| 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 | Dale Weise | 0 | X | 100.00 | 81 | 43 | 60 | 46 | 82 | 51 | 75 | 64 | 40 | 76 | 80 | 57 | 53 | 69 | 62 | 0 | 50 | 68 | 0 | ||||
| 2 | Tage Thompson | 0 | X | X | 100.00 | 68 | 22 | 63 | 40 | 75 | 56 | 80 | 66 | 43 | 75 | 79 | 53 | 74 | 36 | 38 | 0 | 50 | 66 | 0 | |||
| 3 | Victor Ejdsell | 0 | X | 100.00 | 32 | 19 | 83 | 64 | 81 | 62 | 83 | 56 | 31 | 64 | 71 | 68 | 68 | 39 | 40 | 0 | 50 | 61 | 0 | ||||
| 4 | Eric Robinson | 0 | X | 100.00 | 54 | 22 | 82 | 66 | 66 | 54 | 82 | 58 | 31 | 66 | 72 | 62 | 67 | 31 | 40 | 0 | 50 | 61 | 0 | ||||
| 5 | Jakob Chychrun | 0 | X | 100.00 | 65 | 28 | 64 | 42 | 71 | 71 | 60 | 85 | 28 | 84 | 76 | 62 | 70 | 35 | 48 | 0 | 50 | 72 | 0 | ||||
| 6 | Jake Dotchin | 0 | X | 100.00 | 87 | 44 | 36 | 48 | 82 | 53 | 77 | 79 | 30 | 81 | 75 | 43 | 65 | 47 | 57 | 0 | 50 | 69 | 0 | ||||
| 7 | Christian Jaros | 0 | X | 100.00 | 83 | 28 | 61 | 48 | 68 | 52 | 71 | 80 | 30 | 81 | 75 | 50 | 66 | 41 | 45 | 0 | 50 | 68 | 0 | ||||
| 8 | Oliver Kylington (R) | 0 | X | 100.00 | 46 | 18 | 65 | 47 | 48 | 43 | 76 | 81 | 30 | 81 | 77 | 34 | 66 | 43 | 37 | 0 | 50 | 66 | 0 | ||||
| 9 | Blake Hillman | 0 | X | 100.00 | 36 | 22 | 83 | 60 | 58 | 65 | 83 | 67 | 31 | 72 | 69 | 60 | 68 | 33 | 37 | 0 | 50 | 65 | 0 | ||||
| 10 | Daniel Brickley | 0 | X | 100.00 | 40 | 22 | 82 | 58 | 70 | 45 | 83 | 67 | 31 | 72 | 73 | 54 | 68 | 30 | 36 | 0 | 50 | 62 | 0 | ||||
| Rayé | |||||||||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 59 | 27 | 68 | 52 | 70 | 55 | 77 | 70 | 33 | 75 | 75 | 54 | 67 | 40 | 44 | 0 | 50 | 66 | ||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alexandar Georgiev | 100.00 | 94 | 94 | 86 | 81 | 92 | 92 | 92 | 93 | 90 | 87 | 80 | 36 | 53 | 0 | 50 | 83 | 0 | |
| Rayé | ||||||||||||||||||||
| MOYENNE D'ÉQUIPE | 100.00 | 94 | 94 | 86 | 81 | 92 | 92 | 92 | 93 | 90 | 87 | 80 | 36 | 53 | 0 | 50 | 83 | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Christian Jaros | Diabotins (HEL) | D | 4 | 2 | 1 | 3 | -2 | 2 | 0 | 23 | 14 | 13 | 6 | 4 | 15.38% | 4 | 96 | 24.17 | 1 | 1 | 2 | 3 | 9 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 40.00% | 15 | 2 | 3 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 2 | Tage Thompson | Diabotins (HEL) | C/RW | 4 | 1 | 1 | 2 | -4 | 2 | 0 | 10 | 5 | 11 | 2 | 7 | 9.09% | 1 | 88 | 22.25 | 1 | 1 | 2 | 2 | 11 | 0 | 0 | 0 | 2 | 7 | 0 | 0 | 27.12% | 59 | 3 | 2 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | Dale Weise | Diabotins (HEL) | RW | 4 | 0 | 1 | 1 | -4 | 6 | 0 | 16 | 3 | 12 | 8 | 8 | 0.00% | 4 | 89 | 22.27 | 0 | 1 | 1 | 2 | 12 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 33.33% | 15 | 5 | 4 | 0 | 0 | 0.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 4 | Eric Robinson | Diabotins (HEL) | LW | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 2 | 12 | 8 | 2 | 6 | 0.00% | 1 | 87 | 21.93 | 0 | 0 | 0 | 3 | 12 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 57.14% | 7 | 4 | 1 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | Oliver Kylington | Diabotins (HEL) | D | 4 | 0 | 1 | 1 | -2 | 4 | 0 | 3 | 1 | 10 | 0 | 9 | 0.00% | 1 | 86 | 21.63 | 0 | 1 | 1 | 1 | 8 