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Connexion

Caroline
GP: 82 | W: 43 | L: 35 | OTL: 4 | P: 90
GF: 270 | GA: 270 | PP%: 25.75% | PK%: 81.04%
DG: Olivier Pinho | Morale : 50 | Moyenne d’équipe : 58
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Centre de jeu
Cougars
47-29-6, 100pts
3
FINAL
4 Caroline
43-35-4, 90pts
Team Stats
W1StreakW4
20-18-3Home Record24-16-1
27-11-3Away Record19-19-3
6-4-0Last 10 Games6-4-0
4.11Buts par match 3.29
3.66Buts contre par match 3.29
20.08%Pourcentage en avantage numérique25.75%
72.16%Pourcentage en désavantage numérique81.04%
Caroline
43-35-4, 90pts
6
FINAL
1 Cabaret Lady Mary Ann
1-80-1, 3pts
Team Stats
W4StreakL14
24-16-1Home Record0-40-1
19-19-3Away Record1-40-0
6-4-0Last 10 Games0-10-0
3.29Buts par match 2.41
3.29Buts contre par match 5.94
25.75%Pourcentage en avantage numérique17.57%
81.04%Pourcentage en désavantage numérique73.95%
Meneurs d'équipe
Buts
Dominik Kahun
30
Passes
Jordan Oesterle
46
Points
Jordan Oesterle
68
Plus/Moins
Zack Hayes
17
Victoires
Marcus Hogberg
27
Pourcentage d’arrêts
Keith Kinkaid
0.964

Statistiques d’équipe
Buts pour
270
3.29 GFG
Tirs pour
2907
35.45 Avg
Pourcentage en avantage numérique
25.8%
60 GF
Début de zone offensive
39.7%
Buts contre
270
3.29 GAA
Tirs contre
2967
36.18 Avg
Pourcentage en désavantage numérique
81.0%%
51 GA
Début de la zone défensive
40.8%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,886
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 50
Espoirs7


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 moyen
1Matty Beniers (R)X100.00694299826674498174787564254444050660184897,500$
2Dominik KahunXX100.00584197826458746051576660246262050610261925,000$
3Ross JohnstonXX100.00939963689156536025635765255555050600271850,000$
4Kole LindX100.00714286676661676137725965254646050600222900,000$
5Gemel SmithXXX100.00767482727450486176536267595656050590274720,000$
6Lias AnderssonXX100.00774482787157595948555760755757050590222925,000$
7Lukas VejdemoXXX100.00777289717260615974565765544545050590252700,000$
8John LeonardXX100.00734399726659786344575864255050050590231925,000$
9Linus WeissbachX100.00706385636356556050566061574444050560235560,000$
10Jonathan Gruden (R)X100.00666471636457585350515157484444050530213788,333$
11Krystof Hrabik (R)XXX100.00808176658141394961474663444444050520221600,000$
12Antti Saarela (R)X100.00464099676660774751365043535454050500202600,000$
13Logan StanleyX100.008891787389687357255547842556570506802321,000,000$
14Jordan OesterleX100.006742967767767062255048772565650506502951,100,000$
15Otto LeskinenX100.00757491736769665528534165374444050600242600,000$
16Robin SaloX100.00614193686970596625544869254545050600222700,000$
17Zack HayesX100.00768067708055584625374061384444050560223600,000$
18Jacob Paquette (R)X100.00505380597555813225332548275454050500221600,000$
Rayé
1Alan QuineXX100.00797392757350486278645469515556050600281750,000$
2Sami NikuX100.00654194756667577625704772255252050630241600,000$
3Ilya Solovyov (R)X100.00807786647749504625354163394444050550212600,000$
MOYENNE D’ÉQUIPE100.0071618671725961584454526438505105059
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 moyen
1Keith Kinkaid100.0051445576545351565453306161050550321612,500$
2Adam Werner (R)100.0046445586464650534848304444050510262600,000$
Rayé
MOYENNE D’ÉQUIPE100.004944558150505155515130535305053
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
1Jordan OesterleCaroline (Car)D78224668-6320801321796811112.29%154193424.80101222851760113214200.00%000100.7000000535
2Dominik KahunCaroline (Car)LW/RW783038682408160317902259.46%18177922.81911204216410182255044.60%70400010.7626000233
3Kole LindCaroline (Car)RW7823446711280103125241621839.54%16162220.80410143816501151973037.69%13000100.8345000442
4John LeonardCaroline (Car)LW/RW7825406513200621062437819110.29%11125016.0346102270000093138.75%8000101.0400000175
5Gemel SmithCaroline (Car)C/LW/RW7826356134951141622527417210.32%17145918.71513184316500061365256.59%129000010.8412010325
6Ross JohnstonCaroline (Car)LW/RW78233356-886031593242721909.50%17158220.29513183216300031044029.23%19500000.7124000342
7Lukas VejdemoCaroline (Car)C/LW/RW78173350-322067146235701577.23%14149919.233811441640000342057.45%69100000.6711000002
8Robin SaloCaroline (Car)D78113849-42006185144511087.64%113164721.1361420591650003196100.00%000000.5900000211
9Lias AnderssonCaroline (Car)C/LW78182644-618070193245731497.35%11147418.904592511310171164247.48%166400000.6003000122
10Linus WeissbachCaroline (Car)LW7819234201606091193571069.84%12131516.8700010000003142.88%61100000.6411000402
11Otto LeskinenCaroline (Car)D7872532-65402156711329566.19%89164721.124711581630001186310.00%100000.3900000322
12Krystof HrabikCaroline (Car)C/LW/RW78121224248014992108246211.11%15115414.81000180000650250.35%86800000.4200000011
13Zack HayesCaroline (Car)D78715221786101763645163015.56%72110214.1400011500006300.00%000000.4000002020
14Logan StanleyCaroline (Car)D2711920324097293822152.63%4955020.3801113011170000.00%000000.7300000021
15Ilya SolovyovCaroline (Car)D516101616140671335102017.14%5674214.5700000000044010.00%000000.4300000002
16Jonathan GrudenCaroline (Car)LW78325-20018112742211.11%02383.06101435000000037.84%7400000.4200000000
17Jacob PaquetteCaroline (Car)D780224202867340.00%257679.84000169000050000.00%000000.0500000000
18Antti SaarelaCaroline (Car)C77022-1201258170.00%02282.9700002000050047.17%26500000.1800000000
19Alan QuineCaroline (Car)C/LW1011100054330.00%02121.1801112000020057.14%2100000.9400000000
20Matty BeniersCaroline (Car)C27000000001000.00%030.110000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne1353250444694365251516911577267780718119.34%6892202216.28551011564581651235371666381049.01%659400320.631122012283335
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
1Marcus HogbergCaroline50272110.9123.0628616214616610320.750164928713
2Akira SchmidCaroline28151120.9063.18164402879210010.7147280311
3Keith KinkaidCaroline (Car)11000.9641.0060001280000.00%010000
4Adam WernerCaroline (Car)40000.9442.07145005900000.00%0050000
Statistiques d’équipe totales ou en moyenne83433230.9113.0447116423927000332378781024


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 Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam Werner (contrat à 1 volet)Caroline (Car)G261995-01-01Yes202 Lbs6 ft5NoNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Alan Quine (contrat à 1 volet)Caroline (Car)C/LW281993-02-25No203 Lbs6 ft0NoNoYes1Pro & Farm750,000$0$0$NoLien
Antti SaarelaCaroline (Car)C202001-06-27Yes187 Lbs5 ft11YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Dominik Kahun (contrat à 1 volet)Caroline (Car)LW/RW261995-07-02No175 Lbs5 ft11NoNoYes1Pro & Farm925,000$25,000$0$NoLien
Gemel Smith (contrat à 1 volet)Caroline (Car)C/LW/RW271994-04-16No203 Lbs5 ft10NoNoYes4Pro & Farm720,000$0$0$No720,000$720,000$720,000$Lien
Ilya SolovyovCaroline (Car)D212000-07-20Yes207 Lbs6 ft3YesNoNo2Pro & Farm600,000$0$0$No600,000$Lien
Jacob PaquetteCaroline (Car)D221999-05-26Yes201 Lbs6 ft3YesNoNo1Pro & Farm600,000$0$0$NoLien
John LeonardCaroline (Car)LW/RW231998-08-07No183 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$NoLien
Jonathan GrudenCaroline (Car)LW212000-05-04Yes172 Lbs6 ft0NoNoNo3Pro & Farm788,333$0$0$No788,333$788,333$Lien
Jordan Oesterle (contrat à 1 volet)Caroline (Car)D291992-06-25No182 Lbs6 ft0NoNoYes5Pro & Farm1,100,000$200,000$0$No1,100,000$1,100,000$1,100,000$1,100,000$Lien
Keith Kinkaid (contrat à 1 volet)Caroline (Car)G321989-07-03No186 Lbs6 ft3NoNoYes1Pro & Farm612,500$0$0$NoLien
Kole LindCaroline (Car)RW221998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Krystof HrabikCaroline (Car)C/LW/RW221999-07-24Yes216 Lbs6 ft4YesNoNo1Pro & Farm600,000$0$0$NoLien
Lias AnderssonCaroline (Car)C/LW221998-10-13No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Linus WeissbachCaroline (Car)LW231998-04-19No176 Lbs5 ft10NoNoNo5Pro & Farm560,000$0$0$No560,000$560,000$560,000$560,000$Lien
Logan StanleyCaroline (Car)D231998-05-25No228 Lbs6 ft7NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien
Lukas VejdemoCaroline (Car)C/LW/RW251996-01-25No194 Lbs6 ft2NoNoYes2Pro & Farm700,000$0$0$No700,000$Lien
Matty BeniersCaroline (Car)C182002-11-05Yes174 Lbs6 ft2NoNoNo4Pro & Farm897,500$0$0$No897,500$897,500$897,500$
Otto LeskinenCaroline (Car)D241997-02-06No187 Lbs5 ft11YesNoYes2Pro & Farm600,000$0$0$No600,000$Lien
Robin SaloCaroline (Car)D221998-10-13No187 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Ross Johnston (contrat à 1 volet)Caroline (Car)LW/RW271994-02-18No235 Lbs6 ft5NoNoYes1Pro & Farm850,000$0$0$NoLien
Sami NikuCaroline (Car)D241996-10-10No176 Lbs6 ft1YesNoYes1Pro & Farm600,000$0$0$NoLien
Zack HayesCaroline (Car)D221999-04-24No218 Lbs6 ft3YesNoNo3Pro & Farm600,000$0$0$No600,000$600,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2323.87194 Lbs6 ft12.17745,797$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunGemel SmithKole Lind40122
2Ross JohnstonLias AnderssonLukas Vejdemo30122
3John LeonardKrystof HrabikLinus Weissbach20122
4Linus WeissbachAntti SaarelaDominik Kahun10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleLogan Stanley40122
2Otto LeskinenRobin Salo30122
3Zack HayesJacob Paquette20122
4Jacob PaquetteJordan Oesterle10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dominik KahunGemel SmithKole Lind60122
2Ross JohnstonLias AnderssonLukas Vejdemo40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleJacob Paquette60122
2Otto LeskinenRobin Salo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunKole Lind60122
2Ross JohnstonGemel Smith40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleLogan Stanley60122
2Otto LeskinenRobin Salo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominik Kahun60122Jordan OesterleJacob Paquette60122
2Kole Lind40122Otto LeskinenRobin Salo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominik KahunKole Lind60122
2Ross JohnstonGemel Smith40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan OesterleZack Hayes60122
2Otto LeskinenRobin Salo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunGemel SmithKole LindJordan OesterleLogan Stanley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dominik KahunGemel SmithKole LindJordan OesterleLogan Stanley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jonathan Gruden, John Leonard, Krystof HrabikJonathan Gruden, John LeonardKrystof Hrabik
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Hayes, Jordan Oesterle, Jacob PaquetteZack HayesJordan Oesterle, Jacob Paquette
Tirs de pénalité
Dominik Kahun, Kole Lind, Ross Johnston, Gemel Smith, Lias Andersson
Gardien
#1 : Keith Kinkaid, #2 : Adam Werner


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
1Admirals21100000761110000004221010000034-120.5007142100948880147996798593344671114418112.50%5260.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
2Baby Hawks21000010844110000004131000001043141.0008132100948880146196798593344652210436116.67%5180.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
3Bears30201000510-52010100035-21010000025-320.3335914009488801474967985933441053518758112.50%9188.89%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
4Bruins32100000101002110000067-11100000043140.66710192910948880149196798593344933318666233.33%8275.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
5Cabaret Lady Mary Ann33000000173141100000070722000000103761.000173047019488801417596798593344993418844125.00%90100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
6Chiefs220000001165110000004131100000075241.0001119300094888014749679859334460814379333.33%70100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
7Chill211000001174110000006151010000056-120.50011182900948880148096798593344963716582150.00%80100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
8Comets211000007521010000023-11100000052320.5007132000948880146496798593344712914516233.33%70100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
9Cougars3210000010100110000004312110000067-140.667101727009488801411896798593344963126638450.00%11190.91%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
10Crunch30100011913-41000000123-120100010710-330.500913220094888014102967985933441173524808112.50%12283.33%11386277250.00%1300284945.63%664135948.86%1964134819236021072537
11Heat22000000954110000004311100000052341.0009152400948880148196798593344501912394250.00%6266.67%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
12Jayhawks2010010069-31010000024-21000010045-110.250691500948880148696798593344651120475120.00%9455.56%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
13Las Vegas2110000078-1110000005411010000024-220.50071219109488801410396798593344722210389444.44%5260.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
14Manchots42200000911-22110000046-22110000055040.500918270194888014141967985933441322618971317.69%9277.78%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
15Marlies31200000911-2211000006511010000036-320.33391625119488801487967985933449831246810550.00%10370.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
16Minnesota2110000067-1110000003121010000036-320.5006101600948880147296798593344672418454125.00%9366.67%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
17Monarchs22000000963110000004311100000053241.0009172600948880148296798593344741729438225.00%11190.91%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
18Monsters31200000711-41010000025-32110000056-120.33371421009488801412796798593344993987413323.08%4250.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
19Monsters2020000048-41010000013-21010000035-200.000471100948880145396798593344861718635120.00%8187.50%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
20Oceanics21000010725100000103211100000040441.00071219019488801481967985933444411105210330.00%50100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
21Oil Kings2010100038-5100010003211010000006-620.5003580094888014599679859334488281739500.00%50100.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
22Phantoms4210010014113211000006332100010088050.62514253900948880141399679859334414033208717423.53%10280.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
23Rocket31100010972100000102112110000076140.66791524009488801499967985933441182424645240.00%12191.67%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
24Seattle21100000410-6110000003121010000019-820.5004711009488801472967985933441052710338337.50%5180.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
25Senators32001000853220000005321000100032161.0008142200948880147896798593344982520639222.22%10190.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
26Sharks20100100911-21010000034-11000010067-110.2509182700948880148096798593344122196535120.00%2150.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
27Sound Tigers413000001115-42110000067-12020000058-320.25011223300948880141149679859334414147381059333.33%14285.71%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
28Spiders412000101316-32110000056-120100010810-240.5001323360094888014135967985933441524934929222.22%16568.75%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
29Stars211000008711010000046-21100000041320.500813210094888014569679859334481211650300.00%8275.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
30Thunder312000001011-1211000008801010000023-120.3331018280094888014101967985933441033130698112.50%15473.33%11386277250.00%1300284945.63%664135948.86%1964134819236021072537
31Wolf Pack413000001317-42020000059-42110000088020.2501323360094888014143967985933441634930969222.22%15380.00%01386277250.00%1300284945.63%664135948.86%1964134819236021072537
Total823535033512702700412016020211261121441151901330144158-14900.5492704787483494888014290796798593344296784558419152336025.75%2695181.04%21386277250.00%1300284945.63%664135948.86%1964134819236021072537
_Since Last GM Reset823535033512702700412016020211261121441151901330144158-14900.5492704787483494888014290796798593344296784558419152336025.75%2695181.04%21386277250.00%1300284945.63%664135948.86%1964134819236021072537
_Vs Conference3416120113111811081584010115036141988001206874-6420.61811819831611948880141275967985933441240352251776892629.21%1182083.05%11386277250.00%1300284945.63%664135948.86%1964134819236021072537

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290W427047874829072967845584191534
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8235353351270270
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120162021126112
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115191330144158
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
2336025.75%2695181.04%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
9679859334494888014
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
1386277250.00%1300284945.63%664135948.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1964134819236021072537


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
6 - 2022-10-126Monsters5Caroline2BLSommaire du match
8 - 2022-10-1424Caroline6Sharks7ALXSommaire du match
11 - 2022-10-1747Caroline1Seattle9ALSommaire du match
14 - 2022-10-2069Caroline0Oil Kings6ALSommaire du match
16 - 2022-10-2286Caroline5Heat2AWSommaire du match
18 - 2022-10-2497Caroline5Comets2AWSommaire du match
22 - 2022-10-28124Sound Tigers4Caroline5BWSommaire du match
23 - 2022-10-29132Caroline3Phantoms4ALXSommaire du match
25 - 2022-10-31145Bears3Caroline0BLSommaire du match
28 - 2022-11-03162Caroline2Thunder3ALSommaire du match
29 - 2022-11-04175Crunch3Caroline2BLXXSommaire du match
31 - 2022-11-06191Marlies5Caroline3BLSommaire du match
34 - 2022-11-09207Caroline4Cabaret Lady Mary Ann2AWSommaire du match
35 - 2022-11-10212Oil Kings2Caroline3BWXSommaire du match
37 - 2022-11-12233Caroline3Monsters5ALSommaire du match
39 - 2022-11-14246Caroline4Baby Hawks3AWXXSommaire du match
42 - 2022-11-17261Monsters3Caroline1BLSommaire du match
44 - 2022-11-19283Caroline3Minnesota6ALSommaire du match
46 - 2022-11-21294Caroline4Oceanics0AWSommaire du match
48 - 2022-11-23304Jayhawks4Caroline2BLSommaire du match
50 - 2022-11-25318Caroline4Bruins3AWSommaire du match
51 - 2022-11-26333Heat3Caroline4BWSommaire du match
54 - 2022-11-29352Caroline3Manchots2AWSommaire du match
56 - 2022-12-01369Caroline7Chiefs5AWSommaire du match
58 - 2022-12-03391Caroline5Monarchs3AWSommaire du match
61 - 2022-12-06410Caroline3Admirals4ALSommaire du match
65 - 2022-12-10440Caroline4Sound Tigers5ALSommaire du match
68 - 2022-12-13460Caroline4Cougars3AWSommaire du match
70 - 2022-12-15475Seattle1Caroline3BWSommaire du match
72 - 2022-12-17487Stars6Caroline4BLSommaire du match
73 - 2022-12-18498Manchots0Caroline2BWSommaire du match
75 - 2022-12-20512Spiders4Caroline2BLSommaire du match
77 - 2022-12-22526Caroline2Manchots3ALSommaire du match
78 - 2022-12-23535Phantoms2Caroline1BLSommaire du match
82 - 2022-12-27548Baby Hawks1Caroline4BWSommaire du match
85 - 2022-12-30575Cabaret Lady Mary Ann0Caroline7BWSommaire du match
87 - 2023-01-01590Caroline6Spiders5AWXXSommaire du match
89 - 2023-01-03600Caroline4Wolf Pack3AWSommaire du match
91 - 2023-01-05614Chill1Caroline6BWSommaire du match
93 - 2023-01-07629Caroline2Monsters4ALSommaire du match
96 - 2023-01-10650Spiders2Caroline3BWSommaire du match
98 - 2023-01-12662Caroline3Monsters2AWSommaire du match
100 - 2023-01-14682Manchots6Caroline2BLSommaire du match
101 - 2023-01-15692Comets3Caroline2BLSommaire du match
105 - 2023-01-19721Minnesota1Caroline3BWSommaire du match
107 - 2023-01-21739Caroline1Sound Tigers3ALSommaire du match
111 - 2023-01-25769Caroline4Stars1AWSommaire du match
113 - 2023-01-27783Sharks4Caroline3BLSommaire du match
115 - 2023-01-29799Bruins5Caroline3BLSommaire du match
117 - 2023-01-31802Monarchs3Caroline4BWSommaire du match
118 - 2023-02-01805Caroline2Crunch6ALSommaire du match
128 - 2023-02-11841Wolf Pack5Caroline3BLSommaire du match
131 - 2023-02-14855Caroline2Bears5ALSommaire du match
133 - 2023-02-16871Rocket1Caroline2BWXXSommaire du match
135 - 2023-02-18889Bears2Caroline3BWXSommaire du match
138 - 2023-02-21911Chiefs1Caroline4BWSommaire du match
141 - 2023-02-24933Senators1Caroline2BWSommaire du match
142 - 2023-02-25939Admirals2Caroline4BWSommaire du match
146 - 2023-03-01972Caroline2Las Vegas4ALSommaire du match
148 - 2023-03-03986Caroline4Jayhawks5ALXSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2023-03-051001Thunder5Caroline3BLSommaire du match
152 - 2023-03-071012Caroline5Rocket1AWSommaire du match
154 - 2023-03-091030Phantoms1Caroline5BWSommaire du match
156 - 2023-03-111046Las Vegas4Caroline5BWSommaire du match
157 - 2023-03-121056Caroline2Spiders5ALSommaire du match
159 - 2023-03-141068Oceanics2Caroline3BWXXSommaire du match
162 - 2023-03-171092Caroline3Marlies6ALSommaire du match
163 - 2023-03-181099Caroline5Phantoms4AWSommaire du match
166 - 2023-03-211120Caroline4Wolf Pack5ALSommaire du match
168 - 2023-03-231138Wolf Pack4Caroline2BLSommaire du match
170 - 2023-03-251161Marlies0Caroline3BWSommaire du match
171 - 2023-03-261166Bruins2Caroline3BWSommaire du match
173 - 2023-03-281179Thunder3Caroline5BWSommaire du match
175 - 2023-03-301195Caroline2Cougars4ALSommaire du match
177 - 2023-04-011207Caroline2Rocket5ALSommaire du match
178 - 2023-04-021219Sound Tigers3Caroline1BLSommaire du match
180 - 2023-04-041232Senators2Caroline3BWSommaire du match
182 - 2023-04-061250Caroline5Chill6ALSommaire du match
184 - 2023-04-081257Caroline5Crunch4AWXXSommaire du match
186 - 2023-04-101277Caroline3Senators2AWXSommaire du match
187 - 2023-04-111288Cougars3Caroline4BWSommaire du match
189 - 2023-04-131299Caroline6Cabaret Lady Mary Ann1AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3212
Assistance77,98040,335
Assistance PCT95.10%98.38%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2886 - 96.19% 72,668$2,979,380$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,621,644$ 2,867,333$ 2,867,333$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,091$ 1,621,644$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 15,091$ 0$




Caroline 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

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 (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