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Manitoba Manitoba 24-12-3, 51pts · 4th in Conference Ouest |
Manitoba | |
GP: 39 | W: 24 | L: 12 | OTL: 3 | P: 51 GF: 73 | GA: 60 | PP%: 20.67% | PK%: 78.01% DG: Frederic Jannelle | Morale : 68 | Moyenne d’équipe : N/A Prochains matchs #637 vs Milwaukee |
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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 | Jake Leschyshyn | X | 100.00 | 69 | 66 | 77 | 72 | 66 | 64 | 67 | 57 | 71 | 52 | 56 | 62 | 53 | 54 | 54 | 60 | 60 | 0 | 0 | 24 | 2 | 766,667$ | ||||
2 | Valtteri Puustinen (R) | X | X | 100.00 | 71 | 42 | 95 | 78 | 62 | 59 | 90 | 74 | 31 | 74 | 59 | 65 | 25 | 49 | 49 | 67 | 60 | 0 | 0 | 24 | 1 | 775,000$ | |||
3 | Jesper Fast | X | 100.00 | 76 | 44 | 92 | 76 | 71 | 63 | 94 | 63 | 38 | 64 | 58 | 72 | 75 | 76 | 80 | 67 | 26 | 0 | 0 | 31 | 2 | 2,400,000$ | ||||
4 | Cole Guttman | X | 100.00 | 63 | 62 | 91 | 66 | 60 | 63 | 77 | 79 | 64 | 62 | 68 | 69 | 25 | 47 | 47 | 69 | 60 | 0 | 0 | 24 | 1 | 950,000$ | ||||
5 | Georgi Merkulov | X | 100.00 | 73 | 66 | 90 | 75 | 66 | 70 | 71 | 66 | 50 | 63 | 66 | 64 | 63 | 44 | 44 | 67 | 60 | 0 | 0 | 22 | 2 | 925,000$ | ||||
6 | Daniil Gushchin (R) | X | 100.00 | 67 | 58 | 87 | 67 | 58 | 78 | 81 | 67 | 50 | 65 | 65 | 61 | 62 | 44 | 44 | 67 | 60 | 0 | 0 | 21 | 2 | 902,500$ | ||||
7 | Victor Soderstrom | X | 100.00 | 72 | 67 | 83 | 78 | 67 | 80 | 86 | 56 | 25 | 48 | 49 | 62 | 47 | 49 | 49 | 60 | 60 | 0 | 0 | 22 | 1 | 863,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Justin Bailey (R) | X | HO | 78 | 45 | 96 | 75 | 80 | 59 | 83 | 64 | 35 | 62 | 58 | 69 | 63 | 59 | 59 | 65 | 47 | 0 | 0 | 28 | 1 | 775,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 71 | 56 | 89 | 73 | 66 | 67 | 81 | 66 | 46 | 61 | 60 | 66 | 52 | 53 | 53 | 65 | 54 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
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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 |
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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 | 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 |
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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 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 | 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 |
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Cole Guttman | Manitoba (VAN) | C | 24 | 1999-06-04 | No | 163 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 950,000$ | 460,606$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Daniil Gushchin | Manitoba (VAN) | LW | 21 | 2002-06-02 | Yes | 165 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 902,500$ | 437,576$ | 0$ | 0$ | No | 902,500$ | Lien | ||||||||
Georgi Merkulov | Manitoba (VAN) | LW | 22 | 2000-10-10 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Jake Leschyshyn | Manitoba (VAN) | C | 24 | 1999-03-10 | No | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 766,667$ | 371,717$ | 0$ | 0$ | No | 766,667$ | Lien / Lien NHL | ||||||||
Jesper Fast | Manitoba (VAN) | RW | 31 | 1991-12-02 | No | 191 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 2,400,000$ | 1,163,636$ | 0$ | 0$ | No | 2,400,000$ | Lien / Lien NHL | ||||||||
Justin Bailey | Manitoba (VAN) | RW | 28 | 1995-07-01 | Yes | 213 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien | |||||||||
Valtteri Puustinen | Manitoba (VAN) | LW/RW | 24 | 1999-06-04 | Yes | 178 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien | |||||||||
Victor Soderstrom | Manitoba (VAN) | D | 22 | 2001-02-26 | No | 183 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 863,333$ | 418,586$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
8 | 24.50 | 182 Lbs | 5 ft11 | 1.50 | 1,044,688$ |
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 | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
