Flames

GP: 10 | W: 7 | L: 3 | OTL: 0 | P: 14
GF: 30 | GA: 26 | PP%: 19.05% | PK%: 88.89%
GM : Eric Sabourin | Morale : 75 | Team Overall : 68

Filter Tips
PriorityTypeDescription
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
10textAny 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
1Alexander WennbergX98.006136947477899069787667846883775275710
2James van RiemsdykX98.006040927085808772567170657390794175700
3Jake NeighboursX100.007950797375868974557273687665697875700
4Conor GarlandXX100.006545827763888973577469687275734775690
5Jonathan DrouinXXX97.006037937770888076797864637578726975690
6Nicolas RoyX100.007243867086858768806966716772705275680
7Gustav NyquistXXX100.006434947268868469576862676587762675680
8Max DomiXX100.006278697672858975817363646981736675680
9Luke KuninXX100.007673766774788664796658726271706875660
10Carl GrundstromX100.008138876974828365566462635971705675660
11Tomas NosekXX100.007537956583777463806160766277752375660
12Rasmus SandinX95.007137937470908972307760715468677575690
13Jake McCabeX98.007458776879928864307658905281734475690
14Zach WhitecloudX99.007539876682918963307157795072703575670
15Johnathan KovacevicX99.007357726694908162307352824870725375660
16Kevin ShattenkirkX100.004040404040404040404040404040404075430
Scratches
1Brayden SchennXXX93.008172747677889073837471687589794575720
2Tyler Bertuzzi (A)XX92.006668827580889076597378657176755475710
3Andrew MangiapaneXX100.006735867067818766566061636574723975650
4Mike Matheson (C)X94.006739837780959073307864945680765075720
TEAM AVERAGE98.15684882707584846857706371637571517567
Filter Tips
PriorityTypeDescription
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
10textAny 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
1Jake Allen100.00918478809089919089919085904975750
2Cam Talbot100.00898781848887898887898889934675740
Scratches
TEAM AVERAGE100.0090868082898890898890898792487575
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Tortorella80818483999342USA6711,155,000$


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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
1Alexander WennbergFlamesC103710-3007382582812.00%519119.180447340000200048.23%22600001.0400000011
2Rasmus SandinFlamesD1037102602410145721.43%1422822.88123832101130000.00%000010.8700000101
3James van RiemsdykFlamesLW1054940023203825.00%116316.331125250000241149.09%5500001.1000000010
4Brayden SchennFlamesC/LW/RW9437117524331722023.53%019521.741011300110202056.52%23000000.7200100010
5Zach WhitecloudFlamesD10257-1401313132815.38%1121421.482351032000029100.00%000000.6500000000
6Mike MathesonFlamesD8145-5401114114119.09%1720725.89101932000029000.00%000000.4800000000
7Max DomiFlamesC/LW10145110061616486.25%211611.64011040000120053.72%12100000.8600000000
8Andrew MangiapaneFlamesLW/RW61344004341125.00%08514.280000000004100.00%200000.9300000002
9Conor GarlandFlamesLW/RW10224-320910268157.69%016816.86011634000010150.00%1200000.4700000000
10Johnathan KovacevicFlamesD10044010033104340.00%716316.3301111200009000.00%000000.4900000100
11Jonathan DrouinFlamesC/LW/RW10134-300319272133.70%220720.73011632000070148.08%5200000.3900000100
12Jake McCabeFlamesD10134-11402824245104.17%923423.481121932000026010.00%000000.3400000010
13Jake NeighboursFlamesLW10134-520288166226.25%115815.831012240000101050.00%1000000.5100000010
14Luke KuninFlamesC/RW101232209680712.50%2707.0900001000000046.67%1500000.8500000001
15Nicolas RoyFlamesC10123060105103810.00%5989.8800000000000055.56%5400000.6100000010
16Carl GrundstromFlamesRW1010124010331333.33%0626.2200001000001025.00%400000.3200000000
17Gustav NyquistFlamesC/LW/RW6101-4001621650.00%16510.9700000000000025.00%800000.3000000000
18Tomas NosekFlamesC/LW101012002452120.00%1616.1100000000000166.67%300000.3300000000
19Kevin ShattenkirkFlamesD2000200200000.00%12512.530000000000000.00%000000.0000000000
20Tyler BertuzziFlamesLW/RW9000020812218160.00%219721.980006240002230062.50%1600000.0000000000
21Laurent DauphinHeat (CGY)C1000-200003010.00%01717.38000000000000100.00%200000.0000000000
Team Total or Average181305686-78352342372696819711.15%81293416.21815238035411232537551.98%81000010.5900100365
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jake AllenFlames106300.8992.7552302242380100.0000100111
2Cam TalbotFlames21000.9311.5478002290000.0000010000
Team Total or Average127300.9032.6060102262670100.00001010111


