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Lake Erie Lake Erie 28-10-1, 57pts · 2nd in Conference Ouest |
Lake Erie | |
GP: 39 | W: 28 | L: 10 | OTL: 1 | P: 57 GF: 89 | GA: 59 | PP%: 35.09% | PK%: 82.32% DG: Andrew Beer | Morale : 79 | Moyenne d’équipe : N/A Prochains matchs #631 vs Chicago Wolf |
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Priority | Type | Description |
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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 |
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1 | Joseph Veleno | X | 100.00 | 79 | 54 | 90 | 82 | 71 | 66 | 98 | 70 | 76 | 65 | 68 | 72 | 25 | 64 | 64 | 72 | 84 | 0 | 0 | 23 | 1 | 825,000$ | ||||
2 | Mark Kastelic | X | X | 100.00 | 85 | 99 | 72 | 72 | 86 | 48 | 85 | 64 | 76 | 58 | 58 | 66 | 25 | 59 | 59 | 64 | 68 | 0 | 0 | 24 | 2 | 835,000$ | |||
3 | Filip Zadina | X | X | 100.00 | 71 | 42 | 91 | 80 | 68 | 65 | 69 | 73 | 35 | 62 | 71 | 70 | 25 | 65 | 65 | 70 | 85 | 0 | 0 | 23 | 2 | 1,825,000$ | |||
4 | Raphael Lavoie (R) | X | X | 100.00 | 74 | 75 | 73 | 68 | 75 | 78 | 82 | 64 | 80 | 57 | 68 | 64 | 65 | 44 | 44 | 67 | 86 | 0 | 0 | 23 | 1 | 874,125$ | |||
5 | Oskar Olausson (R) | X | 100.00 | 72 | 68 | 82 | 66 | 68 | 67 | 69 | 59 | 50 | 51 | 63 | 62 | 60 | 44 | 44 | 62 | 84 | 0 | 0 | 20 | 2 | 894,167$ | ||||
6 | Nikita Chibrikov (R) | X | X | 100.00 | 67 | 62 | 78 | 61 | 62 | 70 | 72 | 62 | 50 | 60 | 61 | 60 | 58 | 44 | 44 | 62 | 83 | 0 | 0 | 20 | 1 | 545,000$ | |||
7 | Rem Pitlick | X | 100.00 | 75 | 70 | 86 | 75 | 70 | 79 | 82 | 68 | 50 | 65 | 65 | 69 | 62 | 59 | 59 | 69 | 84 | 0 | 0 | 26 | 2 | 1,100,000$ | ||||
8 | Calle Rosen | X | 100.00 | 76 | 69 | 92 | 70 | 69 | 73 | 78 | 55 | 25 | 51 | 40 | 67 | 38 | 61 | 62 | 57 | 87 | 0 | 0 | 29 | 1 | 762,500$ | ||||
9 | Ilya Solovyov (R) | X | 100.00 | 78 | 77 | 80 | 66 | 77 | 73 | 80 | 48 | 25 | 38 | 42 | 62 | 40 | 44 | 44 | 54 | 82 | 0 | 0 | 23 | 1 | 828,333$ | ||||
10 | Colin Miller | X | 100.00 | 85 | 45 | 83 | 79 | 71 | 67 | 80 | 63 | 25 | 49 | 50 | 71 | 25 | 72 | 73 | 63 | 84 | 0 | 0 | 30 | 1 | 1,850,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 76 | 66 | 83 | 72 | 72 | 69 | 80 | 63 | 49 | 56 | 59 | 66 | 42 | 56 | 56 | 64 | 83 | 0 |
Priority | Type | Description |
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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 |
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Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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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1 | Joseph Veleno | Lake Erie (COL) | C | 39 | 12 | 26 | 38 | -1 | 28 | 20 | 14 | 26 | 106 | 30 | 64 | 11.32% | 15 | 764 | 19.60 | 9 | 18 | 27 | 28 | 110 | 1 | 0 | 1 | 6 | 117 | 4 | 0 | 61.10% | 838 | 25 | 37 | 0 | 0 | 0.99 | 0 | 1 | 1 | 2 | 1 | 5 | 11 | 3 |
2 | Rem Pitlick | Lake Erie (COL) | RW | 39 | 14 | 19 | 33 | -2 | 58 | 30 | 16 | 12 | 76 | 26 | 58 | 18.42% | 7 | 778 | 19.95 | 12 | 14 | 26 | 21 | 111 | 0 | 1 | 1 | 2 | 111 | 4 | 3 | 53.33% | 45 | 31 | 34 | 0 | 0 | 0.85 | 0 | 1 | 1 | 1 | 4 | 8 | 3 | 6 |
3 | Filip Zadina | Lake Erie (COL) | LW/RW | 39 | 14 | 17 | 31 | -1 | 0 | 0 | 23 | 12 | 130 | 33 | 74 | 10.77% | 10 | 735 | 18.87 | 11 | 13 | 24 | 24 | 112 | 0 | 0 | 0 | 3 | 82 | 4 | 1 | 42.11% | 76 | 44 | 38 | 0 | 1 | 0.84 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 5 |
