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| Spiders | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 58 Prochains matchs #12 vs Phantoms |
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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 | Anders Bjork | X | X | 100.00 | 59 | 41 | 94 | 78 | 70 | 62 | 77 | 58 | 30 | 55 | 59 | 72 | 45 | 63 | 63 | 0 | 50 | 61 | 0 | 25 | 1 | 1,300,000$ | |||
| 2 | Jake Leschyshyn | X | 100.00 | 76 | 43 | 93 | 72 | 69 | 59 | 83 | 53 | 68 | 60 | 57 | 74 | 25 | 47 | 47 | 0 | 50 | 60 | 0 | 22 | 2 | 778,333$ | ||||
| 3 | Leo Komarov | X | X | 100.00 | 85 | 46 | 85 | 74 | 74 | 58 | 60 | 55 | 44 | 61 | 52 | 66 | 24 | 68 | 70 | 0 | 50 | 60 | 0 | 34 | 1 | 1,300,000$ | |||
| 4 | Drew O'Connor | X | 100.00 | 65 | 42 | 93 | 70 | 76 | 57 | 68 | 69 | 45 | 59 | 66 | 65 | 25 | 46 | 46 | 0 | 50 | 60 | 0 | 23 | 1 | 600,000$ | ||||
| 5 | Martin Kaut | X | 100.00 | 72 | 67 | 83 | 80 | 67 | 63 | 64 | 62 | 50 | 53 | 66 | 63 | 63 | 45 | 45 | 0 | 50 | 60 | 0 | 22 | 1 | 894,167$ | ||||
| 6 | Alexey Toropchenko | X | 100.00 | 90 | 46 | 84 | 82 | 71 | 57 | 62 | 56 | 34 | 50 | 58 | 69 | 25 | 46 | 46 | 0 | 50 | 59 | 0 | 22 | 2 | 775,002$ | ||||
| 7 | Bryce Kindopp | X | 100.00 | 74 | 69 | 84 | 64 | 69 | 74 | 79 | 57 | 50 | 53 | 57 | 62 | 54 | 44 | 44 | 0 | 50 | 58 | 0 | 22 | 2 | 750,000$ | ||||
| 8 | Josh Currie | X | X | 100.00 | 62 | 62 | 72 | 64 | 62 | 59 | 59 | 63 | 79 | 58 | 62 | 60 | 62 | 46 | 46 | 0 | 50 | 57 | 0 | 28 | 2 | 725,000$ | |||
| 9 | Rhett Gardner | X | X | 100.00 | 79 | 83 | 71 | 68 | 83 | 70 | 76 | 50 | 63 | 47 | 48 | 64 | 46 | 47 | 47 | 0 | 50 | 57 | 0 | 25 | 1 | 700,000$ | |||
| 10 | Chase Pearson | X | 100.00 | 79 | 75 | 88 | 67 | 75 | 63 | 66 | 54 | 68 | 50 | 53 | 64 | 50 | 44 | 44 | 0 | 50 | 57 | 0 | 24 | 1 | 600,000$ | ||||
| 11 | Peter Abbandonato | X | 100.00 | 77 | 69 | 96 | 65 | 69 | 55 | 55 | 56 | 70 | 60 | 48 | 64 | 46 | 44 | 44 | 0 | 50 | 56 | 0 | 23 | 3 | 560,000$ | ||||
| 12 | Calle Rosen | X | 100.00 | 61 | 41 | 92 | 70 | 69 | 65 | 69 | 63 | 25 | 62 | 51 | 69 | 25 | 57 | 57 | 0 | 50 | 62 | 0 | 27 | 3 | 925,000$ | ||||
| 13 | Mark Friedman | X | 100.00 | 75 | 66 | 75 | 73 | 68 | 62 | 51 | 59 | 25 | 51 | 48 | 75 | 25 | 47 | 47 | 0 | 50 | 61 | 0 | 25 | 2 | 850,000$ | ||||
| 14 | Santeri Hatakka (R) | X | 100.00 | 67 | 42 | 92 | 66 | 71 | 60 | 55 | 60 | 25 | 56 | 47 | 72 | 25 | 44 | 44 | 0 | 50 | 59 | 0 | 20 | 4 | 850,833$ | ||||
| 15 | Mitch Reinke | X | 100.00 | 75 | 66 | 96 | 63 | 66 | 58 | 60 | 52 | 25 | 49 | 41 | 62 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 25 | 2 | 1,200,000$ | ||||
| 16 | Oskari Laaksonen (R) | X | 100.00 | 70 | 65 | 82 | 63 | 65 | 64 | 67 | 53 | 25 | 50 | 41 | 59 | 39 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 2 | 853,333$ | ||||
| 17 | Artemi Kniazev (R) | X | 100.00 | 69 | 67 | 74 | 67 | 67 | 58 | 59 | 54 | 25 | 48 | 45 | 59 | 43 | 44 | 44 | 0 | 50 | 56 | 0 | 20 | 4 | 789,167$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Morgan Geekie | X | X | 100.00 | 71 | 43 | 91 | 74 | 73 | 63 | 81 | 70 | 86 | 66 | 59 | 64 | 25 | 57 | 58 | 0 | 50 | 63 | 0 | 23 | 0 | 0$ | |||
