Americans

GP: 6 | W: 4 | L: 0 | OTL: 2 | P: 10
GF: 24 | GA: 6 | PP%: 18.18% | PK%: 92.59%
GM : Frederic Goldstyn | Morale : 50 | Team Overall : 63
Next Games #113 vs Comets

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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 SP
1Sam Lafferty0XXX100.007836866781788665756364696572744850660
2Arthur Kaliyev0XX100.006536896682797267506265616865647550640
3Dalibor Dvorsky0X100.006438896678857163726059646261658850630
4Raphael Lavoie0XX100.007742736389878359645862576366677250630
5Brandon Biro0X100.005536886366788262676361626367693750620
6Matt Savoie0X100.006037866667827465736459606261638650620
7Owen Sillinger0X100.006337766067828162696057635968703650620
8Taylor Ward0X100.007541736182848656675860595667693750620
9Ben King0X100.007441825983758358645759605663656050610
10Mathias Laferriere0X100.006939895978748358555754565865674750600
11Nick Swaney0X100.005636935966856956605758535668704150590
12Uvis Balinskis0X100.007040856874838664307060655269713650670
13Sam Malinski0X100.006537916870848765307063625467683750660
14Daemon Hunt0X100.006738876378748362306158654963656650640
15Maxwell Crozier0X100.007243706383818262306458605165675650640
16Matt Kiersted0X100.006738756371798361306456624967693750640
Scratches
1Kevin Labanc0XX100.007134896769787466536860626574703950640
2Riese Gaber0X100.006136875961776158646156535766684250580
3Matthew Seminoff0X100.005738895670688455575453585262644950570
4Massimo Rizzo0X100.005636935965636857655856535764664850570
5Noah Juulsen0X100.008661856581867663306252814868706650700
6Brandon Scanlin0X100.007740835891758456305355594766684250630
7Guillaume Brisebois0X100.006537905875817057305655624968705550620
8William Villeneuve0X100.006340756672708065306854574863655850620
9Charles-Alexis Legault0X100.008043725789687156305553594562645750610
10Akito Hirose0X100.006437845768767258305655594866684250600
11Mikko Kokkonen0X100.006638865872678156305753554664666350600
12Lleyton Moore0X100.005536945664636853305554514663654450560
TEAM AVERAGE100.00673984627577786048605760556667525062
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PriorityTypeDescription
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Arturs Silovs100.00778480877675777675777664715850750
2Jaxson Stauber100.00758278787473757473757466755550730
Scratches
TEAM AVERAGE100.0076837983757476757476756573575074
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato76808173868061USA5841,000,000$


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
1Brandon BiroAmericans (Buf)LW655101020012351221.74%012520.86134325000021075.00%400001.6000000110
2Uvis BalinskisAmericans (Buf)D6191084014911289.09%414624.42011825000024000.00%000001.3600000110
3Arthur KaliyevAmericans (Buf)LW/RW6347400362031315.00%011519.270228230000261066.67%1200001.2102000002
4Sam LaffertyAmericans (Buf)C/LW/RW6527540112038112413.16%214824.731019220000231067.76%15200000.9412000210
5Raphael LavoieAmericans (Buf)C/RW63258115771651618.75%010818.162027260000111072.22%10800000.9200010000
6Sam MalinskiAmericans (Buf)D61454406416076.25%613422.420221221000017000.00%000000.7400000000
7Taylor WardAmericans (Buf)RW605589512296150.00%09515.90011326000000050.00%400001.0500001002
8Daemon HuntAmericans (Buf)D613441357412438.33%611819.79134820000011000.00%000000.6700010000
9Kevin LabancAmericans (Buf)LW/RW41232204312268.33%07418.681017150001110085.00%2000000.8002000000
10Maxwell CrozierAmericans (Buf)D61234407381612.50%19415.760003400004000.00%000000.6300000010
11Owen SillingerAmericans (Buf)LW6033320106143100.00%09115.2100000000000060.00%500000.6600000000
12Ben KingAmericans (Buf)C62023202040450.00%0376.2600001000020040.00%1000001.0600000010
13Dalibor DvorskyAmericans (Buf)C611234047277243.70%19515.8800010000000067.44%8600000.4200000000
14Matt KierstedAmericans (Buf)D6022440371230.00%19015.130000000009000.00%000000.4400000000
15Matt SavoieAmericans (Buf)C6011100177280.00%1528.8200000000080062.79%4300000.3800000000
16Nick SwaneyAmericans (Buf)RW6011120003140.00%1376.22000000000000100.00%300000.5400000000
17Mathias LaferriereAmericans (Buf)RW6011340635260.00%09115.2100000000000075.00%400000.2200000000
18Noah JuulsenAmericans (Buf)D1000020220000.00%11616.130000200001000.00%000000.0000000000
Team Total or Average10124477175731599912265616910.62%24167516.59612186921900011544068.51%45100000.8516021454
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 SilovsAmericans (Buf)64020.9630.653702241080000.500660101
Team Total or Average64020.9630.653702241080000.500660101


