Calgary Hitman

GP: 24 | W: 13 | L: 11
GF: 102 | GA: 98 | PP%: 33.87% | PK%: 69.49%
DG: Charles | Morale : 85 | Moyenne d'Équipe : 60
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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
1Marcus SorensenXX100.007653907965658560376270652556577066630
2Trevor MooreXXX100.006741857561708765256267752547475175630
3Kiefer Sherwood (R)XX100.008144947266597959386162652548486681610
4Paul ThompsonXXX100.006974586274849064505965626245456586610
5J.T. BrownXX100.008355847361536357335957712568716383600
6Nick LappinX100.008044997566668565575055612549496282600
7Mitch CallahanX100.007570886970676961505662645944446477600
8Liam O'BrienX100.007276636876828955694858615545456181590
9Joseph Gambardella (R)XX100.007343956271517455566555702545456281590
10Patrick EavesXX100.008173997473403756505644734275795765580
11Nick Jones (R)XX100.007264906864484756704760615744445983550
12Jan RuttaX100.006743877776687760255248752555556175650
13Kevin GravelX100.007344967080656058254847812556576181640
14Andrej SustrX100.008686857386586247253439723767705471630
15Erik Brannstrom (R)X100.006562757862737556255245684644445879610
16Radim SimekX100.008144936672677160255747652547476178610
17T.J. BrennanX100.007678706478747958255646644445455983610
Rayé
1Jori LehteraXX100.007666677779546460765756816365676357630
2Tanner Jeannot (R)X100.007576726876677153504556625344445819560
3Stelio Mattheos (R)X100.007872926772585954504558645544446039560
4Calvin ThurkaufX100.007474756574616646583846624454545220530
5Cody GoloubefX100.007074606874626458255048654663635761600
6Jakub JerabekX100.007672847672596250253845644352535520580
7Kale Clague (R)X100.007065817165677056255146604444445719580
8Sean Day (R)X100.008784935984606448254041673944445420580
9Jack DoughertyX100.007369836669697548253940613849495320570
MOYENNE D'ÉQUIPE100.00756383707263705640515267405252596260
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
1Marek Mazanec100.00526581794854505751513046465380560
Rayé
1Garret Sparks100.00626159836657556569629547476265610
MOYENNE D'ÉQUIPE100.0057637081575653616057634747587359
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo51766373796568CAN42260,000$


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
1Marcus SorensenCalgary Hitman (CAL)LW/RW241920392755041117337816.24%1350621.10591411500000122235.71%562513011.5400010334
2Trevor MooreCalgary Hitman (CAL)C/LW/RW241819371404829135337713.33%2054622.77831115500006485323.81%423217011.3500000612
3Paul ThompsonCalgary Hitman (CAL)C/LW/RW241315284160543574213717.57%641317.230555381011202041.97%305129001.3500000123
4Jori LehteraCalgary Hitman (CAL)C/LW217202723915504859184911.86%1645221.523699480002300156.89%6891013001.1900021021
5Mitch CallahanCalgary Hitman (CAL)RW2413122522220311854284224.07%738416.00314537000000052.63%191110011.3001031211
6Kiefer SherwoodCalgary Hitman (CAL)LW/RW245131830034327428606.76%836815.3400002000061046.15%13216000.9800000010
7J.T. BrownCalgary Hitman (CAL)LW/RW2471017-240381547183714.89%930812.84123439000000054.55%111410001.1000000001
8Jan RuttaCalgary Hitman (CAL)D2411415529536474930232.04%4765227.20145951000041000.00%01329000.4600100011
9Radim SimekCalgary Hitman (CAL)D24013133203027251970.00%2446219.2704455400005000.00%0923000.5600000000
10Nick LappinCalgary Hitman (CAL)RW247512-140352744292615.91%929812.4400005000001040.00%25194200.8000000000
11Kevin GravelCalgary Hitman (CAL)D2418962028444316212.33%5061025.4300000000350000.00%0534100.2900000101
12Andrej SustrCalgary Hitman (CAL)D241783203333367142.78%2648320.13022236011037000.00%0420000.3300000010
13Liam O'BrienCalgary Hitman (CAL)LW24437-215532213342712.12%424510.22000000001271058.33%2462000.5700001000
14Joseph GambardellaCalgary Hitman (CAL)C/LW24145-2001121298173.45%827811.5900000000060054.23%14273000.3600000000
15Nick JonesCalgary Hitman (CAL)C/RW24235-240814385195.26%52058.5700000000001053.97%6372000.4900000000
16Erik BrannstromCalgary Hitman (CAL)D24134-85583221694.76%1833013.790000500008000.00%0111000.2401100000
17T.J. BrennanCalgary Hitman (CAL)D24044-73220252215990.00%2238015.86000135000122000.00%0413000.2100103000
18Stelio MattheosCalgary Hitman (CAL)RW18224-100962071610.00%21548.59000000000000100.00%142000.5200000000
19Patrick EavesCalgary Hitman (CAL)LW/RW6000-100714020.00%1518.66000000000100100.00%110000.0000000000
Stats d'équipe Total ou en Moyenne42910217527751877556751391731957011.12%295713316.63213657664561121431813650.97%1391205221330.7802366131214
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
1Garret SparksCalgary Hitman (CAL)2413820.8924.0013802092854508000.0000240001
2Marek MazanecCalgary Hitman (CAL)30100.8504.62780064024000.0000024000
Stats d'équipe Total ou en Moyenne2713920.8904.0314592098894532000.00002424001


