Canadiens
GP: 82 | W: 39 | L: 35 | OTL: 8 | P: 86
GF: 297 | GA: 325 | PP%: 23.51% | PK%: 79.01%
DG: Martin Levesque | Morale : 58 | Moyenne d'Équipe : 70
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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
1Kyle Connor (R)X100.0052398381749195867292947682677281667902432,000,000$
2Anthony Cirelli (R)X100.007946827274818978848079997165636459760231925,000$
3Brett Ritchie (R)X100.009250706679768980488389795773626574750271800,000$
4Andrew Copp (R)X100.007241906879828473808173876671705970730262900,000$
5Zach Sanford (R)X100.007946826688738174537472776671696469700263700,000$
6Zach Aston-Reese (R)X100.009146786675777972597067886571664269700261925,000$
7Martin Necas (R)X100.0063398871788077767074706972626685646902211,462,500$
8Frederik Gauthier (R)X100.007946846397798469806762726269657966680262575,000$
9Connor Brickley (R)X100.007741816674777274527467645372606267670292575,000$
10Dylan Gambrell (R)X100.005943876571797770756863716367656652650242925,000$
11Otto Koivula (R)X100.006847886190787269656663716163625972650223786,666$
12Vladislav Kamenev (R)X100.006139886379746871736862646567647219640241575,000$
13Brandon Carlo (R)X100.0084497763928785693077619752676374717602432,000,000$
14Steven KampferX98.0074418566727969873075698655868848527403221,000,000$
15Travis Sanheim (R)X100.0059428470808589753082727956676481687202511,294,170$
16Alex BiegaX100.008135766772756897308275785566624049720331700,000$
17Christian Folin (R)X100.0088417665797982753068718057726333577103011,000,000$
18Quinn Hughes (R)X100.005338867864888583309372655661638748710212916,666$
Rayé
1Greg McKegg (R)X90.317343876473728070776765726375685657660281575,000$
2Jake Evans (R)X100.005943886374827969736762726467635820650243750,000$
3Mackenzie MacEachern (R)X100.008243786178807169546166646271686420640272650,000$
4Christopher DiDomenico (R)X100.006250657069609967516461645173593218630322575,000$
5Carsen Twarynski (R)X100.006645896080757266536361685965625920630233775,833$
6Luke Witkowski (R)X100.007656736584757369566662706578755120680313575,000$
7Dennis Cholowski (R)X100.006343886580847870307263685263628220660232894,166$
8Roland McKeown (R)X100.006043715674539764306358675058527019610251894,167$
MOYENNE D'ÉQUIPE99.54714482667878817454736875616965634969
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
1Tristan Jarry (R)97.00887876828993959593888469737175850
2Edward Pasquale (R)98.00827184868382848382817354694464780
Rayé
MOYENNE D'ÉQUIPE97.5085758084868890898885796271587082
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Doug Jarvis66837565997872CAN652500,000$


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
1Kyle ConnorCanadiens (MON)LW78516111213175731563227817215.84%27156920.1215173247213202112497048.92%5097425161.43050011052
2Brett RitchieCanadiens (MON)RW814244861680202021032027111520.79%32144117.80101828362284048874243.85%1304524011.1925211554
3Anthony CirelliCanadiens (MON)C812555801031151382201786310114.04%52160619.837172425230011112524053.06%15382935021.0026111234
4Andrew CoppCanadiens (MON)C82304272-171001181752358111612.77%39143417.4991221231891238945151.59%12584324001.0001000354
5Zach SanfordCanadiens (MON)LW82273562-233351711102436111311.11%38136016.6061218331950001363446.15%783826000.9100100622
6Quinn HughesCanadiens (MON)D77163652-1718041128149624810.74%80148619.3034725184011168120.00%06132100.7000000034
7Martin NecasCanadiens (MON)RW82212647-191209391240861518.75%25121414.81022017000004144.71%855817010.7701000342
8Steven KampferCanadiens (MON)D7744246-623510313912062703.33%109177323.0421517102430226221100.00%04054000.5201001002
9Zach Aston-ReeseCanadiens (MON)RW81171936-237410181121151367911.26%25130216.08731018185000060052.86%701827000.5501002211
10Alex BiegaCanadiens (MON)D8143034-2658013713916868872.38%78156019.260225730221144100.00%05244000.4400000000
11Brandon CarloCanadiens (MON)D81424284117351761438030425.00%113179522.16268101810001210010.00%0869000.3100115012
12Travis SanheimCanadiens (MON)D8222426-31280701379142372.20%98163619.9613491410333122000.00%03245000.3200000001
13Connor BrickleyCanadiens (MON)RW82131124-712010259128268610.16%97449.08101190112631230.91%552512000.6400000112
14Frederik GauthierCanadiens (MON)C82111021-2120014614194315311.70%45121614.83000070000224151.71%11431225000.3500000222
15Christian FolinCanadiens (MON)D7861521-25001351106432349.38%62134017.19011125000040010.00%02437000.3112000012
16Greg McKeggCanadiens (MON)LW6981220-16120101629433618.51%2399514.43011016000061054.10%611116000.4000000041
17Dylan GambrellCanadiens (MON)C7641115-640295939104210.26%125847.6800000000011040.76%21147000.5100000000
18Otto KoivulaCanadiens (MON)LW82549-1240495643102611.63%237298.9000000000000152.63%1945000.2500000010
19Zach RedmondCanadiensD43587007910101530.00%79223.06000011000015000.00%063001.7300000011
20Vladislav KamenevCanadiens (MON)LW17112-320141314547.14%31458.58000000000100066.67%601000.2700000000
21Jake EvansCanadiens (MON)C7112-1001350220.00%1426.1100000000000050.00%2001000.9300000000
22Luke WitkowskiCanadiens (MON)D11011-114017183330.00%1319517.7700003000010000.00%026000.1000000000
23Roland McKeownCanadiens (MON)D1000000000000.00%011.500000000000000.00%000000.0000000000
24Dennis CholowskiCanadiens (MON)D1000000000000.00%21313.630000000000000.00%000000.0000000000
25Christopher DiDomenicoCanadiens (MON)RW2000-100010000.00%084.180000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1477295509804-18261995210421932673900145711.04%9162429216.4563113176243216071219531665371650.80%51835865352100.665225311343936
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
1Tristan JarryCanadiens (MON)56281830.8853.652913231771545669400.583124933312
2Edward PasqualeCanadiens (MON)40111750.8684.252046401451099508100.83363349021
Stats d'équipe Total ou en Moyenne96393580.8783.9049606332226441177500.667188282333


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 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
Alex BiegaCanadiens (MON)D331988-04-04 05:11:13No199 Lbs5 ft10NoNoNo1Pro & Farm700,000$