Senators
GP: 82 | W: 40 | L: 35 | OTL: 7 | P: 87
GF: 207 | GA: 224 | PP%: 14.87% | PK%: 87.42%
DG: Farlou Ferland | Morale : 50 | Moyenne d'Équipe : N/A
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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 SPÂgeContratSalaire
1Alexander Volkov (R)XX100.00757183647181866350625867555555655000223925,000$
2Filip ChlapikX100.00884589777252826239605959535757645000231925,000$
3Marko DanoXX100.00687551767567715650574763455858575000252925,000$
4Michael McLeodX100.008144897970568559746355722547476450002221,363,333$
5Ryan DzingelXX100.006762868271678875357664632564656945002821,800,000$
6Robert ThomasXX100.005941918368688569598468552559617054002021,177,500$
7Nick PaulXX100.00876987718767786177657072255656715000252750,000$
8Tyson JostXX100.007343898569639072516762672561626850002241,673,333$
9Michael Dal ColleXX100.00804492667461756056605862255556634900242700,000$
10Andreas EnglundX100.00899585747455765725504763635757595000244700,000$
11Christian JarosX100.00764486637655725325574765255454595000242755,000$
12Christian WolaninX100.00727078797055594525284362415757515000252925,000$
13Jake DotchinX100.00707949657956594825394061385656515000264700,000$
14Samuel GirardX100.00695191885983937825704866256263664500221935,833$
15Carl DahlstromX100.00614387618665586125464773755959575000251925,000$
Rayé
MOYENNE D'ÉQUIPE100.0074588274736377614359546538575862500
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
1Antoine Bibeau100.0044526582404350524445304444464500
2Artyom Zagidulin (R)100.0051577173495450565252304444534500
Rayé
MOYENNE D'ÉQUIPE100.004855687845495054484930444450450
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gomez59655659595586USA423850,000$


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 RoslovicSenatorsC/RW5323264912220491441323611217.42%13111621.07611174023020251633449.50%140000010.8817000642
2Filip ChlapikSenators (OTT)C8221274805801331201744310912.07%6138716.927916543080000792241.16%110300000.6906000625
3Joel FarabeeSenatorsLW5318274513411571105129419213.95%21107420.2769154623401101593040.91%6600000.8417012255
4Alexander VolkovSenators (OTT)LW/RW48142438-198420130112150411139.33%11101321.11111627452390002502147.06%8500000.7500102124
5Carl DahlstromSenators (OTT)D82142337-1290013483108277312.96%70149518.247111877268000040210.00%000000.4900000253
6Ryan DzingelSenators (OTT)LW/RW48191635-234066102125339315.20%784717.6533632180000026137.04%5400000.8300000642
7Marko DanoSenators (OTT)LW/RW82102333-3701010091100377010.00%10109213.322810201530000131044.07%5900000.6000011032
8Michael McLeodSenators (OTT)C82181028-1148081153108287416.67%2290611.06235125510162272059.15%73200000.6200000136
9Christian JarosSenators (OTT)D4862026-1480673842152814.29%4194919.783811301850000170100.00%000000.5500000112
10Michael Dal ColleSenators (OTT)LW/RW428182613300653145183217.78%870016.67235141420221604146.75%7700000.7400000113
11Christian WolaninSenators (OTT)D8261925-10660814648143312.50%45130415.913811292030000171110.00%000000.3800000021
12Nick PaulSenators (OTT)C/LW48911201338054539312499.68%861712.870000500061322168.97%2900000.6500000501
13Samuel GirardSenators (OTT)D2531316228038412382413.04%1959023.6235822124000056200.00%000000.5400000201
14Andreas EnglundSenators (OTT)D4821315-2761081201431314.29%4075815.811122130000165100.00%000000.4000200042
15Dante FabbroSenatorsD134812-118028182851814.29%1023518.08426195900002100.00%000001.0200000210
16Jake DotchinSenators (OTT)D82178-1012810133282911243.45%49114413.9512314470000179000.00%000000.1400002000
