Out of Date Version of the STHS! Please update your version!
Login

Americans
GP: 18 | W: 14 | L: 3 | OTL: 1 | P: 29
GF: 88 | GA: 32 | PP%: 17.33% | PK%: 89.36%
GM : Jason | Morale : 50 | Team Overall : 59
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Gulls
9-8-1, 19pts
0
FINAL
4 Americans
14-3-1, 29pts
Team Stats
L2StreakSOL1
4-5-0Home Record6-2-1
5-3-1Away Record8-1-0
5-4-1Last 10 Games7-2-1
3.06Goals Per Game4.89
3.72Goals Against Per Game1.78
8.33%Power Play Percentage17.33%
86.67%Penalty Kill Percentage89.36%
Condors
15-1-2, 32pts
4
FINAL
3 Americans
14-3-1, 29pts
Team Stats
SOW1StreakSOL1
7-1-1Home Record6-2-1
8-0-1Away Record8-1-0
9-0-1Last 10 Games7-2-1
5.72Goals Per Game4.89
1.89Goals Against Per Game1.78
21.74%Power Play Percentage17.33%
85.71%Penalty Kill Percentage89.36%
Team Leaders
Goals
David Gust
25
Nick DeSimoneAssists
Nick DeSimone
15
Points
David Gust
37
Plus/Minus
David Gust
28
Wins
Arturs Silovs
14
Save Percentage
Arturs Silovs
0.894

Team Stats
Goals For
88
4.89 GFG
Shots For
617
34.28 Avg
Power Play Percentage
17.3%
13 GF
Offensive Zone Start
47.2%
Goals Against
32
1.78 GAA
Shots Against
288
16.00 Avg
Penalty Kill Percentage
89.4%%
10 GA
Defensive Zone Start
31.3%
Team Info

General ManagerJason
CoachMike Yeo
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets0


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 50
Prospects29


Team History

This Season14-3-1 (29PTS)
History0-0-0
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
1Sam CarrickXX100.008799647075628469885864832564646950670322775,000$
2David GustX100.006763776663798267506267646453536750630302775,000$
3Justin DowlingXX100.007265887065717364806160675758586450630343775,000$
4Aku RatyX100.007570876570656564506362655944446550610233925,000$
5Ross JohnstonX100.0085995468925161634454556325616160506003021,100,000$
6Pierrick Dube (R)X100.006661776661717363505667606444446450600231525,000$
7Justin Sourdif (R)X100.006563706563697161766058595544446150590223902,500$
8Lucas CondottaXX100.007876816376798651644751634844445850580272775,000$
9Sebastian AhoDX100.006942927363698266255048722562636150650273825,000$
10Jacob MacDonaldX100.007764806775596673314561687562626450640311775,000$
11Nick DeSimoneX100.007343956970627361255148692547476050620292775,000$
12Dylan McIlrathX100.007990546390738047253541653956565350610322800,000$
13Declan CarlileX100.007469877069768252254743614144445650600241525,000$
14Max CrozierX100.0073727560726062522549417539444453506002421,000,000$
15Matthew Robertson (R)X100.007877796577737950254341633944445550600232896,667$
16Brandon ScanlinX100.008180826180727849253646644444445550600251525,000$
17Nikolas MatinpaloX100.008077876377667247253741633944445350590261885,000$
Scratches
1Luke PhilpX100.007265896365565754684756615344445850560282775,000$
2Joel TeasdaleXX100.007570886570727948504447614544445650560252775,000$
3Ondrej PavelXXX100.007673826373646948604347614544445450550242870,000$
4Cameron Butler (R)X100.007377636477606448504645604344445350540223858,333$
5Marshall RifaiX100.006260666760748050254640553844445250570261525,000$
6Alex Kannok LeipertX100.007070716570566044253439573744444950540242800,000$
TEAM AVERAGE100.00747178667267735644485164454949585060
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
1Arturs Silovs (R)100.00565670835762536060593044445850590232796,111$
2Matthew Murray100.00505164454951505550503044445050500262800,000$
Scratches
TEAM AVERAGE100.0053546764535752585555304444545055
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Yeo65677068716678CAN482925,000$


