Your STHS is out of Date!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

Cleveland
GP: 82 | W: 44 | L: 31 | OTL: 7 | P: 95
GF: 294 | GA: 259 | PP%: 19.06% | PK%: 80.84%
GM : Dany Bourdeau | Morale : 50 | Team Overall : N/A
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Providence
43-33-6, 92pts
1
FINAL
5 Cleveland
44-31-7, 95pts
Team Stats
W2StreakOTL1
24-14-3Home Record26-11-4
19-19-3Away Record18-20-3
6-3-1Last 10 Games6-2-2
3.22Goals Per Game3.59
3.09Goals Against Per Game3.16
15.61%Power Play Percentage19.06%
83.09%Penalty Kill Percentage80.84%
Providence
43-33-6, 92pts
3
FINAL
2 Cleveland
44-31-7, 95pts
Team Stats
W2StreakOTL1
24-14-3Home Record26-11-4
19-19-3Away Record18-20-3
6-3-1Last 10 Games6-2-2
3.22Goals Per Game3.59
3.09Goals Against Per Game3.16
15.61%Power Play Percentage19.06%
83.09%Penalty Kill Percentage80.84%
Team Leaders
Goals
Dillon Dube
37
Assists
Nicolas Hague
52
Points
Mason Appleton
80
Plus/Minus
Robert Bortuzzo
18
Wins
Adin Hill
26
Save Percentage
Adin Hill
0.909

Team Stats
Goals For
294
3.59 GFG
Shots For
2796
34.10 Avg
Power Play Percentage
19.1%
69 GF
Offensive Zone Start
42.0%
Goals Against
259
3.16 GAA
Shots Against
2628
32.05 Avg
Penalty Kill Percentage
80.8%%
59 GA
Defensive Zone Start
40.1%
Team Info

General ManagerDany Bourdeau
CoachSylvain Lefebvre
DivisionNord
ConferenceConference est
Captain
Assistant #1
Assistant #2Carl Soderberg


Arena Info

Capacity3,000
Attendance2,316
Season Tickets300


Roster Info

Pro Team22
Farm Team20
Contract Limit42 / 50
Prospects35


Team History

This Season44-31-7 (95PTS)
History88-62-10 (0.550%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Dillon Dube (R)XX100.00773290858484907673737966863938705000222800,000$
2Mason AppletonX100.00802989818683947772757767774745715000251600,000$
3Byron FroeseXX100.00643289687771896881666966746455435000302750,000$
4Ryan DzingelXX100.007835948382869171696873588062516450002931,100,000$
5Rem Pitlick (R)XXX100.00722589838281847680747472914545715000242700,000$
6Ilya ZubovXX100.006531946171698669736669657884811850003521,300,000$
7Dave BollandX100.00601891607872597174717173857882245000353980,000$
8Vinnie HinostrozaXX100.00803195847683897375677563875250615000273975,000$
9Dustin BrownXX100.008223927182809972707372688483993050003631,100,000$
10Carl Soderberg (A)XXX100.006234886084699071716870687681712850003521,110,000$
11Erik HaulaXX100.00723694757377847081687064715446485000303975,000$
12Denis GurianovXX100.00843696939485947877747863854744805000241800,000$
13Luke KuninXX100.00854875878187857482727468834241745000232900,000$
14Robert BortuzzoX100.00753184699377824950534890727270255000323975,000$
15Cody GoloubefX100.00743263688076795050524887786260435000312600,000$
16Kevan MillerX100.00613586568978814950465090667058215000332900,000$
17Matthew BenningX100.00743563788186895853595386755347575000272600,000$
18Nick HoldenX100.00693393669380884950464587737669195000342901,000$
19Nicolas Hague (R)X100.00873577789582875650585490753838745000223800,000$
Scratches
TEAM AVERAGE100.0074328674837986666765667379605748500
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary Average
1Adin Hill (R)100.0069878097829393969493894746715000251600,000$
2Chad Johnson100.0062908291789391939588838584165000352525,000$
Scratches
1Dustin Tokarski100.0066877783759496919688806059405000312701,000$
TEAM AVERAGE100.006688809078939393959084646342500
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Sylvain Lefebvre79827281999960CAN522500,000$


