| Detroit Red Wings 0-0-0, 0pts · 12th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mark Stone | 0 | RW | 100.00 | 61 | 36 | 93 | 79 | 87 | 87 | 85 | 77 | 58 | 86 | 79 | 71 | 78 | 83 | 93 | 0 | 84 | 89 | 34 | 9,500,000$/1yrs | |||
Brandon Hagel | 0 | LW/RW | 100.00 | 63 | 36 | 74 | 81 | 73 | 88 | 89 | 79 | 59 | 81 | 84 | 73 | 81 | 72 | 70 | 0 | 81 | 88 | 27 | 6,500,000$/6yrs | |||
Lucas Raymond | 0 | LW/RW | 100.00 | 61 | 32 | 91 | 80 | 68 | 86 | 90 | 75 | 57 | 82 | 76 | 58 | 75 | 65 | 64 | 0 | 28 | 84 | 24 | 7,000,000$/2yrs | |||
Dylan Guenther | 0 | LW/RW | 100.00 | 65 | 32 | 87 | 80 | 71 | 83 | 88 | 75 | 59 | 74 | 83 | 57 | 79 | 64 | 62 | 0 | 44 | 84 | 23 | 7,100,000$/7yrs | |||
Quinton Byfield | 0 | C | 100.00 | 67 | 34 | 80 | 73 | 90 | 87 | 90 | 69 | 81 | 71 | 74 | 70 | 72 | 65 | 63 | 0 | 37 | 81 | 23 | 6,250,000$/3yrs | |||
Dylan Cozens | 0 | C/LW | 100.00 | 85 | 37 | 73 | 72 | 79 | 83 | 90 | 69 | 84 | 72 | 72 | 61 | 71 | 67 | 64 | 0 | 41 | 80 | 25 | 7,100,000$/4yrs | |||
Alex Newhook | 0 | C/LW/RW | 100.00 | 69 | 32 | 90 | 64 | 72 | 80 | 84 | 64 | 76 | 63 | 70 | 57 | 67 | 67 | 66 | 0 | 18 | 75 | 25 | 2,900,000$/1yrs | |||
Luke Haymes | 0 | C/LW | 100.00 | 63 | 39 | 85 | 57 | 76 | 63 | 73 | 58 | 68 | 58 | 54 | 61 | 56 | 57 | 56 | 0 | 23 | 67 | 22 | 875,000$/1yrs | |||
Ethan Gauthier (R) | 0 | RW | 100.00 | 63 | 38 | 85 | 56 | 72 | 61 | 70 | 57 | 45 | 56 | 52 | 60 | 54 | 54 | 52 | 0 | 22 | 66 | 21 | 833,333$/2yrs | |||
Mathieu Cataford (R) | 0 | C/RW | 100.00 | 59 | 38 | 93 | 57 | 73 | 61 | 70 | 57 | 65 | 56 | 52 | 59 | 54 | 54 | 53 | 0 | 23 | 66 | 21 | 801,666$/2yrs | |||
Cale Makar | 8 | D | 100.00 | 62 | 32 | 91 | 85 | 72 | 97 | 89 | 75 | 30 | 87 | 78 | 79 | 77 | 72 | 71 | 0 | 44 | 91 | 27 | 13,750,000$/7yrs | |||
Moritz Seider | 0 | D | 100.00 | 80 | 35 | 79 | 76 | 83 | 97 | 90 | 70 | 30 | 78 | 62 | 79 | 66 | 67 | 65 | 0 | 48 | 86 | 25 | 8,550,000$/5yrs | |||
Braden Schneider | 0 | D | 100.00 | 78 | 33 | 90 | 55 | 84 | 87 | 90 | 57 | 30 | 63 | 57 | 73 | 57 | 66 | 65 | 0 | 31 | 75 | 24 | 2,250,000$/1yrs | |||
Finn Harding | 0 | D | 100.00 | 67 | 40 | 79 | 53 | 77 | 62 | 70 | 50 | 30 | 59 | 50 | 60 | 54 | 54 | 52 | 0 | 23 | 67 | 21 | 885,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Ty Dellandrea | 0 | C/LW/RW | 100.00 | 85 | 39 | 76 | 55 | 77 | 76 | 83 | 55 | 80 | 60 | 54 | 75 | 54 | 68 | 65 | 0 | 19 | 71 | 25 | 1,625,000$/2yrs | |||
Anton Wahlberg (R) | 0 | C/LW | 100.00 | 59 | 39 | 92 | 60 | 81 | 64 | 87 | 56 | 62 | 59 | 56 | 59 | 57 | 54 | 53 | 0 | 23 | 68 | 20 | 863,333$/2yrs | |||
Arber Xhekaj | 0 | D | 100.00 | 86 | 60 | 50 | 55 | 95 | 76 | 86 | 50 | 30 | 55 | 53 | 60 | 51 | 66 | 61 | 0 | 32 | 68 | 25 | 1,500,000$/2yrs | |||
| TEAM AVERAGE | 100.00 | 69 | 37 | 83 | 67 | 78 | 79 | 84 | 64 | 56 | 68 | 65 | 65 | 65 | 64 | 63 | 0 | 37 | 77 | |||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dustin Wolf | 0 | 100.00 | 83 | 95 | 83 | 64 | 90 | 82 | 90 | 95 | 89 | 95 | 90 | 67 | 72 | 0 | 27 | 89 | 25 | 2,300,000$/1yrs |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 83 | 95 | 83 | 64 | 90 | 82 | 90 | 95 | 89 | 95 | 90 | 67 | 72 | 0 | 27 | 89 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Kris Knoblauch | 73 | 83 | 91 | 78 | 68 | 90 | 83 | CAN | 47 | 3 | 1,000,000$ |
