Connexion

Americans
GP: 5 | W: 3 | L: 1 | OTL: 1 | P: 7
GF: 22 | GA: 10 | PP%: 0.00% | PK%: 80.00%
DG: Jurgen Aagaard | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #81 vs Heat
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Centre de jeu
Americans
3-1-1, 7pts
4
FINAL
6 Checkers
2-1-2, 6pts
Team Stats
W1SéquenceW2
2-0-0Fiche domicile2-0-1
1-1-1Fiche domicile0-1-1
3-1-1Derniers 10 matchs2-1-2
4.40Buts par match 3.80
2.00Buts contre par match 3.60
0.00%Pourcentage en avantage numérique26.67%
80.00%Pourcentage en désavantage numérique66.67%
Americans
3-1-1, 7pts
7
FINAL
1 Eagles
2-3-0, 4pts
Team Stats
W1SéquenceL2
2-0-0Fiche domicile1-2-0
1-1-1Fiche domicile1-1-0
3-1-1Derniers 10 matchs2-3-0
4.40Buts par match 2.40
2.00Buts contre par match 3.80
0.00%Pourcentage en avantage numérique72.73%
80.00%Pourcentage en désavantage numérique63.64%
Heat
3-2-0, 6pts
Jour 8
Americans
3-1-1, 7pts
Statistiques d’équipe
W1SéquenceW1
1-1-0Fiche domicile2-0-0
2-1-0Fiche visiteur1-1-1
3-2-010 derniers matchs3-1-1
3.40Buts par match 4.40
3.20Buts contre par match 4.40
35.29%Pourcentage en avantage numérique0.00%
62.50%Pourcentage en désavantage numérique80.00%
Americans
3-1-1, 7pts
Jour 9
Penguins
1-4-0, 2pts
Statistiques d’équipe
W1SéquenceL1
2-0-0Fiche domicile1-1-0
1-1-1Fiche visiteur0-3-0
3-1-110 derniers matchs1-4-0
4.40Buts par match 2.60
2.00Buts contre par match 2.60
0.00%Pourcentage en avantage numérique35.29%
80.00%Pourcentage en désavantage numérique53.85%
Wolf Pack
3-2-0, 6pts
Jour 10
Americans
3-1-1, 7pts
Statistiques d’équipe
W1SéquenceW1
2-1-0Fiche domicile2-0-0
1-1-0Fiche visiteur1-1-1
3-2-010 derniers matchs3-1-1
3.40Buts par match 4.40
4.20Buts contre par match 4.40
16.67%Pourcentage en avantage numérique0.00%
71.43%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Buts
Angus Crookshank
5
Passes
Spencer Stastney
8
Points
Spencer Stastney
9
Plus/Moins
Spencer Stastney
10
Tristan JarryVictoires
Tristan Jarry
3
Tristan JarryPourcentage d’arrêts
Tristan Jarry
0.897

Statistiques d’équipe
Buts pour
22
4.40 GFG
Tirs pour
146
29.20 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
41.3%
Buts contre
10
2.00 GAA
Tirs contre
92
18.40 Avg
Pourcentage en désavantage numérique
80.0%%
3 GA
Début de la zone défensive
29.4%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,660
Billets de saison1,500