17Tyson JostSenators (OTT)C/LW4835840018302341313.04%103517.320000000062451144.00%2500000.4600000210
18Kevin RooneySenatorsC11235212017301951810.53%223121.060005450001450060.97%26900000.4300000010
Stats d'équipe Total ou en Moyenne977181293474-128916513461245139038198813.02%3921581616.1961991604612498336271969341349.35%389900010.60220327373939
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
1Chris DriedgerSenators2919730.9271.40176326415600200.71414290504
2Antoine BibeauSenators (OTT)1981000.8413.6198100593710000.00001944000
Stats d'équipe Total ou en Moyenne48271730.8932.192744261009310200.714144844504


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 RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander VolkovSenators (OTT)LW/RW221997-08-02Yes191 Lbs6 ft1NoNoNo3Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$925,000$
Andreas EnglundSenators (OTT)D241996-01-21No189 Lbs6 ft3NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Lien
Antoine Bibeau (Contrat à 1 Volet)Senators (OTT)G261994-05-01No207 Lbs6 ft3NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$75,000$605$No750,000$Lien
Artyom ZagidulinSenators (OTT)G251995-01-01Yes200 Lbs6 ft0NoNoNo2Pro & Farm750,000$6,048$750,000$6,048$0$0$No750,000$Lien
Carl DahlstromSenators (OTT)D251995-01-28No231 Lbs6 ft4NoNoNo1Pro & Farm925,000$7,460$925,000$7,460$0$0$NoLien
Christian JarosSenators (OTT)D241996-04-02No201 Lbs6 ft3NoNoNo2Pro & Farm755,000$6,089$450,000$3,629$0$0$No755,000$Lien
Christian WolaninSenators (OTT)D251995-03-17No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$7,460$450,000$3,629$0$0$No925,000$Lien
Filip ChlapikSenators (OTT)C231997-06-03No196 Lbs6 ft1NoNoNo1Pro & Farm925,000$7,460$925,000$7,460$0$0$NoLien
Jake DotchinSenators (OTT)D261994-03-24No210 Lbs6 ft3NoNoNo4Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$700,000$700,000$Lien
Marko DanoSenators (OTT)LW/RW251994-11-30No212 Lbs5 ft11NoNoNo2Pro & Farm925,000$7,460$925,000$7,460$0$0$No925,000$Lien
Michael Dal ColleSenators (OTT)LW/RW241996-06-19No198 Lbs6 ft3NoNoNo2Pro & Farm700,000$5,645$700,000$5,645$0$0$No700,000$Lien
Michael McLeodSenators (OTT)C221998-02-03No187 Lbs6 ft2NoNoNo2Pro & Farm1,363,333$10,995$450,000$3,629$0$0$No1,363,333$Lien
Nick PaulSenators (OTT)C/LW251995-03-20No230 Lbs6 ft4NoNoNo2Pro & Farm750,000$6,048$450,000$3,629$0$0$No750,000$Lien
Robert ThomasSenators (OTT)C/RW201999-07-02No188 Lbs6 ft0NoNoNo2Pro & Farm1,177,500$9,496$1,177,500$9,496$0$0$No1,177,500$Lien
Ryan DzingelSenators (OTT)LW/RW281992-03-09No190 Lbs6 ft0NoNoNo2Pro & Farm1,800,000$14,516$1,800,000$14,516$0$0$No1,800,000$Lien
Samuel GirardSenators (OTT)D221998-05-12No162 Lbs5 ft10NoNoNo1Pro & Farm935,833$7,547$935,833$7,547$0$0$NoLien
Tyson JostSenators (OTT)C/LW221998-03-14No191 Lbs5 ft11NoNoNo4Pro & Farm1,673,333$13,495$1,673,333$13,495$0$0$No1,673,333$1,673,333$1,673,333$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1724.00198 Lbs6 ft12.24981,176$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander Volkov38122
2Ryan Dzingel30122
3Nick PaulFilip ChlapikMarko Dano27122
4Tyson JostMichael McLeodFilip Chlapik5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom39122
2Christian JarosChristian Wolanin33122
3Andreas EnglundJake Dotchin28122
4Carl Dahlstrom0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Alexander Volkov55005
2Ryan DzingelFilip Chlapik45005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom55005
2Christian JarosChristian Wolanin45005
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyson Jost55230
2Michael McLeodNick Paul45230
