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Rochester Rochester 19-15-6, 44pts · 7th in Conference Est |
Rochester | |
GP: 40 | W: 19 | L: 15 | OTL: 6 | P: 44 GF: 53 | GA: 69 | PP%: 18.59% | PK%: 71.84% DG: Charles Gagné Fournier | Morale : 45 | Moyenne d’équipe : N/A Prochains matchs #641 vs Portland |
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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 | Jan Jenik | X | 100.00 | 70 | 68 | 76 | 74 | 68 | 63 | 64 | 62 | 78 | 59 | 60 | 62 | 57 | 46 | 46 | 63 | 60 | 0 | 0 | 23 | 1 | 775,000$ | ||||
2 | Sam Colangelo (R) | X | X | 100.00 | 83 | 76 | 99 | 59 | 76 | 52 | 49 | 66 | 80 | 68 | 61 | 69 | 58 | 44 | 44 | 66 | 60 | 0 | 0 | 21 | 1 | 545,000$ | |||
3 | Pierrick Dube (R) | X | 100.00 | 66 | 61 | 77 | 66 | 61 | 71 | 73 | 63 | 50 | 56 | 67 | 60 | 64 | 44 | 44 | 64 | 60 | 0 | 0 | 22 | 1 | 575,000$ | ||||
4 | Urho Vaakanainen | X | 100.00 | 71 | 43 | 88 | 78 | 73 | 72 | 64 | 64 | 25 | 54 | 47 | 85 | 25 | 59 | 59 | 63 | 60 | 0 | 0 | 24 | 2 | 850,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Cole Koepke | X | 100.00 | 77 | 71 | 91 | 63 | 71 | 78 | 82 | 64 | 50 | 59 | 65 | 66 | 62 | 46 | 46 | 67 | 20 | 0 | 0 | 25 | 1 | 775,000$ | ||||
2 | Jacob Moverare | X | 100.00 | 65 | 42 | 91 | 68 | 73 | 54 | 77 | 63 | 25 | 39 | 48 | 75 | 25 | 46 | 46 | 58 | 20 | 0 | 0 | 25 | 1 | 705,556$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 72 | 60 | 87 | 68 | 70 | 65 | 68 | 64 | 51 | 56 | 58 | 70 | 49 | 48 | 48 | 64 | 47 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mads Sogaard | 100.00 | 60 | 54 | 68 | 86 | 63 | 63 | 59 | 66 | 63 | 62 | 30 | 46 | 46 | 61 | 60 | 0 | 0 | 22 | 1 | 925,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 60 | 54 | 68 | 86 | 63 | 63 | 59 | 66 | 63 | 62 | 30 | 46 | 46 | 61 | 60 | 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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Cole Koepke | Rochester (FLA) | RW | 25 | 1998-05-17 | No | 194 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jacob Moverare | Rochester (FLA) | D | 25 | 1998-08-31 | No | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 705,556$ | 342,088$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jan Jenik | Rochester (FLA) | C | 23 | 2000-09-15 | No | 172 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Mads Sogaard | Rochester (FLA) | G | 22 | 2000-12-13 | No | 198 Lbs | 6 ft8 | No | No | No | 1 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Pierrick Dube | Rochester (FLA) | RW | 22 | 2001-01-07 | Yes | 172 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 575,000$ | 278,788$ | 0$ | 0$ | No | Lien | |||||||||
Sam Colangelo | Rochester (FLA) | C/RW | 21 | 2001-12-26 | Yes | 209 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 545,000$ | 264,242$ | 0$ | 0$ | No | Lien | |||||||||
Urho Vaakanainen | Rochester (FLA) | D | 24 | 1999-01-01 | No | 196 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 412,121$ | 0$ | 0$ | No | 850,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
7 | 23.14 | 191 Lbs | 6 ft2 | 1.14 | 735,794$ |
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 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 4 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 7 | 0.875 | 6 | 12 | 18 | 0 | 1 | 6 | 17 | 26 | 5 | 50 | 87 | 190 | 230 | 14 | 50 | 16 | 36 | 24 | 10 | 2 | 20.00% | 13 | 2 | 84.62% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
2 | Bridgeport | 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 | 6 | 17 | 26 | 5 | 9 | 87 | 190 | 230 | 14 | 11 | 4 | 25 | 8 | 4 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
