowianX100.00673983647176756372656261636467040630254925,000$
6Graeme ClarkeX100.00683784596991855760585956556564040610252925,000$
7Xavier SimoneauXXX100.00644358636572816268615563606466040610251925,000$
8Mathias LaferriereX100.00693989597874835855575456586567040610263925,000$
9Milo RoelensX100.00844373569366675457515558546264040600233985,000$
10Tristen NielsenX100.00604073596982845664595857566567040600264925,000$
11Ben HemmerlingX100.005836955667716254515353555461630405702231,499,999$
12Jeremy DaviesX100.00593973606880865930655657496971040610293925,000$
13Djibril ToureX100.00905862569963665530545359456264040600233985,000$
14Noel HoefenmayerX100.00644071607377765730615556486668040600271925,000$
15Christoffer SedoffX100.00693985577867805530565358466365040600242925,000$
16Anton MalmstromX100.00774082558663655430535157456567040590264925,000$
17Cole KrygierX100.00734174578261605530565058456567040590264925,000$
Rayé
1Walker DuehrX100.00753894668275796561636462656870040660282925,000$
MOYENNE D’ÉQUIPE100.0069408061767576595259575956656704061
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
1Pheonix Copley100.00778176877675777675777673870406703431,299,000$
2Victor Ostman100.0069726887686769686769686573040630253925,000$
Rayé
MOYENNE D’ÉQUIPE100.007377728772717372717372698004065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme66747572787272CAN521500,000$


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
1Brett BerardRocket (MTL)LW4627275410360791072046513113.24%1293620.354913371181011824243.33%6000011.1501000545
2Alex LimogesRocket (MTL)LW463122536240751462104915514.76%24114124.8186143212901171815156.07%49400040.9301000721
3Justin HryckowianRocket (MTL)C46153146922073128163461119.20%1184018.28291127118000003050.92%108600001.0911000032
4Mark FriedmanCanadiensD3872633-934096618220548.54%6794924.992911371121012122100%000000.7000000222
5Nikita AlexandrovRocket (MTL)C/LW38122133510041109125411049.60%1291023.9748121711101111442154.15%102500000.7201000223
6Adam BeckmanRocket (MTL)LW/RW388202871607666122291086.56%1678920.79235201000001691042.54%13400000.7101000223
7Jeremy DaviesRocket (MTL)D4671724-1180473958133812.07%7098721.476511311340003158100%000000.4900000020
8Djibril ToureRocket (MTL)D4691423119751673150183318.00%6388419.2453814810110770033.33%900000.5200001021
9Noel HoefenmayerRocket (MTL)D46716231780273643133116.28%4988119.16325221120000137200%000000.5200000111
10Graeme ClarkeRocket (MTL)RW46913222140316110828618.33%771415.53000220002401245.92%9800000.6200000101
11Xavier SimoneauRocket (MTL)C/LW/RW467152242806311315243954.61%1070415.310004100000330152.65%77500000.6200000100
12Mathias LaferriereRocket (MTL)RW386162238040386219429.68%564416.97044576000001148.89%4500000.6800000013
13Christoffer SedoffRocket (MTL)D46391210100513926131811.54%4173015.88000535000032100%000000.3300000020
14Nathan BastianCanadiensRW1029110604617309196.67%220320.370337330001190052.38%4200001.0800000121
15Milo RoelensRocket (MTL)C466410-128087506528539.23%659112.8600000000051052.41%18700000.3400000002
16Cole KrygierRocket (MTL)D46189638078351092110.00%3367914.7800000000055000%000000.2600000001
17Tristen NielsenRocket (MTL)C46279220911307126.67%01773.86000040000101048.96%9600001.0100000010
18Anton MalmstromRocket (MTL)D46088-48039148180%182926.3601125000021000%000000.5500000000
19Ben HemmerlingRocket (MTL)RW11000-100002000%0131.200000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne771159283442764075112511011550451109410.26%4461307416.96366298262118723518119024852.15%405200050.6815001222626
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
1Pheonix CopleyRocket (MTL)46251830.9092.9626966213314590201.0005460112
2Victor OstmanRocket (MTL)30000.8953.33720043800000046000
Statistiques d’équipe totales ou en moyenne49251830.9082.97276962137149702054646112


