Day : 200
PHI - 2
CAR - 6
Day : 201

Rochester Americans
GP: 82 | W: 44 | L: 33 | OTL: 5 | P: 93
GF: 306 | GA: 296 | PP%: 17.62% | PK%: 78.79%
GM : Benjamin Girouard | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Rochester Americans
44-33-5, 93pts
5
FINAL
6 Manitoba Moose
52-25-5, 109pts
Team Stats
L1StreakW5
25-13-3Home Record27-11-3
19-20-2Home Record25-14-2
4-5-1Last 10 Games8-2-0
3.73Goals Per Game4.24
3.61Goals Against Per Game3.40
17.62%Power Play Percentage23.16%
78.79%Penalty Kill Percentage79.81%
Hamilton Bulldogs
50-20-12, 112pts
4
FINAL
2 Rochester Americans
44-33-5, 93pts
Team Stats
W3StreakL1
28-10-3Home Record25-13-3
22-10-9Home Record19-20-2
4-1-5Last 10 Games4-5-1
3.37Goals Per Game3.73
2.67Goals Against Per Game3.61
20.98%Power Play Percentage17.62%
84.01%Penalty Kill Percentage78.79%
Team Leaders
Goals
Trevor Cox
29
Assists
Radim Zohorna
39
Points
Radim Zohorna
66
Plus/Minus
Evgeny Grachev
17
Wins
Brendan Burke
33
Save Percentage
Mason McDonald
0.891

Team Stats
Goals For
306
3.73 GFG
Shots For
2607
31.79 Avg
Power Play Percentage
17.6%
46 GF
Offensive Zone Start
38.5%
Goals Against
296
3.61 GAA
Shots Against
2549
31.09 Avg
Penalty Kill Percentage
78.8%%
63 GA
Defensive Zone Start
35.6%
Team Info

General ManagerBenjamin Girouard
CoachD.J. Smith
DivisionGionta
ConferenceFortunus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,999
Season Tickets300


Roster Info

Pro Team26
Farm Team20
Contract Limit46 / 50
Prospects35


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 Average
1Dylan SikuraXXX100.00592397867186868073747369737878550002821,000,000$
2Evgeny GrachevXX100.0071439077877978808273736682999915000331700,000$
3Nazem KadriXXX100.00673599817879808378757665839999150003331,300,000$
4Trevor CoxXX100.00783589867481788077757466767979550002812,000,000$
5Malte StrömwallX100.00693583817982808071737469798480150002921,200,000$
6Sakari ManninenXX100.00653890836582788075737367828585150003121,500,000$
7Radim ZohornaXXX100.00763589818983828173757465787775650002721,500,000$
8Brock McGinnXX100.00894881828583808171727372748483150002931,250,000$
9Joe VelenoXX100.00733387848083818174757467736565750002311,300,000$
10Scott LaughtonXX100.00833882798384807976747370738181150002911,200,000$
11Samuel BlaisXX100.00863886808481818267737469757777650002731,800,000$
12Nathan BastianXX100.00904976788981788065737470737474650002631,200,000$
13Niko MikkolaX100.00824480758480817750726489617270650002731,900,000$
14Frédéric Allard (R)X100.00834081798283807950736687627373650002621,400,000$
15Lucas Carlsson (R)X100.00773882788184848050746886667271650002631,250,000$
16Timothy Liljegren (R)X100.00703082827683858252746583688176750002411,500,000$
17Ty Emberson (R)X100.0074358175817878765070638557667265000231800,000$
18Alexander Alexeyev (R)X100.00794083798685828150757184647471750002411,750,000$
Scratches
1Ryan LombergX100.009059718483767077657070677181795500N0292975,000$
2Buddy RobinsonX100.0085507677927880806273726479858170500N03221,100,000$
3Ivan Ivan (R)X100.0064308576717781757569686574616155000211800,000$
4Semyon Chistyakov (R)X100.0079448779808282755069628460757165000221850,000$
5Tyler Tucker (R)X100.0087487474848079785072648660706765000231800,000$
6Gregorio Gios (R)X100.0084408272847877725067608454717055000242900,000$
TEAM AVERAGE100.007840848081818079647370747178777500
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 Average
1Mason McDonald100.0087828388918786878689856970850002711,100,000$
2Brendan Burke100.0087848485898989898789857883850002821,250,000$
Scratches
TEAM AVERAGE100.00878384879088888887898574778500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
D.J. Smith84868383778070CAN4732,000,000$