4 | Raphael Lavoie | Lake Erie (COL) | C/RW | 39 | 9 | 16 | 25 | -2 | 79 | 45 | 16 | 18 | 77 | 28 | 48 | 11.69% | 3 | 572 | 14.69 | 8 | 12 | 20 | 19 | 97 | 0 | 0 | 0 | 2 | 63 | 2 | 1 | 63.34% | 371 | 22 | 28 | 0 | 1 | 0.87 | 0 | 1 | 6 | 2 | 1 | 3 | 3 | 2 |
5 | Mark Kastelic | Lake Erie (COL) | C/RW | 39 | 6 | 15 | 21 | -4 | 215 | 105 | 26 | 8 | 68 | 24 | 56 | 8.82% | 5 | 560 | 14.38 | 3 | 13 | 16 | 9 | 81 | 0 | 0 | 0 | 1 | 44 | 2 | 0 | 50.00% | 32 | 16 | 29 | 0 | 0 | 0.75 | 0 | 1 | 3 | 9 | 9 | 2 | 0 | 6 |
6 | Nikita Chibrikov | Lake Erie (COL) | LW/RW | 39 | 9 | 6 | 15 | 1 | 78 | 60 | 16 | 13 | 53 | 19 | 31 | 16.98% | 7 | 637 | 16.34 | 4 | 4 | 8 | 10 | 96 | 0 | 0 | 0 | 1 | 73 | 5 | 1 | 54.35% | 46 | 12 | 19 | 0 | 0 | 0.47 | 0 | 1 | 2 | 4 | 6 | 2 | 4 | 5 |
7 | Calle Rosen | Lake Erie (COL) | D | 39 | 4 | 9 | 13 | -2 | 71 | 55 | 11 | 12 | 24 | 10 | 11 | 16.67% | 24 | 979 | 25.12 | 2 | 5 | 7 | 5 | 126 | 0 | 0 | 0 | 1 | 119 | 0 | 3 | 25.00% | 4 | 0 | 81 | 0 | 0 | 0.27 | 0 | 0 | 4 | 2 | 5 | 3 | 3 | 0 |
8 | Colin Miller | Lake Erie (COL) | D | 39 | 3 | 10 | 13 | -4 | 58 | 10 | 25 | 17 | 39 | 15 | 21 | 7.69% | 33 | 943 | 24.19 | 3 | 7 | 10 | 10 | 125 | 0 | 0 | 0 | 1 | 102 | 1 | 0 | 0.00% | 0 | 4 | 72 | 0 | 0 | 0.28 | 0 | 0 | 0 | 1 | 1 | 2 | 3 | 5 |
9 | Oskar Olausson | Lake Erie (COL) | RW | 39 | 5 | 3 | 8 | -1 | 23 | 15 | 14 | 12 | 114 | 43 | 71 | 4.39% | 19 | 798 | 20.48 | 3 | 2 | 5 | 3 | 46 | 0 | 0 | 0 | 1 | 31 | 2 | 1 | 35.82% | 67 | 32 | 22 | 1 | 0 | 0.20 | 0 | 1 | 1 | 2 | 0 | 4 | 3 | 4 |
10 | Ilya Solovyov | Lake Erie (COL) | D | 39 | 2 | 3 | 5 | 4 | 86 | 60 | 10 | 11 | 17 | 5 | 7 | 11.76% | 16 | 787 | 20.20 | 2 | 1 | 3 | 5 | 100 | 0 | 0 | 0 | 1 | 106 | 1 | 0 | 0.00% | 1 | 1 | 53 | 0 | 0 | 0.13 | 0 | 0 | 3 | 2 | 7 | 1 | 1 | 2 |
Statistiques d’équipe totales ou en moyenne | 390 | 78 | 124 | 202 | -12 | 696 | 400 | 171 | 141 | 704 | 233 | 441 | 11.08% | 139 | 7558 | 19.38 | 57 | 89 | 146 | 134 | 1007 | 1 | 1 | 2 | 19 | 851 | 25 | 10 | 58.72% | 1480 | 187 | 413 | 1 | 2 | 0.53 | 0 | 7 | 21 | 25 | 34 | 38 | 37 | 38 |
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 |
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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 | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Calle Rosen | Lake Erie (COL) | D | 29 | 1994-02-01 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 762,500$ | 369,697$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Colin Miller | Lake Erie (COL) | D | 30 | 1992-10-29 | No | 194 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,850,000$ | 896,970$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Filip Zadina | Lake Erie (COL) | LW/RW | 23 | 1999-11-27 | No | 189 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,825,000$ | 884,848$ | 0$ | 0$ | No | 1,825,000$ | Lien / Lien NHL | ||||||||
Ilya Solovyov | Lake Erie (COL) | D | 23 | 2000-07-20 | Yes | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 828,333$ | 401,616$ | 0$ | 0$ | No | Lien | |||||||||
Joseph Veleno | Lake Erie (COL) | C | 23 | 2000-01-13 | No | 191 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 825,000$ | 400,000$ | 0$ | 0$ | No | Lien | |||||||||
Mark Kastelic | Lake Erie (COL) | C/RW | 24 | 1999-03-10 | No | 222 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 835,000$ | 404,848$ | 0$ | 0$ | No | 835,000$ | Lien / Lien NHL | ||||||||
Nikita Chibrikov | Lake Erie (COL) | LW/RW | 20 | 2003-02-16 | Yes | 170 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 545,000$ | 264,242$ | 0$ | 0$ | No | Lien | |||||||||
