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Crunch
GP: 33 | W: 17 | L: 12 | OTL: 4 | P: 38
GF: 114 | GA: 104 | PP%: 34.06% | PK%: 76.32%
DG: NFHL | Morale : 93 | Moyenne d’équipe : N/A
Prochains matchs #502 vs Mountaineers

Centre de jeu
Crunch
17-12-4, 38pts
6
FINAL
3 Bulldogs
16-12-2, 34pts
Team Stats
W3SéquenceL2
10-3-2Fiche domicile8-7-0
7-9-2Fiche domicile8-5-2
5-3-2Derniers 10 matchs4-6-0
3.45Buts par match 3.37
3.15Buts contre par match 3.13
34.06%Pourcentage en avantage numérique34.65%
76.32%Pourcentage en désavantage numérique73.10%
Bills
13-13-3, 29pts
2
FINAL
4 Crunch
17-12-4, 38pts
Team Stats
L2SéquenceW3
8-5-2Fiche domicile10-3-2
5-8-1Fiche domicile7-9-2
2-5-3Derniers 10 matchs5-3-2
3.72Buts par match 3.45
3.97Buts contre par match 3.15
27.14%Pourcentage en avantage numérique34.06%
68.18%Pourcentage en désavantage numérique76.32%
Crunch
17-12-4, 38pts
Jour 71
Mountaineers
18-9-4, 40pts
Statistiques d’équipe
W3SéquenceW3
10-3-2Fiche domicile10-4-1
7-9-2Fiche visiteur8-5-3
5-3-210 derniers matchs6-4-0
3.45Buts par match 3.68
3.15Buts contre par match 3.68
34.06%Pourcentage en avantage numérique30.77%
76.32%Pourcentage en désavantage numérique72.73%
Octopus
15-12-1, 31pts
Jour 73
Crunch
17-12-4, 38pts
Statistiques d’équipe
SOL1SéquenceW3
9-6-1Fiche domicile10-3-2
6-6-0Fiche visiteur7-9-2
4-5-110 derniers matchs5-3-2
4.25Buts par match 3.45
3.86Buts contre par match 3.45
34.31%Pourcentage en avantage numérique34.06%
73.50%Pourcentage en désavantage numérique76.32%
Crunch
17-12-4, 38pts
Jour 75
Wolves
7-17-6, 20pts
Statistiques d’équipe
W3SéquenceOTL1
10-3-2Fiche domicile3-9-3
7-9-2Fiche visiteur4-8-3
5-3-210 derniers matchs3-3-4
3.45Buts par match 3.33
3.15Buts contre par match 3.33
34.06%Pourcentage en avantage numérique27.82%
76.32%Pourcentage en désavantage numérique65.81%
Meneurs d'équipe
Buts
Andre Lee
15
Passes
Blake Lizotte
24
Points
Blake Lizotte
38
Plus/Moins
Blake Lizotte
4
Victoires
Cayden Primeau
15
Pourcentage d’arrêts
Cayden Primeau
0.895

Statistiques d’équipe
Buts pour
114
3.45 GFG
Tirs pour
853
25.85 Avg
Pourcentage en avantage numérique
34.1%
47 GF
Début de zone offensive
37.4%
Buts contre
104
3.15 GAA
Tirs contre
951
28.82 Avg
Pourcentage en désavantage numérique
76.3%%
27 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralNFHL
EntraîneurRyan Mougenel
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance5,462
Billets de saison800


