Connexion

Crunch
GP: 18 | W: 5 | L: 12 | OTL: 1 | P: 11
GF: 41 | GA: 64 | PP%: 11.67% | PK%: 62.26%
DG: Simon Bonneau | Morale : 50 | Moyenne d’équipe : 67
Prochain matchs #302 vs Reign
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Centre de jeu
Bears
10-9-1, 21pts
4
FINAL
3 Crunch
5-12-1, 11pts
Team Stats
L2StreakL2
5-4-0Home Record3-5-1
5-5-1Away Record2-7-0
5-5-0Last 10 Games3-6-1
3.40Buts par match 2.28
3.30Buts contre par match 3.56
21.92%Pourcentage en avantage numérique11.67%
76.92%Pourcentage en désavantage numérique62.26%
Crunch
5-12-1, 11pts
1
FINAL
4 Barracuda
7-9-2, 16pts
Team Stats
L2StreakW2
3-5-1Home Record3-6-1
2-7-0Away Record4-3-1
3-6-1Last 10 Games2-6-2
2.28Buts par match 2.94
3.56Buts contre par match 3.56
11.67%Pourcentage en avantage numérique26.67%
62.26%Pourcentage en désavantage numérique79.69%
Reign
9-9-1, 19pts
2022-11-28
Crunch
5-12-1, 11pts
Statistiques d’équipe
W1SéquenceL2
4-4-1Fiche domicile3-5-1
5-5-0Fiche visiteur2-7-0
6-4-010 derniers matchs3-6-1
3.05Buts par match 2.28
3.63Buts contre par match 3.56
12.68%Pourcentage en avantage numérique11.67%
76.62%Pourcentage en désavantage numérique62.26%
Crunch
5-12-1, 11pts
2022-12-02
Gulls
12-6-0, 24pts
Statistiques d’équipe
L2SéquenceL1
3-5-1Fiche domicile6-3-0
2-7-0Fiche visiteur6-3-0
3-6-110 derniers matchs7-3-0
2.28Buts par match 3.89
3.56Buts contre par match 3.22
11.67%Pourcentage en avantage numérique31.37%
62.26%Pourcentage en désavantage numérique80.28%
Silver Knights
7-9-3, 17pts
2022-12-03
Crunch
5-12-1, 11pts
Statistiques d’équipe
L3SéquenceL2
3-4-2Fiche domicile3-5-1
4-5-1Fiche visiteur2-7-0
4-4-210 derniers matchs3-6-1
3.74Buts par match 2.28
4.42Buts contre par match 3.56
24.29%Pourcentage en avantage numérique11.67%
67.03%Pourcentage en désavantage numérique62.26%
Meneurs d'équipe
Buts
Isac Lundestrom
3
Passes
Isac Lundestrom
8
Points
Isac Lundestrom
11
Plus/Moins
Isac Lundestrom
0
Victoires
Jack LaFontaine
3
Pourcentage d’arrêts
Jack LaFontaine
0.912

Statistiques d’équipe
Buts pour
41
2.28 GFG
Tirs pour
603
33.50 Avg
Pourcentage en avantage numérique
11.7%
7 GF
Début de zone offensive
42.0%
Buts contre
64
3.56 GAA
Tirs contre
604
33.56 Avg
Pourcentage en désavantage numérique
62.3%
20 GA
Début de la zone défensive
39.9%
Information d’équipe

Directeur généralSimon Bonneau
EntraîneurDany Dube
DivisionATLANTIQUE
ConférenceEST
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,058
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure21
Limite contact 48 / 55
Espoirs17


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
1Mathieu Perreault0X100.007334926570798267696667656881740507103412,515,000$
2Dmytro Timashov0XX97.008637896470878465596362666869670507002631,092,000$
3John Leonard0X100.006236856672848667636765596866640506902411,137,500$
4Gabriel Dumont0X99.00625374626980836173656661637277050680322909,000$
5Stefan Matteau0X100.00784479598278665771605864566870050670282850,000$
6Kyle Criscuolo0X100.006335776669837663746759566470720506703011,183,000$
7Lane Pederson0X100.00683681627482796076626159636667050670253700,000$
8Pierre-Cedric Labrie0XX97.00804372538969845457555659557678050660351750,000$
9Dennis Yan0X100.00683476547781835552565758546567050640252846,000$
10Brandon Gignac0XX100.005736926166827659636058576165670506402531,392,000$
11Pavel Gogolev0X100.006337926072716258625960565962640506302221,700,000$
