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Connexion

Americans
GP: 61 | W: 28 | L: 27 | OTL: 6 | P: 62
GF: 211 | GA: 236 | PP%: 32.95% | PK%: 69.49%
DG: Daniel | Morale : 90 | Moyenne d’équipe : N/A
Prochains matchs #977 vs Wolves

Centre de jeu
Bills
29-27-3, 61pts
5
FINAL
2 Americans
28-27-6, 62pts
Team Stats
W2SéquenceW1
16-13-2Fiche domicile14-11-5
13-14-1Fiche domicile14-16-1
6-4-0Derniers 10 matchs7-2-1
3.88Buts par match 3.46
3.98Buts contre par match 3.87
29.93%Pourcentage en avantage numérique32.95%
69.77%Pourcentage en désavantage numérique69.49%
Americans
28-27-6, 62pts
6
FINAL
5 Whalers
23-31-5, 51pts
Team Stats
W1SéquenceOTL1
14-11-5Fiche domicile11-19-1
14-16-1Fiche domicile12-12-4
7-2-1Derniers 10 matchs3-5-2
3.46Buts par match 3.44
3.87Buts contre par match 4.27
32.95%Pourcentage en avantage numérique29.87%
69.49%Pourcentage en désavantage numérique64.79%
Wolves
19-34-7, 45pts
Jour 137
Americans
28-27-6, 62pts
Statistiques d’équipe
L1SéquenceW1
7-21-3Fiche domicile14-11-5
12-13-4Fiche visiteur14-16-1
3-7-010 derniers matchs7-2-1
3.27Buts par match 3.46
4.13Buts contre par match 3.46
28.57%Pourcentage en avantage numérique32.95%
67.00%Pourcentage en désavantage numérique69.49%
Americans
28-27-6, 62pts
Jour 139
Senators
30-24-7, 67pts
Statistiques d’équipe
W1SéquenceW1
14-11-5Fiche domicile15-9-6
14-16-1Fiche visiteur15-15-1
7-2-110 derniers matchs3-7-0
3.46Buts par match 3.59
3.87Buts contre par match 3.59
32.95%Pourcentage en avantage numérique35.92%
69.49%Pourcentage en désavantage numérique70.56%
Phantoms
26-28-7, 59pts
Jour 141
Americans
28-27-6, 62pts
Statistiques d’équipe
L8SéquenceW1
10-16-4Fiche domicile14-11-5
16-12-3Fiche visiteur14-16-1
1-9-010 derniers matchs7-2-1
3.28Buts par match 3.46
3.72Buts contre par match 3.46
23.10%Pourcentage en avantage numérique32.95%
71.85%Pourcentage en désavantage numérique69.49%
Meneurs d'équipe
Buts
Taylor Ward
31
Passes
Jack Thompson
62
Points
Jack Thompson
81
Plus/Moins
Nathan Villeneuve
13
Victoires
Sergei Ivanov
10
Pourcentage d’arrêts
Talyn Boyko
0.893

Statistiques d’équipe
Buts pour
211
3.46 GFG
Tirs pour
1827
29.95 Avg
Pourcentage en avantage numérique
32.9%
85 GF
Début de zone offensive
36.5%
Buts contre
236
3.87 GAA
Tirs contre
1885
30.90 Avg
Pourcentage en désavantage numérique
69.5%%
90 GA
Début de la zone défensive
38.3%
Informations de l'équipe

Directeur généralDaniel
EntraîneurGeordie Kinnear
DivisionNorth Division
ConférenceEastern Conference
CapitaineIsaac Ratcliffe
Assistant #1Travis Dermott
Assistant #2Jake Wise