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 Cap 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
Andrej SustrCalgary Hitman (CAL)D271990-11-29No220 Lbs6 ft7NoNoNo1Pro & Farm750,000$0$0$NoLien
Calvin ThurkaufCalgary Hitman (CAL)C211997-06-27No204 Lbs6 ft1NoNoNo1Pro & Farm738,000$0$0$NoLien
Cody GoloubefCalgary Hitman (CAL)D281989-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$NoLien
Erik BrannstromCalgary Hitman (CAL)D181999-09-02Yes173 Lbs5 ft10NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Lien
Garret SparksCalgary Hitman (CAL)G251993-06-28No210 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien
J.T. BrownCalgary Hitman (CAL)LW/RW271990-07-02No169 Lbs5 ft10NoNoNo1Pro & Farm687,500$0$0$NoLien
Jack DoughertyCalgary Hitman (CAL)D221996-05-24No186 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Jakub JerabekCalgary Hitman (CAL)D271991-05-12No200 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Jan RuttaCalgary Hitman (CAL)D271990-07-29No200 Lbs6 ft3YesNoNo2Pro & Farm1,999,999$0$0$No1,999,999$Lien
Jori LehteraCalgary Hitman (CAL)C/LW301987-12-23No212 Lbs6 ft2YesNoNo1Pro & Farm700,000$0$0$NoLien
Joseph GambardellaCalgary Hitman (CAL)C/LW241993-12-01Yes201 Lbs5 ft10NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Kale ClagueCalgary Hitman (CAL)D201998-06-05Yes177 Lbs6 ft0NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Lien
Kevin GravelCalgary Hitman (CAL)D261992-03-06No212 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Kiefer SherwoodCalgary Hitman (CAL)LW/RW231995-03-31Yes180 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien
Liam O'BrienCalgary Hitman (CAL)LW231994-07-29No215 Lbs5 ft11NoNoNo1Pro & Farm700,000$0$0$NoLien
Marcus SorensenCalgary Hitman (CAL)LW/RW261992-04-07No175 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien
Marek MazanecCalgary Hitman (CAL)G261991-07-17No187 Lbs6 ft4NoNoNo1Pro & Farm700,000$0$0$NoLien
Mitch CallahanCalgary Hitman (CAL)RW261991-08-16No190 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Nick JonesCalgary Hitman (CAL)C/RW221996-06-02Yes176 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$NoLien
Nick LappinCalgary Hitman (CAL)RW251992-11-01No175 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien
Patrick EavesCalgary Hitman (CAL)LW/RW341984-04-30No202 Lbs6 ft0NoNoNo1Farm Only1,999,999$0$0$NoLien
Paul ThompsonCalgary Hitman (CAL)C/LW/RW291988-11-30No200 Lbs6 ft1YesNoNo1Pro & Farm600,000$0$0$NoLien