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 | Albany | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 24 | 37 | 13 | 8 | 96 | 187 | 190 | 50 | 10 | 3 | 18 | 6 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
2 | Binghamton | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 3 | 24 | 37 | 13 | 3 | 96 | 187 | 190 | 50 | 17 | 5 | 13 | 4 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
3 | Bridgeport | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 3 | 24 | 37 | 13 | 27 | 96 | 187 | 190 | 50 | 20 | 8 | 107 | 8 | 7 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
4 | Charlotte Checkers | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 3 | 24 | 37 | 13 | 7 | 96 | 187 | 190 | 50 | 13 | 6 | 7 | 7 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
5 | Chicago Wolf | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 3 | 24 | 37 | 13 | 8 | 96 | 187 | 190 | 50 | 13 | 5 | 13 | 10 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
6 | Grand Rapids | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0.250 | 2 | 3 | 5 | 0 | 0 | 3 | 24 | 37 | 13 | 14 | 96 | 187 | 190 | 50 | 28 | 8 | 282 | 17 | 3 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
7 | Hamilton | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 3 | 24 | 37 | 13 | 10 | 96 | 187 | 190 | 50 | 9 | 3 | 40 | 4 | 8 | 2 | 25.00% | 0 | 0 | 0.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
8 | Hartford | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 3 | 24 | 37 | 13 | 8 | 96 | 187 | 190 | 50 | 13 | 4 | 47 | 5 | 3 | 2 | 66.67% | 6 | 2 | 66.67% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
9 | Hersey | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 24 | 37 | 13 | 5 | 96 | 187 | 190 | 50 | 18 | 4 | 90 | 7 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
10 | Houston | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 7 | 12 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 0.333 | 7 | 12 | 19 | 1 | 0 | 3 | 24 | 37 | 13 | 43 | 96 | 187 | 190 | 50 | 37 | 10 | 198 | 13 | 17 | 4 | 23.53% | 9 | 4 | 55.56% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
11 | Iowa | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 3 | 24 | 37 | 13 | 29 | 96 | 187 | 190 | 50 | 24 | 13 | 118 | 10 | 12 | 3 | 25.00% | 9 | 1 | 88.89% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
12 | Lake Erie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 3 | 24 | 37 | 13 | 41 | 96 | 187 | 190 | 50 | 35 | 13 | 33 | 12 | 10 | 1 | 10.00% | 4 | 2 | 50.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
13 | Manchester | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 2 | 4 | 0 | 0 | 3 | 24 | 37 | 13 | 14 | 96 | 187 | 190 | 50 | 14 | 3 | 11 | 8 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
14 | Milwaukee | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 24 | 37 | 13 | 18 | 96 | 187 | 190 | 50 | 12 | 4 | 61 | 6 | 6 | 2 | 33.33% | 3 | 1 | 66.67% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
15 | Norfolk | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.500 | 0 | 0 | 0 | 0 | 0 | 3 | 24 | 37 | 13 | 14 | 96 | 187 | 190 | 50 | 5 | 3 | 10 | 4 | 4 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
16 | Peroria | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 3 | 24 | 37 | 13 | 13 | 96 | 187 | 190 | 50 | 16 | 5 | 30 | 2 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
17 | Philadelphie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 3 | 24 | 37 | 13 | 21 | 96 | 187 | 190 | 50 | 18 | 6 | 37 | 12 | 4 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
18 | Portland | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 3 | 24 | 37 | 13 | 14 | 96 | 187 | 190 | 50 | 16 | 5 | 43 | 4 | 9 | 4 | 44.44% | 4 | 1 | 75.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
19 | Providence | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 3 | 24 | 37 | 13 | 17 | 96 | 187 | 190 | 50 | 10 | 2 | 23 | 1 | 9 | 1 | 11.11% | 4 | 1 | 75.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
