Phantoms
GP: 7 | W: 3 | L: 4
GF: 16 | GA: 23 | PP%: 9.52% | PK%: 90.91%
GM : Samuel Bessette | Morale : 75 | Team Overall : 62
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Phantoms
3-4-0, 6pts
3
FINAL
2 Penguins
11-9-0, 22pts
Team Stats
L1StreakL2
2-2-0Home Record5-4-0
1-2-0Away Record6-5-0
3-4-0Last 10 Games5-5-0
2.29Goals Per Game3.15
3.29Goals Against Per Game3.20
9.52%Power Play Percentage16.67%
90.91%Penalty Kill Percentage80.65%
Penguins
11-9-0, 22pts
4
FINAL
2 Phantoms
3-4-0, 6pts
Team Stats
L2StreakL1
5-4-0Home Record2-2-0
6-5-0Away Record1-2-0
5-5-0Last 10 Games3-4-0
3.15Goals Per Game2.29
3.20Goals Against Per Game3.29
16.67%Power Play Percentage9.52%
80.65%Penalty Kill Percentage90.91%
Team Leaders
Pheonix CopleyWins
Pheonix Copley
3
Pheonix CopleySave Percentage
Pheonix Copley
0.906

Team Stats
Goals For
16
2.29 GFG
Shots For
222
31.71 Avg
Power Play Percentage
9.5%
2 GF
Offensive Zone Start
44.0%
Goals Against
23
3.29 GAA
Shots Against
217
31.00 Avg
Penalty Kill Percentage
90.9%
2 GA
Defensive Zone Start
38.7%
Team Info

General ManagerSamuel Bessette
CoachLindy Ruff
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team34
Farm Team21
Contract Limit55 / 80
Prospects58


Team History

This Season3-4
History49-27-13 (0.551%)
Playoff Appearances0
Playoff Record (W-L)3-4
Stanley Cup0


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 SPAgeContractSalary
1Cody Glass0X100.00563594728579827180686663736467075670222925,000$
2Wade Allison (R)0X100.00803691688179776758666965646765075670243925,000$
3Nicolas Aube-Kubel0X100.00884476697087836657686459676966075660251700,000$
4Michael Rasmussen0XXX100.00836279649883716675686266646365075660221850,000$
5Gerald Mayhew0XX100.00683594666273746668646665667772075650293925,000$
6Jack Studnicka0X100.00583587667286856573666268656362075640222925,000$
7Nathan Walker0X100.00793985646783716559616658647367075640271750,000$
8Kevin Roy0X100.00553986636485906368656157627568075630281950,000$
9Axel Jonsson-Fjallby0X100.00593590626883886055586359646663075620232925,000$
10Jack Quinn (R)0X100.00623582667281766358645956656159075620203925,000$
11Kristian Reichel0X100.00593986616873785956586057596566075610233925,000$
12Alex Biega0X100.008739867072827863306658675382730756603311,775,000$
13Bowen Byram (R)0X100.00805668757786827230685566536267075660203925,000$
14Matt Benning0X100.00786285667885906430675673487367075660272950,000$
15Travis Dermott0X100.00753383727583876530686266526966075660251834,100$
16Jake Bischoff0X100.00725471657584786230605762507370075630271800,000$
17Max Gildon (R)0X100.00733872608278835930675361476362075620223925,000$
18Samuel Bolduc (R)0X100.00826986578970755830605962496163075620213925,000$
Scratches
1Drew Shore (R)0X100.00614384588273775770595862597865075610303925,000$
2Ivan Chekhovich0XX100.00503595636780746456625960646362075610222925,000$
3William Lockwood (R)0X100.00814371576776715855596061586563075610233925,000$
4Rourke Chartier (R)0X100.00613593577074795863565459556965075600253925,000$
5Cameron Hillis (R)0X100.00623593576874695862555652576163075590213925,000$
6Ryan Bourque0X100.00573689566685905455525653577870075590303925,000$
7Jamieson Rees (R)0X100.00586160586775805870566155586062075590203925,000$
8Matthew Struthers (R)0X100.00703682547965705356525557546362075580223925,000$
9Kyle Burroughs0X100.00725471597372735830615662487166075610262800,000$
10Kaedan Korczak (R)0X100.00735175598260655830565157456060075590203925,000$
11Wyatte Wylie (R)0X100.00634284577267725830595355466362075590223925,000$
12Dawson Barteaux (R)0X100.00653593567471765430525355476163075580213925,000$
13Brayden Pachal0X100.007056695473768152305653605163620755802221,000,000$
TEAM AVERAGE100.0069438362747878615061596157676507562
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 SPAgeContractSalary
1Pheonix Copley100.0074878586737274737274737783075660293950,000$
2Matt Villalta (R)100.0069737176686769686769686165075610222850,000$
Scratches
1Dylan Garand (R)100.0062757970616062616062616264075570193925,000$
TEAM AVERAGE100.006878787767666867666867677107561
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lindy Ruff76788179928553CAN612900,000$


