| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matthew Nieto | 0 | X | X | 100.00 | 67 | 42 | 96 | 81 | 69 | 66 | 84 | 60 | 32 | 50 | 47 | 73 | 25 | 69 | 72 | 0 | 47 | 62 | 0 | |||
| 2 | Nikita Gusev (R) | 0 | X | 100.00 | 59 | 40 | 93 | 86 | 60 | 68 | 81 | 81 | 34 | 54 | 49 | 60 | 80 | 52 | 52 | 0 | 50 | 61 | 0 | ||||
| 3 | Riley Barber (R) | 0 | X | 100.00 | 78 | 73 | 78 | 66 | 70 | 75 | 77 | 58 | 50 | 42 | 42 | 66 | 61 | 45 | 45 | 0 | 50 | 61 | 0 | ||||
| 4 | Tyson Jost | 0 | X | X | X | 100.00 | 72 | 42 | 90 | 85 | 69 | 63 | 90 | 66 | 42 | 50 | 47 | 61 | 25 | 61 | 62 | 0 | 50 | 60 | 0 | ||
| 5 | Ryan Donato | 0 | X | 100.00 | 70 | 61 | 94 | 83 | 67 | 60 | 85 | 66 | 41 | 50 | 49 | 62 | 80 | 58 | 59 | 0 | 50 | 60 | 0 | ||||
| 6 | Miles Wood | 0 | X | 100.00 | 80 | 50 | 71 | 92 | 74 | 64 | 83 | 62 | 25 | 49 | 48 | 62 | 25 | 62 | 63 | 0 | 50 | 60 | 0 | ||||
| 7 | Tage Thompson | 0 | X | X | 100.00 | 79 | 66 | 87 | 78 | 79 | 63 | 63 | 62 | 42 | 43 | 43 | 63 | 62 | 52 | 52 | 0 | 50 | 59 | 0 | |||
| 8 | Tyler Graovac | 0 | X | X | 100.00 | 83 | 77 | 90 | 72 | 81 | 64 | 61 | 52 | 65 | 38 | 38 | 70 | 54 | 51 | 51 | 0 | 50 | 59 | 0 | |||
| 9 | Eric Robinson | 0 | X | 100.00 | 81 | 45 | 91 | 62 | 75 | 57 | 78 | 64 | 35 | 48 | 47 | 59 | 25 | 51 | 51 | 0 | 50 | 57 | 0 | ||||
| 10 | Jonathan Davidsson (R) | 0 | X | 100.00 | 74 | 67 | 89 | 76 | 67 | 52 | 53 | 50 | 50 | 37 | 37 | 61 | 46 | 44 | 44 | 0 | 50 | 52 | 0 | ||||
| 11 | Ethan Bear | 0 | X | 100.00 | 75 | 61 | 84 | 85 | 71 | 79 | 79 | 63 | 25 | 41 | 38 | 75 | 25 | 59 | 59 | 0 | 50 | 59 | 0 | ||||
| 12 | Ben Harpur | 0 | X | 100.00 | 81 | 71 | 71 | 65 | 85 | 65 | 64 | 59 | 25 | 35 | 34 | 68 | 37 | 59 | 59 | 0 | 50 | 54 | 0 | ||||
| 13 | Oliver Kylington | 0 | X | 100.00 | 68 | 42 | 90 | 79 | 67 | 61 | 71 | 61 | 25 | 41 | 38 | 63 | 25 | 55 | 55 | 0 | 50 | 54 | 0 | ||||
| 14 | Christian Jaros | 0 | X | 100.00 | 78 | 43 | 86 | 63 | 76 | 58 | 72 | 54 | 25 | 43 | 38 | 59 | 25 | 54 | 54 | 0 | 47 | 52 | 0 | ||||
| 15 | Jake Dotchin | 0 | X | 100.00 | 77 | 71 | 49 | 65 | 79 | 57 | 59 | 53 | 30 | 34 | 33 | 69 | 38 | 56 | 56 | 0 | 50 | 50 | 0 | ||||
| 16 | Daniel Brickley | 0 | X | 100.00 | 80 | 77 | 86 | 56 | 77 | 50 | 52 | 46 | 25 | 30 | 30 | 63 | 37 | 44 | 44 | 0 | 50 | 45 | 0 | ||||
| Rayé | |||||||||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 75 | 58 | 84 | 75 | 73 | 63 | 72 | 60 | 36 | 43 | 41 | 65 | 42 | 55 | 55 | 0 | 50 | 57 | ||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | ||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |||
| Nom du Coach | 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 Restant | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ben Harpur | Diabotins (HEL) | D | 25 | 1995-01-12 | No | 222 Lbs | 198 CM | No | No | No | 1 | Pro & Farm | 725,000$ | 725,000$ | 0$ | 0$ | No | Lien | |||||||||
| Christian Jaros | Diabotins (HEL) | D | 24 | 1996-04-02 | No | 201 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 801,667$ | 801,667$ | 0$ | 0$ | No | Lien | |||||||||
