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Connexion

Americans
GP: 59 | W: 33 | L: 18 | OTL: 8 | P: 74
GF: 198 | GA: 173 | PP%: 29.59% | PK%: 70.83%
DG: Jurgen Aagaard | Morale : 55 | Moyenne d’équipe : 57
Prochains matchs #917 vs Barracuda

Centre de jeu
Moose
26-22-10, 62pts
1
2 Americans
33-18-8, 74pts
Team Stats
L2SéquenceW2
12-12-6Fiche domicile18-6-5
14-10-4Fiche domicile15-12-3
3-5-2Derniers 10 matchs5-4-1
1.84Buts par match 3.36
2.07Buts contre par match 2.93
24.58%Pourcentage en avantage numérique29.59%
76.99%Pourcentage en désavantage numérique70.83%
Americans
33-18-8, 74pts
3
2 Eagles
17-25-15, 49pts
Team Stats
W2SéquenceL2
18-6-5Fiche domicile9-15-6
15-12-3Fiche domicile8-10-9
5-4-1Derniers 10 matchs2-5-3
3.36Buts par match 2.21
2.93Buts contre par match 3.07
29.59%Pourcentage en avantage numérique35.88%
70.83%Pourcentage en désavantage numérique69.47%
Barracuda
39-14-6, 84pts
Jour 73
Americans
33-18-8, 74pts
Statistiques d’équipe
W2SéquenceW2
19-8-2Fiche domicile18-6-5
20-6-4Fiche visiteur15-12-3
6-3-110 derniers matchs5-4-1
1.92Buts par match 3.36
1.56Buts contre par match 3.36
24.14%Pourcentage en avantage numérique29.59%
85.71%Pourcentage en désavantage numérique70.83%
Americans
33-18-8, 74pts
Jour 74
Checkers
25-24-9, 59pts
Statistiques d’équipe
W2SéquenceL1
18-6-5Fiche domicile15-9-5
15-12-3Fiche visiteur10-15-4
5-4-110 derniers matchs6-3-1
3.36Buts par match 2.36
2.93Buts contre par match 2.36
29.59%Pourcentage en avantage numérique31.30%
70.83%Pourcentage en désavantage numérique70.00%
Bears
43-12-4, 90pts
Jour 75
Americans
33-18-8, 74pts
Statistiques d’équipe
W1SéquenceW2
22-6-1Fiche domicile18-6-5
21-6-3Fiche visiteur15-12-3
7-3-010 derniers matchs5-4-1
3.34Buts par match 3.36
2.24Buts contre par match 3.36
29.48%Pourcentage en avantage numérique29.59%
70.97%Pourcentage en désavantage numérique70.83%
Meneurs d'équipe
Buts
Angus Crookshank
31
Passes
Jacob Gaucher
39
Points
Axel Jonsson-Fjallby
60
Plus/Moins
Aleksandr Kisakov
19
Victoires
Callum Tung
25
Pourcentage d’arrêts
Drew Commesso
0.873

Statistiques d’équipe
Buts pour
198
3.36 GFG
Tirs pour
1497
25.37 Avg
Pourcentage en avantage numérique
29.6%
50 GF
Début de zone offensive
36.5%
Buts contre
173
2.93 GAA
Tirs contre
1272
21.56 Avg
Pourcentage en désavantage numérique
70.8%%
49 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralJurgen Aagaard
EntraîneurJay Woodcroft
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,685
Billets de saison1,500


