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Springfield Thunderbirds 1-4-0, 2pts |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Riley Nash | 0 | C | 100.00 | 55 | 45 | 67 | 70 | 60 | 70 | 71 | 66 | 62 | 65 | 62 | 64 | 66 | 70 | 63 | 1 | 70 | 0 | 34 | 1,100,000$/1yrs | |||
Pavel Dorofeyev (R) | 0 | C | 100.00 | 57 | 40 | 67 | 69 | 59 | 59 | 58 | 60 | 55 | 54 | 54 | 54 | 61 | 50 | 50 | 1 | 80 | 0 | 23 | 750,000$/1yrs | |||
Jacob Bernard-Docker (R) | 0 | D | 100.00 | 61 | 45 | 65 | 70 | 64 | 59 | 59 | 57 | 40 | 51 | 52 | 65 | 60 | 51 | 50 | 1 | 80 | 0 | 23 | 750,000$/1yrs | |||
William Trudeau (R) | 0 | D | 100.00 | 64 | 56 | 63 | 71 | 64 | 55 | 56 | 64 | 40 | 62 | 56 | 68 | 64 | 50 | 50 | 1 | 80 | 0 | 21 | 856,667$/3yrs | |||
Zac Jones (R) | 0 | D | 100.00 | 62 | 40 | 67 | 72 | 58 | 61 | 61 | 64 | 40 | 62 | 58 | 69 | 65 | 50 | 50 | 1 | 80 | 0 | 23 | 750,000$/1yrs | |||
Scratches |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Robin Lehner | 0 | 100.00 | 70 | 74 | 75 | 76 | 73 | 70 | 70 | 70 | 70 | 73 | 66 | 87 | 75 | 1 | 24 | 0 | 32 | 5,000,000$/2yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ryan Craig | 60 | 60 | 60 | 60 | 55 | 55 | 1 | CAN | 41 | 4 | 1,000,000$ |
General Manager |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | 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 |
---|---|---|
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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Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Jacob Bernard-Docker | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Pavel Dorofeyev | C | 23 | 750,000$ | 750,000$ | RFA | ||||||
Riley Nash | C | 34 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Robin Lehner | G | 32 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
William Trudeau | D | 21 | 856,667$ | 856,667$ | 856,667$ | 856,667$ | RFA | ||||
Zac Jones | D | 23 | 750,000$ | 750,000$ | RFA |
Forward Lines | |||||||
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Defensive Pairings | |||||||
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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 |
# | 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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1 | Monsters | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.200 | 12 | 24 | 36 | 0 | 0 | 2 | 4 | 6 | 0 | 104 | 23 | 42 | 39 | 0 | 149 | 54 | 18 | 62 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 32 | 61 | 52.46% | 36 | 72 | 50.00% | 42 | 87 | 48.28% | 104 | 60 | 112 | 44 | 84 | 42 | 40.0% | 11.5% | 89.3% | 100.8 | FUN |
_Vs Conference | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.200 | 12 | 24 | 36 | 0 | 0 | 2 | 4 | 6 | 0 | 104 | 23 | 42 | 39 | 0 | 149 | 54 | 18 | 62 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 32 | 61 | 52.46% | 36 | 72 | 50.00% | 42 | 87 | 48.28% | 104 | 60 | 112 | 44 | 84 | 42 | 40.0% | 11.5% | 89.3% | 100.8 | FUN | |
_Since Last GM Reset | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.200 | 12 | 24 | 36 | 0 | 0 | 2 | 4 | 6 | 0 | 104 | 23 | 42 | 39 | 0 | 149 | 54 | 18 | 62 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 32 | 61 | 52.46% | 36 | 72 | 50.00% | 42 | 87 | 48.28% | 104 | 60 | 112 | 44 | 84 | 42 | 40.0% | 11.5% | 89.3% | 100.8 | FUN | |
Total | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 0.200 | 12 | 24 | 36 | 0 | 0 | 2 | 4 | 6 | 0 | 104 | 23 | 42 | 39 | 0 | 149 | 54 | 18 | 62 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 32 | 61 | 52.46% | 36 | 72 | 50.00% | 42 | 87 | 48.28% | 104 | 60 | 112 | 44 | 84 | 42 | 40.0% | 11.5% | 89.3% | 100.8 | FUN |
Puck Time | |
---|---|
Offensive Zone | 20 |
Neutral Zone | 16 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 61 |
Neutral Zone Start | 87 |
Defensive Zone Start | 72 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 110 |
Faceoffs Lost | 110 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 4.6 | 9.57 |
2nd Period | 13.0 | 20.31 |
3rd Period | 20.8 | 30.68 |
Overtime | 20.8 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.4 | 0.64 |
2nd Period | 1.2 | 1.65 |
3rd Period | 2.4 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 10 |
---|---|
PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 1 |
Lost | 2 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 7 |
---|---|
PP Goal | 2 |
PK Attempt | 9 |
PK Goal Against | 1 |
Home | |
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Shots For | 20.8 |
Shots Against | 29.8 |
Goals For | 2.4 |
Goals Against | 3.2 |
Hits | 12.4 |
Shots Blocked | 10.8 |
Pim | 3.6 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2024-04-18 | SPR | VS | CLE | SPR4,CLE2 | RECAP |
2024-04-20 | SPR | VS | CLE | SPR2,CLE4 | RECAP |
2024-04-22 | CLE | VS | SPR | CLE5,SPR3 | RECAP |
2024-04-24 | CLE | VS | SPR | CLE3,SPR2 | RECAP |
2024-04-26 | SPR | VS | CLE | SPR1,CLE2 (OT) | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
920,667$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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Name | ||
City | Springfield | |
Capacity | 8000 | |
Season Ticket Holders | 20% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 5000 | 3000 | |||
Ticket Price | 35$ | 15$ | $ | $ | $ |
Attendance | 8801 | 5481 | |||
Attendance PCT | 88.01% | 91.35% | 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 |
39 | 7141 - 89.26% | 175,613$ | 351,226$ | 8000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
920,667$ | 920,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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