| Daniel Brickley | Diabotins (HEL) | D | 25 | 1995-03-30 | No | 205 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
| Eric Robinson | Diabotins (HEL) | LW | 25 | 1995-06-14 | No | 201 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 874,125$ | 874,125$ | 0$ | 0$ | No | Lien | |||||||||
| Ethan Bear | Diabotins (HEL) | D | 23 | 1997-06-26 | No | 198 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 798,333$ | 798,333$ | 0$ | 0$ | No | 798,333$ | Lien | ||||||||
| Jake Dotchin | Diabotins (HEL) | D | 26 | 1994-03-24 | No | 210 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Jonathan Davidsson | Diabotins (HEL) | RW | 23 | 1997-03-12 | Yes | 185 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
| Matthew Nieto | Diabotins (HEL) | LW/RW | 27 | 1992-11-05 | No | 190 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 1,975,000$ | 1,975,000$ | 0$ | 0$ | No | Lien | |||||||||
| Miles Wood | Diabotins (HEL) | LW | 25 | 1995-09-13 | No | 195 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 2,750,000$ | 2,750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Nikita Gusev | Diabotins (HEL) | LW | 28 | 1992-07-08 | Yes | 168 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 4,500,000$ | 4,500,000$ | 0$ | 0$ | No | 4,500,000$ | Lien | ||||||||
| Oliver Kylington | Diabotins (HEL) | D | 23 | 1997-05-19 | No | 183 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | Lien | |||||||||
| Riley Barber | Diabotins (HEL) | RW | 26 | 1994-02-07 | Yes | 193 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 715,000$ | 715,000$ | 0$ | 0$ | No | 715,000$ | |||||||||
| Ryan Donato | Diabotins (HEL) | C | 24 | 1996-04-09 | No | 181 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 1,900,000$ | 1,900,000$ | 0$ | 0$ | No | Lien | |||||||||
| Tage Thompson | Diabotins (HEL) | C/RW | 22 | 1997-10-30 | No | 205 Lbs | 196 CM | No | No | No | 1 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | Lien | |||||||||
| Tyler Graovac | Diabotins (HEL) | C/RW | 27 | 1993-04-26 | No | 212 Lbs | 196 CM | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Tyson Jost | Diabotins (HEL) | C/LW/RW | 22 | 1998-03-14 | No | 191 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 1,673,333$ | 1,673,333$ | 0$ | 0$ | No | Lien / Lien NHL |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 16 | 24.69 | 196 Lbs | 185 CM | 1.25 | 1,357,081$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Jake Dotchin | 20 | 1 | 2 | 2 | ||
| 4 | Oliver Kylington | 10 | 1 | 2 | 2 | ||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Jake Dotchin | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Oliver Kylington | 20 | 1 | 2 | 2 | ||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Jake Dotchin | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Jake Dotchin | 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 | Jake Dotchin | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Jake Dotchin | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Jake Dotchin | ||||
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Jake Dotchin | ||||
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , | , | |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| , , Oliver Kylington | , Oliver Kylington | |
| 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 |
| Ligue | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
| 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 Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| 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 |
|---|
| Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité de l'Aréna | 2000 | 1000 |
| Prix des Billets | 35 | 15 |
| Assistance | 0.00% | 0.00% |
| Assistance PCT | 0.00% | 0.00% |
| Revenus | |||||
|---|---|---|---|---|---|
| Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité de l'Aréna | Popularité de l'Équipe |
| 42 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
| 0$ | 2,171,329$ | 2,114,747$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 0 | 0$ | 0$ |
| Ligue | 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 |
| Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 84 | 56 | 18 | 0 | 0 | 3 | 3 | 4 | 374 | 269 | 105 | 42 | 32 | 7 | 0 | 0 | 1 | 2 | 0 | 202 | 142 | 60 | 42 | 24 | 11 | 0 | 0 | 2 | 1 | 4 | 172 | 127 | 45 | 112 | 374 | 677 | 1051 | 3 | 5 | 139 | 110 | 122 | 6 | 2726 | 952 | 841 | 908 | 50 | 2389 | 866 | 839 | 1569 | 277 | 78 | 28.16% | 279 | 42 | 84.95% | 13 | 1068 | 1780 | 60.00% | 952 | 1597 | 59.61% | 652 | 1237 | 52.71% | 2138 | 1487 | 1736 | 624 | 1202 | 610 |
| 2016 | 84 | 18 | 41 | 0 | 6 | 2 | 6 | 11 | 241 | 311 | -70 | 42 | 11 | 14 | 0 | 4 | 2 | 5 | 6 | 150 | 141 | 9 | 42 | 7 | 27 | 0 | 2 | 0 | 1 | 5 | 91 | 170 | -79 | 36 | 241 | 362 | 603 | 1 | 1 | 82 | 71 | 76 | 18 | 2085 | 691 | 636 | 692 | 129 | 2854 | 1054 | 261 | 1583 | 264 | 50 | 18.94% | 129 | 17 | 86.82% | 2 | 512 | 1366 | 37.48% | 503 | 1658 | 30.34% | 374 | 1112 | 33.63% | 1633 | 1015 | 2267 | 663 | 1245 | 591 |
| 2017 | 84 | 24 | 39 | 0 | 7 | 3 | 6 | 5 | 304 | 245 | 59 | 42 | 16 | 14 | 0 | 5 | 3 | 1 | 3 | 169 | 104 | 65 | 42 | 8 | 25 | 0 | 2 | 0 | 5 | 2 | 135 | 141 | -6 | 48 | 304 | 530 | 834 | 2 | 3 | 112 | 101 | 78 | 18 | 2562 | 826 | 851 | 831 | 91 | 2312 | 757 | 714 | 1881 | 281 | 44 | 15.66% | 348 | 67 | 80.75% | 14 | 1029 | 1729 | 59.51% | 997 | 1598 | 62.39% | 701 | 1125 | 62.31% | 2049 | 1337 | 1776 | 671 | 1298 | 660 |
| 2017 | 84 | 16 | 52 | 0 | 5 | 5 | 0 | 6 | 136 | 447 | -311 | 42 | 9 | 22 | 0 | 4 | 4 | 0 | 3 | 77 | 232 | -155 | 42 | 7 | 30 | 0 | 1 | 1 | 0 | 3 | 59 | 215 | -156 | 32 | 136 | 242 | 378 | 2 | 4 | 32 | 48 | 51 | 11 | 1805 | 555 | 582 | 635 | 58 | 2485 | 933 | 516 | 1474 | 282 | 42 | 14.89% | 262 | 40 | 84.73% | 7 | 698 | 1366 | 51.10% | 820 | 1580 | 51.90% | 526 | 1172 | 44.88% | 1702 | 985 | 2001 | 721 | 1391 | 691 |
| 2018 | 82 | 39 | 30 | 0 | 5 | 3 | 1 | 4 | 399 | 222 | 177 | 41 | 24 | 8 | 0 | 2 | 3 | 1 | 3 | 214 | 100 | 114 | 41 | 15 | 22 | 0 | 3 | 0 | 0 | 1 | 185 | 122 | 63 | 78 | 399 | 713 | 1112 | 1 | 2 | 159 | 126 | 108 | 7 | 2914 | 1069 | 936 | 887 | 35 | 2830 | 1013 | 814 | 1653 | 292 | 70 | 23.97% | 396 | 71 | 82.07% | 19 | 959 | 1786 | 53.70% | 1046 | 1954 | 53.53% | 627 | 1172 | 53.50% | 1898 | 1224 | 1817 | 659 | 1238 | 627 |
| 2018 | 82 | 18 | 51 | 0 | 3 | 3 | 2 | 5 | 305 | 322 | -17 | 41 | 10 | 23 | 0 | 1 | 2 | 1 | 4 | 164 | 150 | 14 | 41 | 8 | 28 | 0 | 2 | 1 | 1 | 1 | 141 | 172 | -31 | 36 | 305 | 523 | 828 | 2 | 4 | 77 | 119 | 104 | 9 | 2352 | 773 | 753 | 790 | 62 | 3198 | 1129 | 465 | 1493 | 288 | 61 | 21.18% | 226 | 54 | 76.11% | 8 | 758 | 1515 | 50.03% | 855 | 1852 | 46.17% | 631 | 1232 | 51.22% | 1651 | 1015 | 2069 | 674 | 1248 | 606 |
| Total Saison Régulière | 500 | 171 | 231 | 0 | 26 | 19 | 18 | 35 | 1759 | 1816 | -57 | 250 | 102 | 88 | 0 | 16 | 15 | 10 | 19 | 976 | 869 | 107 | 250 | 69 | 143 | 0 | 10 | 4 | 8 | 16 | 783 | 947 | -164 | 342 | 1759 | 3047 | 4806 | 11 | 19 | 601 | 575 | 539 | 69 | 14444 | 4866 | 4599 | 4743 | 425 | 16068 | 5752 | 3609 | 9653 | 1684 | 345 | 20.49% | 1640 | 291 | 82.26% | 63 | 5024 | 9542 | 52.65% | 5173 | 10239 | 50.52% | 3511 | 7050 | 49.80% | 11073 | 7066 | 11670 | 4014 | 7624 | 3787 |
| Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2016 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 10 | 19 | 32 | 51 | 0 | 0 | 9 | 3 | 6 | 1 | 293 | 113 | 70 | 106 | 4 | 247 | 94 | 114 | 193 | 23 | 2 | 8.70% | 43 | 7 | 83.72% | 2 | 121 | 186 | 65.05% | 135 | 193 | 69.95% | 75 | 102 | 73.53% | 245 | 171 | 177 | 67 | 125 | 65 |
| 2016 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 22 | -19 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | -15 | 0 | 3 | 3 | 6 | 0 | 0 | 0 | 3 | 0 | 0 | 77 | 29 | 21 | 23 | 4 | 169 | 58 | 14 | 64 | 10 | 2 | 20.00% | 7 | 4 | 42.86% | 0 | 16 | 64 | 25.00% | 25 | 104 | 24.04% | 9 | 49 | 18.37% | 67 | 39 | 128 | 32 | 57 | 25 |
| 2017 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 19 | -8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 2 | 11 | 18 | 29 | 0 | 0 | 4 | 2 | 5 | 0 | 191 | 65 | 47 | 76 | 3 | 174 | 73 | 56 | 93 | 11 | 3 | 27.27% | 29 | 9 | 68.97% | 1 | 77 | 105 | 73.33% | 82 | 128 | 64.06% | 44 | 67 | 65.67% | 124 | 84 | 111 | 37 | 67 | 34 |
| 2018 | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 37 | 33 | 4 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 23 | 17 | 6 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 16 | -2 | 8 | 37 | 65 | 102 | 0 | 0 | 12 | 11 | 14 | 0 | 387 | 149 | 100 | 133 | 5 | 278 | 105 | 101 | 170 | 33 | 8 | 24.24% | 46 | 6 | 86.96% | 5 | 138 | 214 | 64.49% | 118 | 178 | 66.29% | 84 | 126 | 66.67% | 241 | 168 | 182 | 65 | 126 | 66 |
| Total Séries | 27 | 10 | 17 | 0 | 0 | 0 | 0 | 0 | 70 | 92 | -22 | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 43 | 40 | 3 | 13 | 3 | 10 | 0 | 0 | 0 | 0 | 0 | 27 | 52 | -25 | 20 | 70 | 118 | 188 | 0 | 0 | 25 | 19 | 25 | 1 | 948 | 356 | 238 | 338 | 16 | 868 | 330 | 285 | 520 | 77 | 15 | 19.48% | 125 | 26 | 79.20% | 8 | 352 | 569 | 61.86% | 360 | 603 | 59.70% | 212 | 344 | 61.63% | 679 | 463 | 600 | 202 | 377 | 191 |