3 | Charlotte Checkers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 17 | 26 | 5 | 15 | 87 | 190 | 230 | 14 | 13 | 5 | 19 | 4 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
4 | Chicago | 3 | 0 | 1 | 0 | 0 | 2 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 4 | -3 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 6 | 17 | 26 | 5 | 35 | 87 | 190 | 230 | 14 | 38 | 16 | 136 | 17 | 9 | 2 | 22.22% | 13 | 4 | 69.23% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
5 | Chicago Wolf | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.333 | 3 | 6 | 9 | 0 | 0 | 6 | 17 | 26 | 5 | 46 | 87 | 190 | 230 | 14 | 27 | 6 | 144 | 20 | 14 | 1 | 7.14% | 12 | 5 | 58.33% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
6 | Grand Rapids | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0.750 | 2 | 4 | 6 | 0 | 1 | 6 | 17 | 26 | 5 | 22 | 87 | 190 | 230 | 14 | 27 | 4 | 126 | 14 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
7 | Hamilton | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 6 | 17 | 26 | 5 | 5 | 87 | 190 | 230 | 14 | 20 | 3 | 2 | 7 | 2 | 2 | 100.00% | 1 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
8 | Hershey | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 6 | 17 | 26 | 5 | 20 | 87 | 190 | 230 | 14 | 10 | 5 | 76 | 8 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
9 | Houston | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 6 | 17 | 26 | 5 | 26 | 87 | 190 | 230 | 14 | 31 | 5 | 173 | 17 | 8 | 3 | 37.50% | 10 | 2 | 80.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
10 | Iowa | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 6 | 17 | 26 | 5 | 14 | 87 | 190 | 230 | 14 | 15 | 4 | 21 | 4 | 2 | 0 | 0.00% | 8 | 3 | 62.50% | 1 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
11 | Lake Erie | 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 | 6 | 17 | 26 | 5 | 16 | 87 | 190 | 230 | 14 | 19 | 3 | 64 | 12 | 7 | 1 | 14.29% | 2 | 1 | 50.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
12 | Manchester | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 6 | 17 | 26 | 5 | 12 | 87 | 190 | 230 | 14 | 13 | 8 | 105 | 4 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
13 | Manitoba | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 6 | 17 | 26 | 5 | 17 | 87 | 190 | 230 | 14 | 7 | 3 | 39 | 6 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
14 | Milwaukee | 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 | 6 | 17 | 26 | 5 | 12 | 87 | 190 | 230 | 14 | 9 | 3 | 66 | 4 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
15 | Norfolk | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.375 | 5 | 9 | 14 | 0 | 0 | 6 | 17 | 26 | 5 | 40 | 87 | 190 | 230 | 14 | 58 | 16 | 214 | 15 | 12 | 4 | 33.33% | 22 | 6 | 72.73% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
16 | Peroria | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 6 | 17 | 26 | 5 | 24 | 87 | 190 | 230 | 14 | 34 | 13 | 83 | 8 | 10 | 3 | 30.00% | 9 | 2 | 77.78% | 1 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
17 | Portland | 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 | 6 | 17 | 26 | 5 | 12 | 87 | 190 | 230 | 14 | 10 | 3 | 27 | 6 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
18 | Providence | 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 | 3 | 5 | 0 | 0 | 6 | 17 | 26 | 5 | 10 | 87 | 190 | 230 | 14 | 10 | 1 | 90 | 7 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
19 | Quad City | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 6 | 17 | 26 | 5 | 15 | 87 | 190 | 230 | 14 | 13 | 3 | 23 | 7 | 2 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
