Connexion

Chill
GP: 82 | W: 29 | L: 49 | OTL: 4 | P: 62
GF: 244 | GA: 297 | PP%: 16.67% | PK%: 75.38%
DG: Maxime Pigeon-Gosselin | Morale : 50 | Moyenne d’équipe : 53
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Centre de jeu
Chill
29-49-4, 62pts
2
FINAL
4 Phantoms
43-28-11, 97pts
Team Stats
SOL1StreakW3
16-23-2Home Record18-16-7
13-26-2Away Record25-12-4
1-8-1Last 10 Games6-4-0
2.98Goals Per Game3.89
3.62Goals Against Per Game3.35
16.67%Power Play Percentage24.47%
75.38%Penalty Kill Percentage81.49%
Minnesota
26-48-8, 60pts
5
FINAL
4 Chill
29-49-4, 62pts
Team Stats
W1StreakSOL1
12-25-4Home Record16-23-2
14-23-4Away Record13-26-2
3-6-1Last 10 Games1-8-1
3.30Goals Per Game2.98
4.38Goals Against Per Game3.62
24.50%Power Play Percentage16.67%
77.60%Penalty Kill Percentage75.38%
Meneurs d'équipe
Buts
Oskar Lindblom
33
Passes
Rasmus Kupari
47
Points
Rasmus Kupari
77
Plus/Moins
Oskar Lindblom
19
Victoires
Keith Petruzzelli
18
Pourcentage d’arrêts
Keith Petruzzelli
0.904

Statistiques d’équipe
Buts pour
244
2.98 GFG
Tirs pour
2925
35.67 Avg
Pourcentage en avantage numérique
16.7%
39 GF
Début de zone offensive
40.2%
Buts contre
297
3.62 GAA
Tirs contre
3068
37.41 Avg
Pourcentage en désavantage numérique
75.4%
64 GA
Début de la zone défensive
40.4%
Information d’équipe

Directeur généralMaxime Pigeon-Gosselin
DivisionAtlantique
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,650
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure23
Limite contact 47 / 50
Espoirs26


Historique d'équipe

Saison actuelle29-49-4 (62PTS)
Historique29-49-6 (0.345%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Taro HiroseXX100.00635973635971736550695660534747050590242925,000$
2Mackenzie MacEachernXX100.00824588627254606044555776255657050590263560,000$
3A.J. GreerX100.00787682647661626150605766544646050590232800,000$
4Nolan StevensXX100.00767090657062636278615865554444050590241842,500$
5Keegan KolesarXXX100.00894680657954665752685854255050050580233750,000$
6Evan Barratt (R)XX100.00726881646858585974575762544444050570213870,000$
7Blake McLaughlin (R)X100.00453890696057695052444647485051050510204825,000$
8Oskar Back (R)X100.00534995637566924357384146435050050510204850,833$
9Tyler Weiss (R)X100.00514263695654664651463845405050050490204650,000$
10Demetrios Koumontzis (R)X100.00504481656448623849343542375050050450204650,000$
11Jake WalmanX100.00764389716564646125434866255353050600241800,000$
12Josh MahuraX100.00714290666868756025574958254747050590221700,000$
13John Ludvig (R)X100.00747572637558595725514962474444050570203853,333$
14Ben GleasonX100.00736884626863665325484361414444050560222770,000$
15Josh Maniscalco (R)X100.00797685607647494125283961374444050530214853,333$
16Jacob Bernard-Docker (R)X100.00534779656752674025423159335052050530204925,000$
Rayé
1Raphael Lavoie (R)XX100.00757576687560616075536264594444050580203870,000$
2Markus Niemelainen (R)X100.00807690657659624825394263404444050570221700,000$
3Seth Barton (R)X100.00504593636947603825383159335456050520214832,500$
4John St-Ivany (R)X100.00484189646445583425332943305454050470214650,000$
5Jonathan Tychonick (R)X100.00504480636447633325293144335050050470204825,000$
6Matthew Cairns (R)X100.00374343436835353743373743403230050400221700,000$
MOYENNE D’ÉQUIPE100.0065558264695663504247455740484805054
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 SP
1Olle Eriksson Ek (R)100.0051546877515250565151304444050540
2Kristian Oldham (R)100.0032373570323131313131293230050360
Rayé
MOYENNE D’ÉQUIPE100.004246527442424144414130383705045
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Rasmus KupariNashvilleC/RW623047771154101261522436515412.35%17111618.018152351171000035262.18%146200001.3811101472
2Nolan StevensChill (Nas)C/LW803242742120891832717919311.81%17150818.864913331600112965058.57%120200010.9813000385