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 Plafond 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 BeckmanRocket (MTL)LW/RW252001-05-10CANNo182 Lbs188 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm985,000$0$0$No985,000$985,000$-------985,000$985,000$-------NoNo-------Lien / Lien NHL
Alex LimogesRocket (MTL)LW281997-09-16USANo201 Lbs185 CMNoNoAssign ManuallyYesYes12024-07-17FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Anton MalmstromRocket (MTL)D262000-03-18SWENo200 Lbs193 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Ben HemmerlingRocket (MTL)RW222004-04-21CANNo174 Lbs180 CMNoNoFree AgentNoNo32025-07-13FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Brett BerardRocket (MTL)LW232002-09-09USANo175 Lbs175 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Christoffer SedoffRocket (MTL)D242002-02-20FINNo201 Lbs185 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Cole KrygierRocket (MTL)D262000-05-05USANo192 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Djibril ToureRocket (MTL)D232003-06-05CANNo217 Lbs201 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm985,000$0$0$No985,000$985,000$-------985,000$985,000$-------NoNo-------Lien / Lien NHL
Graeme ClarkeRocket (MTL)RW252001-04-24CANNo175 Lbs183 CMNoNoN/ANoNo22024-06-13FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jeremy DaviesRocket (MTL)D291996-12-04CANNo180 Lbs180 CMNoNoFree AgentYesYes32025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Justin HryckowianRocket (MTL)C252001-02-23CANNo195 Lbs180 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Mathias LaferriereRocket (MTL)RW262000-06-27CANNo188 Lbs188 CMNoNoFree AgentNoNo32025-07-13FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Milo RoelensRocket (MTL)C232003-01-16CANNo205 Lbs198 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm985,000$0$0$No985,000$985,000$-------985,000$985,000$-------NoNo-------Lien / Lien NHL
Nikita AlexandrovRocket (MTL)C/LW252000-09-16RUSNo177 Lbs185 CMNoNoFree AgentNoNo32025-07-19FalseFalsePro & Farm1,499,999$0$0$No1,499,999$1,499,999$-------1,499,999$1,499,999$-------NoNo-------Lien / Lien NHL
Noel HoefenmayerRocket (MTL)D271999-01-06CANNo191 Lbs183 CMNoNoTrade2024-12-13NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Pheonix CopleyRocket (MTL)G341992-01-18USANo205 Lbs193 CMNoNoFree AgentYesYes32025-07-05FalseFalsePro & Farm1,299,000$0$0$No1,299,000$1,299,000$-------1,299,000$1,299,000$-------NoNo-------Lien / Lien NHL
Tristen NielsenRocket (MTL)C262000-02-23CANNo192 Lbs178 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Victor OstmanRocket (MTL)G252000-10-03SWENo205 Lbs193 CMNoNoFree AgentNoNo32025-07-05FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Walker DuehrRocket (MTL)RW281997-11-23USANo210 Lbs188 CMNoNoFree AgentYesYes22025-07-26FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Xavier SimoneauRocket (MTL)C/LW/RW252001-05-19CANNo183 Lbs168 CMNoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2025.75192 Lbs185 CM2.701,013,950$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex Limoges40122
2Brett BerardJustin Hryckowian30122
3Milo RoelensXavier SimoneauGraeme Clarke20122
4Alex LimogesMilo Roelens10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Davies40122
2Djibril ToureNoel Hoefenmayer30122
3Christoffer SedoffCole Krygier20122
4Anton Malmstrom10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex Limoges60122
2Brett BerardJustin Hryckowian40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Davies60122
2Djibril ToureNoel Hoefenmayer40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Brett Berard40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Davies60122
2Djibril ToureNoel Hoefenmayer40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Alex Limoges60122Jeremy Davies60122
240122Djibril ToureNoel Hoefenmayer40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex Limoges60122
2Brett Berard40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jeremy Davies60122
2Djibril ToureNoel Hoefenmayer40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesJeremy Davies
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesJeremy Davies
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tristen Nielsen, Xavier Simoneau, Graeme ClarkeTristen Nielsen, Xavier SimoneauGraeme Clarke
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Christoffer Sedoff, Cole Krygier, Anton MalmstromChristoffer SedoffCole Krygier, Anton Malmstrom
Tirs de pénalité
Alex Limoges, , , Brett Berard, Justin Hryckowian
Gardien
#1 : Pheonix Copley, #2 : Victor Ostman