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Andreas EnglundJake Dotchin55230
2Christian JarosChristian Wolanin45230
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155140Jake DotchinAndreas Englund55140
2Michael McLeod45140Christian JarosChristian Wolanin45140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
150122
2Ryan Dzingel50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl Dahlstrom50122
2Christian JarosChristian Wolanin50122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Filip ChlapikCarl Dahlstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick PaulMichael McLeodCarl Dahlstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Alexander Volkov, Alexander Volkov
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Christian Wolanin, Jake Dotchin, Christian WolaninJake Dotchin,
Tirs de Pénalité
, , Filip Chlapik, Michael McLeod,
Gardien
#1 : , #2 : Antoine Bibeau


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
1Admirals22000000927110000004041100000052341.000916250171725864252550353737308294913323.08%110100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
2Bruins804010031225-134020000228-6402010011017-750.313122032007172586142525503537371725013115347510.64%56885.71%01033222946.34%1028221846.35%522117644.39%194213612054602970472
3Condors22000000523110000003211100000020241.00058130171725863852550353737451071351715.88%16193.75%01033222946.34%1028221846.35%522117644.39%194213612054602970472
4Crunch825001001930-1141300000914-5412001001016-650.31319335200717258614952550353737214689916849612.24%43686.05%01033222946.34%1028221846.35%522117644.39%194213612054602970472
5Flames2020000048-41010000023-11010000025-300.0004711007172586245255035373743926361417.14%14285.71%01033222946.34%1028221846.35%522117644.39%194213612054602970472
6Griffins935000012428-4430000011510550500000918-970.38924386200717258620952550353737217689219441819.51%44588.64%21033222946.34%1028221846.35%522117644.39%194213612054602970472
7IceHogs2020000046-21010000023-11010000023-100.0004812007172586345255035373744172850500.00%15473.33%01033222946.34%1028221846.35%522117644.39%194213612054602970472
8Marlies86200000231494400000013494220000010100120.75023406301717258619252550353737139419214550816.00%43490.70%01033222946.34%1028221846.35%522117644.39%194213612054602970472
9Monarchs21000010514110000004131000001010141.0005813017172586235255035373741936406233.33%180100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
10Monsters3210000057-2110000002022110000037-440.667581301717258654525503537374516323919315.79%16475.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
11Moose32100000871211000005501100000032140.6678132101717258651525503537376321364920525.00%15193.33%01033222946.34%1028221846.35%522117644.39%194213612054602970472
12Penguins40300010711-42020000037-42010001044020.2507111800717258661525503537378936297723313.04%11190.91%01033222946.34%1028221846.35%522117644.39%194213612054602970472
13Phantoms3210000011101211000008801100000032140.66711182910717258658525503537376521205822627.27%90100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
14Rampage3210000079-22110000047-31100000032140.6677132000717258658525503537377323286015426.67%14657.14%01033222946.34%1028221846.35%522117644.39%194213612054602970472
15Rocket8420200025214430010001495412010001112-1120.75025386300717258614852550353737152379213543716.28%39489.74%11033222946.34%1028221846.35%522117644.39%194213612054602970472
16Sharks211000005501010000025-31100000030320.5005101501717258638525503537373712183911218.18%80100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