Filter Tips
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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
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
Akito HiroseD261999-04-09No170 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arthur KaliyevLW/RW242001-06-26No210 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arturs SilovsG242001-03-22No203 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ben KingC232002-05-15No200 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon BiroLW271998-03-11No170 Lbs5 ft11NoNoNo4UFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon ScanlinD261999-06-02No218 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Charles-Alexis LegaultD222003-09-05No215 Lbs6 ft4NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Daemon HuntD232002-05-15No201 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Dalibor DvorskyC202005-06-15No201 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Guillaume BriseboisD281997-07-21No175 Lbs6 ft2NoNoNo3UFAPro & Farm300,000$0$0$NoLink
Jaxson StauberG261999-04-27No174 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Kevin LabancLW/RW291995-12-12No185 Lbs5 ft11NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Lleyton MooreD232002-02-27No178 Lbs5 ft8NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Massimo RizzoC242001-06-13No175 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Mathias LaferriereRW252000-06-27No188 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matt KierstedD271998-04-14No182 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt SavoieC212004-01-01No179 Lbs5 ft9NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Matthew SeminoffRW212003-12-27No188 Lbs5 ft11NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Maxwell CrozierD252000-04-19No198 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mikko KokkonenD242001-01-18No198 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nick SwaneyRW281997-09-09No178 Lbs5 ft10NoNoNo3UFAPro & Farm300,000$0$0$NoLink
Noah JuulsenD281997-04-02No201 Lbs6 ft2NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Owen SillingerLW281997-09-23No182 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Raphael LavoieC/RW252000-09-25No215 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Riese GaberRW261999-10-10No163 Lbs5 ft8NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Sam LaffertyC/LW/RW301995-03-06No205 Lbs6 ft2NoNoNo1UFAPro & Farm830,000$0$0$NoLink / NHL Link
Sam MalinskiD271998-07-27No190 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Taylor WardRW271998-03-31No207 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Uvis BalinskisD291996-08-01No196 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
William VilleneuveD232002-03-20No175 Lbs6 ft1NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3025.30191 Lbs6 ft12.30434,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Arthur KaliyevSam Lafferty40122
2Brandon BiroRaphael LavoieTaylor Ward30122
3Owen SillingerDalibor DvorskyMathias Laferriere20122
4Sam LaffertyMatt SavoieNick Swaney10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis Balinskis40122
2Sam MalinskiDaemon Hunt30122
3Maxwell CrozierMatt Kiersted20122
4Uvis Balinskis10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Arthur KaliyevSam Lafferty60122
2Brandon BiroRaphael LavoieTaylor Ward40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis Balinskis60122
2Sam MalinskiDaemon Hunt40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam LaffertyArthur Kaliyev60122
2Raphael Lavoie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis Balinskis60122
2Sam MalinskiDaemon Hunt40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Lafferty60122Uvis Balinskis60122
2Arthur Kaliyev40122Sam MalinskiDaemon Hunt40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam LaffertyArthur Kaliyev60122
2Raphael Lavoie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Uvis Balinskis60122
2Sam MalinskiDaemon Hunt40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Arthur KaliyevSam LaffertyUvis Balinskis
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Arthur KaliyevSam LaffertyUvis Balinskis
Extra Forwards
Normal PowerPlayPenalty Kill
Ben King, Dalibor Dvorsky, Matt SavoieBen King, Dalibor DvorskyMatt Savoie
Extra Defensemen
Normal PowerPlayPenalty Kill
Maxwell Crozier, Matt Kiersted, Sam MalinskiMaxwell CrozierMatt Kiersted, Sam Malinski
Penalty Shots
Sam Lafferty, Arthur Kaliyev, , Raphael Lavoie, Dalibor Dvorsky
Goalie
#1 : Arturs Silovs, #2 : Jaxson Stauber


