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Pantheres
GP: 82 | W: 49 | L: 21 | OTL: 12 | P: 110
GF: 284 | GA: 222 | PP%: 44.25% | PK%: 68.81%
GM : Keven Richard | Morale : 50 | Team Overall : 57
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Game Center
Pantheres
49-21-12, 110pts
2
FINAL
1 Wolf Pack
47-27-8, 102pts
Team Stats
SOL1StreakW1
25-10-6Home Record22-14-5
24-11-6Away Record25-13-3
7-2-1Last 10 Games8-2-0
3.46Goals Per Game3.46
2.71Goals Against Per Game2.95
44.25%Power Play Percentage40.48%
68.81%Penalty Kill Percentage61.39%
Wolf Pack
47-27-8, 102pts
3
FINAL
2 Pantheres
49-21-12, 110pts
Team Stats
W1StreakSOL1
22-14-5Home Record25-10-6
25-13-3Away Record24-11-6
8-2-0Last 10 Games7-2-1
3.46Goals Per Game3.46
2.95Goals Against Per Game2.71
40.48%Power Play Percentage44.25%
61.39%Penalty Kill Percentage68.81%
Team Leaders
Goals
Nicolas Aube-Kubel
3
Carter RowneyAssists
Carter Rowney
5
Carter RowneyPoints
Carter Rowney
7
Carter RowneyPlus/Minus
Carter Rowney
2
Wins
Jonas Johansson
47
Save Percentage
Jonas Johansson
0.913

Team Stats
Goals For
284
3.46 GFG
Shots For
2561
31.23 Avg
Power Play Percentage
44.2%
173 GF
Offensive Zone Start
37.9%
Goals Against
222
2.71 GAA
Shots Against
2420
29.51 Avg
Penalty Kill Percentage
68.8%
97 GA
Defensive Zone Start
36.2%
Team Info

General ManagerKeven Richard
CoachDean Evason
DivisionCentrale
ConferenceOuest
CaptainRon Hainsey
Assistant #1Brendan Smith
Assistant #2Evan Rodrigues


Arena Info

Capacity3,000
Attendance2,483
Season Tickets300


Roster Info

Pro Team47
Farm Team21
Contract Limit68 / 75
Prospects41


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Matt CalvertX100.007045888444695953504850705075730506503232,100,000$
2Evan Rodrigues (A)X100.006634918548717153554850635063680476402841,100,000$
3Keegan Kolesar (R)X100.00865382815267775153494656475165050620241700,000$
4Juho LammikkoX100.00703391854867734455454865485465050600252750,000$
5Ross Colton (R)X100.00693391844864535057464957675464050600254800,000$
6Karson KuhlmanX100.00723793834463404848474960495764050600263700,000$
7Dmytro TimashovX100.007033948141604646484649614954610445902511,600,000$
8Kurtis GabrielX100.00725188834757404448454859486368050580282575,000$
9Anthony Angello (R)X100.00733394834759344448464657475464050570251750,000$
10Kevin Roy (R)X100.00543086854751513644414159426967050530283600,000$
11Danick Martel (R)X100.00563086844951513743424151426665050520274600,000$
12Anthony Greco (R)X100.00542986843750503644414154426966050520283650,000$
13Brendan Smith (A)X100.007757678457728551504841675075750506503231,100,000$
14Jeremy LauzonX100.00784383835769635048473871475165050620241800,000$
15Erik BrannstromX100.00653589855564535547483962474558050610222900,000$
16Ron Hainsey (C)X100.005832948457666051534335695099900506104013,500,000$
17Dakota MermisX100.00653195835355274748463862476062050570273850,000$
Scratches
1Vinni LettieriX100.00633293845462464447454863485764050590262575,000$
2Zac RinaldoX100.00714293826958304550464960497272050590312600,000$
3Michael SgarbossaX100.00603595856856254549454857496668050580293850,000$
4Dmitrij JaskinX100.00533195817553304542424855496969050570283575,000$
5Kyle RauX100.00633594844758254548454859496669050570294600,000$
6Laurent DauphinX100.00493195866051254542414855496364050560263650,000$
7Joseph CramarossaX100.00593495844155254547444855496668050560291700,000$
8Curtis Valk (R)X100.00603295854255254049454560466668050550282625,000$
9Dakota Joshua (R)X100.00663794835358254152454559465463050550253750,000$
10Shane Gersich (R)X100.00603295854455254048454560465764050550251650,000$
11Cameron Hughes (R)X100.00613595886655254048454558465462050550251750,000$
