Your STHS is out of Date! Please update your STHS version!
Login

Toronto Marlies
GP: 5 | W: 1 | L: 4
GF: 14 | GA: 18 | PP%: 42.86% | PK%: 55.56%
GM : Dale Lautner | Morale : 26 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Coachella Valley Firebirds
16-6-0, 32pts
5
FINAL
1 Toronto Marlies
1-4-0, 2pts
Team Stats
W1StreakL2
12-0-0Home Record1-1-0
4-6-0Home Record0-3-0
6-4-0Last 10 Games1-4-0
3.59Goals Per Game2.80
2.73Goals Against Per Game3.60
32.43%Power Play Percentage42.86%
77.78%Penalty Kill Percentage55.56%
Toronto Marlies
1-4-0, 2pts
1
FINAL
3 Coachella Valley Firebirds
16-6-0, 32pts
Team Stats
L2StreakW1
1-1-0Home Record12-0-0
0-3-0Home Record4-6-0
1-4-0Last 10 Games6-4-0
2.80Goals Per Game3.59
3.60Goals Against Per Game2.73
42.86%Power Play Percentage32.43%
55.56%Penalty Kill Percentage77.78%
Team Leaders
Taylor RaddyshGoals
Taylor Raddysh
3
Taylor RaddyshAssists
Taylor Raddysh
4
Taylor RaddyshPoints
Taylor Raddysh
7
Brad HuntPlus/Minus
Brad Hunt
5

Team Stats
Goals For
14
2.80 GFG
Shots For
126
25.20 Avg
Power Play Percentage
42.9%
3 GF
Offensive Zone Start
32.3%
Goals Against
18
3.60 GAA
Shots Against
185
37.00 Avg
Penalty Kill Percentage
55.6%%
4 GA
Defensive Zone Start
43.2%
Team Info

General ManagerDale Lautner
DivisionNorth Division
ConferenceWestern Conference
CaptainAlex Formenton
Assistant #1Ryan Murray
Assistant #2Ridly Greig


Arena Info

Capacity3,000
Attendance0
Season Tickets1,650


Roster Info

Pro Team35
Farm Team20
Contract Limit55 / 65
Prospects28


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
1Taylor Raddysh0XX100.00764791768385778154757670785750077740261775,000$
2Mason Appleton0XX100.006643787481867775437266717269590777202821,150,000$
3Alex Formenton (C)0X100.00666775886792957355556964555567076710241775,000$
4Austin Czarnik0X100.00604375746578736765626162677363077660311775,000$
5Ridly Greig (R) (A)0XX100.00654469717478606758666263675150077650214863,333$
6Ben Jones (R)0X100.00655262716266656661646067665250078640252775,000$
7Anders Bjork0XX100.00624377686970706341625762635953078630274775,000$
8Matej Blumel (R)0X100.00624071686462626442626061645150077610242925,000$
9Caeden Bankier (R)0X100.00636860556158706258655962504560024600216867,500$
10Jamieson Rees (R)0X100.00565358705862626359635654635050078600231839,167$
11Danila Klimovich (R)0X100.00674664686757566241565862635050075600213886,667$
12Ryder Korczak (R)0X100.00465159646153555461546863594557024590214859,167$
13Ozzy Wiesblatt (R)0X100.00614066686260605941565560615050024590224835,333$
14Ryan Suzuki (R)0X100.00574568686261606157595654615050024590232863,333$
15Jordan Oesterle0X100.006454827475858472406863717082720777303241,250,000$
16Brad Hunt0X100.006347857569828573406865697184740767303541,090,000$
17Jarred Tinordi0X100.00737262668581806640626071648070079710324775,000$
18Ryan Murray (A)0X100.00584377718283766740636066668474078700302775,000$
19Cale Fleury0X100.00674771717978676640625967656154077680254800,000$
20Joe Hicketts0X100.00544862725769686740655868665550078650284775,000$
21Matt Tennyson0X100.00614661646472726140605167596959023640344775,000$
22Alec Regula0X100.00665158676961606340615567625050024630231866,667$
23David Farrance (R)0X100.00594470696364636140615363615250024620251925,000$
24Matthew Robertson (R)0X100.00625366666862626340595464615050024620231797,500$
25Topi Niemela (R)0X100.00474969645665525361584069484545024580224856,667$
Scratches
1John Beecher (R)0X100.00675263626961605951575359595050064580234925,000$
2Joachim Blichfeld (R)0XX100.00593575785466665450515351506048064570252933,333$
3Samuel Helenius (R)0X100.00355148535857575856616740474540020550216805,833$
4Tyler Tullio (R)0X100.00605558495961645152545550424540020530224823,333$
5Luca Del Bel Belluz (R)0X100.00417555605958495849554441424559020520206891,667$
TEAM AVERAGE100.0060506868676967644961586261575505563
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
1Pavel Francouz0100.00837675737881818282797969620787803412,000,000$
2Alex Stalock0100.0074797767767673757675758376078750361775,000$
Scratches
1Ilya Konovalov (R)0100.0075757579846771676670487172022720251842,500$
2Calle Clang (R)0100.0051646788596749554760616266022610224878,333$
3Philippe Desrosiers0100.0061595764595554535459575450022570282775,000$
TEAM AVERAGE100.006971707471696666656964686504469
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Taylor RaddyshToronto Marlies (TOR)LW/RW5347100782172214.29%311923.9403304000071057.89%1972001.1700000200
2Mason AppletonToronto Marlies (TOR)C/RW533610011112451912.50%212024.0321324000170051.49%13423001.0000000000
3Jordan OesterleToronto Marlies (TOR)D51344003996311.11%913727.571011400008000%006000.5800000010
4Brad HuntToronto Marlies (TOR)D51345753886012.50%412024.190000000000000%076000.6600010000
5Alex FormentonToronto Marlies (TOR)LW5123-300810177125.88%19619.360000300005000%162000.6200000000
6Ben JonesToronto Marlies (TOR)C5112-3757737733.33%19819.7100000000010065.38%2600000.4100001000
7Joe HickettsToronto Marlies (TOR)D5022-320511220%97515.060110500006000%010000.5300000000
8Matej BlumelToronto Marlies (TOR)LW5112-1409371314.29%47715.480000000000000%013000.5200000000
9Austin CzarnikToronto Marlies (TOR)C5112-4009797611.11%19218.5700003000020048.08%5210000.4300000001
10Ridly GreigToronto Marlies (TOR)C/LW511200091054520.00%08216.5100003000020036.59%4110000.4800000000
11Jamieson ReesToronto Marlies (TOR)C5011000863140%37815.6200000000000033.33%300000.2600000000
12Anders BjorkToronto Marlies (TOR)LW/RW51010404643325.00%110120.3900004000000033.33%613000.2000000000
13Cale FleuryToronto Marlies (TOR)D5011-3175271220%36913.880000100000000%004000.2900001000
14Alec RegulaToronto Marlies (TOR)D5000000000000%061.350000000001000%00000000000000
15Caeden BankierToronto Marlies (TOR)C5000000110000%061.3600000000000033.33%30200000000000
16Ryder KorczakToronto Marlies (TOR)C5000000000000%000.110000000000000%00000000000000
17Topi NiemelaToronto Marlies (TOR)D5000000000000%020.450000000000000%00000000000000
18Jarred TinordiToronto Marlies (TOR)D5000-51010654200%69519.090000200005000%01200000110000
19Danila KlimovichToronto Marlies (TOR)RW5000000010000%081.760000000000000%00000000000000
20Ryan MurrayToronto Marlies (TOR)D5000-4203710200%99418.860001200003000%02400000000000
21Ozzy WiesblattToronto Marlies (TOR)RW5000000000000%000.070000000000000%00000000000000
Team Total or Average105142337-15532595107126628811.11%56148614.163584420001521049.47%2853037000.5000122211
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
1Pavel FrancouzToronto Marlies (TOR)51400.9083.42298001718486010050000
Team Total or Average51400.9083.4229800171848601050000


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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alec RegulaToronto Marlies (TOR)D232000-08-06No207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm866,667$0$0$No---------------------------
Alex FormentonToronto Marlies (TOR)LW241999-09-13No195 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Alex StalockToronto Marlies (TOR)G361987-07-28No170 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Anders BjorkToronto Marlies (TOR)LW/RW271996-08-05No196 Lbs6 ft0NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------NHL Link
Austin CzarnikToronto Marlies (TOR)C311992-12-12No170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------
Ben JonesToronto Marlies (TOR)C251999-02-26Yes187 Lbs6 ft0NoNoN/ANoNo22024-01-11FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------
Brad HuntToronto Marlies (TOR)D351988-08-24No177 Lbs5 ft9NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm1,090,000$0$0$No1,090,000$1,090,000$1,090,000$------1,090,000$1,090,000$1,090,000$------NoNoNo------NHL Link
Caeden BankierToronto Marlies (TOR)C212003-01-26Yes190 Lbs6 ft2NoNoAssign ManuallyNoNo62024-01-20FalseFalsePro & Farm867,500$0$0$No867,500$867,500$867,500$867,500$867,500$----867,500$867,500$867,500$867,500$867,500$----NoNoNoNoNo----
Cale FleuryToronto Marlies (TOR)D251998-11-19No204 Lbs6 ft1NoNoN/ANoNo42024-01-11FalseFalsePro & Farm800,000$0$0$No800,000$800,000$800,000$------800,000$800,000$800,000$------NoNoNo------NHL Link
Calle ClangToronto Marlies (TOR)G222002-05-20Yes194 Lbs6 ft2NoNoProspectNoNo42024-01-20FalseFalsePro & Farm878,333$0$0$No878,333$878,333$878,333$------878,333$878,333$878,333$------NoNoNo------
Danila KlimovichToronto Marlies (TOR)RW212003-01-09Yes203 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
David FarranceToronto Marlies (TOR)D251999-06-23Yes192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------
Ilya KonovalovToronto Marlies (TOR)G251998-07-13Yes194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------Link
Jamieson ReesToronto Marlies (TOR)C232001-02-26Yes172 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm839,167$0$0$No---------------------------
Jarred TinordiToronto Marlies (TOR)D321992-02-20No229 Lbs6 ft6NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------NHL Link
Joachim BlichfeldToronto Marlies (TOR)LW/RW251998-07-17Yes180 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm933,333$0$0$No933,333$--------933,333$--------No--------Link
Joe HickettsToronto Marlies (TOR)D281996-05-04No181 Lbs5 ft8NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
John BeecherToronto Marlies (TOR)C232001-04-05Yes209 Lbs6 ft3NoNoN/ANoNo4FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------
Jordan OesterleToronto Marlies (TOR)D321992-06-25No187 Lbs6 ft0NoNoFree AgentNoNo42024-02-04FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------NHL Link
Luca Del Bel BelluzToronto Marlies (TOR)C202003-11-10Yes179 Lbs6 ft1NoNoProspectNoNo62024-01-20FalseFalsePro & Farm891,667$0$0$No891,667$891,667$891,667$891,667$891,667$----891,667$891,667$891,667$891,667$891,667$----NoNoNoNoNo----
Mason AppletonToronto Marlies (TOR)C/RW281996-01-15No197 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm1,150,000$0$0$No1,150,000$--------1,150,000$--------No--------NHL Link
Matej BlumelToronto Marlies (TOR)LW242000-05-31Yes198 Lbs6 ft0NoNoN/ANoNo22024-01-11FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------
Matt TennysonToronto Marlies (TOR)D341990-04-23No205 Lbs6 ft2NoNoFree AgentNoNo42024-01-28FalseFalsePro & Farm775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Matthew RobertsonToronto Marlies (TOR)D232001-03-09Yes201 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm797,500$0$0$No---------------------------
Ozzy WiesblattToronto Marlies (TOR)RW222002-03-09Yes183 Lbs5 ft10NoNoN/ANoNo42024-01-11FalseFalsePro & Farm835,333$0$0$No835,333$835,333$835,333$------835,333$835,333$835,333$------NoNoNo------
Pavel FrancouzToronto Marlies (TOR)G341990-06-03No179 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm2,000,000$0$0$No---------------------------NHL Link
Philippe DesrosiersToronto Marlies (TOR)G281995-08-16No201 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------
Ridly GreigToronto Marlies (TOR)C/LW212002-08-08Yes183 Lbs6 ft0NoNoN/ANoNo42024-01-11FalseFalsePro & Farm863,333$0$0$No863,333$863,333$863,333$------863,333$863,333$863,333$------NoNoNo------
Ryan MurrayToronto Marlies (TOR)D301993-09-27No206 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------750,000$--------No--------NHL Link
Ryan SuzukiToronto Marlies (TOR)C232001-05-28Yes176 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------
Ryder KorczakToronto Marlies (TOR)C212002-09-23Yes174 Lbs5 ft11NoNoProspectNoNo42024-01-20FalseFalsePro & Farm859,167$0$0$No859,167$859,167$859,167$------859,167$859,167$859,167$------NoNoNo------
Samuel HeleniusToronto Marlies (TOR)C212002-11-26Yes201 Lbs6 ft6NoNoProspectNoNo62024-01-20FalseFalsePro & Farm805,833$0$0$No805,833$805,833$805,833$805,833$805,833$----805,833$805,833$805,833$805,833$805,833$----NoNoNoNoNo----
Taylor RaddyshToronto Marlies (TOR)LW/RW261998-02-18No198 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm775,000$0$0$No---------------------------NHL Link
Topi NiemelaToronto Marlies (TOR)D222002-03-25Yes160 Lbs5 ft11NoNoProspectNoNo42024-01-20FalseFalsePro & Farm856,667$0$0$No856,667$856,667$856,667$------856,667$856,667$856,667$------NoNoNo------
Tyler TullioToronto Marlies (TOR)RW222002-04-05Yes165 Lbs5 ft10NoNoProspectNoNo42024-01-20FalseFalsePro & Farm823,333$0$0$No823,333$823,333$823,333$------823,333$823,333$823,333$------NoNoNo------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3525.77190 Lbs6 ft12.89894,295$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor RaddyshMason AppletonAnders Bjork40122
2Alex FormentonAustin CzarnikBen Jones30122
3Matej BlumelRidly GreigJamieson Rees20122
4Taylor RaddyshBen JonesMason Appleton10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brad HuntJordan Oesterle40122
2Jarred TinordiRyan Murray30122
3Cale FleuryJoe Hicketts20122
4Brad HuntJordan Oesterle10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor RaddyshMason AppletonAnders Bjork60122
2Alex FormentonAustin CzarnikRidly Greig40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe HickettsJordan Oesterle60122
2Jarred TinordiRyan Murray40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Taylor RaddyshMason Appleton60122
2Alex FormentonAustin Czarnik40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Joe HickettsJordan Oesterle60122
2Jarred TinordiRyan Murray40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Taylor Raddysh60122Joe HickettsJordan Oesterle60122
2Mason Appleton40122Jarred TinordiRyan Murray40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Taylor RaddyshMason Appleton60122
2Alex FormentonAustin Czarnik40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan MurrayJordan Oesterle60122
2Jarred TinordiJoe Hicketts40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Taylor RaddyshMason AppletonAnders BjorkJarred TinordiJordan Oesterle
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Taylor RaddyshMason AppletonAnders BjorkJarred TinordiJordan Oesterle
Extra Forwards
Normal PowerPlayPenalty Kill
Jamieson Rees, Taylor Raddysh, Ridly GreigJamieson Rees, Mason AppletonRidly Greig
Extra Defensemen
Normal PowerPlayPenalty Kill
Cale Fleury, Joe Hicketts, Jarred TinordiCale FleuryJoe Hicketts, Jarred Tinordi
Penalty Shots
Taylor Raddysh, Mason Appleton, Alex Formenton, Austin Czarnik, Ridly Greig
Goalie
#1 : Pavel Francouz, #2 : Alex Stalock
Custom OT Lines Forwards
Taylor Raddysh, Mason Appleton, Alex Formenton, Austin Czarnik, Ridly Greig, Ben Jones, Ben Jones, Anders Bjork, Matej Blumel, Danila Klimovich, Jamieson Rees
Custom OT Lines Defensemen
Brad Hunt, Jordan Oesterle, Jarred Tinordi, Ryan Murray, Cale Fleury