Informations de la formation

Équipe Pro20
Équipe Mineure18
Limite contact 38 / 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)X100.007065837465818665505867626246466552630261838,333$
2Noah Ostlund (R)X100.0072648969646869658059676364444466536202131,337,000$
3Jacob Gaucher (R)X100.0074718073718390597453606357444463536202412,999,000$
4Axel Jonsson-FjallbyXX100.0077728866727580567052576453444561536002711,000,000$
5Konsta Helenius (R)X100.0073678766675554607557586355444461535801931,289,000$
6Jon-Randall AvonX100.0073649364647176516447506048444457535602212,999,000$
7Graham SlaggertX100.0073707965705555556948576154444458535602612,999,000$
8Coulson Pitre (R)X100.0075698964697076505050466144444455525602131,277,000$
9Matthew Wood (R)X100.0085799980794850445038446542444454535402031,269,000$
10Aleksandr KisakovX100.0067627962624239555044635859444458565302311,000,000$
11Jagger JoshuaX100.0067793962794241505049455743444450535102612,999,000$
12Anthony CallinXXX100.0079709980703230445538446242444452525102611,000,000$
13Spencer StastneyX100.006141947667696564255650792550516056650251925,000$
14Victor Mancini (R)X100.0077458974846771592554487025474760516402331,538,000$
15Maxence GuenetteX100.0080788365787075542542516548444459546102431,290,000$
16Marshall RifaiX100.0073756763757279472537415939444451535802712,999,000$
17Filip Kral (R)X100.0074698566695353542549456243444455535702631,349,000$
18Axel Landen (R)X100.0080729980724951412528396137444450525602031,278,000$
Rayé
MOYENNE D’ÉQUIPE100.00746785697161635449485263474545585358
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
1Tristan Jarry100.006372717665606964656371676764576503032,995,500$
2Callum Tung (R)100.004440508045894549908145444460536002211,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0054566178557557577872585656625563
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
1Spencer StastneyAmericans (BUF)D5189100069181145.56%1014128.31000111011014000%064001.2700000100
2Angus CrookshankAmericans (BUF)LW5527224101142171323.81%111723.500002101011120048.78%12322001.1900011010
3Aleksandr KisakovAmericans (BUF)LW543770053106740.00%16813.6600000000001060.00%501002.0500000101
4Noah OstlundAmericans (BUF)C5336227151052061015.00%19018.1800018101181046.15%1332001.3200012003
5Axel Jonsson-FjallbyAmericans (BUF)C/LW541555589185622.22%39418.8100019000171063.64%4430001.0600001100
6Victor ManciniAmericans (BUF)D5044700975330%712725.46000111011014000%021000.6300000000
7Konsta HeleniusAmericans (BUF)C513450069114119.09%08517.0900008000010020.00%501000.9400000010
8Matthew WoodAmericans (BUF)RW51345008371114.29%15711.5400001000000054.17%2401001.3900000000
9Jon-Randall AvonAmericans (BUF)C52133003331366.67%25911.8300000011060048.15%2701001.0100000000
10Jacob GaucherAmericans (BUF)C503338010214770%210020.120001100000100075.00%802000.6001000000
11Maxence GuenetteAmericans (BUF)D5033575496110%310020.080000600001000%012000.6000001000
12Jagger JoshuaAmericans (BUF)LW511244016123450.00%16713.45000000000100100.00%101000.5900000010
13Marshall RifaiAmericans (BUF)D5011660615210%111222.480001900007000%023000.1800000000
14Graham SlaggertAmericans (BUF)C5011520951330%07414.97000000000000100.00%412000.2700000000
15Coulson PitreAmericans (BUF)RW5011200543130%05911.890000900000000%011000.3400000000
16Filip KralAmericans (BUF)D5000400222110%07014.060000000009000%01100000000000
17Anthony CallinAmericans (BUF)C/LW/RW5000000000000%020.550000000000000%00000000000000
18Axel LandenAmericans (BUF)D5000000130000%0469.290000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne9022386075833511979146627815.07%33147616.400008992353973053.15%2542225000.8101025334
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
1Tristan JarryAmericans (BUF)53010.8971.812660187846000050000
2Callum TungAmericans (BUF)10100.8573.6433002144000005000
Statistiques d’équipe totales ou en moyenne63110.8912.003000110925000055000


