Full Scoreboard ยป |
New York Rangers 0-0-0, 0pts · 2nd in Eastern Conference |
Priority | Type | Description |
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10 | text | Any text entered in the filter will match text found within the column |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
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![]() | 0 | C/RW | 100.00 | 43 | 1 | 94 | 94 | 73 | 99 | 99 | 96 | 68 | 99 | 85 | 43 | 48 | 72 | 72 | 62 | 50 | 78 | 25 | 10,750,000$/2yrs | |||
![]() | 0 | C | 100.00 | 73 | 37 | 70 | 84 | 72 | 83 | 95 | 93 | 74 | 86 | 86 | 61 | 79 | 54 | 54 | 78 | 50 | 76 | 24 | 8,300,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 66 | 18 | 82 | 82 | 72 | 92 | 85 | 92 | 71 | 87 | 86 | 65 | 79 | 50 | 50 | 85 | 50 | 76 | 23 | 4,000,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 86 | 24 | 83 | 86 | 72 | 81 | 92 | 89 | 62 | 83 | 81 | 59 | 75 | 50 | 50 | 85 | 50 | 74 | 21 | 5,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 59 | 21 | 96 | 87 | 69 | 73 | 80 | 85 | 25 | 80 | 92 | 60 | 75 | 55 | 55 | 44 | 50 | 73 | 27 | 5,500,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 50 | 2 | 99 | 80 | 69 | 92 | 98 | 84 | 29 | 90 | 78 | 25 | 75 | 75 | 76 | 58 | 50 | 71 | 27 | 2,650,000$/2yrs | |||
![]() | 0 | RW | 100.00 | 54 | 26 | 87 | 80 | 64 | 81 | 81 | 87 | 69 | 79 | 80 | 50 | 80 | 51 | 51 | 81 | 50 | 70 | 23 | 1,875,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 86 | 15 | 60 | 77 | 86 | 75 | 85 | 73 | 26 | 77 | 67 | 58 | 25 | 76 | 77 | 57 | 50 | 69 | 27 | 1,900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 59 | 36 | 89 | 72 | 76 | 93 | 82 | 68 | 80 | 64 | 64 | 62 | 62 | 67 | 67 | 25 | 50 | 66 | 32 | 2,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 90 | 16 | 76 | 80 | 84 | 89 | 90 | 60 | 28 | 55 | 65 | 54 | 75 | 74 | 74 | 58 | 50 | 66 | 26 | 1,400,000$/1yrs | |||
![]() | 0 | D | 100.00 | 86 | 15 | 71 | 89 | 78 | 95 | 86 | 86 | 25 | 84 | 59 | 93 | 25 | 88 | 90 | 52 | 50 | 82 | 29 | 6,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 85 | 31 | 69 | 84 | 84 | 92 | 84 | 55 | 21 | 47 | 43 | 82 | 25 | 78 | 79 | 50 | 50 | 73 | 29 | 2,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 6 | 99 | 84 | 72 | 91 | 71 | 60 | 25 | 54 | 47 | 82 | 75 | 69 | 70 | 64 | 50 | 71 | 31 | 3,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 56 | 4 | 99 | 86 | 72 | 92 | 77 | 79 | 25 | 65 | 45 | 73 | 78 | 80 | 82 | 59 | 50 | 71 | 34 | 4,000,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW/RW | 100.00 | 69 | 10 | 86 | 91 | 82 | 70 | 88 | 68 | 22 | 66 | 78 | 33 | 75 | 80 | 80 | 53 | 50 | 68 | 26 | 1,100,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 75 | 40 | 63 | 94 | 77 | 76 | 87 | 70 | 15 | 67 | 70 | 40 | 25 | 75 | 76 | 54 | 50 | 67 | 27 | 1,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 47 | 1 | 99 | 72 | 80 | 74 | 71 | 67 | 42 | 68 | 68 | 53 | 25 | 79 | 79 | 46 | 50 | 65 | 27 | 900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 48 | 21 | 99 | 63 | 66 | 94 | 91 | 63 | 79 | 64 | 57 | 57 | 59 | 67 | 67 | 55 | 50 | 63 | 29 | 700,000$/1yrs | |||
![]() | 0 | D | 100.00 | 51 | 1 | 99 | 79 | 75 | 95 | 87 | 61 | 25 | 56 | 46 | 93 | 25 | 76 | 77 | 51 | 50 | 73 | 29 | 4,100,000$/4yrs | |||
![]() | 0 | D | 100.00 | 74 | 38 | 61 | 73 | 81 | 70 | 95 | 52 | 26 | 56 | 38 | 70 | 43 | 54 | 54 | 81 | 50 | 65 | 23 | 925,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 67 | 18 | 84 | 82 | 75 | 85 | 86 | 74 | 42 | 71 | 67 | 61 | 56 | 69 | 69 | 60 | 50 | 71 |
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. |
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10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 83 | 62 | 75 | 79 | 84 | 79 | 80 | 80 | 91 | 82 | 40 | 49 | 49 | 76 | 50 | 75 | 31 | 3,300,000$/3yrs |
![]() | 0 | 100.00 | 64 | 71 | 99 | 65 | 76 | 69 | 55 | 67 | 63 | 59 | 30 | 61 | 61 | 45 | 50 | 65 | 27 | 2,100,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 84 | 85 | 73 | 69 | 75 | 99 | 99 | 99 | 99 | 81 | 83 | 58 | 58 | 76 | 50 | 82 | 24 | 9,000,000$/4yrs |
TEAM AVERAGE | 100.00 | 77 | 73 | 82 | 71 | 78 | 82 | 78 | 82 | 84 | 74 | 51 | 56 | 56 | 66 | 50 | 74 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Scott Gordon | 75 | 63 | 77 | 65 | 77 | 54 | 58 | USA | 63 | 5 | 1,520,000$ |