Informations de l’aréna

Capacité8,000
Assistance6,816
Billets de saison800


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 65
Espoirs14


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
1Carson FochtX100.0060606060607070606060606060575908300241866,250$
2Isaac Ratcliffe (C)XX99.00606060606070706060606060605966083002511,157,625$
3Jake Wise (A)X100.00606060606070706060606060604156067002421,312,500$
4Jack MaloneXXX100.0060606060607070606060606060415607400242682,500$
5Caedan BankierX100.0060606060607070606060606060415607600211975,000$
6Kasper SimontaivalXX100.00606060606070706060606060604055083012211,250,000$
7Otto StenbergXXX100.00606060606070706060606060604055072011921,500,000$
8Nathan Villeneuve (R)X98.0060606060607070606060606060465507300183700,000$
9Tij Iginla (R)X100.00606060606070706060606060604655079001831,500,000$
10Hiroki Gojsic (R)X100.0060606060607070606060606060445508000183825,000$
11Julius Miettinen (R)XXX100.00606060606070706060606060604455073001831,250,000$
12Taylor WardXX98.0073508666788191626462627165695408000262810,000$
13Elias SalomonssonX100.00606060606070706060606060604758083002021,312,500$
14Noel HoefenmayerX100.0060606060607070606060606060566207200251909,563$
15Jack ThompsonX100.0063509285728287772569747265526008000221866,250$
16Travis Dermott (A)X100.0063509464757976652565657065576308200281650,000$
17Lukas DragicevicX100.00606060606070706060606060604055063011921,250,000$
18Taige Harding (R)X100.0060606060607070606060606060485507800222750,000$
Rayé
1Kevin WallXX100.0060606060607070606060606060415606300241682,500$
2Vilmer Alriksson (R)XX100.0060606060607070606060606060445505300193825,000$
3Connor MackeyX100.0066738069788391622563617365526306900282690,000$
4Will ZmolekX100.0060606060607070606060606060465506200251840,000$
5Loke Johansson (R)X100.0060606060607070606060606060425506200193700,000$
MOYENNE D’ÉQUIPE99.786159656263727361566161626148570730
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
1Luke Cavallin100.006070706060606060606060405507900231680,000$
2Sergei Ivanov (R)100.006070706060606060606060445507500203750,000$
Rayé
1Talyn Boyko100.0060707060606060606060605158065002221,023,750$
2Mathieu Caron100.006070706060606060606060415606200241682,500$
3Visa Vedenpaa (R)100.006070706060606060606060405504100193700,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606043560640
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geordie Kinnear6565656564691CAN521600,000$


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
1Jack ThompsonAmericans (FLA)D561962815887037802381001067.98%77121721.7514243843132000113021100.00%16439001.3300554643
2Taylor WardAmericans (FLA)LW/RW56312556-8191583932097513714.83%40130223.26881625145213111604252.74%2924429110.8603102674
3Isaac RatcliffeAmericans (FLA)LW/RW61222143-82601409694138508715.94%35125520.5887152616111291734348.76%4821020000.68059910121
4Carson FochtAmericans (FLA)C59152338-596608675103236914.56%2290715.38515202611210151122148.97%4861314000.8403318232
5Kasper SimontaivalAmericans (FLA)LW/RW53181836-124325796297335618.56%1290517.08971618940222752041.57%8998010.8011320312
6Nathan VilleneuveAmericans (FLA)C46132033138030585283225215.66%966414.447121914841016593046.53%619117000.9901141411
7Connor MackeyAmericans (FLA)D53720279167125499666373310.61%73126523.876814181350001178100%02242000.4300799110
8Vilmer AlrikssonAmericans (FLA)C/LW43111627-35125795271324315.49%1565915.33381111800004392048.01%377139000.8202113100
9Travis DermottAmericans (FLA)D5442024-12423033698623304.65%54108320.062911111120446153000%02826000.4400015004
10Hiroki GojsicAmericans (FLA)RW4912102249860504871274016.90%1268614.001563222024261149.64%139127010.6401246200
11Julius MiettinenAmericans (FLA)C/LW/RW3981422-26335664270184411.43%1257114.66461013840000163143.14%51612000.7701402111
12Tij IginlaAmericans (FLA)LW478132159965674076255510.53%1563513.52358939000041152.17%46102000.6600427021
13Noel HoefenmayerAmericans (FLA)D5631720-121446058705023286.00%47115920.7016791300112147010%02027000.3400453100
14Otto StenbergAmericans (FLA)C/LW/RW4391019-149565604683274710.84%1564515.023367360001240151.72%11678000.5900526010
15Travis BoydPanthersC1771118-111210162369186010.14%838922.882797490002560045.74%376155000.9312101012
16Caedan BankierAmericans (FLA)C5261218-2552569476226469.68%1068313.1428107620003221051.69%17898000.5301131110
17Jack MaloneAmericans (FLA)C/LW/RW468614-1724053398619369.30%1261413.350001170002381044.44%99127000.4600143002
18Taige HardingAmericans (FLA)D52268-21105554646488164.17%2388817.09213580000169000%0828000.1800353000
19Elias SalomonssonAmericans (FLA)D58257-81419557674619214.35%58102917.75123653011613100100.00%21322000.1400649000
20Jake WiseAmericans (FLA)C35167-1167353834369262.78%839811.371014220000300049.69%32437000.3500304000
21Kevin WallAmericans (FLA)LW/RW28437-4662028161972021.05%32488.883037160000200061.90%2121010.5600103001
22Will ZmolekAmericans (FLA)D310330753102100%71043.380111600002000%003000.5700100000
23Lukas DragicevicAmericans (FLA)D24033-1603021337560%1837515.64011033000248000%0610000.1600114000
24Loke JohanssonAmericans (FLA)D4001163230131511830%122797.000000200002000%0412000.0700132000
Statistiques d’équipe totales ou en moyenne1098210345555-9319621150124512491827635106111.49%5971797016.3785143228271171771017681725271248.49%3698341353140.62220686596292524
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
1Sergei IvanovAmericans (FLA)2410830.8633.8211624074540309200.62581914011
2Visa VedenpaaAmericans (FLA)2891310.8723.9914892099775399000.8577281110
3Talyn BoykoAmericans (FLA)154320.8933.545600033309179100.3333924001
4Mathieu CaronAmericans (FLA)94300.8923.504290025232132000057000
5Luke CavallinAmericans (FLA)21000.9661.254800129190000015000
Statistiques d’équipe totales ou en moyenne78282760.8773.773690602321885103830186161122