12Carson Focht0X100.00633771586973745763565554586264050620222883,333$
13Noah Juulsen0X100.00793687638183795930665967506567050700254937,500$
14Libor Hajek0X100.007131846685807463306459675364660506902441,092,656$
15Jacob Moverare0X100.007239916085827659306256654964660506802441,228,000$
16Trevor Carrick0X100.00664173587572905730605659466870050650281750,000$
17Robbie Russo0X100.00643787597369935830645357466971050650292850,000$
18Chris Bigras0X100.00673987587666715730565554466769050630271891,000$
Rayé
1Nathan Schnarr (R)0X100.00737079687067715468574661444444050620231894,167$
2Alexandre Fortin0X100.00623793577178665653545552576567050620252700,000$
3Chad Yetman0X100.00593691586869635651575453566264050610221750,000$
4Kale Clague0X70.07613681697285776730735960526466050690244961,652$
5Jack Dougherty0X100.00613894598061685630545254456668050620262862,000$
MOYENNE D’ÉQUIPE98.3968398461757777595261585956666705066
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
1Christopher Gibson100.00757170847473757473757470840507602921,464,000$
2Jack LaFontaine100.00707170816968706968706964710507202411,000,000$
Rayé
1Veini Vehvilainen100.00708280716968706968706967710507202521,300,000$
2Hugo Alnefelt100.0065727376646365646365646165050670213925,000$
MOYENNE D’ÉQUIPE100.007074737869687069687069667305072
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dany Dube75757575757575CAN5640$


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
1Gabriel DumontCrunch (TAM)C187512-300245367175410.45%034819.3812320520000281249.42%43100000.6901000011
2Isac LundestromLightningsC/RW1538110608647014484.29%627918.6401114370000200053.81%39400000.7901000000
3Pavel GogolevCrunch (TAM)LW18381142012204112247.32%230116.77101524000010076.19%2100000.7300000001
4Libor HajekCrunch (TAM)D1417814020252111164.76%1528020.031121322000019100.00%000000.5700000011
5John LeonardCrunch (TAM)LW11448-3005234715388.51%321519.610118230000180035.29%1700000.7411000000
6Noah JuulsenCrunch (TAM)D18178220045293215213.13%2540922.761121555000031000.00%000000.3900000000
7Mathieu PerreaultCrunch (TAM)C852714020193852013.16%215219.12101613000191057.86%15900000.9200000100
8Lane PedersonCrunch (TAM)C18617-92021245342811.32%930917.201125350004271054.25%15300000.4501000011
9Robbie RussoCrunch (TAM)D1624616081621669.52%1232620.41112104400007000.00%000000.3700000001
10Kyle CriscuoloCrunch (TAM)C9066320811101190.00%211713.06011216000000042.11%1900001.0200000000
11Jacob MoverareCrunch (TAM)D18145-10403019143197.14%2331017.24011318000026000.00%000000.3200000000
12Chris BigrasCrunch (TAM)D18134-1180227167156.25%2236420.25000938000030000.00%000000.2200000010
13Dennis YanCrunch (TAM)LW18134-6603112169186.25%124513.6300017000010125.00%1200000.3300000100
14Brandon GignacCrunch (TAM)LW/RW15224-220115276247.41%120913.94000518000000030.00%1000000.3800000000
15Nathan SchnarrCrunch (TAM)C16033-6402436155140.00%320312.71000422000000045.53%23500000.3001000000
16Stefan MatteauCrunch (TAM)C1811206032303813272.63%025814.350006290000340048.31%8900000.1501000001
17Trevor CarrickCrunch (TAM)D13112112030131210138.33%1228221.70000129000019000.00%000000.1400000000
18Jack DoughertyCrunch (TAM)D9022-140446230.00%1116117.9500003000015000.00%000000.2500000000
19Dmytro TimashovCrunch (TAM)LW/RW3022-240117154100.00%07324.55022413000030031.25%1600000.5400000000
