Full Scoreboard »» |
Hartford Hartford 38-29-7, 83pts · 10th in Conference Est |
Hartford | |
GP: 74 | W: 38 | L: 29 | OTL: 7 | P: 83 GF: 106 | GA: 120 | PP%: 16.39% | PK%: 77.22% DG: Francois Beaulieu | Morale : 56 | Moyenne d’équipe : N/A |
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonah Gadjovich | X | 100.00 | 86 | 99 | 35 | 74 | 78 | 48 | 59 | 63 | 25 | 55 | 57 | 63 | 25 | 58 | 58 | 61 | 68 | 0 | 0 | 24 | 1 | 810,000$ | ||||
2 | Jakub Lauko | X | X | 100.00 | 94 | 67 | 84 | 75 | 66 | 55 | 76 | 65 | 38 | 61 | 56 | 70 | 25 | 55 | 56 | 65 | 68 | 0 | 0 | 23 | 2 | 787,500$ | |||
3 | Alexander Holtz | X | X | X | 100.00 | 65 | 42 | 94 | 80 | 70 | 59 | 75 | 70 | 34 | 62 | 72 | 58 | 25 | 57 | 57 | 69 | 68 | 0 | 0 | 21 | 1 | 925,000$ | ||
4 | Jiri Kulich (R) | X | X | 100.00 | 71 | 64 | 86 | 73 | 64 | 73 | 75 | 65 | 80 | 57 | 69 | 63 | 66 | 44 | 44 | 68 | 68 | 0 | 0 | 19 | 3 | 918,333$ | |||
5 | Luca Del Bel Belluz (R) | X | 100.00 | 74 | 66 | 94 | 64 | 66 | 64 | 65 | 60 | 75 | 59 | 56 | 63 | 53 | 44 | 44 | 62 | 68 | 0 | 0 | 19 | 1 | 545,000$ | ||||
6 | Jayden Struble (R) | X | 100.00 | 87 | 57 | 72 | 77 | 75 | 69 | 71 | 63 | 25 | 50 | 48 | 73 | 25 | 50 | 50 | 61 | 68 | 0 | 0 | 22 | 2 | 867,500$ | ||||
7 | Ryker Evans (R) | X | 100.00 | 82 | 44 | 83 | 73 | 70 | 77 | 82 | 74 | 25 | 56 | 48 | 68 | 25 | 47 | 47 | 62 | 68 | 0 | 0 | 21 | 2 | 897,500$ | ||||
8 | Jordan Spence | X | 100.00 | 73 | 42 | 94 | 80 | 62 | 64 | 83 | 73 | 25 | 64 | 48 | 64 | 25 | 56 | 57 | 63 | 68 | 0 | 0 | 22 | 1 | 820,000$ | ||||
9 | Thomas Harley | X | 100.00 | 71 | 43 | 92 | 82 | 71 | 82 | 93 | 69 | 25 | 69 | 60 | 77 | 25 | 58 | 59 | 71 | 68 | 0 | 0 | 22 | 1 | 863,333$ | ||||
10 | Tristan Luneau (R) | X | 100.00 | 76 | 70 | 89 | 76 | 70 | 50 | 51 | 50 | 25 | 47 | 39 | 62 | 37 | 44 | 44 | 53 | 68 | 0 | 0 | 19 | 3 | 896,667$ | ||||
11 | Jacob Bernard-Docker | X | 100.00 | 73 | 53 | 89 | 75 | 70 | 67 | 83 | 62 | 25 | 51 | 48 | 82 | 25 | 56 | 56 | 63 | 68 | 0 | 0 | 23 | 2 | 805,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 77 | 59 | 83 | 75 | 69 | 64 | 74 | 65 | 37 | 57 | 55 | 68 | 32 | 52 | 52 | 63 | 68 | 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 | Nico Daws | 100.00 | 61 | 56 | 55 | 84 | 65 | 56 | 69 | 62 | 65 | 61 | 78 | 48 | 48 | 62 | 68 | 0 | 0 | 22 | 1 | 850,833$ | |
2 | Dustin Wolf (R) | 100.00 | 60 | 65 | 62 | 55 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 45 | 45 | 62 | 68 | 0 | 0 | 22 | 1 | 825,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 61 | 61 | 59 | 70 | 65 | 55 | 69 | 62 | 65 | 61 | 77 | 47 | 47 | 62 | 68 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 |
---|
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 |
---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Holtz | Hartford (NEW) | C/LW/RW | 21 | 2002-01-23 | No | 191 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Dustin Wolf | Hartford (NEW) | G | 22 | 2001-04-16 | Yes | 154 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Jacob Bernard-Docker | Hartford (NEW) | D | 23 | 2000-06-30 | No | 189 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 805,000$ | 0$ | 0$ | No | 805,000$ | Lien / Lien NHL | |||||||||
Jakub Lauko | Hartford (NEW) | LW/RW | 23 | 2000-03-28 | No | 178 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 787,500$ | 0$ | 0$ | No | 787,500$ | Lien / Lien NHL | |||||||||
Jayden Struble | Hartford (NEW) | D | 22 | 2001-09-08 | Yes | 205 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 867,500$ | 0$ | 0$ | No | 867,500$ | Lien | |||||||||
Jiri Kulich | Hartford (NEW) | C/LW | 19 | 2004-04-14 | Yes | 178 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 918,333$ | 0$ | 0$ | No | 918,333$ | 918,333$ | Lien | ||||||||
