![]() | New York Rangers |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Stefan | Morale : 40 | Team Overall : 74 Next Games #4 vs New Jersey Devils |
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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 |
| # | Player Name | # | 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 | Age | Contract | Salary Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mika Zibanejad | 0 | X | 100.00 | 70 | 40 | 89 | 81 | 78 | 83 | 93 | 82 | 81 | 86 | 79 | 74 | 70 | 78 | 75 | 0 | 40 | 80 | 0 | 31 | 4 | 7,218,750$ | ||||
| 2 | Artemi Panarin | 0 | X | X | 100.00 | 67 | 40 | 85 | 87 | 65 | 82 | 89 | 84 | 54 | 91 | 77 | 68 | 82 | 72 | 67 | 0 | 40 | 79 | 0 | 33 | 3 | 6,873,500$ | |||
| 3 | Chris Kreider | 0 | X | X | 100.00 | 75 | 40 | 85 | 75 | 90 | 80 | 92 | 74 | 70 | 73 | 83 | 75 | 60 | 77 | 71 | 0 | 40 | 78 | 0 | 33 | 3 | 4,750,000$ | |||
| 4 | Blake Wheeler | 0 | X | X | 100.00 | 70 | 40 | 76 | 70 | 84 | 78 | 86 | 75 | 69 | 83 | 69 | 67 | 64 | 90 | 84 | 0 | 40 | 75 | 0 | 38 | 1 | 4,760,000$ | |||
| 5 | Vincent Trocheck | 0 | X | 100.00 | 78 | 65 | 76 | 79 | 72 | 81 | 94 | 73 | 87 | 81 | 70 | 71 | 59 | 74 | 67 | 0 | 40 | 75 | 0 | 31 | 2 | 5,350,000$ | ||||
| 6 | Filip Chytil | 0 | X | 100.00 | 69 | 40 | 85 | 80 | 80 | 69 | 86 | 68 | 64 | 75 | 70 | 66 | 54 | 64 | 59 | 0 | 40 | 71 | 0 | 25 | 2 | 2,750,000$ | ||||
| 7 | Barclay Goodrow | 0 | X | 100.00 | 74 | 72 | 83 | 66 | 79 | 71 | 93 | 64 | 73 | 74 | 65 | 72 | 54 | 69 | 65 | 0 | 40 | 70 | 0 | 31 | 2 | 2,850,000$ | ||||
| 8 | Kaapo Kakko | 0 | X | X | 100.00 | 66 | 40 | 90 | 68 | 80 | 72 | 83 | 66 | 52 | 75 | 70 | 71 | 70 | 61 | 58 | 0 | 40 | 70 | 0 | 23 | 4 | 2,500,000$ | |||
| 9 | Nick Bonino | 0 | X | 100.00 | 68 | 40 | 86 | 63 | 75 | 74 | 87 | 62 | 76 | 71 | 68 | 78 | 67 | 80 | 60 | 0 | 40 | 70 | 0 | 36 | 1 | 3,000,000$ | ||||
| 10 | Alexis Lafreniere | 0 | X | X | 100.00 | 77 | 64 | 83 | 63 | 75 | 71 | 87 | 66 | 55 | 74 | 69 | 67 | 71 | 60 | 58 | 0 | 40 | 69 | 0 | 23 | 1 | 775,000$ | |||
| 11 | Jimmy Vesey | 0 | X | X | 100.00 | 72 | 58 | 90 | 66 | 76 | 69 | 89 | 61 | 54 | 71 | 64 | 75 | 58 | 70 | 59 | 0 | 43 | 68 | 0 | 31 | 2 | 2,650,000$ | |||
| 12 | Tyler Pitlick | 0 | X | 100.00 | 76 | 40 | 89 | 69 | 77 | 60 | 77 | 59 | 53 | 70 | 62 | 71 | 54 | 66 | 59 | 0 | 40 | 67 | 0 | 33 | 1 | 1,850,000$ | ||||
| 13 | Adam Fox | 0 | X | 100.00 | 68 | 40 | 83 | 85 | 71 | 94 | 92 | 77 | 40 | 89 | 65 | 85 | 61 | 62 | 59 | 0 | 40 | 79 | 0 | 26 | 1 | 6,500,000$ | ||||
| 14 | Jacob Trouba | 0 | X | 100.00 | 80 | 72 | 78 | 75 | 78 | 87 | 93 | 65 | 40 | 75 | 63 | 84 | 54 | 75 | 68 | 0 | 40 | 75 | 0 | 30 | 4 | 3,500,000$ | ||||
| 15 | K'Andre Miller | 0 | X | 100.00 | 78 | 40 | 84 | 74 | 81 | 87 | 92 | 65 | 40 | 77 | 63 | 86 | 73 | 60 | 58 | 0 | 40 | 75 | 0 | 24 | 3 | 3,500,000$ | ||||
| 16 | Erik Gustafsson | 0 | X | 100.00 | 69 | 57 | 87 | 78 | 78 | 80 | 82 | 67 | 40 | 79 | 62 | 77 | 54 | 65 | 59 | 0 | 40 | 73 | 0 | 32 | 1 | 3,850,000$ | ||||
| 17 | Ryan Lindgren | 0 | X | 100.00 | 69 | 58 | 76 | 72 | 74 | 82 | 88 | 61 | 40 | 74 | 59 | 87 | 54 | 61 | 58 | 0 | 40 | 71 | 0 | 26 | 1 | 2,100,000$ | ||||
| 18 | Braden Schneider | 0 | X | 100.00 | 70 | 66 | 92 | 70 | 79 | 73 | 79 | 60 | 40 | 71 | 60 | 81 | 54 | 57 | 58 | 0 | 40 | 69 | 0 | 23 | 4 | 1,200,000$ | ||||
