San Jose Barracuda | |
GP: 5 | W: 1 | L: 4 GF: 6 | GA: 11 | PP%: 0.00% | PK%: 75.00% DG: David Chevrette | Morale : 50 | Moyenne d’équipe : N/A |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du joueur |
C |
L |
R |
D |
CON |
CK |
FG |
DI |
SK |
ST |
EN |
DU |
PH |
FO |
PA |
SC |
DF |
PS |
EX |
LD |
PO |
MO |
OV |
TA |
SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Trent Frederic (R) | X | X | X | 100.00 | 77 | 82 | 75 | 73 | 87 | 81 | 90 | 72 | 75 | 69 | 70 | 67 | 71 | 68 | 72 | 75 | 68 | 0 | 0 | 26 | 2 | 1,150,000$ | ||
2 | Adam Edstrom (R) | X | X | 100.00 | 86 | 41 | 89 | 62 | 99 | 76 | 69 | 59 | 56 | 57 | 63 | 64 | 58 | 65 | 66 | 48 | 50 | 0 | 0 | 23 | 2 | 855,000$ | |||
3 | Axel Jonsson-Fjallby (R) | X | 100.00 | 68 | 37 | 95 | 66 | 75 | 78 | 83 | 65 | 61 | 64 | 64 | 63 | 62 | 67 | 68 | 53 | 50 | 0 | 0 | 26 | 3 | 775,000$ | ||||
4 | Bobby McMann | X | X | 100.00 | 73 | 42 | 76 | 68 | 82 | 81 | 79 | 64 | 65 | 61 | 67 | 63 | 66 | 68 | 70 | 36 | 42 | 0 | 0 | 28 | 4 | 775,000$ | |||
5 | Jeffrey Viel | X | 100.00 | 71 | 81 | 52 | 56 | 81 | 84 | 85 | 57 | 60 | 58 | 59 | 61 | 55 | 67 | 69 | 37 | 50 | 0 | 0 | 27 | 1 | 775,000$ | ||||
6 | Radim Zohorna | X | X | X | 100.00 | 82 | 41 | 82 | 63 | 96 | 78 | 83 | 62 | 67 | 64 | 61 | 65 | 62 | 68 | 69 | 36 | 50 | 0 | 0 | 28 | 2 | 775,000$ | ||
7 | Tyson Foerster (R) | X | X | 100.00 | 74 | 41 | 79 | 70 | 83 | 88 | 89 | 73 | 64 | 66 | 71 | 65 | 72 | 62 | 64 | 81 | 35 | 0 | 0 | 22 | 1 | 925,000$ | |||
8 | Justin Danforth | X | X | 100.00 | 74 | 33 | 88 | 71 | 66 | 84 | 74 | 67 | 78 | 69 | 65 | 75 | 66 | 71 | 72 | 34 | 72 | 0 | 0 | 31 | 3 | 975,000$ | |||
9 | John Beecher (R) | X | X | 100.00 | 77 | 42 | 86 | 65 | 87 | 77 | 84 | 63 | 85 | 58 | 61 | 71 | 65 | 63 | 66 | 78 | 42 | 0 | 0 | 23 | 2 | 925,000$ | |||
10 | Matt Rempe (R) | X | X | 100.00 | 87 | 86 | 52 | 66 | 99 | 69 | 81 | 62 | 64 | 59 | 60 | 63 | 58 | 62 | 65 | 49 | 50 | 0 | 0 | 22 | 2 | 855,000$ | |||
11 | Olle Lycksell (R) | X | X | X | 100.00 | 61 | 35 | 91 | 65 | 63 | 84 | 82 | 64 | 68 | 66 | 63 | 62 | 67 | 65 | 68 | 47 | 50 | 0 | 0 | 25 | 2 | 775,000$ | ||
12 | Calle Rosen | X | 100.00 | 65 | 37 | 94 | 67 | 75 | 85 | 83 | 65 | 30 | 71 | 68 | 64 | 55 | 70 | 72 | 35 | 34 | 0 | 0 | 30 | 1 | 750,000$ | ||||
13 | Libor Hajek (R) | X | 100.00 | 73 | 44 | 72 | 56 | 82 | 66 | 69 | 55 | 30 | 54 | 53 | 57 | 47 | 66 | 68 | 73 | 50 | 0 | 0 | 26 | 1 | 800,000$ | ||||
14 | Logan Stanley | X | 100.00 | 78 | 84 | 66 | 63 | 99 | 83 | 67 | 59 | 30 | 62 | 58 | 72 | 48 | 66 | 68 | 79 | 51 | 0 | 0 | 26 | 2 | 800,000$ | ||||
15 | Jake Christiansen (R) | X | 100.00 | 64 | 39 | 80 | 63 | 73 | 90 | 88 | 62 | 30 | 66 | 58 | 61 | 52 | 65 | 67 | 42 | 50 | 0 | 0 | 25 | 3 | 775,000$ | ||||
16 | Nick Blankenburg (R) | X | 100.00 | 67 | 38 | 82 | 66 | 65 | 86 | 73 | 64 | 30 | 67 | 63 | 66 | 52 | 65 | 68 | 42 | 49 | 0 | 0 | 26 | 1 | 800,000$ | ||||
17 | Emil Lilleberg (R) | X | 100.00 | 75 | 42 | 73 | 65 | 81 | 83 | 72 | 63 | 30 | 64 | 58 | 66 | 49 | 63 | 65 | 60 | 45 | 0 | 0 | 23 | 2 | 870,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Max McCormick | X | X | 100.00 | 58 | 39 | 72 | 64 | 70 | 84 | 86 | 63 | 65 | 62 | 64 | 60 | 63 | 72 | 76 | 30 | 50 | 0 | 0 | 32 | 2 | 700,000$ | |||
2 | Givani Smith (R) | X | 100.00 | 78 | 83 | 59 | 62 | 83 | 74 | 77 | 58 | 55 | 59 | 60 | 61 | 57 | 66 | 68 | 70 | 50 | 0 | 0 | 26 | 2 | 702,020$ | ||||
