Brawlers | |
GP: 5 | W: 5 | L: 0 | OTL: 0 | P: 10 GF: 30 | GA: 11 | PP%: 16.67% | PK%: 81.25% DG: Hugues Blais | Morale : 53 | Moyenne d’équipe : 71 Prochains matchs #61 vs Patriotes |
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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 | Ilya Lyubushkin | X | 100.00 | 85 | 65 | 88 | 83 | 87 | 81 | 76 | 66 | 50 | 68 | 63 | 81 | 50 | 72 | 75 | 0 | 51 | 72 | N | 0 | 30 | 2 | 1,111,119$ | |||
Rayé | |||||||||||||||||||||||||||||
1 | Anthony Richard (R) | X | 100.00 | 90 | 59 | 90 | 81 | 79 | 75 | 40 | 70 | 50 | 68 | 71 | 71 | 50 | 64 | 67 | 0 | 41 | 68 | N | 0 | 27 | 1 | 999,999$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 88 | 62 | 89 | 82 | 83 | 78 | 58 | 68 | 50 | 68 | 67 | 76 | 50 | 68 | 71 | 0 | 46 | 70 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | David Rittich | 100.00 | 76 | 71 | 67 | 89 | 75 | 76 | 73 | 78 | 75 | 73 | 77 | 72 | 77 | 0 | 51 | 73 | N | 0 | 31 | 1 | 1,050,007$ |
2 | Spencer Martin | 100.00 | 78 | 75 | 73 | 86 | 76 | 78 | 74 | 75 | 72 | 74 | 70 | 68 | 70 | 0 | 55 | 72 | N | 0 | 28 | 2 | 900,000$ |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 77 | 73 | 70 | 88 | 76 | 77 | 74 | 77 | 74 | 74 | 74 | 70 | 74 | 0 | 53 | 73 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
David Quinn | 78 | 70 | 79 | 94 | 74 | 71 | 99 | USA | 57 | 1 | 550,000$ |
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 | Danton Heinen | Whalers | LW/RW | 3 | 4 | 4 | 8 | 6 | 0 | 0 | 4 | 3 | 31 | 8 | 18 | 12.90% | 0 | 77 | 25.77 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 3 | 6 | 2 | 0 | 100.00% | 2 | 8 | 9 | 0 | 0 | 2.07 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
2 | Anthony Richard | Brawlers (WHA) | C | 2 | 2 | 5 | 7 | 7 | 0 | 0 | 2 | 2 | 14 | 7 | 10 | 14.29% | 1 | 39 | 19.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 84.00% | 25 | 1 | 1 | 0 | 0 | 3.58 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
Statistiques d’équipe totales ou en moyenne | 5 | 6 | 9 | 15 | 13 | 0 | 0 | 6 | 5 | 45 | 15 | 28 | 13.33% | 1 | 116 | 23.28 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 3 | 7 | 2 | 0 | 85.19% | 27 | 9 | 10 | 0 | 0 | 2.58 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 1 |
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 | Spencer Martin | Brawlers (WHA) | 5 | 5 | 0 | 0 | 0.911 | 2.20 | 300 | 0 | 0 | 11 | 123 | 61 | 0 | 0 | 0 | 0 | 5 | 5 | 1 | 0 | 2 |
Statistiques d’équipe totales ou en moyenne | 5 | 5 | 0 | 0 | 0.911 | 2.20 | 300 | 0 | 0 | 11 | 123 | 61 | 0 | 0 | 0 | 5 | 5 | 1 | 0 | 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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
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Anthony Richard | Brawlers (WHA) | C | 27 | 1996-12-20 13:22:44 | Yes | 185 Lbs | 5 ft10 | Yes | No | Free Agent | No | No | 1 | 2024-03-25 | Pro & Farm | 999,999$ | 933,332$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
David Rittich | Brawlers (WHA) | G | 31 | 1992-08-19 06:01:10 | No | 206 Lbs | 6 ft3 | Yes | No | Free Agent | No | No | 1 | 2024-03-15 | Pro & Farm | 1,050,007$ | 980,007$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Ilya Lyubushkin | Brawlers (WHA) | D | 30 | 1994-04-06 17:49:50 | No | 201 Lbs | 6 ft2 | Yes | No | Free Agent | No | No | 2 | 2024-03-25 | Pro & Farm | 1,111,119$ | 1,037,044$ | 0$ | 0$ | No | 1,111,119$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | Lien | |
