Connexion

Americans
GP: 14 | W: 8 | L: 4 | OTL: 2 | P: 18
GF: 52 | GA: 46 | PP%: 11.11% | PK%: 79.69%
DG: Denis Beauchesne | Morale : 67 | Moyenne d’équipe : 57
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Centre de jeu
Americans
8-4-2, 18pts
6
FINAL
5 Bruins
8-4-2, 18pts
Team Stats
W2StreakW1
5-0-2Home Record5-0-2
3-4-0Away Record3-4-0
6-3-1Last 10 Games5-3-2
3.71Goals Per Game4.21
3.29Goals Against Per Game3.50
11.11%Power Play Percentage18.37%
79.69%Penalty Kill Percentage71.79%
Marlies
8-3-3, 19pts
4
FINAL
5 Americans
8-4-2, 18pts
Team Stats
SOL1StreakW2
5-1-1Home Record5-0-2
3-2-2Away Record3-4-0
5-3-2Last 10 Games6-3-1
3.07Goals Per Game3.71
3.36Goals Against Per Game3.29
24.00%Power Play Percentage11.11%
88.89%Penalty Kill Percentage79.69%
Meneurs d'équipe
Victoires
Alex D'Orio
6
Pourcentage d’arrêts
Alex D'Orio
0.92

Statistiques d’équipe
Buts pour
52
3.71 GFG
Tirs pour
507
36.21 Avg
Pourcentage en avantage numérique
11.1%
4 GF
Début de zone offensive
40.6%
Buts contre
46
3.29 GAA
Tirs contre
497
35.50 Avg
Pourcentage en désavantage numérique
79.7%
13 GA
Début de la zone défensive
40.1%
Information d’équipe

Directeur généralDenis Beauchesne
EntraîneurDon Granato
DivisionAtlantique
ConférenceConference 1
CapitaineBrendan Smith
Assistant #1Zack Kassian
Assistant #2Jordan Weal


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 80
Espoirs6


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
1Joel Kellman0X100.006969707769656469806767646447476754620272750,000$
2Nic Petan0XX100.006562717962595770506470656759596854620262775,000$
3Zack Kassian (A)0XX100.0092478383796167592560585925717264446203043,200,000$
4Jordan Weal (A)0XXX100.0067647471646667648062586555616262426102911,400,000$
5Parker Kelly0XX100.007571856271676959745162635944446256590222726,667$
6Ty Ronning0X100.007061926261605968506171636744446760580232750,833$
7Filip Chlapik0XX100.008072997772545745563844664257575359570241735,000$
8Nikita Pavlychev (R)0X100.008280855980474654685944664244445557560241700,000$
9Carsen Twarynski0XX100.008173996673515344503844634246465362540232775,833$
10Scott Sabourin0X100.008477996377464744503844654247475261540292700,000$
11Tanner Fritz (R)0X100.007469855669454453664754615144445657540301700,000$
12Aarne Talvitie (R)0XX100.007870965870515248604546624444445363540222842,500$
13Brendan Smith (C)0XXX100.0083995976786983582549507125737562476503214,350,000$
14Ben Harpur0X100.007846856588696358255547782561616461620262700,000$
15Dakota Mermis0X100.008142836771735562244848717955556049600273700,000$
16Jake Walman0X100.007643897165646461254348662553535861580252725,000$
17Gustav Olofsson0X100.007773867273626553255140633844445657560262750,000$
18Simon Benoit0X100.007973926473707747253840623844445458560232809,166$
Rayé
1Danick Martel0X100.0060645262646465625057615958555560415702600$
2Hudson Elynuik0X100.0073756863755860506347486046444454395502300$
3Tyrell Goulbourne0XX100.006670576370565947504246564444445040530271700,000$
4Hugh McGing (R)0X100.006961896761545649614151584844445443530232883,750$
5Nick DeSimone0X100.007872936572586053255239633744445436550262700,000$
6Trevor Carrick0X100.006870636670667150254540583844445237540272700,000$
MOYENNE D’ÉQUIPE100.00756781677160615547505164465151585257
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
1Alex D'Orio (R)100.00625468806260687164653044446361620
2Garret Sparks100.00585569806160546258573047475849590
Rayé
1Spencer Martin100.00565974735758526055543044445641560
2Louis Domingue100.00455164824144505245463059594734520
MOYENNE D’ÉQUIPE100.0055556979555656615656304949564657
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Don Granato71727181807469USA531500,000$