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
610W424477122610825759902
All Games
GPWLOTWOTL SOWSOLGFGA
6400002246
Home Games
GPWLOTWOTL SOWSOLGFGA
320000194
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3200001152
Last 10 Games
WLOTWOTL SOWSOL
400002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
33618.18%27292.59%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
766680108971
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15121669.91%9913672.79%628771.26%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
20515797336639


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
8 - 2025-08-224Senators2Americans1LXXBoxScore
9 - 2025-08-2314Americans1Comets2LXXBoxScore
15 - 2025-08-2937Marlies1Americans5WBoxScore
16 - 2025-08-3043Americans7Marlies0WBoxScore
20 - 2025-09-0366Monsters1Americans3WBoxScore
23 - 2025-09-0686Americans7Monsters0WBoxScore
29 - 2025-09-12113Americans-Comets-
30 - 2025-09-13126Americans-Comets-
34 - 2025-09-17143Americans-Monsters-
36 - 2025-09-19153Wolfpack-Americans-
37 - 2025-09-20157Americans-Penguins-
41 - 2025-09-24187Rocket-Americans-
44 - 2025-09-27202Rocket-Americans-
45 - 2025-09-28217Americans-Marlies-
48 - 2025-10-01224Americans-Rocket-
50 - 2025-10-03235Bears-Americans-
51 - 2025-10-04244Comets-Americans-
55 - 2025-10-08265Monsters-Americans-
57 - 2025-10-10273Crunch-Americans-
58 - 2025-10-11281Americans-Crunch-
62 - 2025-10-15305Comets-Americans-
64 - 2025-10-17309Americans-Checkers-
65 - 2025-10-18320Americans-Checkers-
69 - 2025-10-22346Americans-Rocket-
71 - 2025-10-24354Americans-Senators-
72 - 2025-10-25366Americans-Senators-
76 - 2025-10-29391Crunch-Americans-
78 - 2025-10-31402Crunch-Americans-
80 - 2025-11-02421Americans-Monsters-
85 - 2025-11-07433Comets-Americans-
86 - 2025-11-08443Americans-Comets-
92 - 2025-11-14475Americans-Thunderbirds-
93 - 2025-11-15482Americans-Islanders-
99 - 2025-11-21516Comets-Americans-
100 - 2025-11-22525Americans-Crunch-
106 - 2025-11-28562Phantoms-Americans-
107 - 2025-11-29572Americans-Phantoms-
108 - 2025-11-30583Americans-Bears-
113 - 2025-12-05606Americans-Bruins-
114 - 2025-12-06614Americans-Wolfpack-
118 - 2025-12-10639Comets-Americans-
120 - 2025-12-12652Crunch-Americans-
121 - 2025-12-13662Americans-Crunch-
127 - 2025-12-19682Senators-Americans-
131 - 2025-12-23707Americans-Monsters-
134 - 2025-12-26725Crunch-Americans-
135 - 2025-12-27733Americans-Comets-
136 - 2025-12-28746Rocket-Americans-
139 - 2025-12-31762Monsters-Americans-
141 - 2026-01-02773Senators-Americans-
142 - 2026-01-03780Marlies-Americans-
146 - 2026-01-07808Penguins-Americans-
148 - 2026-01-09817Americans-Comets-
149 - 2026-01-10828Americans-Crunch-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-01-16862Americans-Rocket-
156 - 2026-01-17869Americans-Rocket-
160 - 2026-01-21897Checkers-Americans-
162 - 2026-01-23907Bruins-Americans-
169 - 2026-01-30952Checkers-Americans-
170 - 2026-01-31963Americans-Crunch-
171 - 2026-02-01974Comets-Americans-
176 - 2026-02-06996Islanders-Americans-
177 - 2026-02-071004Americans-Crunch-
178 - 2026-02-081019Crunch-Americans-
181 - 2026-02-111032Thunderbirds-Americans-
183 - 2026-02-131042Americans-Senators-
184 - 2026-02-141056Americans-Senators-
188 - 2026-02-181075Senators-Americans-
190 - 2026-02-201084Rocket-Americans-
195 - 2026-02-251117Monsters-Americans-
197 - 2026-02-271130Marlies-Americans-
198 - 2026-02-281138Americans-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5,8682,777
Attendance PCT97.80%92.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2882 - 96.06% 72,463$217,390$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
146,620$ 130,300$ 130,300$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 16,620$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,391,290$ 174 5,652$ 983,448$




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
12825319032232811321494128803110145628341251100113136706612128150478502001138974232407857657611575461117716954688718.59%4974291.55%71583255162.05%1308215860.61%694114160.82%241617741586528955531
13764128022212061376938211301120955441382015011011118328932063685740150767155189906226256331525428117516834537516.56%5216587.52%11224233952.33%1157215453.71%546103952.55%207614761604531906481
1476451901245201128733824701231107664138211200014946232107201359560117077487121340737666712167350978713033926215.82%3203788.44%51403248856.39%1196221054.12%565101855.50%202514561656536927481
1476451901245201128733824701231107664138211200014946232107201359560117077487121340737666712167350978713033926215.82%3203788.44%51403248856.39%1196221054.12%565101855.50%202514561656536927481
1476451901245201128733824701231107664138211200014946232107201359560117077487121340737666712167350978713033926215.82%3203788.44%51403248856.39%1196221054.12%565101855.50%202514561656536927481
1582442405243234142924123120212111867514121120312211675411112344326660130808362225807247727431873544111614654106315.37%4946187.65%31658263163.02%1475248059.48%686112261.14%224716171750557967517
1582442405243234142924123120212111867514121120312211675411112344326660130808362225807247727431873544111614654106315.37%4946187.65%31658263163.02%1475248059.48%686112261.14%224716171750557967517
1682373304431253209444117170312112710621412016013101261032393253453706250958665235208207637561986538104414604237617.97%4558880.66%41477256957.49%1239248249.92%649118654.72%214115571879552938484
177252130211328612116536275010121485692362580110113865731142865278130150122926925170823821856147946289013363818221.52%3494188.25%21498239762.49%1200192962.21%642100763.75%206715391450470829446
187251130341035012023036285020101826212036238014001685811011435064099001401391258226440844851939159946885713343387823.08%3354486.87%61485233663.57%1132197957.20%664108061.48%219616731340426799444
1970461403106272113159352111011011376473352530200513549861052725127841190108867522610715750783151547382513133716517.52%3523689.77%11483234663.21%1084194855.65%627100462.45%206415441378438797434
206400000224618320000019453200000115213102447710289712267666801010825759933618.18%27292.59%015121669.91%9913672.79%628771.26%20515797336639
Total Regular Season8525072250302429372743150612374262621040181220101400740660426245121012129271343766577119327434992773561678105386675825141768334819783601855254701063615759446378117.50%448455187.71%42164262748059.77%137572437656.44%69511184258.70%2374017327178085709100095344
Playoff
11191180000035332853000001412211650000021210223564990101110144600169133154382105392453164159.15%1611690.06%132067747.27%28658948.56%12426347.15%470316462149231118
1216970000042366844000002320385300000191631842751170101611153580119119118349882113261081816.67%89989.89%022849046.53%20446344.06%9621844.04%410282362119199102
1351400000713-62020000026-43120000057-22714210003131170264546104288811043511.63%36683.33%09017152.63%6915843.67%367150.70%12385115406030
144040000059-42020000046-22020000013-205914000221970303136952244441119.09%16287.50%16512452.42%7013452.24%314963.27%9364100325023
15624000001315-23120000045-131200000910-141322350004541510583751142438311641512.20%381073.68%010920253.96%11719360.62%5510253.92%150102150528339
162314900000524661192000002615111257000002631-528529915100012142154801491761475621743494581302317.69%1482285.14%245976360.16%45278757.43%17733153.47%645450602188313158
17137600000433211734000001916364200000241681443741170102111114180165128119357961572258689.30%651281.54%020544046.59%19241646.15%8918049.44%3352463089214574
1812660000024240624000001314-164200000111011224467011097631309410296341901572248067.50%721184.72%018239945.61%18041543.37%7017041.18%2942033079414670
19106400000352510532000001811753200000171431235649900013111027408194912447614220849918.37%541375.93%017030455.92%14431346.01%9115658.33%2651932356811961
Total Playoff108565200000256233235227250000012310518562927000001331285112256467723140917285273608918658582576722162321647129012.64%67910185.13%41828357051.20%1714346849.42%769154049.94%2787194426468381350679