3Oskar LindblomNashvilleLW5933286119140921143007423011.00%22102317.349514671501014733058.52%13500001.1946000745
4Taro HiroseChill (Nas)LW/RW82213960215549125268651867.84%13156619.105510482030002472042.06%12600100.7702001443
5Michael AmadioNashvilleC6813476080014217215711746.05%24148821.88212143215800041732258.62%178100000.8104000025
6A.J. GreerChill (Nas)LW76243155-94115128115275931808.73%27149719.7146103615210171064042.52%12700000.7302102373
7Raphael LavoieChill (Nas)C/RW81272451153151211232377517411.39%23120814.92437341130000222356.85%39400000.8400011232
8Mackenzie MacEachernChill (Nas)LW/RW83172542112959982210511388.10%5789510.78000000002302141.67%4800000.9401001203
9Jake VirtanenNashvilleLW/RW4427134085351621082204614412.27%1399722.68325319800041044150.00%32600010.8022000813
10Keegan KolesarChill (Nas)C/LW/RW82132639-35540230123180591657.22%12144917.68088211100004540045.08%80300000.5400000012
11Josh MahuraChill (Nas)D8282735-102801056810539627.62%106178321.754711511980001193200.00%000100.3900000012
12Jake WalmanChill (Nas)D706243037801387512847804.69%109152821.84246591710003147100.00%000000.3900000011
13Lauri PajuniemiNashvilleRW68141630-111404979209591526.70%1599414.634373290000061454.88%8200000.6012000142
14Rocco GrimaldiNashvilleLW/RW231613291202653127468912.60%850521.9761722430005562133.33%4200011.1503000350
15John LudvigChill (Nas)D6362127-67315161567832597.69%81125919.99358251440001124110.00%000000.4300101000
16Evan BarrattChill (Nas)C/LW8271825-2226074122218621463.21%21119314.560113130001390056.62%21900000.4200000000
17Scott ReedyNashvilleC7216723-61606267171391139.36%125888.17112314000092050.82%30500000.7800000200
18Markus NiemelainenChill (Nas)D6891322-114751295373244712.33%89126618.623362098000099000.00%000000.3500010002
19Jakub LaukoNashvilleC/LW/RW258111972915366810618757.55%753121.2512312591012581060.19%61800000.7200021310
20Ben GleasonChill (Nas)D6761016-253601175047122912.77%74106415.89202722000052110.00%000000.3000000012
21Mirco MuellerNashvilleD19391238038264215307.14%4045223.801121846000140000.00%000000.5300000010
22Josh ManiscalcoChill (Nas)D58336-11315107192672011.54%6570112.0900003000135000.00%000000.1700001000
23Blake McLaughlinChill (Nas)C22235400017103920.00%01064.8600001000010041.84%14100000.9400000000
24Jacob Bernard-DockerChill (Nas)D3814502020191110139.09%3151813.6400001100004000100.00%100000.1900000000
25Jay O'BrienNashvilleC37123-900736316363.23%141011.090002280000261043.69%32500000.1500000000
26Oskar BackChill (Nas)C10213-600226961322.22%118818.870000190000100051.30%23000000.3200000000
27Tyler WeissChill (Nas)LW11202-200371131218.18%016515.0400000000000063.64%1100000.2400000000
28Seth BartonChill (Nas)D18022-9006104140.00%2324513.6100012000012000.00%100000.1600000000
29Demetrios KoumontzisChill (Nas)LW2000-100200010.00%13216.480000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1552347506853-9371595219221933825110727289.07%9092628816.9466931596082290314441667411655.48%837900230.65926349425142
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
1Keith PetruzzelliNashville40182100.9043.5323136013614100111.0003400210
2Olle Eriksson EkChill (Nas)44102740.9023.7624562115415700000.55694249413
3Kristian OldhamChill (Nas)10000.8572.862100170000.0000022000
Statistiques d’équipe totales ou en moyenne85284840.9033.6547908129129870110.667128271623


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 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. GreerChill (Nas)LW231996-12-14No204 Lbs6 ft3NoNoNo2Pro & Farm800,000$80,000$0$No800,000$Lien
Ben GleasonChill (Nas)D221998-03-24No180 Lbs6 ft1NoNoNo2Pro & Farm770,000$77,000$0$No770,000$Lien
Blake McLaughlinChill (Nas)C202000-02-14Yes162 Lbs6 ft0NoNoNo4Pro & Farm825,000$82,500$0$No825,000$825,000$825,000$Lien