| 2 | Egor Korshkov (R) | X | 100.00 | 67 | 71 | 83 | 64 | 71 | 50 | 50 | 53 | 49 | 44 | 58 | 62 | 58 | 44 | 44 | 0 | 50 | 54 | 0 | 25 | 1 | 850,000$ | ||||
| 3 | Maxim Cajkovic (R) | X | X | 100.00 | 79 | 73 | 93 | 66 | 73 | 41 | 38 | 53 | 50 | 47 | 54 | 64 | 51 | 44 | 44 | 0 | 50 | 54 | 0 | 20 | 4 | 850,833$ | |||
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 59 | 86 | 70 | 70 | 60 | 64 | 58 | 47 | 54 | 54 | 65 | 40 | 48 | 48 | 0 | 50 | 58 | ||||||||||
| 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 | Arturs Silovs (R) | 100.00 | 46 | 40 | 50 | 83 | 47 | 49 | 50 | 52 | 52 | 52 | 30 | 44 | 44 | 0 | 50 | 52 | 0 | 20 | 1 | 788,889$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 46 | 40 | 50 | 83 | 47 | 49 | 50 | 52 | 52 | 52 | 30 | 44 | 44 | 0 | 50 | 52 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| 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 |
|---|
| 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 |
|---|
| 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 moyen 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexey Toropchenko | Spiders (Har) | RW | 22 | 1999-06-25 | No | 187 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 775,002$ | 775,002$ | 77,500$ | 77,500$ | No | 775,002$ | Lien | ||||||||
| Anders Bjork | Spiders (Har) | LW/RW | 25 | 1996-08-04 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,300,000$ | 1,300,000$ | 130,000$ | 130,000$ | No | Lien | |||||||||
| Artemi Kniazev | Spiders (Har) | D | 20 | 2001-01-04 | Yes | 181 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 789,167$ | 789,167$ | 78,917$ | 78,917$ | No | 789,167$ | 789,167$ | 789,167$ | Lien | ||||||
| Arturs Silovs | Spiders (Har) | G | 20 | 2001-03-21 | Yes | 203 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 788,889$ | 788,889$ | 78,889$ | 78,889$ | No | Lien | |||||||||
| Bryce Kindopp | Spiders (Har) | RW | 22 | 1999-06-14 | No | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 75,000$ | 75,000$ | No | 750,000$ | Lien | ||||||||
| Calle Rosen | Spiders (Har) | D | 27 | 1994-02-01 | No | 186 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 92,500$ | 92,500$ | No | 925,000$ | 925,000$ | Lien | |||||||
| Chase Pearson | Spiders (Har) | C | 24 | 1997-08-22 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Drew O'Connor | Spiders (Har) | LW | 23 | 1998-06-09 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 60,000$ | 60,000$ | No | Lien | |||||||||
| Egor Korshkov | Spiders (Har) | RW | 25 | 1996-07-10 | Yes | 181 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,000$ | 850,000$ | 85,000$ | 85,000$ | No | Lien | |||||||||
| Jake Leschyshyn | Spiders (Har) | C | 22 | 1999-03-10 | No | 190 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 778,333$ | 778,333$ | 77,833$ | 77,833$ | No | 778,333$ | Lien | ||||||||