17Soldiers20101000330100010003211010000001-120.500336007172586245255035373740718281000.00%80100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
18Sound Tigers33000000954220000006331100000032161.0009182700717258679525503537376823315417211.76%130100.00%01033222946.34%1028221846.35%522117644.39%194213612054602970472
19Stars30200001713-61010000024-22010000159-410.167714210071725865152550353737772063771200.00%23673.91%01033222946.34%1028221846.35%522117644.39%194213612054602970472
20Wolf Pack31200000810-21010000014-32110000076120.333812200071725865352550353737791530591516.67%13376.92%01033222946.34%1028221846.35%522117644.39%194213612054602970472
21Wolves21000001770110000005411000000123-130.750713200071725865252550353737377323915213.33%16193.75%01033222946.34%1028221846.35%522117644.39%194213612054602970472
Total82343504126207224-174121150200310910364113200212398121-23870.5302073495561771725861580525503537371770518103315844646914.87%4455687.42%31033222946.34%1028221846.35%522117644.39%194213612054602970472
_Since Last GM Reset82343504126207224-174121150200310910364113200212398121-23870.5302073495561771725861580525503537371770518103315844646914.87%4455687.42%31033222946.34%1028221846.35%522117644.39%194213612054602970472
_Vs Conference47172203113114136-22231010010025457-324712021116079-19460.489114187301127172586881525503537379982935518702824014.18%2443286.89%11033222946.34%1028221846.35%522117644.39%194213612054602970472
_Vs Division41121303103103118-15208501002534582148021015073-23340.415103169272017172586840525503537378942645067952303414.78%2252788.00%31033222946.34%1028221846.35%522117644.39%194213612054602970472

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8287L1207349556158017705181033158417
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8234354126207224
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121152003109103
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
411320212398121
Derniers 10 Matchs
WLOTWOTL SOWSOL
550000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4646914.87%4455687.42%3
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
525503537377172586
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
1033222946.34%1028221846.35%522117644.39%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
194213612054602970472


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
1 - 2020-09-278Senators2Griffins6LSommaire du Match
2 - 2020-09-2816Rocket2Senators4WSommaire du Match
4 - 2020-09-3024Senators3Rocket5LSommaire du Match
5 - 2020-10-0138Griffins4Senators3LXXSommaire du Match
6 - 2020-10-0251Marlies1Senators3WSommaire du Match
8 - 2020-10-0458Senators3Rocket2WXSommaire du Match
10 - 2020-10-0671Senators1Marlies2LSommaire du Match
12 - 2020-10-0884Griffins4Senators5WSommaire du Match
14 - 2020-10-1095Marlies0Senators2WSommaire du Match
16 - 2020-10-12105Senators0Griffins1LSommaire du Match
18 - 2020-10-14112Rocket4Senators5WSommaire du Match
21 - 2020-10-17133Crunch6Senators4LSommaire du Match
22 - 2020-10-18136Senators0Bruins4LSommaire du Match
23 - 2020-10-19152Senators2Crunch5LSommaire du Match
24 - 2020-10-20157Bruins2Senators0LSommaire du Match
26 - 2020-10-22177Sound Tigers2Senators4WSommaire du Match
27 - 2020-10-23181Senators2Wolf Pack3LSommaire du Match
28 - 2020-10-24194Senators1Rocket4LSommaire du Match
31 - 2020-10-27206Senators3Phantoms2WSommaire du Match
32 - 2020-10-28215IceHogs3Senators2LSommaire du Match
34 - 2020-10-30227Penguins4Senators1LSommaire du Match
36 - 2020-11-01231Senators4Stars5LXXSommaire du Match
