Connexion

American
GP: 59 | W: 30 | L: 24 | OTL: 5 | P: 65
GF: 247 | GA: 226 | PP%: 26.49% | PK%: 74.38%
DG: | Morale : 40 | Moyenne d’équipe : 62
Prochains matchs #946 vs Penguins
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Centre de jeu
Eagles
34-18-8, 76pts
5
FINAL
4 American
30-24-5, 65pts
Team Stats
L1StreakW1
18-8-3Home Record18-9-2
16-10-5Away Record12-15-3
5-4-1Last 10 Games6-4-0
4.07Buts par match 4.19
3.88Buts contre par match 3.83
27.01%Pourcentage en avantage numérique26.49%
72.78%Pourcentage en désavantage numérique74.38%
American
30-24-5, 65pts
6
FINAL
3 Silver Knights
30-22-5, 65pts
Team Stats
W1StreakL1
18-9-2Home Record17-11-2
12-15-3Away Record13-11-3
6-4-0Last 10 Games6-4-0
4.19Buts par match 4.35
3.83Buts contre par match 4.33
26.49%Pourcentage en avantage numérique28.91%
74.38%Pourcentage en désavantage numérique61.54%
Penguins
20-38-2, 42pts
2022-10-09
American
30-24-5, 65pts
Statistiques d’équipe
W3SéquenceW1
10-19-0Fiche domicile18-9-2
10-19-2Fiche visiteur12-15-3
5-5-010 derniers matchs6-4-0
3.98Buts par match 4.19
5.55Buts contre par match 4.19
28.57%Pourcentage en avantage numérique26.49%
72.33%Pourcentage en désavantage numérique74.38%
American
30-24-5, 65pts
2022-10-11
Wild
34-18-8, 76pts
Statistiques d’équipe
W1SéquenceSOL1
18-9-2Fiche domicile16-9-4
12-15-3Fiche visiteur18-9-4
6-4-010 derniers matchs4-3-3
4.19Buts par match 5.12
3.83Buts contre par match 5.12
26.49%Pourcentage en avantage numérique35.26%
74.38%Pourcentage en désavantage numérique72.67%
Moose
26-30-4, 56pts
2022-10-13
American
30-24-5, 65pts
Statistiques d’équipe
W1SéquenceW1
15-14-0Fiche domicile18-9-2
11-16-4Fiche visiteur12-15-3
6-3-110 derniers matchs6-4-0
4.25Buts par match 4.19
4.57Buts contre par match 4.19
33.14%Pourcentage en avantage numérique26.49%
66.25%Pourcentage en désavantage numérique74.38%
Meneurs d'équipe
Arttu RuotsalainenButs
Arttu Ruotsalainen
31
Casey FitzgeraldPasses
Casey Fitzgerald
48
Sean MalonePoints
Sean Malone
65
John HaydenPlus/Moins
John Hayden
15
Malcolm SubbanVictoires
Malcolm Subban
20
Malcolm SubbanPourcentage d’arrêts
Malcolm Subban
0.906

Statistiques d’équipe
Buts pour
247
4.19 GFG
Tirs pour
2238
37.93 Avg
Pourcentage en avantage numérique
26.5%
49 GF
Début de zone offensive
39.6%
Buts contre
226
3.83 GAA
Tirs contre
2090
35.42 Avg
Pourcentage en désavantage numérique
74.4%
41 GA
Début de la zone défensive
39.7%
Informations de l'équipe

Directeur général
EntraîneurSeth Appert
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure21
Limite contact 39 / 20
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Anders BjorkX99.0058359366748186645562666662686752406402521,600,000$
2Sean MaloneX100.006434716674787167766665586568704640630271750,000$
3Andrew OglevieX100.006253826873728060715859576761637240610271750,000$
4Brandon BiroX100.006736886267807262666358576265675240610241925,000$
5Ryan MacInnisX99.006539925587807458755961595767697040610261750,000$
6Matej PekarX100.006553635275737652565355555163656240560222764,167$
7Will ButcherX99.0454348568718877683076626153696849406402712,822,764$
8Casey FitzgeraldX99.007335686170848563306662635166686140620252750,000$
9Brandon DavidsonX100.008343705982816559305856694672743740620301750,000$
10Cavan FitzgeraldX100.006638915775718258305856594567695340600252750,000$
11Oskari LaaksonenX100.006338856173649155306658604564666240600222853,333$
12Jimmy SchuldtX100.006935775878698058305855584568703640590271750,000$
Rayé
1Arttu RuotsalainenX100.006236896871878666706770616966685340650241925,000$
2Jack QuinnX93.675937857172897168726770607262648640650203894,167$
3John HaydenX94.538081625988768159675860665469715540620271750,000$
MOYENNE D’ÉQUIPE98.87664280627578786153626161566668564062
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 moyen
1Ukko-Pekka Luukkonen96.00748382937372747372747363697040620231778,333$
Rayé
1Aaron Dell100.00748182777372747372747375874640620331750,000$
2Malcolm Subban100.00747775837372747372747371846540620281850,000$
MOYENNE D’ÉQUIPE98.6774808084737274737274737080604062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Seth Appert71607164726879USA472850,000$