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
1Radim ZohornaRochester Americans (BUF)C/LW/RW82273966280100601737210815.61%17147017.93581339216426242755153.95%62110014010.9012000543
2Trevor CoxRochester Americans (BUF)C/LW82293362714098642126011813.68%11126115.381101135168000091252.43%49412318010.9800000246
3Scott LaughtonRochester Americans (BUF)C/LW82183755244012572137469013.14%35130215.883362092224111656054.49%4577321000.8400000133
4Joe VelenoRochester Americans (BUF)C/LW59153449860584117052948.82%1490615.362111330165000001154.26%949220011.0800000313
5Evgeny GrachevRochester Americans (BUF)C/LW82152944171205763129578511.63%13129015.74000757145121474154.23%9466811000.6811000132
6Alexander AlexeyevRochester Americans (BUF)D76133144844090125107516212.15%97154420.334913272080113148120.00%02368000.5700000303
7Dylan SikuraRochester Americans (BUF)C/LW/RW7517254262022371436011811.89%1098613.15000010001191151.22%4114614000.8500000213
8Samuel BlaisRochester Americans (BUF)LW/RW59192342112098431585011112.03%1089015.095611391461017594148.57%357912000.9400000031
9Malte StrömwallRochester Americans (BUF)RW6515223711005129110436713.64%1374411.46112512000011356.00%256213000.9900000023
10Lucas CarlssonRochester Americans (BUF)D821619351547591163106414415.09%100146717.895712121690116197120.00%01470000.4800000032
11Timothy LiljegrenRochester Americans (BUF)D8252530-2460661359032525.56%116159619.47257162320223223100.00%0478000.3800000002
12Buddy RobinsonRochester Americans (BUF)RW301019291212048961254116.39%643614.562131037000000150.00%14296001.3300000114
13Brock McGinnRochester Americans (BUF)LW/RW6082129-56751034610035858.00%22112318.721561513200071763044.69%3204817010.5201000301
14Nazem KadriRochester Americans (BUF)C/LW/RW30141428-520211884305216.67%249116.38931225880003152252.08%192356011.1400000310
15Niko MikkolaRochester Americans (BUF)D7712627-76201081699040481.11%119157520.46066241900221236000.00%0576000.3400000110
16Semyon ChistyakovRochester Americans (BUF)D703161916240531057329404.11%81117516.7900000000252100.00%0673000.3200000000
17Tyler TuckerRochester Americans (BUF)D76118199795941087029341.43%88115915.26000122000148000.00%0554000.3300000010
18Frédéric AllardRochester Americans (BUF)D6441115-12260781077242455.56%114120018.750008630005148000.00%01364000.2500000100
19Sakari ManninenRochester Americans (BUF)C/LW35851324052348232616.67%53339.5300000000000054.62%238274000.7800000011
20Ivan IvanRochester Americans (BUF)C6451610061732111715.63%22113.311125140002250051.41%142170000.5701000101
21Ty EmbersonRochester Americans (BUF)D49022016018452419140.00%5055411.3100000000010000.00%0128000.0700000000
22Gregorio GiosRochester Americans (BUF)D16011020121110750.00%1116110.070000000000000.00%003000.1201000000
23Owen TippettBuffalo SabresLW/RW5000-60070154130.00%410521.09000115000080040.00%1091000.0000000000
24Nathan BastianRochester Americans (BUF)C/RW8000-260601060.00%5668.330000000012100100.00%112000.0000000000
Team Total or Average14102434516946854515141514902215858137510.97%9452205615.644176117319203781422891991321752.81%3630980673050.6326000272938
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
1Brendan BurkeRochester Americans (BUF)65332550.8873.5336084021218741045200.83366516633
2Mason McDonaldRochester Americans (BUF)148400.8913.257570041375211200.00001219010
3Yaniv PeretsBuffalo Sabres143400.8604.485620142299164110.0000547120
Team Total or Average93443350.8843.59492841295254814205168282763