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alexander WennbergC311994-09-22No190 Lbs6 ft2NoNoNo5UFAPro & Farm5,000,000$5,000,000$5,000,000$NoLink / NHL Link
Andrew MangiapaneLW/RW301996-04-04No183 Lbs5 ft10NoNoNo1UFAPro & Farm2,425,000$2,425,000$2,425,000$NoLink / NHL Link
Brayden Schenn (Out of Payroll)C/LW/RW351991-08-22No200 Lbs6 ft1NoNoNo2UFAPro & Farm6,500,000$0$0$YesLink / NHL Link
Cam TalbotG391987-07-05No202 Lbs6 ft3NoNoNo3UFAPro & Farm2,500,000$2,500,000$2,500,000$NoLink / NHL Link
Carl GrundstromRW281997-12-01No200 Lbs6 ft0NoNoNo1UFAPro & Farm1,300,000$1,300,000$1,300,000$NoLink / NHL Link
Conor GarlandLW/RW301996-03-11No165 Lbs5 ft10NoNoNo4UFAPro & Farm4,950,000$4,950,000$4,950,000$NoLink / NHL Link
Gustav NyquistC/LW/RW371989-09-01No180 Lbs5 ft11YesNoNo2UFAPro & Farm4,000,000$4,000,000$4,000,000$NoLink / NHL Link
Jake AllenG361990-08-07No197 Lbs6 ft2NoNoNo2UFAPro & Farm1,266,000$1,266,000$1,266,000$NoLink / NHL Link
Jake McCabeD321993-10-12No210 Lbs6 ft1NoNoNo1UFAPro & Farm4,000,000$4,000,000$4,000,000$NoLink / NHL Link
Jake NeighboursLW242002-03-29No201 Lbs6 ft0NoNoNo2RFAPro & Farm3,750,000$3,750,000$3,750,000$NoLink / NHL Link
James van RiemsdykLW371989-05-04No210 Lbs6 ft3NoNoNo1UFAPro & Farm4,250,000$4,250,000$4,250,000$NoLink / NHL Link
Johnathan KovacevicD291997-07-12No223 Lbs6 ft5NoNoNo2UFAPro & Farm766,667$766,667$766,667$NoLink / NHL Link
Jonathan DrouinC/LW/RW311995-03-28No189 Lbs5 ft11NoNoNo5UFAPro & Farm4,000,000$4,000,000$4,000,000$NoLink / NHL Link
Kevin ShattenkirkD371989-01-29No203 Lbs6 ft0NoNoNo1UFAPro & Farm925,250$925,250$925,250$NoLink / NHL Link
Luke KuninC/RW281997-12-04No197 Lbs6 ft0NoNoNo3UFAPro & Farm2,750,000$2,750,000$2,750,000$NoLink / NHL Link
Max DomiC/LW311995-03-02No208 Lbs5 ft10NoNoNo2UFAPro & Farm3,000,000$3,000,000$3,000,000$NoLink / NHL Link
Mike Matheson (Out of Payroll)D321994-02-27No196 Lbs6 ft2NoNoNo1UFAPro & Farm4,875,000$0$0$YesLink / NHL Link
Nicolas RoyC291997-02-05No200 Lbs6 ft4NoNoNo1UFAPro & Farm750,000$750,000$750,000$NoLink / NHL Link
Rasmus SandinD262000-03-07No189 Lbs5 ft11NoNoNo5RFAPro & Farm4,600,000$4,600,000$4,600,000$NoLink / NHL Link
Tomas NosekC/LW341992-09-01No199 Lbs6 ft3NoNoNo3UFAPro & Farm875,555$875,555$875,555$NoLink / NHL Link
Tyler Bertuzzi (Out of Payroll)LW/RW311995-02-24No200 Lbs6 ft2NoNoNo1UFAPro & Farm4,750,000$0$0$YesLink / NHL Link
Zach WhitecloudD291996-11-28No210 Lbs6 ft2NoNoNo2UFAPro & Farm2,750,000$2,750,000$2,750,000$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2231.64198 Lbs6 ft12.273,181,067$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
69,983,472$46,708,222$24,675,555$18,550,000$13,600,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan Drouin40122
2James van RiemsdykAlexander WennbergConor Garland30122
3Jake NeighboursMax DomiGustav Nyquist20122
4Tomas NosekNicolas RoyCarl Grundstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake McCabeRasmus Sandin40122
2Zach WhitecloudJohnathan Kovacevic30122
3Kevin ShattenkirkNicolas Roy20122
4Jake McCabeRasmus Sandin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonathan Drouin60122
2James van RiemsdykAlexander WennbergConor Garland40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake McCabeRasmus Sandin60122
2Zach WhitecloudJohnathan Kovacevic40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Alexander WennbergJames van Riemsdyk40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake McCabeRasmus Sandin60122
2Zach WhitecloudJohnathan Kovacevic40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jake McCabeRasmus Sandin60122
240122Zach WhitecloudJohnathan Kovacevic40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Alexander WennbergJames van Riemsdyk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake McCabeRasmus Sandin60122
2Zach WhitecloudJohnathan Kovacevic40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonathan DrouinJake McCabeRasmus Sandin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonathan DrouinJake McCabeRasmus Sandin
Extra Forwards
Normal PowerPlayPenalty Kill
Luke Kunin, Jake Neighbours, Max DomiLuke Kunin, Jake NeighboursMax Domi
Extra Defensemen
Normal PowerPlayPenalty Kill
Kevin Shattenkirk, Zach Whitecloud, Johnathan KovacevicKevin ShattenkirkZach Whitecloud, Johnathan Kovacevic
Penalty Shots
, , Alexander Wennberg, James van Riemsdyk, Jake Neighbours
Goalie
#1 : Jake Allen, #2 : Cam Talbot
Custom OT Lines Forwards
, , Alexander Wennberg, James van Riemsdyk, Jake Neighbours, Jonathan Drouin, Jonathan Drouin, Conor Garland, Max Domi, Gustav Nyquist, Nicolas Roy
Custom OT Lines Defensemen
Jake McCabe, Rasmus Sandin, Zach Whitecloud, Johnathan Kovacevic, Kevin Shattenkirk