Oskar Olausson | Lake Erie (COL) | RW | 20 | 2002-10-11 | Yes | 180 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 894,167$ | 433,536$ | 0$ | 0$ | No | 894,167$ | Lien / Lien NHL | ||||||||
Raphael Lavoie | Lake Erie (COL) | C/RW | 23 | 2000-09-25 | Yes | 196 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 874,125$ | 423,818$ | 0$ | 0$ | No | Lien | |||||||||
Rem Pitlick | Lake Erie (COL) | RW | 26 | 1997-04-02 | No | 196 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,100,000$ | 533,333$ | 0$ | 0$ | No | 1,100,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
10 | 24.10 | 193 Lbs | 6 ft1 | 1.40 | 1,033,913$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Filip Zadina | Joseph Veleno | Rem Pitlick | 40 | 1 | 2 | 2 |
2 | Nikita Chibrikov | Raphael Lavoie | Mark Kastelic | 30 | 1 | 2 | 2 |
3 | Oskar Olausson | 20 | 1 | 2 | 2 | ||
4 | Rem Pitlick | Joseph Veleno | Filip Zadina | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
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Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Calle Rosen | 40 | 1 | 2 | 2 | |
2 | Ilya Solovyov | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Colin Miller | Calle Rosen | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Filip Zadina | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Nikita Chibrikov | Raphael Lavoie | Mark Kastelic | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
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Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 | |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Filip Zadina | Raphael Lavoie | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
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Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Joseph Veleno | 60 | 1 | 2 | 2 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Rem Pitlick | 40 | 1 | 2 | 2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Joseph Veleno | Rem Pitlick | 60 | 1 | 2 | 2 |
2 | Filip Zadina | Raphael Lavoie | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Colin Miller | Calle Rosen | 60 | 1 | 2 | 2 |
2 | Ilya Solovyov | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Filip Zadina | Joseph Veleno | Rem Pitlick | Colin Miller | Calle Rosen |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Filip Zadina | Joseph Veleno | Rem Pitlick | Colin Miller | Calle Rosen |
Attaquants supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
Oskar Olausson, Mark Kastelic, Nikita Chibrikov | Oskar Olausson, Mark Kastelic | Nikita Chibrikov |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Ilya Solovyov, Colin Miller, Calle Rosen | Ilya Solovyov | Colin Miller, Calle Rosen |
Tirs de pénalité |
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Joseph Veleno, Rem Pitlick, Filip Zadina, Raphael Lavoie, Mark Kastelic |
Gardien |
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#1 : , #2 : |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 |
1 | Bridgeport | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.333 | 6 | 9 | 15 | 0 | 1 | 10 | 35 | 38 | 6 | 84 | 185 | 316 | 316 | 23 | 38 | 18 | 62 | 19 | 11 | 4 | 36.36% | 11 | 3 | 72.73% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
2 | Charlotte Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 9 | 14 | 0 | 0 | 10 | 35 | 38 | 6 | 50 | 185 | 316 | 316 | 23 | 30 | 13 | 48 | 21 | 13 | 4 | 30.77% | 9 | 2 | 77.78% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
