Crunch

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 17 | GA: 22 | PP%: 15.38% | PK%: 73.33%
GM : Jean-Francois Dumas | Morale : 75 | Team Overall : 62
Next Games #51 vs Phantoms

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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.
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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
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
1Drew O'Connor (R)0X100.00724186688380836462666563666567075660
2Luke Philp0X100.00643788656788846770666461656968075650
3Bobby McMann (R)0X100.00723990648287796371616462646867075640
4Chase DeLeo0X100.00733689666689746569646360666968075640
5Jayson Megna0X100.00674190647675836381606167627475075640
6Arnaud Durandeau (R)0X100.00613784647189866365616260636466075630
7Tanner Kero0X100.00613887627178826477655861607173075630
8Cole Maier0X100.00674272607688825966586160636870075620
9Ethen Frank0X100.00603691626990716159586657646567075620
10Brandon Gignac (R)0XX100.00573692626682786365625958606668075620
11Seth Griffith0XXX100.00623680626777866474655758617072075620
12Noah Philp0X100.00744174578375735662575860576567075610
13Scott Harrington0X100.00714389628185806330686267527173075650
14Derrick Pouliot0X100.00664072677484786630715861507071075640
15Vincent Iorio (R)0X100.00723995628680726330685861506163075640
16Nikita Okhotiuk (R)0X100.00794370637680786230606461526364075630
17Kyle Capobianco (R)0X100.00623676668186706530646057526567075630
18Linus Hogberg (R)0X100.00623791647381755930685264476567075620
19Libor Hajek (R)0X100.00704275638278715830605961506567075620
Scratches
1Brayden Burke (R)0XX100.00563785616571706266645756616668075610
2Nathan Burke0X100.00694174607879605960566158606567075610
3Robert Lynch (R)0X100.00663793597578805660575855566567075610
4Tyce Thompson (R)0X100.00613880607281745955586059616466075610
5Taylor Ward0X100.00734180588278765661595758576567075610
6Danick Martel0X100.00573971586690785761595756606971075600
7Greg Printz (R)0X100.00754370558472845460555658536567075600
8Matthew Strome (R)0X100.00794183588870785655545359536466075600
9Samuel Helenius (R)0X100.00844373539366735262555360526163075590
10Daniel D'Amato0X100.00633891547269645558575254586264075580
11Michael Milne (R)0X100.00603694546975705354555552546163075580
12Drew Helleson (R)0X94.45694176638179756230586057616264075620
13Declan Chisholm (R)0X100.00633889627879815730645358486365075610
14Jeremie Poirier (R)0X91.34684076617783725830655659496163075610
15Noel Hoefenmayer (R)0X100.00644460597372735830635560486466075600
16Jett Woo (R)0X100.00664268557569805330555457466365075580
TEAM AVERAGE99.5967398261768076605261595957666707562
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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
1Erik Kallgren (R)100.0075797683747375747375746777075660
2Callum Booth (R)100.0075555683747375747375746675075650
Scratches
1Lukas Dostal (R)100.0074828175737274737274736369075640
2Isaac Poulter100.0067585975666567666567666267075600
TEAM AVERAGE100.007369687972717372717372657207564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mitch Love73727463585588CAN381500,000$


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
1Drew O'ConnorCrunch (TBL)LW643705514182871614.29%215025.091018210002150051.35%3700000.9300001000
2Chase DeLeoCrunch (TBL)C643710012201971321.05%110818.1200000000002047.73%13200001.2900000201
3Seth GriffithCrunch (TBL)C/LW/RW605514047128140.00%113722.94000321000040057.14%1400000.7300000000
4Vincent IorioCrunch (TBL)D6134-2203280312.50%611118.561123900000100.00%000000.7200000010
5Derrick PouliotCrunch (TBL)D2033000441110.00%54221.000110300002000.00%000001.4300000000
6Kyle CapobiancoCrunch (TBL)D6033-10011104280.00%712921.6201111200009000.00%000000.4600000000
7Bobby McMannCrunch (TBL)LW6112-300710263113.85%113422.450119220002150044.44%900000.3000000000
8Arnaud DurandeauCrunch (TBL)LW6202-500611247208.33%110818.05101522000060053.49%4300000.3700000000
9Jeremie PoirierCrunch (TBL)D4022-120142010.00%45513.780110000006000.00%000000.7300000010
10Brandon GignacCrunch (TBL)C/LW6202-300110110718.18%37612.68000111000000062.50%4000000.5300000001
11Luke PhilpCrunch (TBL)C6112-220518344182.94%011919.980111221000000045.68%16200000.3300000000
12Robert LynchCrunch (TBL)RW4112-2202141325.00%15112.8300000000020044.44%900000.7800000010
13Tyce ThompsonCrunch (TBL)RW4022100134210.00%1287.050000000000000.00%100001.4200000000
14Cole MaierCrunch (TBL)C210100000102100.00%021.481011000000010.00%000006.7400000000
15Nathan BurkeCrunch (TBL)LW4011200412360.00%1215.480000000000000.00%100000.9100000000
16Tanner KeroCrunch (TBL)C6011-400414115100.00%17512.5900000000000054.74%9500000.2600000000
17Drew HellesonCrunch (TBL)D6011-14010410480.00%512621.04000421000010000.00%000000.1600000000
18Taylor WardCrunch (TBL)RW4011-200856050.00%16817.03000310000000033.33%300000.2900000000
19Ethen FrankCrunch (TBL)C2000000000100.00%000.210000000000000.00%000000.0000000000
20Linus HogbergCrunch (TBL)D2000000000000.00%052.740000100000000.00%000000.0000000000
21Scott HarringtonCrunch (TBL)D6000-640101420560.00%1214524.20000101900007000.00%000000.0000000000
22Libor HajekCrunch (TBL)D2000000000000.00%000.310000000000000.00%000000.0000000000
23Nikita OkhotiukCrunch (TBL)D6000213517514550.00%514023.3400041900008000.00%000000.0000010000
24Jayson MegnaCrunch (TBL)C2000000237450.00%03718.620000000000000.00%100000.0000000000
Team Total or Average110173148-253810126164248691636.85%58187717.074610642180004903149.91%54700000.5100011232
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
1Erik KallgrenCrunch (TBL)63300.8803.3833720191580100.000060100
2Callum BoothCrunch (TBL)20000.8704.1943003230000.000006000
Team Total or Average83300.8783.4738020221810100.000066100