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
1Bowen ByramPhantoms (PHI)D7145-460141016456.25%2214520.800221019000017100.00%000000.6900000002
2Jack StudnickaPhantoms (PHI)C7325-5204172371013.04%113118.85000718000001053.94%16500000.7600000001
3Nicolas Aube-KubelPhantoms (PHI)RW7145-3202110162146.25%112918.550113140001120041.67%1200000.7700000000
4Kevin RoyPhantoms (PHI)LW722440016182511.11%111115.9400000000000046.60%10300000.7200000000
5Nathan WalkerPhantoms (PHI)LW722446017131351515.38%010414.9700000000021040.00%500000.7600000100
6Matt BenningPhantoms (PHI)D7044-600101112350.00%917124.45000718000019000.00%000000.4700000000
7Jack QuinnPhantoms (PHI)RW703342068116110.00%010715.3000000000160030.00%1000000.5600000000
8Wade AllisonPhantoms (PHI)RW7213-6201210233218.70%115922.710003190000230053.85%1300000.3800000020
9Travis DermottPhantoms (PHI)D7123-42097114109.09%1414821.24112519000019000.00%000000.4000000000
10Gerald MayhewPhantoms (PHI)LW/RW7112-50056197115.26%113118.83000518000000042.86%700000.3000000000
11Michael RasmussenPhantoms (PHI)C/LW/RW7112-6100255116199.09%014721.060002190000110046.67%1500000.2700000000
12Jake BischoffPhantoms (PHI)D71123609884312.50%89914.240000000000000.00%000000.4000000010
13Alex BiegaPhantoms (PHI)D7011-5201657480.00%915321.97000418000018000.00%000000.1300000000
14Kristian ReichelPhantoms (PHI)RW7101-20010100100.00%0182.5710113000000075.00%400001.1100000000
15Cody GlassPhantoms (PHI)C7011-600318283200.00%117024.400003190003240052.76%25400000.1200000000
16Max GildonPhantoms (PHI)D70113201541010.00%510314.750000000004000.00%000000.1900000000
17Axel Jonsson-FjallbyPhantoms (PHI)RW7000020003000.00%0131.960000000000000.00%100000.0000000000
18Samuel BolducPhantoms (PHI)D7000-100011110.00%0213.140000000000000.00%000000.0000000000
Team Total or Average126163046-35440168139222611597.21%73207016.432465019000051613051.10%58900000.4400000133
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
1Pheonix CopleyPhantoms (PHI)73400.9062.9239101192020110.000070200
2Matt VillaltaPhantoms (PHI)10000.7866.2129003140000.000007000
Team Total or Average83400.8983.1442101222160110.000077200