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1014W2305686269267818323402
All Games
GPWLOTWOTL SOWSOLGFGA
105320003026
Home Games
GPWLOTWOTL SOWSOLGFGA
52120001411
Visitor Games
GPWLOTWOTL SOWSOLGFGA
53200001615
Last 10 Games
WLOTWOTL SOWSOL
730000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
42819.05%36488.89%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8677104291092
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
17032053.13%16932452.16%8216450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2431732327312463


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2026-09-024Flames3Blues1WBoxScore
2 - 2026-09-0319Flames3Maple Leafs2WBoxScore
4 - 2026-09-0543Penguins2Flames3WBoxScore
5 - 2026-09-0659Devils4Flames5WXBoxScore
7 - 2026-09-0869Stars4Flames1LBoxScore
8 - 2026-09-0981Ducks0Flames3WBoxScore
10 - 2026-09-1198Flames3Rangers6LBoxScore
11 - 2026-09-12115Flames1Canucks6LBoxScore
13 - 2026-09-14142Lightning1Flames2WXBoxScore
14 - 2026-09-15147Flames6Blue Jackets0WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity74503600450018001150
Ticket Price1771019150235
Attendance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$18500100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
0$ 69,983,472$ 69,983,472$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0$ 19 3

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 0$ 95,047,598$ 95,047,598$



Depth Chart

Left WingCenterRight Wing
Brayden SchennAGE:35PO:45OV:72
Tyler BertuzziAGE:31PO:54OV:71
Jake NeighboursAGE:24PO:78OV:70
James van RiemsdykAGE:37PO:41OV:70
Jonathan DrouinAGE:31PO:69OV:69
Conor GarlandAGE:30PO:47OV:69
Max DomiAGE:31PO:66OV:68
Gustav NyquistAGE:37PO:26OV:68
Tomas NosekAGE:34PO:23OV:66
Andrew MangiapaneAGE:30PO:39OV:65
Jeffrey VielAGE:29PO:36OV:63
Charles HudonAGE:32PO:40OV:42
Brayden SchennAGE:35PO:45OV:72
Alexander WennbergAGE:31PO:52OV:71
Jonathan DrouinAGE:31PO:69OV:69
Max DomiAGE:31PO:66OV:68
Nicolas RoyAGE:29PO:52OV:68
Gustav NyquistAGE:37PO:26OV:68
Luke KuninAGE:28PO:68OV:66
Tomas NosekAGE:34PO:23OV:66
Laurent DauphinAGE:31PO:59OV:64
Jake LucchiniAGE:31PO:34OV:63
Daniel AudetteAGE:30PO:40OV:42
Philippe MailletAGE:33PO:40OV:42
Peter AbbandonatoAGE:28PO:40OV:42
Brayden SchennAGE:35PO:45OV:72
Tyler BertuzziAGE:31PO:54OV:71
Jonathan DrouinAGE:31PO:69OV:69
Conor GarlandAGE:30PO:47OV:69
Gustav NyquistAGE:37PO:26OV:68
Luke KuninAGE:28PO:68OV:66
Carl GrundstromAGE:28PO:56OV:66
Andrew MangiapaneAGE:30PO:39OV:65
Charles HudonAGE:32PO:40OV:42