Informations de la formation

Équipe Pro33
Équipe Mineure21
Limite contact 54 / 65
Espoirs19


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
1Ben MeyersX100.00625091727375906673676667655060082002621,800,000$
2Blake LizotteX100.00705091816579877376687176654960075002731,200,000$
3Curtis LazarX99.0077509365767784697665667665636308900292700,000$
4Reese JohnsonX100.00665087617376886261636271655863084002621,905,000$
5Jesper FastXX99.00705093767379707261696774656872081003312,100,000$
6Miles WoodXX100.00715682747478817161666871655363082002921,170,000$
7Linus KarlssonX100.00715093776877867261676968655055083002521,250,000$
8Andre LeeXXX100.0065568866797691686169677065465508600242771,750$
9Tristan BrozX100.00606060606070706060606060604055073012211,250,000$
10Rasmus KumpulainenX100.0060606060607070606060606060405508001192975,000$
11Cameron Lund (R)XXX100.00606060606070706060606060604655083002031,500,000$
12Matt KierstedX99.0064508970697991632565607365526007900261829,583$
13Alex PetrovicX100.0066508470818190642565627365767406000321850,000$
14Angus BoothX100.0060606060607070606060606060405507601202825,000$
15Hunter MayoX100.0060606060607070606060606060405507600202650,000$
16Grayden SiepmannX100.0060606060607070606060606060405508300202650,000$
17Nate TiveyX100.0060606060607070606060606060405508100202650,000$
18Maveric LamoureuxX99.00626484687683886725686673656550089002021,250,000$
Rayé
1Hunter McKownX100.0060606060607070606060606060405506700221682,500$
2Nicholas AbruzzeseXXX100.0060606060607070606060606060465506800251826,875$
3Antonio StrangesXXX100.0060606060607070606060606060485507700222866,250$
4Tyler BoucherXX100.00606060606070706060606060604255063002111,575,000$
5Brett HarrisonX100.00606060606070706060606060604655066002111,023,750$
6Trevor JanickeXXX100.0060606060607070606060606060405507301241975,000$
7Gunnarwolfe FontaineXXX100.0060606060607070606060606060405508001241750,000$
8Linus NassenX48.0360606060607070606060606060596507100261955,041$
9Chris HeddenX100.0060606060607070606060606060405506900221650,000$
10Dmitriy Simashev (R)X100.00606060606070706060606060604655080001931,500,000$
MOYENNE D’ÉQUIPE98.006357716465737663586362656249580770
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
1Devin Cooley99.0060707060606060606060605364087002731,450,000$
2Yaniv Perets100.006070706060606060606060496008200241682,500$
Rayé
1Cayden Primeau56.725974698372616461595982526306200251850,000$
2Ian Shane100.006070706060606060606060405508200241650,000$
3Alexander Tracy100.006070706060606060606060405508200231800,000$
MOYENNE D’ÉQUIPE91.00607170656260616060606447590790
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Mougenel6565656562671CAN491600,000$


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
1Blake LizotteCrunch (TBL)C30142438438104868115356312.17%1470323.453111412750111631254.81%374268001.0834002332
2Curtis LazarCrunch (TBL)C33121931-52020397777284515.58%2268620.8157128580004273059.97%6171411010.9024103112
3Andre LeeCrunch (TBL)C/LW/RW33151530-21410464480214118.75%964619.58881622920004582256.67%30122010.9322110141
4Jesper FastCrunch (TBL)LW/RW28111425-41010335375315414.67%1056020.02461014580001401150.00%130225100.8900110222
5Miles WoodCrunch (TBL)LW/RW30111324-23315443880283113.75%1350216.7556111656000081053.85%13139010.9612102211
6Calle JarnkrokLightningC10101020455171038101526.32%320220.28561111350000183146.10%14133101.9701010203
7Reese JohnsonCrunch (TBL)C3331417-12754256319139.68%1057417.411675670001300050.43%23259000.5901010010
8Linus KarlssonCrunch (TBL)C3210616-33210353475203813.33%949115.34213516000001147.73%44106000.6511101101
9Maveric LamoureuxCrunch (TBL)D33114153883026414413182.27%6484625.64145791000173000%01822000.3500411000
10Ben MeyersCrunch (TBL)C317714-1095443456142212.50%1553917.4254914600001400158.21%6759000.5200100012
11Linus NassenCrunch (TBL)D2921012-10992548411812711.11%3566322.89246477000046000%0212000.3600122001
12Nate TiveyCrunch (TBL)D31099-14420242614770%2051716.69044459011041000%0211000.3501130100
13Matt KierstedCrunch (TBL)D29178-51210193531993.23%2956219.41044357000257000%0918000.2800002010
14Hunter MayoCrunch (TBL)D19213-21752017102220.00%735618.77202438000033100%0310000.1700001000
15Grayden SiepmannCrunch (TBL)D23123-2335261490411.11%1939617.22000022000035000%0110000.1500010000
16Alex PetrovicCrunch (TBL)D11022-1341061511120%520418.6301101100017000%042000.2000020000
17Gunnarwolfe FontaineCrunch (TBL)C/LW/RW16202-51515131273228.57%117110.740000100000100%122000.2300111000
18Chris HeddenCrunch (TBL)D5011-295795000%69318.6800004000010000%002000.2100001000
19Angus BoothCrunch (TBL)D11011000532000%311610.63011016000011000%022000.1700000000
20Hunter McKownCrunch (TBL)C7000-100110000%0142.1000000000000050.00%20000000000000
21Nicholas AbruzzeseCrunch (TBL)C/LW/RW1000000100000%055.63000000000000100.00%10000000000000
22Antonio StrangesCrunch (TBL)C/LW/RW12000-120010000%0504.2000002000000033.33%30000000000000
23Tyler BoucherCrunch (TBL)LW/RW8000055020000%0597.45000000000000100.00%10100000100000
24Trevor JanickeCrunch (TBL)C/LW/RW10000-220774110%4787.870000000000000%20100000000000
25Tristan BrozCrunch (TBL)C11000-295660200%1524.7800000000000036.11%360000000010000
26Rasmus KumpulainenCrunch (TBL)C15000000201000%0130.89000000000000100.00%10000000000000
27Cameron LundCrunch (TBL)C/LW/RW29000-120112020%0582.010000400000000%00000000000000
28Dmitriy SimashevCrunch (TBL)D16000114013126230%926016.3000019000012000%01800000000000
Statistiques d’équipe totales ou en moyenne576102169271-6155322557365779124837912.90%308943116.3743731161309190221661914854.51%1695154163230.57916141516131415
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
1Cayden PrimeauCrunch (TBL)30151030.8953.0117140286816468000.69213300150
2Devin CooleyCrunch (TBL)72210.8813.282930016135760000330000
Statistiques d’équipe totales ou en moyenne37171240.8933.0520070210295154400133330150