38 - 2020-11-03245Soldiers2Senators3WXSommaire du Match
40 - 2020-11-05258Senators1Monsters6LSommaire du Match
43 - 2020-11-08272Rocket2Senators3WXSommaire du Match
44 - 2020-11-09281Senators2Bruins5LSommaire du Match
45 - 2020-11-10289Senators4Crunch5LXSommaire du Match
46 - 2020-11-11301Phantoms3Senators5WSommaire du Match
48 - 2020-11-13312Senators1Crunch4LSommaire du Match
49 - 2020-11-14321Moose5Senators1LSommaire du Match
50 - 2020-11-15333Senators3Griffins5LSommaire du Match
51 - 2020-11-16341Senators2Flames5LSommaire du Match
52 - 2020-11-17350Griffins1Senators5WSommaire du Match
53 - 2020-11-18357Senators4Bruins3WXSommaire du Match
55 - 2020-11-20374Marlies1Senators4WSommaire du Match
56 - 2020-11-21388Bruins2Senators1LXXSommaire du Match
58 - 2020-11-23401Admirals0Senators4WSommaire du Match
59 - 2020-11-24410Senators5Admirals2WSommaire du Match
60 - 2020-11-25420Senators2Wolves3LXXSommaire du Match
61 - 2020-11-26428Senators2IceHogs3LSommaire du Match
63 - 2020-11-28437Senators3Sharks0WSommaire du Match
64 - 2020-11-29444Bruins2Senators1LXXSommaire du Match
66 - 2020-12-01460Penguins3Senators2LSommaire du Match
67 - 2020-12-02471Senators1Monarchs0WXXSommaire du Match
68 - 2020-12-03480Crunch2Senators0LSommaire du Match
70 - 2020-12-05491Senators1Marlies3LSommaire du Match
71 - 2020-12-06502Rampage2Senators3WSommaire du Match
72 - 2020-12-07515Senators3Penguins2WXXSommaire du Match
74 - 2020-12-09521Senators2Condors0WSommaire du Match
75 - 2020-12-10532Bruins2Senators0LSommaire du Match
77 - 2020-12-12547Marlies2Senators4WSommaire du Match
78 - 2020-12-13557Senators4Rocket1WSommaire du Match
79 - 2020-12-14569Crunch2Senators3WSommaire du Match
80 - 2020-12-15576Senators2Monsters1WSommaire du Match
82 - 2020-12-17589Monsters0Senators2WSommaire du Match
85 - 2020-12-20604Senators3Sound Tigers2WSommaire du Match
86 - 2020-12-21612Moose0Senators4WSommaire du Match
87 - 2020-12-22623Senators0Soldiers1LSommaire du Match
88 - 2020-12-23635Senators3Moose2WSommaire du Match
90 - 2020-12-25643Rocket1Senators2WSommaire du Match
92 - 2020-12-27658Griffins1Senators2WSommaire du Match
93 - 2020-12-28667Senators1Penguins2LSommaire du Match
94 - 2020-12-29674Senators3Crunch2WSommaire du Match
95 - 2020-12-30682Sound Tigers1Senators2WSommaire du Match
96 - 2020-12-31700Flames3Senators2LSommaire du Match
97 - 2021-01-01711Senators3Griffins4LSommaire du Match
99 - 2021-01-03722Stars4Senators2LSommaire du Match
100 - 2021-01-04729Senators1Griffins2LSommaire du Match
102 - 2021-01-06744Monarchs1Senators4WSommaire du Match
104 - 2021-01-08760Senators4Bruins5LXXSommaire du Match
105 - 2021-01-09769Phantoms5Senators3LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
106 - 2021-01-10784Condors2Senators3WSommaire du Match
108 - 2021-01-12798Wolf Pack4Senators1LSommaire du Match
110 - 2021-01-14809Senators3Rampage2WSommaire du Match
111 - 2021-01-15816Senators5Wolf Pack3WSommaire du Match
112 - 2021-01-16829Rampage5Senators1LSommaire du Match
114 - 2021-01-18844Wolves4Senators5WSommaire du Match
117 - 2021-01-21863Sharks5Senators2LSommaire du Match
118 - 2021-01-22870Senators3Marlies1WSommaire du Match
119 - 2021-01-23878Senators1Stars4LSommaire du Match
120 - 2021-01-24887Senators5Marlies4WSommaire du Match
122 - 2021-01-26896Crunch4Senators2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,580,668$ 1,592,999$ 1,393,666$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,737,538$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 19,702$ 19,702$




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