Americans

GP: 10 | W: 8 | L: 2 | OTL: 0 | P: 16
GF: 51 | GA: 34 | PP%: 26.53% | PK%: 80.77%
GM : Jean-Nicolas Bleau | Morale : 75 | Team Overall : 61

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# 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
1Sam Colangelo (R)0X100.00733991728387746866636962716465075660
2Alex Turcotte (R)0X100.00643690717079836772686263696466075650
3Drake Caggiula0XXX100.00683972656783816269646163627273075640
4Samuel Fagemo (R)0X100.00643785657489836458616663676568075640
5Amadeus Lombardi (R)0X100.00633693656378816471636261656364075630
6Nick Abruzzese (R)0X100.00603693666980876471635857606668075630
7Arshdeep Bains (R)0X100.00643785637177846270645961626465075620
8Brandon Gignac (R)0XX100.00613878637084756168605864626870075620
9Kyle McDonald (R)0X100.00824284569173795556535758566365075610
10Hunter Haight (R)0X100.00563786606587725963566155596263075600
11Daemon Hunt (R)0X100.00673887637874836230615865496365075630
12Filip Kral (R)0X100.00713984588071725730615559476668075610
13Luke Prokop (R)0X100.00885192549765665330555159456365075600
14Carson Lambos (R)0X100.00684075577767865630555458466264075590
Scratches
1Landon Slaggert (R)0X100.00633785667079766458625965616364075630
2Noah Philp0X100.00723986638385726265606163626769075630
3Jack Malone (R)0X100.00663795567668705351525554576567075590
4Justin Ertel (R)0X100.00704077587965635661595457556264075590
5Blake McLaughlin (R)0XX100.00553689596468675760585354566567075580
6David Goyette (R)0X100.00563788586569705663575554586163075580
7Gavin Brindley (R)0X100.00553686596479695862555457566163075580
8Joel Hanley0X100.00704383677087776330685665517475075640
9Christian Kyrou (R)0X100.00573692586668775730595556476264075590
10Gavin White (R)0X100.00653792557468775430565253466365075580
TEAM AVERAGE100.0066388662747676605460585957656607561
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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
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Sebastian Cossa (R)100.0077878398767577767577766369075670
2Will Cranley (R)100.0058706683575658575658576369075560
Scratches
TEAM AVERAGE100.006879759167666867666867636907562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Neil Graham63677372605687CAN391550,000$


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
1Samuel FagemoAmericans (BUF)RW1071522920151356142612.50%421421.46066835000000054.17%2400012.0500000112
2Landon SlaggertAmericans (BUF)LW10871544081733112424.24%317817.855161030000000237.50%1600001.6800000220
3Drake CaggiulaAmericans (BUF)C/LW/RW104812640181521112719.05%221021.02044442000041050.00%1200001.1400000010
4Sam ColangeloAmericans (BUF)RW107512520142461122311.48%119319.313141542000001058.82%1700001.2400000101
5Alex TurcotteAmericans (BUF)C103811-120141928112610.71%318118.18123841000000058.12%23400001.2100000010
6Nick AbruzzeseAmericans (BUF)C104711-22015333681511.11%224424.411348340000210052.14%14000000.9000000101
7Brandon GignacAmericans (BUF)C/LW1036979511262731611.11%316416.4800000000001052.75%21800001.0900001000
8Amadeus LombardiAmericans (BUF)C104483005434813338.33%226326.39101380000222046.96%36200000.6100000011
9Arshdeep BainsAmericans (BUF)LW10347-12013172452812.50%314814.8200000000000071.43%700000.9400000110
10Daemon HuntAmericans (BUF)D10077-320251519590.00%2025825.81011637000022000.00%000000.5400000001
11Filip KralAmericans (BUF)D1015672091417935.88%1324624.68112838000018100.00%000000.4900000000
12Hunter HaightAmericans (BUF)C103363403101521320.00%518718.76000000000181028.57%700000.6400000010
13Carson LambosAmericans (BUF)D100444202283150.00%819719.790000200008000.00%000000.4000000000
14Gavin WhiteAmericans (BUF)D8134-18011523250.00%1118322.99011025000015000.00%000000.4400000000
15Luke ProkopAmericans (BUF)D10134412029330433.33%1622822.8100014000016000.00%000000.3500000000
16Kyle McDonaldAmericans (BUF)RW10123-1202411203145.00%013813.8800000000019009.09%1100000.4300000001
17Christian KyrouAmericans (BUF)D41122002342125.00%28521.30112390000010100.00%100000.4700000000
Team Total or Average16251921434559523827641711326912.23%98332520.531321347435400001698251.29%104900010.8600001687
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
1Sebastian CossaAmericans (BUF)108110.9092.9469420343750100.0000100000
Team Total or Average108110.9092.9469420343750100.0000100000