Radim SimekCalgary Hitman (CAL)D251992-09-20No205 Lbs5 ft10NoNoNo1Pro & Farm675,000$0$0$NoLien
Sean DayCalgary Hitman (CAL)D201998-01-08Yes231 Lbs6 ft2NoNoNo3Pro & Farm761,666$0$0$No761,666$761,666$Lien
Stelio MattheosCalgary Hitman (CAL)RW191999-06-13Yes198 Lbs6 ft1NoNoNo4Pro & Farm809,166$0$0$No809,166$809,166$809,166$Lien
T.J. BrennanCalgary Hitman (CAL)D291989-04-03No216 Lbs6 ft1YesNoNo1Pro & Farm750,000$0$0$NoLien
Tanner JeannotCalgary Hitman (CAL)LW211997-05-29Yes207 Lbs6 ft2NoNoNo3Pro & Farm713,333$0$0$No713,333$713,333$Lien
Trevor MooreCalgary Hitman (CAL)C/LW/RW231995-03-31No170 Lbs5 ft9NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2824.75196 Lbs6 ft11.54823,768$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Trevor MooreMarcus Sorensen40014
2Kiefer SherwoodPaul ThompsonMitch Callahan30023
3J.T. BrownJoseph GambardellaNick Lappin20122
4Liam O'BrienNick JonesPatrick Eaves10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelJan Rutta40012
2Andrej SustrRadim Simek30032
3Erik BrannstromT.J. Brennan20032
4Kevin GravelJan Rutta10032
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Trevor MooreMarcus Sorensen60005
2J.T. BrownPaul ThompsonMitch Callahan40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Radim SimekJan Rutta60014
2Andrej SustrT.J. Brennan40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Trevor Moore60041
2Marcus SorensenPatrick Eaves40041
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelJan Rutta60041
2Andrej SustrT.J. Brennan40041
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160050Kevin GravelJan Rutta60050
2Trevor Moore40050Andrej SustrT.J. Brennan40050
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Trevor Moore60023
2Marcus SorensenPaul Thompson40032
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Kevin GravelJan Rutta60032
2Andrej SustrT.J. Brennan40032
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Trevor MooreMarcus SorensenKevin GravelJan Rutta
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Trevor MoorePatrick EavesKevin GravelJan Rutta
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nick Lappin, Kiefer Sherwood, Liam O'BrienNick Lappin, Kiefer SherwoodLiam O'Brien
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jan Rutta, Kevin Gravel, Andrej SustrErik BrannstromKevin Gravel, Andrej Sustr
Tirs de Pénalité
, Trevor Moore, Marcus Sorensen, Paul Thompson, Mitch Callahan
Gardien
#1 : , #2 : Marek Mazanec