| Scratches | ||||||||||||||||||||||||||||||
| Farm Team | ||||||||||||||||||||||||||||||
| 1 | Alex Belzile | 0 | X | X | 100.00 | 61 | 60 | 73 | 63 | 69 | 61 | 59 | 60 | 64 | 63 | 61 | 66 | 54 | 66 | 61 | 0 | 37 | 63 | 0 | 33 | 1 | 775,000$ | |||
| 2 | Riley Nash | 0 | X | 100.00 | 60 | 51 | 73 | 63 | 64 | 66 | 69 | 62 | 63 | 63 | 61 | 65 | 58 | 75 | 64 | 0 | 40 | 63 | 0 | 35 | 1 | 775,000$ | ||||
| 3 | Anton Blidh | 0 | X | X | 100.00 | 66 | 51 | 72 | 60 | 69 | 63 | 62 | 58 | 53 | 62 | 58 | 65 | 54 | 62 | 59 | 0 | 40 | 62 | 0 | 29 | 1 | 775,000$ | |||
| 4 | Jonny Brodzinski | 0 | X | 100.00 | 56 | 54 | 68 | 62 | 71 | 62 | 61 | 60 | 59 | 61 | 60 | 64 | 58 | 67 | 60 | 0 | 40 | 62 | 0 | 31 | 1 | 775,000$ | ||||
| 5 | Jake Leschyshyn | 0 | X | 100.00 | 68 | 44 | 83 | 61 | 74 | 59 | 63 | 55 | 73 | 64 | 57 | 64 | 54 | 56 | 57 | 0 | 40 | 61 | 0 | 25 | 1 | 775,000$ | ||||
| 6 | Turner Elson | 0 | X | 100.00 | 55 | 58 | 65 | 60 | 63 | 68 | 66 | 61 | 55 | 59 | 60 | 62 | 55 | 70 | 62 | 0 | 40 | 61 | 0 | 32 | 1 | 775,000$ | ||||
| 7 | Bryce McConnell-Barker (R) | 0 | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 20 | 1 | 775,000$ | ||||
| 8 | Will Cuylle | 0 | X | X | 100.00 | 55 | 57 | 62 | 60 | 65 | 63 | 62 | 59 | 55 | 57 | 60 | 60 | 58 | 54 | 53 | 0 | 40 | 59 | 0 | 22 | 4 | 800,000$ | |||
| 9 | Bobby Trivigno | 0 | X | 100.00 | 55 | 54 | 67 | 58 | 53 | 62 | 61 | 57 | 55 | 57 | 56 | 62 | 54 | 58 | 55 | 0 | 40 | 58 | 0 | 25 | 1 | 775,000$ | ||||
| 10 | Tristan Mullin | 0 | X | X | X | 100.00 | 55 | 55 | 67 | 55 | 65 | 59 | 58 | 55 | 55 | 55 | 55 | 61 | 54 | 63 | 58 | 0 | 40 | 57 | 0 | 28 | 1 | 775,000$ | ||
| 11 | Connor MacKey | 0 | X | 100.00 | 67 | 73 | 72 | 69 | 72 | 68 | 62 | 58 | 40 | 67 | 59 | 73 | 54 | 57 | 58 | 0 | 37 | 65 | 0 | 28 | 1 | 1,850,000$ | ||||
| 12 | Ben Harpur | 0 | X | 100.00 | 67 | 71 | 80 | 58 | 85 | 66 | 64 | 55 | 40 | 66 | 56 | 75 | 54 | 61 | 58 | 0 | 37 | 64 | 0 | 29 | 1 | 775,000$ | ||||
| 13 | Zac Jones | 0 | X | 100.00 | 56 | 53 | 69 | 61 | 60 | 65 | 61 | 58 | 40 | 60 | 57 | 65 | 55 | 56 | 54 | 0 | 40 | 60 | 0 | 24 | 3 | 1,100,000$ | ||||
| 14 | Brandon Scanlin | 0 | X | 100.00 | 55 | 55 | 67 | 57 | 70 | 63 | 62 | 55 | 40 | 55 | 55 | 64 | 54 | 58 | 55 | 0 | 40 | 59 | 0 | 25 | 1 | 775,000$ | ||||
| 15 | Mac Hollowell | 0 | X | 100.00 | 57 | 53 | 68 | 58 | 60 | 61 | 58 | 57 | 40 | 61 | 54 | 63 | 54 | 59 | 56 | 0 | 37 | 59 | 0 | 26 | 1 | 775,000$ | ||||
| 16 | Matthew Robertson | 0 | X | 100.00 | 55 | 56 | 65 | 60 | 67 | 65 | 63 | 57 | 40 | 57 | 55 | 60 | 54 | 55 | 53 | 0 | 40 | 59 | 0 | 23 | 1 | 775,000$ | ||||
| 17 | Nikolas Brouillard | 0 | X | 100.00 | 57 | 55 | 59 | 61 | 52 | 67 | 67 | 60 | 40 | 59 | 57 | 57 | 54 | 65 | 59 | 0 | 40 | 59 | 0 | 29 | 1 | 775,000$ | ||||
| 18 | Blake Hillman | 0 | X | 100.00 | 55 | 54 | 67 | 56 | 63 | 60 | 59 | 55 | 40 | 55 | 54 | 61 | 54 | 63 | 58 | 0 | 40 | 57 | 0 | 28 | 1 | 775,000$ | ||||
| 19 | Karl Henriksson | 0 | X | 100.00 | 51 | 52 | 64 | 54 | 54 | 65 | 62 | 54 | 52 | 53 | 54 | 58 | 51 | 52 | 50 | 0 | 40 | 55 | 0 | 23 | 1 | 775,000$ | ||||
| 20 | Matt Rempe | 0 | X | 100.00 | 54 | 51 | 59 | 53 | 74 | 61 | 60 | 53 | 52 | 52 | 53 | 57 | 51 | 51 | 49 | 0 | 40 | 55 | 0 | 22 | 1 | 775,000$ | ||||
