Please rotate your device to landscape mode for a better experience.
Login

Americans
GP: 12 | W: 1 | L: 9 | OTL: 2 | P: 4
GF: 28 | GA: 44 | PP%: 17.39% | PK%: 80.36%
GM : Robert Moreau | Morale : 70 | Team Overall : 65
Next Games #202 vs Moose

Game Center
Americans
1-9-2, 4pts
1
3 Griffins
10-1-0, 20pts
Team Stats
L2StreakW3
0-5-1Home Record5-1-0
1-4-1Home Record5-0-0
0-8-2Last 10 Games9-1-0
2.33Goals Per Game3.91
3.67Goals Against Per Game2.36
17.39%Power Play Percentage18.18%
80.36%Penalty Kill Percentage75.00%
Crunch
8-4-0, 16pts
3
2 Americans
1-9-2, 4pts
Team Stats
W1StreakL2
4-2-0Home Record0-5-1
4-2-0Home Record1-4-1
8-2-0Last 10 Games0-8-2
3.67Goals Per Game2.33
3.00Goals Against Per Game3.67
13.11%Power Play Percentage17.39%
78.00%Penalty Kill Percentage80.36%
Moose
6-5-1, 13pts
Day 29
Americans
1-9-2, 4pts
Team Stats
W1StreakL2
2-3-1Home Record0-5-1
4-2-0Away Record1-4-1
4-5-1Last 10 Games0-8-2
2.92Goals Per Game2.33
3.00Goals Against Per Game2.33
20.00%Power Play Percentage17.39%
84.00%Penalty Kill Percentage80.36%
Americans
1-9-2, 4pts
Day 30
Marlies
8-4-0, 16pts
Team Stats
L2StreakW1
0-5-1Home Record3-3-0
1-4-1Away Record5-1-0
0-8-2Last 10 Games7-3-0
2.33Goals Per Game3.42
3.67Goals Against Per Game3.42
17.39%Power Play Percentage24.14%
80.36%Penalty Kill Percentage88.10%
Comets
2-9-1, 5pts
Day 33
Americans
1-9-2, 4pts
Team Stats
L2StreakL2
1-5-0Home Record0-5-1
1-4-1Away Record1-4-1
1-8-1Last 10 Games0-8-2
2.17Goals Per Game2.33
3.50Goals Against Per Game2.33
23.91%Power Play Percentage17.39%
76.56%Penalty Kill Percentage80.36%
Team Leaders
Goals
Zachary Sanford
5
Assists
Zachary Sanford
6
Points
Zachary Sanford
11
Plus/Minus
Mattias Janmark
3
Wins
Tomas Suchanek
1
Save Percentage
Matt Murray
0.879

Team Stats
Goals For
28
2.33 GFG
Shots For
331
27.58 Avg
Power Play Percentage
17.4%
8 GF
Offensive Zone Start
39.5%
Goals Against
44
3.67 GAA
Shots Against
353
29.42 Avg
Penalty Kill Percentage
80.4%%
11 GA
Defensive Zone Start
40.9%
Team Info

General ManagerRobert Moreau
CoachLane Lambert
DivisionNorth
ConferenceConference Est
Captain
Assistant #1Sam Sedley
Assistant #2James Hagens