20Pierre-Cedric LabrieCrunch (TAM)LW/RW18022-2605210236220.00%431517.51011126000030059.09%2200000.1300000000
21Carson FochtCrunch (TAM)C12101-1407512268.33%0675.6100000000001053.13%3200000.3000000000
22Alexandre FortinCrunch (TAM)LW101011000020050.00%010.160001000000000.00%0000012.9000000000
23Chad YetmanCrunch (TAM)RW9000-100154160.00%0657.3300005000000033.33%300000.0000000000
24Kale ClagueCrunch (TAM)D2000-100113030.00%12512.520002400011000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne3244175116-4410604174486031784446.80%154532516.447132013554400063015350.96%161300000.4416000246
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
1Jack LaFontaineCrunch (TAM)103410.9123.2751441283180000.667688110
2Christopher GibsonCrunch (TAM)102700.8813.7850800322680000.000099100
3Veini VehvilainenCrunch (TAM)10100.8333.0060003180000.000011000
Statistiques d’équipe totales ou en moyenne2151210.8963.49108341636040000.66761818210


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 moyenPlafond 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
Alexandre FortinCrunch (TAM)LW251997-02-25No184 Lbs6 ft0NoNoNo2Pro & Farm700,000$538,172$0$0$No700,000$Lien
Brandon GignacCrunch (TAM)LW/RW251997-11-07No170 Lbs5 ft11NoNoNo3Pro & Farm1,392,000$1,070,193$650,000$0$0$No1,392,000$1,392,000$Lien
Carson FochtCrunch (TAM)C222000-02-04No180 Lbs6 ft0NoNoNo2Pro & Farm883,333$679,121$883,333$0$0$No883,333$Lien
Chad YetmanCrunch (TAM)RW222000-02-18No179 Lbs5 ft11NoNoNo1Pro & Farm750,000$576,612$700,000$0$0$NoLien
Chris BigrasCrunch (TAM)D271995-02-22No191 Lbs6 ft1NoNoNo1Pro & Farm891,000$685,016$863,000$0$0$NoLien
Christopher GibsonCrunch (TAM)G291992-12-27No217 Lbs6 ft2NoNoNo2Pro & Farm1,464,000$1,125,548$0$0$No1,464,000$Lien
Dennis YanCrunch (TAM)LW251997-04-14No197 Lbs6 ft1NoNoNo2Pro & Farm846,000$650,419$525,000$0$0$No846,000$Lien
Dmytro TimashovCrunch (TAM)LW/RW261996-10-01No198 Lbs5 ft10NoNoNo3Pro & Farm1,092,000$839,548$650,000$0$0$No1,092,000$1,092,000$Lien
Gabriel DumontCrunch (TAM)C321990-10-06No195 Lbs5 ft10NoNoNo2Pro & Farm909,000$698,854$0$0$No909,000$Lien
Hugo AlnefeltCrunch (TAM)G212001-06-04No177 Lbs6 ft2NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Jack DoughertyCrunch (TAM)D261996-05-25No196 Lbs6 ft2NoNoNo2Pro & Farm862,000$662,720$650,000$0$0$No862,000$Lien
Jack LaFontaineCrunch (TAM)G241998-01-06No204 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$768,817$700,000$0$0$NoLien
Jacob MoverareCrunch (TAM)D241998-08-31No210 Lbs6 ft3NoNoNo4Pro & Farm1,228,000$944,107$1,132,400$0$0$No1,228,000$1,228,000$1,228,000$Lien
John LeonardCrunch (TAM)LW241998-08-07No196 Lbs5 ft11NoNoNo1Pro & Farm1,137,500$874,529$1,137,500$0$0$NoLien
Kale Clague (sur la masse salariale)Crunch (TAM)D241998-06-05No190 Lbs6 ft0NoNoNo4Pro & Farm961,652$739,334$952,075$0$0$Yes961,652$961,652$961,652$Lien
Kyle CriscuoloCrunch (TAM)C301992-05-05No175 Lbs5 ft9NoNoNo1Pro & Farm1,183,000$909,510$650,000$0$0$NoLien
Lane PedersonCrunch (TAM)C251997-08-04No192 Lbs6 ft0NoNoNo3Pro & Farm700,000$538,172$650,000$0$0$No700,000$700,000$Lien
Libor HajekCrunch (TAM)D241998-02-04No206 Lbs6 ft3NoNoNo4Pro & Farm1,092,656$840,052$650,000$0$0$No1,092,656$1,092,656$1,092,656$Lien
Mathieu PerreaultCrunch (TAM)C341988-01-05No189 Lbs5 ft10NoNoNo1Pro & Farm2,515,000$1,933,575$0$0$NoLien
Nathan SchnarrCrunch (TAM)C231999-02-25Yes181 Lbs6 ft3NoNoNo1Pro & Farm894,167$687,450$786,669$0$0$NoLien