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 100
Espoirs64


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
1Angus Crookshank (R)X100.007165837465818666506069616247476476640261838,333$
2Noah Ostlund (R)X100.0072648870656869678061696264464564716302231,337,000$
3Jacob Gaucher (R)X100.0075717974728390617457616257464661816302512,999,000$
4Axel Jonsson-FjallbyXX100.0078728966727580587056586353464759756102811,000,000$
5Konsta Helenius (R)X100.0074678868695554627559606255464659785901931,289,000$
6Jon-Randall AvonX100.0073649466667176506446495948464655745602212,999,000$
7Graham SlaggertX100.0074707965705555546948566054464656805602712,999,000$
8Coulson Pitre (R)X100.0075699066717076505051465944464653725602131,277,000$
9Matthew Wood (R)X100.0085799981804850445039436442464552655502131,269,000$
10Aleksandr KisakovX100.0067627964644239555044635759464656785402311,000,000$
11Jagger JoshuaX100.0069794062794241505049465643464648805202712,999,000$
12Anthony CallinXXX100.0078709980703230435537436042464550715102711,000,000$
13Victor Mancini (R)X100.0078459075856771612557527025484859696502331,538,000$
14Maxence GuenetteX100.0081788267807075552544516448464657806202431,290,000$
15Marshall RifaiX100.0074756663757279482538435839464649735802812,999,000$
16Filip Kral (R)X100.0074698566695353542549456143464653525702631,349,000$
17Chris HarpurX100.0080769461763735482540396337454550595402911,000,000$
18Cam McDonald (R)X100.0067618660613837422531385437454545655002511,000,000$
Rayé
1Axel Landen (R)X94.0580729981734951422529416037464648635702131,278,000$
MOYENNE D’ÉQUIPE99.69756985697258605348475161474646557258
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
1Callum Tung (R)100.004540508046894749918145464658806102211,000,000$
2Drew Commesso (R)100.00595366706163566364623045455876590232925,000$
Rayé
1Gabriel Carriere100.004740507349515053535230444450235102511,000,000$
MOYENNE D’ÉQUIPE100.0050445574526851556965354545556057
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jay Woodcroft80808080808080CAN3911,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Axel Jonsson-FjallbyAmericans (BUF)C/LW592337609231511698141389916.31%19112719.1171219201140004534051.84%6523816001.0612111713
2Angus CrookshankAmericans (BUF)LW53312758-44620103701874412716.58%25103919.6110132329991123822445.15%6914222021.1222013662
3Jacob GaucherAmericans (BUF)C59183957-411145112721625211411.11%25124921.18614202812811271165057.69%783716000.9116315330
4Noah OstlundAmericans (BUF)C50242852-678407157144427116.67%1687317.47681425881013683450.00%1001810011.1912125514
5Konsta HeleniusAmericans (BUF)C59202848828209779130307615.38%18104617.734812201060000101151.85%543215000.9212022037
6Spencer StastneySabresD4372532210044799138347.69%3989020.713691361112158200%02031000.7200000222
7Victor ManciniAmericans (BUF)D4282331116092579937388.08%50113427.02347191030115104110%03334000.5500000123
8Aleksandr KisakovAmericans (BUF)LW591712291945158144105366816.19%1080613.6600004011035046.81%47147000.7200210442
9Coulson PitreAmericans (BUF)RW5991524-62515886760223815.00%17100216.9836914106000002044.01%5841416000.4814120013
10Jagger JoshuaAmericans (BUF)LW59111021145351855255202520.00%1190815.4125711700001721249.72%1811312000.4605001131
11Maxence GuenetteAmericans (BUF)D5921820-81015596896622353.03%58139623.670333970111107000%02432000.2900227010
12Marshall RifaiAmericans (BUF)D5941418-110230119866228246.45%45140723.85123898101181000%01641100.2600024001
13Graham SlaggertAmericans (BUF)C59513181158301305135152814.29%1192115.6100001000012075.00%2844000.3900114023
14Matthew WoodAmericans (BUF)RW51312151515154738409267.50%561812.13000210000000044.71%17089000.4800210010
15Axel LandenAmericans (BUF)D5641014111010495030171713.33%2989616.004599105011067000%0612000.3100011020
16Filip KralAmericans (BUF)D5629111029559614820134.17%3198417.59112426000047000%01623000.2200001101
17Jon-Randall AvonAmericans (BUF)C59551050067523291515.63%1067111.38000090113651050.77%260411000.3000000010
18Logan StankovenSabresC/RW8224300913841025.00%111714.6500001000001152.17%2341000.6800000000
19Anthony CallinAmericans (BUF)C/LW/RW59011200621120%1651.11000010000000100.00%100000.3100000000
20Chris HarpurAmericans (BUF)D20000200331130%41829.150000100018000%00100000000000
21Cam McDonaldAmericans (BUF)D49000340920000%01833.750000000003000%00100000000000
Statistiques d’équipe totales ou en moyenne107719532852311573432015831122149748586313.03%4251752216.2750871372051238581330955301348.24%2869343314130.60723131734303332
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
1Callum TungAmericans (BUF)52251770.8642.922898011411033452410.765174910201
2Tristan JarrySabres106110.8802.315200120167921000100000
3Drew CommessoAmericans (BUF)52000.8733.701460097137000.6005049000
Statistiques d’équipe totales ou en moyenne67331880.8662.86356502170127158151225959201


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
Aleksandr KisakovAmericans (BUF)LW232002-11-01RUSNo170 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-10-02CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm838,333$299,405$0$0$No---------------------------Lien
Anthony CallinAmericans (BUF)C/LW/RW271998-12-23USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Axel Jonsson-FjallbyAmericans (BUF)C/LW281998-02-10SWENo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Axel LandenAmericans (BUF)D212005-03-29SWEYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$456,429$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Callum TungAmericans (BUF)G222003-11-23CZEYes198 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$357,143$0$0$No---------872,500$872,500$----------------Lien
Cam McDonaldAmericans (BUF)D252001-02-03USAYes174 Lbs5 ft9NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Chris HarpurAmericans (BUF)D291996-09-13ONTNo201 Lbs6 ft3NoNoAssign ManuallyNoNo12026-03-09FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Coulson PitreAmericans (BUF)RW212004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$456,071$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Drew CommessoAmericans (BUF)G232002-07-19USAYes180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm925,000$330,357$0$0$No925,000$--------925,000$--------No--------Lien
Filip KralAmericans (BUF)D261999-10-08CZEYes172 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,349,000$481,786$0$0$No1,349,000$1,349,000$-------1,349,000$1,349,000$-------NoNo-------Lien
Gabriel CarriereAmericans (BUF)G252000-11-06CANNo185 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$357,143$0$0$No---------------------------Lien
Graham SlaggertAmericans (BUF)C271999-04-06USANo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,071,071$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C252001-03-09CANYes185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,071,071$0$0$No---------------------------Lien
Jagger JoshuaAmericans (BUF)LW271999-03-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,071,071$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C222003-07-04CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,071,071$0$0$No---------------------------Lien
Konsta HeleniusAmericans (BUF)C192006-05-11FINYes189 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,289,000$460,357$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Marshall RifaiAmericans (BUF)D281998-03-16CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$1,071,071$0$0$No---------------------------Lien
Matthew WoodAmericans (BUF)RW212005-02-06CANYes205 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$453,214$0$0$No1,269,000$1,269,000$-------1,269,000$1,269,000$-------NoNo-------Lien
Maxence GuenetteAmericans (BUF)D242001-04-28CANNo210 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,290,000$460,714$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Noah OstlundAmericans (BUF)C222004-03-11SWEYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,337,000$477,500$0$0$No1,337,000$1,337,000$-------1,337,000$1,337,000$-------NoNo-------Lien
Victor ManciniAmericans (BUF)D232002-05-26USAYes229 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,538,000$549,286$0$0$No1,538,000$1,538,000$-------1,538,000$1,538,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.27191 Lbs6 ft11.771,562,970$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherCoulson PitreAngus Crookshank40122
2Konsta HeleniusAxel Jonsson-FjallbyGraham Slaggert30122
3Jacob GaucherJon-Randall AvonCoulson Pitre20122
4Aleksandr KisakovAngus CrookshankJagger Joshua10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip KralVictor Mancini40122
2Maxence GuenetteMarshall Rifai30122
3Marshall RifaiMaxence Guenette20122
4Maxence GuenetteMarshall Rifai10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherAxel Jonsson-FjallbyAngus Crookshank60122
2Konsta HeleniusJagger JoshuaCoulson Pitre40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip KralVictor Mancini60122
2Marshall RifaiMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jagger JoshuaJacob Gaucher60122
2Axel Jonsson-FjallbyJon-Randall Avon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Filip KralMaxence Guenette60122
2Chris HarpurMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jacob Gaucher60122Maxence GuenetteMarshall Rifai60122
2Axel Jonsson-Fjallby40122Cam McDonaldFilip Kral40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Konsta HeleniusJagger Joshua60122
2Jacob GaucherGraham Slaggert40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris HarpurMaxence Guenette60122
2Filip KralMarshall Rifai40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyAngus CrookshankMarshall RifaiMaxence Guenette
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAxel Jonsson-FjallbyAngus CrookshankMarshall RifaiMaxence Guenette
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksandr Kisakov, Jacob Gaucher, Jagger JoshuaJacob Gaucher, Konsta HeleniusJacob Gaucher
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marshall Rifai, Filip Kral, Maxence GuenetteMaxence GuenetteMaxence Guenette, Marshall Rifai
Tirs de pénalité
Coulson Pitre, Jagger Joshua, Jacob Gaucher, Axel Jonsson-Fjallby, Konsta Helenius
Gardien
#1 : Callum Tung, #2 : Drew Commesso