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$937,500$0$0$No---------------------------Lien
Angus CrookshankAmericans (BUF)LW261999-10-02CANYes183 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm838,333$785,937$0$0$No---------------------------Lien
Anthony CallinAmericans (BUF)C/LW/RW261998-12-23USANo185 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$937,500$0$0$No---------------------------Lien
Axel Jonsson-FjallbyAmericans (BUF)C/LW271998-02-10SWENo198 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$937,500$0$0$No---------------------------Lien
Axel LandenAmericans (BUF)D202005-03-29SWEYes195 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,278,000$1,198,125$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$937,500$0$0$No---------872,500$872,500$----------------Lien
Coulson PitreAmericans (BUF)RW212004-12-13CANYes185 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,277,000$1,197,188$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Lien
Filip KralAmericans (BUF)D261999-10-08CZEYes172 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,349,000$1,264,688$0$0$No1,349,000$1,349,000$-------1,349,000$1,349,000$-------NoNo-------Lien
Graham SlaggertAmericans (BUF)C261999-04-06USANo195 Lbs5 ft11NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,811,562$0$0$No---------------------------Lien
Jacob GaucherAmericans (BUF)C242001-03-09CANYes185 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,811,562$0$0$No---------------------------Lien
Jagger JoshuaAmericans (BUF)LW261999-03-29USANo210 Lbs6 ft3NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,811,562$0$0$No---------------------------Lien
Jon-Randall AvonAmericans (BUF)C222003-07-04CANNo174 Lbs6 ft0NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,811,562$0$0$No---------------------------Lien
Konsta HeleniusAmericans (BUF)C192006-05-11FINYes189 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,289,000$1,208,438$0$0$No1,289,000$1,289,000$-------1,289,000$1,289,000$-------NoNo-------Lien
Marshall RifaiAmericans (BUF)D271998-03-16CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-08-28FalseFalsePro & Farm2,999,000$2,811,562$0$0$No---------------------------Lien
Matthew WoodAmericans (BUF)RW202005-02-06CANYes205 Lbs6 ft5NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,269,000$1,189,688$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$1,209,375$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Lien
Noah OstlundAmericans (BUF)C212004-03-11SWEYes175 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,337,000$1,253,438$0$0$No1,337,000$1,337,000$-------1,337,000$1,337,000$-------NoNo-------Lien
Spencer StastneyAmericans (BUF)D252000-01-04USANo184 Lbs6 ft0NoNoTrade2024-12-13NoNo1FalseFalsePro & Farm925,000$867,188$0$0$No---------------------------Lien
Tristan JarryAmericans (BUF)G301995-04-29CANNo195 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,995,500$2,808,281$0$0$No2,995,500$2,995,500$-------2,995,500$2,995,500$-------NoNo-------Lien / Lien NHL
Victor ManciniAmericans (BUF)D232002-05-26USAYes229 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,538,000$1,441,875$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
2023.90192 Lbs6 ft11.901,719,042$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherAngus CrookshankNoah Ostlund40122
2Konsta HeleniusAxel Jonsson-FjallbyGraham Slaggert30122
3Angus CrookshankJon-Randall AvonCoulson Pitre20122
4Aleksandr KisakovMatthew WoodJagger Joshua10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniSpencer Stastney40122
2Maxence GuenetteMarshall Rifai30122
3Spencer StastneyFilip Kral20122
4Axel LandenSpencer Stastney10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jacob GaucherAngus CrookshankNoah Ostlund60122
2Konsta HeleniusAxel Jonsson-FjallbyCoulson Pitre40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniSpencer Stastney60122
2Marshall RifaiMaxence Guenette40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankJacob Gaucher60122
2Noah OstlundJon-Randall Avon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniSpencer Stastney60122
2Filip KralMarshall Rifai40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Angus Crookshank60122Maxence GuenetteSpencer Stastney60122
2Matthew Wood40122Victor ManciniAxel Landen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Angus CrookshankNoah Ostlund60122
2Jacob GaucherGraham Slaggert40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Victor ManciniSpencer Stastney60122
2Axel LandenFilip Kral40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAngus CrookshankNoah OstlundVictor ManciniSpencer Stastney
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob GaucherAngus CrookshankNoah OstlundVictor ManciniSpencer Stastney
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Aleksandr Kisakov, Angus Crookshank, Jagger JoshuaJacob Gaucher, Angus CrookshankAngus Crookshank
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Spencer Stastney, Victor Mancini, Maxence GuenetteSpencer StastneyFilip Kral, Spencer Stastney
Tirs de pénalité
Angus Crookshank, Jagger Joshua, Jacob Gaucher, Noah Ostlund, Axel Jonsson-Fjallby
Gardien
#1 : Tristan Jarry, #2 : Callum Tung