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 Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alex Biega (1 Way Contract)Phantoms (PHI)D334/4/1988No199 Lbs5 ft10NoNoYes1Pro & Farm1,775,000$550,000$1,775,000$0$NoLink / NHL Link
Axel Jonsson-FjallbyPhantoms (PHI)RW232/10/1998No170 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Bowen ByramPhantoms (PHI)D206/13/2001Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Brayden PachalPhantoms (PHI)D228/23/1999No200 Lbs6 ft0NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Link / NHL Link
Cameron HillisPhantoms (PHI)C216/24/2000Yes171 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Cody GlassPhantoms (PHI)C224/1/1999No206 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Dawson BarteauxPhantoms (PHI)D211/12/2000Yes185 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Drew ShorePhantoms (PHI)C301/29/1991Yes209 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Dylan GarandPhantoms (PHI)G196/7/2002Yes173 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Gerald MayhewPhantoms (PHI)LW/RW2912/31/1992No161 Lbs5 ft9NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Link / NHL Link
Ivan ChekhovichPhantoms (PHI)LW/RW221/4/1999No185 Lbs5 ft10NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Jack QuinnPhantoms (PHI)RW209/19/2001Yes176 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Jack StudnickaPhantoms (PHI)C222/18/1999No171 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Link / NHL Link
Jake BischoffPhantoms (PHI)D277/25/1994No188 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLink / NHL Link
Jamieson ReesPhantoms (PHI)C202/26/2001Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Kaedan KorczakPhantoms (PHI)D201/29/2001Yes192 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Kevin RoyPhantoms (PHI)LW285/20/1993No172 Lbs5 ft9NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink / NHL Link
Kristian ReichelPhantoms (PHI)RW236/11/1998No168 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Link / NHL Link
Kyle BurroughsPhantoms (PHI)D267/12/1995No193 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link / NHL Link
Matt BenningPhantoms (PHI)D275/25/1994No203 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Link / NHL Link
Matt VillaltaPhantoms (PHI)G226/3/1999Yes165 Lbs6 ft3NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$NHL Link
Matthew StruthersPhantoms (PHI)C2212/26/1999Yes191 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Max GildonPhantoms (PHI)D225/17/1999Yes194 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Michael RasmussenPhantoms (PHI)C/LW/RW224/17/1999No229 Lbs6 ft6NoNoNo1Pro & Farm850,000$700,000$0$0$NoLink / NHL Link
Nathan WalkerPhantoms (PHI)LW272/7/1994No186 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLink / NHL Link
Nicolas Aube-KubelPhantoms (PHI)RW255/10/1996No187 Lbs5 ft11NoNoNo1Pro & Farm700,000$700,000$0$0$NoLink / NHL Link
Pheonix CopleyPhantoms (PHI)G291/18/1992No198 Lbs6 ft4NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link / NHL Link
Rourke ChartierPhantoms (PHI)C254/3/1996Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Link
Ryan BourquePhantoms (PHI)LW301/3/1991No185 Lbs5 ft9NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$Link / NHL Link
Samuel BolducPhantoms (PHI)D2112/9/2000Yes213 Lbs6 ft4NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Travis DermottPhantoms (PHI)D2512/22/1996No205 Lbs6 ft0NoNoNo1Pro & Farm834,100$834,100$0$0$NoLink / NHL Link
Wade AllisonPhantoms (PHI)RW2410/14/1997Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
William LockwoodPhantoms (PHI)RW236/20/1998Yes172 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Wyatte WyliePhantoms (PHI)D2211/2/1999Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3423.94188 Lbs6 ft02.35928,209$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael RasmussenCody GlassWade Allison40122
2Gerald MayhewJack StudnickaNicolas Aube-Kubel30122
3Nathan WalkerKevin RoyJack Quinn20122
4Kevin RoyCody GlassAxel Jonsson-Fjallby10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningAlex Biega40122
2Travis DermottBowen Byram30122
3Jake BischoffMax Gildon20122
4Samuel BolducMatt Benning10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael RasmussenCody GlassWade Allison60122
2Gerald MayhewJack StudnickaNicolas Aube-Kubel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cody GlassWade Allison60122
2Michael RasmussenNicolas Aube-Kubel40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cody Glass60122Matt BenningAlex Biega60122
2Wade Allison40122Travis DermottBowen Byram40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cody GlassWade Allison60122
2Michael RasmussenNicolas Aube-Kubel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt BenningAlex Biega60122
2Travis DermottBowen Byram40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael RasmussenCody GlassWade AllisonMatt BenningAlex Biega
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael RasmussenCody GlassWade AllisonMatt BenningAlex Biega
Extra Forwards
Normal PowerPlayPenalty Kill
Kristian Reichel, Nathan Walker, Jack QuinnKristian Reichel, Nathan WalkerJack Quinn
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Bischoff, Max Gildon, Samuel BolducJake BischoffMax Gildon, Samuel Bolduc
Penalty Shots
Cody Glass, Wade Allison, Michael Rasmussen, Nicolas Aube-Kubel, Gerald Mayhew
Goalie
#1 : Pheonix Copley, #2 : Matt Villalta
Custom OT Lines Forwards
Cody Glass, Wade Allison, Michael Rasmussen, Nicolas Aube-Kubel, Gerald Mayhew, Nathan Walker, Nathan Walker, Jack Studnicka, Kevin Roy, Jack Quinn, Axel Jonsson-Fjallby
Custom OT Lines Defensemen
Matt Benning, Alex Biega, Travis Dermott, Bowen Byram, Jake Bischoff