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
1Mason AppletonCleveland (CLB)RW7935458025601481022918622412.03%12164120.77919285928911241116044.27%19200020.9701000872
2Rem PitlickCleveland (CLB)C/LW/RW793143747320631642879719410.80%10163820.74713205630301141327252.41%176300010.9000000633
3Dillon DubeCleveland (CLB)LW/RW7637337044551111032876823012.89%11158020.791011217227900021547147.34%20700100.8902010481
4Dave BollandCleveland (CLB)C7115445926019106163431179.20%15126917.88414183220100001072151.10%173000000.9300000222
5Vinnie HinostrozaCleveland (CLB)LW/RW672928571122094672186415513.30%4115817.2961016422240001184142.17%8300010.9800000444
6Nicolas HagueCleveland (CLB)D74552579106101397411742914.27%105170623.0621820592780001197100.00%000000.6700110034
7Dustin BrownCleveland (CLB)LW/RW6415385344159280165541309.09%11135121.1219103821410142321251.57%38200000.7802000135
8Robert BortuzzoCleveland (CLB)D77153550183604973123395812.20%134184723.998917602800003237200.00%000000.5400000213
9Matthew BenningCleveland (CLB)D76113950-1931512864142401027.75%104171922.637916892780000191310.00%000000.5800012314
10Ryan DzingelCleveland (CLB)LW/RW821632489521011290215491467.44%4117514.33279201280001262248.74%11900000.8200002461
11Nick HoldenCleveland (CLB)D8219173602205453107294517.76%111154918.89639431800111165320.00%000000.4600000125
12Erik HaulaCleveland (CLB)C/LW77132033461155079103287012.62%1278310.171121246000093249.93%75500000.8400102202
13Carl SoderbergCleveland (CLB)C/LW/RW82141529-12353871135309910.37%12102612.521238380002830255.95%93300100.5700001104
14Cody GoloubefCleveland (CLB)D797202769210121527728519.09%102150219.02224291850001152010.00%000000.3600001011
15Byron FroeseCleveland (CLB)C/RW82111526940365795268011.58%96978.51000000001471053.58%48900000.7500000102
16Luke KuninCleveland (CLB)C/RW2561723113547617019398.57%249819.9336913810000270052.80%57200000.9200100040
17Kevan MillerCleveland (CLB)D6161420112810364057102910.53%63102216.77101962000097110.00%000000.3900101011
18Drew StaffordColumbusLW/RW7951318114019277620606.58%26147.7800012000041047.83%4600000.5900000010
19Ilya ZubovCleveland (CLB)LW/RW7661218-7160404811540835.22%686611.400002440000421043.70%11900000.4211000000
20Denis GurianovCleveland (CLB)LW/RW10448517511204411319.09%121121.161019290001300054.76%8400000.7601100010
21Cody McLeodColumbusLW/RW30314218035827121611.11%22137.1200032000020150.00%800000.3700000001
Team Total or Average142830353784010678795144214392914835205010.40%7322407516.86711332046563152235262074451951.70%748200240.7017539394845
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
1Adin HillCleveland (CLB)49261760.9092.89294917114215520130.50024918411
2Chad JohnsonCleveland (CLB)2413910.9042.95134220666860100.00%02233111
3Keith KinkaidColumbus28121030.8983.34156120878520010.80052640101
Team Total or Average1015136100.9053.025853211295309002479791623