| 21 | Adam Edstrom | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 71 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 54 | 51 | 0 | 40 | 53 | 0 | 24 | 1 | 775,000$ | ||||
| 22 | Adam Sykora | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 54 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 48 | 48 | 0 | 40 | 52 | 0 | 20 | 1 | 775,000$ | ||||
| 23 | Brett Berard | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 51 | 49 | 0 | 40 | 52 | 0 | 22 | 1 | 775,000$ | ||||
| 24 | Ryder Korczak | 0 | X | 100.00 | 51 | 51 | 65 | 52 | 55 | 52 | 52 | 51 | 67 | 51 | 51 | 56 | 51 | 51 | 49 | 0 | 40 | 52 | 0 | 22 | 1 | 775,000$ | ||||
| 25 | Zach Berzolla | 0 | X | 100.00 | 55 | 54 | 68 | 54 | 65 | 55 | 55 | 54 | 40 | 54 | 54 | 61 | 54 | 60 | 56 | 0 | 40 | 56 | 0 | 26 | 1 | 775,000$ | ||||
| 26 | Grant Gabriele | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 62 | 51 | 51 | 51 | 38 | 51 | 51 | 59 | 51 | 58 | 53 | 0 | 40 | 53 | 0 | 27 | 1 | 775,000$ | ||||
| 27 | Matthew Cairns | 0 | X | 100.00 | 51 | 51 | 65 | 51 | 64 | 51 | 51 | 51 | 38 | 51 | 51 | 59 | 51 | 56 | 52 | 0 | 40 | 53 | 0 | 26 | 1 | 775,000$ | ||||
| TEAM AVERAGE | 100.00 | 63 | 53 | 74 | 64 | 69 | 67 | 71 | 61 | 53 | 65 | 60 | 67 | 57 | 63 | 59 | 0 | 40 | 64 | |||||||||||
| 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 |
| # | Goalie Name | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Igor Shesterkin | 0 | 100.00 | 91 | 94 | 93 | 77 | 86 | 75 | 93 | 91 | 91 | 74 | 94 | 62 | 60 | 0 | 40 | 87 | 0 | 29 | 4 | 5,750,000$ | |
| 2 | Jonathan Quick | 0 | 100.00 | 75 | 83 | 82 | 79 | 86 | 72 | 80 | 64 | 87 | 77 | 87 | 91 | 79 | 0 | 40 | 79 | 0 | 38 | 1 | 3,200,000$ | |
| Scratches | ||||||||||||||||||||||||
| Farm Team | ||||||||||||||||||||||||
| 1 | Louis Domingue | 0 | 100.00 | 61 | 65 | 65 | 69 | 67 | 61 | 67 | 64 | 59 | 60 | 61 | 73 | 63 | 0 | 40 | 64 | 0 | 32 | 1 | 775,000$ | |
| 2 | Talyn Boyko | 0 | 100.00 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 0 | 40 | 60 | 0 | 22 | 1 | 775,000$ | |
| 3 | Dylan Garand | 0 | 100.00 | 58 | 60 | 60 | 60 | 63 | 59 | 63 | 60 | 56 | 58 | 59 | 53 | 51 | 0 | 40 | 59 | 0 | 22 | 1 | 775,000$ | |
| 4 | Olof Lindbom | 0 | 100.00 | 51 | 51 | 51 | 64 | 61 | 51 | 61 | 51 | 52 | 52 | 62 | 53 | 50 | 0 | 40 | 54 | 0 | 24 | 1 | 775,000$ | |
| TEAM AVERAGE | 100.00 | 66 | 69 | 69 | 68 | 71 | 63 | 71 | 65 | 68 | 64 | 71 | 65 | 61 | 0 | 40 | 67 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Peter Laviolette | 84 | 87 | 90 | 82 | 85 | 79 | 62 | USA | 57 | 7 | 1,000,000$ |
| 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 |
| # | Player Name | Team Name | 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 |
| # | Goalie Name | Team Name | 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 |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Fox | New York Rangers | D | 26 | 17.02.1998 | No | 83 Kg | 180 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Alexis Lafreniere | New York Rangers | LW/RW | 23 | 11.10.2001 | No | 89 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | 775,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Artemi Panarin | New York Rangers | LW/RW | 33 | 30.10.1991 | No | 79 Kg | 183 CM | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 6,873,500$ | 6,873,500$ | 6,873,500$ | 6,873,500$ | 6,873,500$ | 6,873,500$ | No | 6,873,500$ | 6,873,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
