Ailes Rouges
GP: 82 | W: 28 | L: 46 | T: 7 | P: 64
GF: 234 | GA: 276 | PP%: 17.22% | PK%: 80.17%
GM : Jérémy Côté | Morale : 34 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Keith PrimeauX100.007156657179747372687878707339348920680232500,000$
2Stephane MorinX100.006455586671676774677667676255417651650253499,000$
3Martin Straka (R) (A)X100.005244697570696977707870636532369756650223520,000$
4Dean EvasonX100.00755568656971706662696874664664942650342425,000$
5Dan VinceletteX100.008175406576616369647467756340486055650272485,000$
6Chris SimonX100.007468456679687065587168766231358834640231495,000$
7John TuckerX100.005539786168727268606465746256673942640301255,000$
8Chris KontosX100.006751726773757461586071636972793154640312520,000$
9Ken McRaeX100.007269426974646666616863696035566862630262375,000$
10Scott PearsonX100.006749726876656566627065726232327549630253400,000$
11Joey KocurX100.009388305778666858566462776058524039630301360,000$
12Todd EwenX100.007567505880656862586461756047475322620283335,000$
13Randy MollerX100.008778486177788058566342744072733114670311275,000$
14Kerry HuffmanX100.005846726776757466637350814853586852670263650,000$
15David ShawX100.006756616177727360546252814867704151660301225,000$
16Tommy SjodinX100.005846716673666875687966726041434844640292580,000$
17Brad BombadirX100.006958606377676961576749794533349644630221250,000$
18Tommy AlbelinX100.006946886475676962606646784434424025630301300,000$
Scratches
1Dwayne NorrisX100.005748697469677067636967656529318149620243402,000$
2Rusty FitzgeraldX100.006050737072595966636960635632369624600221275,000$
3Tony TwistX100.009379426080666854556452715040366819590261225,000$
4Jason RuffX100.006563556476585963535765546238378120580241311,000$
5Steven RiceX100.006556706378555658675961646234339020580231450,000$
6Scott Scissons (R)X100.005348606875585862586659635625268820580231100,000$
7Ken Klee (A)X100.006548786478727464546061775527329027630231250,000$
8Bryan FogartyX100.005144767372646866606651734936377420620251350,000$
TEAM AVERAGE100.00685762667567686561686171584245663763
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Stephane Beauregard100.00727684818176818179787543486735730
2Darcy Wakaluk100.00787888858663787873827556585520730
Scratches
1Ron Tugnutt100.00818477747871858781787838426019730
2Jimmy Waite100.00727575747457687767727037377520650
TEAM AVERAGE100.0076788179806778817578754446642471
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Keenan73757664889083CAN43295,000$


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
1Martin StrakaAiles Rouges (DET)LW82273562-2380211282315315211.69%5144617.6491827733361123634251.97%12700000.8600000351
2Kerry HuffmanAiles Rouges (DET)D80104858-172206112210838739.26%115190823.8681624843330000336110.00%000000.6100000242
3Tommy SjodinAiles Rouges (DET)D8216355114809489101355615.84%77160419.579918582230000278210.00%000000.6400000333
4Tom FergusRed WingsC74212748-16395742001833913111.48%12149020.14815235028700032342250.06%165200000.6400000334
5Dan VinceletteAiles Rouges (DET)LW68173047-9815164811625112010.49%11120217.68714216227901121182345.76%11800000.7800001122
6Nelson EmersonRed WingsRW51172239-91201686139439612.23%6100119.635914402071015965050.00%27400010.7800000310
7Stephane MorinAiles Rouges (DET)C82142438-121528178144451199.72%7134016.352681513911222241051.37%153000000.5700010222
8Ken McRaeAiles Rouges (DET)RW82132336-138230150881234810910.57%12122614.964812232120112720042.57%10100000.5900312221
9Sean HillRed WingsD351420340140274565304321.54%4082423.569817411470110131010.00%000100.8200000320
10Joey KocurAiles Rouges (DET)RW8214193351731523649102297713.73%13114914.024812221760000301248.45%9700000.5700012231
11Keith PrimeauAiles Rouges (DET)C41112132-61953110211640879.48%790622.1157123016900051310048.80%120900000.7100001203
12David ShawAiles Rouges (DET)D8272128-251335169859823727.14%131186322.734711593271013325100.00%000000.3000001101