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
OverallHomeVisitor
# VS Team 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 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
1Penguins734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
Total734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Since Last GM Reset734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Vs Conference734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
_Vs Division734000001623-7422000001110131200000513-860.429163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
76L1163046222217734416811
All Games
GPWLOTWOTL SOWSOLGFGA
73400001623
Home Games
GPWLOTWOTL SOWSOLGFGA
42200001110
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3120000513
Last 10 Games
WLOTWOTL SOWSOL
340000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2129.52%22290.91%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
62758322851
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12925949.81%11822851.75%5410252.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
175121159518743


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 - 2022-04-122Penguins0Phantoms3BWBoxScore
3 - 2022-04-1410Penguins5Phantoms3BLBoxScore
5 - 2022-04-1618Phantoms1Penguins4ALBoxScore
7 - 2022-04-1826Phantoms1Penguins7ALBoxScore
9 - 2022-04-2034Penguins1Phantoms3BWBoxScore
11 - 2022-04-2242Phantoms3Penguins2AWXBoxScore
13 - 2022-04-2450Penguins4Phantoms2BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price2515
Attendance8,0004,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
37 3000 - 100.00% 81,250$325,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,978,410$ 2,178,410$ 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$ 0 0$ 0$




Phantoms Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Wade Allison82444589184017017337411.76%22189723.141181962123411249.55%10.9424
2Michael Rasmussen82324476119128612631110.29%25176021.46813216420256253.59%10.8613
3Matt Benning8217587509318213315411.04%154202024.6381220700220510.00%00.7400
4Bowen Byram7314526666521112113610.29%94167622.9681321770225100.00%00.7900
5Cody Glass61234265182111792768.33%16137722.59312154210197057.33%00.9403

Phantoms Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley82482360.9023.36467310226226860010.76913
2Matt Villalta91400.9143.2129900161860010.0000

Phantoms Career Team Stats

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
23823627011422316282344118110532216113823411816061001551441110431657088622117101851430751037100998259287479369621522566123.83%2926478.08%41710315354.23%1453289950.12%673133650.37%2089148618615701025518
Total Regular Season823627011422316282344118110532216113823411816061001551441110431657088622117101851430751037100998259287479369621522566123.83%2926478.08%41710315354.23%1453289950.12%673133650.37%2089148618615701025518
23734000001623-7422000001110131200000513-86163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743
Total Playoff734000001623-7422000001110131200000513-86163046112851222627583221773441682129.52%22290.91%012925949.81%11822851.75%5410252.94%175121159518743

Phantoms Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Bowen Byram7145-461410166.25%2214520.80022100000100.00%00.6900
2Jack Studnicka7325-524172313.04%113118.85000700001053.94%00.7600
3Nicolas Aube-Kubel7145-322110166.25%112918.55011300010041.67%00.7700
4Matt Benning7044-601011120.00%917124.4500070000000.00%00.4700
5Kevin Roy722440161811.11%111115.94000000000046.60%00.7200

Phantoms Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Pheonix Copley73400.9062.9239101192020110.0000
2Matt Villalta10000.7866.2129003140000.0000