Demetrios KoumontzisChill (Nas)LW202000-03-24Yes183 Lbs5 ft10NoNoNo4Pro & Farm650,000$65,000$0$No650,000$650,000$650,000$Lien
Evan BarrattChill (Nas)C/LW211999-02-18Yes187 Lbs6 ft0NoNoNo3Pro & Farm870,000$87,000$0$No870,000$870,000$Lien
Jacob Bernard-DockerChill (Nas)D202000-06-30Yes187 Lbs6 ft0NoNoNo4Pro & Farm925,000$92,500$0$No925,000$925,000$925,000$
Jake WalmanChill (Nas)D241996-02-20No170 Lbs6 ft1NoNoNo1Pro & Farm800,000$80,000$0$NoLien
John LudvigChill (Nas)D202000-08-02Yes205 Lbs6 ft1NoNoNo3Pro & Farm853,333$85,333$0$No853,333$853,333$Lien
John St-IvanyChill (Nas)D211999-07-22Yes170 Lbs6 ft1NoNoNo4Pro & Farm650,000$65,000$0$No650,000$650,000$650,000$Lien
Jonathan TychonickChill (Nas)D202000-03-03Yes177 Lbs6 ft0NoNoNo4Pro & Farm825,000$82,500$0$No825,000$825,000$825,000$Lien
Josh MahuraChill (Nas)D221998-05-05No186 Lbs6 ft0NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Josh ManiscalcoChill (Nas)D211999-02-17Yes205 Lbs6 ft2NoNoNo4Pro & Farm853,333$85,333$0$No853,333$853,333$853,333$Lien
Keegan KolesarChill (Nas)C/LW/RW231997-04-08No217 Lbs6 ft2NoNoNo3Pro & Farm750,000$75,000$0$No750,000$750,000$Lien
Kristian OldhamChill (Nas)G231997-06-25Yes190 Lbs6 ft4NoNoNo3Pro & Farm560,000$56,000$0$No560,000$560,000$Lien
Mackenzie MacEachernChill (Nas)LW/RW261994-03-08No190 Lbs6 ft2NoNoNo3Pro & Farm560,000$56,000$0$No560,000$560,000$Lien
Markus NiemelainenChill (Nas)D221998-06-07Yes190 Lbs6 ft6NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Matthew CairnsChill (Nas)D221998-04-27Yes205 Lbs6 ft3NoNoNo1Pro & Farm700,000$70,000$0$NoLien
Nolan StevensChill (Nas)C/LW241996-07-22No183 Lbs6 ft3NoNoNo1Pro & Farm842,500$84,250$0$NoLien
Olle Eriksson EkChill (Nas)G211999-06-22Yes189 Lbs6 ft3NoNoNo3Pro & Farm773,889$77,389$0$No773,889$773,889$Lien
Oskar BackChill (Nas)C202000-03-12Yes200 Lbs6 ft3NoNoNo4Pro & Farm850,833$85,083$0$No850,833$850,833$850,833$Lien
Raphael LavoieChill (Nas)C/RW202000-09-25Yes198 Lbs6 ft4NoNoNo3Pro & Farm870,000$87,000$0$No870,000$870,000$Lien
Seth BartonChill (Nas)D211999-08-18Yes185 Lbs6 ft2NoNoNo4Pro & Farm832,500$83,250$0$No832,500$832,500$832,500$
Taro HiroseChill (Nas)LW/RW241996-06-30No162 Lbs5 ft10NoNoNo2Pro & Farm925,000$92,500$0$No925,000$Lien
Tyler WeissChill (Nas)LW202000-01-03Yes151 Lbs5 ft11NoNoNo4Pro & Farm650,000$65,000$0$No650,000$650,000$650,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2421.67187 Lbs6 ft22.83772,350$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerNolan StevensTaro Hirose40122
2Keegan Kolesar30122
3Evan BarrattMackenzie MacEachern20122
4A.J. GreerBlake McLaughlin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJosh Mahura40122
2John Ludvig30122
3Josh ManiscalcoJacob Bernard-Docker20122
4Jake WalmanJosh Mahura10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerTaro Hirose60122
2Nolan StevensKeegan Kolesar40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJosh Mahura60122
2John Ludvig40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mackenzie MacEachern60122
2A.J. Greer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJosh Mahura60122
2John Ludvig40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jake WalmanJosh Mahura60122
240122John Ludvig40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mackenzie MacEachern60122
2A.J. Greer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jake WalmanJosh Mahura60122
2John Ludvig40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerNolan StevensTaro HiroseJake WalmanJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerNolan StevensTaro HiroseJake WalmanJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
A.J. Greer, Keegan Kolesar, , Evan BarrattMackenzie MacEachern