13Brad BombadirAiles Rouges (DET)D72619256780139623892515.79%61112015.560228340110130000.00%000000.4500000122
14Chris KontosAiles Rouges (DET)LW8071825-1120285913127875.34%5115214.41044141570002950045.05%18200000.4300000000
15Ken KleeAiles Rouges (DET)D60715221580743347174614.89%67108218.04426211280111148400.00%000000.4100000201
16Scott PearsonAiles Rouges (DET)LW7810818440265286125911.63%147609.7611251801111921145.24%8400000.4700000210
17Dwayne NorrisAiles Rouges (DET)RW7671118211517487328499.59%25497.231127170004401045.65%13800000.6600001102
18Chris SimonAiles Rouges (DET)LW49106162320505075206013.33%460612.371016430002561146.61%25100000.5300000013
19Randy MollerAiles Rouges (DET)D5141014-716420183383992010.26%58114922.54235282050000184100.00%000000.2400112100
20Tommy AlbelinAiles Rouges (DET)D45113143220493816496.25%4368815.30000213000066000.00%000000.4100000001
21Rusty FitzgeraldAiles Rouges (DET)C635712-160117343133911.63%96229.870000101111410044.56%68900000.3900000000
22Dean EvasonAiles Rouges (DET)C185510280223033121515.15%329416.350113310002480043.94%26400000.6800000011
23Igor KravchukRed WingsD13189-660221258134.00%1632224.820331647000059000.00%000000.5600000000
24Todd EwenAiles Rouges (DET)RW525492360531024112720.83%03296.3300009000001151.72%2900000.5500000110
25Tony TwistAiles Rouges (DET)LW18257-35606010134915.38%028215.700223560000120057.69%2600000.5000000002
26Sandis OzolinshRed WingsD2055320223020.00%04120.780000400007000.00%000002.4100000010
27John TuckerAiles Rouges (DET)C18134120410113109.09%71317.3200004000000048.06%12900000.6100000000
Team Total or Average1536252462714-105114995179117892229651160511.31%7252510016.348314422767036154913383228281548.77%690000110.57004410353432
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
1Darcy WakalukAiles Rouges (DET)42171950.8982.9324178211811580010.00004111402
2Ron TugnuttAiles Rouges (DET)3682520.8803.6819730012110080140.0000344100
3Stephane BeauregardAiles Rouges (DET)153300.8883.4356000322860200.0000767000
Team Total or Average93284770.8893.2849518227124520350.00008282502


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 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
Brad BombadirAiles Rouges (DET)D221999-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$184$No
Bryan FogartyAiles Rouges (DET)D251996-02-09 9:08:37 PMNo185 Lbs6 ft0NoNoNo1Pro & Farm350,000$35,000$257$No
Chris KontosAiles Rouges (DET)LW311990-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo2Pro & Farm520,000$52,000$382$No520,000$
Chris SimonAiles Rouges (DET)LW231998-02-09 9:08:37 PMNo219 Lbs6 ft3NoNoNo1Pro & Farm495,000$495,000$3,640$No
Dan VinceletteAiles Rouges (DET)LW271994-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo2Pro & Farm485,000$48,500$357$No485,000$
Darcy WakalukAiles Rouges (DET)G281993-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo2Pro & Farm850,000$85,000$625$No850,000$
David ShawAiles Rouges (DET)D301991-02-09 9:08:37 PMNo204 Lbs6 ft2NoNoNo1Pro & Farm225,000$22,500$165$No
Dean EvasonAiles Rouges (DET)C341987-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo2Pro & Farm425,000$42,500$312$No425,000$
Dwayne NorrisAiles Rouges (DET)RW241997-02-09 9:08:37 PMNo175 Lbs5 ft10NoNoNo3Pro & Farm402,000$40,200$296$No402,000$402,000$
Jason RuffAiles Rouges (DET)LW241997-02-09 9:08:37 PMNo203 Lbs6 ft2NoNoNo1Pro & Farm311,000$31,100$229$No
Jimmy WaiteAiles Rouges (DET)G251996-02-09 9:08:37 PMNo180 Lbs6 ft1NoNoNo1Pro & Farm380,000$38,000$279$No
Joey KocurAiles Rouges (DET)RW301991-02-09 9:08:37 PMNo220 Lbs6 ft0NoNoNo1Pro & Farm360,000$36,000$265$No
John TuckerAiles Rouges (DET)C301991-02-09 9:08:37 PMNo185 Lbs6 ft0NoNoNo1Pro & Farm255,000$25,500$188$No
Keith PrimeauAiles Rouges (DET)C231998-02-09 9:08:37 PMNo212 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$3,676$No500,000$
