Comets

GP: 82 | W: 40 | L: 35 | OTL: 7 | P: 87
GF: 294 | GA: 318 | PP%: 18.56% | PK%: 78.05%
DG: Samuel Gendron-Mallet | Morale : 50 | Moyenne d'Équipe : 45
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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
1Iiro PakarinenXX100.0068359169725743533548586448383505056X0
2Kevin Labanc (R)XX100.00493585805755465667545860563532050560
3Laurent Dauphin (R)XX100.00573583695656374745415276483734050540
4Zach Sanford (R) (A)XXX100.00513588727152415045455456453532050530
5Christoph Bertschy (R)XXX100.00513579725751354335513560483734050500
6Jason Dickinson (R) (C)XX100.00533595687158354135354663483734050500
7Stefan MatteauX100.00694381647652374235394456474136050500
8Chris Calnan (R)X100.00414343436140404143414143423230050430
9Maxim Letunov (R)X100.00434545454442424345434345443230050430
10Artur Gavrus (R)XX100.00353737375135353537353537363230050380
11Cole Ully (R)XX100.00353737374635353537353537363230050380
12Daniel Zaar (R)X100.00353737374835353537353537363230050380
13Viktor LoovX100.00513594626944333235323171473532050510
14Kyle CapobiancoX100.00434343436143434343434343433230050440
15Jack Glover (R)X100.00414343436240404143414143423230050430
16Ben Thomas (R)X100.00384040406137373840383840393230050410
17Dmitry Sinitsyn (R)X100.00353737376635353537353537363230050390
18Daniel Walcott (R)X100.00353737374535353537353537363230050380
Rayé
1Spencer AbbottXX100.00443595754949353535353559483734050470
2Brendan WoodsX100.00534367647448333335333363473532050460
3Sebastian Wannstrom (R)XXX100.00434545455642424345434345443230050440
4Ben Johnson (R)XX100.00414343435940404143414143423230050430
5Ben HanowskiXX100.00318436487331463235323246463734050410
6Gustav Possler (R)XX100.00353737375735353537353537363230050380
7Keith AulieX100.00646154587653363535343567434741050530
8Dillon Fournier (R)X100.00434545455242424345434345443230050440
9Dylan Labbe (R)X100.00384040405637373840383840393230050410
10Stephen Silas (R)X100.00384040405737373840383840393230050410
MOYENNE D'ÉQUIPE100.0045415752604338404039405043343205045
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
1Zachary Fucale (R)100.0044454466444343434343423230050450
2Igor Shesterkin (R)100.0039403968393838383838373230050410
Rayé
1Matej Tomek100.0043434366434343434343433230050440
2Kaapo Kahkonen (R)100.0039403978393838383838373230050420
3Brendan Burke (R)100.0036373664363535353535353230050390
MOYENNE D'ÉQUIPE100.004041406840393939393939323005042
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Roy Sommer51807947987972USA601500,000$


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
1Iiro PakarinenComets (Van)LW/RW82456511018435112162321205214.02%41173521.161020305126811282927138.55%58100011.2704000677
2Laurent DauphinComets (Van)C/LW814653991136089203299205215.38%61153518.951018287226620271985349.01%162400021.2913000855
3Zach SanfordComets (Van)C/LW/RW82404181208046127296196313.51%18149218.201412268128202251972251.48%74400001.0902000484
4Christoph BertschyComets (Van)C/LW/RW82234972426095123167134213.77%33136216.616162238273000094132.94%8500001.0612000233
5Jason DickinsonComets (Van)C/LW82224365310058120220193810.00%35139216.9841216532650000294043.65%19700100.9302000315
6Stefan MatteauComets (Van)LW82262955-21675113132238173010.92%58119814.6223513690004792053.49%8600000.9212001232
7Kevin LabancComets (Van)LW/RW3624234715402183160255815.00%2077521.5586143511701171366157.58%19800001.2112000534
8Viktor LoovComets (Van)D6593544-132057497661511.84%108138521.31268311931011182120.00%000000.6400000024
9Maxim LetunovComets (Van)C82122436-197440781291254239.60%28121814.8600042300021341042.30%103300010.5901107300
10Ben ThomasComets (Van)D82213151161511920172411.76%69156719.1201162250000212000.00%000000.1900010101
11Daniel ZaarComets (Van)RW816713-1629543295131511.76%985210.53000119000041033.33%3900000.3000001011
12Dmitry SinitsynComets (Van)D824913-12841010213262515.38%53138016.8321381220000116100.00%000000.1900011001
13Keith AulieComets (Van)D175712564204617181227.78%2936821.69224752000046100.00%000000.6501310120
14Jack GloverComets (Van)D8239129741011128295110.34%63162019.7612392320001233110.00%000000.1500002000
15Cole UllyComets (Van)LW/RW81549-2114046234451211.36%67659.46000121000010055.88%3400000.2400000000
16Kyle CapobiancoComets (Van)D631893137351271212038.33%44129420.5512341860000156000.00%000000.1400133002
17Artur GavrusComets (Van)C/LW80257-20220426444594.55%86548.180001140000190037.50%56000000.2100000001
18Daniel WalcottComets (Van)D81167-188601121518325.56%65135416.72101589000114310100.00%100000.1000000000
19Chris CalnanComets (Van)RW19044-860108135120.00%321811.48011110000050053.33%1500000.3700000000
20Gustav PosslerComets (Van)LW/RW2011-100612000.00%0157.71000000000000100.00%100001.3000000000
Stats d'équipe Total ou en Moyenne1344276435711-3887713514331358217617443812.68%7512218816.51631021654212734448362199371145.52%519800140.644195615353540
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
1Ondrej PavelecVancouver5443910.9082.0332154410911840610.8005541204
2Zachary FucaleComets (Van)47212220.8734.08251610217113500611.0003470111
3Ben ScrivensVancouver1710410.8933.4293021534950000.5717170101
4Kaapo KahkonenComets (Van)269630.8833.62124200756400000.77891747001
5Igor ShesterkinComets (Van)60210.8953.031980010950100.3333034000
Stats d'équipe Total ou en Moyenne150834380.8893.108102167418376401320.7042713582417


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 Salaire RestantCap 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
Artur GavrusComets (Van)C/LW221994-01-03Yes175 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm525,000$