Player Name POS Age Birthday Terms Contract Cap % Year 2023Year 2024Year 2025Year 2026Year 2027Year 2028Year 2029
Forward
Brock McGinnLW/RW291993-01-22 16:12:41TW 30.00%1,250,000$1,250,000$1,250,000$UFA [Age: 32]
Buddy RobinsonRW321990-01-02 13:21:49NT TW 20.00%1,100,000$1,100,000$UFA [Age: 34]
Dylan SikuraC/LW/RW281994-01-22 04:31:22TW 20.00%1,000,000$1,000,000$UFA [Age: 30]
Evgeny GrachevC/LW331989-01-22 12:29:38TW 10.00%700,000$UFA [Age: 34]
Ivan IvanC212001-01-02 05:22:38TW 10.00%800,000$RFA ( Groupe: 1 )[Age: 22]
Joe VelenoC/LW231999-01-22 05:36:41TW 10.00%1,300,000$RFA ( Groupe: 2 ) [Age: 24]
Malte StrömwallRW291993-01-02 01:05:41TW 20.00%1,200,000$1,200,000$UFA [Age: 31]
Nathan BastianC/RW261996-01-22 03:23:22TW 30.00%1,200,000$1,200,000$1,200,000$UFA [Age: 29]
Nazem KadriC/LW/RW331989-01-22 12:29:38TW 30.00%1,300,000$1,300,000$1,300,000$UFA [Age: 36]
Radim ZohornaC/LW/RW271995-01-02 13:16:51TW 20.00%1,500,000$1,500,000$UFA [Age: 29]
Ryan LombergLW291993-01-02 00:13:21NT TW 20.00%975,000$975,000$UFA [Age: 31]
Sakari ManninenC/LW311991-01-02 01:12:08TW 20.00%1,500,000$1,500,000$UFA [Age: 33]
Samuel BlaisLW/RW271995-01-22 10:25:21TW 30.00%1,800,000$1,800,000$1,800,000$UFA [Age: 30]
Scott LaughtonC/LW291993-01-22 08:09:57TW 10.00%1,200,000$UFA [Age: 30]
Trevor CoxC/LW281994-01-22 04:31:23TW 10.00%2,000,000$UFA [Age: 29]
AVERAGE (15)28.330.00%0$12,825,000$5,550,000$0$0$0$0$
Defenseman
Alexander AlexeyevD241998-01-02 09:24:08TW 10.00%1,750,000$RFA ( Groupe: 2 ) [Age: 25]
Frédéric AllardD261996-01-22 04:38:27TW 20.00%1,400,000$1,400,000$UFA [Age: 28]
Gregorio GiosD241998-01-22 00:21:35TW 20.00%900,000$900,000$RFA ( Groupe: 2 ) [Age: 26]
Lucas CarlssonD261996-01-02 09:09:59TW 30.00%1,250,000$1,250,000$1,250,000$UFA [Age: 29]
Niko MikkolaD271995-01-02 04:26:17TW 30.00%1,900,000$1,900,000$1,900,000$UFA [Age: 30]
Semyon ChistyakovD222000-01-02 02:08:47TW 10.00%850,000$RFA ( Groupe: 1 )[Age: 23]
Timothy LiljegrenD241998-01-02 15:35:23TW 10.00%1,500,000$RFA ( Groupe: 2 ) [Age: 25]
Ty EmbersonD231999-01-02 03:43:54TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 24]
Tyler TuckerD231999-01-02 03:36:38TW 10.00%800,000$RFA ( Groupe: 2 ) [Age: 24]
AVERAGE (9)24.330.00%0$5,450,000$3,150,000$0$0$0$0$
Goalies
Brendan BurkeG281994-01-22 02:06:01TW 20.00%1,250,000$1,250,000$UFA [Age: 30]
Mason McDonaldG271995-01-22 14:42:23TW 10.00%1,100,000$UFA [Age: 28]

Terms Legends : FV = Force Waiver / NT = No Trade / IN = Injured / TW = Two Way Contract (Can Play Pro + Can Play Farm)

Note: The salary cap amounts for the current year and the % of salary cap are based on a calculation of the simple salary cap calculation (Average Salary or Salary for the year depending on your salary options). If your salary cap is based on complex calculation, the results of this analysis could be incorrect by a small margin. The Current Year Pro Salary Cap is : 87,000,050$.