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
1Lake Erie Monsters74300000352873120000013103431000002218480.57135599400214334424127035327720251707316823834.78%24866.67%025954947.18%24548850.20%21942551.53%517288506216435224
2Philadelphia Phantoms514000001524-92110000068-230300000916-720.2001527420021433442052703532772018961271194250.00%12466.67%025954947.18%24548850.20%21942551.53%517288506216435224
3Quebec Rempart6420000027198321000001711632100000108280.66727457200214334422927035327720187744816018738.89%15380.00%125954947.18%24548850.20%21942551.53%517288506216435224
4Rochester Americans642000002527-2321000001215-3321000001312180.66725446900214334424527035327720267904112117423.53%8362.50%025954947.18%24548850.20%21942551.53%517288506216435224
Total241311000001029841165000004844413760000054540260.54210217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
_Since Last GM Reset241311000001029841165000004844413760000054540260.54210217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
_Vs Conference1912700000877413954000004236610730000045387240.6328714823500214334471527035327720705234162449581932.76%471470.21%125954947.18%24548850.20%21942551.53%517288506216435224
_Vs Division543000001524-92120000068-233100000916-780.8001527420021433442052703532772018961271194250.00%12466.67%025954947.18%24548850.20%21942551.53%517288506216435224

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2426L110217527792089429518956800
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
241311000010298
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
116500004844
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
137600005454
Derniers 10 Matchs
WLOTWOTL SOWSOL
351100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
622133.87%591869.49%1
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
270353277202143344
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
25954947.18%24548850.20%21942551.53%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
517288506216435224


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 - 2019-10-047Calgary Hitman4Quebec Rempart2WSommaire du Match
2 - 2019-10-0515Calgary Hitman2Quebec Rempart4LSommaire du Match
3 - 2019-10-0623Quebec Rempart5Calgary Hitman4LXSommaire du Match
4 - 2019-10-0731Quebec Rempart4Calgary Hitman7WSommaire du Match
5 - 2019-10-0839Calgary Hitman4Quebec Rempart2WSommaire du Match
6 - 2019-10-0947Quebec Rempart2Calgary Hitman6WSommaire du Match
8 - 2019-10-1160Calgary Hitman3Rochester Americans4LSommaire du Match
9 - 2019-10-1264Calgary Hitman5Rochester Americans4WXSommaire du Match
10 - 2019-10-1368Rochester Americans3Calgary Hitman4WXSommaire du Match
11 - 2019-10-1472Rochester Americans8Calgary Hitman3LSommaire du Match
12 - 2019-10-1576Calgary Hitman5Rochester Americans4WXSommaire du Match
13 - 2019-10-1680Rochester Americans4Calgary Hitman5WSommaire du Match
15 - 2019-10-1886Calgary Hitman4Lake Erie Monsters6LSommaire du Match
16 - 2019-10-1988Calgary Hitman7Lake Erie Monsters5WSommaire du Match
17 - 2019-10-2090Lake Erie Monsters5Calgary Hitman4LXSommaire du Match
18 - 2019-10-2192Lake Erie Monsters4Calgary Hitman2LSommaire du Match
19 - 2019-10-2294Calgary Hitman5Lake Erie Monsters3WSommaire du Match
20 - 2019-10-2396Lake Erie Monsters1Calgary Hitman7WSommaire du Match
21 - 2019-10-2498Calgary Hitman6Lake Erie Monsters4WSommaire du Match
22 - 2019-10-2599Calgary Hitman4Philadelphia Phantoms6LSommaire du Match
23 - 2019-10-26100Calgary Hitman3Philadelphia Phantoms5LSommaire du Match
24 - 2019-10-27101Philadelphia Phantoms5Calgary Hitman2LSommaire du Match
25 - 2019-10-28102Philadelphia Phantoms3Calgary Hitman4WXSommaire du Match
26 - 2019-10-29103Calgary Hitman2Philadelphia Phantoms5LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance21,49510,670
Assistance PCT97.70%97.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 2924 - 97.47% 123,585$1,359,439$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,306,551$ 2,296,551$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




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
Saison Régulière
2016825025031304043089641241301120200157434126120201020415153100404662106611911501576324095111811095272864949173918452307432.17%1394567.63%51033191753.89%936174653.61%810146255.40%1796102015977381545787
20178252180144340225614641259012221961316541279002212061258110440265010523090147160103208100511161078292805970104818242308034.78%1523974.34%4982181953.99%892178150.08%687135950.55%1789100816167501562789
201882511803451398287111412890112020713275412390233119115536102398657105511881601421231909551134108833286094699219262497429.72%2206371.36%10995182054.67%963181553.06%785143654.67%1806102016187571536771
20198236330228140439212412013010701851778411620012112192154724046691073001061581301529949251064997303125983105818922216629.86%2247168.30%3730163144.76%752171043.98%672153743.72%173194916977621541775
Total Saison Régulière3281899409112051608124336516497440441327885971911649250057738206461743781608263842465237561558943126323836449542581191165438484837748793029431.61%73521870.34%223740718752.04%3543705250.24%2954579450.98%712439996529300861863124
20192413110000010298411650000048444137600000545402610217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224
Total Séries2413110000010298411650000048444137600000545402610217527700214334492027035327720894295189568622133.87%591869.49%125954947.18%24548850.20%21942551.53%517288506216435224