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex PetrovicCrunch (TBL)D321992-03-03CANNo211 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-31FalseFalsePro & Farm850,000$542,553$85,000$54,255$No---------------------------
Alexander TracyCrunch (TBL)G232001-05-04USANo187 Lbs6 ft0NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm800,000$510,638$80,000$51,064$No---------------------------
Andre LeeCrunch (TBL)C/LW/RW242000-07-26SWENo206 Lbs6 ft5NoNoN/ANoNo22025-09-13FalseFalsePro & Farm771,750$492,606$77,175$49,261$No771,750$--------771,750$--------No--------
Angus BoothCrunch (TBL)D202004-04-27CANNo176 Lbs6 ft0NoNoProspectNoNo22024-08-31FalseFalsePro & Farm825,000$526,596$82,500$52,660$No825,000$--------825,000$--------No--------
Antonio StrangesCrunch (TBL)C/LW/RW222002-02-05USANo181 Lbs5 ft10NoNoN/ANoNo22025-09-13FalseFalsePro & Farm866,250$552,926$86,625$55,293$No866,250$--------866,250$--------No--------
Ben MeyersCrunch (TBL)C261998-11-15USANo194 Lbs5 ft11NoNoTrade2025-10-21NoNo22025-09-08FalseFalsePro & Farm1,800,000$1,148,936$180,000$114,894$No1,800,000$--------1,800,000$--------No--------
Blake LizotteCrunch (TBL)C271997-12-13USANo173 Lbs5 ft9NoNoAssign ManuallyNoNo32025-10-31FalseFalsePro & Farm1,200,000$765,957$120,000$76,596$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------
Brett HarrisonCrunch (TBL)C212003-06-07CANNo185 Lbs6 ft2NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,023,750$653,457$102,375$65,346$No---------------------------
Cameron LundCrunch (TBL)C/LW/RW202004-06-07USAYes192 Lbs6 ft0NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Cayden Primeau (sur la masse salariale)Crunch (TBL)G251999-08-11USANo205 Lbs6 ft3NoNoTrade2025-10-21NoNo1FalseFalsePro & Farm850,000$542,553$85,000$54,255$No---------------------------
Chris HeddenCrunch (TBL)D222002-09-20USANo185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Curtis LazarCrunch (TBL)C291995-02-02CANNo203 Lbs6 ft0NoNoFree AgentNoNo22025-06-09FalseFalsePro & Farm700,000$446,809$70,000$44,681$No700,000$--------700,000$--------No--------
Devin CooleyCrunch (TBL)G271997-05-25USANo181 Lbs6 ft5NoNoAssign ManuallyNoNo32025-11-09FalseFalsePro & Farm1,450,000$925,532$145,000$92,553$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Dmitriy SimashevCrunch (TBL)D192005-02-04RUSYes203 Lbs6 ft3NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$957,447$150,000$95,745$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Grayden SiepmannCrunch (TBL)D202004-05-26CANNo181 Lbs5 ft11NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Gunnarwolfe FontaineCrunch (TBL)C/LW/RW242000-09-16USANo174 Lbs5 ft10NoNoProspectNoNo12024-08-31FalseFalsePro & Farm750,000$478,723$75,000$47,872$No---------------------------
Hunter MayoCrunch (TBL)D202004-05-07CANNo196 Lbs6 ft1NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Hunter McKownCrunch (TBL)C222002-08-18USANo205 Lbs6 ft1NoNoTrade2025-10-21NoNo12025-09-08FalseFalsePro & Farm682,500$435,638$68,250$43,564$No---------------------------
Ian ShaneCrunch (TBL)G242000-09-24USANo168 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Jesper FastCrunch (TBL)LW/RW331991-12-02SWENo191 Lbs6 ft1NoNoTrade2025-10-21NoNo1FalseFalsePro & Farm2,100,000$1,340,426$210,000$134,043$No---------------------------
Linus KarlssonCrunch (TBL)C251999-11-16SWENo178 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No1,250,000$--------1,250,000$--------No--------
Linus Nassen (sur la masse salariale)Crunch (TBL)D261998-05-10SWENo181 Lbs6 ft0NoNoTrade2025-10-26NoNo12025-09-08FalseFalsePro & Farm955,041$609,601$95,504$60,960$No---------------------------