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
1Nic PetanAmericans (BUF)LW/RW148614680133472215411.11%528620.430226260001211051.72%2900010.9812000100
2Ty RonningAmericans (BUF)RW14771488091455134512.73%324517.552131026000002044.44%1800001.1412000010
3Joel KellmanAmericans (BUF)C1421113710030415221383.85%128420.300116260001200062.01%40800000.9101000110
4Jordan WealAmericans (BUF)C/LW/RW14111125409334512412.22%626018.640002300000250061.68%27400000.9200000011
5Brendan SmithAmericans (BUF)LW/RW/D1437105120471323121613.04%1932823.44202529000047000.00%100000.6100000110
6Gustav OlofssonAmericans (BUF)D1401010912032105570.00%823216.5900000000018000.00%000000.8600000002
7Zack KassianAmericans (BUF)LW/RW138210580261336122322.22%122217.12011330000052041.94%3100000.9000000101
8Ben HarpurAmericans (BUF)D1409961201913318300.00%2732923.510111129000150000.00%000000.5500000000
9Jake WalmanAmericans (BUF)D14279060178299116.90%2929421.040001027011145110.00%000000.6100000010
10Nikita PavlychevAmericans (BUF)C14358-21552125215914.29%219013.59000000001380053.76%26600000.8400010000
11Dakota MermisAmericans (BUF)D1424616026103111166.45%3129721.250001128101247000.00%000000.4012000000
12Simon BenoitAmericans (BUF)D14426980258133930.77%822416.010001100016000.00%000010.5400000100
13Parker KellyAmericans (BUF)C/RW1442652013172242118.18%222716.23000430000021158.06%3100000.5300000001
14Filip ChlapikAmericans (BUF)C/LW143251801392451812.50%318513.25000000000260056.82%4400000.5400000000
15Carsen TwarynskiAmericans (BUF)LW/RW14224060791631012.50%117512.53000010001240050.00%800000.4600000000
16Aarne TalvitieAmericans (BUF)C/LW141122403512498.33%01017.25000110000100100.00%100000.3900000000
17Scott SabourinAmericans (BUF)RW1410124079102810.00%414410.35000000000450066.67%900000.1400000000
18Tyrell GoulbourneAmericans (BUF)LW/RW1000100103110.00%066.430000000000000.00%000000.0000000000
19Tanner FritzAmericans (BUF)C140003205147790.00%1966.9000012000010056.93%13700000.0000000000
Statistiques d’équipe totales ou en moyenne252518813973135532328550715837510.06%151413216.4046107129411294277258.31%125700020.6737010555
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
1Alex D'OrioAmericans (BUF)116220.9202.7261721283510000.571795200
2Garret SparksAmericans (BUF)52200.8844.3623420171460100.000059010
Statistiques d’équipe totales ou en moyenne168420.9093.1785141454970100.57171414210