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
Caedan BankierAmericans (FLA)C212003-01-26CANNo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm975,000$274,867$97,500$27,487$No---------------------------
Carson FochtAmericans (FLA)C242000-02-04CANNo181 Lbs6 ft1NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm866,250$244,209$86,625$24,421$No---------------------------
Connor MackeyAmericans (FLA)D281996-09-12USANo205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm690,000$194,521$69,000$19,452$No690,000$--------690,000$--------No--------
Elias SalomonssonAmericans (FLA)D202004-08-31SWENo183 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No1,312,500$--------1,312,500$--------No--------
Hiroki GojsicAmericans (FLA)RW182006-05-01CANYes209 Lbs6 ft1NoNoDraftNoNo32025-08-25FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Isaac RatcliffeAmericans (FLA)LW/RW251999-02-15CANNo200 Lbs6 ft6NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,157,625$326,352$115,762$32,635$No---------------------------
Jack MaloneAmericans (FLA)C/LW/RW242000-10-13USANo190 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No682,500$--------682,500$--------No--------
Jack ThompsonAmericans (FLA)D222002-03-19CANNo189 Lbs6 ft1NoNoN/ANoNo12024-08-31FalseFalsePro & Farm866,250$244,209$86,625$24,421$No---------------------------
Jake WiseAmericans (FLA)C242000-02-28USANo190 Lbs5 ft10NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$370,013$131,250$37,001$No1,312,500$--------1,312,500$--------No--------
Julius MiettinenAmericans (FLA)C/LW/RW182006-01-20FINYes207 Lbs6 ft2NoNoDraftNoNo32025-08-25FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Kasper SimontaivalAmericans (FLA)LW/RW222002-01-11FINNo176 Lbs5 ft9NoNoProspectNoNo12024-08-27FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No---------------------------
Kevin WallAmericans (FLA)LW/RW242000-02-01USANo187 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$192,407$68,250$19,241$No---------------------------
Loke JohanssonAmericans (FLA)D192005-12-14SWEYes214 Lbs6 ft1NoNoDraftNoNo32025-08-25FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Lukas DragicevicAmericans (FLA)D192005-04-25CANNo196 Lbs6 ft2NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,250,000$352,394$125,000$35,239$No1,250,000$--------1,250,000$--------No--------
Luke CavallinAmericans (FLA)G232001-04-29CANNo196 Lbs6 ft2NoNoFree AgentNoNo12025-07-05FalseFalsePro & Farm680,000$191,702$68,000$19,170$No---------------------------
Mathieu CaronAmericans (FLA)G242000-03-29CANNo190 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm682,500$192,407$68,250$19,241$No---------------------------
Nathan VilleneuveAmericans (FLA)C182006-04-13CANYes194 Lbs5 ft10NoNoDraftNoNo32025-08-25FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Noel HoefenmayerAmericans (FLA)D251999-01-06CANNo203 Lbs6 ft1NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm909,563$256,419$90,956$25,642$No---------------------------
Otto StenbergAmericans (FLA)C/LW/RW192005-05-29SWENo187 Lbs5 ft11NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No1,500,000$--------1,500,000$--------No--------
Sergei IvanovAmericans (FLA)G202004-04-03RUSYes157 Lbs5 ft10NoNoProspectNoNo32025-08-25FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Taige HardingAmericans (FLA)D222002-01-03GBRYes236 Lbs6 ft5NoNoProspectNoNo22025-08-25FalseFalsePro & Farm750,000$211,436$75,000$21,144$No750,000$--------750,000$--------No--------