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 Waiver Possible 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
Adin HillCleveland (CLB)G251996-05-11 05:55:17Yes204 Lbs6 ft6NoNoNoNo1Pro & Farm600,000$0$0$NoLink
Byron FroeseCleveland (CLB)C/RW301991-03-12No203 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Link
Carl SoderbergCleveland (CLB)C/LW/RW351985-10-12No226 Lbs6 ft3NoNoNoNo2Pro & Farm1,110,000$0$0$No1,110,000$Link
Chad JohnsonCleveland (CLB)G351986-06-10 10:55:46No218 Lbs6 ft3NoNoNoNo2Pro & Farm525,000$0$0$No525,000$Link
Cody GoloubefCleveland (CLB)D311989-11-30No203 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Link
Dave BollandCleveland (CLB)C351986-06-05No190 Lbs6 ft0NoNoNoNo3Pro & Farm980,000$0$0$No980,000$980,000$Link
Denis GurianovCleveland (CLB)LW/RW241997-06-07No201 Lbs6 ft2NoNoNoNo1Pro & Farm800,000$0$0$NoLink
Dillon DubeCleveland (CLB)LW/RW221998-07-20Yes190 Lbs5 ft11NoNoNoNo2Pro & Farm800,000$0$0$No800,000$Link
Dustin BrownCleveland (CLB)LW/RW361984-11-04No206 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Link
Dustin TokarskiCleveland (CLB)G311989-09-16 05:46:52No203 Lbs5 ft11NoNoNoNo2Pro & Farm701,000$0$0$No701,000$Link
Erik HaulaCleveland (CLB)C/LW301991-03-23No199 Lbs5 ft11NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Link
Ilya ZubovCleveland (CLB)LW/RW351986-01-11No199 Lbs6 ft0NoNoNoNo2Pro & Farm1,300,000$0$0$No1,300,000$
Kevan MillerCleveland (CLB)D331987-11-15No214 Lbs6 ft2NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Luke KuninCleveland (CLB)C/RW231997-12-04No201 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$0$0$No900,000$Link
Mason AppletonCleveland (CLB)RW251996-01-15No195 Lbs6 ft2NoNoNoNo1Pro & Farm600,000$0$0$NoLink
Matthew BenningCleveland (CLB)D271994-05-25No208 Lbs6 ft1NoNoNoNo2Pro & Farm600,000$0$0$No600,000$Link
Nick HoldenCleveland (CLB)D341987-05-15No217 Lbs6 ft4NoNoNoNo2Pro & Farm901,000$0$0$No901,000$Link
Nicolas HagueCleveland (CLB)D221998-12-05 03:02:41Yes230 Lbs6 ft6NoNoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Link
Rem PitlickCleveland (CLB)C/LW/RW241997-04-02 04:42:28Yes196 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Link
Robert BortuzzoCleveland (CLB)D321989-03-18No217 Lbs6 ft4NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Link
Ryan DzingelCleveland (CLB)LW/RW291992-03-09No196 Lbs6 ft0NoNoNoNo3Pro & Farm1,100,000$0$0$No1,100,000$1,100,000$Link
Vinnie HinostrozaCleveland (CLB)LW/RW271994-04-03No177 Lbs5 ft9NoNoNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2229.32204 Lbs6 ft12.18849,636$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dillon DubeRem PitlickMason Appleton33014
2Denis GurianovLuke KuninVinnie Hinostroza32014
3Dustin BrownDave BollandRyan Dzingel25122
4Erik HaulaByron FroeseCarl Soderberg10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueRobert Bortuzzo40113
2Matthew BenningCody Goloubef30122
3Nick HoldenKevan Miller20122
4Nicolas HagueRobert Bortuzzo10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dillon DubeRem PitlickMason Appleton60104
2Vinnie HinostrozaLuke KuninDenis Gurianov40104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueRobert Bortuzzo60014
2Matthew BenningCody Goloubef40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dave BollandCarl Soderberg60230
2Rem PitlickByron Froese40230
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueRobert Bortuzzo60140
2Matthew BenningCody Goloubef40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Dave Bolland60050Nicolas HagueRobert Bortuzzo60050
2Rem Pitlick40050Matthew BenningCody Goloubef40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Rem PitlickMason Appleton60113
2Dillon DubeDenis Gurianov40113
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nicolas HagueRobert Bortuzzo60122
2Matthew BenningCody Goloubef40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dillon DubeRem PitlickMason AppletonNicolas HagueMatthew Benning
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rem PitlickDave BollandLuke KuninNicolas HagueRobert Bortuzzo
Extra Forwards
Normal PowerPlayPenalty Kill
Denis Gurianov, Carl Soderberg, Erik HaulaDenis Gurianov, Carl SoderbergErik Haula
Extra Defensemen
Normal PowerPlayPenalty Kill
Nick Holden, Kevan Miller, Matthew BenningNick HoldenKevan Miller, Matthew Benning
Penalty Shots
Rem Pitlick, Vinnie Hinostroza, Dillon Dube, Denis Gurianov, Dave Bolland
Goalie
#1 : Adin Hill, #2 : Chad Johnson