Matt KierstedCrunch (TBL)D261998-04-14USANo182 Lbs6 ft0NoNoN/ANoNo12025-09-13FalseFalsePro & Farm829,583$529,521$82,958$52,952$No---------------------------
Maveric LamoureuxCrunch (TBL)D202004-01-13CANNo196 Lbs6 ft6NoNoAssign ManuallyNoNo22025-10-28FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No1,250,000$--------1,250,000$--------No--------
Miles WoodCrunch (TBL)LW/RW291995-09-13USANo195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-11-09FalseFalsePro & Farm1,170,000$746,809$117,000$74,681$No1,170,000$--------1,170,000$--------No--------
Nate TiveyCrunch (TBL)D202004-03-27CANNo205 Lbs6 ft5NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Nicholas AbruzzeseCrunch (TBL)C/LW/RW251999-06-04USANo183 Lbs5 ft11NoNoN/ANoNo12025-09-13FalseFalsePro & Farm826,875$527,793$82,688$52,780$No---------------------------
Rasmus KumpulainenCrunch (TBL)C192005-08-08FINNo205 Lbs6 ft4NoNoProspectNoNo22024-08-31FalseFalsePro & Farm975,000$622,340$97,500$62,234$No975,000$--------975,000$--------No--------
Reese JohnsonCrunch (TBL)C261998-07-10CANNo193 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,905,000$1,215,957$190,500$121,596$No1,905,000$--------1,905,000$--------No--------
Trevor JanickeCrunch (TBL)C/LW/RW242000-12-25USANo194 Lbs5 ft10NoNoProspectNoNo12024-08-31FalseFalsePro & Farm975,000$622,340$97,500$62,234$No---------------------------
Tristan BrozCrunch (TBL)C222002-10-10USANo183 Lbs6 ft0NoNoProspectNoNo12024-08-31FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No---------------------------
Tyler BoucherCrunch (TBL)LW/RW212003-01-16USANo205 Lbs6 ft1NoNoN/ANoNo12025-09-13FalseFalsePro & Farm1,575,000$1,005,319$157,500$100,532$No---------------------------
Yaniv PeretsCrunch (TBL)G242000-03-04CANNo181 Lbs6 ft1NoNoTrade2025-10-23NoNo1FalseFalsePro & Farm682,500$435,638$68,250$43,564$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3323.85190 Lbs6 ft11.641,047,371$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Blake LizotteTristan BrozJesper Fast28122
2Linus KarlssonReese JohnsonAndre Lee28122
3Miles WoodCurtis LazarBen Meyers25122
4Jesper FastCurtis LazarLinus Karlsson19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter MayoGrayden Siepmann28122
2Maveric LamoureuxMatt Kiersted28122
3Alex PetrovicNate Tivey25122
4Maveric LamoureuxMatt Kiersted19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Reese JohnsonLinus KarlssonMiles Wood50122
2Curtis LazarJesper FastAndre Lee50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedNate Tivey50122
2Maveric LamoureuxHunter Mayo50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesper FastCurtis Lazar50122
2Reese JohnsonAndre Lee50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedNate Tivey50122
2Maveric LamoureuxHunter Mayo50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesper Fast50122Nate TiveyMatt Kiersted50122
2Reese Johnson50122Maveric LamoureuxHunter Mayo50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper FastMiles Wood50122
2Reese JohnsonCurtis Lazar50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Matt KierstedNate Tivey50122
2Maveric LamoureuxHunter Mayo50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miles WoodCurtis LazarJesper FastMaveric LamoureuxMatt Kiersted
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Miles WoodCurtis LazarJesper FastMaveric LamoureuxMatt Kiersted
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jesper Fast, Reese Johnson, Curtis LazarJesper Fast, Reese JohnsonJesper Fast
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Mayo, Nate Tivey, Maveric LamoureuxMaveric LamoureuxHunter Mayo, Maveric Lamoureux
Tirs de pénalité
Curtis Lazar, Miles Wood, Andre Lee, Reese Johnson, Jesper Fast
Gardien
#1 : Devin Cooley, #2 : Yaniv Perets