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
1Sean MaloneAmerican (BUF)C5930356582601051502807519410.71%12106618.0821113361000000294318.08127700001.2213000562
2Casey FitzgeraldAmerican (BUF)D59144862-550015678140389110.00%101146724.8831417591590000119000.00%000000.8400000232
3Arttu RuotsalainenAmerican (BUF)C463131621440411522155716614.42%1399921.73549411191014746121.73126400011.2424000535
4Will ButcherAmerican (BUF)D49114657-780267812045729.17%84122425.0071320621340001113000.00%000010.9300000121
5Oskari LaaksonenAmerican (BUF)D5964147710054669423926.38%90119620.295914561320001113100.00%000000.7900000001
6Brandon BiroAmerican (BUF)LW59202444912073771854616910.81%10101817.260441876000072117.266200010.8611000312
7Brandon DavidsonAmerican (BUF)D47123042975512357111437110.81%7291819.53581356104011072010.00%100010.9200001024
8Ryan MacInnisAmerican (BUF)C5622184011757080148439514.86%1298917.6633617580000115217.6643400000.8102010051
9Andrew OglevieAmerican (BUF)C5814253915752956124337811.29%988515.2723514670000341015.2713300000.8811010112
10Anders BjorkAmerican (BUF)LW36251439-414039701864113313.44%1477021.39661227950000485021.396800001.0102000400
11Cavan FitzgeraldAmerican (BUF)D59632381520039466516469.23%8389015.09000313000021000.00%000000.8500000011
12John HaydenAmerican (BUF)C39141933154359868132438710.61%765316.7501111340001161116.7547500001.0102010312
13Jimmy SchuldtAmerican (BUF)D59130311356099485724341.75%6688314.9810142000045010.00%000000.7000000010
14Matej PekarAmerican (BUF)LW451210221180662970223917.14%766914.872243420001160014.874800000.6600000011
15Jack QuinnAmerican (BUF)RW1981321980205010723567.48%643522.9223514541011470222.9210800010.9602000200
16Peyton KrebsSabresC96814-120133554133211.11%122525.001127250000230125.0028600001.2400000011
17Brett MurraySabresLW166814712050366118459.84%836222.6521314440002311022.657700010.7700000031
18Cody EakinSabresC8459-10010324215229.52%520025.022354220001221025.0223900000.9012000012
19Jacob BrysonSabresD5134-400410127118.33%1012725.5610161301108100.00%000000.6300000000
Statistiques d’équipe totales ou en moyenne78724344068311137220111512182203625153311.03%6101498419.044986135452130222412857281358.59%447200060.91619031263228
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
1Malcolm SubbanAmerican (BUF)37201320.9063.2720574111211940110.77893612303
2Ukko-Pekka LuukkonenAmerican (BUF)147320.8963.2779020434120000.667121228000
Statistiques d’équipe totales ou en moyenne51271640.9033.2728476115516060110.714214840303