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
1Admirals11000000321110000003210000000000021.0003690066494412649850953910277834400.00%20100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
2Americans11000000422110000004220000000000021.0004812006649441364985095391036108237114.29%4175.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
3Bears1010000035-21010000035-20000000000000.000369006649441244985095391027910226233.33%40100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
4Bruins211000008801010000037-41100000051420.500812200066494416949850953910561710548112.50%5180.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
5Canucks21000100954110000007251000010023-130.7509172600664944176498509539107315647600.00%3166.67%0867168751.39%862166151.90%39474752.74%10887481099337584288
6Checkers2200000017314110000009091100000083541.0001731480166494411234985095391045128623266.67%40100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
7Comets1010000003-3000000000001010000003-300.00000000664944122498509539103341821500.00%9277.78%0867168751.39%862166151.90%39474752.74%10887481099337584288
8Condors21000100651110000003121000010034-130.750612180066494416249850953910612318406350.00%9188.89%0867168751.39%862166151.90%39474752.74%10887481099337584288
9Crunch22000000954110000004221100000053241.000914230066494417249850953910702620517342.86%7185.71%0867168751.39%862166151.90%39474752.74%10887481099337584288
10Eagles11000000321000000000001100000032121.000369006649441314985095391033903211100.00%000%0867168751.39%862166151.90%39474752.74%10887481099337584288
11Firebirds22000000734110000005231100000021141.000713200066494415749850953910451514516116.67%5180.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
12Griffins2110000047-31010000016-51100000031220.50047110066494417149850953910571612498225.00%5260.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
13Heat211000001174110000007251010000045-120.5001118290066494416349850953910681830445360.00%13284.62%0867168751.39%862166151.90%39474752.74%10887481099337584288
14IceHogs21100000651110000003121010000034-120.500612180066494416049850953910782318385120.00%90100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
15Marlies31200000711-4110000004222020000039-620.3337111800664944197498509539101022916971317.69%80100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
16Monsters11000000431000000000001100000043121.00047110066494413549850953910391214184250.00%7271.43%0867168751.39%862166151.90%39474752.74%10887481099337584288
17Moose1010000012-11010000012-10000000000000.00012300664944130498509539102986223133.33%30100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
18Penguins3120000010911010000034-12110000075220.333101929006649441109498509539101083332728112.50%15566.67%0867168751.39%862166151.90%39474752.74%10887481099337584288
19Phantoms22000000844220000008440000000000041.00081523006649441524985095391045212248500.00%110100.00%1867168751.39%862166151.90%39474752.74%10887481099337584288
20Reign11000000404110000004040000000000021.00046100166494412949850953910291110254125.00%40100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
21Roadrunners2020000027-51010000024-21010000003-300.0002460066494415949850953910621922495120.00%10190.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
22Senators20200000511-620200000511-60000000000000.000510150066494415949850953910662235558337.50%13653.85%0867168751.39%862166151.90%39474752.74%10887481099337584288
23Silver Knights10000010431000000000001000001043121.0004610006649441384985095391044121627300.00%60100.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
24Stars21100000761110000006331010000013-220.500712190066494416649850953910782022405240.00%11190.91%0867168751.39%862166151.90%39474752.74%10887481099337584288
25Thunderbirds21100000550110000004131010000014-320.5005914006649441634985095391084252040700.00%10280.00%0867168751.39%862166151.90%39474752.74%10887481099337584288
26Wolf Pack210001008801000010034-11100000054130.750814220066494418549850953910662210438225.00%50100.00%1867168751.39%862166151.90%39474752.74%10887481099337584288
27Wolves1010000056-1000000000001010000056-100.0005813006649441374985095391036108215240.00%3166.67%0867168751.39%862166151.90%39474752.74%10887481099337584288
Total4624180031016013723241580010092672522910002106870-2530.576160285445026649441155149850953910149744841311251553623.23%1853083.78%2867168751.39%862166151.90%39474752.74%10887481099337584288
_Since Last GM Reset4624180031016013723241580010092672522910002106870-2530.576160285445026649441155149850953910149744841311251553623.23%1853083.78%2867168751.39%862166151.90%39474752.74%10887481099337584288
_Vs Conference25131100100928571366001004747012750000045387270.5409216225401664944189149850953910786243223636952223.16%1002179.00%2867168751.39%862166151.90%39474752.74%10887481099337584288
_Vs Division1486000005447784400000303006420000024177160.571549314701664944152749850953910432132109391541324.07%461176.09%0867168751.39%862166151.90%39474752.74%10887481099337584288

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4653W116028544515511497448413112502
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4624180310160137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2415801009267
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2291002106870
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1553623.23%1853083.78%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
498509539106649441
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
867168751.39%862166151.90%39474752.74%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10887481099337584288


