| Royals | |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Guillaume Brasseur | Morale : 40 | Moyenne d’équipe : 63 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Oskar Lindblom | X | 100.00 | 60 | 52 | 55 | 67 | 69 | 73 | 30 | 85 | 53 | 60 | 60 | 57 | 45 | 74 | 95 | 0 | 40 | 69 | 0 | 28 | 4 | 2,500,000$ | ||||
| 2 | Steven Lorentz | X | 100.00 | 72 | 51 | 88 | 63 | 82 | 69 | 53 | 55 | 63 | 56 | 55 | 60 | 47 | 68 | 59 | 0 | 40 | 65 | 0 | 28 | 4 | 950,000$ | ||||
| 3 | Zach Sanford | X | 100.00 | 57 | 51 | 89 | 63 | 80 | 71 | 44 | 55 | 64 | 64 | 52 | 59 | 46 | 78 | 63 | 0 | 40 | 64 | 0 | 30 | 1 | 1,500,000$ | ||||
| 4 | Janne Kuokkanen | X | 100.00 | 58 | 51 | 90 | 73 | 69 | 60 | 55 | 55 | 40 | 53 | 56 | 62 | 44 | 68 | 61 | 0 | 40 | 64 | 0 | 26 | 1 | 1,600,000$ | ||||
| 5 | Collin Graf (R) | X | 100.00 | 54 | 50 | 90 | 63 | 69 | 82 | 30 | 57 | 35 | 60 | 50 | 58 | 31 | 56 | 61 | 0 | 40 | 62 | 0 | 22 | 3 | 925,000$ | ||||
| 6 | Jacob de la Rose | X | 100.00 | 44 | 45 | 55 | 73 | 79 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 61 | 0 | 40 | 59 | 0 | 29 | 3 | 700,000$ | ||||
| 7 | Michael Frolik | X | 100.00 | 44 | 45 | 55 | 71 | 67 | 60 | 55 | 57 | 32 | 51 | 50 | 50 | 30 | 54 | 68 | 0 | 40 | 58 | 0 | 36 | 2 | 750,000$ | ||||
| 8 | John Moore | X | 100.00 | 58 | 50 | 79 | 71 | 77 | 60 | 55 | 55 | 30 | 50 | 50 | 62 | 30 | 90 | 89 | 0 | 40 | 66 | 0 | 34 | 2 | 2,250,000$ | ||||
| 9 | Yan Kuznetsov (R) | X | 100.00 | 45 | 50 | 90 | 63 | 81 | 77 | 30 | 55 | 38 | 50 | 50 | 55 | 30 | 56 | 54 | 0 | 40 | 60 | 0 | 22 | 1 | 825,000$ | ||||
| 10 | Reilly Walsh | X | 100.00 | 39 | 50 | 90 | 73 | 64 | 60 | 55 | 55 | 30 | 60 | 50 | 50 | 30 | 59 | 70 | 0 | 40 | 60 | 0 | 25 | 2 | 775,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 53 | 50 | 78 | 68 | 74 | 67 | 46 | 58 | 42 | 55 | 52 | 56 | 36 | 66 | 68 | 0 | 40 | 63 | ||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matt Tomkins (R) | 100.00 | 63 | 37 | 92 | 83 | 86 | 80 | 68 | 59 | 55 | 57 | 54 | 62 | 63 | 0 | 40 | 69 | N | 0 | 30 | 5 | 775,000$ |
| 2 | MacKenzie Skapski | 100.00 | 66 | 30 | 65 | 80 | 55 | 55 | 50 | 55 | 50 | 52 | 50 | 64 | 50 | 0 | 40 | 57 | N | 0 | 30 | 1 | 800,000$ |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 65 | 34 | 79 | 82 | 71 | 68 | 59 | 57 | 53 | 55 | 52 | 63 | 57 | 0 | 40 | 63 | ||||||
| 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 | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | 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 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Collin Graf | Royals (CLE) | C | 22 | 2002-09-21 | Yes | 194 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 3 | 2024-08-21 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Jacob de la Rose | Royals (CLE) | RW | 29 | 1995-05-20 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
| Janne Kuokkanen | Royals (CLE) | LW | 26 | 1998-05-25 | No | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 1,600,000$ | 1,600,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
| John Moore | Royals (CLE) | D | 34 | 1990-11-19 | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | Pro & Farm | 2,250,000$ | 2,250,000$ | 0$ | 0$ | No | 2,250,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| MacKenzie Skapski | Royals (CLE) | G | 30 | 1994-06-15 | No | 191 Lbs | 6 ft3 | Yes | No | Assign Manually | No | No | 1 | 2024-10-15 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Matt Tomkins | Royals (CLE) | G | 30 | 1994-06-19 | Yes | 191 Lbs | 6 ft4 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
| Michael Frolik | Royals (CLE) | RW | 36 | 1988-02-17 | No | 186 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
| Oskar Lindblom | Royals (CLE) | LW | 28 | 1996-08-15 | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | Pro & Farm | 2,500,000$ | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Reilly Walsh | Royals (CLE) | D | 25 | 1999-04-21 | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2024-08-29 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Steven Lorentz | Royals (CLE) | C | 28 | 1996-04-13 | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 4 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
| Yan Kuznetsov | Royals (CLE) | D | 22 | 2002-03-09 | Yes | 209 Lbs | 6 ft4 | No | No | Trade (Prospect) | No | No | 1 | 2024-08-08 | Pro & Farm | 825,000$ | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Zach Sanford | Royals (CLE) | LW | 30 | 1994-11-09 | No | 206 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 12 | 28.33 | 199 Lbs | 6 ft2 | 2.42 | 1,195,833$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | Michael Frolik | 30 | 1 | 2 | 2 | ||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 34 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 26 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | Michael Frolik | 49 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 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 |
|---|
| , , , , |
| 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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 | 0 | 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 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 0 |
| Assistance | 0% | 0% |
| Assistance PCT | 0% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 0$ | 0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 0 | 0$ | 0$ |
| # | 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 |
|---|
