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Portland Portland 14-19-7, 35pts · 16th in Conference Ouest |
Portland | |
GP: 40 | W: 14 | L: 19 | OTL: 7 | P: 35 GF: 52 | GA: 73 | PP%: 15.86% | PK%: 79.89% DG: Joel Bourque | Morale : 30 | Moyenne d’équipe : N/A Prochains matchs #641 vs Rochester |
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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 | Jesper Boqvist | X | X | 100.00 | 80 | 44 | 94 | 85 | 67 | 58 | 91 | 65 | 48 | 63 | 64 | 69 | 25 | 64 | 65 | 68 | 60 | 0 | 0 | 24 | 1 | 775,000$ | |||
2 | Philip Broberg | X | 100.00 | 61 | 42 | 99 | 83 | 76 | 57 | 74 | 64 | 25 | 52 | 47 | 76 | 25 | 55 | 56 | 62 | 60 | 0 | 0 | 22 | 1 | 863,333$ | ||||
3 | Samuel Bolduc | X | 100.00 | 78 | 45 | 93 | 65 | 78 | 61 | 73 | 63 | 25 | 48 | 48 | 71 | 25 | 49 | 50 | 60 | 60 | 0 | 0 | 22 | 2 | 800,000$ | ||||
4 | Maxence Guenette (R) | X | 100.00 | 79 | 74 | 90 | 66 | 74 | 79 | 85 | 56 | 25 | 52 | 45 | 65 | 43 | 44 | 44 | 59 | 60 | 0 | 0 | 22 | 1 | 813,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Dillon Dube | X | X | X | 100.00 | 71 | 42 | 93 | 86 | 67 | 58 | 80 | 64 | 54 | 59 | 58 | 68 | 25 | 66 | 67 | 64 | 20 | 0 | 0 | 25 | 1 | 2,300,000$ | ||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 49 | 94 | 77 | 72 | 63 | 81 | 62 | 35 | 55 | 52 | 70 | 29 | 56 | 56 | 63 | 52 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
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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 | 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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Dillon Dube | Portland (ANA) | C/LW/RW | 25 | 1998-07-20 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 2,300,000$ | 1,115,152$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jesper Boqvist | Portland (ANA) | C/LW | 24 | 1998-10-30 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Maxence Guenette | Portland (ANA) | D | 22 | 2001-04-28 | Yes | 196 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 813,333$ | 394,343$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Philip Broberg | Portland (ANA) | D | 22 | 2001-06-25 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 863,333$ | 418,586$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Samuel Bolduc | Portland (ANA) | D | 22 | 2000-12-09 | No | 209 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 800,000$ | 387,879$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
5 | 23.00 | 194 Lbs | 6 ft2 | 1.20 | 1,110,333$ |
Attaque à 5 contre 5 | |||||||
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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 | |||||||||||
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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 | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
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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 : |
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 | Binghamton | 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 | 9 | 15 | 23 | 8 | 10 | 90 | 187 | 219 | 44 | 23 | 3 | 67 | 6 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
2 | Bridgeport | 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 | 9 | 15 | 23 | 8 | 10 | 90 | 187 | 219 | 44 | 10 | 4 | 11 | 2 | 5 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
3 | Charlotte Checkers | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 9 | 15 | 23 | 8 | 16 | 90 | 187 | 219 | 44 | 15 | 3 | 16 | 6 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
4 | Chicago | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 15 | 23 | 8 | 13 | 90 | 187 | 219 | 44 | 8 | 2 | 20 | 7 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
5 | Chicago Wolf | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | 23 | 8 | 9 | 90 | 187 | 219 | 44 | 9 | 2 | 12 | 4 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
6 | Grand Rapids | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 9 | 15 | 23 | 8 | 33 | 90 | 187 | 219 | 44 | 23 | 6 | 67 | 9 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
7 | Hamilton | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 15 | 23 | 8 | 14 | 90 | 187 | 219 | 44 | 12 | 2 | 27 | 7 | 7 | 1 | 14.29% | 0 | 0 | 0.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
8 | Hersey | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 4 | 0.500 | 5 | 8 | 13 | 0 | 1 | 9 | 15 | 23 | 8 | 40 | 90 | 187 | 219 | 44 | 52 | 14 | 89 | 19 | 11 | 1 | 9.09% | 17 | 4 | 76.47% | 1 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
9 | Hershey | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 6 | 0.750 | 8 | 15 | 23 | 0 | 3 | 9 | 15 | 23 | 8 | 45 | 90 | 187 | 219 | 44 | 45 | 16 | 263 | 33 | 16 | 7 | 43.75% | 19 | 1 | 94.74% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
10 | Houston | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 15 | 23 | 8 | 7 | 90 | 187 | 219 | 44 | 19 | 6 | 45 | 3 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
11 | Lowell | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 15 | 23 | 8 | 35 | 90 | 187 | 219 | 44 | 12 | 3 | 33 | 5 | 5 | 2 | 40.00% | 7 | 2 | 71.43% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
12 | Manchester | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 2 | 5 | -3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 3 | 0.500 | 2 | 4 | 6 | 0 | 1 | 9 | 15 | 23 | 8 | 40 | 90 | 187 | 219 | 44 | 40 | 17 | 89 | 20 | 14 | 1 | 7.14% | 12 | 2 | 83.33% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