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Walman, Josh Mahura, Jacob Bernard-DockerJacob Bernard-DockerJacob Bernard-Docker, Jake Walman
Tirs de pénalité
Mackenzie MacEachern, A.J. Greer, Taro Hirose, Nolan Stevens,
Gardien
#1 : Olle Eriksson Ek, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals3120000057-2211000005411010000003-320.33358130011368586919729509764280282766600.00%11281.82%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
2Baby Hawks50500000718-112020000036-330300000412-800.00071320001136858615697295097642193574211617211.76%15566.67%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
3Bears21000001981110000005321000000145-130.7509152400113685867497295097642802217426116.67%6266.67%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
4Bruins2020000026-41010000002-21010000024-200.0002350011368586619729509764284266456116.67%30100.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
5Cabaret Lady Mary Ann20200000710-31010000024-21010000056-100.0007121900113685867397295097642822518465120.00%9277.78%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
6Caroline20100100712-51000010045-11010000037-410.250712190011368586839729509764288261251300.00%6183.33%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
7Chiefs412000011214-2211000007702010000157-230.37512223400113685861159729509764213542397811436.36%12466.67%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
8Comets330000001165110000004222200000074361.000112132001136858612897295097642763118611119.09%8275.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
9Cougars2020000068-21010000034-11010000034-100.0006121800113685866097295097642701612418225.00%5340.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
10Crunch211000006421010000023-11100000041320.500610160011368586949729509764252238481000.00%40100.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
11Heat321000001073220000007341010000034-140.6671016260011368586799729509764298242559600.00%10280.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
12Jayhawks3120000068-21010000023-12110000045-120.3336111700113685861079729509764211627277612216.67%11281.82%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
13Las Vegas3110100012102211000007611000100054140.6671221330011368586142972950976421202719759222.22%7185.71%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
14Manchots20200000713-61010000026-41010000057-200.0007132000113685866897295097642111271748500.00%9544.44%11499284452.71%1506286352.60%754137554.84%1973136319116031066531
15Marlies2020000038-51010000024-21010000014-300.00036900113685865797295097642802610495120.00%40100.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
16Minnesota5310000118144311000011012-22200000082670.700183250011136858623197295097642185553012310220.00%15473.33%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
17Monarchs311010009811010000013-22100100085340.66791625001136858612297295097642932927706350.00%10190.00%11499284452.71%1506286352.60%754137554.84%1973136319116031066531
18Monsters211000007701010000024-21100000053220.5007101710113685867597295097642902516366233.33%80100.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
19Monsters40301000614-82010100045-12020000029-720.250611170011368586125972950976421474930931616.25%14471.43%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
20Oceanics404000001320-720200000811-32020000059-400.00013233600113685861259729509764215243408714321.43%19573.68%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
21Oil Kings303000001017-71010000036-320200000711-400.00010182800113685861119729509764212820367110110.00%10550.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
22Phantoms2020000048-41010000024-21010000024-200.000481200113685866097295097642781823461000.00%4250.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