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
Arnaud DurandeauLW241/14/1999Yes185 Lbs6 ft0NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Bobby McMannLW276/15/1996Yes208 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Brandon GignacC/LW2611/7/1997Yes170 Lbs5 ft11NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Brayden BurkeC/LW261/1/1997Yes165 Lbs5 ft11NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Callum BoothG265/21/1997Yes184 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Chase DeLeo (1 Way Contract)C2810/25/1995No185 Lbs5 ft9NoNoNo1UFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Cole MaierC286/24/1995No194 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Danick MartelLW2912/12/1994No184 Lbs5 ft9NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Daniel D'AmatoLW224/8/2001No175 Lbs6 ft1NoNoNo3ELCPro & Farm775,000$0$0$NoLink / NHL Link
Declan ChisholmD231/12/2000Yes185 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Derrick Pouliot (1 Way Contract)D291/16/1994No196 Lbs6 ft0NoNoNo1UFAPro & Farm1,000,000$1,000,000$76,923$NoLink / NHL Link
Drew HellesonD223/26/2001Yes190 Lbs6 ft3NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Drew O'ConnorLW256/9/1998Yes200 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Erik Kallgren (1 Way Contract)G2710/14/1996Yes200 Lbs6 ft3NoNoNo2RFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Ethen Frank (1 Way Contract)C252/5/1998No185 Lbs5 ft11NoNoNo2RFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Greg PrintzLW255/4/1998Yes218 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Isaac PoulterG229/12/2001No174 Lbs6 ft2NoNoNo3ELCPro & Farm775,000$0$0$NoLink / NHL Link
Jayson Megna (1 Way Contract)C332/1/1990No195 Lbs6 ft1NoNoNo1UFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Jeremie Poirier (Out of Payroll)D216/2/2002Yes196 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$YesNHL Link
Jett WooD237/27/2000Yes205 Lbs6 ft0NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Kyle CapobiancoD268/13/1997Yes201 Lbs6 ft2NoNoNo1RFAPro & Farm961,200$0$0$NoLink / NHL Link
Libor Hajek (1 Way Contract)D252/4/1998Yes209 Lbs6 ft2NoNoNo2RFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Linus HogbergD259/4/1998Yes176 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Lukas DostalG236/22/2000Yes174 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Luke Philp (1 Way Contract)C2811/6/1995No181 Lbs5 ft10NoNoNo2UFAPro & Farm1,500,000$1,500,000$115,385$NoLink / NHL Link
Matthew StromeLW241/6/1999Yes206 Lbs6 ft4NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Michael MilneLW219/21/2002Yes185 Lbs5 ft11NoNoNo1ELCPro & Farm550,000$0$0$NoNHL Link
Nathan BurkeLW2512/21/1998No190 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Nikita OkhotiukD2312/4/2000Yes195 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Noah PhilpLW258/31/1998No198 Lbs6 ft3NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Noel HoefenmayerD241/6/1999Yes191 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Robert LynchRW256/16/1998Yes172 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Samuel HeleniusC2111/26/2002Yes201 Lbs6 ft6NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Scott Harrington (1 Way Contract)D303/10/1993No204 Lbs6 ft2NoNoNo1UFAPro & Farm1,100,000$1,100,000$84,615$NoLink / NHL Link
Seth GriffithC/LW/RW301/4/1993No190 Lbs5 ft9NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Tanner KeroC317/24/1992No185 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Taylor WardRW253/31/1998No207 Lbs6 ft2NoNoNo2RFAPro & Farm775,000$0$0$NoLink / NHL Link
Tyce ThompsonRW247/12/1999Yes175 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Vincent IorioD2111/14/2002Yes200 Lbs6 ft4NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3925.31191 Lbs6 ft11.69949,005$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drew O'ConnorChase DeLeoSeth Griffith40122
2Bobby McMannLuke PhilpJayson Megna30122
3Arnaud DurandeauTanner KeroBrandon Gignac20122
4Drew O'ConnorBrandon GignacLuke Philp10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott HarringtonDerrick Pouliot40122
2Nikita OkhotiukVincent Iorio30122
3Kyle CapobiancoLinus Hogberg20122
4Nikita OkhotiukScott Harrington10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drew O'ConnorLuke PhilpSeth Griffith60122
2Bobby McMannArnaud DurandeauBrandon Gignac40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Derrick PouliotVincent Iorio60122
2Nikita OkhotiukScott Harrington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Drew O'ConnorBobby McMann60122
2Seth GriffithArnaud Durandeau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott HarringtonDerrick Pouliot60122
2Nikita OkhotiukVincent Iorio40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Drew O'Connor60122Derrick PouliotLinus Hogberg60122
2Bobby McMann40122Nikita OkhotiukScott Harrington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Drew O'ConnorBobby McMann60122
2Seth GriffithArnaud Durandeau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Scott HarringtonKyle Capobianco60122
2Nikita OkhotiukDerrick Pouliot40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drew O'ConnorLuke PhilpSeth GriffithScott HarringtonDerrick Pouliot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Drew O'ConnorLuke PhilpSeth GriffithScott HarringtonDerrick Pouliot
Extra Forwards
Normal PowerPlayPenalty Kill
Drew O'Connor, Brandon Gignac, Seth GriffithDrew O'Connor, Brandon GignacDrew O'Connor
Extra Defensemen
Normal PowerPlayPenalty Kill
Scott Harrington, Kyle Capobianco, Nikita OkhotiukNikita OkhotiukScott Harrington, Nikita Okhotiuk
Penalty Shots
Drew O'Connor, Bobby McMann, Brandon Gignac, Arnaud Durandeau, Seth Griffith
Goalie
#1 : Erik Kallgren, #2 : Callum Booth
Custom OT Lines Forwards
Drew O'Connor, Bobby McMann, Chase DeLeo, Arnaud Durandeau, Luke Philp, Tanner Kero, Tanner Kero, Seth Griffith, Brandon Gignac, Jayson Megna, Ethen Frank
Custom OT Lines Defensemen
Kyle Capobianco, Linus Hogberg, Nikita Okhotiuk, Scott Harrington, Libor Hajek