Ken KleeAiles Rouges (DET)D231998-02-09 9:08:37 PMNo212 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$184$No
Ken McRaeAiles Rouges (DET)RW261995-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo2Pro & Farm375,000$37,500$276$No375,000$
Kerry HuffmanAiles Rouges (DET)D261995-02-09 9:08:37 PMNo202 Lbs6 ft2NoNoNo3Pro & Farm650,000$65,000$478$No650,000$650,000$
Martin StrakaAiles Rouges (DET)LW221999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo3Pro & Farm520,000$52,000$382$No520,000$520,000$
Randy MollerAiles Rouges (DET)D311990-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo1Pro & Farm275,000$27,500$202$No
Ron TugnuttAiles Rouges (DET)G271994-02-09 9:08:37 PMNo156 Lbs5 ft11NoNoNo2Pro & Farm720,000$72,000$529$No720,000$
Rusty FitzgeraldAiles Rouges (DET)C221999-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo1Pro & Farm275,000$27,500$202$No
Scott PearsonAiles Rouges (DET)LW251996-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Scott ScissonsAiles Rouges (DET)C231998-02-09 9:08:37 PMYes201 Lbs6 ft1NoNoNo1Pro & Farm100,000$10,000$74$No
Stephane BeauregardAiles Rouges (DET)G261995-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo1Pro & Farm530,000$53,000$390$No
Stephane MorinAiles Rouges (DET)C251996-02-09 9:08:37 PMNo175 Lbs6 ft1NoNoNo3Pro & Farm499,000$49,900$367$No499,000$499,000$
Steven RiceAiles Rouges (DET)RW231998-02-09 9:08:37 PMNo223 Lbs6 ft0NoNoNo1Pro & Farm450,000$45,000$331$No
Todd EwenAiles Rouges (DET)RW281993-02-09 9:08:37 PMNo230 Lbs6 ft3NoNoNo3Pro & Farm335,000$33,500$246$No335,000$335,000$
Tommy AlbelinAiles Rouges (DET)D301991-02-09 9:08:37 PMNo202 Lbs6 ft1NoNoNo1Pro & Farm300,000$30,000$221$No
Tommy SjodinAiles Rouges (DET)D291992-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm580,000$58,000$426$No580,000$
Tony TwistAiles Rouges (DET)LW261995-02-09 9:08:37 PMNo230 Lbs6 ft1NoNoNo1Pro & Farm225,000$22,500$165$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3026.27198 Lbs6 ft11.67409,733$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dan VinceletteKeith PrimeauJoey Kocur35122
2Martin StrakaDean EvasonKen McRae30122
3Chris KontosStephane MorinTodd Ewen20122
4Chris SimonJohn TuckerKeith Primeau15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Randy MollerKerry Huffman35122
2David ShawTommy Sjodin30122
3Tommy AlbelinBrad Bombadir20122
4Randy MollerKerry Huffman15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dan VinceletteKeith PrimeauJoey Kocur60122
2Martin StrakaDean EvasonKen McRae40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Keith PrimeauDan Vincelette60122
2Dean EvasonMartin Straka40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Keith Primeau60122Randy MollerKerry Huffman60122
2Dan Vincelette40122David ShawTommy Sjodin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Keith PrimeauDan Vincelette60122
2Dean EvasonMartin Straka40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dan VinceletteKeith PrimeauJoey KocurRandy MollerKerry Huffman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dan VinceletteKeith PrimeauJoey KocurRandy MollerKerry Huffman
Extra Forwards
Normal PowerPlayPenalty Kill
Scott Pearson, Stephane Morin, Chris KontosScott Pearson, Stephane MorinChris Kontos
Extra Defensemen
Normal PowerPlayPenalty Kill
Tommy Albelin, Brad Bombadir, David ShawTommy AlbelinBrad Bombadir, David Shaw
Penalty Shots
Keith Primeau, Dan Vincelette, Dean Evason, Martin Straka, Stephane Morin
Goalie
#1 : Darcy Wakaluk, #2 : Stephane Beauregard


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
1As924201002427-3412100001012-2512101001415-170.389244771008378703243662697728182547613218459711.86%531179.25%11274265048.08%1430288949.50%629130148.35%1881123320136531070529
2Banshees504100001022-122011000057-230300000515-1010.10010172700837870310966269772818168499210418211.11%37781.08%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