Talyn BoykoAmericans (FLA)G222002-10-16CANNo201 Lbs6 ft8NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,023,750$288,610$102,375$28,861$No1,023,750$--------1,023,750$--------No--------
Taylor WardAmericans (FLA)LW/RW261998-03-31CANNo207 Lbs6 ft2NoNoAssign ManuallyNoNo22025-11-16FalseFalsePro & Farm810,000$228,351$81,000$22,835$No810,000$--------810,000$--------No--------
Tij IginlaAmericans (FLA)LW182006-08-04USAYes194 Lbs5 ft10NoNoDraftNoNo32025-08-25FalseFalsePro & Farm1,500,000$422,872$150,000$42,287$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Travis Dermott (contrat à 1 volet)Americans (FLA)D281996-12-22CANNo200 Lbs6 ft0NoNoAssign ManuallyNoNo12025-11-16FalseFalsePro & Farm650,000$178,226$650,000$178,226$No---------------------------
Vilmer AlrikssonAmericans (FLA)C/LW192005-02-18SWEYes234 Lbs6 ft4NoNoProspectNoNo32025-08-25FalseFalsePro & Farm825,000$232,580$82,500$23,258$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Visa VedenpaaAmericans (FLA)G192005-05-11FINYes183 Lbs6 ft0NoNoProspectNoNo32025-08-25FalseFalsePro & Farm700,000$197,340$70,000$19,734$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Will ZmolekAmericans (FLA)D251999-04-02USANo194 Lbs6 ft3NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm840,000$236,809$84,000$23,681$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2822.00196 Lbs6 ft11.89933,605$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor WardNathan VilleneuveIsaac Ratcliffe28122
2Kasper SimontaivalOtto StenbergJulius Miettinen26122
3Tij IginlaCaedan BankierHiroki Gojsic24122
4Jack MaloneJake WiseTaylor Ward22122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonLukas Dragicevic35122
2Travis DermottNoel Hoefenmayer34122
3Taige HardingElias Salomonsson31122
4Jack ThompsonTravis Dermott0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Taylor WardNathan VilleneuveIsaac Ratcliffe50122
2Kasper SimontaivalJake WiseJulius Miettinen50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonTaige Harding50122
2Travis DermottNoel Hoefenmayer50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Taylor WardIsaac Ratcliffe50122
2Nathan VilleneuveKasper Simontaival50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonElias Salomonsson50122
2Travis DermottNoel Hoefenmayer50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Taylor Ward50122Jack ThompsonElias Salomonsson50122
2Isaac Ratcliffe50122Travis DermottNoel Hoefenmayer50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Taylor WardIsaac Ratcliffe50122
2Nathan VilleneuveCaedan Bankier50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jack ThompsonTaige Harding50122
2Travis DermottNoel Hoefenmayer50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor WardNathan VilleneuveIsaac RatcliffeJack ThompsonTravis Dermott
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Taylor WardNathan VilleneuveIsaac RatcliffeJack ThompsonTravis Dermott
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Carson Focht, Caedan Bankier, Jake WiseCarson Focht, Caedan BankierJake Wise
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Taige Harding, Elias Salomonsson, Travis DermottTaige HardingElias Salomonsson, Travis Dermott
Tirs de pénalité
Taylor Ward, Isaac Ratcliffe, Nathan Villeneuve, Carson Focht, Kasper Simontaival
Gardien
#1 : Sergei Ivanov, #2 : Luke Cavallin