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
1Admirals3300000013673300000013670000000000061.00013233600378570107937263248629691452999222.22%6183.33%0536103851.64%503104348.23%34576345.22%108746510946501386658
2Barracuda1010000024-2000000000001010000024-200.000235003785701025372632486292062624300.00%30100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
3Bruins2020000014-31010000012-11010000002-200.0001230037857010403726324862930181054200.00%5260.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
4Canucks11000000422110000004220000000000021.00046100037857010223726324862926128262150.00%40100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
5Checkers20100100710-31000010034-11010000046-210.2507121900378570105337263248629431129544125.00%7271.43%2536103851.64%503104348.23%34576345.22%108746510946501386658
6Comets411000021214-21000000134-131100001910-140.50012233500378570101043726324862982234510312758.33%10550.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
7Condors1000010045-11000010045-10000000000010.5004610003785701036372632486293152334375.00%10100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
8Crunch21000010862110000002111000001065141.000811190037857010573726324862928841595240.00%3233.33%0536103851.64%503104348.23%34576345.22%108746510946501386658
9Eagles43001000176111100000052332001000124881.000172744003785701094372632486297232501149111.11%10370.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
10Griffins2110000068-2110000004311010000025-320.5006101600378570105637263248629518225112325.00%6350.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
11Gulls21001000523100010003211100000020241.00059140137857010483726324862931816287228.57%30100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
12Heat4210010011101320001009721010000023-150.62511172800378570109837263248629104418210412216.67%16568.75%0536103851.64%503104348.23%34576345.22%108746510946501386658
13IceHogs22000000523110000003121100000021141.000510150037857010463726324862929145506350.00%000%0536103851.64%503104348.23%34576345.22%108746510946501386658
14Islanders21100000770110000005321010000024-220.5007132000378570106337263248629641814557457.14%70100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
15Monsters211000009721010000002-21100000095420.50091423003785701044372632486293583656400.00%8450.00%1536103851.64%503104348.23%34576345.22%108746510946501386658
16Moose4210010012843200010011561010000013-250.62512203201378570109937263248629391734104600.00%8275.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
17Penguins32000100936110000004132100010052350.8339152400378570107837263248629542335875120.00%10280.00%1536103851.64%503104348.23%34576345.22%108746510946501386658
18Phantoms10001000211000000000001000100021121.000235003785701022372632486291671325100.00%40100.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
19Reign11000000532000000000001100000053221.0005914003785701029372632486292872309333.33%110.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
20Roadrunners20200000414-101010000037-41010000017-600.0004711003785701062372632486297131625010330.00%6350.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
21Rocket10000010871000000000001000001087121.0008132100378570103737263248629345231400.00%110.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
22Senators21100000862110000004131010000045-120.5008111900378570103637263248629551922528225.00%6350.00%0536103851.64%503104348.23%34576345.22%108746510946501386658
23Silver Knights11000000725000000000001100000072521.000712190037857010293726324862920633217342.86%40100.00%1536103851.64%503104348.23%34576345.22%108746510946501386658
24Stars31100100880211000007611000010012-130.5008132100378570107437263248629642012838337.50%6183.33%0536103851.64%503104348.23%34576345.22%108746510946501386658
25Thunderbirds11000000532000000000001100000053221.00051015003785701034372632486293771627100.00%3166.67%0536103851.64%503104348.23%34576345.22%108746510946501386658
26Wild21100000880110000004221010000046-220.500813210037857010443726324862969291854100.00%9188.89%0536103851.64%503104348.23%34576345.22%108746510946501386658
27Wolf Pack2020000038-51010000025-31010000013-200.00035800378570104037263248629401323555120.00%9277.78%0536103851.64%503104348.23%34576345.22%108746510946501386658
28Wolves2010001089-11010000035-21000001054120.5008111910378570104837263248629301524546350.00%12558.33%0536103851.64%503104348.23%34576345.22%108746510946501386658
Total5927180363219817325291760140197762130101202231101974740.6271983285261237857010149737263248629127242573415831695029.59%1684970.83%5536103851.64%503104348.23%34576345.22%108746510946501386658
_Since Last GM Reset5927180363219817325291760140197762130101202231101974740.6271983285261237857010149737263248629127242573415831695029.59%1684970.83%5536103851.64%503104348.23%34576345.22%108746510946501386658
_Vs Conference3217802500106871917122003006444201556022004243-1430.672106179285013785701084137263248629712236423883932324.73%902473.33%3536103851.64%503104348.23%34576345.22%108746510946501386658
_Vs Division1613401500504916101003001720-310330120033294331.0315084134103785701039937263248629321107190435401640.00%601870.00%2536103851.64%503104348.23%34576345.22%108746510946501386658