23Rocket20200000513-81010000038-51010000025-300.00059140011368586819729509764295252154600.00%8275.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
24Senators2020000049-51010000024-21010000025-300.00046100011368586709729509764291121253400.00%6183.33%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
25Sharks31200000911-2211000007701010000024-220.33391625001136858683972950976421022712737457.14%50100.00%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
26Sound Tigers21000010862110000003211000001054141.0008132100113685868397295097642902812375120.00%6433.33%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
27Spiders21100000660110000004221010000024-220.5006111700113685867197295097642692314523133.33%7185.71%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
28Stars42200000131302200000083520200000510-540.5001325380011368586145972950976421533030889222.22%13192.31%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
29Thunder210000101183110000006421000001054141.00011193000113685868097295097642721823553133.33%9188.89%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
30Wolf Pack220000001147110000006151100000053241.00011203100113685867597295097642581912355120.00%6266.67%01499284452.71%1506286352.60%754137554.84%1973136319116031066531
Total82244903123244297-5341152301101124138-144192602022120159-39620.3782444326761111368586292597295097642306884863518742343916.67%2606475.38%21499284452.71%1506286352.60%754137554.84%1973136319116031066531
_Since Last GM Reset82244903123244297-5341152301101124138-144192602022120159-39620.3782444326761111368586292597295097642306884863518742343916.67%2606475.38%21499284452.71%1506286352.60%754137554.84%1973136319116031066531
_Vs Conference35102101021108129-2118711000005561-617310010215368-15270.38610818729510113685861195972950976421330371268794911920.88%1132676.99%21499284452.71%1506286352.60%754137554.84%1973136319116031066531
_Vs Division16211010004466-22816000002033-13815010002433-960.188447712100113685865769729509764262617111039147612.77%48981.25%01499284452.71%1506286352.60%754137554.84%1973136319116031066531

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8262SOL124443267629253068848635187411
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8224493123244297
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115231101124138
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
419262022120159
Derniers 10 matchs
WLOTWOTL SOWSOL
180001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2343916.67%2606475.38%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
9729509764211368586
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
1499284452.71%1506286352.60%754137554.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1973136319116031066531


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 - 2021-10-139Minnesota3Chill4WSommaire du match
4 - 2021-10-1525Cougars4Chill3LSommaire du match
7 - 2021-10-1841Sharks6Chill5LSommaire du match
9 - 2021-10-2052Bears3Chill5WSommaire du match
11 - 2021-10-2263Chill4Monarchs3WXSommaire du match
14 - 2021-10-2590Chill5Las Vegas4WXSommaire du match
16 - 2021-10-27104Chill2Jayhawks4LSommaire du match
18 - 2021-10-29121Cabaret Lady Mary Ann4Chill2LSommaire du match
21 - 2021-11-01138Admirals2Chill4WSommaire du match
23 - 2021-11-03150Minnesota4Chill2LSommaire du match
25 - 2021-11-05164Chill5Thunder4WXXSommaire du match
28 - 2021-11-08185Baby Hawks2Chill1LSommaire du match
30 - 2021-11-10194Heat1Chill3WSommaire du match
32 - 2021-11-12205Wolf Pack1Chill6WSommaire du match
34 - 2021-11-14222Chill3Cougars4LSommaire du match
37 - 2021-11-17244Chill2Monsters5LSommaire du match
39 - 2021-11-19262Chill2Sharks4LSommaire du match
42 - 2021-11-22277Chill3Comets1WSommaire du match
46 - 2021-11-26310Baby Hawks4Chill2LSommaire du match