Noah JuulsenCrunch (TAM)D251997-04-02No201 Lbs6 ft2NoNoNo4Pro & Farm937,500$720,766$600,000$0$0$No937,500$937,500$937,500$Lien
Pavel GogolevCrunch (TAM)LW222000-02-19No173 Lbs6 ft1NoNoNo2Pro & Farm1,700,000$1,306,989$1,700,000$0$0$No1,700,000$Lien
Pierre-Cedric LabrieCrunch (TAM)LW/RW351986-12-06No226 Lbs6 ft3NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Robbie RussoCrunch (TAM)D291993-02-15No191 Lbs6 ft0NoNoNo2Pro & Farm850,000$653,494$850,000$0$0$No850,000$Lien
Stefan MatteauCrunch (TAM)C281994-02-23No208 Lbs6 ft2NoNoNo2Pro & Farm850,000$653,494$850,000$0$0$No850,000$Lien
Trevor CarrickCrunch (TAM)D281994-07-04No171 Lbs6 ft2NoNoNo1Pro & Farm750,000$576,612$750,000$0$0$NoLien
Veini VehvilainenCrunch (TAM)G251997-02-13No181 Lbs6 ft0NoNoNo2Pro & Farm1,300,000$999,462$1,300,000$0$0$No1,300,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2726.07192 Lbs6 ft12.111,057,919$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmytro TimashovGabriel DumontPierre-Cedric Labrie30122
2Brandon GignacMathieu PerreaultJohn Leonard30122
3Dennis YanLane PedersonPavel Gogolev24122
4Pavel GogolevCarson FochtDmytro Timashov16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenLibor Hajek30122
2Jacob MoverareRobbie Russo30122
3Trevor CarrickChris Bigras24122
4Noah JuulsenLibor Hajek16122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dmytro TimashovGabriel DumontPierre-Cedric Labrie50122
2Brandon GignacLane PedersonDennis Yan50122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenLibor Hajek50122
2Jacob MoverareRobbie Russo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dmytro TimashovGabriel Dumont50122
2Pierre-Cedric LabrieLane Pederson50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenLibor Hajek50122
2Jacob MoverareRobbie Russo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dmytro Timashov50122Noah JuulsenLibor Hajek50122
2Gabriel Dumont50122Jacob MoverareRobbie Russo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dmytro TimashovGabriel Dumont50122
2Pierre-Cedric LabrieLane Pederson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenLibor Hajek50122
2Jacob MoverareRobbie Russo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmytro TimashovGabriel DumontPierre-Cedric LabrieNoah JuulsenLibor Hajek
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dmytro TimashovGabriel DumontPierre-Cedric LabrieNoah JuulsenLibor Hajek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dmytro Timashov, Gabriel Dumont, Dennis YanDmytro Timashov, Gabriel DumontDennis Yan
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Carrick, Chris Bigras, Jacob MoverareTrevor CarrickChris Bigras, Jacob Moverare
Tirs de pénalité
Dmytro Timashov, Gabriel Dumont, Brandon Gignac, Lane Pederson, Pierre-Cedric Labrie
Gardien
#1 : Christopher Gibson, #2 : Jack LaFontaine
Lignes d’attaque personnalisées en prolongation
Dmytro Timashov, Gabriel Dumont, Mathieu Perreault, Lane Pederson, Pierre-Cedric Labrie, Brandon Gignac, Brandon Gignac, Dennis Yan, Pavel Gogolev, Carson Focht, John Leonard
Lignes de défense personnalisées en prolongation
Noah Juulsen, Libor Hajek, Jacob Moverare, Robbie Russo, Trevor Carrick


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
1Americans2110000067-1110000004311010000024-220.5006121800141314173222206170116418104510110.00%5260.00%034567451.19%32764051.09%15028951.90%426286421131237119
2Barracuda1010000014-3000000000001010000014-300.0001230014131413322220617011363414500.00%2150.00%034567451.19%32764051.09%15028951.90%426286421131237119
3Bears1010000034-11010000034-10000000000000.00035800141314142222206170112644175240.00%220.00%034567451.19%32764051.09%15028951.90%426286421131237119
4Binghamton Senateurs20200000410-61010000026-41010000024-200.0004812001413141692222061701168191647500.00%8362.50%034567451.19%32764051.09%15028951.90%426286421131237119
5Checkers21100000550110000003211010000023-120.500510150014131417122220617011712314401119.09%7185.71%034567451.19%32764051.09%15028951.90%426286421131237119
6Griffins30200001513-82010000137-41010000026-410.16759140014131419522220617011104222278300.00%11372.73%034567451.19%32764051.09%15028951.90%426286421131237119
7Iowa Wild1010000015-4000000000001010000015-400.000123001413141302222061701140141032200.00%4175.00%034567451.19%32764051.09%15028951.90%426286421131237119
8Marlies2020000036-31010000023-11010000013-200.00035800141314175222206170114814655800.00%330.00%034567451.19%32764051.09%15028951.90%426286421131237119
9Providence Bruins2110000045-11010000013-21100000032120.5004711001413141582222061701187201240400.00%6350.00%034567451.19%32764051.09%15028951.90%426286421131237119
10Rockets22000000954110000007431100000021141.000915240014131415722220617011601712497342.86%5180.00%034567451.19%32764051.09%15028951.90%426286421131237119
Total18512000014164-23935000012532-7927000001632-16110.30641751160014131416032222061701160415411041760711.67%532062.26%034567451.19%32764051.09%15028951.90%426286421131237119
_Since Last GM Reset18512000014164-23935000012532-7927000001632-16110.30641751160014131416032222061701160415411041760711.67%532062.26%034567451.19%32764051.09%15028951.90%426286421131237119
_Vs Conference16510000013955-16935000012532-7725000001423-9110.3443971110001413141540222206170115281379637153713.21%471861.70%034567451.19%32764051.09%15028951.90%426286421131237119
_Vs Division1559000013651-15834000012228-6725000001423-9110.3673666102001413141498222206170115021339235448510.42%451664.44%034567451.19%32764051.09%15028951.90%426286421131237119

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1811L2417511660360415411041700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1851200014164
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
93500012532
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
92700001632
Derniers 10 matchs
WLOTWOTL SOWSOL
360001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
60711.67%532062.26%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
222206170111413141
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
34567451.19%32764051.09%15028951.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
426286421131237119


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-10-1712Marlies3Crunch2BLSommaire du match
4 - 2022-10-1924Crunch1Marlies3ALSommaire du match
6 - 2022-10-2142Griffins6Crunch3BLSommaire du match
10 - 2022-10-2569Rockets4Crunch7BWSommaire du match
11 - 2022-10-2685Crunch2Binghamton Senateurs4ALSommaire du match
14 - 2022-10-2998Binghamton Senateurs6Crunch2BLSommaire du match
16 - 2022-10-31105Crunch2Checkers3ALSommaire du match
20 - 2022-11-04132Crunch3Providence Bruins2AWSommaire du match
21 - 2022-11-05144Griffins1Crunch0BLXXSommaire du match