General Manager | Brian White |
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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 ) |
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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. |
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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 | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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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 |
# | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
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Total | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | 0 |
Without Puck | 0 |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 2.83 |
Even Strenght Goal | 0 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 90,000,000$ |
Retains And Buyout Cap Hit | 7,500,000$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2018-2019 | 2019-2020 | 2020-2021 | 2021-2022 | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrei Kuzmenko | LW | 27 | 5,500,000$ | 5,500,000$ | 5,500,000$ | ||||||
Andrew Poturalski ![]() | C | 29 | 700,000$ | 700,000$ | |||||||
Brendan Perlini ![]() | LW/RW | 26 | 1,100,000$ | 1,100,000$ | |||||||
Calvin de Haan | D | 31 | 3,600,000$ | 3,600,000$ | |||||||
Dylan DeMelo | D | 29 | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | 4,100,000$ | ||||
Eric Comrie ![]() | C | 27 | 2,100,000$ | 2,100,000$ | |||||||
Ilya Konovalov | RW | 24 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||||
Ivan Lodnia ![]() | RW | 23 | 1,875,000$ | 1,875,000$ | 1,875,000$ | ||||||
Jack Campbell ![]() | D | 31 | 3,300,000$ | 3,300,000$ | 3,300,000$ | 3,300,000$ | |||||
Jacob Trouba | D | 29 | 6,500,000$ | 6,500,000$ | |||||||
Jake Virtanen ![]() | RW | 26 | 1,400,000$ | 1,400,000$ | |||||||
Joel Edmundson | D | 29 | 2,900,000$ | 2,900,000$ | |||||||
Kevin Labanc ![]() | LW/RW | 27 | 2,650,000$ | 2,650,000$ | 2,650,000$ | ||||||
Kevin Shattenkirk | D | 34 | 4,000,000$ | 4,000,000$ | |||||||
Liam Foudy | C/LW | 23 | 4,000,000$ | 4,000,000$ | |||||||
Mathew Barzal | C/RW | 25 | 10,750,000$ | 10,750,000$ | 10,750,000$ | ||||||
Miles Wood ![]() | LW/RW | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Morgan Frost | C | 24 | 8,300,000$ | 8,300,000$ | 8,300,000$ | 8,300,000$ | 8,300,000$ | ||||
Nick Ritchie ![]() | LW | 27 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Peter Holland ![]() | C | 32 | 2,000,000$ | 2,000,000$ | |||||||
Tim Stutzle ![]() | C/LW | 21 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | |||||
Valeri Nichushkin ![]() | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | ||||||
Xavier Bouchard ![]() | D | 23 | 925,000$ | 925,000$ |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 | Lien |
---|---|---|---|---|---|
Brady Cleveland | 8 | 58 | |||
Eamon Powell | 2 | 51 | |||
Jack Finley | 2 | 50 | |||
Jani Nyman | 7 | 21 | |||
Topias Leinonen | 7 | 58 |
Date | Matchup | Result | Detail | |||||||||||
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2023-09-25 | @ | |||||||||||||
2023-09-26 | @ | |||||||||||||
2023-09-27 | @ | |||||||||||||
2023-09-28 | @ | |||||||||||||
2023-09-30 | @ | |||||||||||||
2023-10-01 | @ | |||||||||||||
2023-10-02 | @ | |||||||||||||
2023-10-04 | @ | |||||||||||||
Trade Deadline --- Trades cant be done after this day is simulated! | ||||||||||||||
2023-10-07 | @ | |||||||||||||
2023-10-08 | @ |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
86,000,000$ | 7,500,000$ | 0$ | 90,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Madison Square Garden | |
City | New York | ||
Capacity | 18000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 300$ | 150$ | 100$ | 75$ | 400$ |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
86,000,000$ | 86,000,000$ | 0$ | 7,500,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 16 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 770,217,399$ | 770,217,399$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 | Round 4 |
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9 | ||||
10 | ||||
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13 |