Defense #1Defense #2Goalie
Mike MathesonAGE:32PO:50OV:72
Rasmus SandinAGE:26PO:75OV:69
Jake McCabeAGE:32PO:44OV:69
Zach WhitecloudAGE:29PO:35OV:67
Johnathan KovacevicAGE:29PO:53OV:66
Kevin ShattenkirkAGE:37PO:40OV:43
John MooreAGE:35PO:40OV:42
Jake AllenAGE:36PO:49OV:75
Cam TalbotAGE:39PO:46OV:74

Prospects

Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Prospect Team NameDraft Year Overall Pick Information Lien
Alexander CommandFlames202622
Bill ZonnonFlames202527
Cameron RoweFlames2019243
Carter GeorgeFlames202452
Cole EisermanFlames202411
Eric FlorchukFlames2018179
Etienne MorinFlames202333
Giovanni VallatiFlames2018161
Jack GorniakFlames2018192
Jack NesbittFlames202528
Justin CarbonneauFlames202513
Lavr GashilovFlames202671
Ondrej BecherFlames202485
Parker SnellFlames2026167
Vladislav KotkovFlames201855
William HorcoffFlames202553
Zac OlsenFlames2026131

Draft Picks

Year R1R2R3R4R5R6R7
2027CGY TBL MIN CGY TOR WPG CGY DAL TOR DET CHI OTT SEA CGY VAN PIT WPG CGY SEA EDM OTT CGY WPG CGY WPG OTT
2028CGY CGY CGY CGY CGY CGY CGY SJS
2029CGY CGY CGY CGY CGY CGY CGY
2030CGY CGY CGY CGY CGY CGY CGY
2031CGY CGY CGY CGY CGY CGY CGY



[2026-09-07 06:41:03] - Gustav Nyquist was added to Flames.
[2026-09-07 06:41:03] - Flames claimed Gustav Nyquist from waivers by Mammoth for $0.
[2026-09-05 09:02:29] - Flames show interest in Gustav Nyquist from waiver.
[2026-07-19 14:18:05] - Antoine Bibeau was released by Flames
[2026-07-19 14:17:47] - Brian Elliott was released by Flames
[2026-07-19 14:17:07] - Brennan Menell was released by Flames
[2026-07-19 14:16:43] - Connor Carrick was released by Flames
[2026-07-19 14:16:06] - Martin Jones was released by Flames
[2026-07-19 14:15:42] - Nathan Beaulieu was released by Flames
[2026-06-30 19:47:07] - TRADE : From Flames to Blue Jackets : Tommy Bleyl (P).
[2026-06-30 19:47:07] - TRADE : From Blue Jackets to Flames : Y:2027-RND:1-TBL, Y:2027-RND:3-CHI.
[2026-06-25 20:23:28] - Jeffrey Viel was added to Flames.
[2026-06-15 14:26:30] - TRADE : From Flames to Panthers : Y:2027-RND:4-PHI.
[2026-06-15 14:26:30] - TRADE : From Panthers to Flames : Y:2027-RND:4-PIT.
[2026-06-15 13:13:24] - Justin Faulk was released.
[2026-06-15 13:13:24] - Flames paid $0 to release Justin Faulk.
[2026-06-14 20:01:27] - Oliver Bjorkstrand was released.
[2026-06-14 20:01:27] - Flames paid $0 to release Oliver Bjorkstrand.
[2026-06-07 11:36:42] - Parker Snell has been added to Flames.
[2026-06-07 11:18:11] - TRADE : From Mammoth to Flames : Y:2027-RND:5-EDM.
[2026-06-05 07:18:20] - Zac Olsen has been added to Flames.
[2026-06-04 15:52:58] - TRADE : From Canucks to Flames : Y:2027-RND:4-VAN.
[2026-05-31 20:29:35] - TRADE : From Jets to Flames : Y:2027-RND:3-DET.
[2026-05-31 20:29:35] - TRADE : From Flames to Jets : Y:2026-RND:4-CGY, Y:2026-RND:5-CGY.
[2026-05-31 19:32:13] - TRADE : From Sharks to Flames : Y:2027-RND:3-TOR.
[2026-05-31 19:32:13] - TRADE : From Flames to Sharks : Y:2026-RND:4-PIT, Y:2026-RND:4-PHI.
[2026-05-31 19:31:24] - TRADE : From Wild to Flames : Y:2027-RND:3-DAL.
[2026-05-31 19:31:24] - TRADE : From Flames to Wild : Y:2026-RND:4-CBJ.
[2026-05-30 16:01:28] - Flames drafts Lavr Gashilov as the #71 overall pick in the Entry Draft of year 2026.
[2026-05-29 19:52:50] - TRADE : From Flames to Stars : Y:2026-RND:3-CBJ.
[2026-05-29 19:52:50] - TRADE : From Stars to Flames : Ondrej Becher (P), Y:2027-RND:4-PHI.
[2026-05-27 18:46:48] - Flames drafts Tommy Bleyl as the #34 overall pick in the Entry Draft of year 2026.
[2026-05-27 07:59:18] - TRADE : From Flames to Kraken : Y:2026-RND:2-CGY.
[2026-05-27 07:59:18] - TRADE : From Kraken to Flames : Y:2027-RND:2-MIN, Y:2027-RND:4-SEA, Y:2027-RND:5-SEA.
[2026-05-26 14:26:53] - Flames drafts Alexander Command as the #22 overall pick in the Entry Draft of year 2026.
[2026-05-22 19:13:32] - TRADE : From Flames to Jets : Y:2026-RND:1-CGY.
[2026-05-22 19:13:32] - TRADE : From Jets to Flames : Cole Eiserman (P), Y:2026-RND:1-VGK.



