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Day : 1 |
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![]() | San Antonio Rampage |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Mikaël Brassard | Morale : 50 | Moyenne d’équipe : N/A |
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Priority | Type | Description |
---|---|---|
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 |
10 | text | Any 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 | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Gruden (R) | X | 100.00 | 73 | 35 | 79 | 77 | 75 | 83 | 82 | 77 | 63 | 72 | 71 | 66 | 68 | 73 | 73 | 5 | 50 | 0 | 0 | 24 | 1 | 825,000$ | ||||
2 | Lucas Elvenes (R) | X | X | 100.00 | 58 | 30 | 82 | 80 | 73 | 82 | 79 | 79 | 65 | 73 | 72 | 68 | 75 | 77 | 79 | 6 | 50 | 0 | 0 | 25 | 1 | 850,000$ | |||
3 | David Savard | X | 100.00 | 81 | 38 | 78 | 75 | 77 | 76 | 73 | 78 | 50 | 75 | 63 | 88 | 65 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 1 | 1,300,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Matej Pekar (R) | X | X | 100.00 | 84 | 40 | 80 | 80 | 79 | 84 | 84 | 79 | 73 | 73 | 72 | 67 | 71 | 70 | 71 | 6 | 50 | 0 | 0 | 24 | 1 | 850,000$ | |||
2 | MacKenzie MacEachern | X | X | 100.00 | 85 | 43 | 85 | 80 | 84 | 81 | 79 | 80 | 64 | 73 | 74 | 69 | 73 | 86 | 83 | 1 | 50 | 0 | 0 | 30 | 0 | 0$ | |||
3 | Tyler Bozak | X | X | 100.00 | 63 | 35 | 99 | 71 | 69 | 82 | 83 | 75 | 87 | 71 | 70 | 72 | 74 | 99 | 99 | 1 | 50 | 0 | 0 | 38 | 0 | 0$ | |||
4 | Casey Cizikas | X | 100.00 | 74 | 35 | 90 | 76 | 77 | 77 | 74 | 77 | 81 | 72 | 72 | 73 | 74 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | ||||
5 | Michael Brandsegg-Nygard (R) | X | 100.00 | 73 | 25 | 78 | 76 | 80 | 78 | 78 | 75 | 68 | 71 | 70 | 64 | 73 | 64 | 60 | 7 | 50 | 0 | 0 | 19 | 3 | 950,000$ | ||||
6 | Seth Griffith | X | X | 100.00 | 68 | 25 | 94 | 85 | 72 | 79 | 77 | 77 | 75 | 72 | 71 | 64 | 75 | 86 | 85 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | |||
7 | Matthew Highmore | X | X | X | 100.00 | 68 | 30 | 95 | 88 | 75 | 88 | 88 | 81 | 73 | 75 | 74 | 70 | 76 | 81 | 90 | 6 | 50 | 0 | N | 0 | 28 | 3 | 1,800,000$ | |
8 | Aapeli Rasanen (R) | X | 100.00 | 80 | 45 | 78 | 73 | 83 | 74 | 67 | 73 | 72 | 65 | 65 | 66 | 66 | 64 | 64 | 3 | 50 | 0 | X | 0 | 26 | 1 | 750,000$ | |||
9 | Linus Lindstrom (R) | X | 100.00 | 65 | 25 | 92 | 81 | 77 | 86 | 89 | 78 | 77 | 73 | 73 | 71 | 71 | 74 | 73 | 5 | 50 | 0 | 0 | 26 | 1 | 950,000$ | ||||
10 | Tanner Kaspick (R) | X | 100.00 | 83 | 43 | 81 | 74 | 84 | 76 | 68 | 75 | 72 | 69 | 68 | 68 | 69 | 68 | 68 | 3 | 50 | 0 | 0 | 26 | 1 | 750,000$ | ||||
11 | Joel Hanley | X | 100.00 | 74 | 35 | 90 | 76 | 73 | 81 | 75 | 77 | 50 | 71 | 62 | 85 | 55 | 85 | 85 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | ||||
12 | John Moore | X | 100.00 | 75 | 37 | 91 | 71 | 83 | 77 | 72 | 75 | 50 | 72 | 64 | 88 | 59 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 0 | 0$ | ||||
13 | Keaton Ellerby | X | 100.00 | 88 | 44 | 80 | 66 | 86 | 72 | 70 | 73 | 50 | 70 | 63 | 89 | 61 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 0 | 0$ | ||||
14 | Michal Kempný | X | 100.00 | 78 | 35 | 77 | 75 | 76 | 81 | 69 | 76 | 60 | 73 | 60 | 87 | 77 | 85 | 74 | 1 | 50 | 0 | 0 | 34 | 0 | 0$ | ||||
15 | Taylor Doherty | X | 100.00 | 94 | 44 | 74 | 70 | 92 | 77 | 71 | 73 | 50 | 72 | 65 | 93 | 55 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | ||||
16 | Stuart Percy | X | 100.00 | 74 | 35 | 83 | 83 | 75 | 75 | 67 | 77 | 50 | 73 | 65 | 85 | 70 | 78 | 82 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 76 | 36 | 85 | 77 | 78 | 79 | 76 | 77 | 65 | 72 | 68 | 75 | 69 | 83 | 83 | 3 | 50 | 0 |
Priority | Type | Description |
---|---|---|
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 |
10 | text | Any 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 | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rayé | |||||||||||||||||||||||
1 | Magnus Hellberg | 100.00 | 84 | 78 | 83 | 93 | 88 | 88 | 89 | 87 | 86 | 87 | 84 | 78 | 81 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | |
2 | Jakob Robillard (R) | 100.00 | 80 | 77 | 80 | 83 | 79 | 76 | 76 | 77 | 76 | 77 | 79 | 60 | 60 | 4 | 50 | 0 | 0 | 22 | 1 | 750,000$ | |
3 | Michael McNiven | 100.00 | 85 | 84 | 84 | 85 | 87 | 86 | 84 | 86 | 85 | 85 | 81 | 65 | 65 | 6 | 50 | 0 | 0 | 27 | 1 | 1,000,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 83 | 80 | 82 | 87 | 85 | 83 | 83 | 83 | 82 | 83 | 81 | 68 | 69 | 4 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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Priority | Type | Description |
---|---|---|
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 |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | 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 |
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Priority | Type | Description |
---|---|---|
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 |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|
Nom du joueur | POS | Âge | Date de naissance | Termes | Contrat | Cap % | Année 2024 | Année 2025 | Année 2026 | Année 2027 | Année 2028 | Année 2029 | Année 2030 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Attaquant | |||||||||||||
Aapeli Rasanen | C | 26 | 1998-01-22 09:40:39 | TW | 1 | 0.00% | 750,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Casey Cizikas | C | 33 | 1991-01-22 03:20:47 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
Jonathan Gruden | LW | 24 | 2000-01-02 12:05:06 | TW | 1 | 0.00% | 825,000$ | RFA ( Groupe: 2 ) [Age: 25] | |||||
Linus Lindstrom | C | 26 | 1998-01-22 10:01:25 | TW | 1 | 0.00% | 950,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Lucas Elvenes | LW/RW | 25 | 1999-01-02 12:16:50 | TW | 1 | 0.00% | 850,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
MacKenzie MacEachern | LW/RW | 30 | 1994-01-02 23:37:23 | TW | 0 | 0.00% | UFA [Age: 30] | ||||||
Matej Pekar | C/LW | 24 | 2000-01-02 07:16:14 | TW | 1 | 0.00% | 850,000$ | RFA ( Groupe: 2 ) [Age: 25] | |||||
Matthew Highmore | C/LW/RW | 28 | 1996-01-22 08:54:02 | NT TW | 3 | 0.00% | 1,800,000$ | 1,800,000$ | 1,800,000$ | UFA [Age: 31] | |||
Michael Brandsegg-Nygard | RW | 19 | 2005-01-02 11:28:03 | TW | 3 | 0.00% | 950,000$ | 950,000$ | 950,000$ | RFA ( Groupe: 1 )[Age: 22] | |||
Seth Griffith | C/RW | 31 | 1993-01-22 05:38:31 | TW | 0 | 0.00% | UFA [Age: 31] | ||||||
Tanner Kaspick | C | 26 | 1998-01-22 10:36:12 | TW | 1 | 0.00% | 750,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Tyler Bozak | C/RW | 38 | 1986-01-22 12:29:38 | TW | 0 | 0.00% | UFA [Age: 38] | ||||||
MOYENNE (12) | 27.50 | 0.00% | 0$ | 2,750,000$ | 2,750,000$ | 0$ | 0$ | 0$ | 0$ | ||||
Défenseur | |||||||||||||
David Savard | D | 34 | 1990-01-22 15:14:01 | TW | 1 | 0.00% | 1,300,000$ | UFA [Age: 35] | |||||
Joel Hanley | D | 33 | 1991-01-02 23:57:16 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
John Moore | D | 34 | 1990-01-22 12:29:38 | TW | 0 | 0.00% | UFA [Age: 34] | ||||||
Keaton Ellerby | D | 36 | 1988-01-22 00:29:38 | TW | 0 | 0.00% | UFA [Age: 36] | ||||||
Michal Kempný | D | 34 | 1990-01-02 01:46:02 | TW | 0 | 0.00% | UFA [Age: 34] | ||||||
Stuart Percy | D | 31 | 1993-01-22 02:33:32 | TW | 0 | 0.00% | UFA [Age: 31] | ||||||
Taylor Doherty | D | 33 | 1991-01-22 06:48:33 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
MOYENNE (7) | 33.57 | 0.00% | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Gardiens | |||||||||||||
Jakob Robillard | G | 22 | 2002-01-02 04:36:10 | TW | 1 | 0.00% | 750,000$ | RFA ( Groupe: 1 )[Age: 23] | |||||
Magnus Hellberg | G | 33 | 1991-01-02 11:33:59 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
Michael McNiven | G | 27 | 1997-01-22 01:51:51 | TW | 1 | 0.00% | 1,000,000$ | UFA [Age: 28] |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 35 | 0 | 1 | 4 | |||
2 | 32 | 0 | 2 | 3 | |||
3 | 19 | 0 | 2 | 3 | |||
4 | Jonathan Gruden | Lucas Elvenes | 14 | 1 | 3 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 0 | 3 | 2 | |||
2 | 37 | 0 | 3 | 2 | |||
3 | 25 | 0 | 3 | 2 | |||
4 | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Lucas Elvenes | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Lucas Elvenes | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
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, , , , Lucas Elvenes, , , , , , |
Lignes de défense personnalisées en prolongation |
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, , , , |
Priority | Type | Description |
---|---|---|
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 |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
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 |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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