Monsters | |
GP: 10 | W: 4 | L: 4 | OTL: 2 | P: 10 GF: 50 | GA: 58 | PP%: 72.00% | PK%: 66.67% DG: Dave Langevin | Morale : 49 | Moyenne d’équipe : 72 Prochains matchs #131 vs Dynamos |
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Priority | Type | Description |
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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 | Ondrej Palat | X | X | 100.00 | 83 | 65 | 89 | 88 | 84 | 78 | 79 | 74 | 50 | 75 | 72 | 74 | 50 | 91 | 88 | 0 | 54 | 73 | 0 | 34 | 3 | 2,250,000$ | |||
2 | Yakov Trenin (R) | X | 99.00 | 93 | 61 | 89 | 83 | 87 | 76 | 84 | 68 | 61 | 63 | 72 | 85 | 50 | 73 | 75 | 0 | 51 | 70 | 0 | 28 | 1 | 1,700,000$ | ||||
3 | Brian Dumoulin | X | 99.00 | 76 | 68 | 94 | 82 | 85 | 81 | 90 | 67 | 50 | 66 | 67 | 75 | 50 | 84 | 83 | 0 | 51 | 72 | N | 0 | 33 | 2 | 1,500,000$ | |||
4 | Mike Reilly | X | 99.00 | 74 | 59 | 89 | 85 | 83 | 81 | 69 | 73 | 50 | 76 | 69 | 64 | 50 | 76 | 76 | 0 | 51 | 71 | 0 | 31 | 1 | 950,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 99.25 | 82 | 63 | 90 | 85 | 85 | 79 | 81 | 71 | 53 | 70 | 70 | 75 | 50 | 81 | 81 | 0 | 52 | 72 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 85 | 83 | 86 | 92 | 71 | 71 | 99 | CAN | 51 | 1 | 600,000$ |
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 | Mike Reilly | Monsters (FGI) | D | 10 | 8 | 20 | 28 | -8 | 0 | 0 | 14 | 10 | 92 | 21 | 42 | 8.70% | 9 | 242 | 24.27 | 7 | 7 | 14 | 12 | 8 | 0 | 1 | 1 | 0 | 14 | 1 | 0 | 0% | 0 | 20 | 10 | 0 | 1 | 2.31 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
2 | Yakov Trenin | Monsters (FGI) | C | 10 | 12 | 11 | 23 | -5 | 0 | 0 | 21 | 12 | 103 | 32 | 67 | 11.65% | 6 | 229 | 22.96 | 4 | 6 | 10 | 5 | 12 | 1 | 1 | 2 | 1 | 4 | 1 | 1 | 65.17% | 201 | 25 | 8 | 0 | 1 | 2.00 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 0 |
3 | Brian Dumoulin | Monsters (FGI) | D | 10 | 6 | 16 | 22 | -8 | 0 | 0 | 21 | 17 | 50 | 23 | 24 | 12.00% | 13 | 244 | 24.43 | 3 | 6 | 9 | 4 | 8 | 0 | 1 | 1 | 3 | 14 | 1 | 0 | 0% | 0 | 7 | 14 | 0 | 0 | 1.80 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 |
Statistiques d’équipe totales ou en moyenne | 30 | 26 | 47 | 73 | -21 | 0 | 0 | 56 | 39 | 245 | 76 | 133 | 10.61% | 28 | 716 | 23.89 | 14 | 19 | 33 | 21 | 29 | 1 | 3 | 4 | 4 | 32 | 3 | 1 | 65.17% | 201 | 52 | 32 | 0 | 2 | 2.04 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 6 |
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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
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Brian Dumoulin | Monsters (FGI) | D | 33 | 1991-09-06 | USA | No | 207 Lbs | 6 ft4 | Yes | No | Free Agent | No | No | 2 | 2025-05-02 | False | False | Pro & Farm | 1,500,000$ | 1,316,327$ | 0$ | 0$ | No | 1,500,000$ | - | - | - | - | - | - | - | - | 1,500,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | Lien | |
Mike Reilly | Monsters (FGI) | D | 31 | 1993-07-13 | USA | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 833,673$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ondrej Palat | Monsters (FGI) | LW/RW | 34 | 1991-03-28 | CZE | No | 194 Lbs | 6 ft0 | No | No | Free Agent | No | No | 3 | 2024-04-01 | False | False | Pro & Farm | 2,250,000$ | 1,974,490$ | 0$ | 0$ | No | 2,250,000$ | 2,250,000$ | - | - | - | - | - | - | - | 2,250,000$ | 2,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Yakov Trenin | Monsters (FGI) | C | 28 | 1997-01-13 | RUS | Yes | 201 Lbs | 6 ft2 | No | No | Free Agent | No | No | 1 | 2024-03-03 | False | False | Pro & Farm | 1,700,000$ | 1,491,837$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
4 | 31.50 | 199 Lbs | 6 ft2 | 1.75 | 1,600,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Yakov Trenin | 40 | 1 | 2 | 2 | ||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | Yakov Trenin | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brian Dumoulin | Mike Reilly | 40 | 1 | 2 | 2 | |