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
1Checkers1010000046-2000000000001010000046-200.00047110086802637733602861823200.00%4175.00%15710454.81%407454.05%387451.35%9541875311755
2Eagles11000000716000000000001100000071621.000712190086803237733601962927000%2150.00%05710454.81%407454.05%387451.35%9541875311755
3Moose11000000606110000006060000000000021.00061117018680363773360772621300.00%40100.00%05710454.81%407454.05%387451.35%9541875311755
4Penguins11000000413110000004130000000000021.0004610008680333773360179824300.00%4175.00%15710454.81%407454.05%387451.35%9541875311755
5Stars1000010012-1000000000001000010012-110.500123008680193773360215224100.00%10100.00%05710454.81%407454.05%387451.35%9541875311755
Total5310010022101222000000101931100100129370.7002238600186801463773360923383119900.00%15380.00%25710454.81%407454.05%387451.35%9541875311755
_Since Last GM Reset5310010022101222000000101931100100129370.7002238600186801463773360923383119900.00%15380.00%25710454.81%407454.05%387451.35%9541875311755
_Vs Conference5310010022101222000000101931100100129370.7002238600186801463773360923383119900.00%15380.00%25710454.81%407454.05%387451.35%9541875311755
_Vs Division13100100413120000004130110010000073.5004610008680333773360179824300.00%4175.00%15710454.81%407454.05%387451.35%9541875311755

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
57W122386014692338311901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
53101002210
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2200000101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3110100129
Derniers 10 matchs
WLOTWOTL SOWSOL
310100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
900.00%15380.00%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
37733608680
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
5710454.81%407454.05%387451.35%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
9541875311755


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
881Heat-Americans-
999Americans-Penguins-
10115Wolf Pack-Americans-
11125Americans-Comets-
13147Admirals-Americans-
14165Stars-Americans-
15180Americans-Silver Knights-
16192Americans-Thunderbirds-
17202Americans-Heat-
18216Moose-Americans-
20236Eagles-Americans-
21256Admirals-Americans-
23269Americans-Penguins-
24285Stars-Americans-
25298Americans-Roadrunners-
27309Americans-Rocket-
28326Checkers-Americans-
29346Islanders-Americans-
30360Americans-Islanders-
31376Gulls-Americans-
32390Americans-Bruins-
34408Americans-Wild-
35421Wild-Americans-
36439Americans-Griffins-
37456Americans-Gulls-
38462IceHogs-Americans-
40483Admirals-Americans-
41505Americans-Eagles-
42518Americans-Comets-
43528Heat-Americans-
44547Heat-Americans-
45560Americans-Barracuda-
46576Comets-Americans-
47592Americans-Senators-
48607Canucks-Americans-
49617Americans-Comets-
50640Americans-Wolf Pack-
51650Crunch-Americans-
52671Griffins-Americans-
53677Americans-IceHogs-
54697Roadrunners-Americans-
56718Americans-Phantoms-
57733Senators-Americans-
59751Americans-Monsters-
60765Condors-Americans-
61783Americans-Reign-
63796Wolves-Americans-
64811Americans-Wolves-
65826Bruins-Americans-
67846Americans-Crunch-
68856Monsters-Americans-
69872Americans-Moose-
70888Moose-Americans-
72900Americans-Eagles-
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
Assistance3,8391,480
Assistance PCT95.98%74.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 2660 - 88.65% 90,900$181,800$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
277,382$ 3,438,083$ 3,438,083$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
30,697$ 214,879$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,726,900$ 105 39,626$ 4,160,730$




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