| Senators | |
| GP: 18 | W: 6 | L: 12 | OTL: 0 | P: 12 GF: 67 | GA: 101 | PP%: 25.45% | PK%: 66.67% DG: Thomas G | Morale : 50 | Moyenne d’équipe : 60 |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Kurtis MacDermid | X | 100.00 | 85 | 99 | 67 | 69 | 90 | 48 | 68 | 55 | 25 | 49 | 47 | 70 | 25 | 62 | 62 | 58 | 50 | 64 | 0 | 29 | 1 | 900,000$ | ||||
| 2 | Dylan Coghlan | X | 100.00 | 67 | 42 | 95 | 73 | 72 | 61 | 60 | 69 | 25 | 53 | 47 | 63 | 25 | 57 | 57 | 59 | 50 | 62 | 0 | 25 | 1 | 1,100,000$ | ||||
| 3 | Dakota Mermis | X | 100.00 | 70 | 71 | 68 | 67 | 71 | 73 | 79 | 53 | 25 | 48 | 41 | 62 | 39 | 55 | 55 | 54 | 50 | 61 | 0 | 29 | 2 | 750,000$ | ||||
| 4 | Cam Dineen | X | 100.00 | 75 | 67 | 92 | 66 | 67 | 73 | 78 | 56 | 25 | 55 | 42 | 63 | 40 | 47 | 47 | 57 | 50 | 61 | 0 | 25 | 1 | 910,833$ | ||||
| 5 | Lassi Thomson | X | 100.00 | 75 | 70 | 85 | 72 | 70 | 71 | 75 | 55 | 25 | 50 | 46 | 63 | 44 | 45 | 45 | 58 | 50 | 61 | 0 | 23 | 2 | 1,288,333$ | ||||
| 6 | Simon Lundmark (R) | X | 100.00 | 80 | 75 | 90 | 70 | 75 | 71 | 77 | 48 | 25 | 40 | 40 | 63 | 38 | 44 | 44 | 54 | 50 | 60 | 0 | 23 | 2 | 925,000$ | ||||
| 7 | Daniel Walcott (R) | X | X | 100.00 | 59 | 60 | 58 | 65 | 60 | 76 | 81 | 58 | 50 | 56 | 56 | 55 | 53 | 44 | 44 | 58 | 50 | 57 | 0 | 29 | 1 | 750,000$ | |||
| 8 | Will Reilly | X | 100.00 | 76 | 73 | 83 | 63 | 73 | 54 | 57 | 46 | 25 | 37 | 40 | 61 | 38 | 44 | 44 | 51 | 50 | 56 | 0 | 26 | 2 | 700,000$ | ||||
| 9 | Patrick Holway | X | 100.00 | 80 | 84 | 69 | 66 | 84 | 43 | 43 | 44 | 25 | 34 | 39 | 62 | 37 | 44 | 44 | 50 | 50 | 55 | 0 | 27 | 2 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 74 | 71 | 79 | 68 | 74 | 63 | 69 | 54 | 28 | 47 | 44 | 62 | 38 | 49 | 49 | 55 | 50 | 60 | ||||||||||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Nolan Pratt | 62 | 77 | 76 | 66 | 68 | 63 | 80 | CAN | 45 | 1 | 700,000$ |
| 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 | Dylan Coghlan | Senators (OTT) | D | 18 | 12 | 7 | 19 | -13 | 23 | 5 | 76 | 18 | 35 | 10 | 33 | 34.29% | 51 | 356 | 19.80 | 7 | 0 | 7 | 18 | 26 | 0 | 0 | 0 | 0 | 11 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 1 | 1.07 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 2 |
| 2 | Dakota Mermis | Senators (OTT) | D | 18 | 4 | 10 | 14 | 2 | 10 | 0 | 53 | 14 | 14 | 5 | 15 | 28.57% | 25 | 208 | 11.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.34 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 |
| 3 | Jonas Rondbjerg | Senators | LW/RW | 9 | 9 | 3 | 12 | 4 | 9 | 5 | 16 | 17 | 40 | 9 | 33 | 22.50% | 14 | 132 | 14.70 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 6 | 0 | 0 | 0 | 1 | 1.81 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 1 |
| Statistiques d’équipe totales ou en moyenne | 45 | 25 | 20 | 45 | -7 | 42 | 10 | 145 | 49 | 89 | 24 | 81 | 28.09% | 90 | 697 | 15.50 | 7 | 0 | 7 | 18 | 28 | 0 | 0 | 0 | 0 | 15 | 1 | 1 | 33.33% | 6 | 0 | 0 | 0 | 2 | 1.29 | 0 | 0 | 0 | 0 | 2 | 4 | 4 | 4 | |||
| 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 | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cam Dineen | Senators (OTT) | D | 25 | 1998-06-18 | No | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Dakota Mermis | Senators (OTT) | D | 29 | 1994-01-05 | No | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
| Daniel Walcott | Senators (OTT) | LW/D | 29 | 1994-02-19 | Yes | 161 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Dylan Coghlan | Senators (OTT) | D | 25 | 1998-02-19 | No | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Kurtis MacDermid | Senators (OTT) | D | 29 | 1994-03-25 | No | 233 Lbs | 6 ft5 | Yes | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
| Lassi Thomson | Senators (OTT) | D | 23 | 2000-09-24 | No | 192 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,288,333$ | 1,288,333$ | 0$ | 0$ | No | 1,288,333$ | Lien | ||||||||
| Patrick Holway | Senators (OTT) | D | 27 | 1996-10-01 | No | 220 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
| Simon Lundmark | Senators (OTT) | D | 23 | 2000-10-08 | Yes | 201 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
| Will Reilly | Senators (OTT) | D | 26 | 1997-07-23 | No | 196 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 9 | 26.22 | 197 Lbs | 6 ft2 | 1.56 | 891,574$ |
| 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 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Dylan Coghlan | 40 | 1 | 2 | 2 | ||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Dakota Mermis | 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 | Dylan Coghlan | 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 | Dylan Coghlan | 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 | Dylan Coghlan | 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 | Dylan Coghlan | 60 | 1 | 2 | 2 | |
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Dylan Coghlan | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Dylan Coghlan | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , Dakota Mermis, | Dakota Mermis, | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , , , , , , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| , Dylan Coghlan, , , |