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | Brian Dumoulin | Mike Reilly | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Yakov Trenin | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brian Dumoulin | Mike Reilly | 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 | Yakov Trenin | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brian Dumoulin | Mike Reilly | 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 | Brian Dumoulin | Mike Reilly | 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 | Yakov Trenin | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brian Dumoulin | Mike Reilly | 60 | 1 | 2 | 2 |
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Yakov Trenin | Brian Dumoulin | Mike Reilly |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Yakov Trenin | Brian Dumoulin | Mike Reilly |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Yakov Trenin, , | Yakov Trenin, |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Brian Dumoulin, Mike Reilly, | Brian Dumoulin | Mike Reilly, |
Tirs de pénalité |
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, , Yakov Trenin, , |
Gardien |
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#1 : , #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Destroyers | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 23 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 0 | 0.000 | 13 | 23 | 36 | 0 | 0 | 8 | 23 | 18 | 1 | 124 | 128 | 153 | 131 | 1 | 134 | 46 | 10 | 47 | 5 | 3 | 60.00% | 5 | 3 | 40.00% | 0 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
2 | Falcons | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 8 | 23 | 18 | 1 | 47 | 128 | 153 | 131 | 1 | 43 | 9 | 6 | 19 | 1 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
3 | Guerriers du Nord | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 7 | 11 | 0 | 0 | 8 | 23 | 18 | 1 | 32 | 128 | 153 | 131 | 1 | 26 | 8 | 4 | 15 | 1 | 1 | 100.00% | 2 | 2 | 0.00% | 2 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
4 | Patriotes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 8 | 23 | 18 | 1 | 44 | 128 | 153 | 131 | 1 | 26 | 8 | 2 | 18 | 5 | 4 | 80.00% | 1 | 0 | 100.00% | 0 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
5 | Prospects | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 8 | 23 | 18 | 1 | 36 | 128 | 153 | 131 | 1 | 20 | 6 | 6 | 13 | 5 | 4 | 80.00% | 3 | 0 | 100.00% | 1 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
6 | Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 7 | 5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 12 | 20 | 32 | 0 | 0 | 8 | 23 | 18 | 1 | 88 | 128 | 153 | 131 | 1 | 42 | 16 | 6 | 40 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 2 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
7 | Wildcats | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 1 | 0.500 | 6 | 10 | 16 | 0 | 0 | 8 | 23 | 18 | 1 | 42 | 128 | 153 | 131 | 1 | 24 | 5 | 8 | 18 | 4 | 3 | 75.00% | 4 | 0 | 100.00% | 0 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
Total | 10 | 3 | 4 | 0 | 1 | 2 | 0 | 0 | 50 | 58 | -8 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 24 | 28 | -4 | 5 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 26 | 30 | -4 | 10 | 0.500 | 50 | 86 | 136 | 0 | 0 | 8 | 23 | 18 | 1 | 413 | 128 | 153 | 131 | 1 | 315 | 98 | 42 | 170 | 25 | 18 | 72.00% | 21 | 7 | 66.67% | 5 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 | |
_Since Last GM Reset | 10 | 3 | 4 | 0 | 1 | 2 | 0 | 0 | 50 | 58 | -8 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 24 | 28 | -4 | 5 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 26 | 30 | -4 | 10 | 0.500 | 50 | 86 | 136 | 0 | 0 | 8 | 23 | 18 | 1 | 413 | 128 | 153 | 131 | 1 | 315 | 98 | 42 | 170 | 25 | 18 | 72.00% | 21 | 7 | 66.67% | 5 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 | |
_Vs Conference | 8 | 2 | 4 | 0 | 1 | 1 | 0 | 0 | 37 | 47 | -10 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 17 | 24 | -7 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 23 | -3 | 7 | 0.438 | 37 | 65 | 102 | 0 | 0 | 8 | 23 | 18 | 1 | 335 | 128 | 153 | 131 | 1 | 271 | 87 | 28 | 139 | 16 | 11 | 68.75% | 14 | 7 | 50.00% | 4 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 | |