5 vs 5 Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
1Trevor CoxJoe VelenoRadim Zohorna35014
2Scott LaughtonNazem KadriSamuel Blais30014
3Dylan SikuraEvgeny GrachevMalte Strömwall25023
4Nathan BastianSakari ManninenBrock McGinn10131
5 vs 5 Defense
Line # Defense Defense Time % PHY DF OF
1Lucas CarlssonAlexander Alexeyev35023
2Timothy LiljegrenFrédéric Allard30023
3Niko MikkolaTy Emberson25131
4Timothy LiljegrenAlexander Alexeyev10014
Power Play Forward
Line # Left Wing Center Right Wing Time % PHY DF OF
1Samuel BlaisNazem KadriJoe Veleno60005
2Malte StrömwallTrevor CoxScott Laughton40005
Power Play Defense
Line # Defense Defense Time % PHY DF OF
1Radim ZohornaAlexander Alexeyev60005
2Evgeny GrachevTimothy Liljegren40005
Penalty Kill 4 Players Forward
Line # Center Wing Time % PHY DF OF
1Scott LaughtonNathan Bastian60041
2Brock McGinnSamuel Blais40041
Penalty Kill 4 Players Defense
Line # Defense Defense Time % PHY DF OF
1Frédéric AllardNiko Mikkola60041
2Ty EmbersonLucas Carlsson40041
Penalty Kill 3 Players
Line # Wing Time % PHY DF OF Defense Defense Time % PHY DF OF
1Scott Laughton60050Frédéric AllardNiko Mikkola60140
2Brock McGinn40050Ty EmbersonLucas Carlsson40050
4 vs 4 Forward
Line # Center Wing Time % PHY DF OF
1Nazem KadriTrevor Cox50023
2Joe VelenoSamuel Blais50023
4 vs 4 Defense
Line # Defense Defense Time % PHY DF OF
1Timothy LiljegrenAlexander Alexeyev50023
2Frédéric AllardLucas Carlsson50023
Last Minutes Offensive
Left Wing Center Right Wing Defense Defense
Joe VelenoNazem KadriRadim ZohornaTrevor CoxAlexander Alexeyev
Last Minutes Defensive
Left Wing Center Right Wing Defense Defense
Scott LaughtonBrock McGinnNathan BastianFrédéric AllardNiko Mikkola
Extra Forwards
Normal PowerPlay Penalty Kill
Nazem Kadri, Joe Veleno, Samuel BlaisTrevor Cox, Joe VelenoNazem Kadri
Extra Defensemen
Normal PowerPlay Penalty Kill
Alexander Alexeyev, Timothy Liljegren, Lucas CarlssonAlexander AlexeyevFrédéric Allard, Lucas Carlsson
Penalty Shots
Nazem Kadri, Joe Veleno, Evgeny Grachev, Radim Zohorna, Trevor Cox
Goalie
#1 : Brendan Burke, #2 : Mason McDonald
Custom OT Lines Forwards
Nazem Kadri, Joe Veleno, Radim Zohorna, Scott Laughton, Samuel Blais, Evgeny Grachev, Evgeny Grachev, Trevor Cox, Malte Strömwall, Brock McGinn, Dylan Sikura
Custom OT Lines Defensemen
Alexander Alexeyev, Timothy Liljegren, Lucas Carlsson, Frédéric Allard, Niko Mikkola