| Barclay Goodrow | New York Rangers | C | 31 | 26.02.1993 | No | 93 Kg | 188 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | 2,850,000$ | No | 2,850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
| Blake Wheeler | New York Rangers | LW/RW | 38 | 31.08.1986 | No | 100 Kg | 196 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,760,000$ | 4,760,000$ | 4,760,000$ | 4,760,000$ | 4,760,000$ | 4,760,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Braden Schneider | New York Rangers | D | 23 | 20.09.2001 | No | 95 Kg | 191 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
| Chris Kreider | New York Rangers | LW/RW | 33 | 30.04.1991 | No | 105 Kg | 191 CM | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | No | 4,750,000$ | 4,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
| Erik Gustafsson | New York Rangers | D | 32 | 14.03.1992 | No | 90 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Filip Chytil | New York Rangers | C | 25 | 05.09.1999 | No | 93 Kg | 188 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | No | 2,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
| Igor Shesterkin | New York Rangers | G | 29 | 30.12.1995 | No | 86 Kg | 185 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | No | 5,750,000$ | 5,750,000$ | 5,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
| Jacob Trouba | New York Rangers | D | 30 | 26.02.1994 | No | 92 Kg | 191 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
| Jimmy Vesey | New York Rangers | LW/RW | 31 | 26.05.1993 | No | 92 Kg | 191 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | 2,650,000$ | No | 2,650,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
| Jonathan Quick | New York Rangers | G | 38 | 21.01.1986 | No | 100 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | 3,200,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| K'Andre Miller | New York Rangers | D | 24 | 21.01.2000 | No | 98 Kg | 196 CM | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | ||
| Kaapo Kakko | New York Rangers | LW/RW | 23 | 13.02.2001 | No | 94 Kg | 188 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | 2,500,000$ | 2,500,000$ | 2,500,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | ||
| Mika Zibanejad | New York Rangers | C | 31 | 18.04.1993 | No | 92 Kg | 188 CM | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 7,218,750$ | 7,218,750$ | 7,218,750$ | 7,218,750$ | 7,218,750$ | 7,218,750$ | No | 7,218,750$ | 7,218,750$ | 7,218,750$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link / NHL Link | ||
| Nick Bonino | New York Rangers | C | 36 | 20.04.1988 | No | 89 Kg | 185 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Ryan Lindgren | New York Rangers | D | 26 | 11.02.1998 | No | 86 Kg | 183 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | 2,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Tyler Pitlick | New York Rangers | C | 33 | 01.11.1991 | No | 91 Kg | 188 CM | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | 1,850,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | ||
| Vincent Trocheck | New York Rangers | C | 31 | 11.07.1993 | No | 84 Kg | 180 CM | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | No | 5,350,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 20 | 29.80 | 91 Kg | 188 CM | 2.25 | 3,746,363$ |
| Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
|---|---|---|---|---|
| 74,927,250$ | 48,892,250$ | 35,292,250$ | 20,168,750$ | 0$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Artemi Panarin | Mika Zibanejad | Chris Kreider | 33 | 1 | 2 | 2 |
| 2 | Blake Wheeler | Vincent Trocheck | Kaapo Kakko | 30 | 1 | 2 | 2 |
| 3 | Alexis Lafreniere | Filip Chytil | Jimmy Vesey | 25 | 1 | 2 | 2 |
| 4 | Mika Zibanejad | Nick Bonino | Artemi Panarin | 12 | 1 | 2 | 2 |
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Adam Fox | Jacob Trouba | 33 | 1 | 2 | 2 | |
| 2 | K'Andre Miller | Erik Gustafsson | 30 | 1 | 2 | 2 | |
| 3 | Ryan Lindgren | Braden Schneider | 25 | 1 | 2 | 2 | |
| 4 | Adam Fox | Jacob Trouba | 12 | 1 | 2 | 2 | |
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | Artemi Panarin | Mika Zibanejad | Chris Kreider | 50 | 1 | 2 | 2 |
| 2 | Blake Wheeler | Vincent Trocheck | Kaapo Kakko | 50 | 1 | 2 | 2 |
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Adam Fox | Jacob Trouba | 50 | 1 | 2 | 2 | |
| 2 | K'Andre Miller | Erik Gustafsson | 50 | 1 | 2 | 2 | |
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Mika Zibanejad | Artemi Panarin | 50 | 1 | 2 | 2 |
| 2 | Chris Kreider | Blake Wheeler | 50 | 1 | 2 | 2 |
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Adam Fox | Jacob Trouba | 50 | 1 | 2 | 2 |
| 2 | K'Andre Miller | Erik Gustafsson | 50 | 1 | 2 | 2 |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Mika Zibanejad | 50 | 1 | 2 | 2 | Adam Fox | Jacob Trouba | 50 | 1 | 2 | 2 |
| 2 | Artemi Panarin | 50 | 1 | 2 | 2 | K'Andre Miller | Erik Gustafsson | 50 | 1 | 2 | 2 |
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | Mika Zibanejad | Artemi Panarin | 50 | 1 | 2 | 2 |
| 2 | Chris Kreider | Blake Wheeler | 50 | 1 | 2 | 2 |
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Adam Fox | Jacob Trouba | 50 | 1 | 2 | 2 |
| 2 | K'Andre Miller | Erik Gustafsson | 50 | 1 | 2 | 2 |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Artemi Panarin | Mika Zibanejad | Chris Kreider | Adam Fox | Jacob Trouba |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Artemi Panarin | Mika Zibanejad | Chris Kreider | Adam Fox | Jacob Trouba |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Barclay Goodrow, Tyler Pitlick, Filip Chytil | Barclay Goodrow, Tyler Pitlick | Filip Chytil |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Ryan Lindgren, Braden Schneider, K'Andre Miller | Ryan Lindgren | Braden Schneider, K'Andre Miller |
| Penalty Shots |
|---|
| Mika Zibanejad, Artemi Panarin, Chris Kreider, Blake Wheeler, Vincent Trocheck |
| Goalie |
|---|
| #1 : Igor Shesterkin, #2 : Jonathan Quick |
| Custom OT Lines Forwards |
|---|
| Mika Zibanejad, Artemi Panarin, Chris Kreider, Blake Wheeler, Vincent Trocheck, Filip Chytil, Filip Chytil, Kaapo Kakko, Nick Bonino, Barclay Goodrow, Alexis Lafreniere |
| Custom OT Lines Defensemen |
|---|
| Adam Fox, Jacob Trouba, K'Andre Miller, Erik Gustafsson, Ryan Lindgren |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | 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 |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 0 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 0 | 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 4 | New Jersey Devils | - | New York Rangers | - | |||||