13 | Manitoba | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 15 | 23 | 8 | 16 | 90 | 187 | 219 | 44 | 14 | 6 | 73 | 2 | 4 | 1 | 25.00% | 9 | 4 | 55.56% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
14 | Milwaukee | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 9 | 15 | 23 | 8 | 13 | 90 | 187 | 219 | 44 | 11 | 5 | 11 | 1 | 4 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
15 | Peroria | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 9 | 15 | 23 | 8 | 36 | 90 | 187 | 219 | 44 | 16 | 6 | 20 | 12 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
16 | Philadelphie | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 9 | 15 | 23 | 8 | 27 | 90 | 187 | 219 | 44 | 29 | 6 | 62 | 15 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 1 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
17 | Providence | 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 | 9 | 15 | 23 | 8 | 7 | 90 | 187 | 219 | 44 | 17 | 4 | 4 | 8 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
18 | Quad City | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | 23 | 8 | 6 | 90 | 187 | 219 | 44 | 15 | 7 | 18 | 3 | 1 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
19 | Rochester | 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 | 9 | 15 | 23 | 8 | 10 | 90 | 187 | 219 | 44 | 12 | 1 | 53 | 9 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
20 | Rockford Icehogs | 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 | 9 | 15 | 23 | 8 | 14 | 90 | 187 | 219 | 44 | 14 | 3 | 16 | 5 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
21 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 9 | 15 | 23 | 8 | 32 | 90 | 187 | 219 | 44 | 60 | 24 | 69 | 11 | 6 | 1 | 16.67% | 12 | 7 | 41.67% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
22 | Syracuse | 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 | 9 | 15 | 23 | 8 | 12 | 90 | 187 | 219 | 44 | 13 | 7 | 97 | 1 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
23 | Toronto | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 9 | 15 | 23 | 8 | 20 | 90 | 187 | 219 | 44 | 12 | 1 | 50 | 2 | 7 | 1 | 14.29% | 5 | 2 | 60.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
24 | Worchester | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 6 | 4 | 2 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 7 | 0.875 | 6 | 11 | 17 | 0 | 1 | 9 | 15 | 23 | 8 | 47 | 90 | 187 | 219 | 44 | 47 | 16 | 85 | 12 | 17 | 2 | 11.76% | 20 | 2 | 90.00% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
Total | 40 | 9 | 19 | 0 | 2 | 2 | 3 | 5 | 52 | 73 | -21 | 20 | 6 | 9 | 0 | 2 | 1 | 1 | 1 | 29 | 36 | -7 | 20 | 3 | 10 | 0 | 0 | 1 | 2 | 4 | 23 | 37 | -14 | 35 | 0.438 | 52 | 91 | 143 | 0 | 7 | 9 | 15 | 23 | 8 | 512 | 90 | 187 | 219 | 44 | 528 | 164 | 1297 | 202 | 145 | 23 | 15.86% | 179 | 36 | 79.89% | 2 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 | |
_Since Last GM Reset | 40 | 9 | 19 | 0 | 2 | 2 | 3 | 5 | 52 | 73 | -21 | 20 | 6 | 9 | 0 | 2 | 1 | 1 | 1 | 29 | 36 | -7 | 20 | 3 | 10 | 0 | 0 | 1 | 2 | 4 | 23 | 37 | -14 | 35 | 0.438 | 52 | 91 | 143 | 0 | 7 | 9 | 15 | 23 | 8 | 512 | 90 | 187 | 219 | 44 | 528 | 164 | 1297 | 202 | 145 | 23 | 15.86% | 179 | 36 | 79.89% | 2 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 | |
_Vs Conference | 24 | 6 | 9 | 0 | 2 | 1 | 2 | 4 | 32 | 45 | -13 | 12 | 5 | 3 | 0 | 2 | 0 | 1 | 1 | 22 | 22 | 0 | 12 | 1 | 6 | 0 | 0 | 1 | 1 | 3 | 10 | 23 | -13 | 25 | 0.521 | 32 | 55 | 87 | 0 | 4 | 9 | 15 | 23 | 8 | 312 | 90 | 187 | 219 | 44 | 339 | 120 | 695 | 104 | 80 | 9 | 11.25% | 111 | 24 | 78.38% | 1 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 | |
_Vs Division | 13 | 4 | 3 | 0 | 2 | 1 | 0 | 1 | 14 | 30 | -16 | 6 | 3 | 1 | 0 | 2 | 0 | 0 | 0 | 9 | 16 | -7 | 7 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 5 | 14 | -9 | 14 | 0.538 | 14 | 27 | 41 | 0 | 2 | 9 | 15 | 23 | 8 | 166 | 90 | 187 | 219 | 44 | 200 | 75 | 362 | 58 | 49 | 5 | 10.20% | 71 | 18 | 74.65% | 0 | 252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% | 1010 | 739 | 962 | 271 | 479 | 238 |
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 |
40 | 35 | L3 | 52 | 91 | 143 | 512 | 528 | 164 | 1297 | 202 | 0 | 7 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
40 | 9 | 19 | 2 | 2 | 3 | 5 | 52 | 73 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 6 | 9 | 2 | 1 | 1 | 1 | 29 | 36 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 3 | 10 | 0 | 1 | 2 | 4 | 23 | 37 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 6 | 0 | 0 | 0 | 2 |
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 |
---|---|---|---|---|---|---|
145 | 23 | 15.86% | 179 | 36 | 79.89% | 2 |
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 |
---|---|---|---|---|---|---|---|
90 | 187 | 219 | 44 | 9 | 15 | 23 | 8 |
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 |
252 | 482 | 52.28% | 257 | 497 | 51.71% | 260 | 525 | 49.52% |
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 | 739 | 962 | 271 | 479 | 238 |
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 |
2,859,944$ | 5,551,666$ | 5,551,666$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 2,859,944$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 42,058$ | 2,691,712$ |
# | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
# | 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 |
---|