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
1David Gust Americans (BUF)RW182512372880193094254726.60%438621.4661716560003405168.25%6300021.9200000542
2Sam Carrick Americans (BUF)C/RW18181331232205845104276517.31%438521.431566471016603172.98%43300011.6101000431
3Pierrick Dube Americans (BUF)RW15109191520102064144215.63%025016.73000517000001047.62%2100001.5100000311
4Nick DeSimone Americans (BUF)D1811516122077104910.00%1033918.87011243000070000.00%000000.9400000002
5Lucas Condotta Americans (BUF)C/LW18781519160322442102816.67%332217.93000190000311066.99%20900010.9300000113
6Jacob MacDonald Americans (BUF)D15771415180421130101223.33%731721.145051746000057100.00%000000.8800000030
7Ross Johnston Americans (BUF)LW1865119601053155153211.76%229516.440114350001270058.54%4100000.7400011010
8Matthew Robertson Americans (BUF)D18110111811532713787.69%226914.9600000000000128.57%700000.8200010110
9Sebastian AhoD Americans (BUF)D15191015220185276183.70%732121.460331348000159000.00%000000.6200000001
10Aku Raty Americans (BUF)RW152793608214321244.65%228418.990226430002390086.67%1500000.6300000001
11Justin Sourdif Americans (BUF)C153692408232781911.11%024816.53112343000080066.09%23300000.7300000001
12Justin Dowling Americans (BUF)C/LW152681940418479304.26%235823.930118440005651080.00%2500000.4501000001
13Max Crozier Americans (BUF)D15347980221273242.86%620213.530001500002110100.00%100000.6900000001
14Dylan McIlrath Americans (BUF)D181561222051791411.11%833418.60000244000164100.00%000000.3600000010
15Declan Carlile Americans (BUF)D1505510401433340.00%519312.8800000011029000.00%000000.5200000000
16Joel Teasdale Americans (BUF)LW/RW1011100005360.00%01616.380000100001000.00%000001.2200000000
17Brandon Scanlin Americans (BUF)D1501121001615050.00%21016.740000000000000.00%000000.2000000000
18Nikolas Matinpalo Americans (BUF)D15000020211020.00%2342.280001700006000.00%200000.00%00000000
19Luke Philp Americans (BUF)C1000000015020.00%055.03000000000000100.00%700000.00%00000000
Team Total or Average278871232102122211539625158715635914.82%66466816.79131528854951121958414369.06%105700040.9002021141514
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
1Arturs Silovs Americans (BUF)1814310.8941.69106745302830200.3333183100
2Matthew Murray Americans (BUF)10000.8003.531700150000.00%0015000
Team Total or Average1914310.8921.711085453128802031818100