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
1Americans1010000045-1000000000001010000045-100.0004610002145449252353073022325818172150.00%5180.00%035766753.52%37065256.75%24246651.93%626275637346745380
2Bears1010000023-1000000000001010000023-100.00024600214544927235307302232659144125.00%2150.00%035766753.52%37065256.75%24246651.93%626275637346745380
3Bills22000000954220000009540000000000041.0009152400214544952235307302237722604313323.08%5180.00%035766753.52%37065256.75%24246651.93%626275637346745380
4Blood Miners53100001191363200000110462110000099070.700193049002145449108235307302231133913098181055.56%15473.33%035766753.52%37065256.75%24246651.93%626275637346745380
5Bulldogs311000011113-200000000000311000011113-230.50011172800214544980235307302239540555214642.86%11372.73%035766753.52%37065256.75%24246651.93%626275637346745380
6Eagles1010000024-21010000024-20000000000000.000224002145449212353073022345198103133.33%4175.00%035766753.52%37065256.75%24246651.93%626275637346745380
7Gorillas21000010633210000106330000000000041.00068140121454495323530730223451613356116.67%4250.00%035766753.52%37065256.75%24246651.93%626275637346745380
8Griffins421010001310300000000000421010001310360.75013213400214544982235307302239832497216637.50%7442.86%035766753.52%37065256.75%24246651.93%626275637346745380
9Mountaineers21100000954110000007161010000024-220.500917260021454495623530730223429153913323.08%5260.00%035766753.52%37065256.75%24246651.93%626275637346745380
10Norsemen1010000034-1000000000001010000034-100.0003580021454492723530730223341016253266.67%3166.67%035766753.52%37065256.75%24246651.93%626275637346745380
11Octopus1010000024-21010000024-20000000000000.000224002145449302353073022343139197114.29%20100.00%035766753.52%37065256.75%24246651.93%626275637346745380
12Phantoms20000110880000000000002000011088030.750811190021454496623530730223632240476350.00%10190.00%035766753.52%37065256.75%24246651.93%626275637346745380
13Rams1000010034-11000010034-10000000000010.5003470021454493123530730223311225217342.86%50100.00%035766753.52%37065256.75%24246651.93%626275637346745380
14Roadrunners2110000046-22110000046-20000000000020.50048120021454494223530730223542235365120.00%10280.00%135766753.52%37065256.75%24246651.93%626275637346745380
15Rocket11000000413000000000001100000041321.0004590021454492723530730223301247178112.50%50100.00%035766753.52%37065256.75%24246651.93%626275637346745380
16Saints1010000047-3000000000001010000047-300.0004812002145449282353073022335142175120.00%110.00%035766753.52%37065256.75%24246651.93%626275637346745380
17Silver Knights1010000012-1000000000001010000012-100.00012300214544935235307302233951519200.00%6183.33%035766753.52%37065256.75%24246651.93%626275637346745380
18White Wolves11000000752110000007520000000000021.0007132000214544938235307302233412211033100.00%8187.50%035766753.52%37065256.75%24246651.93%626275637346745380
19Wolf Pack10000010321100000103210000000000021.00034700214544925235307302232221211300.00%6183.33%035766753.52%37065256.75%24246651.93%626275637346745380
Total33131201232114104101583001215338151859011116166-5380.576114182296012145449853235307302239513145796021384734.06%1142776.32%135766753.52%37065256.75%24246651.93%626275637346745380
_Since Last GM Reset33131201232114104101583001215338151859011116166-5380.576114182296012145449853235307302239513145796021384734.06%1142776.32%135766753.52%37065256.75%24246651.93%626275637346745380
_Vs Conference26139010129178131383000114732151356010014446-2320.61591148239012145449652235307302237502554594671133732.74%832273.49%135766753.52%37065256.75%24246651.93%626275637346745380
_Vs Division1311401012464517710001123194643010012326-3281.077467512100214544931623530730223375142265231462350.00%511276.47%135766753.52%37065256.75%24246651.93%626275637346745380

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3338W311418229685395131457960201
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3313121232114104
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
158301215338
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
185911116166
Derniers 10 matchs
WLOTWOTL SOWSOL
530101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1384734.06%1142776.32%1
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
235307302232145449
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
35766753.52%37065256.75%24246651.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
626275637346745380


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
14Crunch1Griffins3LSommaire du match
319Blood Miners1Crunch5WSommaire du match
641Crunch5Griffins4WXSommaire du match
857Octopus4Crunch2LSommaire du match
969Crunch4Griffins2WSommaire du match
1074Crunch5Bulldogs6LXXSommaire du match
1394Roadrunners1Crunch2WSommaire du match
16117Bills3Crunch5WSommaire du match
18132Crunch4Rocket1WSommaire du match
20148Gorillas0Crunch2WSommaire du match
23171White Wolves5Crunch7WSommaire du match
25180Crunch2Mountaineers4LSommaire du match
27196Crunch9Blood Miners4WSommaire du match
29210Crunch3Griffins1WSommaire du match
31218Roadrunners5Crunch2LSommaire du match
33232Crunch3Phantoms4LXSommaire du match
35245Crunch1Silver Knights2LSommaire du match
36254Gorillas3Crunch4WXXSommaire du match
39274Crunch4Saints7LSommaire du match
41286Wolf Pack2Crunch3WXXSommaire du match
43301Crunch4Americans5LSommaire du match
46318Crunch3Norsemen4LSommaire du match
47322Eagles4Crunch2LSommaire du match
50349Blood Miners2Crunch5WSommaire du match
52368Crunch2Bears3LSommaire du match
53378Crunch0Bulldogs4LSommaire du match
54384Mountaineers1Crunch7WSommaire du match
58413Blood Miners1Crunch0LXXSommaire du match
60428Crunch0Blood Miners5LSommaire du match
62443Rams4Crunch3LXSommaire du match
64454Crunch5Phantoms4WXXSommaire du match
66466Crunch6Bulldogs3WSommaire du match
68480Bills2Crunch4WSommaire du match
71502Crunch-Mountaineers-
73511Octopus-Crunch-
75530Crunch-Wolves-
77540Crunch-Penguins-
78544Moose-Crunch-
82575Senators-Crunch-
85596Crunch-Silver Knights-
86607Redhawks-Crunch-
89626Crunch-Redhawks-
91637Whalers-Crunch-
93656Crunch-Reign-
94669Roadrunners-Crunch-
97688Crunch-Griffins-
99700Octopus-Crunch-
101713Crunch-Rocket-
103733Admirals-Crunch-
105745Crunch-Eagles-
107759Crunch-Grisards-
109767Silver Knights-Crunch-
112795Crunch-White Wolves-
113800Rocket-Crunch-
116825Crunch-White Wolves-
117831Eagles-Crunch-
122863Griffins-Crunch-
124881Crunch-Rocket-
125894Reign-Crunch-
129923Bills-Crunch-
130933Crunch-Redhawks-
133953White Wolves-Crunch-
138982Titans-Crunch-
1411007Crunch-Roadrunners-
1421014Blossom Bytes-Crunch-
1451040Gorillas-Crunch-
1471055Crunch-Gorillas-
1501071Crunch-Roadrunners-
1511083White Wolves-Crunch-
1531093Crunch-Bills-
1551109Blossom Bytes-Crunch-
1591139Griffins-Crunch-
1601150Crunch-Gorillas-
1631167Saints-Crunch-
1651185Crunch-Octopus-
1671198Crunch-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691208Reign-Crunch-
1711219Crunch-Gulls-
1741241Saints-Crunch-
1761250Crunch-Bills-
1811278Bulldogs-Crunch-
1851302Bulldogs-Crunch-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets4020
Assistance28,37753,553
Assistance PCT75.67%64.91%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
26 5462 - 68.28% 176,491$2,647,368$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,470,475$ 3,275,820$ 3,275,820$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
20,616$ 1,470,475$ 31 2

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,588,771$ 120 20,616$ 2,473,920$




Crunch Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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 des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

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