Spencer Martin | Brawlers (WHA) | G | 28 | 1995-06-08 04:46:43 | No | 191 Lbs | 6 ft3 | Yes | No | Free Agent | No | No | 2 | 2024-03-15 | Pro & Farm | 900,000$ | 840,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
4 | 29.00 | 196 Lbs | 6 ft2 | 1.50 | 1,015,281$ |
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 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 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 | 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 | 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 | 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 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : Spencer Martin |
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 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 2 | 10 | 18 | 0 | 26 | 36 | 40 | 73 | 0 | 25 | 8 | 6 | 8 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
2 | Prospects | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 10 | 18 | 0 | 26 | 36 | 40 | 73 | 0 | 29 | 7 | 6 | 18 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
3 | Senators | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 2 | 1.000 | 8 | 16 | 24 | 0 | 0 | 2 | 10 | 18 | 0 | 28 | 36 | 40 | 73 | 0 | 22 | 6 | 2 | 15 | 2 | 1 | 50.00% | 1 | 1 | 0.00% | 0 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
4 | Vikings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 2 | 10 | 18 | 0 | 36 | 36 | 40 | 73 | 0 | 27 | 5 | 12 | 14 | 3 | 0 | 0.00% | 6 | 0 | 100.00% | 1 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
5 | Youngblood | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 10 | 18 | 0 | 33 | 36 | 40 | 73 | 0 | 20 | 9 | 6 | 14 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
Total | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 11 | 19 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 6 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 10 | 1.000 | 30 | 56 | 86 | 0 | 0 | 2 | 10 | 18 | 0 | 149 | 36 | 40 | 73 | 0 | 123 | 35 | 32 | 69 | 12 | 2 | 16.67% | 16 | 3 | 81.25% | 1 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 | |
_Since Last GM Reset | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 11 | 19 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 6 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 10 | 1.000 | 30 | 56 | 86 | 0 | 0 | 2 | 10 | 18 | 0 | 149 | 36 | 40 | 73 | 0 | 123 | 35 | 32 | 69 | 12 | 2 | 16.67% | 16 | 3 | 81.25% | 1 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 | |
_Vs Conference | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 1.000 | 21 | 40 | 61 | 0 | 0 | 2 | 10 | 18 | 0 | 90 | 36 | 40 | 73 | 0 | 74 | 19 | 20 | 37 | 7 | 1 | 14.29% | 10 | 2 | 80.00% | 1 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
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 |
5 | 10 | W5 | 30 | 56 | 86 | 149 | 123 | 35 | 32 | 69 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 5 | 0 | 0 | 0 | 0 | 0 | 30 | 11 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 3 | 0 | 0 | 0 | 0 | 0 | 17 | 6 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 5 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
12 | 2 | 16.67% | 16 | 3 | 81.25% | 1 |
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 |
---|---|---|---|---|---|---|---|
36 | 40 | 73 | 0 | 2 | 10 | 18 | 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 |
31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% |
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 |
109 | 64 | 105 | 45 | 84 | 42 |
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 |