| 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 |
| 1 | Bears | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 11 | 22 | 33 | 0 | 0 | 25 | 27 | 14 | 1 | 94 | 170 | 181 | 161 | 3 | 57 | 14 | 0 | 49 | 5 | 2 | 40.00% | 0 | 0 | 0.00% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 2 | Bruins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 19 | -17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 25 | 27 | 14 | 1 | 29 | 170 | 181 | 161 | 3 | 108 | 24 | 19 | 21 | 7 | 1 | 14.29% | 6 | 2 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 3 | Checkers | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 14 | 3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 4 | 0.667 | 17 | 32 | 49 | 0 | 0 | 25 | 27 | 14 | 1 | 120 | 170 | 181 | 161 | 3 | 120 | 42 | 14 | 64 | 4 | 1 | 25.00% | 7 | 4 | 42.86% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 4 | Penguins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 9 | 16 | 25 | 0 | 0 | 25 | 27 | 14 | 1 | 50 | 170 | 181 | 161 | 3 | 73 | 33 | 5 | 47 | 5 | 1 | 20.00% | 0 | 0 | 0.00% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 5 | Phantoms | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 25 | 27 | 14 | 1 | 56 | 170 | 181 | 161 | 3 | 83 | 25 | 8 | 25 | 9 | 4 | 44.44% | 3 | 1 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 6 | Sound Tigers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 25 | 27 | 14 | 1 | 85 | 170 | 181 | 161 | 3 | 70 | 26 | 12 | 62 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 7 | Thunderbirds | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 13 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | -9 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 25 | 27 | 14 | 1 | 37 | 170 | 181 | 161 | 3 | 98 | 32 | 17 | 36 | 8 | 1 | 12.50% | 6 | 2 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| 8 | Wolf Pack | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 16 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 8 | 14 | 22 | 0 | 0 | 25 | 27 | 14 | 1 | 44 | 170 | 181 | 161 | 3 | 96 | 22 | 12 | 32 | 14 | 3 | 21.43% | 6 | 0 | 100.00% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 |
| Total | 18 | 5 | 12 | 0 | 1 | 0 | 0 | 0 | 67 | 101 | -34 | 9 | 3 | 5 | 0 | 1 | 0 | 0 | 0 | 41 | 46 | -5 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 55 | -29 | 12 | 0.333 | 67 | 125 | 192 | 0 | 0 | 25 | 27 | 14 | 1 | 515 | 170 | 181 | 161 | 3 | 705 | 218 | 87 | 336 | 55 | 14 | 25.45% | 33 | 11 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 | |
| _Since Last GM Reset | 18 | 5 | 12 | 0 | 1 | 0 | 0 | 0 | 67 | 101 | -34 | 9 | 3 | 5 | 0 | 1 | 0 | 0 | 0 | 41 | 46 | -5 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 55 | -29 | 12 | 0.333 | 67 | 125 | 192 | 0 | 0 | 25 | 27 | 14 | 1 | 515 | 170 | 181 | 161 | 3 | 705 | 218 | 87 | 336 | 55 | 14 | 25.45% | 33 | 11 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 | |
| _Vs Conference | 18 | 5 | 12 | 0 | 1 | 0 | 0 | 0 | 67 | 101 | -34 | 9 | 3 | 5 | 0 | 1 | 0 | 0 | 0 | 41 | 46 | -5 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 55 | -29 | 12 | 0.333 | 67 | 125 | 192 | 0 | 0 | 25 | 27 | 14 | 1 | 515 | 170 | 181 | 161 | 3 | 705 | 218 | 87 | 336 | 55 | 14 | 25.45% | 33 | 11 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 | |
| _Vs Division | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 32 | -28 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 20 | -18 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 25 | 27 | 14 | 1 | 66 | 170 | 181 | 161 | 3 | 206 | 56 | 36 | 57 | 15 | 2 | 13.33% | 12 | 4 | 66.67% | 0 | 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% | 364 | 261 | 516 | 114 | 200 | 93 | |
| 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 |
| 18 | 12 | W1 | 67 | 125 | 192 | 515 | 705 | 218 | 87 | 336 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 18 | 5 | 12 | 1 | 0 | 0 | 0 | 67 | 101 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 3 | 5 | 1 | 0 | 0 | 0 | 41 | 46 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 2 | 7 | 0 | 0 | 0 | 0 | 26 | 55 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 3 | 7 | 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 |
|---|---|---|---|---|---|---|
| 55 | 14 | 25.45% | 33 | 11 | 66.67% | 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 |
|---|---|---|---|---|---|---|---|
| 170 | 181 | 161 | 3 | 25 | 27 | 14 | 1 |
| 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 |
| 176 | 421 | 41.81% | 160 | 445 | 35.96% | 126 | 325 | 38.77% |
| 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 |
| 364 | 261 | 516 | 114 | 200 | 93 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 40 | 0 |
| Assistance | 0 | 0 |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
| 0$ | 802,416$ | 802,416$ | 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 |
|---|