_Vs Division | 2 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 5 | 12 | -7 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 6 | 1.500 | 5 | 9 | 14 | 0 | 0 | 8 | 23 | 18 | 1 | 79 | 128 | 153 | 131 | 1 | 69 | 17 | 10 | 34 | 2 | 1 | 50.00% | 5 | 4 | 20.00% | 2 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
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 |
10 | 10 | OTL1 | 50 | 86 | 136 | 413 | 315 | 98 | 42 | 170 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 3 | 4 | 1 | 2 | 0 | 0 | 50 | 58 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 2 | 1 | 0 | 0 | 0 | 24 | 28 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 2 | 0 | 2 | 0 | 0 | 26 | 30 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 4 | 1 | 2 | 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 |
---|---|---|---|---|---|---|
25 | 18 | 72.00% | 21 | 7 | 66.67% | 5 |
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 |
---|---|---|---|---|---|---|---|
128 | 153 | 131 | 1 | 8 | 23 | 18 | 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 |
79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% |
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 |
232 | 146 | 205 | 81 | 164 | 82 |
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 | 35 | 15 |
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 |
36 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
143,433$ | 640,000$ | 640,000$ | 600,000$0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 69,968$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 129 | 8,435$ | 1,088,115$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 82 | 39 | 38 | 0 | 2 | 3 | 0 | 0 | 488 | 498 | -10 | 41 | 20 | 18 | 0 | 1 | 2 | 0 | 0 | 257 | 252 | 5 | 41 | 19 | 20 | 0 | 1 | 1 | 0 | 0 | 231 | 246 | -15 | 85 | 488 | 867 | 1355 | 0 | 1 | 105 | 179 | 202 | 2 | 2650 | 842 | 891 | 914 | 3 | 2760 | 915 | 700 | 1209 | 276 | 143 | 51.81% | 298 | 158 | 46.98% | 16 | 607 | 1296 | 46.84% | 602 | 1420 | 42.39% | 878 | 1985 | 44.23% | 1727 | 1044 | 1840 | 741 | 1359 | 645 |
2023 | 82 | 27 | 48 | 0 | 4 | 3 | 0 | 0 | 333 | 482 | -149 | 41 | 13 | 24 | 0 | 3 | 1 | 0 | 0 | 175 | 251 | -76 | 41 | 14 | 24 | 0 | 1 | 2 | 0 | 0 | 158 | 231 | -73 | 65 | 333 | 622 | 955 | 0 | 0 | 63 | 134 | 132 | 4 | 1949 | 486 | 662 | 793 | 8 | 2511 | 830 | 653 | 1196 | 234 | 108 | 46.15% | 294 | 161 | 45.24% | 10 | 473 | 1060 | 44.62% | 546 | 1221 | 44.72% | 800 | 1824 | 43.86% | 1630 | 898 | 1851 | 800 | 1450 | 679 |
2024 | 10 | 3 | 4 | 0 | 1 | 2 | 0 | 0 | 50 | 58 | -8 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 24 | 28 | -4 | 5 | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 26 | 30 | -4 | 10 | 50 | 86 | 136 | 0 | 0 | 8 | 23 | 18 | 1 | 413 | 128 | 153 | 131 | 1 | 315 | 98 | 42 | 170 | 25 | 18 | 72.00% | 21 | 7 | 66.67% | 5 | 79 | 168 | 47.02% | 65 | 122 | 53.28% | 115 | 206 | 55.83% | 232 | 146 | 205 | 81 | 164 | 82 |
Total Saison régulière | 174 | 69 | 90 | 0 | 7 | 8 | 0 | 0 | 871 | 1038 | -167 | 87 | 35 | 44 | 0 | 5 | 3 | 0 | 0 | 456 | 531 | -75 | 87 | 34 | 46 | 0 | 2 | 5 | 0 | 0 | 415 | 507 | -92 | 160 | 871 | 1575 | 2446 | 0 | 1 | 176 | 336 | 352 | 7 | 5012 | 1456 | 1706 | 1838 | 12 | 5586 | 1843 | 1395 | 2575 | 535 | 269 | 50.28% | 613 | 326 | 46.82% | 31 | 1159 | 2524 | 45.92% | 1213 | 2763 | 43.90% | 1793 | 4015 | 44.66% | 3590 | 2089 | 3898 | 1623 | 2974 | 1407 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 31 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 0 | 21 | 40 | 61 | 0 | 0 | 5 | 9 | 7 | 0 | 98 | 29 | 41 | 28 | 0 | 172 | 45 | 40 | 52 | 14 | 7 | 50.00% | 20 | 9 | 55.00% | 0 | 16 | 53 | 30.19% | 27 | 76 | 35.53% | 33 | 106 | 31.13% | 67 | 35 | 106 | 40 | 68 | 29 |
Total Séries éliminatoires | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 31 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 15 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 16 | -6 | 0 | 21 | 40 | 61 | 0 | 0 | 5 | 9 | 7 | 0 | 98 | 29 | 41 | 28 | 0 | 172 | 45 | 40 | 52 | 14 | 7 | 50.00% | 20 | 9 | 55.00% | 0 | 16 | 53 | 30.19% | 27 | 76 | 35.53% | 33 | 106 | 31.13% | 67 | 35 | 106 | 40 | 68 | 29 |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|