Americans

GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 34 | GA: 10 | PP%: 25.81% | PK%: 86.21%
GM : Frederic Goldstyn | Morale : 50 | Team Overall : 63
Next Games #113 vs Comets

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 SP
1Dalibor Dvorsky0XX100.006939886779858668736165646961638650650
2Raphael Lavoie0XX100.007841836590897863586064626566687250650
3Arthur Kaliyev0XX100.007142866483867766566167606466677450640
4Sam Lafferty (A)0XXX100.007336856781747663806061666273714650640
5Owen Sillinger (A)0X100.006437806367828162656159645869713650620
6Taylor Ward0X100.007242786483808559545860566168703650620
7Matthew Seminoff0X100.006138875770768456605958555764654950590
8Riese Gaber0X100.006137785861757156625957535567693750580
9Oasiz Wiesblatt0X100.006345555763758556605958535662644550580
10Massimo Rizzo0X100.005636935965667058625756535865674750570
11Noah Juulsen (C)0X100.008161876581857663306752774870696550690
12Maxwell Crozier0X100.007345686684867762306856674966685650670
13Charles-Alexis Legault0X100.007745686290817858306059645063655650650
14Daemon Hunt0X100.006637916376777559306552664764676350640
15William Villeneuve0X100.006540736277848258306353614764665750630
Scratches
1Ben King0X88.217443735683717554615557585464665950590
2Brandon Scanlin0X100.008143775690678154305355594667693750620
3Cam Allen0X100.006439715873706757305556584761635750590
4Lleyton Moore0X100.005735955664667155305853544664664350570
TEAM AVERAGE99.37694180617778785949605861556567545062
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 SP
1Arturs Silovs100.00838480888281838281838265735750790
2Jaxson Stauber100.00758379787473757473757467775350730
Scratches
TEAM AVERAGE100.0079848083787779787779786675555076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Don Granato76808173868061USA5931,000,000$


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
1Arthur KaliyevAmericans (Buf)LW/RW675121060823291621.88%112020.110117240001132083.33%600021.9900000110
2Raphael LavoieAmericans (Buf)C/RW6371064012122161414.29%113322.250222190002210066.45%15500001.5000000001
3Dalibor DvorskyAmericans (Buf)C/RW4639520542771122.22%08721.88303480000130080.00%500012.0600000200
4Charles-Alexis LegaultAmericans (Buf)D62687155123156613.33%011619.41213821000016000.00%000001.3700001001
5William VilleneuveAmericans (Buf)D60881140640020.00%39616.0101100000010000.00%000001.6700000100
6Noah JuulsenAmericans (Buf)D617829549102810.00%514424.16123624000019000.00%000001.1000010001
7Daemon HuntAmericans (Buf)D616711003261216.67%39015.010110000002000.00%000001.5500000001
8Sam LaffertyAmericans (Buf)C/LW/RW6336560641941315.79%112420.690111220001162066.67%2400000.9700000010
9Taylor WardAmericans (Buf)RW6426108076206620.00%010517.63101722000020058.33%1200001.1300000020
10Matt KierstedBuffalo SabresD4055600044520.00%88621.60011415000015000.00%000001.1600000000
11Owen SillingerAmericans (Buf)LW63255405521111214.29%010617.80000212000050061.11%1800000.9400000000
12Matthew SeminoffAmericans (Buf)RW613440034121108.33%08914.9600002000000053.85%2600000.8900000000
13Maxwell CrozierAmericans (Buf)D604421351058670.00%714223.76033424000117000.00%000000.5600001000
14Ben KingAmericans (Buf)C40335405611050.00%06416.10000313000010064.18%6700000.9300000000
15Massimo RizzoAmericans (Buf)C62024001631266.67%06210.4110111000050068.18%4400000.6400000000
16Oasiz WiesblattAmericans (Buf)C6101511510995311.11%08213.6900000000020070.31%6400000.2400100000
17Riese GaberAmericans (Buf)RW6000320359330.00%0589.7500000000260060.00%1500000.0000000000
Team Total or Average963464981018820100902277312214.98%29171217.83813214921500071724065.83%43600031.1400112444
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)64200.9031.66326029930100.000060000
2Jaxson StauberAmericans (Buf)10000.9231.8233001130000.000006000
Team Total or Average74200.9061.6735902101060100.000066000


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Arthur KaliyevLW/RW252001-06-26No212 Lbs6 ft2NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Arturs SilovsG252001-03-22No208 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ben King (Out of Payroll)C242002-05-15No200 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$YesLink / NHL Link
Brandon ScanlinD271999-06-02No218 Lbs6 ft4NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Cam AllenD212005-01-07No194 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Charles-Alexis LegaultD232003-09-05No220 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Daemon HuntD242002-05-15No193 Lbs6 ft1NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Dalibor DvorskyC/RW212005-06-15No207 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Jaxson StauberG271999-04-27No174 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Lleyton MooreD242002-02-27No178 Lbs5 ft8NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Massimo RizzoC252001-06-13No175 Lbs5 ft10NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Matthew SeminoffRW222003-12-27No188 Lbs5 ft11NoNoNo2ELCPro & Farm300,000$0$0$NoLink / NHL Link
Maxwell CrozierD262000-04-19No204 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Noah JuulsenD291997-04-02No201 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Oasiz WiesblattC222004-04-08No180 Lbs5 ft7NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Owen SillingerLW291997-09-23No182 Lbs5 ft10NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Raphael LavoieC/RW262000-09-25No217 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Riese GaberRW271999-10-10No163 Lbs5 ft8NoNoNo1UFAPro & Farm300,000$0$0$NoLink
Sam LaffertyC/LW/RW311995-03-06No205 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Taylor WardRW281998-03-31No215 Lbs6 ft2NoNoNo4UFAPro & Farm500,000$0$0$NoLink / NHL Link
William VilleneuveD242002-03-20No183 Lbs6 ft2NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2125.24196 Lbs6 ft12.05419,048$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam LaffertyRaphael LavoieDalibor Dvorsky40122
2Arthur KaliyevTaylor Ward30122
3Owen SillingerOasiz WiesblattMatthew Seminoff20122
4Raphael LavoieMassimo RizzoRiese Gaber10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenMaxwell Crozier40122
2Charles-Alexis Legault30122
3Daemon HuntWilliam Villeneuve20122
4Noah JuulsenMaxwell Crozier10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sam LaffertyRaphael LavoieDalibor Dvorsky60122
2Arthur KaliyevTaylor Ward40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenMaxwell Crozier60122
2Charles-Alexis Legault40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Raphael LavoieDalibor Dvorsky60122
2Sam LaffertyArthur Kaliyev40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenMaxwell Crozier60122
2Charles-Alexis Legault40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Raphael Lavoie60122Noah JuulsenMaxwell Crozier60122
2Dalibor Dvorsky40122Charles-Alexis Legault40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Raphael LavoieDalibor Dvorsky60122
2Sam LaffertyArthur Kaliyev40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Noah JuulsenMaxwell Crozier60122
2Charles-Alexis Legault40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sam LaffertyRaphael LavoieDalibor DvorskyNoah JuulsenMaxwell Crozier
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sam LaffertyRaphael LavoieDalibor DvorskyNoah JuulsenMaxwell Crozier
Extra Forwards
Normal PowerPlayPenalty Kill
Owen Sillinger, Matthew Seminoff, Riese GaberOwen Sillinger, Matthew SeminoffRiese Gaber
Extra Defensemen
Normal PowerPlayPenalty Kill
Daemon Hunt, William Villeneuve, Daemon HuntWilliam Villeneuve,
Penalty Shots
Raphael Lavoie, Dalibor Dvorsky, Sam Lafferty, Arthur Kaliyev, Owen Sillinger
Goalie
#1 : Arturs Silovs, #2 : Jaxson Stauber
Custom OT Lines Forwards
Raphael Lavoie, Dalibor Dvorsky, Sam Lafferty, Arthur Kaliyev, Owen Sillinger, Taylor Ward, Taylor Ward, Matthew Seminoff, , Riese Gaber, Oasiz Wiesblatt
Custom OT Lines Defensemen
Noah Juulsen, Maxwell Crozier, , Charles-Alexis Legault, Daemon Hunt


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
68W4346498227106298810002
All Games
GPWLOTWOTL SOWSOLGFGA
64200003410
Home Games
GPWLOTWOTL SOWSOLGFGA
3210000172
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3210000178
Last 10 Games
WLOTWOTL SOWSOL
420000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
31825.81%29486.21%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
73678701212100
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12920562.93%9714765.99%619365.59%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
19915194346639


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 - 2026-10-164Senators2Americans1LBoxScore
9 - 2026-10-1714Americans2Comets5LBoxScore
15 - 2026-10-2337Marlies0Americans9WBoxScore
16 - 2026-10-2443Americans8Marlies1WBoxScore
20 - 2026-10-2866Monsters0Americans7WBoxScore
23 - 2026-10-3186Americans7Monsters2WBoxScore
29 - 2026-11-06113Americans-Comets-
30 - 2026-11-07126Americans-Comets-
34 - 2026-11-11143Americans-Monsters-
36 - 2026-11-13153Wolfpack-Americans-
37 - 2026-11-14157Americans-Penguins-
41 - 2026-11-18187Rocket-Americans-
44 - 2026-11-21202Rocket-Americans-
45 - 2026-11-22217Americans-Marlies-
48 - 2026-11-25224Americans-Rocket-
50 - 2026-11-27235Bears-Americans-
51 - 2026-11-28244Comets-Americans-
55 - 2026-12-02265Monsters-Americans-
57 - 2026-12-04273Crunch-Americans-
58 - 2026-12-05281Americans-Crunch-
62 - 2026-12-09305Comets-Americans-
64 - 2026-12-11309Americans-Checkers-
65 - 2026-12-12320Americans-Checkers-
69 - 2026-12-16346Americans-Rocket-
71 - 2026-12-18354Americans-Senators-
72 - 2026-12-19366Americans-Senators-
76 - 2026-12-23391Crunch-Americans-
78 - 2026-12-25402Crunch-Americans-
80 - 2026-12-27421Americans-Monsters-
85 - 2027-01-01433Comets-Americans-
86 - 2027-01-02443Americans-Comets-
92 - 2027-01-08475Americans-Thunderbirds-
93 - 2027-01-09482Americans-Islanders-
99 - 2027-01-15516Comets-Americans-
100 - 2027-01-16525Americans-Crunch-
106 - 2027-01-22562Phantoms-Americans-
107 - 2027-01-23572Americans-Phantoms-
108 - 2027-01-24583Americans-Bears-
113 - 2027-01-29606Americans-Bruins-
114 - 2027-01-30614Americans-Wolfpack-
118 - 2027-02-03639Comets-Americans-
120 - 2027-02-05652Crunch-Americans-
121 - 2027-02-06662Americans-Crunch-
127 - 2027-02-12682Senators-Americans-
131 - 2027-02-16707Americans-Monsters-
134 - 2027-02-19725Crunch-Americans-
135 - 2027-02-20733Americans-Comets-
136 - 2027-02-21746Rocket-Americans-
139 - 2027-02-24762Monsters-Americans-
141 - 2027-02-26773Senators-Americans-
142 - 2027-02-27780Marlies-Americans-
146 - 2027-03-03808Penguins-Americans-
148 - 2027-03-05817Americans-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2027-03-06828Americans-Crunch-
155 - 2027-03-12862Americans-Rocket-
156 - 2027-03-13869Americans-Rocket-
160 - 2027-03-17897Checkers-Americans-
162 - 2027-03-19907Bruins-Americans-
169 - 2027-03-26952Checkers-Americans-
170 - 2027-03-27963Americans-Crunch-
171 - 2027-03-28974Comets-Americans-
176 - 2027-04-02996Islanders-Americans-
177 - 2027-04-031004Americans-Crunch-
178 - 2027-04-041019Crunch-Americans-
181 - 2027-04-071032Thunderbirds-Americans-
183 - 2027-04-091042Americans-Senators-
184 - 2027-04-101056Americans-Senators-
188 - 2027-04-141075Senators-Americans-
190 - 2027-04-161084Rocket-Americans-
195 - 2027-04-211117Monsters-Americans-
197 - 2027-04-231130Marlies-Americans-
198 - 2027-04-241138Americans-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance5,5182,910
Attendance PCT91.97%97.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 2809 - 93.64% 69,456$208,367$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
130,938$ 85,000$ 85,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 10,338$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,292,037$ 175 5,452$ 954,100$




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
20724814031332511121393623701122123556836257020111285771112251455706115081917320890635696743147143694712793866416.58%3974688.41%51471229364.15%1220198061.62%629101462.03%208515321433473841460
2164200000341024321000001721532100000178983464980212121002277367870106298810031825.81%29486.21%012920562.93%9714765.99%619365.59%19915194346639
Total Regular Season924555241033253238300416221382462285112019132211153179373846227012901412102714738296441303300454648468718212113796083027231738970890090932002159101159617039484784717.47%488359987.73%47178752976260.06%149752636756.79%75791286258.93%2581918853192386184108505805
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