Arena Info

Capacity3,000
Attendance3,000
Season Tickets300


Roster Info

Pro Team33
Farm Team19
Contract Limit52 / 99
Prospects24


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
1Matthew Highmore0XXX100.0056297664736786738175736365848544706903012,258,000$
2Mattias Janmark0XXX100.0084693964765682746668786750878734706903312,219,000$
3Ryan Poehling0XX100.0057269965758190678468668369727264706902732,215,000$
4Zachary Sanford0XX99.0076679167777487615762667669888643706803112,150,000$
5Jake Leschyshyn0X100.0058219964727378667968647461757553706702711,304,000$
6Xavier Bourgault (R)0XX98.005835687359777871577370647164688270670242900,000$
7Rieger Lorenz (R)0XX99.006640706466707565457463725753587470650222900,000$
8Patrick Giles0XX100.0081788665777689607353576755686664706402621,276,000$
9Robert Mastrosimone0XX100.0058356867566872655770666467686579706402511,055,000$
10Zac Funk (R)0XX100.007670746577898865596061636756567170640232900,000$
11Owen Sillinger0XX100.0069387667705774647168636364737054706402931,423,000$
12Robbie Payne0XX100.0069649361765675617664626864858347706403311,215,000$
13Alex Young0XXX100.0058356863577174656371706067605774706302511,055,000$
14Milos Kelemen0XX100.0090656658806271615864646065716853706302721,135,000$
15Ryan Murray0X100.0043239959768599703066647665858364706903323,000,000$
16Jake Massie0X99.0071658770746072583062587158767540706602921,045,000$
17Jake Livingstone0X100.0086857365786871522561517455696867706602721,384,000$
18Tory Dello0X100.0080758063746376593063587161757225706602911,615,800$
19Riese Zmolek0X99.0073679963775967513054517168657560706303011,045,000$
20Will Gilson0X100.005630736558636465457656705657587370620251905,000$
21Artur Cholach (R)0X100.006135735861697556456552714954597070610232600,000$
Scratches
1Marc Gatcomb0XX100.007737886875768561655962616468696270640273975,000$
2Quinn Olson0XX100.005830716356687365567466606758577570630251975,000$
3Eduards Tralmaks0XXX100.0063328762807179596359596156747646706202921,192,000$
4Gilbert Perreault Jr.0XX100.00635867757764706160616159605848827061N2223895,000$
5Matt Alfaro0XX100.0071659966755772536956566861767547706103011,135,000$
6Bryce Brodzinski0XX100.005935686060646461467063586360577270600261615,000$
7Graham McPhee0X100.0062338471715673534156536560726945706002831,077,000$
8Ryan Fitzgerald0XX100.0032179965737792496552446056878343705903221,018,000$
9Mason Geertsen0XX100.0083863760814789655163516056778138706403121,327,000$
TEAM AVERAGE99.80664879657167786256656167627170587064
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
1Matt Murray095.006566677770818382817574767966707502811,809,000$
2Tomas Suchanek (R)0100.00716774757481808181797865647370740231900,000$
Scratches
1Talyn Boyko (R)0100.00698069826572737472737361637370710241900,000$
TEAM AVERAGE98.3368717078707879797876756769717073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lane Lambert62687277979569CAN622500,000$


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
1Zachary SanfordAmericans (BUF)C/LW125611-74010203572014.29%225321.1423510370001570045.83%2400000.8700000002
2Mattias JanmarkAmericans (BUF)C/LW/RW12347310023172231813.64%116113.431124360001520052.63%19000000.8700000110
3Robbie PayneAmericans (BUF)C/RW12527200512131738.46%11028.57213836000001054.55%8800001.3600000001
4Xavier BourgaultAmericans (BUF)C/RW12145-2601519304253.33%125821.511458380003280054.55%2200000.3900000000
5Rieger LorenzAmericans (BUF)C/LW12235-3802220375105.41%222318.64011636000000042.86%1400000.4500000000
6Ryan MurrayAmericans (BUF)D12055-600293150%1324520.4900000000043000%000000.4100000000
7Ryan PoehlingAmericans (BUF)C/LW12415-2403333252412.50%218615.5800000000000055.84%23100000.5300000100
8Jake LeschyshynAmericans (BUF)C12134-400316327243.13%319816.521236370000310052.40%22900000.4000000000
9Artur CholachAmericans (BUF)D12134-34091064616.67%2020817.41123435000020000%000000.3800000000
10Tory DelloAmericans (BUF)D12044-36022510170%823519.63000735000045000%000000.3400000000
11Robert MastrosimoneAmericans (BUF)C/LW12213-32069214169.52%113511.2900000000050055.56%900000.4400000010
12Alex YoungAmericans (BUF)C/LW/RW12213-102010102041510.00%215212.7400000000000033.33%600000.3900000010
13Milos KelemenAmericans (BUF)LW/RW120332801053240%1665.570000000000000%000000.9000000000
14Patrick GilesAmericans (BUF)C/RW12112-48015684812.50%114912.47000000000180043.33%3000000.2700000000
15Jake MassieAmericans (BUF)D12022-6220291210280%1227122.66000637000033000%000000.1500000000
16Jake LivingstoneAmericans (BUF)D12022-536047115210%1419115.980000100007000%000000.2100000000
17Riese ZmolekAmericans (BUF)D12022-1209810210%1825821.53011434000041000%000000.1500000000
18Matthew HighmoreAmericans (BUF)C/LW/RW12101-900419258144.00%015012.5200000000000055.49%17300000.1300000000
19Will GilsonAmericans (BUF)D12011000326110%2322.730004800001000%000000.6100000000
20Zac FunkAmericans (BUF)LW/RW12000-100213110%0161.3600015000000050.00%120000000000000
21Owen SillingerAmericans (BUF)C/LW12000000000000%030.3200000000000033.33%30000000000000
Team Total or Average252284876-621220249244331682158.46%104350513.91815236838000053881053.25%103100000.4300000233
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
1Tomas SuchanekAmericans (BUF)41300.8673.7723900151130000048100
2Matt MurrayAmericans (BUF)80620.8793.6048400292400000084001
Team Total or Average121920.8753.65723004435300001212101