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aaron DellAmerican (BUF)G331989-05-04No213 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Anders BjorkAmerican (BUF)LW251996-08-05No197 Lbs6 ft0NoNoNo2Pro & Farm1,600,000$481,720$0$0$No1,600,000$Lien / Lien NHL
Andrew OglevieAmerican (BUF)C271995-02-16No180 Lbs5 ft10NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Arttu RuotsalainenAmerican (BUF)C241997-10-29No187 Lbs5 ft9NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Brandon BiroAmerican (BUF)LW241998-03-11No170 Lbs5 ft11NoNoNo1Pro & Farm925,000$278,495$0$0$NoLien / Lien NHL
Brandon DavidsonAmerican (BUF)D301991-08-21No209 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Casey FitzgeraldAmerican (BUF)D251997-02-25No188 Lbs5 ft11NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Cavan FitzgeraldAmerican (BUF)D251996-08-23No190 Lbs6 ft1NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Jack QuinnAmerican (BUF)RW202001-09-19No185 Lbs6 ft0NoNoNo3Pro & Farm894,167$269,212$0$0$No894,167$894,167$Lien / Lien NHL
Jimmy SchuldtAmerican (BUF)D271995-05-11No203 Lbs6 ft1NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
John HaydenAmerican (BUF)C271995-02-14No223 Lbs6 ft3NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Malcolm SubbanAmerican (BUF)G281993-12-21No215 Lbs6 ft2NoNoNo1Pro & Farm850,000$255,914$0$0$NoLien / Lien NHL
Matej PekarAmerican (BUF)LW222000-02-10No185 Lbs6 ft1NoNoNo2Pro & Farm764,167$230,072$0$0$No764,167$Lien / Lien NHL
Oskari LaaksonenAmerican (BUF)D221999-07-02No172 Lbs6 ft1NoNoNo2Pro & Farm853,333$256,917$0$0$No853,333$Lien / Lien NHL
Ryan MacInnisAmerican (BUF)C261996-02-14No201 Lbs6 ft4NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Sean MaloneAmerican (BUF)C271995-04-30No197 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Ukko-Pekka LuukkonenAmerican (BUF)G231999-03-09No217 Lbs6 ft5NoNoNo1Pro & Farm778,333$234,337$0$0$NoLien / Lien NHL
Will ButcherAmerican (BUF)D271995-01-06No190 Lbs5 ft10NoNoNo1Pro & Farm2,822,764$849,864$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1825.67196 Lbs6 ft11.39953,487$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders Bjork40122
2Brandon BiroSean MaloneRyan MacInnis30122
3Matej PekarAndrew Oglevie20122
4Ryan MacInnis10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherCasey Fitzgerald40122
2Brandon DavidsonOskari Laaksonen30122
3Cavan FitzgeraldJimmy Schuldt20122
4Will ButcherCasey Fitzgerald10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders Bjork60122
2Brandon BiroSean MaloneRyan MacInnis40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherCasey Fitzgerald60122
2Brandon DavidsonOskari Laaksonen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Anders BjorkSean Malone40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherCasey Fitzgerald60122
2Brandon DavidsonOskari Laaksonen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Will ButcherCasey Fitzgerald60122
240122Brandon DavidsonOskari Laaksonen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Anders BjorkSean Malone40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Will ButcherCasey Fitzgerald60122
2Brandon DavidsonOskari Laaksonen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkWill ButcherCasey Fitzgerald
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkWill ButcherCasey Fitzgerald
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Andrew Oglevie, Matej Pekar, Andrew OglevieMatej Pekar
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Cavan Fitzgerald, Jimmy Schuldt, Brandon DavidsonCavan FitzgeraldJimmy Schuldt, Brandon Davidson
Tirs de pénalité
, , Anders Bjork, Sean Malone,
Gardien
#1 : , #2 : Ukko-Pekka Luukkonen
Lignes d’attaque personnalisées en prolongation
, , Anders Bjork, Sean Malone, , Ryan MacInnis, Ryan MacInnis, Brandon Biro, Andrew Oglevie, Matej Pekar,
Lignes de défense personnalisées en prolongation
Will Butcher, Casey Fitzgerald, Brandon Davidson, Oskari Laaksonen, Cavan Fitzgerald