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
66W1173148248181584012600
All Games
GPWLOTWOTL SOWSOLGFGA
63300001722
Home Games
GPWLOTWOTL SOWSOLGFGA
3120000814
Visitor Games
GPWLOTWOTL SOWSOLGFGA
321000098
Last 10 Games
WLOTWOTL SOWSOL
330000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
26415.38%15473.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7979711910511
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11924348.97%11420555.61%409940.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
153108142488341


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
1 - 2024-04-183Phantoms6Crunch2LBoxScore
3 - 2024-04-2011Phantoms3Crunch4WBoxScore
5 - 2024-04-2219Crunch3Phantoms1WBoxScore
7 - 2024-04-2427Crunch2Phantoms4LBoxScore
9 - 2024-04-2635Phantoms5Crunch2LBoxScore
11 - 2024-04-2843Crunch4Phantoms3WXBoxScore
13 - 2024-04-3051Phantoms-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2817
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 3000 - 100.00% 91,250$273,750$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,591,120$ 2,503,620$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$




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
23823337001110289324-3541171800510144164-2041161900600145160-1579289506795101208979230071009992982313841107949421442213817.19%2183982.11%11183292240.49%1413380637.13%558136240.97%166011482297603994452
202282362907523319290294121130410216714225411516034211521484983195879060013510174102962101196095554298483055019262506726.80%2305177.83%21569290554.01%1667306054.48%750139253.88%2012141119135851047535
202382412307425328256724125110021218312162411612072131451351010932860693415111113951231399681055105383275979647819182674918.35%2053682.44%31672309554.02%1501285352.61%765141354.14%2053144918645851061546
Total Regular Season246110890142058936870661236342048244944276712347470101234442443-12869361699263525366303248249108298830072990168958427051522598873815420.87%65312680.70%64424892249.59%4581971947.13%2073416749.75%572640106074177431031533
Playoff
2022137600000484806420000024195734000002429-51448861340016191214461271581412047716010128240922.50%38781.58%023746451.08%25652748.58%10921650.46%3152183199917284
2023633000001722-531200000814-6321000009816173148001051124879797119181584012626415.38%15473.33%011924348.97%11420555.61%409940.40%153108142488341
Total Playoff19109000006570-5954000003233-11055000003337-4206511718200262413269420623721239658218141408661319.70%531179.25%035670750.35%37073250.55%14931547.30%469326461148256126