Ailes Rouges
GP: 82 | W: 28 | L: 46 | T: 7 | P: 64
GF: 234 | GA: 276 | PP%: 17.22% | PK%: 80.17%
DG: Jérémy Côté | Morale : 34 | Moyenne d'Équipe : 64
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Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
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$
Rayé
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$
MOYENNE D'ÉQUIPE100.00685762667567686561686171584245663763
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien 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
Rayé
1Ron Tugnutt100.00818477747871858781787838426019730
2Jimmy Waite100.00727575747457687767727037377520650
MOYENNE D'ÉQUIPE100.0076788179806778817578754446642471
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Keenan73757664889083CAN43295,000$


Astuces sur les Filtres (Anglais seulement)
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
# Nom du Joueur Nom de l'ÉquipePOSGP 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%04120.770000400007000.00%000002.4100000010
27John TuckerAiles Rouges (DET)C18134120410113109.09%71317.3200004000000048.06%12900000.6100000000
Stats d'équipe Total ou en Moyenne1536252462714-105114995179117892229651160511.31%7252510016.348314422767036154913383228281548.77%690000110.57004410353432
Astuces sur les Filtres (Anglais seulement)
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
# Nom du Gardien Nom de l'ÉquipeGP 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
Stats d'équipe Total ou en Moyenne93284770.8893.2849518227124520350.00008282502


Astuces sur les Filtres (Anglais seulement)
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
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 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
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3026.27198 Lbs6 ft11.67409,733$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dan VinceletteKeith PrimeauJoey Kocur35122
2Martin StrakaDean EvasonKen McRae30122
3Chris KontosStephane MorinTodd Ewen20122
4Chris SimonJohn TuckerKeith Primeau15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Randy MollerKerry Huffman35122
2David ShawTommy Sjodin30122
3Tommy AlbelinBrad Bombadir20122
4Randy MollerKerry Huffman15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dan VinceletteKeith PrimeauJoey Kocur60122
2Martin StrakaDean EvasonKen McRae40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Keith PrimeauDan Vincelette60122
2Dean EvasonMartin Straka40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Keith Primeau60122Randy MollerKerry Huffman60122
2Dan Vincelette40122David ShawTommy Sjodin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Keith PrimeauDan Vincelette60122
2Dean EvasonMartin Straka40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Randy MollerKerry Huffman60122
2David ShawTommy Sjodin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dan VinceletteKeith PrimeauJoey KocurRandy MollerKerry Huffman
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dan VinceletteKeith PrimeauJoey KocurRandy MollerKerry Huffman
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Scott Pearson, Stephane Morin, Chris KontosScott Pearson, Stephane MorinChris Kontos
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tommy Albelin, Brad Bombadir, David ShawTommy AlbelinBrad Bombadir, David Shaw
Tirs de Pénalité
Keith Primeau, Dan Vincelette, Dean Evason, Martin Straka, Stephane Morin
Gardien
#1 : Darcy Wakaluk, #2 : Stephane Beauregard


Astuces sur les Filtres (Anglais seulement)
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
LigueDomicileVisiteur
# VS Équipe 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 Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8264L1234433667210524576871141176152
Tous les Matchs
GPWLOTWOTL TGFGA
822546317234276
Matchs locaux
GPWLOTWOTL TGFGA
411422203128140
Matchs Éxtérieurs
GPWLOTWOTL TGFGA
411124114106136
Derniers 10 Matchs
WLOTWOTL T
45001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4187217.22%4799580.17%4
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
662697728188378703
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
1274265048.08%1430288949.50%629130148.35%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1881123320136531070529


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
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
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
1 - 2020-09-215Ailes Rouges5Wolves3WSommaire du Match
2 - 2020-09-2210Wolves5Ailes Rouges3LSommaire du Match
4 - 2020-09-2420Ailes Rouges3Wolves4LSommaire du Match
5 - 2020-09-2523Ailes Rouges4As5LXSommaire du Match
6 - 2020-09-2626Croque-Morts8Ailes Rouges5LSommaire du Match
7 - 2020-09-2735Ailes Rouges0Croque-Morts3LSommaire du Match
9 - 2020-09-2941Wolves4Ailes Rouges3LSommaire du Match
10 - 2020-09-3051Harvard3Ailes Rouges1LSommaire du Match
11 - 2020-10-0158Banshees3Ailes Rouges3TXSommaire du Match
14 - 2020-10-0466Ailes Rouges3As1WSommaire du Match
15 - 2020-10-0572Ailes Rouges1Pacifiques de la route5LSommaire du Match
17 - 2020-10-0779Banshees4Ailes Rouges2LSommaire du Match
19 - 2020-10-0986Ailes Rouges1Chiefs2LSommaire du Match
21 - 2020-10-1192Harvard3Ailes Rouges4WSommaire du Match
23 - 2020-10-13100Ailes Rouges3Croque-Morts5LSommaire du Match
25 - 2020-10-15106As5Ailes Rouges3LSommaire du Match
27 - 2020-10-17114Ailes Rouges6Croque-Morts4WSommaire du Match
29 - 2020-10-19118Ailes Rouges4Wolves6LSommaire du Match
31 - 2020-10-21125Harvard1Ailes Rouges5WSommaire du Match
33 - 2020-10-23134Snipers2Ailes Rouges1LSommaire du Match
35 - 2020-10-25140Ailes Rouges5Harvard1WSommaire du Match
37 - 2020-10-27148Croque-Morts5Ailes Rouges1LSommaire du Match
39 - 2020-10-29156Ailes Rouges3Banshees7LSommaire du Match
42 - 2020-11-01163Citadelles4Ailes Rouges1LSommaire du Match
43 - 2020-11-02171Spoonman's6Ailes Rouges4LSommaire du Match
44 - 2020-11-03177Ailes Rouges1As2LSommaire du Match
46 - 2020-11-05179Ailes Rouges2Spoonman's5LSommaire du Match
47 - 2020-11-06190Ailes Rouges2Snipers4LSommaire du Match
48 - 2020-11-07195Citadelles5Ailes Rouges3LSommaire du Match
50 - 2020-11-09204Ailes Rouges1Banshees2LSommaire du Match
52 - 2020-11-11207Spoonman's3Ailes Rouges5WSommaire du Match
53 - 2020-11-12219Croque-Morts4Ailes Rouges3LSommaire du Match
55 - 2020-11-14225Ailes Rouges1Canadiens2LSommaire du Match
56 - 2020-11-15229Ailes Rouges1Riverman4LSommaire du Match
58 - 2020-11-17238Wolves2Ailes Rouges3WSommaire du Match
59 - 2020-11-18244Ailes Rouges4Wolves3WXSommaire du Match
61 - 2020-11-20251Isotopes4Ailes Rouges3LSommaire du Match
62 - 2020-11-21258Ailes Rouges3Riverman3TXSommaire du Match
64 - 2020-11-23263Riverman3Ailes Rouges2LSommaire du Match
65 - 2020-11-24270Ailes Rouges3Citadelles1WSommaire du Match
67 - 2020-11-26278Pacifiques de la route2Ailes Rouges5WSommaire du Match
68 - 2020-11-27286Ailes Rouges3Pacifiques de la route3TXSommaire du Match
70 - 2020-11-29291Ailes Rouges0Spoonman's5LSommaire du Match
71 - 2020-11-30295Pacifiques de la route3Ailes Rouges4WXSommaire du Match
72 - 2020-12-01304Ailes Rouges1Isotopes1TXSommaire du Match
73 - 2020-12-02308Canadiens3Ailes Rouges4WXSommaire du Match
74 - 2020-12-03317Ailes Rouges5As5TXSommaire du Match
76 - 2020-12-05324Chiefs2Ailes Rouges4WSommaire du Match
78 - 2020-12-07332Ailes Rouges0Isotopes2LSommaire du Match
79 - 2020-12-08338Spoonman's5Ailes Rouges2LSommaire du Match
80 - 2020-12-09349Spoonman's0Ailes Rouges3WSommaire du Match
83 - 2020-12-12358Pacifiques de la route6Ailes Rouges3LSommaire du Match
84 - 2020-12-13363Ailes Rouges1As2LSommaire du Match
86 - 2020-12-15372Snipers3Ailes Rouges7WSommaire du Match
88 - 2020-12-17373Ailes Rouges2Canadiens3LSommaire du Match
90 - 2020-12-19384Ailes Rouges1Wolves6LSommaire du Match
92 - 2020-12-21388Ailes Rouges1Snipers3LSommaire du Match
94 - 2020-12-23394Canadiens0Ailes Rouges3WSommaire du Match
96 - 2020-12-25406Isotopes8Ailes Rouges2LSommaire du Match
98 - 2020-12-27414As2Ailes Rouges2TXSommaire du Match
100 - 2020-12-29415Ailes Rouges5Canadiens2WSommaire du Match
101 - 2020-12-30427Ailes Rouges2Croque-Morts6LSommaire du Match
103 - 2021-01-01430Canadiens3Ailes Rouges4WSommaire du Match
104 - 2021-01-02436Ailes Rouges2Spoonman's1WSommaire du Match
106 - 2021-01-04447Croque-Morts6Ailes Rouges4LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
109 - 2021-01-07453Ailes Rouges2Citadelles3LSommaire du Match
110 - 2021-01-08460Riverman4Ailes Rouges3LSommaire du Match
112 - 2021-01-10470Citadelles2Ailes Rouges4WSommaire du Match
114 - 2021-01-12477Ailes Rouges6Harvard3WSommaire du Match
115 - 2021-01-13483Ailes Rouges6Isotopes3WSommaire du Match
116 - 2021-01-14487Harvard3Ailes Rouges1LSommaire du Match
118 - 2021-01-16495Ailes Rouges3Riverman2WSommaire du Match
119 - 2021-01-17502Chiefs5Ailes Rouges4LSommaire du Match
120 - 2021-01-18508Ailes Rouges4Isotopes1WSommaire du Match
121 - 2021-01-19512Ailes Rouges1Banshees6LSommaire du Match
122 - 2021-01-20518Chiefs2Ailes Rouges3WSommaire du Match
123 - 2021-01-21529Ailes Rouges2Snipers3LSommaire du Match
124 - 2021-01-22531As4Ailes Rouges3LSommaire du Match
127 - 2021-01-25543As1Ailes Rouges2WSommaire du Match
130 - 2021-01-28555Wolves1Ailes Rouges5WSommaire du Match
132 - 2021-01-30563Wolves1Ailes Rouges1TXSommaire du Match
134 - 2021-02-01570Ailes Rouges3Chiefs4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,697,723$ 2,124,700$ 2,124,700$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
2,124,700$ 1,697,723$ 30 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 16,321$ 16,321$




LigueDomicileVisiteur
Année 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