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
1Abbotsford211000009901010000026-41100000073420.50091625001019198584942869955387614153818211.11%4175.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
2Bakersfield21100000770110000006331010000014-320.5007142100101919856394286995538702021319333.33%4175.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
3Charlotte4310000015114220000009542110000066060.75015294400101919851359428699553814238436620735.00%19573.68%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
4Grand Rapids632010001717031200000611-532001000116580.667173249001019198520194286995538184556311626519.23%26484.62%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
5Hartford42200000201372110000011742110000096340.5002038581010191985139942869955381283730718225.00%13192.31%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
6Hershey4210010011110210001005502110000066050.6251117280010191985130942869955381413828711417.14%14285.71%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
7Iowa2010000136-31000000123-11010000013-210.25035800101919856594286995538441319261317.69%7271.43%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
8Laval6320010021210311001001011-1321000001110170.58321416200101919851929428699553819060558934926.47%21576.19%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
9Lehigh Valley42200000151232200000010462020000058-340.50015274200101919851409428699553814635396726726.92%15286.67%11585314250.45%1547300051.57%743134055.45%2013137918786191064542
10Manitoba3110100013112211000009811000100043140.6671323360010191985118942869955388623184913323.08%9188.89%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
11Milwaukee2020000047-31010000013-21010000034-100.00048121010191985589428699553851212041900.00%9188.89%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
12Ontario210000101073110000004221000001065141.00010162600101919858594286995538632514484125.00%7185.71%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
13Providence614001001321-83110010088030300000513-830.25013233610101919851699428699553821054778625416.00%32584.38%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
14Rochester622002001923-432100000118330100200815-760.500193251001019198519594286995538183516510124520.83%24866.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
15Rockford21100000550110000003121010000024-220.50057120010191985609428699553846172533700.00%90100.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
16San Diego321000001091110000004312110000066040.6671016260010191985106942869955381012628531417.14%13376.92%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
17San Jose22000000624110000003121100000031241.00061016001019198573942869955386310204110220.00%20100.00%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
18Springfield32100000136722000000122101010000014-340.66713223500101919851139428699553810429365112433.33%17382.35%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
19Texas2010000147-31010000002-21000000145-110.25046100010191985869428699553877211427500.00%7271.43%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
20Toronto642000002017333000000127531200000810-280.66720375700101919851909428699553817748481232129.52%24866.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
21Tucson21100000111011010000058-31100000062420.50011193000101919857194286995538551763310330.00%3166.67%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
22Utica5410000028151322000000167932100000128480.80028528000101919851699428699553816055687714428.57%19194.74%01585314250.45%1547300051.57%743134055.45%2013137918786191064542
23Wilkes-Barre/Scranton42101000201282100100014682110000066060.75020365600101919851549428699553813127306126311.54%10280.00%11585314250.45%1547300051.57%743134055.45%2013137918786191064542
Total8240310351229425935412511013011631214241152002211131138-7950.5792945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Since Last GM Reset8240310351229425935412511013011631214241152002211131138-7950.5792945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Vs Conference552820025001991732627176013001127933281114012008794-7650.591199364563201019198518149428699553817924985469282384920.59%2174380.18%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
_Vs Division34131201400105110-5178500200565061757012004960-11320.471105194299101019198510829428699553810863063515811503221.33%1463576.03%01585314250.45%1547300051.57%743134055.45%2013137918786191064542

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8295OTL129452682027962628734782139930
All Games
GPWLOTWOTL SOWSOLGFGA
8240313512294259
Home Games
GPWLOTWOTL SOWSOLGFGA
4125111301163121
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115202211131138
Last 10 Games
WLOTWOTL SOWSOL
620200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3626919.06%3085980.84%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9428699553810191985
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1585314250.45%1547300051.57%743134055.45%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2013137918786191064542


