Sound Tigers

GP: 82 | W: 57 | L: 21 | OTL: 4 | P: 118
GF: 325 | GA: 247 | PP%: 16.49% | PK%: 77.91%
DG: Claude Desmarais | Morale : 50 | Moyenne d'Équipe : 48
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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
1Joe ColborneXXX100.00704383657863805881546156564946050600
2Marko DanoXX100.00673587737360495636535860483734050570
3Zac DalpeXX100.00554374686953355649535855484944050550
4Denis Malgin (R)XXX100.00503590805252435152445860483532050540
5Blake Coleman (R)XX100.00594369706854374457414670483532050520
6Seth GriffithXX100.00553585746058374540543564423734050520
7Peter Cehlarik (R)X100.00493595697056364445523561483532050510
8Martin Frk (R)X100.00543595716649353535353564483532050480
9C.J. Smith (R)X100.00433595745753353735383551483532050470
10Dominik UherX100.00463593676941313235323261463532050450
11Robin KovacsXX100.00434343435143434343434343433230050430
12Mattias TedenbyXX100.00318139475131483235323252464438050410
13Petter GranbergX100.00624378606657373935453270484238050540
14Duncan Siemens (R)X100.00653579606951353135303272483734050530
15Ryan Sproul (R)X100.00563588657052384735504358483734050530
16Jordan Schmaltz (R)X100.00513584666251354135503263483533050520
17Julius Bergman (R)X100.00434545456042424345434345443230050440
18Veeti VainioX100.00373737376937373737373737373230050400
Rayé
1Tomas VincourXX100.00444385657145324435464058464338050490
2Tony Cameranesi (R)X100.00353737374535353537353537363230050380
3Aaron NessX100.00543590685654353835433262484036050520
4Brenden Kichton (R)X100.00353737375235353537353537363230050380
MOYENNE D'ÉQUIPE100.0050407361634940424143405646373405049
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
1Scott Wedgewood100.0050457272505151505162603532050520
2Kristers Gudlevskis (R)100.0033454985355055364565703835050490
Rayé
1Jake Kupsky100.0037373775373737373737373230050410
2Evan Smith100.0037373768373737373737373230050400
MOYENNE D'ÉQUIPE100.003941497540444540435051343205046
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ken Gernander42707643797063USA481500,000$


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
1Joe ColborneSound Tigers (Isl)C/LW/RW82586512360520141224317184718.30%22176221.50151934833742131228013267.01%240700011.40470001778
2Zac DalpeSound Tigers (Isl)C/RW8242681105733558102269154915.61%10156019.031120316537000081595247.73%17600121.4115010878
3Marko DanoSound Tigers (Isl)LW/RW7640651055353575134251214715.94%19157220.691116276734611282517345.54%10100101.34170008115
4Denis MalginSound Tigers (Isl)C/LW/RW803233651317540191277154211.55%16139817.481010208133900041014155.69%137000000.9313100445
5Seth GriffithSound Tigers (Isl)LW/RW82154964112208813615613379.62%11133216.2531316393580000113047.42%9700000.9602000216
6Blake ColemanSound Tigers (Isl)C/LW8227275419715150179180143715.00%23113413.8404410931122812155.11%97800000.9511001643
7Petter GranbergSound Tigers (Isl)D7774350161151514188858168.24%88170422.1431417453340001207100.00%000000.5900020214
8Peter CehlarikSound Tigers (Isl)LW821528431114017127143113310.49%12102712.532249590001451257.97%6900000.8400000123
9Lance BoumaIslandersLW361724412047578621080015.74%767218.684913331510001683039.62%10600001.2211010325
10Ryan SproulSound Tigers (Isl)D821130411648083518071713.75%86180322.005712473340001228220.00%000000.4500000031
11Jordan SchmaltzSound Tigers (Isl)D8253439181404869797126.33%69169020.6131013483280110220000.00%000000.4601000020
12Martin FrkSound Tigers (Isl)RW821520359335497712682311.90%17119714.615510342181123473135.79%9500000.5800001042
13Duncan SiemensSound Tigers (Isl)D829202913840144691054138.57%114170720.82347573290001209300.00%000000.3400000111
14C.J. SmithSound Tigers (Isl)LW8271623-6401686926137.61%118069.830114130111752136.47%8500000.5711000001
15Julius BergmanSound Tigers (Isl)D82412163253511521171323.53%53135816.5701131270000101100.00%000000.2400001121
16Robin KovacsSound Tigers (Isl)LW/RW828513948109227372321.62%283110.14000226000012145.28%5300000.3100101101
17Dominik UherSound Tigers (Isl)C825611-1314028102666157.58%227048.5900015000040140.51%63200000.3100000002
18Veeti VainioSound Tigers (Isl)D8246104668091782150.00%26132716.191121890000123100.00%000000.1500000001
19Mattias TedenbySound Tigers (Isl)LW/RW45011-143610311221150.00%43517.8100002000020038.46%2600000.0600110000
20Tomas VincourSound Tigers (Isl)LW/RW2011100014110.00%03216.0200009000000050.00%200000.6200000000
21Tony CameranesiSound Tigers (Isl)C6000-440040000.00%0457.6600007000050032.26%3100000.0000000000
Stats d'équipe Total ou en Moyenne14703215538743678307014851769242116041413.26%6122402216.347613621262939225611432230531756.82%622800230.731028354545157
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
1Scott WedgewoodSound Tigers (Isl)68471630.8872.8839332118916690400.66730686123
2Kristers GudlevskisSound Tigers (Isl)169300.8882.7274900343040200.00001065100
3Jake KupskySound Tigers (Isl)51210.8384.6527100211300000.000046000
Stats d'équipe Total ou en Moyenne89572140.8842.9649552124421030600.667308277223


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
Aaron NessSound Tigers (Isl)D261990-05-18No184 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm650,000$