49 - 2021-11-29325Oceanics6Chill4LSommaire du match
51 - 2021-12-01339Comets2Chill4WSommaire du match
53 - 2021-12-03358Chill2Chiefs3LSommaire du match
55 - 2021-12-05370Chiefs2Chill4WSommaire du match
57 - 2021-12-07385Las Vegas2Chill4WSommaire du match
59 - 2021-12-09401Chill3Caroline7LSommaire du match
60 - 2021-12-10409Chill5Cabaret Lady Mary Ann6LSommaire du match
63 - 2021-12-13430Thunder4Chill6WSommaire du match
67 - 2021-12-17460Spiders2Chill4WSommaire du match
70 - 2021-12-20475Sharks1Chill2WSommaire du match
72 - 2021-12-22487Chill4Crunch1WSommaire du match
74 - 2021-12-24505Stars1Chill5WSommaire du match
76 - 2021-12-26520Chill5Wolf Pack3WSommaire du match
77 - 2021-12-27527Chill5Sound Tigers4WXXSommaire du match
79 - 2021-12-29542Chill2Senators5LSommaire du match
81 - 2021-12-31556Chill2Bruins4LSommaire du match
83 - 2022-01-02576Jayhawks3Chill2LSommaire du match
87 - 2022-01-06587Manchots6Chill2LSommaire du match
88 - 2022-01-07597Chill5Manchots7LSommaire du match
92 - 2022-01-11626Chill1Stars4LSommaire du match
95 - 2022-01-14652Chill4Monarchs2WSommaire du match
96 - 2022-01-15658Chill0Admirals3LSommaire du match
98 - 2022-01-17671Bruins2Chill0LSommaire du match
100 - 2022-01-19684Chill2Baby Hawks5LSommaire du match
103 - 2022-01-22703Chill4Oceanics5LSommaire du match
105 - 2022-01-24723Chill3Oil Kings6LSommaire du match
107 - 2022-01-26735Admirals2Chill1LSommaire du match
109 - 2022-01-28752Crunch3Chill2LSommaire du match
118 - 2022-02-06770Marlies4Chill2LSommaire du match
120 - 2022-02-08777Chill4Bears5LXXSommaire du match
121 - 2022-02-09783Chill2Spiders4LSommaire du match
123 - 2022-02-11801Las Vegas4Chill3LSommaire du match
126 - 2022-02-14822Chill1Oceanics4LSommaire du match
128 - 2022-02-16836Chill3Heat4LSommaire du match
130 - 2022-02-18845Chill4Oil Kings5LSommaire du match
132 - 2022-02-20864Chill4Comets3WSommaire du match
135 - 2022-02-23886Sound Tigers2Chill3WSommaire du match
137 - 2022-02-25896Chill3Chiefs4LXXSommaire du match
138 - 2022-02-26910Chiefs5Chill3LSommaire du match
140 - 2022-02-28925Caroline5Chill4LXSommaire du match
143 - 2022-03-03943Chill1Baby Hawks3LSommaire du match
144 - 2022-03-04955Monsters4Chill2LSommaire du match
147 - 2022-03-07977Senators4Chill2LSommaire du match
149 - 2022-03-09991Heat2Chill4WSommaire du match
151 - 2022-03-111008Monsters1Chill2WXSommaire du match
153 - 2022-03-131018Oil Kings6Chill3LSommaire du match
154 - 2022-03-141023Chill4Minnesota0WSommaire du match
156 - 2022-03-161039Stars2Chill3WSommaire du match
158 - 2022-03-181051Chill4Stars6LSommaire du match
161 - 2022-03-211071Chill2Rocket5LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231083Chill1Marlies4LSommaire du match
165 - 2022-03-251105Chill5Monsters3WSommaire du match
166 - 2022-03-261116Chill4Minnesota2WSommaire du match
170 - 2022-03-301142Monsters4Chill2LSommaire du match
172 - 2022-04-011159Phantoms4Chill2LSommaire du match
173 - 2022-04-021167Chill1Baby Hawks4LSommaire du match
175 - 2022-04-041183Oceanics5Chill4LSommaire du match
177 - 2022-04-061197Monarchs3Chill1LSommaire du match
179 - 2022-04-081214Chill2Jayhawks1WSommaire du match
180 - 2022-04-091222Chill0Monsters4LSommaire du match
183 - 2022-04-121240Rocket8Chill3LSommaire du match
184 - 2022-04-131246Chill2Phantoms4LSommaire du match
186 - 2022-04-151267Minnesota5Chill4LXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance76,98031,676
Assistance PCT93.88%77.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2650 - 88.34% 84,011$3,444,468$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,562,131$ 1,853,638$ 1,853,638$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,913$ 2,562,131$ 24 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 9,913$ 0$




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