20 | Rochester | 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 | 6 | 17 | 26 | 5 | 16 | 87 | 190 | 230 | 14 | 9 | 2 | 26 | 3 | 6 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
21 | Rockford Icehogs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 6 | 17 | 26 | 5 | 11 | 87 | 190 | 230 | 14 | 14 | 5 | 2 | 4 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
22 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 6 | 17 | 26 | 5 | 36 | 87 | 190 | 230 | 14 | 55 | 23 | 59 | 9 | 13 | 3 | 23.08% | 12 | 8 | 33.33% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
23 | Syracuse | 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 | 6 | 17 | 26 | 5 | 17 | 87 | 190 | 230 | 14 | 7 | 2 | 11 | 7 | 6 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
24 | Wilkes Barre | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 6 | 17 | 26 | 5 | 28 | 87 | 190 | 230 | 14 | 17 | 2 | 86 | 12 | 5 | 1 | 20.00% | 3 | 2 | 33.33% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
25 | Worchester | 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 | 6 | 17 | 26 | 5 | 8 | 87 | 190 | 230 | 14 | 8 | 3 | 33 | 3 | 5 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 |
Total | 40 | 15 | 15 | 0 | 3 | 5 | 1 | 1 | 53 | 69 | -16 | 19 | 9 | 8 | 0 | 0 | 1 | 0 | 1 | 26 | 35 | -9 | 21 | 6 | 7 | 0 | 3 | 4 | 1 | 0 | 27 | 34 | -7 | 44 | 0.550 | 53 | 97 | 150 | 0 | 7 | 6 | 17 | 26 | 5 | 516 | 87 | 190 | 230 | 14 | 525 | 158 | 1686 | 230 | 156 | 29 | 18.59% | 174 | 49 | 71.84% | 2 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 | |
_Since Last GM Reset | 40 | 15 | 15 | 0 | 3 | 5 | 1 | 1 | 53 | 69 | -16 | 19 | 9 | 8 | 0 | 0 | 1 | 0 | 1 | 26 | 35 | -9 | 21 | 6 | 7 | 0 | 3 | 4 | 1 | 0 | 27 | 34 | -7 | 44 | 0.550 | 53 | 97 | 150 | 0 | 7 | 6 | 17 | 26 | 5 | 516 | 87 | 190 | 230 | 14 | 525 | 158 | 1686 | 230 | 156 | 29 | 18.59% | 174 | 49 | 71.84% | 2 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 238 | |
_Vs Conference | 21 | 8 | 7 | 0 | 1 | 4 | 1 | 0 | 27 | 29 | -2 | 10 | 5 | 4 | 0 | 0 | 1 | 0 | 0 | 15 | 14 | 1 | 11 | 3 | 3 | 0 | 1 | 3 | 1 | 0 | 12 | 15 | -3 | 24 | 0.571 | 27 | 50 | 77 | 0 | 3 | 6 | 17 | 26 | 5 | 259 | 87 | 190 | 230 | 14 | 250 | 71 | 835 | 121 | 68 | 14 | 20.59% | 85 | 21 | 75.29% | 0 | 249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% | 990 | 713 | 951 | 271 | 478 | 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 | 44 | L2 | 53 | 97 | 150 | 516 | 525 | 158 | 1686 | 230 | 0 | 7 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
40 | 15 | 15 | 3 | 5 | 1 | 1 | 53 | 69 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 9 | 8 | 0 | 1 | 0 | 1 | 26 | 35 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
21 | 6 | 7 | 3 | 4 | 1 | 0 | 27 | 34 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 8 | 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 |
---|---|---|---|---|---|---|
156 | 29 | 18.59% | 174 | 49 | 71.84% | 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 |
---|---|---|---|---|---|---|---|
87 | 190 | 230 | 14 | 6 | 17 | 26 | 5 |
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 |
249 | 530 | 46.98% | 253 | 546 | 46.34% | 233 | 476 | 48.95% |
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 |
990 | 713 | 951 | 271 | 478 | 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 |
18 | 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 |
2,653,292$ | 5,150,556$ | 5,150,556$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 2,653,292$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 39,019$ | 2,497,216$ |
# | 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 |
---|