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
1 - 2022-11-255Providence4Cleveland1BLBoxScore
4 - 2022-11-2621Cleveland1Providence3ALBoxScore
7 - 2022-11-2832Laval5Cleveland4BLBoxScore
9 - 2022-11-2942Cleveland5Laval4AWBoxScore
11 - 2022-11-3057Grand Rapids5Cleveland1BLBoxScore
13 - 2022-12-0163Cleveland1Utica3ALBoxScore
15 - 2022-12-0275Cleveland0Rochester5ALBoxScore
17 - 2022-12-0386Rochester3Cleveland2BLBoxScore
19 - 2022-12-04101Manitoba2Cleveland4BWBoxScore
21 - 2022-12-05111Cleveland2San Diego1AWBoxScore
22 - 2022-12-05115Cleveland3Toronto4ALBoxScore
25 - 2022-12-07132Rochester2Cleveland4BWBoxScore
27 - 2022-12-08145Cleveland3Lehigh Valley5ALBoxScore
28 - 2022-12-08153Cleveland2Wilkes-Barre/Scranton3ALBoxScore
30 - 2022-12-09162Cleveland5Grand Rapids2AWBoxScore
32 - 2022-12-10167Toronto4Cleveland6BWBoxScore
36 - 2022-12-12186Hartford3Cleveland9BWBoxScore
38 - 2022-12-13199Cleveland3San Jose1AWBoxScore
39 - 2022-12-14211Hartford4Cleveland2BLBoxScore
42 - 2022-12-15227Cleveland5Utica3AWBoxScore
44 - 2022-12-16234Cleveland6Ontario5AWXXBoxScore
45 - 2022-12-17239Wilkes-Barre/Scranton3Cleveland10BWBoxScore
48 - 2022-12-18254Cleveland4San Diego5ALBoxScore
49 - 2022-12-19262Rochester3Cleveland5BWBoxScore
53 - 2022-12-21279Cleveland3Rochester4ALXBoxScore
54 - 2022-12-21287Manitoba6Cleveland5BLBoxScore
57 - 2022-12-23306Hershey3Cleveland2BLXBoxScore
58 - 2022-12-23317Cleveland3Milwaukee4ALBoxScore
61 - 2022-12-25330Ontario2Cleveland4BWBoxScore
63 - 2022-12-26342Cleveland6Tucson2AWBoxScore
64 - 2022-12-26349Cleveland5Rochester6ALXBoxScore
66 - 2022-12-27357Hershey2Cleveland3BWBoxScore
70 - 2022-12-29375Cleveland4Wilkes-Barre/Scranton3AWBoxScore
71 - 2022-12-30383Iowa3Cleveland2BLXXBoxScore
74 - 2022-12-31393Cleveland4Laval2AWBoxScore
76 - 2023-01-01405Toronto1Cleveland3BWBoxScore
80 - 2023-01-03426Charlotte3Cleveland5BWBoxScore
82 - 2023-01-04435Cleveland2Lehigh Valley3ALBoxScore
84 - 2023-01-05448Cleveland3Grand Rapids2AWBoxScore
86 - 2023-01-06454San Jose1Cleveland3BWBoxScore
88 - 2023-01-07466Cleveland2Rockford4ALBoxScore
90 - 2023-01-08478Utica3Cleveland5BWBoxScore
93 - 2023-01-10491Cleveland1Toronto3ALBoxScore
95 - 2023-01-11500Texas2Cleveland0BLBoxScore
97 - 2023-01-12510Cleveland2Laval4ALBoxScore
98 - 2023-01-12522Cleveland4Manitoba3AWXBoxScore
100 - 2023-01-13529Utica4Cleveland11BWBoxScore
103 - 2023-01-15548Tucson8Cleveland5BLBoxScore
106 - 2023-01-16560Cleveland2Providence5ALBoxScore
109 - 2023-01-18574Grand Rapids4Cleveland2BLBoxScore
111 - 2023-01-19588Cleveland6Utica2AWBoxScore
114 - 2023-01-20596Laval3Cleveland4BWBoxScore
118 - 2023-01-22615Charlotte2Cleveland4BWBoxScore
123 - 2023-01-25638Bakersfield3Cleveland6BWBoxScore
125 - 2023-01-26649Cleveland3Hershey1AWBoxScore
127 - 2023-01-27660Grand Rapids2Cleveland3BWBoxScore
128 - 2023-01-27669Cleveland3Grand Rapids2AWXBoxScore
132 - 2023-01-29687Wilkes-Barre/Scranton3Cleveland4BWXBoxScore
134 - 2023-01-30699Cleveland3Hershey5ALBoxScore
137 - 2023-02-01710Milwaukee3Cleveland1BLBoxScore
138 - 2023-02-01718Cleveland5Charlotte4AWBoxScore
141 - 2023-02-03733Cleveland7Abbotsford3AWBoxScore
142 - 2023-02-03737Abbotsford6Cleveland2BLBoxScore
146 - 2023-02-05758Springfield1Cleveland6BWBoxScore
147 - 2023-02-06766Cleveland1Springfield4ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
150 - 2023-02-07779Cleveland4Texas5ALXXBoxScore
151 - 2023-02-08786San Diego3Cleveland4BWBoxScore
156 - 2023-02-10805Rockford1Cleveland3BWBoxScore
157 - 2023-02-11813Cleveland3Hartford5ALBoxScore
160 - 2023-02-12830Springfield1Cleveland6BWBoxScore
162 - 2023-02-13839Cleveland1Bakersfield4ALBoxScore
164 - 2023-02-14849Cleveland2Providence5ALBoxScore
165 - 2023-02-15858Lehigh Valley2Cleveland6BWBoxScore
167 - 2023-02-16868Cleveland1Iowa3ALBoxScore
169 - 2023-02-17875Cleveland4Toronto3AWBoxScore
171 - 2023-02-18885Cleveland1Charlotte2ALBoxScore
172 - 2023-02-18887Lehigh Valley2Cleveland4BWBoxScore
175 - 2023-02-20900Cleveland6Hartford1AWBoxScore
177 - 2023-02-21911Toronto2Cleveland3BWBoxScore
183 - 2023-02-24933Laval3Cleveland2BLXBoxScore
189 - 2023-02-27957Providence1Cleveland5BWBoxScore
196 - 2023-03-02980Providence3Cleveland2BLXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5030
Attendance63,49031,462
Attendance PCT77.43%76.74%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2316 - 77.20% 135,605$5,559,785$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,278,536$ 1,869,200$ 1,869,200$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,440$ 1,778,508$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,966$ 0$




Cleveland 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
1Mason Appleton1587090160411229620458212.03%24328220.77183856118224812044.2740.9702
2Rem Pitlick1586286148146412632857410.80%20327620.74142640112022814452.4120.9000
3Dillon Dube152746614089022220657412.89%22316020.79202242144000414247.3400.8904
4Dave Bolland1423088118412382123269.20%30253917.88828366400004251.1000.9300
5Vinnie Hinostroza1345856114224418813443613.30%8231617.291220328400028242.1720.9800

Cleveland Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Adin Hill985234120.9092.89589934228431040260.5004
2Chad Johnson48261820.9042.9526854013213720200.00%0
3Keith Kinkaid56242060.8983.3431224017417040020.80010

Cleveland 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
Regular Season
208240310351229425935412511013011631214241152002211131138-7952945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
208240310351229425935412511013011631214241152002211131138-7952945268203010191985279694286995538262873478213993626919.06%3085980.84%21585314250.45%1547300051.57%743134055.45%2013137918786191064542
Total Regular Season164806206102458851870825022026023262428482304004422262276-14190588105216406020218219610559218841738191076525614681564279872413819.06%61611880.84%43170628450.45%3094600051.57%1486268055.45%402727583756123821291084
Playoff
Total Playoff00000000000000.00%0.00%0.00%0.00%0.00%000000

Cleveland 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

Cleveland Goalies Stat Leaders (Play-Off)

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