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
1Albany Devils33000000188101100000032122000000156961.00018274500121968459384191983518101472448400.00%120100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
2Binghamton Senators1000010034-11000010034-10000000000010.50035800121968452684191983518295420000.00%20100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
3Blainville-Boisbriand Armada11000000312110000003120000000000021.0003580012196845318419198351833162215360.00%10100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
4Bridgeport Sound Tigers31200000718-1121100000612-61010000016-520.3337101700121968459784191983518933734566116.67%17382.35%0885167652.80%810154752.36%582112551.73%1884123218266471226614
5Charlotte Checkers523000001825-72110000067-1312000001218-640.400183351001219684516684191983518159572011119210.53%10460.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
6Chicago Wolves1000010023-1000000000001000010023-110.500246001219684529841919835182894266233.33%20100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
7Chicoutimi Saguenéens1100000010461100000010460000000000021.00010192900121968453584191983518339615200.00%3166.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
8Chisinau Pelicans210001001513221000100151320000000000030.75015274200121968456584191983518722214288337.50%7357.14%2885167652.80%810154752.36%582112551.73%1884123218266471226614
9Connecticut Whale31200000718-111100000054120200000214-1220.33371320001219684579841919835181023447518225.00%16381.25%0885167652.80%810154752.36%582112551.73%1884123218266471226614
10Danbury Trashers321000001266110000005322110000073440.66712233500121968459884191983518902622678112.50%11281.82%0885167652.80%810154752.36%582112551.73%1884123218266471226614
11Gatineau Olympiques1010000036-3000000000001010000036-300.000369001219684532841919835183096245120.00%3166.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
12Grand Rapids Griffins3210000012102110000008352110000047-340.6671221330012196845105841919835188727205410330.00%10190.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
13Hamilton Bulldogs31200000810-21010000024-22110000066020.33381422001219684590841919835181034624659222.22%12283.33%1885167652.80%810154752.36%582112551.73%1884123218266471226614
14Henderson Silver Knights40400000616-1030300000512-71010000014-300.000612180012196845128841919835181314436771500.00%18572.22%0885167652.80%810154752.36%582112551.73%1884123218266471226614
15Houston Aeros4310000014104220000007252110000078-160.7501424380012196845131841919835181023125802015.00%11190.91%1885167652.80%810154752.36%582112551.73%1884123218266471226614
16Joliette Sportif21100000770000000000002110000077020.5007132000121968456384191983518671620357114.29%10370.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
17Lake Erie Monsters201000106601010000045-11000001021120.500681400121968455984191983518672710446233.33%5340.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
18Laval Chiefs11000000523000000000001100000052321.00059140012196845208419198351834131013000.00%5180.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
19Manitoba Moose4120010022211211000001293201001001012-230.37522365810121968451508419198351811251329018633.33%16568.75%0885167652.80%810154752.36%582112551.73%1884123218266471226614
20Mercer Island Hafgufa311010001315-221100000811-31000100054140.66713233600121968458884191983518983431597228.57%15660.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
21Milwaukee Admirals30300000918-90000000000030300000918-900.0009152400121968451078419198351810228324213430.77%16568.75%0885167652.80%810154752.36%582112551.73%1884123218266471226614
22Norfolk Admirals43100000211382200000013492110000089-160.75021305100121968451308419198351811751166110110.00%8275.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
23Nunavik Natturaliit20101000611-520101000611-50000000000020.5006101600121968456284191983518682216425120.00%9366.67%0885167652.80%810154752.36%582112551.73%1884123218266471226614
24Providence Bruins32100000972110000005322110000044040.667913220012196845858419198351892312668700.00%13284.62%2885167652.80%810154752.36%582112551.73%1884123218266471226614
25Roberval Dwarfs11000000808000000000001100000080821.0008132101121968453684191983518286621400.00%30100.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
26Rouyn-Noranda Huskies4210001011654210001011650000000000060.75011182900121968451308419198351811343399114214.29%13192.31%0885167652.80%810154752.36%582112551.73%1884123218266471226614
27San Antonio Rampage321000001192211000009811100000021140.66711193000121968457284191983518984020496116.67%100100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
28Springfield Falcons330000001156110000003122200000084461.000111829001219684592841919835181005320687114.29%10280.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
29The Nuuk Vikings1010000014-31010000014-30000000000000.000123001219684535841919835182612817400.00%40100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
30Trois-Rivières Lions11000000413110000004130000000000021.000471100121968453384191983518327818000.00%40100.00%0885167652.80%810154752.36%582112551.73%1884123218266471226614
31Verdun Junior321000001385110000006152110000077040.667132538001219684510184191983518823322829222.22%11372.73%0885167652.80%810154752.36%582112551.73%1884123218266471226614
32Wilkes-Barre/Scranton Penguins4110110011110200011006602110000055050.62511193000121968451398419198351812045208619210.53%10190.00%1885167652.80%810154752.36%582112551.73%1884123218266471226614
Total8239330352030629610412213023101661412541172001210140155-15930.5673065218271112196845260784191983518254993162416292614617.62%2976378.79%11885167652.80%810154752.36%582112551.73%1884123218266471226614
_Since Last GM Reset8239330352030629610412213023101661412541172001210140155-15930.5673065218271112196845260784191983518254993162416292614617.62%2976378.79%11885167652.80%810154752.36%582112551.73%1884123218266471226614
_Vs Conference52262202200188192-42514901100958872712130110093104-11580.5581883145021012196845163884191983518161862739710361632213.50%1893879.89%8885167652.80%810154752.36%582112551.73%1884123218266471226614

