Americans

GP: 5 | W: 2 | L: 2 | OTL: 1 | P: 5
GF: 15 | GA: 10 | PP%: 13.79% | PK%: 86.21%
DG: Frederic Goldstyn | Morale : 48 | Moyenne d'Équipe : N/A
Prochain matchs #63 vs Comets
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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 SP
1Anton SlepyshevX100.0087556077777165725066677155787014900
2John QuennevilleX100.0059556380766969625060606055505014900
3Devin Setoguchi (R)X100.0055555555555555555055555555717114900
4Brandon PirriX100.0065557484807878655060656055777414900
5Peter CehlarikX100.0060556474797169625061616055505014900
6Justin Kloos (R)X100.0065557371626976605060626055505014900
7Zach SanfordX100.0060557474746564605060615955505015300
8Deven Sideroff (R)X100.0056555555565757555055555555757314900
9Chase Lang (R)X100.0056555555575858555055555555656814900
10Eric Cornel (R)X100.0056556562777071555055555555726614400
11Taylor BeckX100.0060556966786969605060616155555614900
12Shane HarperX100.0060555972686662585057585955505014900
13Kyle QuinceyX100.0072556173887581672563606955857814900
14Justin HollX100.0060556963628168652560656255535314900
15Casey NelsonX100.0075558875728461722563657755727114900
16Kevin GravelX100.0070557570707564702562606755535314900
17Calle Rosen (R)X100.0060556275587272642561606255626214900
18Julius HonkaX100.0071558391707378762563617555797714900
Rayé
1Cameron DarcyX100.0075556562776766555055555555716614500
2Cam DarcyX100.0065556655735968555055555555737314500
3Greg CareyX100.0056555555565756555055555555715014500
4Erik CondraX100.0056555555565757555055555555717314500
5Julius Nattinen (R)X100.0056555555555655555055555555505014500
6Conner Bleackley (R)X100.0056556662736768555055555555737114500
7Vaclav Karabacek (R)X100.0056555555555555555055555555505014500
8Yakov Trenin (R)X100.0056555555555555555055555555505014500
9Oliver KylingtonX100.0055555760575763572557575755535314500
10Robbie RussoX100.0055555560555575552555555555535314500
11Jyrki JokipakkaX100.0055555560555555552555555555626214500
12Vojtech MozikX100.0055555560555567552555555555535314500
13Blake Siebenaler (R)X100.0055555560555564552555555555535314500
14Reece ScarlettX100.0055555760575764572557575755535314500
MOYENNE D'ÉQUIPE100.006155636565656560415858595562601470
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Charlie Lindgren100.006670677270707168707155696714900
2Marek Mazanec100.007180877668687366707055716914900
Rayé
MOYENNE D'ÉQUIPE100.00697577746969726770715570681490
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Stevens51536157657059CAN521100,000$


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'ÉquipePOS GP 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
1Casey NelsonAmericans (Buf)D514552063107810.00%411923.86101625000025000.00%000000.8400000100
2Julius HonkaAmericans (Buf)D51456208711379.09%1011523.19011624000023000.00%000000.8600000010
3John QuennevilleAmericans (Buf)C513424071413197.69%110320.750112230001150057.73%9700000.7700000001
4Zach SanfordAmericans (Buf)LW531411210531201025.00%08116.272025130000111042.11%1900000.9800101000
5Kevin GravelAmericans (Buf)D51340007688212.50%611022.15022522000023000.00%000000.7200000000
6Shane HarperAmericans (Buf)RW531424074186716.67%08517.14101823000000066.67%300000.9300000100
7Anton SlepyshevAmericans (Buf)LW51234802311176165.88%011222.440004240001210057.14%6300000.5300000001
8Brandon PirriAmericans (Buf)C51234004998911.11%311723.490113240000270058.16%9800000.5100000010
9Kyle QuinceyAmericans (Buf)D502208013817580.00%710921.950221123000021000.00%000000.3600000000
10Justin HollAmericans (Buf)D52020607641250.00%07515.060000000005100.00%000000.5300000000
11Taylor BeckAmericans (Buf)LW5022160476550.00%08016.09000110000060083.33%600000.5000000000
12Peter CehlarikAmericans (Buf)RW51014003275614.29%29318.720003240000140050.00%1000000.2100000001
13Justin KloosAmericans (Buf)C5011-1601087440.00%06513.0600001000030070.00%5000000.3100000000
14Calle RosenAmericans (Buf)D50110601064350.00%17114.390000100001000.00%000000.2800000000