3 | Chicago | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 10 | 35 | 38 | 6 | 30 | 185 | 316 | 316 | 23 | 15 | 4 | 112 | 10 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
4 | Chicago Wolf | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 10 | 35 | 38 | 6 | 24 | 185 | 316 | 316 | 23 | 15 | 7 | 12 | 5 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
5 | Grand Rapids | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 10 | 35 | 38 | 6 | 19 | 185 | 316 | 316 | 23 | 14 | 2 | 36 | 9 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
6 | Hamilton | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 10 | 35 | 38 | 6 | 39 | 185 | 316 | 316 | 23 | 33 | 12 | 43 | 10 | 9 | 4 | 44.44% | 14 | 3 | 78.57% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
7 | Hartford | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 10 | 35 | 38 | 6 | 16 | 185 | 316 | 316 | 23 | 20 | 6 | 35 | 7 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
8 | Hersey | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 35 | 38 | 6 | 14 | 185 | 316 | 316 | 23 | 23 | 6 | 25 | 5 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
9 | Hershey | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 10 | 35 | 38 | 6 | 9 | 185 | 316 | 316 | 23 | 8 | 4 | 35 | 3 | 3 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
10 | Houston | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 4 | 5 | 9 | 0 | 1 | 10 | 35 | 38 | 6 | 34 | 185 | 316 | 316 | 23 | 29 | 7 | 23 | 17 | 11 | 3 | 27.27% | 9 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
11 | Lowell | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 10 | 35 | 38 | 6 | 51 | 185 | 316 | 316 | 23 | 28 | 3 | 63 | 15 | 10 | 1 | 10.00% | 9 | 1 | 88.89% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
12 | Manchester | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 10 | 35 | 38 | 6 | 21 | 185 | 316 | 316 | 23 | 19 | 9 | 32 | 6 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
13 | Manitoba | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 10 | 35 | 38 | 6 | 35 | 185 | 316 | 316 | 23 | 41 | 10 | 35 | 9 | 4 | 2 | 50.00% | 10 | 1 | 90.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
14 | Peroria | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 10 | 35 | 38 | 6 | 39 | 185 | 316 | 316 | 23 | 33 | 11 | 50 | 9 | 9 | 4 | 44.44% | 10 | 2 | 80.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
15 | Providence | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 3 | 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 6 | 1.000 | 9 | 15 | 24 | 0 | 2 | 10 | 35 | 38 | 6 | 67 | 185 | 316 | 316 | 23 | 47 | 11 | 114 | 24 | 16 | 7 | 43.75% | 12 | 1 | 91.67% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
16 | Quad City | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 4 | 6 | 10 | 1 | 0 | 10 | 35 | 38 | 6 | 42 | 185 | 316 | 316 | 23 | 32 | 13 | 22 | 11 | 12 | 3 | 25.00% | 6 | 3 | 50.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
17 | Rochester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 5 | 9 | 14 | 0 | 2 | 10 | 35 | 38 | 6 | 38 | 185 | 316 | 316 | 23 | 30 | 7 | 55 | 7 | 9 | 4 | 44.44% | 5 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
18 | Rochester | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 10 | 35 | 38 | 6 | 19 | 185 | 316 | 316 | 23 | 16 | 13 | 34 | 3 | 2 | 1 | 50.00% | 7 | 1 | 85.71% | 1 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
19 | Rockford Icehogs | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 10 | 35 | 38 | 6 | 31 | 185 | 316 | 316 | 23 | 15 | 5 | 52 | 4 | 6 | 3 | 50.00% | 6 | 2 | 66.67% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