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5974W219832852614971272425734158312
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5927183632198173
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2917614019776
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
301012223110197
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1695029.59%1684970.83%5
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
3726324862937857010
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
536103851.64%503104348.23%34576345.22%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
108746510946501386658


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
15Americans1Stars2LXSommaire du match
219Penguins1Americans4WSommaire du match
441Moose0Americans6WSommaire du match
547Americans4Checkers6LSommaire du match
664Americans7Eagles1WSommaire du match
881Heat2Americans4WSommaire du match
999Americans5Penguins1WSommaire du match
10115Wolf Pack5Americans2LSommaire du match
11125Americans4Comets6LSommaire du match
13147Admirals1Americans3WSommaire du match
14165Stars2Americans5WSommaire du match
15180Americans7Silver Knights2WSommaire du match
16192Americans5Thunderbirds3WSommaire du match
17202Americans2Heat3LSommaire du match
18216Moose4Americans3LXSommaire du match
20236Eagles2Americans5WSommaire du match
21256Admirals1Americans2WSommaire du match
23269Americans0Penguins1LXSommaire du match
24285Stars4Americans2LSommaire du match
25298Americans1Roadrunners7LSommaire du match
27309Americans8Rocket7WXXSommaire du match
28326Checkers4Americans3LXSommaire du match
29346Islanders3Americans5WSommaire du match
30360Americans2Islanders4LSommaire du match
31376Gulls2Americans3WXSommaire du match
32390Americans0Bruins2LSommaire du match
34408Americans4Wild6LSommaire du match
35421Wild2Americans4WSommaire du match
36439Americans2Griffins5LSommaire du match
37456Americans2Gulls0WSommaire du match
38462IceHogs1Americans3WSommaire du match
40483Admirals4Americans8WSommaire du match
41505Americans2Eagles1WXSommaire du match
42518Americans1Comets2LXXSommaire du match
43528Heat3Americans2LXSommaire du match
44547Heat2Americans3WSommaire du match
45560Americans2Barracuda4LSommaire du match
46576Comets4Americans3LXXSommaire du match
47592Americans4Senators5LSommaire du match
48607Canucks2Americans4WSommaire du match
49617Americans4Comets2WSommaire du match
50640Americans1Wolf Pack3LSommaire du match
51650Crunch1Americans2WSommaire du match
52671Griffins3Americans4WSommaire du match
53677Americans2IceHogs1WSommaire du match
54697Roadrunners7Americans3LSommaire du match
56718Americans2Phantoms1WXSommaire du match
57733Senators1Americans4WSommaire du match
59751Americans9Monsters5WSommaire du match
60765Condors5Americans4LXSommaire du match
61783Americans5Reign3WSommaire du match
63796Wolves5Americans3LSommaire du match
64811Americans5Wolves4WXXSommaire du match
65826Bruins2Americans1LSommaire du match
67846Americans6Crunch5WXXSommaire du match
68856Monsters2Americans0LSommaire du match
69872Americans1Moose3LSommaire du match
70888Moose1Americans2WSommaire du match
72900Americans3Eagles2WSommaire du match
73917Barracuda-Americans-
74935Americans-Checkers-
75945Bears-Americans-
78968Americans-Marlies-
79978Americans-Bears-
80987Silver Knights-Americans-
811011Eagles-Americans-
831028Americans-Checkers-
841041Americans-Canucks-
851051Eagles-Americans-
871075Phantoms-Americans-
881089Americans-Moose-
901107Penguins-Americans-
911126Monsters-Americans-
921141Americans-Stars-
931156Americans-Thunderbirds-
951168Marlies-Americans-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
971192Thunderbirds-Americans-
981211Americans-Admirals-
991219Rocket-Americans-
1011237Americans-Condors-
1021252Americans-Stars-
1031257Americans-Heat-
1041267Penguins-Americans-
1061293Reign-Americans-
1091314Checkers-Americans-
1101318Americans-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2615
Assistance55,91321,962
Assistance PCT96.40%75.73%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
14 2685 - 89.51% 91,618$2,656,920$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,853,646$ 3,438,533$ 3,438,533$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
30,701$ 2,210,768$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,282,651$ 40 39,630$ 1,585,200$




Americans 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

Americans 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

Americans 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

Americans 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

Americans 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