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
1Admirals2110000011110110000005231010000069-320.5001120310010286567606997957273857126349444.44%3166.67%01116200755.61%1098201454.52%595105056.67%146110451368410738373
2Barrucada211000006601010000034-11100000032120.500611170010286567976997957273868161241700.00%6266.67%01116200755.61%1098201454.52%595105056.67%146110451368410738373
3Bears2110000045-1110000003211010000013-220.50048120010286567596997957273876203129400.00%8275.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
4Bruins3120000010100110000006332020000047-320.33310182800102865671156997957273812423185616531.25%9455.56%01116200755.61%1098201454.52%595105056.67%146110451368410738373
5Canucks211000009901010000035-21100000064220.5009152400102865676069979572738641910373133.33%5180.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
6Checkers4130000013130211000009542020000048-420.25013233600102865671366997957273814735247216637.50%10280.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
7Chekers21000100963210001009630000000000030.7509182700102865671166997957273842201243200.00%5260.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
8Comets2110000011110110000007431010000047-320.5001121320010286567696997957273882351024500.00%50100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
9Condors21100000101001010000045-11100000065120.50010192900102865677969979572738762117349111.11%6183.33%01116200755.61%1098201454.52%595105056.67%146110451368410738373
10Crunch301000111216-4200000119901010000037-430.50012203200102865671166997957273811152168010330.00%7185.71%11116200755.61%1098201454.52%595105056.67%146110451368410738373
11Eagles211000007611010000045-11100000031220.50071219001028656774699795727385720635300.00%3233.33%01116200755.61%1098201454.52%595105056.67%146110451368410738373
12Griffins330000002161511000000835220000001331061.00021365700102865671176997957273811631375311654.55%10190.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
13Gulls11000000523000000000001100000052321.00058130010286567296997957273830182272150.00%000.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
14Heat220000001138110000006151100000052341.00011223300102865671076997957273841166416116.67%3166.67%01116200755.61%1098201454.52%595105056.67%146110451368410738373
15IceHogs11000000826000000000001100000082621.0008122000102865674469979572738461182122100.00%30100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
16Islanders2010010068-2000000000002010010068-210.250612180010286567826997957273865148337114.29%4175.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
17Marlies30100011810-21010000013-22000001177030.500814220010286567123699795727381193530614125.00%14564.29%01116200755.61%1098201454.52%595105056.67%146110451368410738373
18Monsters11000000963110000009630000000000021.000917260010286567336997957273851164154125.00%20100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
19Moose1010000034-1000000000001010000034-100.0003580010286567256997957273838144152150.00%20100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
20Phantoms11000000321110000003210000000000021.000358001028656742699795727382981015300.00%5260.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
21Reign21100000541110000003121010000023-120.500591400102865676669979572738611520469111.11%90100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
22Roadrunners422000001520-531200000915-61100000065140.50015264100102865671516997957273816352289312433.33%14192.86%11116200755.61%1098201454.52%595105056.67%146110451368410738373
23Rocket3210000069-3220000005321010000016-540.667612180110286567966997957273882262591000.00%20100.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
24Senators413000001519-42110000078-120200000811-320.25015294410102865671456997957273816149297614535.71%12558.33%01116200755.61%1098201454.52%595105056.67%146110451368410738373
25Silver Knights210010001394100010007611100000063341.0001322350010286567896997957273861124488337.50%2150.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
26Wild11000000945110000009450000000000021.00091726001028656746699795727384082182150.00%110.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
27Wolf Pack1010000017-6000000000001010000017-600.0001230010286567266997957273848131219200.00%6350.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
28Wolves1000010078-1000000000001000010078-110.5007121900102865673669979572738351010173133.33%4250.00%01116200755.61%1098201454.52%595105056.67%146110451368410738373
Total592724013222472262129169011111291022730111500211118124-6650.5512474456921110286567223869979572738209062137811421854926.49%1604174.38%21116200755.61%1098201454.52%595105056.67%146110451368410738373
_Since Last GM Reset592724013222472262129169011111291022730111500211118124-6650.5512474456921110286567223869979572738209062137811421854926.49%1604174.38%21116200755.61%1098201454.52%595105056.67%146110451368410738373
_Vs Conference33121500222126130-4151030001167481918212002115982-23320.485126229355111028656711956997957273812463672416091092926.61%982871.43%11116200755.61%1098201454.52%595105056.67%146110451368410738373
_Vs Division2381100022858321163000114534111228000114049-9220.47885152237111028656784869979572738860251156457812632.10%641871.88%11116200755.61%1098201454.52%595105056.67%146110451368410738373

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5965W124744569222382090621378114211
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5927241322247226
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
291691111129102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3011150211118124
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1854926.49%1604174.38%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
6997957273810286567
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
1116200755.61%1098201454.52%595105056.67%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146110451368410738373