| Josh Currie | Spiders (Har) | C/RW | 28 | 1992-10-29 | No | 172 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 725,000$ | 725,000$ | 72,500$ | 72,500$ | No | 725,000$ | Lien | ||||||||
| Leo Komarov | Spiders (Har) | LW/RW | 34 | 1987-01-23 | No | 208 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,300,000$ | 1,300,000$ | 130,000$ | 130,000$ | No | Lien | |||||||||
| Mark Friedman | Spiders (Har) | D | 25 | 1995-12-25 | No | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 85,000$ | 85,000$ | No | 850,000$ | Lien | ||||||||
| Martin Kaut | Spiders (Har) | RW | 22 | 1999-10-02 | No | 176 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 894,167$ | 894,167$ | 89,417$ | 89,417$ | No | Lien | |||||||||
| Maxim Cajkovic | Spiders (Har) | LW/RW | 20 | 2001-01-03 | Yes | 201 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 850,833$ | 850,833$ | 85,083$ | 85,083$ | No | 850,833$ | 850,833$ | 850,833$ | Lien | ||||||
| Mitch Reinke | Spiders (Har) | D | 25 | 1996-02-04 | No | 181 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,200,000$ | 1,200,000$ | 120,000$ | 120,000$ | No | 1,200,000$ | Lien | ||||||||
| Morgan Geekie | Spiders (Har) | C/RW | 23 | 1998-07-20 | No | 192 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
| Oskari Laaksonen | Spiders (Har) | D | 22 | 1999-07-02 | Yes | 172 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 853,333$ | 853,333$ | 85,333$ | 85,333$ | No | 853,333$ | Lien | ||||||||
| Peter Abbandonato | Spiders (Har) | C | 23 | 1998-03-25 | No | 194 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 560,000$ | 560,000$ | 56,000$ | 56,000$ | No | 560,000$ | 560,000$ | Lien | |||||||
| Rhett Gardner | Spiders (Har) | C/LW | 25 | 1996-02-28 | No | 225 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 70,000$ | 70,000$ | No | Lien | |||||||||
| Santeri Hatakka | Spiders (Har) | D | 20 | 2001-01-15 | Yes | 192 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 850,833$ | 850,833$ | 85,083$ | 85,083$ | No | 850,833$ | 850,833$ | 850,833$ |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 23.67 | 191 Lbs | 6 ft1 | 1.90 | 806,693$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Drew O'Connor | Peter Abbandonato | 40 | 1 | 2 | 2 | |
| 2 | Josh Currie | 30 | 1 | 2 | 2 | ||
| 3 | Martin Kaut | Chase Pearson | 20 | 1 | 2 | 2 | |
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Mitch Reinke | 20 | 1 | 2 | 2 | ||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Peter Abbandonato | 60 | 1 | 2 | 2 | ||
| 2 | Josh Currie | Drew O'Connor | 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 | Peter Abbandonato | 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 | Peter Abbandonato | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Peter Abbandonato | 60 | 1 | 2 | 2 | |
| 2 | 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 |