12Carsen Twarynski (R)X100.00643295834357254048454564465162050550241675,000$
13Mikhail Vorobyev (R)X100.005831898449593841534444554454610505502411,100,000$
14Otto Koivula (R)X100.00613190805056293848434358445160050530231650,000$
15Rourke Chartier (R)X100.00562986833951513743414151426062050520251575,000$
16Jan RuttaX99.806633888456655952504938695072720506203141,100,000$
17Matt HunwickX100.005631948358512548514335615090810505703621,000,000$
18Matt BartkowskiX100.00583095835450254550483656507872050560331950,000$
19Brandon ManningX100.00563893825854314550433554507569050550311850,000$
20Carl DahlstromX100.00543294796556324648433558576062050550263700,000$
21Chris WidemanX100.00503195845452264650433352507870050540314900,000$
22Keaton Middleton (R)X100.00613295786151254247453750384856050530234850,000$
23Brady Keeper (R)X100.00603095835450254248453750385459050530253700,000$
24Trevor Murphy (R)X100.00603095845150254248403560386063050520262700,000$
25Nelson Nogier (R)X100.00542786845345233843413445346059050490252575,000$
TEAM AVERAGE99.9863359183525840454945435947636605057
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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jonas Johansson (R)100.0061508882547978595753525757046620
2Aaron Dell100.0062497376607878596048598165048610
Scratches
1Cayden Primeau (R)100.0057357677557474565542574144050540
2Samuel Montembeault (R)100.0055397171557372545443684951046540
3Spencer Martin (R)100.0064307173667569626420575755050510
TEAM AVERAGE100.006041767658767458584159575404856
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Dean Evason71828685727368CAN572900,000$


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
1Evan RodriguesPantheres (NYI)C724167108-3235981102599516515.83%41156821.792455794121411251856357.81%186312975011.383180011164
2Matt CalvertPantheres (NYI)LW69465096-14151101033038120615.18%34152122.0532316352206213131771357.06%49611363041.263180011246
3Keegan KolesarPantheres (NYI)RW8135518659810174782378314814.77%36162020.01233962372421015975659.88%1629151011.06316002386
4Ross ColtonPantheres (NYI)C8029507951401091082416014812.03%38137417.181637533018801151085254.17%10198430011.15512000763
5Dmytro TimashovPantheres (NYI)LW80283058-1180111941976710814.21%24135916.99192140261951018823262.30%617645010.8511000442
6Jeremy LauzonPantheres (NYI)D80113344-1268015012912055499.17%116210026.25101626222560117208220.00%031168000.4211000023
7Brendan SmithPantheres (NYI)D82152843-81831520812216961858.88%125219926.8314163025275000118314100.00%154165000.3912120303
8Kurtis GabrielPantheres (NYI)RW75162541-1045510848123498913.01%23112715.03101929211620000141351.92%524934000.7301100033
9Karson KuhlmanPantheres (NYI)C69121325-760907214253948.45%1593813.6055107420002524048.33%4786738000.5323000034
10Ron HainseyPantheres (NYI)D8261622-9160581117929267.59%88168220.51671361790000166200.00%020103000.2601000111
11Jan RuttaPantheres (NYI)D8141822-43401141168435394.76%82179322.14491391950002188100.00%029122000.2503000010
12Juho LammikkoPantheres (NYI)C828715-980917915337695.23%2588010.740220260000181055.06%3166638000.3411000120
13Anthony AngelloPantheres (NYI)RW808614140916312744596.30%1692011.501121130110623155.93%596117000.3000000121
14Otto KoivulaPantheres (NYI)LW6347-2409585637.50%19215.4932531900001210.00%534001.5100000002
15Carter RowneyIslandersRW525720045114918.18%311422.802463100000240163.16%13375001.2311000100
16Kevin RoyPantheres (NYI)LW77156-1020043534712262.13%1580310.44000050000201052.63%192019000.1500000000
17Carsen TwarynskiPantheres (NYI)LW35134-1203536357212.86%942212.07011018000051045.45%11912000.1900000000
18Danick MartelPantheres (NYI)LW53134-112028161811235.56%44548.5800000000000150.00%4119000.1800000000
19Dmitrij JaskinPantheres (NYI)RW3022400015283917265.13%1039313.111231290000181021.05%192813000.2011000001
20Nicolas Aube-KubelIslandersRW7314-21402182161814.29%313919.863144140000140151.85%2745000.5801000000
21Anthony GrecoPantheres (NYI)RW52224-6603022308146.67%114398.4500003000000066.67%61514000.1800000000
22Dakota MermisPantheres (NYI)D6003361003248279120.00%4882513.7600007000081000.00%0254000.0702000000
23Erik BrannstromPantheres (NYI)D82123426055604726192.13%51111613.61000021000036000.00%0763000.0511000010
24Carl DahlstromPantheres (NYI)D20022-4607195330.00%1426713.3800000000021000.00%0117000.1501000000
25Zac RinaldoPantheres (NYI)C140111001211256160.00%01359.6600004000060062.26%5372000.1500000000
26Brandon ManningPantheres (NYI)D1000000131000.00%01414.320000000002000.00%000000.0000000000
27Shane GersichPantheres (NYI)LW5000-100445340.00%1459.010000000001000.00%224000.0000000000
28Trevor MurphyPantheres (NYI)D1000000030000.00%11414.230000000002000.00%000000.0000000000
29Vinni LettieriPantheres (NYI)C7000-200367460.00%27210.3500003000020044.44%1846000.0011000000
30Mikhail VorobyevPantheres (NYI)C1000020100000.00%022.820000000000000.00%100000.0000000000
Team Total or Average1469275427702-6966040181215602560870148810.74%8362443916.6417326844128823385510481783403055.71%48059901176080.572485224444339
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
1Jonas JohanssonPantheres (NYI)794720120.9132.5247946020123201217820.70284790965
2Aaron DellPantheres (NYI)62100.9082.392260099853100.0000377000
Team Total or Average854921120.9132.5150216021024181270920.702848277965


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
Aaron DellPantheres (NYI)G321989-01-01No209 Lbs6 ft0NoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$NHL Link
Anthony AngelloPantheres (NYI)RW251996-01-01Yes210 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
Anthony GrecoPantheres (NYI)RW281993-01-01Yes176 Lbs5 ft10NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Brady KeeperPantheres (NYI)D251996-01-01Yes197 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Brandon Manning (1 Way Contract)Pantheres (NYI)D311990-01-01No205 Lbs6 ft1NoNoNo1Farm Only850,000$425,000$0$NoNHL Link
Brendan SmithPantheres (NYI)D321989-01-01No200 Lbs6 ft2NoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$NHL Link
Cameron HughesPantheres (NYI)C251996-01-01Yes160 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$No
Carl DahlstromPantheres (NYI)D261995-01-01No231 Lbs6 ft4NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$NHL Link
Carsen TwarynskiPantheres (NYI)LW241997-01-01Yes198 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$No
Cayden PrimeauPantheres (NYI)G221999-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm625,000$0$0$No
Chris WidemanPantheres (NYI)D311990-01-01No183 Lbs5 ft10NoNoNo4Pro & Farm900,000$0$0$No900,000$900,000$900,000$NHL Link
Curtis ValkPantheres (NYI)C281993-01-01Yes170 Lbs5 ft9NoNoNo2Pro & Farm625,000$0$0$No625,000$
Dakota JoshuaPantheres (NYI)C251996-01-01Yes199 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Dakota MermisPantheres (NYI)D271994-01-01No196 Lbs6 ft0NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$NHL Link
Danick MartelPantheres (NYI)LW271994-01-01Yes176 Lbs5 ft8NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$NHL Link
Dmitrij JaskinPantheres (NYI)RW281993-01-01No216 Lbs6 ft2NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$NHL Link
Dmytro TimashovPantheres (NYI)LW251996-01-01No198 Lbs5 ft10NoNoNo1Pro & Farm1,600,000$0$0$No
Erik BrannstromPantheres (NYI)D221999-01-01No181 Lbs5 ft9NoNoNo2Pro & Farm900,000$0$0$No900,000$
Evan RodriguesPantheres (NYI)C281993-01-01No184 Lbs5 ft11NoNoNo4Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$NHL Link
Jan RuttaPantheres (NYI)D311990-01-01No204 Lbs6 ft3NoNoNo4Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$1,100,000$NHL Link
Jeremy LauzonPantheres (NYI)D241997-01-01No204 Lbs6 ft1NoNoNo1Pro & Farm800,000$0$0$No
Jonas JohanssonPantheres (NYI)G261995-01-01Yes220 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
Joseph CramarossaPantheres (NYI)C291992-01-01No188 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$No
Juho LammikkoPantheres (NYI)C251996-01-01No191 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
Karson KuhlmanPantheres (NYI)C261995-01-01No190 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Keaton MiddletonPantheres (NYI)D231998-01-01Yes240 Lbs6 ft6NoNoNo4Pro & Farm850,000$0$0$No850,000$850,000$850,000$
Keegan KolesarPantheres (NYI)RW241997-01-01Yes217 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Kevin RoyPantheres (NYI)LW281993-01-01Yes170 Lbs5 ft9NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$NHL Link
Kurtis GabrielPantheres (NYI)RW281993-01-01No200 Lbs6 ft4NoNoNo2Pro & Farm575,000$0$0$No575,000$
Kyle RauPantheres (NYI)C291992-01-01No176 Lbs5 ft8NoNoNo4Pro & Farm600,000$0$0$No600,000$600,000$600,000$NHL Link
Laurent DauphinPantheres (NYI)C261995-01-01No180 Lbs6 ft1NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$NHL Link
Matt BartkowskiPantheres (NYI)D331988-01-01No201 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$NoNHL Link
Matt Calvert (1 Way Contract)Pantheres (NYI)LW321989-01-01No186 Lbs5 ft11NoNoNo3Farm Only2,100,000$1,050,000$0$No2,100,000$2,100,000$NHL Link
Matt HunwickPantheres (NYI)D361985-01-01No194 Lbs5 ft11NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$NHL Link
Michael SgarbossaPantheres (NYI)C291992-01-01No182 Lbs6 ft0NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
Mikhail VorobyevPantheres (NYI)C241997-01-01Yes194 Lbs6 ft2NoNoNo1Pro & Farm1,100,000$0$0$No
Nelson NogierPantheres (NYI)D251996-01-01Yes191 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
Otto KoivulaPantheres (NYI)LW231998-01-01Yes219 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$No
Ron Hainsey (1 Way Contract)Pantheres (NYI)D401981-01-01No201 Lbs6 ft3NoNoNo1Farm Only3,500,000$1,750,000$0$NoNHL Link
Ross ColtonPantheres (NYI)C251996-01-01Yes191 Lbs6 ft0NoNoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$
Rourke ChartierPantheres (NYI)C251996-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm575,000$0$0$No
Samuel MontembeaultPantheres (NYI)G251996-01-01Yes199 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
Shane GersichPantheres (NYI)LW251996-01-01Yes180 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Spencer MartinPantheres (NYI)G261995-01-01Yes191 Lbs6 ft3NoNoNo2Pro & Farm675,000$0$0$No675,000$
Trevor MurphyPantheres (NYI)D261995-01-01Yes180 Lbs5 ft10NoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Vinni LettieriPantheres (NYI)C261995-01-01No185 Lbs5 ft11NoNoNo2Pro & Farm575,000$0$0$No575,000$NHL Link
Zac RinaldoPantheres (NYI)C311990-01-01No192 Lbs5 ft10NoNoNo2Pro & Farm600,000$0$0$No600,000$NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4727.26195 Lbs6 ft12.19867,553$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt CalvertEvan RodriguesKeegan Kolesar40122
2Dmytro TimashovRoss ColtonKurtis Gabriel30122
3Kevin RoyKarson KuhlmanAnthony Angello20122
4Danick MartelJuho LammikkoAnthony Greco10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brendan SmithJeremy Lauzon40122
2Ron Hainsey30122
3Erik BrannstromDakota Mermis20122
4Brendan SmithJeremy Lauzon10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt CalvertEvan RodriguesKeegan Kolesar60122
2Dmytro TimashovRoss ColtonKurtis Gabriel40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brendan SmithJeremy Lauzon60122
2Ron Hainsey40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt CalvertEvan Rodrigues60122
2Keegan KolesarRoss Colton40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brendan SmithJeremy Lauzon60122
2Ron Hainsey40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Calvert60122Brendan SmithJeremy Lauzon60122
2Evan Rodrigues40122Ron Hainsey40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt CalvertEvan Rodrigues60122
2Keegan KolesarRoss Colton40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brendan SmithJeremy Lauzon60122
2Ron Hainsey40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt CalvertEvan RodriguesKeegan KolesarBrendan SmithJeremy Lauzon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt CalvertEvan RodriguesKeegan KolesarBrendan SmithJeremy Lauzon
Extra Forwards
Normal PowerPlayPenalty Kill
Karson Kuhlman, Juho Lammikko, Anthony AngelloKarson Kuhlman, Juho LammikkoAnthony Angello
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Brannstrom, Dakota Mermis, Erik BrannstromDakota Mermis,
Penalty Shots
Matt Calvert, Evan Rodrigues, Keegan Kolesar, Ross Colton, Karson Kuhlman
Goalie
#1 : Jonas Johansson, #2 : Aaron Dell


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
13L6310000222193311000011111032000001118380.6672230520039103129281935789619831231817656140341441.18%281160.71%11033182156.73%961174155.20%683124454.90%176895017597441500795
2Armada31100010853110000004132010001044040.66781119003910312928785789619831238836336713538.46%14285.71%01033182156.73%961174155.20%683124454.90%176895017597441500795
3Chops44000000297222200000013310220000001641281.00029417000391031292812557896198312376223975291965.52%12283.33%11033182156.73%961174155.20%683124454.90%176895017597441500795
4Draveurs5500000031102133000000176112200000014410101.000314778003910312928158578961983123126493999342264.71%17570.59%11033182156.73%961174155.20%683124454.90%176895017597441500795
5Griffins403000011118-72010000179-22020000049-510.12511172800391031292812057896198312313357368815426.67%18761.11%01033182156.73%961174155.20%683124454.90%176895017597441500795
6Heat 211000005501010000024-21100000031220.5005611003910312928605789619831235626166322100.00%8275.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
7Jarrets Noirs2010001067-11010000013-21000001054120.500681400391031292860578961983123522124604375.00%13561.54%11033182156.73%961174155.20%683124454.90%176895017597441500795
8Monarchs22000000633110000002111100000042241.0006111700391031292858578961983123488103110330.00%5260.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
9Monster41200001711-4211000004402010000137-430.3757121900391031292811957896198312313255428614321.43%20480.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
10Mosquitos210010001165110000005141000100065141.00011193000391031292860578961983123529354010660.00%14471.43%01033182156.73%961174155.20%683124454.90%176895017597441500795
11National622000111517-2311000109903110000168-270.583152237003910312928213578961983123206553212826830.77%16662.50%01033182156.73%961174155.20%683124454.90%176895017597441500795
12Phantoms 6310010115132310001017703210000086280.667152439003910312928182578961983123184525611722731.82%28678.57%01033182156.73%961174155.20%683124454.90%176895017597441500795
13Rambo21001000642110000002111000100043141.0006111700391031292868578961983123511112578337.50%6266.67%01033182156.73%961174155.20%683124454.90%176895017597441500795
14Rapido612001111718-1301000111011-13110010077060.5001725420039103129281875789619831231695132120301446.67%16475.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
15Red Bull2010000147-31010000024-21000000123-110.2504610003910312928595789619831235522144211218.18%7442.86%01033182156.73%961174155.20%683124454.90%176895017597441500795
16Rocket2010001056-11010000024-21000001032120.500581310391031292863578961983123391222445120.00%11372.73%01033182156.73%961174155.20%683124454.90%176895017597441500795
17Rockets21000010945100000102111100000073441.00091524003910312928685789619831236824134310770.00%4175.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
18Sea Dogs412010001213-12010100067-12110000066040.50012183010391031292810357896198312314751329417847.06%16943.75%01033182156.73%961174155.20%683124454.90%176895017597441500795
19Silver Knights22000000972110000005411100000043141.00091726003910312928715789619831237528162612650.00%8450.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
20Spartans42100010201372100001012752110000086260.750203353003910312928131578961983123118364296271659.26%16662.50%01033182156.73%961174155.20%683124454.90%176895017597441500795
21Thunderbirds41200010911-2210000107432020000027-540.5009122100391031292811857896198312311439248618422.22%12283.33%11033182156.73%961174155.20%683124454.90%176895017597441500795
22Trashers21000010826100000102111100000061541.0008816003910312928575789619831235723135611436.36%4175.00%01033182156.73%961174155.20%683124454.90%176895017597441500795
23Wolf Pack630010021916332000001972310010011091100.8331926450039103129282105789619831231937436157291241.38%18572.22%01033182156.73%961174155.20%683124454.90%176895017597441500795
Total82362104291028422262411810011651411103141181103135143112311100.67128442771120391031292825615789619831232420837674181539117344.25%3119768.81%51033182156.73%961174155.20%683124454.90%176895017597441500795
_Since Last GM Reset82362104291028422262411810011651411103141181103135143112311100.67128442771120391031292825615789619831232420837674181539117344.25%3119768.81%51033182156.73%961174155.20%683124454.90%176895017597441500795
_Vs Conference3512130015411399141766000325849918670012255505390.557113170283103910312928106857896198312310053722877401596742.14%1303573.08%21033182156.73%961174155.20%683124454.90%176895017597441500795
_Vs Division14760013246361074300011201557330012126215230.8214668114103910312928425578961983123385129121311652436.92%521571.15%11033182156.73%961174155.20%683124454.90%176895017597441500795

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82110SOL128442771125612420837674181520
All Games
GPWLOTWOTL SOWSOLGFGA
82362142910284222
Home Games
GPWLOTWOTL SOWSOLGFGA
4118101165141110
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4118113135143112
Last 10 Games
WLOTWOTL SOWSOL
720001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
39117344.25%3119768.81%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5789619831233910312928
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1033182156.73%961174155.20%683124454.90%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
176895017597441500795


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
2 - 2021-10-1011Pantheres73L5WBoxScore
3 - 2021-10-11233L7Pantheres6LXXBoxScore
4 - 2021-10-1236Phantoms 3Pantheres2LXBoxScore
5 - 2021-10-1350Heat 4Pantheres2LBoxScore
7 - 2021-10-1562Pantheres6Wolf Pack5WXBoxScore
8 - 2021-10-1672Pantheres2Phantoms 4LBoxScore
9 - 2021-10-1784National2Pantheres3WXXBoxScore
10 - 2021-10-1892Pantheres1Rapido2LXBoxScore
12 - 2021-10-20108Wolf Pack1Pantheres2WBoxScore
14 - 2021-10-22122Draveurs3Pantheres8WBoxScore
15 - 2021-10-23135Pantheres1Thunderbirds5LBoxScore
16 - 2021-10-24146Pantheres4Sea Dogs3WBoxScore
17 - 2021-10-25155Rapido2Pantheres1LBoxScore
18 - 2021-10-26161Pantheres1National3LBoxScore