3 | Scott Reedy | X | X | 100.00 | 72 | 38 | 90 | 63 | 81 | 76 | 72 | 60 | 62 | 56 | 64 | 61 | 63 | 65 | 67 | 59 | 50 | 0 | 0 | 25 | 1 | 842,500$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 73 | 50 | 78 | 65 | 81 | 80 | 79 | 63 | 55 | 63 | 63 | 64 | 59 | 66 | 68 | 53 | 49 | 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 | Erik Kallgren (R) | 100.00 | 65 | 99 | 74 | 83 | 66 | 64 | 64 | 64 | 64 | 54 | 72 | 68 | 81 | 53 | 50 | 0 | 0 | 27 | 1 | 775,000$ | |
2 | Jaxson Stauber (R) | 100.00 | 68 | 99 | 76 | 78 | 69 | 65 | 65 | 65 | 65 | 54 | 74 | 65 | 73 | 56 | 50 | 0 | 0 | 25 | 1 | 842,500$ | |
Rayé | |||||||||||||||||||||||
1 | Jon Gillies | 100.00 | 55 | 95 | 80 | 97 | 56 | 59 | 60 | 59 | 60 | 51 | 72 | 69 | 83 | 25 | 50 | 0 | 0 | 30 | 3 | 950,000$ | |
2 | Josef Korenar (R) | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 1 | 702,019$ | |
MOYENNE D’ÉQUIPE | 100.00 | 57 | 96 | 78 | 77 | 58 | 57 | 57 | 57 | 57 | 50 | 65 | 57 | 66 | 36 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du joueur |
Nom de l’équipe | POS | GP |
G |
A |
P |
+/- |
PIM |
PIM5 |
HIT |
HTT |
SHT |
OSB |
OSM |
SHT% |
SB |
MP |
AMG |
PPG |
PPA |
PPP |
PPS |
PPM |
PKG |
PKA |
PKP |
PKS |
PKM |
GW |
GT |
FO% |
FOT |
GA |
TA |
EG |
HT |
P/20 |
PSG |
PSS |
FW |
FL |
FT |
S1 |
S2 |
S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Adam Edstrom | San Jose Barracuda (SJS) | C/LW | 5 | 1 | 1 | 2 | 1 | 0 | 0 | 4 | 9 | 15 | 4 | 14 | 6.67% | 3 | 77 | 15.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2 | Axel Jonsson-Fjallby | San Jose Barracuda (SJS) | LW | 5 | 0 | 2 | 2 | 2 | 2 | 0 | 0 | 2 | 5 | 2 | 4 | 0% | 6 | 29 | 6.00 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Jake Christiansen | San Jose Barracuda (SJS) | D | 5 | 0 | 2 | 2 | -1 | 11 | 5 | 10 | 8 | 1 | 1 | 0 | 0% | 4 | 73 | 14.65 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
4 | Jeffrey Viel | San Jose Barracuda (SJS) | LW | 5 | 2 | 0 | 2 | 2 | 0 | 0 | 6 | 4 | 5 | 0 | 9 | 40.00% | 1 | 38 | 7.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 1 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 1.04 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Matt Rempe | San Jose Barracuda (SJS) | C/RW | 5 | 1 | 1 | 2 | 1 | 7 | 5 | 20 | 11 | 14 | 5 | 4 | 7.14% | 5 | 83 | 16.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
6 | Olle Lycksell | San Jose Barracuda (SJS) | C/LW/RW | 5 | 1 | 1 | 2 | -2 | 2 | 0 | 8 | 8 | 8 | 3 | 9 | 12.50% | 4 | 84 | 16.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Radim Zohorna | San Jose Barracuda (SJS) | C/LW/RW | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0% | 2 | 11 | 2.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 35 | 5 | 7 | 12 | 3 | 22 | 10 | 48 | 44 | 48 | 15 | 40 | 10.42% | 25 | 398 | 11.39 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0 | 0 | 34 | 1 | 0 | 51.22% | 41 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 1 | 0 | 1 | 2 | 0 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# |
Nom du gardien |
Nom de l’équipe | GP |
W |
L |
OTL |
PCT |
GAA |
MP |
PIM |
SO |
GA |
SA |
SAR |
A |
EG |
PS % |
PSA |
ST |
BG |
S1 |
S2 |
S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jaxson Stauber | San Jose Barracuda (SJS) | 5 | 1 | 3 | 1 | 0.927 | 1.96 | 336 | 0 | 0 | 11 | 151 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 1 | 1 |
Statistiques d’équipe totales ou en moyenne | 5 | 1 | 3 | 1 | 0.927 | 1.96 | 336 | 0 | 0 | 11 | 151 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur |
Nom de l’équipe | POS |
Âge |
Date de naissance |
Pays |
Recrue |
Poids |
Taille |
Non-échange |
Disponible pour échange |
Acquis Par |
Date de la Dernière Transaction |
Ballotage forcé |
Waiver Possible |
Contrat |
Date du Signature du Contrat |
Forcer UFA |
Rappel d'urgence |
Type |
Salaire actuel |
Salaire restant | Plafond salarial |
Plafond salarial restant |
Exclus du plafond salarial |
Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
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Adam Edstrom | San Jose Barracuda (SJS) | C/LW | 23 | 2000-10-12 | SWE | Yes | 234 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 855,000$ | 366,429$ | 0$ | 0$ | No | 855,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Axel Jonsson-Fjallby | San Jose Barracuda (SJS) | LW | 26 | 1998-02-10 | SWE | Yes | 189 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Bobby McMann | San Jose Barracuda (SJS) | LW/RW | 28 | 1996-06-15 | CAN | No | 210 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2024-08-27 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Calle Rosen | San Jose Barracuda (SJS) | D | 30 | 1994-02-02 | SWE | No | 188 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 321,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Emil Lilleberg | San Jose Barracuda (SJS) | D | 23 | 2001-02-02 | NOR | Yes | 202 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 870,000$ | 372,857$ | 0$ | 0$ | No | 870,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Erik Kallgren | San Jose Barracuda (SJS) | G | 27 | 1996-10-14 | SWE | Yes | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Givani Smith | San Jose Barracuda (SJS) | LW | 26 | 1998-02-27 | CAN | Yes | 214 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 702,020$ | 300,866$ | 0$ | 0$ | No | 702,020$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jake Christiansen | San Jose Barracuda (SJS) | D | 25 | 1999-09-12 | CAN | Yes | 193 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2024-08-18 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Jaxson Stauber | San Jose Barracuda (SJS) | G | 25 | 1999-04-27 | USA | Yes | 174 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 361,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Jeffrey Viel | San Jose Barracuda (SJS) | LW | 27 | 1997-01-28 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
John Beecher | San Jose Barracuda (SJS) | C/LW | 23 | 2001-04-05 | USA | Yes | 216 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2024-08-18 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Jon Gillies | San Jose Barracuda (SJS) | G | 30 | 1994-01-22 | USA | No | 223 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 950,000$ | 407,143$ | 0$ | 0$ | No | 950,000$ | 950,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Josef Korenar | San Jose Barracuda (SJS) | G | 26 | 1998-01-31 | CZE | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 702,019$ | 300,865$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Justin Danforth | San Jose Barracuda (SJS) | C/RW | 31 | 1993-03-15 | CAN | No | 188 Lbs | 5 ft8 | No | No | N/A | No | No | 3 | 2024-05-19 | False | False | Pro & Farm | 975,000$ | 417,857$ | 0$ | 0$ | No | 975,000$ | 975,000$ | - | - | - | - | - | - | - | 975,000$ | 975,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | |
Libor Hajek | San Jose Barracuda (SJS) | D | 26 | 1998-02-04 | CZE | Yes | 209 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 342,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Logan Stanley | San Jose Barracuda (SJS) | D | 26 | 1998-05-26 | CAN | No | 231 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 342,857$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Matt Rempe | San Jose Barracuda (SJS) | C/RW | 22 | 2002-06-29 | CAN | Yes | 241 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 855,000$ | 366,429$ | 0$ | 0$ | No | 855,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Max McCormick | San Jose Barracuda (SJS) | LW/RW | 32 | 1992-05-01 | USA | No | 188 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 700,000$ | 300,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Nick Blankenburg | San Jose Barracuda (SJS) | D | 26 | 1998-05-12 | USA | Yes | 177 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 342,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Olle Lycksell | San Jose Barracuda (SJS) | C/LW/RW | 25 | 1999-08-24 | SWE | Yes | 163 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 2 | 2024-08-18 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Radim Zohorna | San Jose Barracuda (SJS) | C/LW/RW | 28 | 1996-04-29 | CZE | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Scott Reedy | San Jose Barracuda (SJS) | C/RW | 25 | 1999-04-04 | USA | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 361,071$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Trent Frederic | San Jose Barracuda (SJS) | C/LW/RW | 26 | 1998-02-11 | USA | Yes | 220 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,150,000$ | 492,857$ | 0$ | 0$ | No | 1,150,000$ | - | - | - | - | - | - | - | - | 1,150,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Tyson Foerster | San Jose Barracuda (SJS) | C/RW | 22 | 2002-01-18 | CAN | Yes | 215 Lbs | 6 ft2 | No | No | Trade | 2024-10-08 | No | No | 1 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
24 | 26.17 | 204 Lbs | 6 ft2 | 1.88 | 827,877$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 31 | 1 | 2 | 2 | |||
2 | Olle Lycksell | 30 | 1 | 2 | 2 | ||
3 | Adam Edstrom | Matt Rempe | 29 | 1 | 2 | 2 | |
4 | Axel Jonsson-Fjallby | Jeffrey Viel | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 34 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Jake Christiansen | 26 | 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 | 0 | 4 | |||
2 | Axel Jonsson-Fjallby | 40 | 1 | 0 | 4 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 1 | 3 | |||
2 | Jake Christiansen | 40 | 1 | 1 | 3 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Matt Rempe | Jeffrey Viel | 60 | 1 | 2 | 2 |
2 | Radim Zohorna | 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 | Olle Lycksell | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Adam Edstrom | Matt Rempe | 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 | Jake Christiansen | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Axel Jonsson-Fjallby |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Olle Lycksell, Radim Zohorna, Jeffrey Viel | Matt Rempe, Radim Zohorna | Radim Zohorna |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , Jake Christiansen |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : Jaxson Stauber, #2 : Erik Kallgren |
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 | Texas Stars | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.200 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 93 | 23 | 38 | 19 | 13 | 151 | 47 | 34 | 81 | 18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% | 82 | 55 | 195 | 41 | 59 | 21 |