3Canadiens63201000191363200100011653120000087180.66719375601837870316266269772818166537612443920.93%37781.08%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
4Chiefs52300000151503210000011922020000046-240.40015264100837870312466269772818132345010737513.51%24579.17%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
5Citadelles523000001315-231200000811-32110000054140.40013243700837870312166269772818142445211219315.79%25580.00%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
6Croque-Morts817000002441-17404000001323-10413000001118-720.125244468108378703207662697728182698110817138821.05%511668.63%21274265048.08%1430288949.50%629130148.35%1881123320136531070529
7Harvard6420000022148422000001110122000000114780.66722426400837870317266269772818174509313232721.88%37683.78%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
8Isotopes623100001619-320200000512-742110000117450.41716304600837870316666269772818159459112533824.24%38781.58%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
9Pacifiques de la route512110001619-331101000121112011000048-450.50016284400837870312366269772818185437410118422.22%36877.78%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
10Riverman513100001216-42020000057-23111000079-230.30012213300837870314266269772818135357910524312.50%30776.67%11274265048.08%1430288949.50%629130148.35%1881123320136531070529
11Snipers514000001315-22110000085330300000510-520.2001325381083787031276626977281816544449922313.64%22290.91%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
12Spoonman's734000001825-7422000001414031200000411-760.42918345211837870316966269772818223559517631516.13%42880.95%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
13Wolves1035110003235-35221000015132513010001722-590.450325890208378703240662697728182857815522144818.18%47687.23%01274265048.08%1430288949.50%629130148.35%1881123320136531070529
Total82254673100234276-4241142232000128140-1241112441100106136-30640.3902344336675283787032105662697728182457687114117614187217.22%4799580.17%41274265048.08%1430288949.50%629130148.35%1881123320136531070529
_Since Last GM Reset82324603100234276-4241142232000128140-12411824-31100106136-30710.4332344336675283787032105662697728182457687114117614187217.22%4799580.17%41274265048.08%1430288949.50%629130148.35%1881123320136531070529
_Vs Conference42142502100121153-3220512210006371-822913-211005882-24330.39312122334440837870310826626977281812933575928812053316.10%2395079.08%41274265048.08%1430288949.50%629130148.35%1881123320136531070529
_Vs Division279160110080103-231338200003848-101468-211004255-13210.38980149229308378703690662697728188082353955761412316.31%1513378.15%31274265048.08%1430288949.50%629130148.35%1881123320136531070529

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8264L1234433667210524576871141176152
All Games
GPWLOTWOTL TGFGA
822546317234276
Home Games
GPWLOTWOTL TGFGA
411422203128140
Visitor Games
GPWLOTWOTL TGFGA
411124114106136
Last 10 Games
WLOTWOTL T
45001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4187217.22%4799580.17%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
662697728188378703
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1274265048.08%1430288949.50%629130148.35%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1881123320136531070529


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 - 2020-09-215Ailes Rouges5Wolves3WBoxScore
2 - 2020-09-2210Wolves5Ailes Rouges3LBoxScore
4 - 2020-09-2420Ailes Rouges3Wolves4LBoxScore
5 - 2020-09-2523Ailes Rouges4As5LXBoxScore
6 - 2020-09-2626Croque-Morts8Ailes Rouges5LBoxScore
7 - 2020-09-2735Ailes Rouges0Croque-Morts3LBoxScore
9 - 2020-09-2941Wolves4Ailes Rouges3LBoxScore
10 - 2020-09-3051Harvard3Ailes Rouges1LBoxScore
11 - 2020-10-0158Banshees3Ailes Rouges3TXBoxScore
14 - 2020-10-0466Ailes Rouges3As1WBoxScore
15 - 2020-10-0572Ailes Rouges1Pacifiques de la route5LBoxScore
17 - 2020-10-0779Banshees4Ailes Rouges2LBoxScore