| Peter Abbandonato | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Peter Abbandonato | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jake Leschyshyn, Chase Pearson, Drew O'Connor | Jake Leschyshyn, Chase Pearson | Drew O'Connor |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Mitch Reinke, , | Mitch Reinke | , |
| Tirs de pénalité |
|---|
| Josh Currie, Peter Abbandonato, , , |
| Gardien |
|---|
| #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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 7 - 2022-10-13 | 12 | Spiders | - | Phantoms | - | |||||
| 9 - 2022-10-15 | 28 | Cougars | - | Spiders | - | |||||
| 12 - 2022-10-18 | 48 | Admirals | - | Spiders | - | |||||
| 14 - 2022-10-20 | 66 | Spiders | - | Sound Tigers | - | |||||
| 16 - 2022-10-22 | 75 | Sharks | - | Spiders | - | |||||
| 18 - 2022-10-24 | 93 | Bears | - | Spiders | - | |||||
| 19 - 2022-10-25 | 102 | Spiders | - | Cougars | - | |||||
| 22 - 2022-10-28 | 123 | Monsters | - | Spiders | - | |||||
| 24 - 2022-10-30 | 139 | Monsters | - | Spiders | - | |||||
| 26 - 2022-11-01 | 157 | Spiders | - | Comets | - | |||||
| 28 - 2022-11-03 | 170 | Spiders | - | Oil Kings | - | |||||
| 30 - 2022-11-05 | 187 | Spiders | - | Heat | - | |||||
| 33 - 2022-11-08 | 197 | Heat | - | Spiders | - | |||||
| 35 - 2022-11-10 | 213 | Senators | - | Spiders | - | |||||
| 37 - 2022-11-12 | 227 | Jayhawks | - | Spiders | - | |||||
| 40 - 2022-11-15 | 249 | Spiders | - | Rocket | - | |||||
| 42 - 2022-11-17 | 264 | Spiders | - | Marlies | - | |||||
| 44 - 2022-11-19 | 274 | Spiders | - | Senators | - | |||||
| 46 - 2022-11-21 | 293 | Oil Kings | - | Spiders | - | |||||
| 48 - 2022-11-23 | 309 | Marlies | - | Spiders | - | |||||
| 50 - 2022-11-25 | 327 | Spiders | - | Crunch | - | |||||
| 51 - 2022-11-26 | 336 | Bears | - | Spiders | - | |||||
| 53 - 2022-11-28 | 346 | Spiders | - | Wolf Pack | - | |||||
| 56 - 2022-12-01 | 366 | Chill | - | Spiders | - | |||||
| 58 - 2022-12-03 | 382 | Spiders | - | Phantoms | - | |||||
| 61 - 2022-12-06 | 403 | Baby Hawks | - | Spiders | - | |||||
| 64 - 2022-12-09 | 425 | Sound Tigers | - | Spiders | - | |||||
| 67 - 2022-12-12 | 450 | Spiders | - | Wolf Pack | - | |||||
| 68 - 2022-12-13 | 456 | Stars | - | Spiders | - | |||||
| 70 - 2022-12-15 | 473 | Phantoms | - | Spiders | - | |||||
| 72 - 2022-12-17 | 488 | Cabaret Lady Mary Ann | - | Spiders | - | |||||
| 75 - 2022-12-20 | 512 | Spiders | - | Caroline | - | |||||
| 76 - 2022-12-21 | 518 | Spiders | - | Cabaret Lady Mary Ann | - | |||||
| 78 - 2022-12-23 | 533 | Bruins | - | Spiders | - | |||||
| 83 - 2022-12-28 | 558 | Bruins | - | Spiders | - | |||||
| 85 - 2022-12-30 | 576 | Spiders | - | Manchots | - | |||||
| 87 - 2023-01-01 | 590 | Caroline | - | Spiders | - | |||||
| 90 - 2023-01-04 | 609 | Spiders | - | Cougars | - | |||||
| 91 - 2023-01-05 | 616 | Chiefs | - | Spiders | - | |||||
| 93 - 2023-01-07 | 628 | Wolf Pack | - | Spiders | - | |||||
| 96 - 2023-01-10 | 650 | Spiders | - | Caroline | - | |||||
| 99 - 2023-01-13 | 675 | Spiders | - | Admirals | - | |||||