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
1 - 2022-05-316Roadrunners4American5BWSommaire du match
3 - 2022-06-0219American2Senators3ALSommaire du match
4 - 2022-06-0325American1Checkers4ALSommaire du match
7 - 2022-06-0649Crunch4American5BWXXSommaire du match
9 - 2022-06-0856American3Checkers4ALSommaire du match
14 - 2022-06-1389Bruins3American6BWSommaire du match
17 - 2022-06-16110Chekers3American2BLXSommaire du match
19 - 2022-06-18130American2Marlies3ALXXSommaire du match
21 - 2022-06-20141American6Griffins2AWSommaire du match
22 - 2022-06-21152Senators3American4BWSommaire du match
25 - 2022-06-24173Griffins3American8BWSommaire du match
28 - 2022-06-27193American3Islanders4ALXSommaire du match
30 - 2022-06-29206Rocket0American1BWSommaire du match
34 - 2022-07-03230Checkers3American2BLSommaire du match
37 - 2022-07-06254American1Rocket6ALSommaire du match
38 - 2022-07-07261American2Bruins3ALSommaire du match
40 - 2022-07-09273Phantoms2American3BWSommaire du match
43 - 2022-07-12296Wild4American9BWSommaire du match
44 - 2022-07-13309American3Eagles1AWSommaire du match
47 - 2022-07-16327Monsters6American9BWSommaire du match
49 - 2022-07-18342American6Canucks4AWSommaire du match
51 - 2022-07-20358Canucks5American3BLSommaire du match
53 - 2022-07-22375American7Griffins1AWSommaire du match
55 - 2022-07-24389American6Senators8ALSommaire du match
56 - 2022-07-25400Rocket3American4BWSommaire du match
59 - 2022-07-28422American4Comets7ALSommaire du match
60 - 2022-07-29431Chekers3American7BWSommaire du match
63 - 2022-08-01452American6Roadrunners5AWSommaire du match
65 - 2022-08-03464Barrucada4American3BLSommaire du match
68 - 2022-08-06483American3Islanders4ALSommaire du match
70 - 2022-08-08496Comets4American7BWSommaire du match
72 - 2022-08-10512American5Heat2AWSommaire du match
75 - 2022-08-13529Senators5American3BLSommaire du match
78 - 2022-08-16554Checkers2American7BWSommaire du match
81 - 2022-08-19567American2Reign3ALSommaire du match
83 - 2022-08-21584American6Condors5AWSommaire du match
84 - 2022-08-22593Admirals2American5BWSommaire du match
87 - 2022-08-25616Crunch5American4BLXXSommaire du match
89 - 2022-08-27628American1Wolf Pack7ALSommaire du match
91 - 2022-08-29640American3Moose4ALSommaire du match
92 - 2022-08-30652Silver Knights6American7BWXSommaire du match
95 - 2022-09-02670American6Admirals9ALSommaire du match
97 - 2022-09-04680American2Bruins4ALSommaire du match
98 - 2022-09-05692Roadrunners5American1BLSommaire du match
101 - 2022-09-08716American5Gulls2AWSommaire du match
102 - 2022-09-09725Roadrunners6American3BLSommaire du match
106 - 2022-09-13750American7Wolves8ALXSommaire du match
107 - 2022-09-14756Condors5American4BLSommaire du match
110 - 2022-09-17775American3Barrucada2AWSommaire du match
111 - 2022-09-18790Heat1American6BWSommaire du match
114 - 2022-09-21813Bears2American3BWSommaire du match
116 - 2022-09-23831American5Marlies4AWXXSommaire du match
118 - 2022-09-25845Reign1American3BWSommaire du match
120 - 2022-09-27862American3Crunch7ALSommaire du match
122 - 2022-09-29877Marlies3American1BLSommaire du match
124 - 2022-10-01890American1Bears3ALSommaire du match
126 - 2022-10-03905American8IceHogs2AWSommaire du match
128 - 2022-10-05917Eagles5American4BLSommaire du match
130 - 2022-10-07933American6Silver Knights3AWSommaire du match
132 - 2022-10-09946Penguins-American-
134 - 2022-10-11958American-Wild-
136 - 2022-10-13977Moose-American-
138 - 2022-10-15991American-Penguins-
141 - 2022-10-181011Griffins-American-
144 - 2022-10-211034American-Stars-
146 - 2022-10-231045Bruins-American-
149 - 2022-10-261068American-Monsters-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-10-271077Stars-American-
153 - 2022-10-301098Gulls-American-
155 - 2022-11-011111American-Rocket-
158 - 2022-11-041134Wolf Pack-American-
162 - 2022-11-081162Marlies-American-
163 - 2022-11-091171American-Crunch-
166 - 2022-11-121194Thunderbirds-American-
168 - 2022-11-141202American-Chekers-
170 - 2022-11-161221IceHogs-American-
172 - 2022-11-181229American-Phantoms-
173 - 2022-11-191239American-Thunderbirds-
176 - 2022-11-221258Wolves-American-
179 - 2022-11-251278American-Checkers-
181 - 2022-11-271289Islanders-American-
183 - 2022-11-291299American-Checkers-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,786,430$ 1,716,276$ 1,716,276$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,227$ 1,192,355$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 13,797$ 772,632$




American Leaders statistiques (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

American 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

American 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

American Leaders statistiques (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

American 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