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 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
Aku Raty Americans (BUF)RW232001-07-05No190 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Link
Alex Kannok Leipert Americans (BUF)D242000-07-20No194 Lbs6 ft0YesNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link
Arturs Silovs Americans (BUF)G232001-03-21Yes202 Lbs6 ft4NoNoNo2Pro & Farm796,111$796,111$0$0$No796,111$Link
Brandon Scanlin Americans (BUF)D251999-06-02No213 Lbs6 ft4NoNoNo1Pro & Farm525,000$525,000$0$0$NoLink
Cameron Butler Americans (BUF)RW222002-06-09Yes202 Lbs6 ft4NoNoNo3Pro & Farm858,333$858,333$0$0$No858,333$858,333$Link
David Gust Americans (BUF)RW301994-02-21No175 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link
Declan Carlile Americans (BUF)D242000-05-18No189 Lbs6 ft1NoNoNo1Pro & Farm525,000$525,000$0$0$NoLink
Dylan McIlrath Americans (BUF)D321992-04-20No231 Lbs6 ft5NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link / NHL Link
Jacob MacDonald Americans (BUF)D311993-02-26No205 Lbs6 ft0NoNoNo1Pro & Farm775,000$775,000$0$0$NoLink / NHL Link
Joel Teasdale Americans (BUF)LW/RW251999-03-11No196 Lbs5 ft11NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link
Justin Dowling Americans (BUF)C/LW341990-10-01No180 Lbs5 ft10NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link / NHL Link
Justin Sourdif Americans (BUF)C222002-03-24Yes172 Lbs5 ft11NoNoNo3Pro & Farm902,500$902,500$0$0$No902,500$902,500$Link
Lucas Condotta Americans (BUF)C/LW271997-06-11No209 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link
Luke Philp Americans (BUF)C281995-11-06No180 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Marshall Rifai Americans (BUF)D261998-03-16No161 Lbs5 ft11NoNoNo1Pro & Farm525,000$525,000$0$0$NoLink
Matthew Murray Americans (BUF)G261998-02-02No170 Lbs5 ft2NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link
Matthew Robertson Americans (BUF)D232001-03-09Yes202 Lbs6 ft4NoNoNo2Pro & Farm896,667$896,667$0$0$No896,667$Link
Max Crozier Americans (BUF)D242000-04-19No192 Lbs6 ft2YesNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Link
Nick DeSimone Americans (BUF)D291994-11-21No189 Lbs6 ft2NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Nikolas Matinpalo Americans (BUF)D261998-10-05No207 Lbs6 ft3NoNoNo1Pro & Farm885,000$885,000$0$0$NoLink
Ondrej Pavel Americans (BUF)C/LW/RW242000-08-29No198 Lbs6 ft2NoNoNo2Pro & Farm870,000$870,000$0$0$No870,000$Link
Pierrick Dube Americans (BUF)RW232001-01-07Yes172 Lbs5 ft9NoNoNo1Pro & Farm525,000$525,000$0$0$NoLink
Ross Johnston Americans (BUF)LW301994-02-18No235 Lbs6 ft5NoNoNo2Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$Link / NHL Link
Sam Carrick Americans (BUF)C/RW321992-02-04No196 Lbs6 ft0NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Link / NHL Link
Sebastian AhoD Americans (BUF)D271997-02-17No176 Lbs6 ft0NoNoNo3Pro & Farm825,000$825,000$0$0$No825,000$825,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.40193 Lbs6 ft11.96790,344$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Justin DowlingSam CarrickDavid Gust40122
2Ross JohnstonJustin SourdifAku Raty30122
3Matthew RobertsonLucas CondottaPierrick Dube20122
4Justin DowlingSam CarrickDavid Gust10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian AhoDJacob MacDonald40122
2Nick DeSimoneDylan McIlrath30122
3Declan CarlileMax Crozier20122
4Matthew RobertsonBrandon Scanlin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Justin DowlingSam CarrickDavid Gust60122
2Ross JohnstonJustin SourdifAku Raty40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickJustin Dowling60122
2David GustAku Raty40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Carrick60122Sebastian AhoDJacob MacDonald60122
2Justin Dowling40122Nick DeSimoneDylan McIlrath40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam CarrickJustin Dowling60122
2David GustAku Raty40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Sebastian AhoDJacob MacDonald60122
2Nick DeSimoneDylan McIlrath40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Justin DowlingSam CarrickDavid GustSebastian AhoDJacob MacDonald
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Justin DowlingSam CarrickDavid GustSebastian AhoDJacob MacDonald
Extra Forwards
Normal PowerPlayPenalty Kill
Pierrick Dube, Lucas Condotta, Ross JohnstonPierrick Dube, Lucas CondottaRoss Johnston
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikolas Matinpalo, Declan Carlile, Max CrozierNikolas MatinpaloDeclan Carlile, Max Crozier
Penalty Shots
Sam Carrick, Justin Dowling, David Gust, Aku Raty, Pierrick Dube
Goalie
#1 : Arturs Silovs, #2 : Matthew Murray
Custom OT Lines Forwards
Sam Carrick, Justin Dowling, David Gust, Aku Raty, Pierrick Dube, Ross Johnston, Ross Johnston, Justin Sourdif, Lucas Condotta, ,
Custom OT Lines Defensemen
Sebastian AhoD, Jacob MacDonald, Nick DeSimone, Dylan McIlrath, Declan Carlile


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
1Barracuda220000001239110000004131100000082641.000121830003332221622102091946391412438337.50%50100.00%039958468.32%23438760.47%16626562.64%576437306103202115
2Bruins1010000023-1000000000001010000023-100.00023500333222127210209194614214225120.00%7271.43%039958468.32%23438760.47%16626562.64%576437306103202115
3Condors200010014401000000134-11000100010130.7504610013332221462102091946381041441218.33%13192.31%039958468.32%23438760.47%16626562.64%576437306103202115
4Eagles22000000853110000003211100000053241.00081422003332221372102091946371437367114.29%15380.00%139958468.32%23438760.47%16626562.64%576437306103202115
5Gulls22000000927110000004041100000052341.00091625013332221116210209194622102643300.00%80100.00%039958468.32%23438760.47%16626562.64%576437306103202115
6Ice Hogs11000000808110000008080000000000021.00081523013332221482102091946101840100.00%40100.00%039958468.32%23438760.47%16626562.64%576437306103202115
7Moose1010000013-21010000013-20000000000000.00012300333222116210209194616518274125.00%9188.89%039958468.32%23438760.47%16626562.64%576437306103202115
8Reign22000000844110000004221100000042241.00081321003332221462102091946395233019210.53%90100.00%039958468.32%23438760.47%16626562.64%576437306103202115
9Roadrunners22000000181171100000010191100000080841.000182745013332221104210209194628118564375.00%90100.00%039958468.32%23438760.47%16626562.64%576437306103202115
10Thunderbirds11000000909000000000001100000090921.0009152401333222159210209194621824100.00%40100.00%039958468.32%23438760.47%16626562.64%576437306103202115
11Wranglers211000009721010000036-31100000061520.50091625003332221562102091946431022431119.09%11372.73%039958468.32%23438760.47%16626562.64%576437306103202115
Total18133010018832569620000140192197101000481335290.80688145233053332221617210209194628873227408751317.33%941089.36%139958468.32%23438760.47%16626562.64%576437306103202115
_Since Last GM Reset18133010018832569620000140192197101000481335290.80688145233053332221617210209194628873227408751317.33%941089.36%139958468.32%23438760.47%16626562.64%576437306103202115
_Vs Conference17132010018629579620000140192187001000461036290.85386142228053332221590210209194627471213386701217.14%87890.80%139958468.32%23438760.47%16626562.64%576437306103202115
_Vs Division72100000449354110000022616310000002231940.2864473117033332221264210209194693228918317529.41%41490.24%139958468.32%23438760.47%16626562.64%576437306103202115

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1829SOL1881452336172887322740805
All Games
GPWLOTWOTL SOWSOLGFGA
1813310018832
Home Games
GPWLOTWOTL SOWSOLGFGA
96200014019
Visitor Games
GPWLOTWOTL SOWSOLGFGA
97110004813
Last 10 Games
WLOTWOTL SOWSOL
621001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
751317.33%941089.36%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
21020919463332221
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
39958468.32%23438760.47%16626562.64%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
576437306103202115


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 - 2024-09-235Roadrunners1 Americans10BWBoxScore
2 - 2024-09-2421 Americans6Wranglers1AWBoxScore
4 - 2024-09-2641 Americans8Barracuda2AWBoxScore
5 - 2024-09-2754 Americans9Thunderbirds0AWBoxScore
6 - 2024-09-2860Ice Hogs0 Americans8BWBoxScore
7 - 2024-09-2981 Americans5Gulls2AWBoxScore
8 - 2024-09-3089Reign2 Americans4BWBoxScore
10 - 2024-10-02117Moose3 Americans1BLBoxScore
11 - 2024-10-03129 Americans2Bruins3ALBoxScore
12 - 2024-10-04139 Americans1Condors0AWXBoxScore
13 - 2024-10-05157Wranglers6 Americans3BLBoxScore
14 - 2024-10-06176 Americans5Eagles3AWBoxScore
16 - 2024-10-08188Eagles2 Americans3BWBoxScore
17 - 2024-10-09202 Americans4Reign2AWBoxScore
18 - 2024-10-10222Barracuda1 Americans4BWBoxScore
19 - 2024-10-11234 Americans8Roadrunners0AWBoxScore
22 - 2024-10-14253Gulls0 Americans4BWBoxScore
25 - 2024-10-17285Condors4 Americans3BLXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price1000
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,975,861$ 1,975,861$ 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$




Americans 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 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