15Devin SetoguchiAmericans (Buf)RW5000000101130.00%0204.20000100000000100.00%100000.0000000000
16Deven SideroffAmericans (Buf)RW5000060404020.00%06012.1100000000000071.43%700000.0000000000
17Chase LangAmericans (Buf)RW5000-100220030.00%0183.6700001000000033.33%300000.0000000000
18Eric CornelAmericans (Buf)C2000000020000.00%0115.9500000000000055.56%900000.0000000000
Stats d'équipe Total ou en Moyenne87152641277010121981486310610.14%34145416.7247115524400022012059.02%36600000.5600101223
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
1Marek MazanecAmericans (Buf)52210.9001.9830300101000000.000050000
Stats d'équipe Total ou en Moyenne52210.9001.9830300101000000.000050000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Anton SlepyshevAmericans (Buf)LW221994-05-13No194 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Blake SiebenalerAmericans (Buf)D201996-02-27Yes208 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Brandon PirriAmericans (Buf)C251991-04-09No183 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Calle RosenAmericans (Buf)D221994-02-02Yes176 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Cam DarcyAmericans (Buf)C221994-03-02No185 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Cameron DarcyAmericans (Buf)C221994-03-02No192 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Casey NelsonAmericans (Buf)D241992-07-18No183 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Charlie LindgrenAmericans (Buf)G231993-12-17No181 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Chase LangAmericans (Buf)RW201996-09-13Yes187 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Conner BleackleyAmericans (Buf)C201996-02-07Yes192 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Deven SideroffAmericans (Buf)RW191997-04-14Yes179 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Devin SetoguchiAmericans (Buf)RW301987-01-01Yes205 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm500,000$0$0$No
Eric CornelAmericans (Buf)C201996-04-11Yes191 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Erik CondraAmericans (Buf)RW301986-08-06No190 Lbs6 ft0NoNoNo3Sans RestrictionPro & Farm350,000$0$0$No350,000$350,000$
Greg CareyAmericans (Buf)C261990-05-09No195 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
John QuennevilleAmericans (Buf)C201996-04-16No195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Julius HonkaAmericans (Buf)D211995-12-03No185 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Julius NattinenAmericans (Buf)C191997-01-14Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Justin HollAmericans (Buf)D241992-01-30No170 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Justin KloosAmericans (Buf)C231993-11-30Yes179 Lbs5 ft9NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Jyrki JokipakkaAmericans (Buf)D251991-08-20No210 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Kevin GravelAmericans (Buf)D241992-03-06No185 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Kyle QuinceyAmericans (Buf)D311985-08-12No216 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm1,000,000$0$0$No1,000,000$
Marek MazanecAmericans (Buf)G251991-07-18No187 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Oliver KylingtonAmericans (Buf)D191997-05-19No181 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Peter CehlarikAmericans (Buf)RW211995-08-02No202 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Reece ScarlettAmericans (Buf)D231993-03-30No180 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$
Robbie RussoAmericans (Buf)D231993-02-15No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$No300,000$300,000$300,000$