20 | Quad City | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 6 | 6 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 5 | 0.625 | 6 | 10 | 16 | 0 | 1 | 3 | 24 | 37 | 13 | 54 | 96 | 187 | 190 | 50 | 60 | 18 | 61 | 16 | 17 | 2 | 11.76% | 18 | 3 | 83.33% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
21 | Rochester | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 3 | 24 | 37 | 13 | 7 | 96 | 187 | 190 | 50 | 17 | 5 | 39 | 5 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
22 | Rockford Icehogs | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 3 | 24 | 37 | 13 | 14 | 96 | 187 | 190 | 50 | 11 | 2 | 13 | 6 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
23 | Springfield | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 3 | 24 | 37 | 13 | 12 | 96 | 187 | 190 | 50 | 22 | 5 | 8 | 4 | 7 | 1 | 14.29% | 3 | 3 | 0.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
24 | Syracuse | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 3 | 24 | 37 | 13 | 34 | 96 | 187 | 190 | 50 | 21 | 4 | 30 | 10 | 7 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
25 | Toronto | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 3 | 24 | 37 | 13 | 34 | 96 | 187 | 190 | 50 | 21 | 5 | 29 | 18 | 10 | 2 | 20.00% | 7 | 1 | 85.71% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
26 | Wilkes Barre | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 3 | 24 | 37 | 13 | 21 | 96 | 187 | 190 | 50 | 22 | 6 | 24 | 14 | 14 | 6 | 42.86% | 7 | 1 | 85.71% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
Total | 39 | 15 | 12 | 0 | 3 | 2 | 6 | 1 | 73 | 60 | 13 | 20 | 9 | 7 | 0 | 0 | 1 | 2 | 1 | 34 | 31 | 3 | 19 | 6 | 5 | 0 | 3 | 1 | 4 | 0 | 39 | 29 | 10 | 51 | 0.654 | 73 | 131 | 204 | 1 | 9 | 3 | 24 | 37 | 13 | 490 | 96 | 187 | 190 | 50 | 502 | 155 | 1385 | 213 | 179 | 37 | 20.67% | 141 | 31 | 78.01% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 | |
_Since Last GM Reset | 39 | 15 | 12 | 0 | 3 | 2 | 6 | 1 | 73 | 60 | 13 | 20 | 9 | 7 | 0 | 0 | 1 | 2 | 1 | 34 | 31 | 3 | 19 | 6 | 5 | 0 | 3 | 1 | 4 | 0 | 39 | 29 | 10 | 51 | 0.654 | 73 | 131 | 204 | 1 | 9 | 3 | 24 | 37 | 13 | 490 | 96 | 187 | 190 | 50 | 502 | 155 | 1385 | 213 | 179 | 37 | 20.67% | 141 | 31 | 78.01% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 | |
_Vs Conference | 23 | 8 | 7 | 0 | 2 | 1 | 4 | 1 | 47 | 44 | 3 | 12 | 4 | 4 | 0 | 0 | 1 | 2 | 1 | 18 | 22 | -4 | 11 | 4 | 3 | 0 | 2 | 0 | 2 | 0 | 29 | 22 | 7 | 30 | 0.652 | 47 | 85 | 132 | 1 | 3 | 3 | 24 | 37 | 13 | 312 | 96 | 187 | 190 | 50 | 327 | 100 | 985 | 122 | 106 | 22 | 20.75% | 84 | 21 | 75.00% | 0 | 255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% | 1010 | 738 | 901 | 259 | 470 | 241 |
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 |
39 | 51 | SOL1 | 73 | 131 | 204 | 490 | 502 | 155 | 1385 | 213 | 1 | 9 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
39 | 15 | 12 | 3 | 2 | 6 | 1 | 73 | 60 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 9 | 7 | 0 | 1 | 2 | 1 | 34 | 31 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 6 | 5 | 3 | 1 | 4 | 0 | 39 | 29 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 5 | 0 | 1 | 0 | 1 |
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 |
---|---|---|---|---|---|---|
179 | 37 | 20.67% | 141 | 31 | 78.01% | 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 |
---|---|---|---|---|---|---|---|
96 | 187 | 190 | 50 | 3 | 24 | 37 | 13 |
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 |
255 | 500 | 51.00% | 222 | 453 | 49.01% | 252 | 541 | 46.58% |
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 |
1010 | 738 | 901 | 259 | 470 | 241 |
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 |
17 | 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 |
4,164,677$ | 8,357,500$ | 8,357,500$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 4,164,677$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 63,314$ | 4,052,096$ |
# | 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 |
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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 |
# | 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 |
---|