Jonah Gadjovich | Hartford (NEW) | RW | 24 | 1998-10-12 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 810,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Jordan Spence | Hartford (NEW) | D | 22 | 2001-02-24 | No | 174 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 820,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Luca Del Bel Belluz | Hartford (NEW) | C | 19 | 2003-11-10 | Yes | 179 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 545,000$ | 0$ | 0$ | No | Lien | ||||||||||
Nico Daws | Hartford (NEW) | G | 22 | 2000-12-22 | No | 205 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 850,833$ | 0$ | 0$ | No | Lien | ||||||||||
Ryker Evans | Hartford (NEW) | D | 21 | 2001-12-13 | Yes | 191 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 897,500$ | 0$ | 0$ | No | 897,500$ | Lien | |||||||||
Thomas Harley | Hartford (NEW) | D | 22 | 2001-08-18 | No | 187 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 863,333$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Tristan Luneau | Hartford (NEW) | D | 19 | 2004-01-12 | Yes | 189 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 896,667$ | 0$ | 0$ | No | 896,667$ | 896,667$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
13 | 21.46 | 186 Lbs | 6 ft1 | 1.62 | 831,667$ |
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 |
---|
, , , , |
Gardien |
---|
#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 14 | 45 | 36 | 12 | 36 | 199 | 325 | 434 | 43 | 19 | 2 | 43 | 13 | 15 | 2 | 13.33% | 14 | 4 | 71.43% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
2 | Binghamton | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 14 | 45 | 36 | 12 | 29 | 199 | 325 | 434 | 43 | 30 | 6 | 67 | 13 | 10 | 1 | 10.00% | 11 | 2 | 81.82% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
3 | Bridgeport | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 16 | -12 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 10 | -8 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 14 | 45 | 36 | 12 | 51 | 199 | 325 | 434 | 43 | 63 | 15 | 238 | 27 | 16 | 2 | 12.50% | 19 | 9 | 52.63% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
4 | Charlotte Checkers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 14 | 45 | 36 | 12 | 28 | 199 | 325 | 434 | 43 | 20 | 9 | 123 | 6 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
5 | Chicago | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 14 | 45 | 36 | 12 | 24 | 199 | 325 | 434 | 43 | 16 | 5 | 26 | 11 | 7 | 0 | 0.00% | 8 | 4 | 50.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
6 | Chicago Wolf | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 0.500 | 8 | 15 | 23 | 0 | 1 | 14 | 45 | 36 | 12 | 55 | 199 | 325 | 434 | 43 | 47 | 16 | 130 | 12 | 26 | 6 | 23.08% | 16 | 3 | 81.25% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
7 | Grand Rapids | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 14 | 45 | 36 | 12 | 29 | 199 | 325 | 434 | 43 | 32 | 5 | 131 | 12 | 13 | 1 | 7.69% | 7 | 1 | 85.71% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
8 | Hamilton | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 2 | 14 | 45 | 36 | 12 | 29 | 199 | 325 | 434 | 43 | 21 | 2 | 75 | 11 | 10 | 2 | 20.00% | 10 | 0 | 100.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
9 | Hersey | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 14 | 45 | 36 | 12 | 18 | 199 | 325 | 434 | 43 | 34 | 7 | 42 | 7 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
10 | Hershey | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 14 | 45 | 36 | 12 | 21 | 199 | 325 | 434 | 43 | 22 | 2 | 72 | 12 | 9 | 0 | 0.00% | 6 | 4 | 33.33% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
11 | Houston | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 14 | 45 | 36 | 12 | 13 | 199 | 325 | 434 | 43 | 32 | 11 | 127 | 8 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