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
2 - 2025-10-084Rocket1Marlies4LSommaire du match
3 - 2025-10-0910Rocket3Griffins1WSommaire du match
5 - 2025-10-1131Rocket3IceHogs4LSommaire du match
8 - 2025-10-1450Firebirds2Rocket5WSommaire du match
10 - 2025-10-1662Admirals2Rocket3WSommaire du match
12 - 2025-10-1880Wolf Pack4Rocket3LXSommaire du match
14 - 2025-10-2095Americans2Rocket4WSommaire du match
16 - 2025-10-22110Rocket4Heat5LSommaire du match
17 - 2025-10-23122Rocket3Condors4LXSommaire du match
19 - 2025-10-25136Rocket2Canucks3LXSommaire du match
22 - 2025-10-28164Rocket2Firebirds1WSommaire du match
26 - 2025-11-01187Senators5Rocket3LSommaire du match
29 - 2025-11-04204Phantoms3Rocket5WSommaire du match
31 - 2025-11-06220Rocket0Comets3LSommaire du match
33 - 2025-11-08235Roadrunners4Rocket2LSommaire du match
36 - 2025-11-11257Reign0Rocket4WSommaire du match
38 - 2025-11-13270Stars3Rocket6WSommaire du match
40 - 2025-11-15285Bruins7Rocket3LSommaire du match
42 - 2025-11-17305Rocket4Monsters3WSommaire du match
45 - 2025-11-20320Bears5Rocket3LSommaire du match
47 - 2025-11-22337Marlies2Rocket4WSommaire du match
51 - 2025-11-26372Rocket0Roadrunners3LSommaire du match
53 - 2025-11-28383Rocket4Silver Knights3WXXSommaire du match
54 - 2025-11-29392Rocket3Eagles2WSommaire du match
57 - 2025-12-02411Senators6Rocket2LSommaire du match
58 - 2025-12-03422Moose2Rocket1LSommaire du match
61 - 2025-12-06444Rocket2Marlies5LSommaire du match
62 - 2025-12-07457Thunderbirds1Rocket4WSommaire du match
64 - 2025-12-09466Crunch2Rocket4WSommaire du match
66 - 2025-12-11484Rocket5Penguins2WSommaire du match
68 - 2025-12-13500Rocket5Wolf Pack4WSommaire du match
69 - 2025-12-14512Condors1Rocket3WSommaire du match
71 - 2025-12-16521Phantoms1Rocket3WSommaire du match
73 - 2025-12-18536IceHogs1Rocket3WSommaire du match
75 - 2025-12-20556Penguins4Rocket3LSommaire du match
76 - 2025-12-21566Rocket2Penguins3LSommaire du match
78 - 2025-12-23577Rocket5Bruins1WSommaire du match
83 - 2025-12-28602Rocket5Crunch3WSommaire du match
85 - 2025-12-30618Rocket8Checkers3WSommaire du match
87 - 2026-01-01636Rocket5Wolves6LSommaire du match
89 - 2026-01-03648Rocket1Thunderbirds4LSommaire du match
90 - 2026-01-04657Rocket1Stars3LSommaire du match
93 - 2026-01-07678Heat2Rocket7WSommaire du match
94 - 2026-01-08683Checkers0Rocket9WSommaire du match
96 - 2026-01-10703Griffins6Rocket1LSommaire du match
98 - 2026-01-12720Canucks2Rocket7WSommaire du match
99 - 2026-01-13727Rocket-Bears-
101 - 2026-01-15740Rocket-Americans-
103 - 2026-01-17758Rocket-Senators-
106 - 2026-01-20780Wild-Rocket-
108 - 2026-01-22795Americans-Rocket-
110 - 2026-01-24812Rocket-Bruins-
113 - 2026-01-27832Silver Knights-Rocket-
115 - 2026-01-29845Eagles-Rocket-
117 - 2026-01-31865Rocket-Americans-
119 - 2026-02-02879Rocket-Wild-
121 - 2026-02-04895Rocket-Moose-
143 - 2026-02-26919Sound Tigers-Rocket-
145 - 2026-02-28940Bears-Rocket-
148 - 2026-03-03969Rocket-Barracuda-
151 - 2026-03-06987Rocket-Gulls-
152 - 2026-03-07997Rocket-Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101014Marlies-Rocket-
156 - 2026-03-111025Rocket-Senators-
159 - 2026-03-141048Barracuda-Rocket-
160 - 2026-03-151059Gulls-Rocket-
162 - 2026-03-171069Bruins-Rocket-
164 - 2026-03-191085Rocket-Griffins-
166 - 2026-03-211105Sound Tigers-Rocket-
169 - 2026-03-241121Wolves-Rocket-
171 - 2026-03-261137Monsters-Rocket-
173 - 2026-03-281161Rocket-Admirals-
174 - 2026-03-291169Rocket-Wolves-
176 - 2026-03-311180Rocket-Crunch-
178 - 2026-04-021195Rocket-Wolf Pack-
180 - 2026-04-041212Rocket-Comets-
181 - 2026-04-051226Comets-Rocket-
183 - 2026-04-071233Checkers-Rocket-
185 - 2026-04-091248Crunch-Rocket-
187 - 2026-04-111271Monsters-Rocket-
188 - 2026-04-121277Rocket-Sound Tigers-
190 - 2026-04-141294Rocket-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance65,71144,354
Assistance PCT91.27%92.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
17 4586 - 91.72% 140,409$3,369,804$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,314,856$ 2,027,900$ 2,027,900$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,061,022$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,386,944$ 95 13,098$ 1,244,310$




Rocket 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

Rocket 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

Rocket 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

Rocket 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

Rocket 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