Total For Players
Games Played Points Streak Goals Assists Points Shots For Shots Against Shots Blocked Penalty Minutes Hits Empty Net Goals Shutouts
8293L130652182726072549931624162911
All Games
GP W L OTW OTL SOWSOL GF GA
8239333520306296
Home Games
GP W L OTW OTL SOWSOL GF GA
4122132310166141
Visitor Games
GP W L OTW OTL SOWSOL GF GA
4117201210140155
Last 10 Games
W L OTW OTL SOWSOL
450100
Power Play Attemps Power Play Goals Power Play % Penalty Kill Attemps Penalty Kill Goals Against Penalty Kill % Penalty Kill Goals For
2614617.62%2976378.79%11
Shots 1 Period Shots 2 Period Shots 3 Period Shots 4+ Period Goals 1 Period Goals 2 Period Goals 3 Period Goals 4+ Period
8419198351812196845
Face Offs
Won Offensive Zone Total Offensive Won Offensive % Won Defensif Zone Total Defensive Won Defensive % Won Neutral Zone Total Neutral Won Neutral %
885167652.80%810154752.36%582112551.73%
Puck Time
In Offensive Zone Control In Offensive Zone In Defensive Zone Control In Defensive Zone In Neutral Zone Control In Neutral Zone
1884123218266471226614