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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 |
38 | 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 |
63,295$ | 406,113$ | 406,113$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 26,629$ | 0 | 0 |
Estimation | |||
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Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 126 | 7,082$ | 892,332$ |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Miles Wood | 70 | 51 | 86 | 137 | 40 | 86 | 137 | 54 | 301 | 16.94% | 28 | 1425 | 20.36 | 19 | 34 | 53 | 40 | 0 | 0 | 0 | 0 | 5 | 0 | 54.46% | 2 | 1.92 | 0 | 0 |
2 | Jesper Froden | 42 | 51 | 59 | 110 | 9 | 10 | 50 | 62 | 285 | 17.89% | 43 | 933 | 22.23 | 28 | 20 | 48 | 41 | 1 | 4 | 5 | 6 | 4 | 1 | 73.33% | 5 | 2.36 | 0 | 0 |
3 | Danton Heinen | 21 | 46 | 27 | 73 | 27 | 5 | 24 | 22 | 211 | 21.80% | 11 | 505 | 24.07 | 11 | 7 | 18 | 13 | 3 | 0 | 3 | 9 | 4 | 2 | 52.00% | 7 | 2.89 | 0 | 0 |
4 | Josh Leivo | 25 | 34 | 37 | 71 | 35 | 0 | 26 | 37 | 165 | 20.61% | 20 | 548 | 21.95 | 10 | 9 | 19 | 16 | 0 | 1 | 1 | 0 | 5 | 1 | 64.08% | 6 | 2.59 | 0 | 0 |
5 | Adam Ruzicka | 36 | 21 | 41 | 62 | 39 | 55 | 38 | 44 | 117 | 17.95% | 13 | 635 | 17.66 | 10 | 18 | 28 | 18 | 0 | 0 | 0 | 0 | 2 | 0 | 54.03% | 1 | 1.95 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen | 18 | 17 | 1 | 0 | 0.899 | 3.18 | 1056 | 0 | 0 | 56 | 555 | 293 | 7 | 0 | 0 | 0 |
2 | Spencer Martin | 8 | 7 | 1 | 0 | 0.887 | 2.91 | 454 | 0 | 0 | 22 | 195 | 97 | 0 | 0 | 0 | 0 |
3 | David Rittich | 6 | 4 | 1 | 0 | 0.935 | 2.23 | 323 | 0 | 1 | 12 | 184 | 99 | 2 | 0 | 0 | 0 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | 31 | 41 | 0 | 5 | 5 | 0 | 0 | 443 | 464 | -21 | 41 | 22 | 15 | 0 | 2 | 2 | 0 | 0 | 248 | 205 | 43 | 41 | 9 | 26 | 0 | 3 | 3 | 0 | 0 | 195 | 259 | -64 | 77 | 443 | 800 | 1243 | 0 | 1 | 62 | 193 | 183 | 5 | 2342 | 631 | 810 | 894 | 7 | 2590 | 845 | 663 | 1168 | 259 | 137 | 52.90% | 305 | 157 | 48.52% | 20 | 525 | 1167 | 44.99% | 549 | 1295 | 42.39% | 836 | 1859 | 44.97% | 1679 | 983 | 1861 | 756 | 1385 | 651 |
2023 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 11 | 19 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 6 | 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 10 | 30 | 56 | 86 | 0 | 0 | 2 | 10 | 18 | 0 | 149 | 36 | 40 | 73 | 0 | 123 | 35 | 32 | 69 | 12 | 2 | 16.67% | 16 | 3 | 81.25% | 1 | 31 | 63 | 49.21% | 50 | 94 | 53.19% | 60 | 102 | 58.82% | 109 | 64 | 105 | 45 | 84 | 42 |
Total Saison régulière | 251 | 91 | 137 | 0 | 11 | 11 | 1 | 0 | 1305 | 1517 | -212 | 126 | 56 | 60 | 0 | 3 | 6 | 1 | 0 | 688 | 705 | -17 | 125 | 35 | 77 | 0 | 8 | 5 | 0 | 0 | 617 | 812 | -195 | 217 | 1305 | 2375 | 3680 | 0 | 2 | 200 | 542 | 551 | 13 | 7493 | 2028 | 2602 | 2848 | 30 | 8495 | 2774 | 1993 | 3791 | 721 | 368 | 51.04% | 930 | 512 | 44.95% | 38 | 1549 | 3580 | 43.27% | 1682 | 4048 | 41.55% | 2496 | 5830 | 42.81% | 5097 | 3007 | 5781 | 2294 | 4202 | 1968 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Séries éliminatoires | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 38 | 50 | -12 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 15 | 18 | -3 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 23 | 32 | -9 | 8 | 38 | 73 | 111 | 0 | 0 | 3 | 15 | 19 | 1 | 309 | 94 | 109 | 97 | 9 | 299 | 89 | 50 | 142 | 26 | 9 | 34.62% | 25 | 8 | 68.00% | 1 | 52 | 154 | 33.77% | 38 | 110 | 34.55% | 70 | 194 | 36.08% | 210 | 125 | 218 | 93 | 173 | 76 |
# | 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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