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
1Admirals311000011012-21000000123-12110000089-130.50010172700548470411256865059235102391276414321.43%11281.82%0669134949.59%686141848.38%43893147.05%117153412286401292640
2Bears31001001871200010014401100000043150.8338132100548470479568650592358128825913430.77%11281.82%0669134949.59%686141848.38%43893147.05%117153412286401292640
3Bills20200000412-81010000025-31010000027-500.000471100548470450568650592357020148319222.22%14750.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
4Blossom Bytes1010000023-1000000000001010000023-100.000235005484704295686505923539131724400.00%10100.00%1669134949.59%686141848.38%43893147.05%117153412286401292640
5Bulldogs11000000211000000000001100000021121.00024600548470442568650592351941232700.00%110.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
6Crunch11000000541110000005410000000000021.0005914005484704255686505923525116245120.00%2150.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
7Eagles1010000039-6000000000001010000039-600.0003470054847041956865059235391327135360.00%11554.55%0669134949.59%686141848.38%43893147.05%117153412286401292640
8Gorillas21100000990000000000002110000099020.5009122100548470464568650592355715924910330.00%11372.73%0669134949.59%686141848.38%43893147.05%117153412286401292640
9Grisards430001001913632000100131121100000062470.87519325100548470414756865059235164381068415960.00%28678.57%3669134949.59%686141848.38%43893147.05%117153412286401292640
10Gulls211000004401010000012-11100000032120.50048120054847045256865059235712242437342.86%60100.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
11Moose705000021126-1540300001818-103020000138-520.143111324005484704198568650592351574917214314214.29%32971.88%0669134949.59%686141848.38%43893147.05%117153412286401292640
12Mountaineers11000000312110000003120000000000021.00036900548470428568650592351774144125.00%20100.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
13Norsemen311000101110131100010111010000000000040.66711162700548470483568650592359331725814428.57%16662.50%1669134949.59%686141848.38%43893147.05%117153412286401292640
14Octopus11000000532110000005320000000000021.00059140054847042756865059235342119305360.00%20100.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
15Penguins3030000038-51010000013-22020000025-300.00034700548470458568650592357531886110110.00%14285.71%0669134949.59%686141848.38%43893147.05%117153412286401292640
16Phantoms11000000642110000006420000000000021.000611170054847043756865059235251558326350.00%5180.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
17Rams32100000111012110000058-31100000062440.6671116270054847047956865059235107381185313430.77%19478.95%0669134949.59%686141848.38%43893147.05%117153412286401292640
18Roadrunners11000000532110000005320000000000021.0005914005484704265686505923530931252150.00%30100.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
19Rocket11000000752000000000001100000075221.000710170054847043256865059235341339248112.50%2150.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
20Saints11000000532000000000001100000053221.0005813005484704345686505923529653228337.50%4250.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
21Senators413000001724-7312000001317-41010000047-320.25017284500548470412356865059235153421177018633.33%261253.85%0669134949.59%686141848.38%43893147.05%117153412286401292640
22Silver Knights1010000024-2000000000001010000024-200.00022400548470417568650592352097237228.57%10100.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
23Titans404000001020-101010000015-430300000915-600.000101929005484704111568650592351033280739222.22%16850.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
24Whalers5300110027207320001001512321001000128490.900274875005484704182568650592351815721891281553.57%29968.97%0669134949.59%686141848.38%43893147.05%117153412286401292640
25White Wolves1010000057-2000000000001010000057-200.000510150054847042156865059235411140187457.14%5340.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
26Wolf Pack1010000025-3000000000001010000025-300.00023500548470437568650592352681515300.00%5260.00%0669134949.59%686141848.38%43893147.05%117153412286401292640
27Wolves3300000015960000000000033000000159661.0001524390054847041155686505923593251687013538.46%18477.78%2669134949.59%686141848.38%43893147.05%117153412286401292640
Total61252702214211236-2530121101213100113-1331131601001111123-12620.5082113455560054847041827568650592351885597196812452588532.95%2959069.49%7669134949.59%686141848.38%43893147.05%117153412286401292640
_Since Last GM Reset61252702214211236-2530121101213100113-1331131601001111123-12620.5082113455560054847041827568650592351885597196812452588532.95%2959069.49%7669134949.59%686141848.38%43893147.05%117153412286401292640
_Vs Conference47172102214156175-1925810012138097-1722911010017678-2460.489156255411005484704144256865059235147046814809401816133.70%2376771.73%7669134949.59%686141848.38%43893147.05%117153412286401292640
_Vs Division19129012126067-797600211282801053010013239-7320.8426010016000548470456156865059235548174525387702332.86%922473.91%3669134949.59%686141848.38%43893147.05%117153412286401292640

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
6162W1211345556182718855971968124500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6125272214211236
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3012111213100113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3113161001111123
Derniers 10 matchs
WLOTWOTL SOWSOL
720100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2588532.95%2959069.49%7
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
568650592355484704
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
669134949.59%686141848.38%43893147.05%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
117153412286401292640


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
214Americans6Wolves4WSommaire du match
424Moose3Americans2LSommaire du match
642Phantoms4Americans6WSommaire du match
966Grisards2Americans3WSommaire du match
1075Americans6Gorillas7LSommaire du match
1499Americans4Titans5LSommaire du match
15111Norsemen5Americans3LSommaire du match
17128Americans3Admirals6LSommaire du match
19141Whalers2Americans5WSommaire du match
20145Americans1Moose2LXXSommaire du match
24173Moose3Americans2LXXSommaire du match
27191Americans3Titans6LSommaire du match
29204Senators11Americans5LSommaire du match
32229Senators2Americans6WSommaire du match
34240Americans2Moose4LSommaire du match
36256Americans2Penguins3LSommaire du match
38267Americans2Blossom Bytes3LSommaire du match
40276Rams3Americans4WSommaire du match
43301Crunch4Americans5WSommaire du match
45314Americans5Saints3WSommaire du match
48333Octopus3Americans5WSommaire du match
51354Americans5Admirals3WSommaire du match
52364Penguins3Americans1LSommaire du match
55390Grisards5Americans4LXSommaire du match
57403Americans2Silver Knights4LSommaire du match
59420Americans7Rocket5WSommaire du match
61430Grisards4Americans6WSommaire du match
63448Americans2Titans4LSommaire du match
66463Moose5Americans2LSommaire du match
69485Mountaineers1Americans3WSommaire du match
71500Americans2Wolf Pack5LSommaire du match
73512Americans0Penguins2LSommaire du match
75525Admirals3Americans2LXXSommaire du match
77538Americans4Bears3WSommaire du match
79558Bears1Americans2WXSommaire du match
82579Americans3Gulls2WSommaire du match
84589Titans5Americans1LSommaire du match
87612Americans6Whalers3WSommaire du match
89625Moose7Americans2LSommaire du match
91640Americans3Gorillas2WSommaire du match
92652Norsemen2Americans3WXXSommaire du match
95674Americans6Rams2WSommaire du match
97685Rams5Americans1LSommaire du match
99703Americans5White Wolves7LSommaire du match
101714Americans3Eagles9LSommaire du match
102723Bears3Americans2LXXSommaire du match
106749Gulls2Americans1LSommaire du match
108762Americans4Senators7LSommaire du match
110779Senators4Americans2LSommaire du match
112794Americans6Grisards2WSommaire du match
114806Americans2Bills7LSommaire du match
115819Whalers6Americans5LXSommaire du match
119845Norsemen3Americans5WSommaire du match
121860Americans0Moose2LSommaire du match
123874Americans4Wolves1WSommaire du match
124882Whalers4Americans5WSommaire du match
126903Americans5Wolves4WSommaire du match
128914Americans2Bulldogs1WSommaire du match
129921Roadrunners3Americans5WSommaire du match
133948Bills5Americans2LSommaire du match
135965Americans6Whalers5WXSommaire du match
137977Wolves-Americans-
139989Americans-Senators-
1411009Phantoms-Americans-
1431024Americans-Gorillas-
1451035Americans-Blood Miners-
1461048Phantoms-Americans-
1481059Americans-Gulls-
1511080Wolf Pack-Americans-
1521091Americans-Reign-
1541108Americans-Norsemen-
1561116Wolf Pack-Americans-
1591143Wolves-Americans-
1631168Blossom Bytes-Americans-
1641172Americans-Norsemen-
1651182Americans-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1681205Americans-Phantoms-
1691214Blossom Bytes-Americans-
1741237Americans-Grisards-
1751247Redhawks-Americans-
1801274Griffins-Americans-
1851300Griffins-Americans-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets3515
Assistance65,230139,236
Assistance PCT86.97%84.39%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 6816 - 85.19% 174,864$5,245,908$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,186,026$ 2,549,093$ 2,549,093$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,750$ 2,186,026$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,923,500$ 53 16,750$ 887,750$




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