Shane HarperAmericans (Buf)RW271989-01-31No193 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Taylor BeckAmericans (Buf)LW251991-05-12No203 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Vaclav KarabacekAmericans (Buf)RW201996-05-02Yes199 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Vojtech MozikAmericans (Buf)D241992-12-26No196 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Yakov TreninAmericans (Buf)C201997-01-13Yes205 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Zach SanfordAmericans (Buf)LW221994-11-09No192 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3422.97192 Lbs6 ft12.79404,412$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevBrandon PirriPeter Cehlarik40122
2Zach SanfordJohn QuennevilleShane Harper30122
3Taylor BeckJustin KloosDeven Sideroff20122
4Chase LangEric CornelDevin Setoguchi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaCasey Nelson40122
2Kyle QuinceyKevin Gravel30122
3Calle RosenJustin Holl20122
4Julius HonkaCasey Nelson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton SlepyshevBrandon PirriPeter Cehlarik60122
2Zach SanfordJohn QuennevilleShane Harper40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaCasey Nelson60122
2Kyle QuinceyKevin Gravel40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevBrandon Pirri60122
2Peter CehlarikJohn Quenneville40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaCasey Nelson60122
2Kyle QuinceyKevin Gravel40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Anton Slepyshev60122Julius HonkaCasey Nelson60122
2Brandon Pirri40122Kyle QuinceyKevin Gravel40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Anton SlepyshevBrandon Pirri60122
2Peter CehlarikJohn Quenneville40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Julius HonkaCasey Nelson60122
2Kyle QuinceyKevin Gravel40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevBrandon PirriPeter CehlarikJulius HonkaCasey Nelson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton SlepyshevBrandon PirriPeter CehlarikJulius HonkaCasey Nelson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Chase Lang, Justin Kloos, Taylor BeckChase Lang, Justin KloosTaylor Beck
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Calle Rosen, Justin Holl, Kyle QuinceyCalle RosenJustin Holl, Kyle Quincey
Tirs de Pénalité
Anton Slepyshev, Brandon Pirri, Peter Cehlarik, John Quenneville, Justin Kloos
Gardien
#1 : Marek Mazanec, #2 : Charlie Lindgren


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
LigueDomicileVisiteur
# 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
1Checkers2200000012392200000012390000000000041.00012223400744073504354139926607228.57%80100.00%08415753.50%8813863.77%446864.71%15611589325732
2Crunch1010000002-21010000002-20000000000000.0000000074402550435412261416700.00%7185.71%08415753.50%8813863.77%446864.71%15611589325732
3Sound Tigers2010010035-2000000000002010010035-210.2503470074405050435413919304515213.33%14378.57%08415753.50%8813863.77%446864.71%15611589325732
Total52200100151053210000012572010010035-250.5001526410074401485043541100347012129413.79%29486.21%08415753.50%8813863.77%446864.71%15611589325732
_Since Last GM Reset52200100151053210000012572010010035-250.5001526410074401485043541100347012129413.79%29486.21%08415753.50%8813863.77%446864.71%15611589325732
_Vs Conference2200000012392200000012390000000000041.00012223400744073504354139926607228.57%80100.00%08415753.50%8813863.77%446864.71%15611589325732

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
55OTL1152641148100347012100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
52201001510
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3210000125
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201010035
Derniers 10 Matchs
WLOTWOTL SOWSOL
220100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
29413.79%29486.21%0
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
50435417440
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
8415753.50%8813863.77%446864.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
15611589325732


Derniers Match 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
3 - 2018-09-073Checkers2Americans5WSommaire du Match
4 - 2018-09-0815Checkers1Americans7WSommaire du Match
8 - 2018-09-1230Crunch2Americans0LSommaire du Match
11 - 2018-09-1543Americans2Sound Tigers3LSommaire du Match
12 - 2018-09-1658Americans1Sound Tigers2LXSommaire du Match
15 - 2018-09-1963Americans-Comets-
17 - 2018-09-2174Marlies-Americans-
18 - 2018-09-2286Americans-Senators-
24 - 2018-09-28111Comets-Americans-
25 - 2018-09-29125Rocket-Americans-
31 - 2018-10-05145Bears-Americans-
32 - 2018-10-06156Americans-Bears-
36 - 2018-10-10177Monsters-Americans-
38 - 2018-10-12187Crunch-Americans-
45 - 2018-10-19229Americans-Thunderbirds-
46 - 2018-10-20245Americans-Bruins-
47 - 2018-10-21249Americans-Wolf Pack-
52 - 2018-10-26270Comets-Americans-
53 - 2018-10-27284Americans-Devils-
59 - 2018-11-02312Penguins-Americans-
60 - 2018-11-03327Americans-Devils-
64 - 2018-11-07344Comets-Americans-
66 - 2018-11-09353Bruins-Americans-
67 - 2018-11-10366Americans-Crunch-
71 - 2018-11-14386Devils-Americans-
73 - 2018-11-16395Monsters-Americans-
74 - 2018-11-17404Americans-Monsters-
78 - 2018-11-21430Senators-Americans-
80 - 2018-11-23437Wolf Pack-Americans-
81 - 2018-11-24453Wolf Pack-Americans-
85 - 2018-11-28465Americans-Monsters-
87 - 2018-11-30481Marlies-Americans-
88 - 2018-12-01490Americans-Comets-
92 - 2018-12-05512Sound Tigers-Americans-
94 - 2018-12-07524Americans-Rocket-
95 - 2018-12-08532Americans-Rocket-
101 - 2018-12-14568Marlies-Americans-
102 - 2018-12-15574Americans-Marlies-
108 - 2018-12-21608Americans-Penguins-
109 - 2018-12-22625Americans-Phantoms-
113 - 2018-12-26650Devils-Americans-
115 - 2018-12-28661Comets-Americans-
116 - 2018-12-29673Americans-Crunch-
122 - 2019-01-04689Americans-Devils-
123 - 2019-01-05701Americans-Wolf Pack-
127 - 2019-01-09719Crunch-Americans-
129 - 2019-01-11725Thunderbirds-Americans-
130 - 2019-01-12740Americans-Comets-
133 - 2019-01-15757Americans-Monsters-
136 - 2019-01-18774Crunch-Americans-
137 - 2019-01-19782Americans-Crunch-
138 - 2019-01-20797Devils-Americans-
141 - 2019-01-23811Monsters-Americans-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
143 - 2019-01-25818Americans-Comets-
144 - 2019-01-26834Senators-Americans-
148 - 2019-01-30852Americans-Comets-
151 - 2019-02-02871Americans-Crunch-
152 - 2019-02-03884Crunch-Americans-
157 - 2019-02-08904Sound Tigers-Americans-
158 - 2019-02-09916Americans-Devils-
159 - 2019-02-10926Devils-Americans-
162 - 2019-02-13938Comets-Americans-
164 - 2019-02-15946Americans-Checkers-
165 - 2019-02-16955Americans-Checkers-
171 - 2019-02-22988Monsters-Americans-
172 - 2019-02-23994Americans-Marlies-
173 - 2019-02-241011Americans-Marlies-
176 - 2019-02-271021Phantoms-Americans-
178 - 2019-03-011032Rocket-Americans-
179 - 2019-03-021048Americans-Devils-
185 - 2019-03-081077Crunch-Americans-
186 - 2019-03-091089Americans-Crunch-
188 - 2019-03-111104Americans-Monsters-
192 - 2019-03-151121Devils-Americans-
193 - 2019-03-161130Americans-Crunch-
194 - 2019-03-171142Americans-Senators-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
35 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
15,912$ 137,500$ 77,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 9,217$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 181 1,224$ 221,544$




LigueDomicileVisiteur
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
1352200100151053210000012572010010035-251526410074401485043541100347012129413.79%29486.21%08415753.50%8813863.77%446864.71%15611589325732
Total Saison Régulière52200100151053210000012572010010035-251526410074401485043541100347012129413.79%29486.21%08415753.50%8813863.77%446864.71%15611589325732
Séries
1216970000042366844000002320385300000191631842751170116111503581191191182349882113261081816.67%89989.89%022849046.53%20446344.06%9621844.04%410282362119199102
1216970000042366844000002320385300000191631842751170116111503581191191182349882113261081816.67%89989.89%022849046.53%20446344.06%9621844.04%410282362119199102
Total Séries3218140000084721216880000046406161060000038326368415023402322230071623823823646981764226522163616.67%1781889.89%045698046.53%40892644.06%19243644.04%820564724238399205