20 | Springfield | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 6 | 0.750 | 10 | 17 | 27 | 0 | 0 | 10 | 35 | 38 | 6 | 93 | 185 | 316 | 316 | 23 | 124 | 35 | 70 | 26 | 19 | 8 | 42.11% | 10 | 3 | 70.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
21 | Toronto | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 10 | 35 | 38 | 6 | 26 | 185 | 316 | 316 | 23 | 15 | 3 | 36 | 10 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
22 | Wilkes Barre | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 10 | 35 | 38 | 6 | 31 | 185 | 316 | 316 | 23 | 36 | 10 | 49 | 11 | 4 | 2 | 50.00% | 7 | 3 | 57.14% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
23 | Worchester | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 10 | 35 | 38 | 6 | 20 | 185 | 316 | 316 | 23 | 20 | 3 | 25 | 3 | 4 | 2 | 50.00% | 5 | 2 | 60.00% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
Total | 39 | 22 | 10 | 0 | 5 | 1 | 1 | 0 | 89 | 59 | 30 | 19 | 11 | 4 | 0 | 2 | 1 | 1 | 0 | 49 | 30 | 19 | 20 | 11 | 6 | 0 | 3 | 0 | 0 | 0 | 40 | 29 | 11 | 57 | 0.731 | 89 | 150 | 239 | 1 | 9 | 10 | 35 | 38 | 6 | 832 | 185 | 316 | 316 | 23 | 681 | 212 | 1068 | 244 | 171 | 60 | 35.09% | 164 | 29 | 82.32% | 1 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 | |
_Since Last GM Reset | 39 | 22 | 10 | 0 | 5 | 1 | 1 | 0 | 89 | 59 | 30 | 19 | 11 | 4 | 0 | 2 | 1 | 1 | 0 | 49 | 30 | 19 | 20 | 11 | 6 | 0 | 3 | 0 | 0 | 0 | 40 | 29 | 11 | 57 | 0.731 | 89 | 150 | 239 | 1 | 9 | 10 | 35 | 38 | 6 | 832 | 185 | 316 | 316 | 23 | 681 | 212 | 1068 | 244 | 171 | 60 | 35.09% | 164 | 29 | 82.32% | 1 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 | |
_Vs Conference | 19 | 11 | 5 | 0 | 2 | 0 | 1 | 0 | 43 | 33 | 10 | 9 | 6 | 1 | 0 | 1 | 0 | 1 | 0 | 25 | 17 | 8 | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 18 | 16 | 2 | 28 | 0.737 | 43 | 72 | 115 | 1 | 2 | 10 | 35 | 38 | 6 | 398 | 185 | 316 | 316 | 23 | 380 | 114 | 418 | 120 | 89 | 31 | 34.83% | 79 | 16 | 79.75% | 0 | 361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% | 616 | 353 | 1250 | 275 | 488 | 242 |
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 |
39 | 57 | W4 | 89 | 150 | 239 | 832 | 681 | 212 | 1068 | 244 | 1 | 9 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
39 | 22 | 10 | 5 | 1 | 1 | 0 | 89 | 59 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 11 | 4 | 2 | 1 | 1 | 0 | 49 | 30 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 11 | 6 | 3 | 0 | 0 | 0 | 40 | 29 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 3 | 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 |
---|---|---|---|---|---|---|
171 | 60 | 35.09% | 164 | 29 | 82.32% | 1 |
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 |
---|---|---|---|---|---|---|---|
185 | 316 | 316 | 23 | 10 | 35 | 38 | 6 |
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 |
361 | 655 | 55.11% | 328 | 554 | 59.21% | 297 | 512 | 58.01% |
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 |
616 | 353 | 1250 | 275 | 488 | 242 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
18 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
5,326,236$ | 10,339,125$ | 10,339,125$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 5,326,236$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 78,327$ | 5,012,928$ |
# | 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 |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|