OverallHomeVisitor
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
Regular Season
20178233280678024822325411714052301311151641161401550117108910124839964742628884182209625733817602210732912148735810529.33%3969077.27%51013173958.25%1056185057.08%614109456.12%170588416838041595816
2018824323063432481925641241203110124913341191103233124101231122484476951884837111233175975879345208764153715933085919.16%2273385.46%31537276755.55%1357251653.93%666122654.32%2047145318995821020521
2019823827044452242101441171502322108104441211202123116106101012244056291589695818253685079985177225866970117083406017.65%2965681.08%21565293053.41%1461269254.27%629117853.40%2016141119356021028515
202082343404622230231-141181502411115106941161902211115125-1088230411641247684647233676978874250234768572619362696223.05%3125582.37%31443276852.13%1491284052.50%651122853.01%1979137319486031042514
202182343505521219238-1941201601211107112-541141904310112126-148821940462313074548423290775749782253367672918772924114.04%3095980.91%31362277249.13%1504294651.05%595122848.45%1969136819686011022506
2022822838031012220268-4841161701511111133-2241122102501109135-267622040562542080627422890769739748252770266918502554919.22%2825580.50%31380271450.85%1444300048.13%619124449.76%1932134820046051024504
2023823836020332642640412015020221491361341182100011115128-138926447674033094917425770829877852263777876418293035718.81%3286978.96%71480294750.22%1544305150.61%663126052.62%1963135919676011023510
202482303502951196220-244116180133092104-1241141701621104116-128419635254816070546521110685709689245071875619023005819.33%3304486.67%11389269151.62%1489294350.59%584120248.59%1961134819686101050520
202582244003555193234-414115190203298107-9419210152395127-327419333252502066605920770706673655243069266818152773713.36%2915780.41%21302259750.13%1476288951.09%603122149.39%1970137219806031040518
2026105302000302645210200014113532000001615114305686029109226986771042267818323442819.05%36488.89%117032053.13%16932452.16%8216450.00%2431732327312463
Total Regular Season74830729903749342220722106-3437416514202120179104910193037414215701629171310231087-648272072368757591737320718607412210643089691970543960217466374654516231274453619.53%280752281.40%30126412424552.14%129912505151.86%57061104551.66%177891209317589568999744992
Playoff
20171165000002327-4642000001314-1523000001013-31223376010261322967090125113131169220546919.57%461273.91%014825158.96%15327156.46%7613655.88%240126249109211110
20181055000002428-4541000001511451400000917-8102445691079803421121021271278848121639512.82%32778.13%019941747.72%17833752.82%9416556.97%2401652487412864
201940400000814-62020000047-32020000047-3081523104220138394455012633459216318.75%19289.47%08516152.80%7014548.28%386459.38%946395294924
Total Playoff251114000005569-14138500000323201239000002337-14225597152301317232776221236307127172332185131011716.83%972178.35%043282952.11%40175353.25%20836556.99%575356593213390199