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 Country Rookie Weight Height No Trade Available For Trade Acquired ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alex YoungAmericans (BUF)C/LW/RW252001-03-22CANNo179 Lbs6 ft0NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,055,000$0$0$No---------------------------
Artur CholachAmericans (BUF)D232003-06-06UKRYes198 Lbs6 ft1NoNoFree AgentNoNo22026-06-03FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Bryce BrodzinskiAmericans (BUF)LW/RW262000-08-09USANo205 Lbs6 ft0NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm615,000$0$0$No---------------------------
Eduards TralmaksAmericans (BUF)C/LW/RW291997-02-17LATNo215 Lbs6 ft4NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,192,000$0$0$No1,192,000$--------1,192,000$--------No--------
Gilbert Perreault Jr.Americans (BUF)C/RW222004-07-14CANNo194 Lbs6 ft5YesNoFree AgentNoNo32025-05-19FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------YesYes-------
Graham McPheeAmericans (BUF)LW281998-07-24USANo181 Lbs6 ft0NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,077,000$0$0$No1,077,000$1,077,000$-------1,077,000$1,077,000$-------NoNo-------
Jake LeschyshynAmericans (BUF)C271999-03-10CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,304,000$0$0$No---------------------------
Jake LivingstoneAmericans (BUF)D271999-04-16CANNo205 Lbs6 ft3NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,384,000$0$0$No1,384,000$--------1,384,000$--------No--------
Jake MassieAmericans (BUF)D291997-01-21CANNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,045,000$0$0$No1,045,000$--------1,045,000$--------No--------
Marc GatcombAmericans (BUF)C/RW271999-07-22USANo197 Lbs6 ft2NoNoFree AgentNoNo32024-07-16FalseFalsePro & Farm975,000$0$0$No975,000$975,000$-------975,000$975,000$-------NoNo-------
Mason GeertsenAmericans (BUF)LW/D311995-04-19CANNo223 Lbs6 ft4NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,327,000$0$0$No1,327,000$--------1,327,000$--------No--------
Matt AlfaroAmericans (BUF)C/LW301996-08-06CANNo197 Lbs6 ft2NoNoTrade2025-09-06NoNo1FalseFalsePro & Farm1,135,000$0$0$No---------------------------
Matt Murray (Out of Payroll)Americans (BUF)G281998-02-02CANNo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,809,000$0$0$No---------------------------
Matthew HighmoreAmericans (BUF)C/LW/RW301996-02-27CANNo196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm2,258,000$0$0$No---------------------------
Mattias JanmarkAmericans (BUF)C/LW/RW331992-12-08SWENo202 Lbs6 ft1NoNoN/ANoNo12025-05-25FalseFalsePro & Farm2,219,000$0$0$No---------------------------
Milos KelemenAmericans (BUF)LW/RW271999-07-06SVKNo222 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,135,000$0$0$No1,135,000$--------1,135,000$--------No--------
Owen SillingerAmericans (BUF)C/LW291997-09-23CANNo187 Lbs5 ft10NoNoN/ANoNo32026-05-31FalseFalsePro & Farm1,423,000$0$0$No1,423,000$1,423,000$-------1,423,000$1,423,000$-------NoNo-------
Patrick GilesAmericans (BUF)C/RW262000-01-03USANo208 Lbs6 ft4NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,276,000$0$0$No1,276,000$--------1,276,000$--------No--------
Quinn OlsonAmericans (BUF)C/LW252001-05-09CANNo170 Lbs5 ft11NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm975,000$0$0$No---------------------------
Rieger LorenzAmericans (BUF)C/LW222004-03-30CANYes209 Lbs6 ft3NoNoFree AgentNoNo22026-06-17FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Riese ZmolekAmericans (BUF)D301996-09-12USANo207 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,045,000$0$0$No---------------------------
Robbie PayneAmericans (BUF)C/RW331993-05-11USANo205 Lbs5 ft11NoNoTrade2025-09-06NoNo1FalseFalsePro & Farm1,215,000$0$0$No---------------------------
Robert MastrosimoneAmericans (BUF)C/LW252001-01-24USANo170 Lbs5 ft10NoNoFree AgentNoNo12026-06-03FalseFalsePro & Farm1,055,000$0$0$No---------------------------
Ryan FitzgeraldAmericans (BUF)C/RW321994-10-19USANo195 Lbs5 ft11NoNoN/ANoNo22025-05-25FalseFalsePro & Farm1,018,000$0$0$No1,018,000$--------1,018,000$--------No--------
Ryan MurrayAmericans (BUF)D331993-09-27CANNo217 Lbs6 ft0NoNoFree AgentNoNo22024-07-15FalseFalsePro & Farm3,000,000$0$0$No3,000,000$--------3,000,000$--------No--------
Ryan Poehling (1 Way Contract)Americans (BUF)C/LW271999-01-03USANo202 Lbs6 ft2NoNoTrade2024-07-19NoNo3FalseFalsePro & Farm2,215,000$2,215,000$1,893,468$No2,215,000$2,215,000$-------2,215,000$2,215,000$-------NoNo-------
Talyn BoykoAmericans (BUF)G242002-10-16CANYes206 Lbs6 ft8NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Tomas SuchanekAmericans (BUF)G232003-04-30CZEYes184 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Tory DelloAmericans (BUF)D291997-02-14USANo199 Lbs6 ft0NoNoTrade2025-08-31NoNo1FalseFalsePro & Farm1,615,800$0$0$No---------------------------
Will GilsonAmericans (BUF)D252001-06-28USANo181 Lbs6 ft0NoNoFree AgentNoNo12026-07-04FalseFalsePro & Farm905,000$0$0$No---------------------------
Xavier BourgaultAmericans (BUF)C/RW242002-10-22CANYes179 Lbs5 ft11NoNoFree AgentNoNo22026-06-03FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Zac FunkAmericans (BUF)LW/RW232003-07-20CANYes198 Lbs6 ft0NoNoFree AgentNoNo22025-05-25FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Zachary SanfordAmericans (BUF)C/LW311994-11-09USANo205 Lbs6 ft4NoNoTrade2024-07-19NoNo1FalseFalsePro & Farm2,150,000$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3327.36198 Lbs6 ft11.671,285,388$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rieger LorenzRyan PoehlingXavier Bourgault40122
2Zachary SanfordMatthew HighmoreAlex Young30122
3Robert MastrosimoneJake LeschyshynPatrick Giles20122
4Milos KelemenRobbie PayneMattias Janmark10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan MurrayJake Massie40122
2Jake LivingstoneRiese Zmolek30122
3Tory DelloArtur Cholach20122
4Ryan MurrayJake Massie10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordMattias JanmarkXavier Bourgault60005
2Rieger LorenzJake LeschyshynRobbie Payne40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake MassieTory Dello60014
2Artur CholachRiese Zmolek40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Mattias JanmarkZachary Sanford60041
2Jake LeschyshynXavier Bourgault40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake MassieTory Dello60050
2Ryan MurrayRiese Zmolek40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Mattias Janmark60041Jake MassieTory Dello60050
2Zachary Sanford40041Artur CholachRiese Zmolek40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Mattias JanmarkZachary Sanford60122
2Jake LeschyshynXavier Bourgault40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake MassieTory Dello60122
2Will GilsonRiese Zmolek40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordMattias JanmarkXavier BourgaultJake MassieTory Dello
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordMattias JanmarkXavier BourgaultJake MassieTory Dello
Extra Forwards
Normal PowerPlayPenalty Kill
Zac Funk, Owen Sillinger, Patrick GilesZac Funk, Owen SillingerPatrick Giles
Extra Defensemen
Normal PowerPlayPenalty Kill
Will Gilson, Artur Cholach, Jake MassieWill GilsonArtur Cholach, Jake Massie
Penalty Shots
Mattias Janmark, Zachary Sanford, Jake Leschyshyn, Xavier Bourgault, Patrick Giles
Goalie
#1 : Matt Murray, #2 : Tomas Suchanek