19 - 2021-10-27173Pantheres2National3LXXBoxScore
21 - 2021-10-29186National2Pantheres3WBoxScore
23 - 2021-10-31203Jarrets Noirs3Pantheres1LBoxScore
24 - 2021-11-01215Pantheres5Jarrets Noirs4WXXBoxScore
25 - 2021-11-02222National5Pantheres3LBoxScore
26 - 2021-11-03234Pantheres2Griffins6LBoxScore
27 - 2021-11-04249Pantheres2Griffins3LBoxScore
29 - 2021-11-06260Monster2Pantheres3WBoxScore
31 - 2021-11-08275Rockets1Pantheres2WXXBoxScore
32 - 2021-11-09288Pantheres6Trashers1WBoxScore
33 - 2021-11-10296Pantheres13L2LXXBoxScore
34 - 2021-11-11306Rambo1Pantheres2WBoxScore
36 - 2021-11-13317Pantheres2Sea Dogs3LBoxScore
37 - 2021-11-14328Draveurs2Pantheres6WBoxScore
39 - 2021-11-16346Sea Dogs2Pantheres3WXBoxScore
41 - 2021-11-18360Pantheres3Heat 1WBoxScore
42 - 2021-11-19370Rapido4Pantheres5WXXBoxScore
43 - 2021-11-20378Pantheres3National2WBoxScore
45 - 2021-11-22394Pantheres3Armada2WXXBoxScore
46 - 2021-11-234023L3Pantheres2LBoxScore
48 - 2021-11-25414Pantheres4Rambo3WXBoxScore
49 - 2021-11-26426Rapido5Pantheres4LXXBoxScore
51 - 2021-11-28441Griffins3Pantheres2LBoxScore
52 - 2021-11-29452Pantheres33L1WBoxScore
54 - 2021-12-01466Pantheres1Armada2LBoxScore
55 - 2021-12-02474Pantheres2Red Bull3LXXBoxScore
56 - 2021-12-03482Trashers1Pantheres2WXXBoxScore
57 - 2021-12-04500Wolf Pack3Pantheres5WBoxScore
59 - 2021-12-06514Pantheres1Rapido3LBoxScore
60 - 2021-12-07524Red Bull4Pantheres2LBoxScore
62 - 2021-12-09539Pantheres4Silver Knights3WBoxScore
63 - 2021-12-10547Griffins6Pantheres5LXXBoxScore
65 - 2021-12-12563Draveurs1Pantheres3WBoxScore
66 - 2021-12-13570Pantheres5Rapido2WBoxScore
68 - 2021-12-15587Silver Knights4Pantheres5WBoxScore
69 - 2021-12-16598Pantheres1Thunderbirds2LBoxScore
70 - 2021-12-17608Sea Dogs5Pantheres3LBoxScore
72 - 2021-12-19623Pantheres6Mosquitos5WXBoxScore
73 - 2021-12-20636Phantoms 2Pantheres1LXXBoxScore
74 - 2021-12-21650Mosquitos1Pantheres5WBoxScore
76 - 2021-12-23666Pantheres2Wolf Pack3LXXBoxScore
77 - 2021-12-24675Spartans2Pantheres6WBoxScore
78 - 2021-12-25688Pantheres7Rockets3WBoxScore
79 - 2021-12-26698Chops1Pantheres5WBoxScore
81 - 2021-12-28712Pantheres7Chops2WBoxScore
82 - 2021-12-29718Pantheres3Phantoms 1WBoxScore
83 - 2021-12-30729Phantoms 2Pantheres4WBoxScore
85 - 2022-01-01747Spartans5Pantheres6WXXBoxScore
86 - 2022-01-02757Pantheres4Monarchs2WBoxScore
87 - 2022-01-03765Pantheres9Draveurs1WBoxScore
88 - 2022-01-04779Armada1Pantheres4WBoxScore
89 - 2022-01-05791Pantheres2Monster3LXXBoxScore
91 - 2022-01-07801Monster2Pantheres1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
92 - 2022-01-08817Pantheres3Rocket2WXXBoxScore
93 - 2022-01-09828Rocket4Pantheres2LBoxScore
95 - 2022-01-11841Chops2Pantheres8WBoxScore
97 - 2022-01-13855Pantheres9Chops2WBoxScore
98 - 2022-01-14867Thunderbirds2Pantheres4WBoxScore
99 - 2022-01-15871Pantheres7Spartans2WBoxScore
100 - 2022-01-16884Pantheres3Phantoms 1WBoxScore
102 - 2022-01-188963L1Pantheres3WBoxScore
103 - 2022-01-19914Pantheres1Monster4LBoxScore
104 - 2022-01-20918Pantheres5Draveurs3WBoxScore
106 - 2022-01-22933Monarchs1Pantheres2WBoxScore
107 - 2022-01-23946Thunderbirds2Pantheres3WXXBoxScore
110 - 2022-01-26960Pantheres1Spartans4LBoxScore
111 - 2022-01-27970Pantheres2Wolf Pack1WBoxScore
113 - 2022-01-29982Wolf Pack3Pantheres2LXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance63,27138,523
Attendance PCT77.16%93.96%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-40 2483 - 82.76% 92,597$3,796,495$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,441,648$ 3,432,500$ 3,432,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
30,110$ 3,429,211$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-3,703,898$ 0 30,110$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT