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Connexion

Crunch
GP: 1 | W: 0 | L: 0 | OTL: 1 | P: 1
GF: 0 | GA: 1 | PP%: 0.00% | PK%: 100.00%
DG: Benoit Gagné | Morale : 50 | Moyenne d’équipe : N/A
Prochains matchs #23 vs Stars
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Centre de jeu
Flames
2-0-0, 4pts
1
FINAL
0 Crunch
0-0-1, 1pts
Team Stats
W2StreakSOL1
0-0-0Home Record0-0-1
2-0-0Away Record0-0-0
2-0-0Last 10 Games0-0-1
3.00Buts par match 0.00
0.50Buts contre par match 1.00
20.00%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique100.00%
Stars
1-1-0, 2pts
2022-10-14
Crunch
0-0-1, 1pts
Statistiques d’équipe
W1SéquenceSOL1
0-1-0Fiche domicile0-0-1
1-0-0Fiche visiteur0-0-0
1-1-010 derniers matchs0-0-1
2.50Buts par match 0.00
2.50Buts contre par match 0.00
33.33%Pourcentage en avantage numérique0.00%
82.35%Pourcentage en désavantage numérique100.00%
Crunch
0-0-1, 1pts
2022-10-16
Senators
1-0-0, 2pts
Statistiques d’équipe
SOL1SéquenceW1
0-0-1Fiche domicile1-0-0
0-0-0Fiche visiteur0-0-0
0-0-110 derniers matchs1-0-0
0.00Buts par match 3.00
1.00Buts contre par match 3.00
0.00%Pourcentage en avantage numérique20.00%
100.00%Pourcentage en désavantage numérique83.33%
Senators
1-0-0, 2pts
2022-10-17
Crunch
0-0-1, 1pts
Statistiques d’équipe
W1SéquenceSOL1
1-0-0Fiche domicile0-0-1
0-0-0Fiche visiteur0-0-0
1-0-010 derniers matchs0-0-1
3.00Buts par match 0.00
1.00Buts contre par match 0.00
20.00%Pourcentage en avantage numérique0.00%
83.33%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Alexander Barabanov
0
Passes
Alexander Barabanov
0
Points
Alexander Barabanov
0
Plus/Moins
Alexander Barabanov
0
Victoires
Jaroslav Halak
0
Pourcentage d’arrêts
Jaroslav Halak
1

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
15
15.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
36.2%
Buts contre
1
1.00 GAA
Tirs contre
17
17.00 Avg
Pourcentage en désavantage numérique
100.0%
0 GA
Début de la zone défensive
46.6%
Informations de l'équipe

Directeur généralBenoit Gagné
EntraîneurPhil Housley
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,592
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure19
Limite contact 51 / 60
Espoirs13


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
1Alexander Barabanov0XX100.007142938068767475258066672555557150002833,500,000$
2Justin Danforth (R)0XX100.00844492736463566571597370254848715000293750,000$
3Zemgus Girgensons (R)0XXX100.007956857478685767676271802573737250002832,200,000$
4Cedric Paquette0XX100.008970718274536861525855815371766550002921,650,000$
5Jason Zucker0XX100.008157887669686569336772654172747150003011,000,000$
6Kyle Palmieri0XX100.007653778368728674367173646375787250003111,000,000$
7Nate Thompson0XX100.008065746976626459885656842579836450003711,000,000$
8Patric Hornqvist0X100.008254907768638076367170662580847250003511,000,000$
9Tomas Tatar0XX100.007543908565688974386572615975777250003111,000,000$
10Evan Rodrigues0XXX100.007643948166728478617474687567687550002933,000,000$
11Nick Ritchie0X100.009258797584638371256572612567697150002611,000,000$
12Noel Acciari0XXX100.008978847474626059817068762564677150003031,250,000$
13Brandon Carlo0X100.008356888481797958254949892569726550002522,850,000$
14Callan Foote0X100.00804584798462745925504869255555615000231850,000$
15Colin Miller6X100.007858847973776970256548772568686550002933,400,000$
16Marc Staal18X100.007845887878728960255348832584846450003522,000,000$
17Michael Stone0X100.00894688767972506425676077256969695000323750,000$
18Nathan Beaulieu0X100.007199718078565556255247812567676050002911,000,000$
Rayé
1A.J. Greer0X100.00874692647651705956606062254646635000251750,000$
2Bokondji Imama0X100.00668326668365704950464756454444515000261706,667$
3Zachary Gallant (R)0X100.00717267617250515063494659444444535000232786,667$
4Mitchell Stephens0X100.00714390726959515579675577255353645000251919,166$
5Stefan Noesen0X100.00707557747572737250637468705959705000293750,000$
6Tyler Ennis0XX100.00774290855863697357736665617577705000323900,000$
7Oliver Wahlstrom0X100.007959728077628469386271604158596950002211,462,500$
8Arnaud Durandeau (R)0X100.00736786676759596150585963564444625000232756,667$
9Gerald Mayhew0XX100.008043866258646968345379642557577050002911,000,000$
10Peter Abbandonato (R)0X100.00776996656955555670604864464444585000242950,000$
11Philip Broberg (R)0X100.006342898374625763254848722546466050002141,713,333$
12Nicolas Beaudin0X100.006663726663687448254040573846465150002211,135,833$
MOYENNE D’ÉQUIPE100.0078578175726569644560617037626366500
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
1Jaroslav Halak100.00685356657859836971688373756950003723,000,000$
2Joonas Korpisalo100.00616564786556796365619161626550002822,800,000$
Rayé
MOYENNE D’ÉQUIPE100.006559607272588166686587676967500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Phil Housley78778085858063USA5832,000,000$


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
1Alexander BarabanovCrunch (TBL)LW/RW1000000002000.00%01616.5700012000010016.57400000.00%01000000
2Justin DanforthCrunch (TBL)C/RW1000000001000.00%088.700000000002000.00%000000.00%00000000
3Zemgus GirgensonsCrunch (TBL)C/LW/RW1000000323140.00%02121.1800012000060021.182700000.00%00000000
4Brandon CarloCrunch (TBL)D1000020100020.00%12222.080000000006000.00%000000.00%00000000
5Cedric PaquetteCrunch (TBL)C/LW1000000201010.00%01010.1300000000030010.13200000.00%00000000
6Callan FooteCrunch (TBL)D1000020000000.00%01919.950000200005000.00%000000.00%00000000
7Colin MillerCrunch (TBL)D1000020000010.00%02323.000000300005000.00%000000.00%00000000
8Jason ZuckerCrunch (TBL)LW/RW1000000101010.00%01414.520000000000000.00%000000.00%00000000
9Kyle PalmieriCrunch (TBL)LW/RW1000000122100.00%01717.850000300000000.00%100000.00%00000000
10Marc StaalCrunch (TBL)D1000020211110.00%32323.920001200006000.00%000000.00%00000000
11Michael StoneCrunch (TBL)D1000020110000.00%12020.600000300002000.00%000000.00%00000000
12Nate ThompsonCrunch (TBL)C/LW1000000031000.00%01414.9800000000050014.981200000.00%00000000
13Nathan BeaulieuCrunch (TBL)D1000020000000.00%01515.220000000001000.00%000000.00%00000000
14Patric HornqvistCrunch (TBL)RW1000000020010.00%01313.9800003000000013.98100000.00%00000000
15Tomas TatarCrunch (TBL)LW/RW1000020210110.00%01515.770000200000000.00%100000.00%01000000
16Evan RodriguesCrunch (TBL)C/LW/RW1000000021010.00%01717.8000002000000017.801400000.00%01000000
17Nick RitchieCrunch (TBL)LW1000020101100.00%066.720000000000000.00%000000.00%00000000
18Noel AcciariCrunch (TBL)C/LW/RW1000000011000.00%01616.850000000006000.00%100000.00%00000000
Statistiques d’équipe totales ou en moyenne1800001601415155130.00%529916.660003290000530055.56%6300000.0003000000
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
1Jaroslav HalakCrunch (TBL)10011.0000.00%65010170000.667310100
Statistiques d’équipe totales ou en moyenne10011.0000.006501017000310100


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 restantSalaire moyenSalaire 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
A.J. GreerCrunch (TBL)LW251996-12-14No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$729,452$750,000$729,452$0$0$NoLien
Alexander BarabanovCrunch (TBL)LW/RW281994-06-16No192 Lbs5 ft10YesNoNo3Pro & Farm3,500,000$3,404,110$3,500,000$3,404,110$0$0$No3,500,000$3,500,000$Lien
Arnaud DurandeauCrunch (TBL)LW231999-01-14Yes183 Lbs6 ft0NoNoNo2Pro & Farm756,667$735,936$756,667$735,936$0$0$No756,667$Lien
Bokondji ImamaCrunch (TBL)LW261996-08-02No221 Lbs6 ft1NoNoNo1Pro & Farm706,667$687,306$706,667$687,306$0$0$NoLien
Brandon CarloCrunch (TBL)D251996-11-25No212 Lbs6 ft5NoNoNo2Pro & Farm2,850,000$2,771,918$2,850,000$2,771,918$0$0$No2,850,000$Lien
Callan FooteCrunch (TBL)D231998-12-12No227 Lbs6 ft4NoNoNo1Pro & Farm850,000$826,712$850,000$826,712$0$0$NoLien
Cedric PaquetteCrunch (TBL)C/LW291993-08-12No204 Lbs6 ft0NoNoNo2Pro & Farm1,650,000$1,604,795$1,650,000$1,604,795$0$0$No1,650,000$Lien
Colin MillerCrunch (TBL)D291992-10-29No199 Lbs6 ft1YesNoNo3Pro & Farm3,400,000$3,306,849$3,400,000$3,306,849$0$0$No3,400,000$3,400,000$Lien
Evan RodriguesCrunch (TBL)C/LW/RW291993-07-28No184 Lbs5 ft11YesNoNo3Pro & Farm3,000,000$2,917,808$3,000,000$2,917,808$0$0$No3,000,000$3,000,000$Lien
Gerald MayhewCrunch (TBL)LW/RW291992-12-31No161 Lbs5 ft9YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Jaroslav HalakCrunch (TBL)G371985-05-13No185 Lbs5 ft11YesNoNo2Pro & Farm3,000,000$2,917,808$3,000,000$2,917,808$0$0$No3,000,000$Lien
Jason ZuckerCrunch (TBL)LW/RW301992-01-16No192 Lbs5 ft11NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Joonas KorpisaloCrunch (TBL)G281994-04-27No192 Lbs6 ft3NoNoNo2Pro & Farm2,800,000$2,723,288$2,800,000$2,723,288$0$0$No2,800,000$Lien
Justin DanforthCrunch (TBL)C/RW291993-03-15Yes181 Lbs5 ft9YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Kyle PalmieriCrunch (TBL)LW/RW311991-02-01No185 Lbs5 ft11YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Marc StaalCrunch (TBL)D351987-01-12No209 Lbs6 ft4NoNoNo2Pro & Farm2,000,000$1,945,205$2,000,000$1,945,205$0$0$No2,000,000$Lien
Michael StoneCrunch (TBL)D321990-06-07No210 Lbs6 ft3YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Mitchell StephensCrunch (TBL)C251997-02-05No190 Lbs5 ft11NoNoNo1Pro & Farm919,166$893,983$919,166$893,983$0$0$NoLien
Nate ThompsonCrunch (TBL)C/LW371984-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Nathan BeaulieuCrunch (TBL)D291992-12-05No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Nick RitchieCrunch (TBL)LW261995-12-05No234 Lbs6 ft2YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Nicolas BeaudinCrunch (TBL)D221999-10-07No174 Lbs5 ft11NoNoNo1Pro & Farm1,135,833$1,104,714$1,135,833$1,104,714$0$0$NoLien
Noel AcciariCrunch (TBL)C/LW/RW301991-12-01No209 Lbs5 ft10YesNoNo3Pro & Farm1,250,000$1,215,753$1,250,000$1,215,753$0$0$No1,250,000$1,250,000$Lien
Oliver WahlstromCrunch (TBL)RW222000-06-13No205 Lbs6 ft2NoNoNo1Pro & Farm1,462,500$1,422,432$1,462,500$1,422,432$0$0$NoLien
Patric HornqvistCrunch (TBL)RW351987-01-01No189 Lbs5 ft11YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Peter AbbandonatoCrunch (TBL)C241998-03-25Yes194 Lbs5 ft11NoNoNo2Pro & Farm950,000$923,973$950,000$923,973$0$0$No950,000$Lien
Philip BrobergCrunch (TBL)D212001-06-25Yes199 Lbs6 ft3NoNoNo4Pro & Farm1,713,333$1,666,392$1,713,333$1,666,392$0$0$No1,713,333$1,713,333$1,713,333$
Stefan NoesenCrunch (TBL)RW291993-02-12No205 Lbs6 ft1YesNoNo3Pro & Farm750,000$729,452$750,000$729,452$0$0$No750,000$750,000$Lien
Tomas TatarCrunch (TBL)LW/RW311990-11-30No182 Lbs5 ft10YesNoNo1Pro & Farm1,000,000$972,603$1,000,000$972,603$0$0$NoLien
Tyler EnnisCrunch (TBL)LW/RW321989-10-06No161 Lbs5 ft9YesNoNo3Pro & Farm900,000$875,342$900,000$875,342$0$0$No900,000$900,000$Lien
Zachary GallantCrunch (TBL)C231999-03-06Yes194 Lbs6 ft2NoNoNo2Pro & Farm786,667$765,114$786,667$765,114$0$0$No786,667$Lien
Zemgus GirgensonsCrunch (TBL)C/LW/RW281994-01-05Yes212 Lbs6 ft2YesNoNo3Pro & Farm2,200,000$2,139,726$2,200,000$2,139,726$0$0$No2,200,000$2,200,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.19197 Lbs6 ft11.911,463,464$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovZemgus GirgensonsTomas Tatar30122
2Kyle PalmieriEvan RodriguesJason Zucker30122
3Noel AcciariNate ThompsonPatric Hornqvist25122
4Nick RitchieCedric PaquetteJustin Danforth15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloMarc Staal30122
2Colin MillerMichael Stone30122
3Nathan BeaulieuCallan Foote25122
4Nathan BeaulieuCallan Foote15122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alexander BarabanovEvan RodriguesTomas Tatar60122
2Kyle PalmieriZemgus GirgensonsPatric Hornqvist40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Michael StoneColin Miller60122
2Callan FooteMarc Staal40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Zemgus GirgensonsNoel Acciari60122
2Nate ThompsonCedric Paquette40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloMarc Staal60122
2Colin MillerCallan Foote40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nate Thompson60122Brandon CarloMarc Staal60122
2Cedric Paquette40122Colin MillerMichael Stone40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Evan RodriguesTomas Tatar60122
2Nate ThompsonPatric Hornqvist40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brandon CarloMarc Staal60122
2Colin MillerMichael Stone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alexander BarabanovEvan RodriguesTomas TatarColin MillerMarc Staal
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Zemgus GirgensonsNate ThompsonNoel AcciariBrandon CarloMichael Stone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jason Zucker, Alexander Barabanov, Tomas TatarEvan Rodrigues, Noel AcciariZemgus Girgensons
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marc Staal, Michael Stone, Nathan BeaulieuColin MillerBrandon Carlo, Callan Foote
Tirs de pénalité
Evan Rodrigues, Tomas Tatar, Alexander Barabanov, Patric Hornqvist, Kyle Palmieri
Gardien
#1 : Jaroslav Halak, #2 : Joonas Korpisalo
Lignes d’attaque personnalisées en prolongation
Evan Rodrigues, Kyle Palmieri, Tomas Tatar, Patric Hornqvist, Jason Zucker, Zemgus Girgensons, Zemgus Girgensons, Nick Ritchie, Alexander Barabanov, Noel Acciari, Cedric Paquette
Lignes de défense personnalisées en prolongation
Michael Stone, Marc Staal, Colin Miller, Brandon Carlo, Callan Foote


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
1Flames1000000101-11000000101-10000000000010.5000000000001536541751614300.00%80100.00%0122157.14%202774.07%31030.00%2719256126
Total1000000101-11000000101-10000000000010.5000000000001536541751614300.00%80100.00%0122157.14%202774.07%31030.00%2719256126
_Since Last GM Reset1000000101-11000000101-10000000000010.5000000000001536541751614300.00%80100.00%0122157.14%202774.07%31030.00%2719256126
_Vs Conference1000000101-11000000101-10000000000010.5000000000001536541751614300.00%80100.00%0122157.14%202774.07%31030.00%2719256126

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
11SOL100015175161400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
100000101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
100000101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
300.00%80100.00%0
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
36540000
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
122157.14%202774.07%31030.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2719256126


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 - 2022-10-1111Flames1Crunch0BLXXSommaire du match
6 - 2022-10-1423Stars-Crunch-
8 - 2022-10-1638Crunch-Senators-
9 - 2022-10-1746Senators-Crunch-
11 - 2022-10-1955Crunch-Wolf Pack-
12 - 2022-10-2065Crunch-Bruins-
13 - 2022-10-2169Crunch-Rocket-
14 - 2022-10-2281Senators-Crunch-
17 - 2022-10-2597Crunch-Penguins-
18 - 2022-10-26104Marlies-Crunch-
21 - 2022-10-29120Sharks-Crunch-
23 - 2022-10-31134Bruins-Crunch-
24 - 2022-11-01143Crunch-Senators-
25 - 2022-11-02150Crunch-Phantoms-
28 - 2022-11-05164Stars-Crunch-
29 - 2022-11-06170Crunch-Penguins-
32 - 2022-11-09186Crunch-Penguins-
33 - 2022-11-10191Bruins-Crunch-
36 - 2022-11-13206Senators-Crunch-
38 - 2022-11-15211Crunch-Phantoms-
41 - 2022-11-18218Crunch-Soldiers-
43 - 2022-11-20235Wolves-Crunch-
45 - 2022-11-22242Crunch-Rampage-
46 - 2022-11-23254Rocket-Crunch-
48 - 2022-11-25266Crunch-Rocket-
49 - 2022-11-26275Flames-Crunch-
51 - 2022-11-28289Crunch-Marlies-
52 - 2022-11-29297Flames-Crunch-
54 - 2022-12-01311Crunch-IceHogs-
56 - 2022-12-03322Wolves-Crunch-
58 - 2022-12-05330Crunch-Wolf Pack-
60 - 2022-12-07341Marlies-Crunch-
61 - 2022-12-08352Crunch-Phantoms-
63 - 2022-12-10361Crunch-Monsters-
66 - 2022-12-13371Penguins-Crunch-
67 - 2022-12-14386Crunch-Senators-
68 - 2022-12-15393Sharks-Crunch-
69 - 2022-12-16404Crunch-Moose-
72 - 2022-12-19416Crunch-Bruins-
73 - 2022-12-20418Marlies-Crunch-
76 - 2022-12-23439Monsters-Crunch-
77 - 2022-12-24450Crunch-Marlies-
80 - 2022-12-27461Phantoms-Crunch-
81 - 2022-12-28470Crunch-Condors-
84 - 2022-12-31481Wolves-Crunch-
86 - 2023-01-02495Crunch-Senators-
88 - 2023-01-04505Monarchs-Crunch-
90 - 2023-01-06518Senators-Crunch-
92 - 2023-01-08528Crunch-Wolf Pack-
94 - 2023-01-10538Crunch-Monsters-
95 - 2023-01-11545Bruins-Crunch-
98 - 2023-01-14550Crunch-Bruins-
99 - 2023-01-15565Stars-Crunch-
103 - 2023-01-19579Crunch-Marlies-
105 - 2023-01-21589Monsters-Crunch-
106 - 2023-01-22598Crunch-Admirals-
109 - 2023-01-25611Penguins-Crunch-
112 - 2023-01-28627Crunch-Flames-
113 - 2023-01-29635Sound Tigers-Crunch-
116 - 2023-02-01647Crunch-Sharks-
117 - 2023-02-02655Marlies-Crunch-
120 - 2023-02-05668Crunch-Rocket-
122 - 2023-02-07678Sharks-Crunch-
125 - 2023-02-10694Crunch-Penguins-
126 - 2023-02-11700Wolf Pack-Crunch-
127 - 2023-02-12706Crunch-IceHogs-
131 - 2023-02-16723Griffins-Crunch-
132 - 2023-02-17730Crunch-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
135 - 2023-02-20746Rocket-Crunch-
139 - 2023-02-24755Crunch-Sound Tigers-
141 - 2023-02-26769Flames-Crunch-
145 - 2023-03-02787Monsters-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance1,724868
Assistance PCT86.20%86.80%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
35 2592 - 86.40% 80,696$80,696$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
183,100$ 4,683,084$ 4,683,084$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 128,304$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,824,360$ 142 45,775$ 6,500,050$




Crunch 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

Crunch 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

Crunch 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

Crunch 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

Crunch 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