19 - 2020-10-0986Ailes Rouges1Chiefs2LBoxScore
21 - 2020-10-1192Harvard3Ailes Rouges4WBoxScore
23 - 2020-10-13100Ailes Rouges3Croque-Morts5LBoxScore
25 - 2020-10-15106As5Ailes Rouges3LBoxScore
27 - 2020-10-17114Ailes Rouges6Croque-Morts4WBoxScore
29 - 2020-10-19118Ailes Rouges4Wolves6LBoxScore
31 - 2020-10-21125Harvard1Ailes Rouges5WBoxScore
33 - 2020-10-23134Snipers2Ailes Rouges1LBoxScore
35 - 2020-10-25140Ailes Rouges5Harvard1WBoxScore
37 - 2020-10-27148Croque-Morts5Ailes Rouges1LBoxScore
39 - 2020-10-29156Ailes Rouges3Banshees7LBoxScore
42 - 2020-11-01163Citadelles4Ailes Rouges1LBoxScore
43 - 2020-11-02171Spoonman's6Ailes Rouges4LBoxScore
44 - 2020-11-03177Ailes Rouges1As2LBoxScore
46 - 2020-11-05179Ailes Rouges2Spoonman's5LBoxScore
47 - 2020-11-06190Ailes Rouges2Snipers4LBoxScore
48 - 2020-11-07195Citadelles5Ailes Rouges3LBoxScore
50 - 2020-11-09204Ailes Rouges1Banshees2LBoxScore
52 - 2020-11-11207Spoonman's3Ailes Rouges5WBoxScore
53 - 2020-11-12219Croque-Morts4Ailes Rouges3LBoxScore
55 - 2020-11-14225Ailes Rouges1Canadiens2LBoxScore
56 - 2020-11-15229Ailes Rouges1Riverman4LBoxScore
58 - 2020-11-17238Wolves2Ailes Rouges3WBoxScore
59 - 2020-11-18244Ailes Rouges4Wolves3WXBoxScore
61 - 2020-11-20251Isotopes4Ailes Rouges3LBoxScore
62 - 2020-11-21258Ailes Rouges3Riverman3TXBoxScore
64 - 2020-11-23263Riverman3Ailes Rouges2LBoxScore
65 - 2020-11-24270Ailes Rouges3Citadelles1WBoxScore
67 - 2020-11-26278Pacifiques de la route2Ailes Rouges5WBoxScore
68 - 2020-11-27286Ailes Rouges3Pacifiques de la route3TXBoxScore
70 - 2020-11-29291Ailes Rouges0Spoonman's5LBoxScore
71 - 2020-11-30295Pacifiques de la route3Ailes Rouges4WXBoxScore
72 - 2020-12-01304Ailes Rouges1Isotopes1TXBoxScore
73 - 2020-12-02308Canadiens3Ailes Rouges4WXBoxScore
74 - 2020-12-03317Ailes Rouges5As5TXBoxScore
76 - 2020-12-05324Chiefs2Ailes Rouges4WBoxScore
78 - 2020-12-07332Ailes Rouges0Isotopes2LBoxScore
79 - 2020-12-08338Spoonman's5Ailes Rouges2LBoxScore
80 - 2020-12-09349Spoonman's0Ailes Rouges3WBoxScore
83 - 2020-12-12358Pacifiques de la route6Ailes Rouges3LBoxScore
84 - 2020-12-13363Ailes Rouges1As2LBoxScore
86 - 2020-12-15372Snipers3Ailes Rouges7WBoxScore
88 - 2020-12-17373Ailes Rouges2Canadiens3LBoxScore
90 - 2020-12-19384Ailes Rouges1Wolves6LBoxScore
92 - 2020-12-21388Ailes Rouges1Snipers3LBoxScore
94 - 2020-12-23394Canadiens0Ailes Rouges3WBoxScore
96 - 2020-12-25406Isotopes8Ailes Rouges2LBoxScore
98 - 2020-12-27414As2Ailes Rouges2TXBoxScore
100 - 2020-12-29415Ailes Rouges5Canadiens2WBoxScore
101 - 2020-12-30427Ailes Rouges2Croque-Morts6LBoxScore
103 - 2021-01-01430Canadiens3Ailes Rouges4WBoxScore
104 - 2021-01-02436Ailes Rouges2Spoonman's1WBoxScore
106 - 2021-01-04447Croque-Morts6Ailes Rouges4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
109 - 2021-01-07453Ailes Rouges2Citadelles3LBoxScore
110 - 2021-01-08460Riverman4Ailes Rouges3LBoxScore
112 - 2021-01-10470Citadelles2Ailes Rouges4WBoxScore
114 - 2021-01-12477Ailes Rouges6Harvard3WBoxScore
115 - 2021-01-13483Ailes Rouges6Isotopes3WBoxScore
116 - 2021-01-14487Harvard3Ailes Rouges1LBoxScore
118 - 2021-01-16495Ailes Rouges3Riverman2WBoxScore
119 - 2021-01-17502Chiefs5Ailes Rouges4LBoxScore
120 - 2021-01-18508Ailes Rouges4Isotopes1WBoxScore
121 - 2021-01-19512Ailes Rouges1Banshees6LBoxScore
122 - 2021-01-20518Chiefs2Ailes Rouges3WBoxScore
123 - 2021-01-21529Ailes Rouges2Snipers3LBoxScore
124 - 2021-01-22531As4Ailes Rouges3LBoxScore
127 - 2021-01-25543As1Ailes Rouges2WBoxScore
130 - 2021-01-28555Wolves1Ailes Rouges5WBoxScore
132 - 2021-01-30563Wolves1Ailes Rouges1TXBoxScore
134 - 2021-02-01570Ailes Rouges3Chiefs4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,697,723$ 2,124,700$ 2,124,700$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,124,700$ 1,697,723$ 30 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 16,321$ 16,321$




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