| 100 - 2023-01-14 | 690 | Spiders | - | Monarchs | - | |||||
| 102 - 2023-01-16 | 697 | Spiders | - | Sharks | - | |||||
| 105 - 2023-01-19 | 728 | Spiders | - | Seattle | - | |||||
| 108 - 2023-01-22 | 746 | Manchots | - | Spiders | - | |||||
| 110 - 2023-01-24 | 759 | Las Vegas | - | Spiders | - | |||||
| 112 - 2023-01-26 | 775 | Spiders | - | Chill | - | |||||
| 113 - 2023-01-27 | 785 | Spiders | - | Stars | - | |||||
| 123 - 2023-02-06 | 810 | Comets | - | Spiders | - | |||||
| 126 - 2023-02-09 | 824 | Seattle | - | Spiders | - | |||||
| 128 - 2023-02-11 | 843 | Spiders | - | Minnesota | - | |||||
| 131 - 2023-02-14 | 857 | Spiders | - | Monsters | - | |||||
| 133 - 2023-02-16 | 874 | Spiders | - | Chiefs | - | |||||
| 135 - 2023-02-18 | 886 | Spiders | - | Manchots | - | |||||
| 136 - 2023-02-19 | 900 | Oceanics | - | Spiders | - | |||||
| 138 - 2023-02-21 | 910 | Rocket | - | Spiders | - | |||||
| 140 - 2023-02-23 | 923 | Monarchs | - | Spiders | - | |||||
| 142 - 2023-02-25 | 941 | Phantoms | - | Spiders | - | |||||
| 146 - 2023-03-01 | 971 | Spiders | - | Monsters | - | |||||
| 148 - 2023-03-03 | 988 | Spiders | - | Las Vegas | - | |||||
| 150 - 2023-03-05 | 1004 | Spiders | - | Jayhawks | - | |||||
| 152 - 2023-03-07 | 1015 | Marlies | - | Spiders | - | |||||
| 154 - 2023-03-09 | 1029 | Spiders | - | Bears | - | |||||
| 156 - 2023-03-11 | 1044 | Spiders | - | Rocket | - | |||||
| 157 - 2023-03-12 | 1056 | Caroline | - | Spiders | - | |||||
| 159 - 2023-03-14 | 1065 | Thunder | - | Spiders | - | |||||
| 161 - 2023-03-16 | 1083 | Thunder | - | Spiders | - | |||||
| 163 - 2023-03-18 | 1100 | Spiders | - | Cabaret Lady Mary Ann | - | |||||
| 164 - 2023-03-19 | 1113 | Spiders | - | Thunder | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 166 - 2023-03-21 | 1123 | Minnesota | - | Spiders | - | |||||
| 169 - 2023-03-24 | 1148 | Spiders | - | Crunch | - | |||||
| 170 - 2023-03-25 | 1160 | Senators | - | Spiders | - | |||||
| 172 - 2023-03-27 | 1172 | Spiders | - | Sound Tigers | - | |||||
| 175 - 2023-03-30 | 1191 | Wolf Pack | - | Spiders | - | |||||
| 177 - 2023-04-01 | 1211 | Spiders | - | Baby Hawks | - | |||||
| 178 - 2023-04-02 | 1222 | Spiders | - | Oceanics | - | |||||
| 180 - 2023-04-04 | 1233 | Manchots | - | Spiders | - | |||||
| 182 - 2023-04-06 | 1243 | Monsters | - | Spiders | - | |||||
| 184 - 2023-04-08 | 1265 | Spiders | - | Bruins | - | |||||
| 187 - 2023-04-11 | 1285 | Crunch | - | Spiders | - | |||||
| 189 - 2023-04-13 | 1301 | Spiders | - | Bears | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 18 |
| Assistance | 0.00% | 0.00% |
| 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 | 41 | 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 |
| 0$ | 1,694,055$ | 1,694,055$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 8,916$ | 0$ | 20 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 190 | 8,916$ | 1,694,040$ |
| # | 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 |
|---|