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
Alex TurcotteC242001-02-26Yes185 Lbs5 ft11NoNoNo1RFAPro & Farm1,170,000$0$0$NoLink / NHL Link
Amadeus LombardiC222003-06-05Yes165 Lbs5 ft10NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Arshdeep BainsLW242001-01-09Yes184 Lbs6 ft0NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Blake McLaughlinLW/RW252000-02-14Yes160 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Brandon GignacC/LW271997-11-07Yes170 Lbs5 ft11NoNoNo2RFAPro & Farm751,000$0$0$NoLink / NHL Link
Carson LambosD222003-01-14Yes197 Lbs6 ft1NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Christian KyrouD222003-09-16Yes166 Lbs5 ft11NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Daemon HuntD232002-05-12Yes201 Lbs6 ft1NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
David GoyetteC212004-03-27Yes172 Lbs5 ft10NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Drake CaggiulaC/LW/RW311994-06-20No179 Lbs5 ft10NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Filip KralD251999-10-20Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gavin BrindleyC212004-10-05Yes175 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Gavin WhiteD222002-11-12Yes196 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Hunter HaightC212004-04-04Yes173 Lbs5 ft10NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Jack MaloneRW242000-10-13Yes191 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Joel HanleyD341991-06-08No186 Lbs5 ft11NoNoNo1UFAPro & Farm840,000$0$0$NoLink / NHL Link
Justin ErtelLW222003-05-27Yes192 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Kyle McDonaldRW232002-02-05Yes221 Lbs6 ft4NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Landon SlaggertLW232002-06-25Yes180 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Luke ProkopD232002-06-05Yes224 Lbs6 ft6NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Nick AbruzzeseC261999-06-04Yes183 Lbs5 ft11NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Noah PhilpC271998-08-31No198 Lbs6 ft3NoNoNo2RFAPro & Farm871,000$0$0$NoLink / NHL Link
Sam ColangeloRW232001-12-26Yes211 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Samuel FagemoRW252000-03-14Yes200 Lbs6 ft0NoNoNo2RFAPro & Farm956,700$0$0$NoLink / NHL Link
Sebastian CossaG222002-11-21Yes229 Lbs6 ft6NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Will CranleyG232002-02-26Yes183 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2624.04189 Lbs6 ft12.04936,104$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaAmadeus LombardiSam Colangelo30122
2Brandon GignacSamuel Fagemo26122
3Arshdeep BainsAlex TurcotteNick Abruzzese24122
4Hunter HaightKyle McDonald20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon Hunt35122
2Filip KralLuke Prokop35122
3Carson Lambos20122
4Carson Lambos10212
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Drake CaggiulaAlex TurcotteSam Colangelo60122
2Nick AbruzzeseSamuel Fagemo40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon Hunt50023
2Filip Kral50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Amadeus LombardiKyle McDonald50122
2Nick AbruzzeseHunter Haight50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon Hunt60122
2Filip KralLuke Prokop40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Amadeus Lombardi50122Filip KralDaemon Hunt60122
2Nick Abruzzese50212Luke Prokop40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Amadeus LombardiArshdeep Bains60122
2Hunter Haight40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Daemon Hunt50122
2Carson LambosLuke Prokop50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Drake CaggiulaAlex TurcotteSam ColangeloDaemon Hunt
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon GignacAmadeus LombardiKyle McDonaldFilip KralDaemon Hunt
Extra Forwards
Normal PowerPlayPenalty Kill
Amadeus Lombardi, Nick Abruzzese, Amadeus Lombardi, Nick AbruzzeseAmadeus Lombardi
Extra Defensemen
Normal PowerPlayPenalty Kill
Luke Prokop, Carson Lambos, Luke ProkopFilip Kral, Carson Lambos
Penalty Shots
Sam Colangelo, Drake Caggiula, Samuel Fagemo, , Amadeus Lombardi
Goalie
#1 : Sebastian Cossa, #2 : Will Cranley
Custom OT Lines Forwards
Sam Colangelo, Drake Caggiula, Samuel Fagemo, , Amadeus Lombardi, Nick Abruzzese, Nick Abruzzese, , Brandon Gignac, Arshdeep Bains, Kyle McDonald
Custom OT Lines Defensemen
, Daemon Hunt, , Luke Prokop, Carson Lambos


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1016W351941454183751036123900
All Games
GPWLOTWOTL SOWSOLGFGA
108200005134
Home Games
GPWLOTWOTL SOWSOLGFGA
44000002513
Visitor Games
GPWLOTWOTL SOWSOLGFGA
64200002621
Last 10 Games
WLOTWOTL SOWSOL
810100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
491326.53%26580.77%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
119136103601420134
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
22643152.44%21241351.33%10020648.54%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2771942688314874


Last Played Games
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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 - 2026-04-183Americans3Wolves4LXBoxScore
2 - 2026-04-1911Americans4Wolves3WXBoxScore
3 - 2026-04-2019Wolves4Americans5WXBoxScore
4 - 2026-04-2127Wolves2Americans8WBoxScore
5 - 2026-04-2235Americans3Wolves2WBoxScore
8 - 2026-04-2558Americans5Penguins4WXBoxScore
9 - 2026-04-2662Americans4Penguins7LBoxScore
10 - 2026-04-2766Penguins4Americans5WXBoxScore
11 - 2026-04-2870Penguins3Americans7WBoxScore
12 - 2026-04-2974Americans7Penguins1WBoxScore



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
6 3000 - 100.00% 81,250$325,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,433,870$ 2,433,870$ 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
20248236300852129226923412212052001481133541141803321144156-12982925308223397909510279389692293455259475444618332796623.66%1834277.05%11438299747.98%1370285747.95%644136247.28%2038143018565901063542
202582422503831327252754122130132016811157412012025111591411810532758290905127100948332910971086110850268580646618842705620.74%1873382.35%11785326654.65%1529280154.59%755140453.77%2135152417805671053545
Total Regular Season16478550111352619521988244250652031622492823430058323032976203619111217313822419018918612219932008204210552791560912371754912222.22%3707579.73%23223626351.46%2899565851.24%1399276650.58%417429553636115821171087
Playoff
202425141100000797181156000003731614950000042402287914522410273020280727227424417827216160570842023.81%71987.32%140587246.44%42093245.06%16839942.11%601411587187331165
20251082000005134174400000025131264200000262151651941450014201344181191361036037510361239491326.53%26580.77%022643152.44%21241351.33%10020648.54%2771942688314874
Total Playoff35221300000130105251596000006244182013700000686174413023936910415033612253914103477712023192218091333324.81%971485.57%1631130348.43%632134546.99%26860544.30%878606856271479240