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
Aarne TalvitieAmericans (BUF)C/LW221999-02-11Yes198 Lbs5 ft11NoNoNo2Pro & Farm842,500$842,500$842,500$0$0$No842,500$Lien
Alex D'OrioAmericans (BUF)G221999-04-27Yes209 Lbs6 ft2NoNoNo3Pro & Farm733,333$733,333$733,333$0$0$No733,333$733,333$Lien
Ben HarpurAmericans (BUF)D261995-01-11No231 Lbs6 ft6NoNoNo2Pro & Farm700,000$700,000$700,000$0$0$No800,000$Lien / Lien NHL
Brendan SmithAmericans (BUF)LW/RW/D321989-02-08No200 Lbs6 ft2NoNoNo1Pro & Farm4,350,000$4,350,000$0$0$NoLien / Lien NHL
Carsen TwarynskiAmericans (BUF)LW/RW231997-11-24No198 Lbs6 ft2NoNoNo2Pro & Farm775,833$775,833$775,833$0$0$No750,000$Lien / Lien NHL
Dakota MermisAmericans (BUF)D271994-01-05No196 Lbs6 ft0NoNoNo3Pro & Farm700,000$700,000$627,000$0$0$No750,000$750,000$Lien / Lien NHL
Danick MartelAmericans (BUF)LW261994-12-12No184 Lbs5 ft9NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Filip ChlapikAmericans (BUF)C/LW241997-06-03No194 Lbs6 ft2NoNoNo1Pro & Farm735,000$735,000$728,333$0$0$NoLien / Lien NHL
Garret SparksAmericans (BUF)G281993-06-28No201 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$700,000$0$0$No750,000$Lien / Lien NHL
Gustav OlofssonAmericans (BUF)D261994-12-01No199 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$700,000$0$0$No750,000$Lien / Lien NHL
Hudson ElynuikAmericans (BUF)C231997-10-12No194 Lbs6 ft5NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Hugh McGingAmericans (BUF)C231998-07-11Yes174 Lbs5 ft9NoNoNo2Pro & Farm883,750$883,750$883,750$0$0$No883,750$Lien
Jake WalmanAmericans (BUF)D251996-02-20No170 Lbs6 ft1NoNoNo2Pro & Farm725,000$725,000$925,000$0$0$No725,000$Lien / Lien NHL
Joel KellmanAmericans (BUF)C271994-05-25No192 Lbs5 ft11NoNoNo2Farm Only750,000$750,000$550,000$0$0$No750,000$Lien / Lien NHL
Jordan WealAmericans (BUF)C/LW/RW291992-04-15No181 Lbs5 ft9NoNoNo1Pro & Farm1,400,000$1,400,000$500,000$0$0$NoLien / Lien NHL
Louis DomingueAmericans (BUF)G291992-03-06No208 Lbs6 ft3NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Nic PetanAmericans (BUF)LW/RW261995-03-22No175 Lbs5 ft9NoNoNo2Pro & Farm775,000$775,000$863,000$0$0$No750,000$Lien / Lien NHL
Nick DeSimoneAmericans (BUF)D261994-11-21No190 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$925,000$0$0$No750,000$Lien / Lien NHL
Nikita PavlychevAmericans (BUF)C241997-03-23Yes201 Lbs6 ft7NoNoNo1Pro & Farm700,000$700,000$700,000$0$0$NoLien
Parker KellyAmericans (BUF)C/RW221999-05-14No196 Lbs6 ft0NoNoNo2Pro & Farm726,667$726,667$700,000$0$0$No726,667$Lien / Lien NHL
Scott SabourinAmericans (BUF)RW291992-07-30No208 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$550,000$0$0$No750,000$Lien / Lien NHL
Simon BenoitAmericans (BUF)D231998-09-19No191 Lbs6 ft3NoNoNo2Pro & Farm809,166$809,166$575,000$0$0$No809,166$Lien / Lien NHL
Spencer MartinAmericans (BUF)G261995-06-08No191 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$700,000$0$0$No800,000$Lien / Lien NHL
Tanner FritzAmericans (BUF)C301991-08-20Yes192 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$600,000$0$0$NoLien / Lien NHL
Trevor CarrickAmericans (BUF)D271994-07-04No186 Lbs6 ft2NoNoNo2Farm Only700,000$700,000$777,777$0$0$No750,000$Lien / Lien NHL
Ty RonningAmericans (BUF)RW231997-10-20No172 Lbs5 ft9NoNoNo2Pro & Farm750,833$750,833$750,833$0$0$No750,000$Lien / Lien NHL
Tyrell GoulbourneAmericans (BUF)LW/RW271994-01-26No195 Lbs5 ft11NoNoNo1Farm Only700,000$700,000$775,000$0$0$NoLien / Lien NHL
Zack KassianAmericans (BUF)LW/RW301991-01-24No211 Lbs6 ft3NoNoNo4Pro & Farm3,200,000$3,200,000$0$0$No3,200,000$3,200,000$3,200,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.89194 Lbs6 ft11.75927,039$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanJoel KellmanTy Ronning40122
2Zack KassianJordan WealParker Kelly30122
3Filip ChlapikNikita PavlychevCarsen Twarynski20122
4Aarne TalvitieTanner FritzScott Sabourin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithBen Harpur40122
2Dakota MermisJake Walman30122
3Simon BenoitGustav Olofsson20122
4Simon BenoitGustav Olofsson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nic PetanJoel KellmanTy Ronning60122
2Zack KassianJordan WealParker Kelly40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithBen Harpur60122
2Dakota MermisJake Walman40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nikita PavlychevScott Sabourin60122
2Filip ChlapikCarsen Twarynski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithBen Harpur60122
2Dakota MermisJake Walman40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nikita Pavlychev60122Brendan SmithBen Harpur60122
2Filip Chlapik40122Dakota MermisJake Walman40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joel KellmanNic Petan60122
2Jordan WealZack Kassian40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brendan SmithBen Harpur60122
2Dakota MermisJake Walman40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJoel KellmanZack KassianBrendan SmithBen Harpur
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nic PetanJoel KellmanJordan WealBrendan SmithBen Harpur
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Zack Kassian, Nic Petan, Filip ChlapikTanner Fritz, Aarne TalvitieJordan Weal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Simon Benoit, Dakota Mermis, Brendan SmithSimon BenoitGustav Olofsson, Simon Benoit
Tirs de pénalité
Dakota Mermis, Nic Petan, Ty Ronning, Joel Kellman, Parker Kelly
Gardien
#1 : Garret Sparks, #2 : Alex D'Orio


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
1Bruins 210010001073110000004221000100065141.000101525001918134681541761651975192053400.00%10190.00%130451059.61%28650456.75%14324358.85%35124331810118294
2Crunch21100000651110000004041010000025-320.50061016011918134501541761651976163046400.00%14285.71%030451059.61%28650456.75%14324358.85%35124331810118294
3Griffins21100000981110000005321010000045-120.500914230019181347915417616519702025503133.33%9277.78%030451059.61%28650456.75%14324358.85%35124331810118294
4Marlies20100010770100000105411010000023-120.50071219001918134651541761651985291654400.00%8362.50%030451059.61%28650456.75%14324358.85%35124331810118294
5Rocket20100100610-41000010045-11010000025-310.250612180019181346415417616519713014421218.33%6266.67%030451059.61%28650456.75%14324358.85%35124331810118294
6Thunderbirds210000015501000000123-11100000032130.75059140019181341011541761651970211648200.00%8187.50%030451059.61%28650456.75%14324358.85%35124331810118294
7senators22000000945110000005231100000042241.000916250019181348015417616519501618307228.57%9277.78%030451059.61%28650456.75%14324358.85%35124331810118294
Total1464011115246674000111291910724010002327-4180.64352881400119181345071541761651949715113932336411.11%641379.69%130451059.61%28650456.75%14324358.85%35124331810118294
_Since Last GM Reset1464011115246674000111291910724010002327-4180.64352881400119181345071541761651949715113932336411.11%641379.69%130451059.61%28650456.75%14324358.85%35124331810118294
_Vs Conference1464011115246674000111291910724010002327-4180.64352881400119181345071541761651949715113932336411.11%641379.69%130451059.61%28650456.75%14324358.85%35124331810118294
_Vs Division1464011115246674000111291910724010002327-4180.64352881400119181345071541761651949715113932336411.11%641379.69%130451059.61%28650456.75%14324358.85%35124331810118294

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1418W2528814050749715113932301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
146411115246
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74001112919
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72410002327
Derniers 10 matchs
WLOTWOTL SOWSOL
630100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
36411.11%641379.69%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
154176165191918134
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
30451059.61%28650456.75%14324358.85%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
35124331810118294


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 - 2021-09-0713Griffins3Americans5WSommaire du match
4 - 2021-09-0931Thunderbirds3Americans2LXXSommaire du match
5 - 2021-09-1052Americans2Marlies3LSommaire du match
6 - 2021-09-1159Americans4senators2WSommaire du match
8 - 2021-09-1374Rocket5Americans4LXSommaire du match
9 - 2021-09-1490Bruins 2Americans4WSommaire du match
11 - 2021-09-16109Americans3Thunderbirds2WSommaire du match
12 - 2021-09-17119senators2Americans5WSommaire du match
13 - 2021-09-18123Americans2Rocket5LSommaire du match
16 - 2021-09-21150Crunch0Americans4WSommaire du match
17 - 2021-09-22162Americans2Crunch5LSommaire du match
18 - 2021-09-23170Americans4Griffins5LSommaire du match
19 - 2021-09-24174Americans6Bruins 5WXSommaire du match
21 - 2021-09-26200Marlies4Americans5WXXSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,595,708$ 1,658,235$ 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
0$ 1 0$ 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