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
Day:2
213Rouyn-Noranda Huskies2Rochester Americans1LBoxScore
Day:3
327Rochester Americans4Milwaukee Admirals6LBoxScore
Day:7
747Henderson Silver Knights4Rochester Americans3LBoxScore
Day:9
967Rochester Americans6Charlotte Checkers5WBoxScore
Day:10
1079Chisinau Pelicans5Rochester Americans8WBoxScore
Day:12
12100Rochester Americans1Wilkes-Barre/Scranton Penguins2LBoxScore
Day:14
14111Rouyn-Noranda Huskies1Rochester Americans4WBoxScore
Day:17
17135San Antonio Rampage4Rochester Americans7WBoxScore
Day:19
19142Rochester Americans4Joliette Sportif3WBoxScore
Day:22
22158Rochester Americans1Danbury Trashers2LBoxScore
Day:24
24180Mercer Island Hafgufa2Rochester Americans6WBoxScore
Day:27
27196Rochester Americans3Providence Bruins2WBoxScore
Day:29
29211Charlotte Checkers2Rochester Americans4WBoxScore
Day:31
31223Rochester Americans5Manitoba Moose6LBoxScore
Day:32
32240Wilkes-Barre/Scranton Penguins3Rochester Americans2LXBoxScore
Day:34
34259Rochester Americans3Hamilton Bulldogs2WBoxScore
Day:36
36275Binghamton Senators4Rochester Americans3LXBoxScore
Day:39
39287Rochester Americans3Gatineau Olympiques6LBoxScore
Day:42
42309Rochester Americans1Houston Aeros3LBoxScore
Day:43
43317Norfolk Admirals1Rochester Americans8WBoxScore
Day:45
45338Rochester Americans3Joliette Sportif4LBoxScore
Day:49
49349Verdun Junior1Rochester Americans6WBoxScore
Day:51
51368Rochester Americans4Wilkes-Barre/Scranton Penguins3WBoxScore
Day:53
53381Wilkes-Barre/Scranton Penguins3Rochester Americans4WXBoxScore
Day:55
55400Rochester Americans2Lake Erie Monsters1WXXBoxScore
Day:56
56414Bridgeport Sound Tigers2Rochester Americans4WBoxScore
Day:58
58429Rochester Americans8Roberval Dwarfs0WBoxScore
Day:62
62447Henderson Silver Knights3Rochester Americans0LBoxScore
Day:64
64467Rochester Americans5Laval Chiefs2WBoxScore
Day:65
65479Nunavik Natturaliit4Rochester Americans5WXBoxScore
Day:67
67498Rochester Americans2San Antonio Rampage1WBoxScore
Day:69
69513Grand Rapids Griffins3Rochester Americans8WBoxScore
Day:71
71530Rochester Americans1Bridgeport Sound Tigers6LBoxScore
Day:72
72546Chicoutimi Saguenéens4Rochester Americans10WBoxScore
Day:74
74560Rochester Americans8Albany Devils2WBoxScore
Day:75
75574Rochester Americans6Houston Aeros5WBoxScore
Day:78
78586Albany Devils2Rochester Americans3WBoxScore
Day:80
80610Rochester Americans1Connecticut Whale8LBoxScore
Day:81
81618Bridgeport Sound Tigers10Rochester Americans2LBoxScore
Day:82
82641Rochester Americans3Hamilton Bulldogs4LBoxScore
Day:84
84652San Antonio Rampage4Rochester Americans2LBoxScore
Day:86
86674Rochester Americans1Connecticut Whale6LBoxScore
Day:87
87684Nunavik Natturaliit7Rochester Americans1LBoxScore
Day:90
90711Connecticut Whale4Rochester Americans5WBoxScore
Day:92
92734Rochester Americans2Milwaukee Admirals3LBoxScore
Day:93
93740Rochester Americans1Henderson Silver Knights4LBoxScore
Day:94
94751Chisinau Pelicans8Rochester Americans7LXBoxScore
Day:98
98776Danbury Trashers3Rochester Americans5WBoxScore
Day:101
101791Rochester Americans6Danbury Trashers1WBoxScore
Day:103
103811Henderson Silver Knights5Rochester Americans2LBoxScore
Day:107
107836Rouyn-Noranda Huskies2Rochester Americans4WBoxScore
Day:110
110848Rochester Americans2Verdun Junior1WBoxScore
Day:111
111869Trois-Rivières Lions1Rochester Americans4WBoxScore
Day:115
115887Rochester Americans2Chicago Wolves3LXBoxScore
Day:117
117900Rouyn-Noranda Huskies1Rochester Americans2WXXBoxScore
Day:119
119919Rochester Americans5Charlotte Checkers8LBoxScore
Day:120
120933Houston Aeros1Rochester Americans4WBoxScore
Day:122
122948Rochester Americans1Providence Bruins2LBoxScore
Day:123
123961Rochester Americans3Milwaukee Admirals9LBoxScore
Day:124
124975Blainville-Boisbriand Armada1Rochester Americans3WBoxScore
Day:126
126993Rochester Americans5Norfolk Admirals7LBoxScore
Day:128
1281010Norfolk Admirals3Rochester Americans5WBoxScore
Day:130
1301032Charlotte Checkers5Rochester Americans2LBoxScore
Day:132
1321045Rochester Americans7Albany Devils4WBoxScore
Day:134
1341063Mercer Island Hafgufa9Rochester Americans2LBoxScore
Day:135
1351071Rochester Americans5Verdun Junior6LBoxScore
Day:139
1391097Houston Aeros1Rochester Americans3WBoxScore
Day:144
1441121Rochester Americans5Mercer Island Hafgufa4WXBoxScore
Day:145
1451132Manitoba Moose3Rochester Americans8WBoxScore
Day:149
1491157Springfield Falcons1Rochester Americans3WBoxScore
Day:152
1521171Rochester Americans4Springfield Falcons1WBoxScore
Day:154
1541191Lake Erie Monsters5Rochester Americans4LBoxScore
Day:155
1551200Rochester Americans3Grand Rapids Griffins1WBoxScore
Day:157
1571208Rochester Americans4Springfield Falcons3WBoxScore
Day:159
1591225Rochester Americans3Norfolk Admirals2WBoxScore
Day:162
Trade Deadline --- Trades can’t be done after this day is simulated!
1621243The Nuuk Vikings4Rochester Americans1LBoxScore
Day:166
1661265Manitoba Moose6Rochester Americans4LBoxScore
Day:167
1671274Rochester Americans1Charlotte Checkers5LBoxScore
Day:173
1731297Providence Bruins3Rochester Americans5WBoxScore
Day:174
1741301Rochester Americans1Grand Rapids Griffins6LBoxScore
Day:175
1751307Rochester Americans5Manitoba Moose6LXBoxScore
Day:181
1811340Hamilton Bulldogs4Rochester Americans2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1 Level 2

Income
Home Games Left Average Attendance - % Average Income per Game Year to Date Revenue Capacity Team Popularity

Expenses
Year To Date Expenses Players Total Salaries Players Total Average Salaries Coaches Salaries
Salary Cap Per Days Salary Cap To Date Players In Salary Cap Players Out of Salary Cap

Estimate
Estimated Season Revenue Remaining Season Days Expenses Per Days Estimated Season Expenses




Rochester 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

Rochester Americans Goalies Stat Leaders (Regular Season)

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

Rochester Americans Career Team Stats

Overall Home Visitor
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

Rochester 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

Rochester Americans Goalies Stat Leaders (Play-Off)

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