| General Manager | Jean-francois Claes |
|---|
| 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 | 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 |
|---|
| 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 |
|---|
| Projected Total Cap Hit | 0$ |
| Projected Cap Space | 95,500,000$ |
| Retains And Buyout Cap Hit | 0$ |
| Salary Cap To Date | 0$ |
| Players In Salary Cap | 18 |
| LTIR Players | 0 |
| Red Wings Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Newhook ![]() | C/LW/RW | 25 | 2,900,000$ | 2,900,000$ | RFA | ||||||
Anton Wahlberg | C/LW | 20 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Arber Xhekaj ![]() | D | 25 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Braden Schneider ![]() | D | 24 | 2,250,000$ | 2,250,000$ | RFA | ||||||
Brandon Hagel ![]() | LW/RW | 27 | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA | |
Cale Makar ![]() | D | 27 | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | 13,750,000$ | UFA |
Dustin Wolf ![]() | G | 25 | 2,300,000$ | 2,300,000$ | RFA | ||||||
Dylan Cozens ![]() | C/LW | 25 | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | ||||
Dylan Guenther ![]() | LW/RW | 23 | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | 7,100,000$ | UFA |
Ethan Gauthier | RW | 21 | 833,333$ | 833,333$ | 833,333$ | RFA | |||||
Finn Harding | D | 21 | 885,000$ | 885,000$ | 885,000$ | RFA | |||||
Lucas Raymond ![]() | LW/RW | 24 | 7,000,000$ | 7,000,000$ | 7,000,000$ | RFA | |||||
Luke Haymes | C/LW | 22 | 875,000$ | 875,000$ | RFA | ||||||
Mark Stone ![]() | RW | 34 | 9,500,000$ | 9,500,000$ | UFA | ||||||
Mathieu Cataford | C/RW | 21 | 801,666$ | 801,666$ | 801,666$ | RFA | |||||
Moritz Seider ![]() | D | 25 | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | 8,550,000$ | UFA | ||
Quinton Byfield ![]() | C | 23 | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | RFA | ||||
Ty Dellandrea ![]() | C/LW/RW | 25 | 1,625,000$ | 1,625,000$ | 1,625,000$ |
| Non-Roster | Pos | Age | Cap Hit | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 | 2033-34 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Nikishin | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Avery Hayes | C | 23 | 830,000$ | 830,000$ | RFA | ||||||
Beckett Sennecke | LW/RW | 20 | 942,500$ | 942,500$ | 942,500$ | RFA | |||||
Brady Martin | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | |||||
Carson Bjarnason | G | 20 | 850,000$ | 850,000$ | 850,000$ | RFA | |||||
Dalibor Dvorsky | C/RW | 20 | 886,666$ | 886,666$ | 886,666$ | RFA | |||||
Denver Barkey | C | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Dominic James | C/LW | 23 | 910,000$ | 910,000$ | RFA | ||||||
Etienne Morin | D | 21 | 871,666$ | 871,666$ | 871,666$ | RFA | |||||
Florian Xhekaj | C/LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Hendrix Lapierre | C | 24 | 900,000$ | 900,000$ | RFA | ||||||
Ilya Nabokov | G | 23 | 975,000$ | 975,000$ | RFA | ||||||
Jackson Blake ![]() | C/RW | 22 | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ |
Jeremie Poirier | D | 24 | 850,000$ | 850,000$ | RFA | ||||||
Jet Greaves | G | 25 | 0$ | RFA | |||||||
Joe Veleno | C/RW | 26 | 1,000,000$ | 1,000,000$ | |||||||
Jordan Dumais | LW/RW | 22 | 860,000$ | 860,000$ | RFA | ||||||
Justin Sourdif | C/RW | 24 | 950,000$ | 950,000$ | RFA | ||||||
Kai Uchacz | C/LW/RW | 22 | 845,000$ | 845,000$ | RFA | ||||||
Logan Stankoven ![]() | C/RW | 23 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ |
Lucas Pettersson | C/LW | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | RFA | ||||
Michal Postava | G | 24 | 975,000$ | 975,000$ | RFA | ||||||
Noah Laba | C/RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
Ryan Leonard | C/RW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Sam Dickinson | D | 19 | 953,750$ | 953,750$ | 953,750$ | 953,750$ | RFA | ||||
Shane Wright | C | 22 | 886,666$ | 886,666$ | RFA | ||||||
Taylor Makar | C/LW | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
Tij Iginla | C/LW | 19 | 910,000$ | 910,000$ | 910,000$ | 910,000$ | |||||
Tom Willander | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Topias Leinonen | G | 22 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Tristan Luneau | D | 22 | 865,000$ | 865,000$ | RFA | ||||||
William Eklund ![]() | C/LW | 23 | 5,600,000$ | 5,600,000$ | 5,600,000$ | 5,600,000$ | RFA | ||||
Zayne Parekh | D | 20 | 942,500$ | 942,500$ | 942,500$ | RFA |
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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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | nan% | nan% | nan% | nan | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | NAN |
| Neutral Zone | NAN |
| Defensive Zone | NAN |
| Puck Time | |
|---|---|
| Offensive Zone Start | 0 |
| Neutral Zone Start | 0 |
| Defensive Zone Start | 0 |
| Puck Time | |
|---|---|
| With Puck | NAN |
| Without Puck | NAN |
| Faceoffs | |
|---|---|
| Faceoffs Won | 0 |
| Faceoffs Lost | 0 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | nan | 9.57 |
| 2nd Period | nan | 20.31 |
| 3rd Period | nan | 30.68 |
| Overtime | nan | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | nan | 0.64 |
| 2nd Period | nan | 1.65 |
| 3rd Period | nan | 2.67 |
| Overtime | nan | 2.83 |
| Even Strenght Goal | 0 |
|---|---|
| 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 | nan |
| Shots Against | nan |
| Goals For | nan |
| Goals Against | nan |
| Hits | nan |
| Shots Blocked | nan |
| Pim | nan |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 80,583,332$ | 0$ | 0$ | 14,916,668$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Joe Louis Arena | |
| City | Detroit | ||
| Capacity | 18000 | ||
| Season Ticket Holders | 40% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
| Ticket Price | 100$ | 60$ | 35$ | 25$ | 200$ |
| 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 |
| 41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 80,583,332$ | 80,583,332$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 80,583,332$ | 28,517,435$ | 28,517,435$ |
Rookie
Injured
Cold Streak
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| Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
|---|---|---|---|---|---|---|---|---|
| 2026 | ||||||||
| 2027 | ||||||||
| 2028 | ||||||||
| 2029 | ||||||||
| 2030 |
| 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 |
|---|---|---|---|---|---|
| Cole Hutson | 2024 | 31 | |||
| Rodion Amirov | RIP | ||||
| Viktor Eklund | 2025 | 8 | |||
| Yegor Surin | 2024 | 37 |