12 | Iowa | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 14 | 45 | 36 | 12 | 23 | 199 | 325 | 434 | 43 | 24 | 5 | 30 | 11 | 7 | 2 | 28.57% | 5 | 0 | 100.00% | 1 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
13 | Lake Erie | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 14 | 45 | 36 | 12 | 35 | 199 | 325 | 434 | 43 | 33 | 9 | 46 | 9 | 10 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
14 | Lowell | 4 | 0 | 3 | 0 | 0 | 0 | 1 | 0 | 4 | 7 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 2 | 0.250 | 4 | 6 | 10 | 0 | 0 | 14 | 45 | 36 | 12 | 50 | 199 | 325 | 434 | 43 | 56 | 21 | 176 | 18 | 6 | 2 | 33.33% | 23 | 5 | 78.26% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
15 | Manchester | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 0 | 14 | 45 | 36 | 12 | 37 | 199 | 325 | 434 | 43 | 23 | 6 | 144 | 7 | 11 | 2 | 18.18% | 12 | 1 | 91.67% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
16 | Manitoba | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 3 | 0.750 | 3 | 5 | 8 | 0 | 0 | 14 | 45 | 36 | 12 | 30 | 199 | 325 | 434 | 43 | 24 | 9 | 49 | 13 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
17 | Milwaukee | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 4 | 1.000 | 5 | 9 | 14 | 0 | 1 | 14 | 45 | 36 | 12 | 30 | 199 | 325 | 434 | 43 | 16 | 7 | 69 | 14 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
18 | Norfolk | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 14 | 45 | 36 | 12 | 26 | 199 | 325 | 434 | 43 | 16 | 8 | 42 | 10 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
19 | Peroria | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 14 | 45 | 36 | 12 | 28 | 199 | 325 | 434 | 43 | 30 | 12 | 117 | 14 | 9 | 3 | 33.33% | 11 | 4 | 63.64% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
20 | Philadelphie | 6 | 4 | 0 | 0 | 1 | 1 | 0 | 0 | 10 | 5 | 5 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 3 | 1 | 11 | 0.917 | 10 | 20 | 30 | 0 | 2 | 14 | 45 | 36 | 12 | 83 | 199 | 325 | 434 | 43 | 79 | 34 | 117 | 35 | 26 | 5 | 19.23% | 11 | 1 | 90.91% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
21 | Portland | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 14 | 45 | 36 | 12 | 28 | 199 | 325 | 434 | 43 | 28 | 5 | 15 | 22 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
22 | Providence | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 14 | 45 | 36 | 12 | 26 | 199 | 325 | 434 | 43 | 32 | 6 | 52 | 11 | 8 | 2 | 25.00% | 11 | 1 | 90.91% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
23 | Quad City | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0.750 | 1 | 2 | 3 | 0 | 1 | 14 | 45 | 36 | 12 | 35 | 199 | 325 | 434 | 43 | 23 | 10 | 76 | 9 | 7 | 0 | 0.00% | 8 | 0 | 100.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
24 | Rochester | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 3 | 0.750 | 2 | 4 | 6 | 0 | 1 | 14 | 45 | 36 | 12 | 31 | 199 | 325 | 434 | 43 | 18 | 8 | 107 | 13 | 8 | 2 | 25.00% | 10 | 1 | 90.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
25 | Rochester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 14 | 45 | 36 | 12 | 21 | 199 | 325 | 434 | 43 | 22 | 9 | 53 | 10 | 10 | 1 | 10.00% | 10 | 3 | 70.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
26 | Rockford Icehogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 14 | 45 | 36 | 12 | 25 | 199 | 325 | 434 | 43 | 27 | 6 | 29 | 16 | 7 | 2 | 28.57% | 12 | 2 | 83.33% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
27 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 14 | 45 | 36 | 12 | 33 | 199 | 325 | 434 | 43 | 50 | 19 | 39 | 11 | 3 | 1 | 33.33% | 13 | 8 | 38.46% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