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
1Coachella Valley Firebirds514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
Total514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Since Last GM Reset514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Vs Conference514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953
_Vs Division514000001418-42110000087130300000611-520.20014233710167012635444701855653957342.86%9455.56%0459248.91%5512344.72%417058.57%9447105469953

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L214233712618556539510
All Games
GPWLOTWOTL SOWSOLGFGA
51400001418
Home Games
GPWLOTWOTL SOWSOLGFGA
211000087
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3030000611
Last 10 Games
WLOTWOTL SOWSOL
140000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
7342.86%9455.56%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
35444701670
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
459248.91%5512344.72%417058.57%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9447105469953


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
18Toronto Marlies2Coachella Valley Firebirds3LBoxScore
216Toronto Marlies3Coachella Valley Firebirds5LBoxScore
324Coachella Valley Firebirds2Toronto Marlies7WBoxScore
432Coachella Valley Firebirds5Toronto Marlies1LBoxScore
540Toronto Marlies1Coachella Valley Firebirds3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 3,130,033$ 3,115,866$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Toronto Marlies 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

Toronto Marlies Goalies Stat Leaders (Regular Season)

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

Toronto Marlies Career Team Stats

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

Toronto Marlies 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

Toronto Marlies Goalies Stat Leaders (Play-Off)

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