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 20.00% | 5 | 6 | 1 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | Daniel Brickley | Diabotins (HEL) | D | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 4 | 7 | 3 | 2 | 1 | 0.00% | 5 | 74 | 18.58 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 2 | 0 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 7 | Blake Hillman | Diabotins (HEL) | D | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 14 | 4 | 1 | 2 | 0.00% | 2 | 80 | 20.14 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 57.14% | 7 | 1 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 8 | Victor Ejdsell | Diabotins (HEL) | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | 8 | 6 | 7 | 0.00% | 5 | 85 | 21.39 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 41.54% | 65 | 2 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | Jake Dotchin | Diabotins (HEL) | D | 4 | 0 | 0 | 0 | -4 | 0 | 0 | 23 | 4 | 9 | 6 | 1 | 0.00% | 5 | 99 | 24.80 | 0 | 0 | 0 | 2 | 11 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Jakob Chychrun | Diabotins (HEL) | D | 4 | 0 | 0 | 0 | -6 | 4 | 0 | 14 | 11 | 10 | 2 | 3 | 0.00% | 9 | 109 | 27.27 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 5 | 6 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Stats d'équipe Total ou en Moyenne | 40 | 3 | 5 | 8 | -29 | 20 | 0 | 99 | 85 | 88 | 35 | 48 | 3.41% | 37 | 897 | 22.44 | 2 | 4 | 6 | 14 | 99 | 0 | 0 | 0 | 6 | 62 | 0 | 0 | 36.00% | 175 | 30 | 21 | 0 | 0 | 0.18 | 0 | 0 | 0 | 0 | 0 | 1 | 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 |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alexandar Georgiev | Diabotins (HEL) | 4 | 0 | 4 | 0 | 0.922 | 2.27 | 238 | 0 | 0 | 9 | 115 | 58 | 0 | 1 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 |
| Stats d'équipe Total ou en Moyenne | 4 | 0 | 4 | 0 | 0.922 | 2.27 | 238 | 0 | 0 | 9 | 115 | 58 | 0 | 1 | 0.000 | 0 | 4 | 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 |
| Nom du Joueur | Nom de l'Équipe | POS | Âge | Date de Naissance | Nouveau Joueur | Poids | Taille | Non-Échange | Disponible pour Échange | Ballotage Forcé | Contrat | Status | Type | Salaire Actuel | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexandar Georgiev | Diabotins (HEL) | G | 23 | 1996-02-10 | No | 179 Lbs | 185 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Blake Hillman | Diabotins (HEL) | D | 23 | 1996-01-26 | No | 193 Lbs | 185 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Christian Jaros | Diabotins (HEL) | D | 23 | 1996-04-02 | No | 201 Lbs | 191 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 801,667$ | 0$ | 0$ | No | Lien |
| Dale Weise | Diabotins (HEL) | RW | 31 | 1988-08-05 | No | 206 Lbs | 188 CM | No | No | No | 1 | Sans Restriction | Pro & Farm | 650,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Daniel Brickley | Diabotins (HEL) | D | 24 | 1995-03-30 | No | 203 Lbs | 191 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 1,350,000$ | 0$ | 0$ | No | Lien |
| Eric Robinson | Diabotins (HEL) | LW | 24 | 1995-06-14 | No | 200 Lbs | 188 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Jake Dotchin | Diabotins (HEL) | D | 25 | 1994-03-24 | No | 210 Lbs | 191 CM | No | No | No | 2 | Avec Restriction | Pro & Farm | 800,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Jakob Chychrun | Diabotins (HEL) | D | 21 | 1998-03-31 | No | 210 Lbs | 188 CM | No | No | No | 2 | Contrat d'Entrée | Pro & Farm | 1,350,000$ | 0$ | 0$ | No | Lien / Lien NHL |
| Oliver Kylington | Diabotins (HEL) | D | 22 | 1997-05-19 | Yes | 183 Lbs | 183 CM | No | No | No | 2 | Contrat d'Entrée | Pro & Farm | 863,333$ | 0$ | 0$ | No | Lien |
| Tage Thompson | Diabotins (HEL) | C/RW | 21 | 1997-10-30 | No | 205 Lbs | 198 CM | No | No | No | 1 | Contrat d'Entrée | Pro & Farm | 1,137,500$ | 0$ | 0$ | No | Lien |
| Victor Ejdsell | Diabotins (HEL) | C | 24 | 1995-06-06 | No | 214 Lbs | 196 CM | No | No | No | 1 | Avec Restriction | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien |
| Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
|---|---|---|---|---|---|
| 11 | 23.73 | 200 Lbs | 191 CM | 1.27 | 968,409$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Eric Robinson | Tage Thompson | Dale Weise | 40 | 1 | 2 | 2 |
| 2 | Dale Weise | Victor Ejdsell | Tage Thompson | 30 | 1 | 2 | 2 |
| 3 | Eric Robinson | Victor Ejdsell | Jake Dotchin | 20 | 1 | 2 | 2 |
| 4 | Christian Jaros | Oliver Kylington | 10 | 1 | 2 | 2 | |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Jakob Chychrun | Jake Dotchin | 40 | 1 | 2 | 2 | |
| 2 | Christian Jaros | 30 | 1 | 2 | 2 | ||
| 3 | Oliver Kylington | Blake Hillman | 20 | 1 | 2 | 2 | |
| 4 | Daniel Brickley | Jakob Chychrun | 10 | 1 | 2 | 2 | |
| Attaque en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
| 1 | Eric Robinson | Tage Thompson | Dale Weise | 60 | 1 | 2 | 2 |
| 2 | Dale Weise | Victor Ejdsell | Tage Thompson | 40 | 1 | 2 | 2 |
| Défense en Avantage Numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
| 1 | Jakob Chychrun | Jake Dotchin | 60 | 1 | 2 | 2 | |
| 2 | Christian Jaros | 40 | 1 | 2 | 2 | ||
| Attaque à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | Dale Weise | Tage Thompson | 60 | 1 | 2 | 2 |
| 2 | Victor Ejdsell | Eric Robinson | 40 | 1 | 2 | 2 |
| Défense à 4 en Désavantage Numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Jakob Chychrun | Jake Dotchin | 60 | 1 | 2 | 2 |
| 2 | Christian Jaros | 40 | 1 | 2 | 2 | |
| 3 joueurs en Désavantage Numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Dale Weise | 60 | 1 | 2 | 2 | Jakob Chychrun | Jake Dotchin | 60 | 1 | 2 | 2 |
| 2 | Tage Thompson | 40 | 1 | 2 | 2 | Christian Jaros | 40 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
| 1 | Dale Weise | Tage Thompson | 60 | 1 | 2 | 2 |
| 2 | Victor Ejdsell | Eric Robinson | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
| 1 | Jakob Chychrun | Jake Dotchin | 60 | 1 | 2 | 2 |
| 2 | Christian Jaros | 40 | 1 | 2 | 2 | |
| Attaque Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Eric Robinson | Tage Thompson | Dale Weise | Jakob Chychrun | Jake Dotchin |
| Défense Dernière Minute | ||||
|---|---|---|---|---|
| Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
| Eric Robinson | Tage Thompson | Dale Weise | Jakob Chychrun | Jake Dotchin |
| Attaquants Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Victor Ejdsell, Eric Robinson, Dale Weise | Victor Ejdsell, Eric Robinson | Dale Weise |
| Défenseurs Supplémentaires | ||
|---|---|---|
| Normal | Avantage Numérique | Désavantage Numérique |
| Blake Hillman, Daniel Brickley, Oliver Kylington | Blake Hillman | Daniel Brickley, Oliver Kylington |
| Tirs de Pénalité |
|---|
| Dale Weise, Tage Thompson, Victor Ejdsell, Eric Robinson, |
| Gardien |
|---|
| #1 : Alexandar Georgiev, #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 |
| 1 | Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 2 | 0 | 1 | 0 | 25 | 20 | 42 | 26 | 0 | 26 | 16 | 6 | 23 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 |
| 2 | Pirates | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 2 | 0 | 1 | 0 | 47 | 20 | 42 | 26 | 0 | 54 | 15 | 10 | 56 | 10 | 1 | 10.00% | 5 | 0 | 100.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 |
| 3 | Royaux | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 16 | 20 | 42 | 26 | 0 | 36 | 7 | 4 | 25 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 |
| Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 0 | 1 | 0 | 88 | 20 | 42 | 26 | 0 | 116 | 38 | 20 | 104 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 | |
| _Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 2 | 0 | 1 | 0 | 88 | 20 | 42 | 26 | 0 | 116 | 38 | 20 | 104 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 | |
| _Vs Conference | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 2 | 0 | 1 | 0 | 47 | 20 | 42 | 26 | 0 | 54 | 15 | 10 | 56 | 10 | 1 | 10.00% | 5 | 0 | 100.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 | |
| _Vs Division | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 1 | 0 | 2 | 0 | 1 | 0 | 47 | 20 | 42 | 26 | 0 | 54 | 15 | 10 | 56 | 10 | 1 | 10.00% | 5 | 0 | 100.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 | |
| 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 |
| 4 | 0 | L4 | 3 | 5 | 8 | 88 | 116 | 38 | 20 | 104 | 1 | 0 |
| Tous les Matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 0 | 4 | 0 | 0 | 0 | 0 | 3 | 10 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 5 |
| Matchs Éxtérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 5 |
| Derniers 10 Matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 4 | 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 |
|---|---|---|---|---|---|---|
| 13 | 2 | 15.38% | 10 | 1 | 90.00% | 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 |
|---|---|---|---|---|---|---|---|
| 20 | 42 | 26 | 0 | 2 | 0 | 1 | 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 |
| 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% |
| 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 |
| 75 | 39 | 97 | 36 | 67 | 33 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 - 2019-10-08 | 6 | Pirates | 3 | Diabotins | 1 | L | Sommaire du Match | |||
| 3 - 2019-10-09 | 13 | Diabotins | 1 | Barracuda | 2 | L | Sommaire du Match | |||
| 6 - 2019-10-12 | 22 | Diabotins | 0 | Royaux | 3 | L | Sommaire du Match | |||
| 7 - 2019-10-13 | 27 | Pirates | 2 | Diabotins | 1 | L | Sommaire du Match | |||
| 9 - 2019-10-15 | 36 | Diabotins | - | Benchwarmers | - | |||||
| 11 - 2019-10-17 | 44 | Barracuda | - | Diabotins | - | |||||
| 13 - 2019-10-19 | 51 | Pirates | - | Diabotins | - | |||||
| 16 - 2019-10-22 | 61 | Hooligans | - | Diabotins | - | |||||
| 17 - 2019-10-23 | 66 | Diabotins | - | Werewolves | - | |||||
| 20 - 2019-10-26 | 77 | Hooligans | - | Diabotins | - | |||||
| 22 - 2019-10-28 | 86 | Diabotins | - | Royaux | - | |||||
| 23 - 2019-10-29 | 92 | Casse-Tete | - | Diabotins | - | |||||
| 28 - 2019-11-03 | 106 | Werewolves | - | Diabotins | - | |||||
| 29 - 2019-11-04 | 112 | Diabotins | - | Vagabond | - | |||||
| 31 - 2019-11-06 | 121 | Diabotins | - | Caribou | - | |||||
| 32 - 2019-11-07 | 124 | Requins | - | Diabotins | - | |||||
| 34 - 2019-11-09 | 136 | Benchwarmers | - | Diabotins | - | |||||
| 36 - 2019-11-11 | 145 | Diabotins | - | Barracuda | - | |||||
| 37 - 2019-11-12 | 150 | Diabotins | - | Caribou | - | |||||
| 39 - 2019-11-14 | 154 | Hooligans | - | Diabotins | - | |||||
| 41 - 2019-11-16 | 165 | Vagabond | - | Diabotins | - | |||||
| 43 - 2019-11-18 | 174 | Diabotins | - | Barracuda | - | |||||
| 44 - 2019-11-19 | 180 | Vagabond | - | Diabotins | - | |||||
| 47 - 2019-11-22 | 189 | Diabotins | - | Benchwarmers | - | |||||
| 48 - 2019-11-23 | 193 | Diabotins | - | Werewolves | - | |||||
| 50 - 2019-11-25 | 200 | Hooligans | - | Diabotins | - | |||||
| 52 - 2019-11-27 | 207 | Diabotins | - | Jardiniers | - | |||||
| 53 - 2019-11-28 | 213 | Hybrides | - | Diabotins | - | |||||
| 56 - 2019-12-01 | 223 | Diabotins | - | Hooligans | - | |||||
| 57 - 2019-12-02 | 229 | Royaux | - | Diabotins | - | |||||
| 59 - 2019-12-04 | 238 | Diabotins | - | Hooligans | - | |||||
| 61 - 2019-12-06 | 241 | Diabotins | - | Chevalier | - | |||||
| 62 - 2019-12-07 | 247 | Caribou | - | Diabotins | - | |||||
| 64 - 2019-12-09 | 259 | Hooligans | - | Diabotins | - | |||||
| 65 - 2019-12-10 | 263 | Diabotins | - | Hybrides | - | |||||
| 67 - 2019-12-12 | 273 | Leftovers | - | Diabotins | - | |||||
| 69 - 2019-12-14 | 279 | Diabotins | - | Royaux | - | |||||
| 71 - 2019-12-16 | 287 | Diabotins | - | Requins | - | |||||
| 72 - 2019-12-17 | 293 | Royaux | - | Diabotins | - | |||||
| 74 - 2019-12-19 | 302 | Werewolves | - | Diabotins | - | |||||
| 76 - 2019-12-21 | 309 | Diabotins | - | Werewolves | - | |||||
| 78 - 2019-12-23 | 316 | Diabotins | - | Chevalier | - | |||||
| 79 - 2019-12-24 | 320 | Diabotins | - | Pirates | - | |||||
| 81 - 2019-12-26 | 327 | Benchwarmers | - | Diabotins | - | |||||
| 83 - 2019-12-28 | 334 | Diabotins | - | Casse-Tete | - | |||||
| 85 - 2019-12-30 | 341 | Barracuda | - | Diabotins | - | |||||
| 87 - 2020-01-01 | 349 | Diabotins | - | Chevalier | - | |||||
| 89 - 2020-01-03 | 357 | Chevalier | - | Diabotins | - | |||||
| 90 - 2020-01-04 | 364 | Diabotins | - | Requins | - | |||||
| 92 - 2020-01-06 | 372 | Chevalier | - | Diabotins | - | |||||
| 95 - 2020-01-09 | 381 | Diabotins | - | Benchwarmers | - | |||||
| 96 - 2020-01-10 | 386 | Barracuda | - | Diabotins | - | |||||
| 98 - 2020-01-12 | 395 | Jardiniers | - | Diabotins | - | |||||
| 102 - 2020-01-16 | 409 | Leftovers | - | Diabotins | - | |||||
| 104 - 2020-01-18 | 416 | Diabotins | - | Vagabond | - | |||||
| 106 - 2020-01-20 | 422 | Requins | - | Diabotins | - | |||||
| 108 - 2020-01-22 | 435 | Pirates | - | Diabotins | - | |||||
| 110 - 2020-01-24 | 441 | Diabotins | - | Werewolves | - | |||||
| 113 - 2020-01-27 | 451 | Requins | - | Diabotins | - | |||||
| 115 - 2020-01-29 | 457 | Diabotins | - | Casse-Tete | - | |||||
| 116 - 2020-01-30 | 465 | Caribou | - | Diabotins | - | |||||
| 118 - 2020-02-01 | 474 | Diabotins | - | Hybrides | - | |||||
| 119 - 2020-02-02 | 477 | Diabotins | - | Leftovers | - | |||||
| 121 - 2020-02-04 | 485 | Werewolves | - | Diabotins | - | |||||
| 123 - 2020-02-06 | 495 | Pirates | - | Diabotins | - | |||||
| 125 - 2020-02-08 | 501 | Diabotins | - | Requins | - | |||||
| 127 - 2020-02-10 | 505 | Diabotins | - | Leftovers | - | |||||
| 129 - 2020-02-12 | 511 | Diabotins | - | Caribou | - | |||||
| 131 - 2020-02-14 | 517 | Chevalier | - | Diabotins | - | |||||
| 134 - 2020-02-17 | 528 | Barracuda | - | Diabotins | - | |||||
| 135 - 2020-02-18 | 535 | Diabotins | - | Leftovers | - | |||||
| 138 - 2020-02-21 | 543 | Diabotins | - | Barracuda | - | |||||
| 139 - 2020-02-22 | 548 | Royaux | - | Diabotins | - | |||||
| 141 - 2020-02-24 | 555 | Diabotins | - | Royaux | - | |||||
| 142 - 2020-02-25 | 563 | Jardiniers | - | Diabotins | - | |||||
| 144 - 2020-02-27 | 569 | Diabotins | - | Jardiniers | - | |||||
| 146 - 2020-02-29 | 578 | Casse-Tete | - | Diabotins | - | |||||
| 148 - 2020-03-02 | 585 | Diabotins | - | Jardiniers | - | |||||
| 149 - 2020-03-03 | 590 | Benchwarmers | - | Diabotins | - | |||||
| 150 - 2020-03-04 | 593 | Diabotins | - | Vagabond | - | |||||
| 152 - 2020-03-06 | 598 | Diabotins | - | Pirates | - | |||||
| 155 - 2020-03-09 | 609 | Pirates | - | Diabotins | - | |||||
| 160 - 2020-03-14 | 622 | Hybrides | - | Diabotins | - | |||||
| 161 - 2020-03-15 | 627 | Diabotins | - | Vagabond | - |
| 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 | 0 |
| 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 |
| 40 | 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 |
| 52,679$ | 1,065,250$ | 751,834$ | 0$ |
| Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
|---|---|---|---|
| 6,535$ | 52,679$ | 0 | 0 |
| Éstimation | |||
|---|---|---|---|
| Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
| 0$ | 155 | 6,535$ | 1,012,925$ |
| 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 |
| 2019 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 3 | 5 | 8 | 1 | 0 | 2 | 0 | 1 | 0 | 88 | 20 | 42 | 26 | 0 | 116 | 38 | 20 | 104 | 13 | 2 | 15.38% | 10 | 1 | 90.00% | 0 | 21 | 67 | 31.34% | 32 | 81 | 39.51% | 11 | 36 | 30.56% | 75 | 39 | 97 | 36 | 67 | 33 |
| Total Saison Régulière | 504 | 171 | 235 | 0 | 26 | 19 | 18 | 35 | 1762 | 1826 | -64 | 252 | 102 | 90 | 0 | 16 | 15 | 10 | 19 | 978 | 874 | 104 | 252 | 69 | 145 | 0 | 10 | 4 | 8 | 16 | 784 | 952 | -168 | 342 | 1762 | 3052 | 4814 | 12 | 19 | 603 | 575 | 540 | 69 | 14532 | 4886 | 4641 | 4769 | 425 | 16184 | 5790 | 3629 | 9757 | 1697 | 347 | 20.45% | 1650 | 292 | 82.30% | 63 | 5045 | 9609 | 52.50% | 5205 | 10320 | 50.44% | 3522 | 7086 | 49.70% | 11149 | 7106 | 11767 | 4050 | 7691 | 3821 |
| 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 |