28 | Syracuse | 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 | 14 | 45 | 36 | 12 | 21 | 199 | 325 | 434 | 43 | 26 | 15 | 81 | 10 | 8 | 1 | 12.50% | 8 | 0 | 100.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
29 | Toronto | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 14 | 45 | 36 | 12 | 13 | 199 | 325 | 434 | 43 | 26 | 7 | 43 | 6 | 7 | 2 | 28.57% | 9 | 0 | 100.00% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
30 | Wilkes Barre | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 2 | 0.250 | 3 | 6 | 9 | 0 | 0 | 14 | 45 | 36 | 12 | 43 | 199 | 325 | 434 | 43 | 48 | 11 | 202 | 23 | 9 | 2 | 22.22% | 21 | 6 | 71.43% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
31 | Worchester | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 14 | 45 | 36 | 12 | 31 | 199 | 325 | 434 | 43 | 25 | 5 | 29 | 9 | 8 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
Total | 74 | 27 | 29 | 0 | 7 | 5 | 4 | 2 | 106 | 120 | -14 | 37 | 12 | 16 | 0 | 4 | 3 | 1 | 1 | 49 | 62 | -13 | 37 | 15 | 13 | 0 | 3 | 2 | 3 | 1 | 57 | 58 | -1 | 83 | 0.561 | 106 | 196 | 302 | 0 | 13 | 14 | 45 | 36 | 12 | 982 | 199 | 325 | 434 | 43 | 962 | 292 | 2590 | 403 | 299 | 49 | 16.39% | 316 | 72 | 77.22% | 1 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 | |
_Since Last GM Reset | 74 | 27 | 29 | 0 | 7 | 5 | 4 | 2 | 106 | 120 | -14 | 37 | 12 | 16 | 0 | 4 | 3 | 1 | 1 | 49 | 62 | -13 | 37 | 15 | 13 | 0 | 3 | 2 | 3 | 1 | 57 | 58 | -1 | 83 | 0.561 | 106 | 196 | 302 | 0 | 13 | 14 | 45 | 36 | 12 | 982 | 199 | 325 | 434 | 43 | 962 | 292 | 2590 | 403 | 299 | 49 | 16.39% | 316 | 72 | 77.22% | 1 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 | |
_Vs Conference | 42 | 15 | 20 | 0 | 2 | 1 | 3 | 1 | 57 | 69 | -12 | 21 | 9 | 11 | 0 | 1 | 0 | 0 | 0 | 31 | 36 | -5 | 21 | 6 | 9 | 0 | 1 | 1 | 3 | 1 | 26 | 33 | -7 | 42 | 0.500 | 57 | 105 | 162 | 0 | 8 | 14 | 45 | 36 | 12 | 538 | 199 | 325 | 434 | 43 | 515 | 152 | 1443 | 225 | 177 | 30 | 16.95% | 185 | 44 | 76.22% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 | |
_Vs Division | 16 | 7 | 12 | 0 | 1 | 1 | 1 | 0 | 23 | 17 | 6 | 8 | 5 | 6 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 8 | 2 | 6 | 0 | 1 | 1 | 1 | 0 | 16 | 7 | 9 | 19 | 0.594 | 23 | 42 | 65 | 0 | 5 | 14 | 45 | 36 | 12 | 204 | 199 | 325 | 434 | 43 | 197 | 51 | 570 | 86 | 76 | 12 | 15.79% | 74 | 9 | 87.84% | 0 | 452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% | 1842 | 1337 | 1762 | 503 | 887 | 439 |
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 |
74 | 83 | W3 | 106 | 196 | 302 | 982 | 962 | 292 | 2590 | 403 | 0 | 13 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 27 | 29 | 7 | 5 | 4 | 2 | 106 | 120 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 12 | 16 | 4 | 3 | 1 | 1 | 49 | 62 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 15 | 13 | 3 | 2 | 3 | 1 | 57 | 58 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
7 | 3 | 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 |
---|---|---|---|---|---|---|
299 | 49 | 16.39% | 316 | 72 | 77.22% | 1 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
199 | 325 | 434 | 43 | 14 | 45 | 36 | 12 |
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 |
452 | 923 | 48.97% | 465 | 939 | 49.52% | 463 | 936 | 49.47% |
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 |
1842 | 1337 | 1762 | 503 | 887 | 439 |
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 |
0 | 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 |
10,893,631$ | 10,811,666$ | 10,811,666$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 10,893,631$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 81,907$ | 0$ |
# | 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 |
---|
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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|