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
OverallHome Visitor
# 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 RI
1Comets211000007611010000045-11100000031220.500713200011152059121119910549203715426.67%10370.00%023040357.07%21141850.48%10820054.00%2681782979315976
2Crunch2020000048-41010000023-11010000025-300.00046100011152050121119910611920425120.00%9366.67%023040357.07%21141850.48%10820054.00%2681782979315976
3Griffins2010010058-31000010045-11010000013-210.2505813001115204612111991054161646100.00%8187.50%023040357.07%21141850.48%10820054.00%2681782979315976
4Marlies1010000023-11010000023-10000000000000.000235001115203712111991033111224700.00%5180.00%023040357.07%21141850.48%10820054.00%2681782979315976
5Monsters1010000013-2000000000001010000013-200.00012300111520261211199102998245120.00%30100.00%023040357.07%21141850.48%10820054.00%2681782979315976
6Rockets2010010027-51010000004-41000010023-110.2502460011152052121119910681926436116.67%11190.91%023040357.07%21141850.48%10820054.00%2681782979315976
7Senators2020000079-21010000023-11010000056-100.000712190011152061121119910542120337114.29%10280.00%023040357.07%21141850.48%10820054.00%2681782979315976
Total1219002002844-16605001001423-9614001001421-740.1672848760011152033112111991035310412224946817.39%561180.36%023040357.07%21141850.48%10820054.00%2681782979315976
_Since Last GM Reset1219002002844-16605001001423-9614001001421-740.1672848760011152033112111991035310412224946817.39%561180.36%023040357.07%21141850.48%10820054.00%2681782979315976
_Vs Conference1219002002844-16605001001423-9614001001421-740.1672848760011152033112111991035310412224946817.39%561180.36%023040357.07%21141850.48%10820054.00%2681782979315976

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
124L228487633135310412224900
All Games
GPWLOTWOTL SOWSOLGFGA
121902002844
Home Games
GPWLOTWOTL SOWSOLGFGA
60501001423
Visitor Games
GPWLOTWOTL SOWSOLGFGA
61401001421
Last 10 Games
WLOTWOTL SOWSOL
080200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
46817.39%561180.36%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
121119910111520
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
23040357.07%21141850.48%10820054.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2681782979315976


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
210Comets5Americans4LBox score
326Americans3Comets1WBox score
641Americans5Senators6LBox score
856Marlies3Americans2LBox score
1071Americans1Monsters3LBox score
1182Americans2Crunch5LBox score
1496Senators3Americans2LBox score
17116Griffins5Americans4LXBox score
20136Rockets4Americans0LBox score
23156Americans2Rockets3LXBox score
25172Americans1Griffins3LBox score
27187Crunch3Americans2LBox score
29202Moose-Americans-
30212Americans-Marlies-
33232Comets-Americans-
35244Americans-Roadrunners-
40266Marlies-Americans-
42289Americans-Condors-
45305Phantoms-Americans-
47325Americans-Senators-
49335Checkers-Americans-
52354Americans-Thunderbirds-
53368Americans-Eagles-
55376Wolf Pack-Americans-
59395Senators-Americans-
61408Americans-Rockets-
63428Wranglers-Americans-
65443Americans-Phantoms-
68460Bears-Americans-
70476Americans-IceHogs-
73494Americans-Monsters-
74503Reign-Americans-
78527Barracuda-Americans-
80541Americans-Stars-
82558Admirals-Americans-
84572Americans-Penguins-
85585Americans-Firebird-
87599Griffins-Americans-
89615Americans-Gulls-
91630Wolves-Americans-
94649Americans-Reign-
97659Roadrunners-Americans-
98676Americans-Silver Knight-
100690Stars-Americans-
103714Hammers-Americans-
105723Americans-Marlies-
109751Wild-Americans-
111772Americans-Crunch-
113784Penguins-Americans-
118809IceHogs-Americans-
121830Americans-Wranglers-
123840Eagles-Americans-
125861Americans-Bears-
127873Silver Knight-Americans-
129892Americans-Wild-
130904Rockets-Americans-
134928Americans-Admirals-
135935Americans-Griffins-
137943Americans-Moose-
139952Gulls-Americans-
142973Monsters-Americans-
144989Americans-Wolf Pack-
1451000Americans-Barracuda-
1471011Canucks-Americans-
1491027Americans-Canucks-
1501032Americans-Hammers-
Trade Deadline --- Trades can’t be done after this day is simulated!
1541051Bruins-Americans-
1551062Americans-Bruins-
1571072Americans-Wolves-
1591086Thunderbirds-Americans-
1631114Firebird-Americans-
1681141Crunch-Americans-
1691147Americans-Comets-
1731175Condors-Americans-
1761191Monsters-Americans-
1841215Americans-Checkers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3820
Attendance12,0006,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
32 3000 - 100.00% 143,040$858,240$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,243,212$ 8,040,560$ 8,040,560$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 1,170,231$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,577,280$ 158 46,165$ 7,294,070$




Americans Players 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

Americans Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Americans 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

Americans Players 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

Americans Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA