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Connexion

Caroline
GP: 30 | W: 8 | L: 19 | OTL: 3 | P: 19
GF: 116 | GA: 177 | PP%: 15.63% | PK%: 59.43%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #501 vs Phantoms

Centre de jeu
Monsters
19-11-1, 39pts
8
FINAL
2 Caroline
8-19-3, 19pts
Team Stats
W6SéquenceL3
7-6-0Fiche domicile5-9-2
12-5-1Fiche domicile3-10-1
9-1-0Derniers 10 matchs3-7-0
4.42Buts par match 3.87
3.32Buts contre par match 5.90
26.37%Pourcentage en avantage numérique15.63%
79.27%Pourcentage en désavantage numérique59.43%
Caroline
8-19-3, 19pts
3
FINAL
6 Bears
15-15-1, 31pts
Team Stats
L3SéquenceW1
5-9-2Fiche domicile7-9-1
3-10-1Fiche domicile8-6-0
3-7-0Derniers 10 matchs4-5-1
3.87Buts par match 4.32
5.90Buts contre par match 3.90
15.63%Pourcentage en avantage numérique36.78%
59.43%Pourcentage en désavantage numérique71.43%
Caroline
8-19-3, 19pts
2025-12-13
Phantoms
21-7-1, 43pts
Statistiques d’équipe
L3SéquenceW2
5-9-2Fiche domicile12-5-1
3-10-1Fiche visiteur9-2-0
3-7-010 derniers matchs8-2-0
3.87Buts par match 4.79
5.90Buts contre par match 4.79
15.63%Pourcentage en avantage numérique44.29%
59.43%Pourcentage en désavantage numérique83.87%
Phantoms
21-7-1, 43pts
2025-12-14
Caroline
8-19-3, 19pts
Statistiques d’équipe
W2SéquenceL3
12-5-1Fiche domicile5-9-2
9-2-0Fiche visiteur3-10-1
8-2-010 derniers matchs3-7-0
4.79Buts par match 3.87
3.48Buts contre par match 3.87
44.29%Pourcentage en avantage numérique15.63%
83.87%Pourcentage en désavantage numérique59.43%
Caroline
8-19-3, 19pts
2025-12-17
Jayhawks
7-22-1, 15pts
Statistiques d’équipe
L3SéquenceL4
5-9-2Fiche domicile4-13-1
3-10-1Fiche visiteur3-9-0
3-7-010 derniers matchs1-9-0
3.87Buts par match 3.30
5.90Buts contre par match 3.30
15.63%Pourcentage en avantage numérique19.72%
59.43%Pourcentage en désavantage numérique51.35%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
116
3.87 GFG
Tirs pour
643
21.43 Avg
Pourcentage en avantage numérique
15.6%
10 GF
Début de zone offensive
28.2%
Buts contre
177
5.90 GAA
Tirs contre
794
26.47 Avg
Pourcentage en désavantage numérique
59.4%%
43 GA
Début de la zone défensive
32.3%
Informations de l'équipe

Directeur généralOlivier Pinho
DivisionWest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,938
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 50
Espoirs16


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
Rayé
1Austin WatsonX100.0069715366747476664363626665876705066N0321620,000$
2Vinnie HinostrozaXX100.0061417773687977675264646368836905066N0302620,000$
3Alex Barré-BouletXX100.0062437073637369686265636668645205065N0272620,000$
4Nikolai Kovalenko (R)X100.0072407871687568674068646567525005065N0241620,000$
5Ben Jones (R)X100.0070487473717371665561606467605305064N0251620,000$
6Charles HudonXXX100.0058466369607171674565616466655605063N0301620,000$
7John LeonardX100.00614273706168676744636362675450050630262700,000$
8Kole Lind (R)X100.00585358696269676646656162665450050620251900,000$
9Pavol Regenda (R)X100.00624762617067656444625855615350050600241950,000$
10Antti Saarela (R)X100.00554167626257545440515154565150050540231620,000$
11Justin Janicke (R)X100.00373737373737373737373737373737050380213620,000$
12Patrice BergeronX100.001920202020181819201818201920200502203933,799,999$
13Matthew Kessel (R)X100.00634279728281696840646069675950050670241883,750$
14Dennis CholowskiX100.0056407870767673684066626567686105066N0262620,000$
15Gustav Lindström (R)X100.0066437270707470634059596964705405065N0251620,000$
16Logan Mailloux (R)X100.00665059667064626640636467655050050630212875,000$
17Ilya Solovyov (R)XHO6643686569656363406056686152500506202400$
18Robin SaloX100.00544271666462595939565061595350050590251700,000$
MOYENNE D’ÉQUIPE100.0059446464646663614358566061575105059
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
Rayé
1Ales Stezka100.0071666766686870666869635651050620271620,000$
2Henrik Tikkanen (R)100.0068636370676669666666575250050610242823,750$
3Carl Lindbom (R)100.0069606264656668646766575150050600213840,000$
4Ryan Fanti (R)100.0060545360575757555757505350050530251883,750$
MOYENNE D’ÉQUIPE100.006761616564646663656557535005059
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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
Ales StezkaCaroline (Car)G271997-01-06CZENo203 Lbs6 ft5NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Alex Barré-BouletCaroline (Car)C/RW271997-05-21CANNo181 Lbs5 ft10YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Antti SaarelaCaroline (Car)C232001-06-27FINYes183 Lbs5 ft11NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Austin WatsonCaroline (Car)LW321992-01-13USANo198 Lbs6 ft4YesNoFree Agent2024-01-19YesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Ben JonesCaroline (Car)C251999-02-26CANYes187 Lbs6 ft0YesNoFree AgentYesYes12025-09-21FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Carl LindbomCaroline (Car)G212003-05-20SWEYes183 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm840,000$0$0$No840,000$840,000$-------840,000$840,000$-------NoNo-------Lien
Charles HudonCaroline (Car)C/LW/RW301994-06-23CANNo190 Lbs5 ft10YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Dennis CholowskiCaroline (Car)D261998-02-15CANNo210 Lbs6 ft2YesNoFree AgentYesYes22025-09-14FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Gustav LindströmCaroline (Car)D251998-10-20SWEYes183 Lbs6 ft2YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Henrik TikkanenCaroline (Car)G242000-09-28FINYes201 Lbs6 ft8NoNoProspectNoYes22024-06-25FalseFalsePro & Farm823,750$0$0$No823,750$--------823,750$--------No--------Lien
Ilya SolovyovCaroline (Car)D242000-07-20BELYes207 Lbs6 ft3NoNoN/ANoYes0FalseFalsePro & Farm0$0$No---------------------------Lien
John Leonard (contrat à 1 volet)Caroline (Car)LW261998-08-07USANo183 Lbs5 ft11NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Justin JanickeCaroline (Car)LW212003-06-30USAYes184 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Kole LindCaroline (Car)RW251998-10-16CANYes179 Lbs6 ft1NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Logan MaillouxCaroline (Car)D212003-04-15CANYes212 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Lien
Matthew KesselCaroline (Car)D242000-06-23USAYes205 Lbs6 ft2NoNoTrade2025-09-18NoYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Lien
Nikolai KovalenkoCaroline (Car)RW241999-10-17USAYes180 Lbs5 ft10YesNoFree AgentNoYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Patrice Bergeron (contrat à 1 volet)Caroline (Car)C391985-07-24CANNo196 Lbs6 ft1NoNoAssign ManuallyYesYes32024-06-26FalseFalsePro & Farm3,799,999$2,879,999$1,880,207$No3,799,999$3,799,999$-------3,799,999$3,799,999$-------NoNo-------Lien
Pavol RegendaCaroline (Car)LW241999-12-07SLVYes212 Lbs6 ft4NoNoTrade2025-09-18NoYes12024-09-28FalseFalsePro & Farm950,000$0$0$No---------------------------Lien
Robin SaloCaroline (Car)D251998-10-13FINNo185 Lbs6 ft0NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm700,000$0$0$No---------------------------Lien
Ryan FantiCaroline (Car)G251999-10-03CANYes194 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Lien
Vinnie HinostrozaCaroline (Car)C/RW301994-04-03USANo183 Lbs5 ft10YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.82193 Lbs6 ft11.50826,193$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Admirals1000010056-1000000000001000010056-110.500510150028434412118120424812311189100.00%5180.00%018943543.45%19649939.28%26961144.03%721487591275498215
2Bears20100001711-41000000145-11010000036-310.25071320002843441481812042481252213128500.00%8275.00%018943543.45%19649939.28%26961144.03%721487591275498215
3Bruins2110000068-2000000000002110000068-220.50061117002843441451812042481268271828400.00%9277.78%118943543.45%19649939.28%26961144.03%721487591275498215
4Comets1010000039-61010000039-60000000000000.0003690028434412318120424812318818200.00%4250.00%018943543.45%19649939.28%26961144.03%721487591275498215
5Crunch220000001284110000008621100000042241.0001222340028434413718120424812289202512216.67%10460.00%018943543.45%19649939.28%26961144.03%721487591275498215
6Heat10001000651100010006510000000000021.0006121800284344128181204248123212810100.00%4325.00%018943543.45%19649939.28%26961144.03%721487591275498215
7Jayhawks11000000541110000005410000000000021.000591400284344122181204248121686153133.33%30100.00%018943543.45%19649939.28%26961144.03%721487591275498215
8Las Vegas220000001174110000005321100000064241.000112031002843441411812042481234124194125.00%2150.00%018943543.45%19649939.28%26961144.03%721487591275498215
9Marlies20200000916-71010000057-21010000049-500.000918270028434414818120424812571236235120.00%8625.00%018943543.45%19649939.28%26961144.03%721487591275498215
10Minnesota20200000612-61010000037-41010000035-200.00061117002843441311812042481232118203266.67%40100.00%018943543.45%19649939.28%26961144.03%721487591275498215
11Monarchs1010000045-1000000000001010000045-100.000481200284344116181204248121781210300.00%6350.00%118943543.45%19649939.28%26961144.03%721487591275498215
12Monsters1010000028-61010000028-60000000000000.00024600284344124181204248123910611100.00%3233.33%018943543.45%19649939.28%26961144.03%721487591275498215
13Monsters1010000025-3000000000001010000025-300.00024600284344113181204248122612418200.00%3166.67%018943543.45%19649939.28%26961144.03%721487591275498215
14Oceanics20200000617-111010000038-51010000039-600.00061218002843441411812042481272249316400.00%9455.56%018943543.45%19649939.28%26961144.03%721487591275498215
15Oil Kings1010000046-21010000046-20000000000000.000481200284344130181204248123078215400.00%10100.00%018943543.45%19649939.28%26961144.03%721487591275498215
16Phantoms1000010056-11000010056-10000000000010.50051015002843441341812042481231967000%30100.00%018943543.45%19649939.28%26961144.03%721487591275498215
17Sags20200000414-101010000016-51010000038-500.000481200284344138181204248125616132011100.00%4250.00%118943543.45%19649939.28%26961144.03%721487591275498215
18Sound Tigers11000000642110000006420000000000021.0006121800284344115181204248122428193266.67%4250.00%118943543.45%19649939.28%26961144.03%721487591275498215
19Spiders1010000024-21010000024-20000000000000.000246102843441171812042481239111013300.00%5180.00%018943543.45%19649939.28%26961144.03%721487591275498215
20Stars10100000411-70000000000010100000411-700.000481200284344125181204248123876718200.00%6516.67%018943543.45%19649939.28%26961144.03%721487591275498215
21Wolf Pack20200000711-41010000056-11010000025-300.00071421002843441461812042481241201014100.00%5260.00%018943543.45%19649939.28%26961144.03%721487591275498215
Total3071901201116177-611649011016794-2714310001004983-34190.31711622434010284344164318120424812794257495346641015.63%1064359.43%418943543.45%19649939.28%26961144.03%721487591275498215
_Since Last GM Reset3071901201116177-611649011016794-2714310001004983-34190.31711622434010284344164318120424812794257495346641015.63%1064359.43%418943543.45%19649939.28%26961144.03%721487591275498215
_Vs Conference1256010005367-14733010003440-6523000001927-8120.50053100153002843441250181204248122678624414833618.18%371656.76%018943543.45%19649939.28%26961144.03%721487591275498215

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3019L311622434064379425749534610
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
307191201116177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
164911016794
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1431001004983
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
641015.63%1064359.43%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
181204248122843441
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
18943543.45%19649939.28%26961144.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
721487591275498215


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
3 - 2025-10-0914Spiders4Caroline2LSommaire du match
5 - 2025-10-1130Phantoms6Caroline5LXSommaire du match
8 - 2025-10-1455Caroline3Sags8LSommaire du match
10 - 2025-10-1670Caroline5Admirals6LXSommaire du match
12 - 2025-10-1886Caroline4Monarchs5LSommaire du match
14 - 2025-10-2097Caroline6Las Vegas4WSommaire du match
17 - 2025-10-23121Caroline2Monsters5LSommaire du match
19 - 2025-10-25138Caroline4Stars11LSommaire du match
22 - 2025-10-28155Las Vegas3Caroline5WSommaire du match
24 - 2025-10-30171Sound Tigers4Caroline6WSommaire du match
26 - 2025-11-01181Caroline2Bruins5LSommaire du match
29 - 2025-11-04206Caroline2Wolf Pack5LSommaire du match
31 - 2025-11-06222Minnesota7Caroline3LSommaire du match
33 - 2025-11-08238Crunch6Caroline8WSommaire du match
34 - 2025-11-09246Caroline4Marlies9LSommaire du match
36 - 2025-11-11259Bears5Caroline4LXXSommaire du match
39 - 2025-11-14280Comets9Caroline3LSommaire du match
40 - 2025-11-15289Oil Kings6Caroline4LSommaire du match
42 - 2025-11-17301Caroline4Bruins3WSommaire du match
44 - 2025-11-19317Caroline3Minnesota5LSommaire du match
46 - 2025-11-21333Caroline3Oceanics9LSommaire du match
48 - 2025-11-23347Caroline4Crunch2WSommaire du match
51 - 2025-11-26368Wolf Pack6Caroline5LSommaire du match
53 - 2025-11-28387Oceanics8Caroline3LSommaire du match
55 - 2025-11-30404Heat5Caroline6WXSommaire du match
59 - 2025-12-04431Marlies7Caroline5LSommaire du match
61 - 2025-12-06447Jayhawks4Caroline5WSommaire du match
62 - 2025-12-07455Sags6Caroline1LSommaire du match
64 - 2025-12-09471Monsters8Caroline2LSommaire du match
66 - 2025-12-11485Caroline3Bears6LSommaire du match
68 - 2025-12-13501Caroline-Phantoms-
69 - 2025-12-14510Phantoms-Caroline-
72 - 2025-12-17532Caroline-Jayhawks-
74 - 2025-12-19544Caroline-Cabaret Lady Mary Ann-
75 - 2025-12-20557Caroline-Thunder-
78 - 2025-12-23581Cabaret Lady Mary Ann-Caroline-
82 - 2025-12-27593Cougars-Caroline-
84 - 2025-12-29608Wolf Pack-Caroline-
85 - 2025-12-30619Caroline-Manchots-
87 - 2026-01-01636Rocket-Caroline-
89 - 2026-01-03653Monsters-Caroline-
90 - 2026-01-04660Caroline-Spiders-
92 - 2026-01-06671Stars-Caroline-
94 - 2026-01-08688Admirals-Caroline-
96 - 2026-01-10706Firebirds-Caroline-
98 - 2026-01-12717Caroline-Cougars-
99 - 2026-01-13730Caroline-Chiefs-
102 - 2026-01-16750Cabaret Lady Mary Ann-Caroline-
103 - 2026-01-17759Caroline-Spiders-
105 - 2026-01-19770Crunch-Caroline-
108 - 2026-01-22796Baby Hawks-Caroline-
110 - 2026-01-24813Caroline-Senators-
115 - 2026-01-29851Roadrunners-Caroline-
117 - 2026-01-31864Caroline-Bears-
118 - 2026-02-01874Monarchs-Caroline-
120 - 2026-02-03890Senators-Caroline-
122 - 2026-02-05906Caroline-Wolf Pack-
143 - 2026-02-26923Thunder-Caroline-
145 - 2026-02-28942Cougars-Caroline-
147 - 2026-03-02957Caroline-Firebirds-
149 - 2026-03-04972Caroline-Comets-
151 - 2026-03-06986Caroline-Oil Kings-
152 - 2026-03-07998Caroline-Heat-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
155 - 2026-03-101018Manchots-Caroline-
157 - 2026-03-121033Chiefs-Caroline-
159 - 2026-03-141049Caroline-Thunder-
162 - 2026-03-171070Caroline-Monsters-
163 - 2026-03-181078Manchots-Caroline-
165 - 2026-03-201094Caroline-Marlies-
167 - 2026-03-221112Caroline-Manchots-
169 - 2026-03-241121Caroline-Rocket-
173 - 2026-03-281157Spiders-Caroline-
174 - 2026-03-291169Rocket-Caroline-
176 - 2026-03-311185Caroline-Monsters-
178 - 2026-04-021197Monsters-Caroline-
180 - 2026-04-041214Sound Tigers-Caroline-
181 - 2026-04-051225Caroline-Senators-
183 - 2026-04-071237Bruins-Caroline-
185 - 2026-04-091255Caroline-Baby Hawks-
187 - 2026-04-111269Caroline-Roadrunners-
189 - 2026-04-131284Caroline-Phantoms-
190 - 2026-04-141293Caroline-Sound Tigers-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance31,35715,652
Assistance PCT97.99%97.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-13 2938 - 97.94% 89,344$1,429,498$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
481,953$ 1,367,625$ 1,367,625$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,086$ 481,953$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,233,591$ 126 7,086$ 892,836$




Caroline 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

Caroline 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

Caroline 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

Caroline 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

Caroline 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