| 3 | 19 | New York Rangers | - | New Jersey Devils | - | |||||
| 5 | 37 | New York Rangers | - | New York Islanders | - | |||||
| 7 | 51 | New York Islanders | - | New York Rangers | - | |||||
| 9 | 71 | New York Rangers | - | Pittsburgh Penguins | - | |||||
| 10 | 84 | Pittsburgh Penguins | - | New York Rangers | - | |||||
| 14 | 108 | Carolina Hurricanes | - | New York Rangers | - | |||||
| 16 | 126 | New York Rangers | - | Washington Capitals | - | |||||
| 17 | 140 | Philadelphia Flyers | - | New York Rangers | - | |||||
| 19 | 155 | New York Rangers | - | Carolina Hurricanes | - | |||||
| 21 | 170 | New York Rangers | - | Columbus Blue Jackets | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 22 | 174 | New York Rangers | - | Philadelphia Flyers | - | |||||
| 23 | 188 | Washington Capitals | - | New York Rangers | - | |||||
| 27 | 212 | Columbus Blue Jackets | - | New York Rangers | - | |||||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
| Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
| Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100 | 60 | 35 | 25 | 200 |
| Attendance | 0% | 0% | 0% | 0% | 0% |
| Attendance PCT | 0% | 0% | 0% | 0% | 0% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 7 | 0 - 0% | 0$ | 0$ | 18000 | 100 |
| Expenses | ||||
|---|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 0$ | 74,927,250$ | 74,927,250$ | 0$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|---|
| 2,497,575$ | 0$ | 0$ | 20 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 30 | 2,530,908$ | 75,927,240$ |
| Team Total Estimate | ||
|---|---|---|
| Estimated Season Expenses | Current Bank Account | Projected Bank Account |
| 78,972,240$ | 100,000,000$ | 21,027,760$ |
| Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
|---|---|---|---|
| 74,927,250$ | 8,572,750$ | 83,500,000$ | 13,227,250$ |
| Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
| Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
|---|---|---|---|---|---|---|
| Brody Lamb | New York Rangers | 0 | 0 | |||
| Drew Fortescue | New York Rangers | 0 | 0 | |||
| Dylan Roobroeck | New York Rangers | 0 | 0 | |||
| Gabe Perreault | New York Rangers | 0 | 0 | |||
| Hank Kempf | New York Rangers | 0 | 0 | |||
| Hugo Ollas | New York Rangers | 0 | 0 | |||
| Jaroslav Chmelar | New York Rangers | 0 | 0 | |||
| Kalle Vaisanen | New York Rangers | 0 | 0 | |||
| Maxim Barbashev | New York Rangers | 0 | 0 | |||
| Noah Laba | New York Rangers | 0 | 0 | |||
| Oliver Tarnstrom | New York Rangers | 0 | 0 | |||
| Rasmus Larsson | New York Rangers | 0 | 0 | |||
| Simon Kjellberg | New York Rangers | 0 | 0 | |||
| Ty Henricks | New York Rangers | 0 | 0 | |||
| Victor Mancini | New York Rangers | 0 | 0 | |||
| Zakary Karpa | New York Rangers | 0 | 0 |
| Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2 | | | | | | | |
| 3 | | | | | | | |
| 4 | | | | | | | |
| 5 | | | | | | | |
| 6 | | | | | | | |
| Conditional Draft Picks | |||||||
| # | Player Name | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year | 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 |
| # | Player Name | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|