24 - 2022-11-08166Americans3Crunch4BWSommaire du match
25 - 2022-11-09177Crunch1Iowa Wild5ALSommaire du match
29 - 2022-11-13199Providence Bruins3Crunch1BLSommaire du match
31 - 2022-11-15210Crunch2Americans4ALSommaire du match
33 - 2022-11-17220Crunch2Griffins6ALSommaire du match
35 - 2022-11-19234Checkers2Crunch3BWSommaire du match
36 - 2022-11-20242Crunch2Rockets1AWSommaire du match
38 - 2022-11-22266Bears4Crunch3BLSommaire du match
43 - 2022-11-27294Crunch1Barracuda4ALSommaire du match
44 - 2022-11-28302Reign-Crunch-
48 - 2022-12-02326Crunch-Gulls-
49 - 2022-12-03335Silver Knights-Crunch-
52 - 2022-12-06361Checkers-Crunch-
53 - 2022-12-07371Crunch-Griffins-
58 - 2022-12-12396Eagles-Crunch-
60 - 2022-12-14415Crunch-Barracuda-
62 - 2022-12-16426Canucks-Crunch-
64 - 2022-12-18441Crunch-islanders-
65 - 2022-12-19457Crunch-Providence Bruins-
67 - 2022-12-21470Providence Bruins-Crunch-
72 - 2022-12-26489Wolf Pack-Crunch-
74 - 2022-12-28504Crunch-Wolves-
77 - 2022-12-31520IceHogs-Crunch-
80 - 2023-01-03540Crunch-Rockets-
83 - 2023-01-06555Barracuda-Crunch-
84 - 2023-01-07569Crunch-Rockets-
87 - 2023-01-10586Checkers-Crunch-
89 - 2023-01-12604Crunch-Binghamton Senateurs-
91 - 2023-01-14618Wranglers-Crunch-
92 - 2023-01-15634Providence Bruins-Crunch-
94 - 2023-01-17653Crunch-Griffins-
97 - 2023-01-20666Crunch-Admirals-
99 - 2023-01-22679Crunch-Phantoms-
100 - 2023-01-23690Binghamton Senateurs-Crunch-
102 - 2023-01-25714Comets-Crunch-
103 - 2023-01-26728Crunch-Comets-
106 - 2023-01-29745Griffins-Crunch-
108 - 2023-01-31767Crunch-Bears-
109 - 2023-02-01772Crunch-Monsters-
110 - 2023-02-02785Gulls-Crunch-
115 - 2023-02-07812Americans-Crunch-
118 - 2023-02-10834Crunch-Condors-
120 - 2023-02-12843Rockets-Crunch-
122 - 2023-02-14858Crunch-Iowa Wild-
123 - 2023-02-15873Rockets-Crunch-
125 - 2023-02-17880Crunch-Providence Bruins-
127 - 2023-02-19895Crunch-Wolf Pack-
128 - 2023-02-20903Crunch-W-B/Scranton Penguins-
130 - 2023-02-22917Moose-Crunch-
132 - 2023-02-24940Wolves-Crunch-
133 - 2023-02-25945Crunch-Roadrunners-
136 - 2023-02-28965Crunch-Gulls-
137 - 2023-03-01976islanders-Crunch-
143 - 2023-03-071003Crunch-Checkers-
145 - 2023-03-091015Marlies-Crunch-
147 - 2023-03-111036Americans-Crunch-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131050Crunch-IceHogs-
150 - 2023-03-141064Crunch-Firebirds-
152 - 2023-03-161074Crunch-Binghamton Senateurs-
153 - 2023-03-171085Phantoms-Crunch-
157 - 2023-03-211106Crunch-Texas Stars-
158 - 2023-03-221116Barracuda-Crunch-
162 - 2023-03-261143Marlies-Crunch-
164 - 2023-03-281162islanders-Crunch-
169 - 2023-04-021192Binghamton Senateurs-Crunch-
171 - 2023-04-041206Crunch-Americans-
173 - 2023-04-061222Monsters-Crunch-
174 - 2023-04-071230Crunch-Marlies-
176 - 2023-04-091243Crunch-Americans-
178 - 2023-04-111260Thunderbirds-Crunch-
181 - 2023-04-141283W-B/Scranton Penguins-Crunch-
182 - 2023-04-151289Crunch-Checkers-
183 - 2023-04-161298Crunch-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3818
Assistance12,0206,498
Assistance PCT66.78%72.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
32 2058 - 68.59% 94,983$854,847$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,856,381$ 1,907,997$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,039,456$ 143 15,357$ 2,196,051$




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