Total | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.200 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 93 | 23 | 38 | 19 | 13 | 151 | 47 | 34 | 81 | 18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% | 82 | 55 | 195 | 41 | 59 | 21 | |
_Since Last GM Reset | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.200 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 93 | 23 | 38 | 19 | 13 | 151 | 47 | 34 | 81 | 18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% | 82 | 55 | 195 | 41 | 59 | 21 | |
_Vs Conference | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 0.200 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 93 | 23 | 38 | 19 | 13 | 151 | 47 | 34 | 81 | 18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% | 82 | 55 | 195 | 41 | 59 | 21 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
5 | 2 | L1 | 6 | 10 | 16 | 93 | 151 | 47 | 34 | 81 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 4 | 0 | 0 | 0 | 0 | 6 | 11 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 5 | 4 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 7 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 3 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
23 | 38 | 19 | 13 | 4 | 1 | 1 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% |
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 |
82 | 55 | 195 | 41 | 59 | 21 |
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 |
Jour | Match |
Équipe visiteuse |
Score |
Équipe locale |
Score |
ST |
OT |
SO |
RI |
Lien |
---|---|---|---|---|---|---|---|---|---|---|
2 | 7 | San Jose Barracuda | 0 | Texas Stars | 1 | L | Sommaire du match | |||
4 | 15 | San Jose Barracuda | 0 | Texas Stars | 3 | L | Sommaire du match | |||
6 | 23 | Texas Stars | 3 | San Jose Barracuda | 2 | L | X | Sommaire du match | ||
8 | 31 | Texas Stars | 1 | San Jose Barracuda | 3 | W | Sommaire du match | |||
10 | 39 | San Jose Barracuda | 1 | Texas Stars | 3 | L | Sommaire du match |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 4,000 | 2,000 |
Assistance PCT | 100.00% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
34 | 3000 - 100.00% | 100,300$ | 200,600$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
0$ | 1,986,904$ | 1,653,106$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 12 | 0$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 72 | 28 | 33 | 61 | 51 | 16 | 36 | 34 | 202 | 13.86% | 10 | 578 | 8.03 | 3 | 3 | 6 | 8 | 0 | 0 | 0 | 0 | 5 | 2 | 80.56% | 1 | 2.11 | 1 | 4 | |
2 | 61 | 28 | 28 | 56 | 54 | 57 | 126 | 41 | 180 | 15.56% | 19 | 622 | 10.20 | 0 | 0 | 0 | 0 | 2 | 3 | 5 | 13 | 8 | 0 | 78.95% | 0 | 1.80 | 0 | 1 | |
3 | 61 | 19 | 37 | 56 | 52 | 63 | 182 | 78 | 215 | 8.84% | 22 | 838 | 13.75 | 0 | 0 | 0 | 1 | 1 | 1 | 2 | 14 | 3 | 0 | 78.16% | 0 | 1.34 | 0 | 1 | |
4 | 61 | 22 | 32 | 54 | 50 | 14 | 37 | 53 | 227 | 9.69% | 13 | 717 | 11.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 60.29% | 0 | 1.51 | 0 | 1 | |
5 | 61 | 36 | 16 | 52 | 49 | 12 | 71 | 69 | 202 | 17.82% | 32 | 812 | 13.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 80.28% | 2 | 1.28 | 3 | 4 |
# |
Nom du gardien |
GP |
W |
L |
OTL |
PCT |
GAA |
MP |
PIM |
SO |
GA |
SA |
SAR |
A |
EG |
PS % |
PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 61 | 52 | 9 | 0 | 0.943 | 1.17 | 3682 | 0 | 19 | 72 | 1269 | 0 | 1 | 0 | 0.952 | 21 | |
2 | 11 | 5 | 5 | 1 | 0.925 | 1.62 | 667 | 0 | 1 | 18 | 240 | 0 | 0 | 0 | 0.667 | 6 |
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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
21 | 72 | 51 | 14 | 0 | 1 | 0 | 5 | 1 | 254 | 91 | 163 | 36 | 26 | 8 | 0 | 0 | 0 | 1 | 1 | 118 | 42 | 76 | 36 | 25 | 6 | 0 | 1 | 0 | 4 | 0 | 136 | 49 | 87 | 115 | 254 | 418 | 672 | 0 | 20 | 118 | 76 | 54 | 8 | 2460 | 827 | 834 | 774 | 52 | 1509 | 407 | 419 | 1533 | 169 | 17 | 10.06% | 176 | 15 | 91.48% | 5 | 994 | 1887 | 52.68% | 882 | 1774 | 49.72% | 494 | 961 | 51.40% | 2074 | 1628 | 1531 | 406 | 748 | 396 |
Total Saison régulière | 72 | 51 | 14 | 0 | 1 | 0 | 5 | 1 | 254 | 91 | 163 | 36 | 26 | 8 | 0 | 0 | 0 | 1 | 1 | 118 | 42 | 76 | 36 | 25 | 6 | 0 | 1 | 0 | 4 | 0 | 136 | 49 | 87 | 115 | 254 | 418 | 672 | 0 | 20 | 118 | 76 | 54 | 8 | 2460 | 827 | 834 | 774 | 52 | 1509 | 407 | 419 | 1533 | 169 | 17 | 10.06% | 176 | 15 | 91.48% | 5 | 994 | 1887 | 52.68% | 882 | 1774 | 49.72% | 494 | 961 | 51.40% | 2074 | 1628 | 1531 | 406 | 748 | 396 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 4 | 8 | 12 | 20 | 0 | 1 | 2 | 4 | 2 | 0 | 117 | 30 | 47 | 32 | 8 | 89 | 24 | 61 | 112 | 41 | 6 | 14.63% | 26 | 6 | 76.92% | 0 | 64 | 174 | 36.78% | 53 | 152 | 34.87% | 30 | 76 | 39.47% | 170 | 125 | 148 | 45 | 77 | 38 |
21 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 2 | 6 | 10 | 16 | 0 | 0 | 4 | 1 | 1 | 0 | 93 | 23 | 38 | 19 | 13 | 151 | 47 | 34 | 81 | 18 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 19 | 122 | 15.57% | 42 | 183 | 22.95% | 6 | 61 | 9.84% | 82 | 55 | 195 | 41 | 59 | 21 |
Total Séries éliminatoires | 11 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 14 | 21 | -7 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 6 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 6 | 14 | 22 | 36 | 0 | 1 | 6 | 5 | 3 | 0 | 210 | 53 | 85 | 51 | 21 | 240 | 71 | 95 | 193 | 59 | 6 | 10.17% | 38 | 9 | 76.32% | 0 | 83 | 296 | 28.04% | 95 | 335 | 28.36% | 36 | 137 | 26.28% | 252 | 181 | 344 | 87 | 136 | 60 |
# |
Nom du joueur |
GP |
G |
A |
P |
+/- |
PIM |
HIT |
HTT |
SHT |
SHT% |
SB |
MP |
AMG |
PPG |
PPA |
PPP |
PPS |
PKG |
PKA |
PKP |
PKS |
GW |
GT |
FO% |
HT |
P/20 |
PSG |
PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Stanley | 6 | 2 | 2 | 4 | 1 | 8 | 34 | 11 | 12 | 16.67% | 3 | 158 | 26.38 | 1 | 1 | 2 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.51 | 0 | 0 |
2 | Nick Blankenburg | 6 | 1 | 3 | 4 | -1 | 4 | 15 | 10 | 16 | 6.25% | 6 | 140 | 23.47 | 1 | 3 | 4 | 13 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0.57 | 0 | 0 |
3 | Calvin de Haan | 6 | 0 | 3 | 3 | 1 | 12 | 13 | 14 | 25 | 0% | 3 | 159 | 26.51 | 0 | 2 | 2 | 25 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.38 | 0 | 0 |
4 | Calle Rosen | 6 | 2 | 1 | 3 | -1 | 0 | 3 | 12 | 15 | 13.33% | 6 | 138 | 23.05 | 2 | 1 | 3 | 15 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0.43 | 0 | 0 |
5 | Jake Christiansen | 5 | 0 | 2 | 2 | -1 | 11 | 10 | 8 | 1 | 0% | 4 | 73 | 14.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.55 | 0 | 0 |
# |
Nom du gardien |
GP |
W |
L |
OTL |
PCT |
GAA |
MP |
PIM |
SO |
GA |
SA |
SAR |
A |
EG |
PS % |
PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Kallgren | 6 | 2 | 2 | 2 | 0.888 | 1.52 | 395 | 0 | 1 | 10 | 89 | 0 | 2 | 0 | 0 | 0 |
2 | Jaxson Stauber | 5 | 1 | 3 | 1 | 0.927 | 1.96 | 336 | 0 | 0 | 11 | 151 | 0 | 0 | 0 | 0 | 0 |