Wolves
GP: 82 | W: 52 | L: 13 | T: 15 | P: 121
GF: 292 | GA: 200 | PP%: 15.76% | PK%: 84.69%
DG: Eric Pilon | Morale : 88 | Moyenne d’équipe : 64
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Centre de jeu
Wolves
52-13-2, 121pts
4
FINAL
3 Pacifiques de la route
27-47-2, 62pts
Team Stats
L1StreakL3
29-7-1Home Record14-25-1
23-6-1Away Record13-22-1
3-2-0Last 10 Games3-6-0
3.56Goals Per Game2.82
2.44Goals Against Per Game3.50
15.76%Power Play Percentage14.58%
84.69%Penalty Kill Percentage78.62%
Ailes Rouges
28-39-4, 71pts
5
FINAL
4 Wolves
52-13-2, 121pts
Team Stats
L1StreakL1
14-20-3Home Record29-7-1
14-19-1Away Record23-6-1
3-5-0Last 10 Games3-2-0
3.00Goals Per Game3.56
3.61Goals Against Per Game2.44
21.32%Power Play Percentage15.76%
80.84%Penalty Kill Percentage84.69%
Meneurs d'équipe
Buts
Nikolai Borschevsky
18
Passes
Nikolai Borschevsky
33
Points
Nikolai Borschevsky
51
Plus/Moins
Nikolai Borschevsky
19
Victoires
Tommy Soderstrom
40
Pourcentage d’arrêts
Kay Whitmore
0.915

Statistiques d’équipe
Buts pour
292
3.56 GFG
Tirs pour
2384
29.07 Avg
Pourcentage en avantage numérique
15.8%
55 GF
Début de zone offensive
41.1%
Buts contre
200
2.44 GAA
Tirs contre
2082
25.39 Avg
Pourcentage en désavantage numérique
84.7%
47 GA
Début de la zone défensive
39.4%
Information d’équipe

Directeur généralEric Pilon
EntraîneurButch Goring
DivisionDivision 4
ConférenceCampbell
CapitaineNormand Rochefort
Assistant #1Brent Gilchrist
Assistant #2Randy Burridge


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure20
Limite contact 51 / 65
Espoirs11


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
1Petr KlimaX100.004736856872767676727575607454633545670302830,000$
2Randy Burridge (A)X100.005546796670666879758178637250555089670283650,000$
3Brent Gilchrist (A)X100.005945846971697365647065836453575190660272715,000$
4Tom ChorskeX97.006043876277677272687670746850495089660282690,000$
5Chris Gratton (R)X100.008378566679838265797374656740408589660202250,000$
6Kevin KaminskiX100.008479477067676872647471656443477290650251500,000$
7Mike McPheeX100.00604484637572746769706667667473289650341645,000$
8Mikael AnderssonX100.004937786572727268626967676457565182640283525,000$
9Dean McAmmond (R)X100.004839837272646472617269676332329382630211300,000$
10Trent KlattX100.005645796776616667606767686538438589620233450,000$
11Tyler Wright (R)X100.008281387369656662616256745532329389610213370,000$
12Jason Dawe (R)X100.005346786971646565626960705736329289610223350,000$
13Normand Rochefort (C)X100.00644872547580785350573682358795889670332760,000$
14Jassen Cullimore (R)X100.007057616581716862576851794730309485630221350,000$
15Mike Rathje (R)X100.007067516282717064536542823730349589630202400,000$
16Sergei BautinX100.005949736776636269626945704045475686620271250,000$
17Pat MacLeodX100.005748756672676870627155664846417389620251150,000$
18Jason Smith (R)X100.006054606577656558546339743734379480600212400,000$
Rayé
1Scott LevinsX100.006859566578656564596665606236298119600242375,000$
2Paul DiPietroX100.005444776869586065636762666231317920600241335,000$
3Juha Lind (R)X100.005644787469646465636363646130339420600202450,000$
4Robert Petrovicky (R)X100.004839807170656561646458595832329320580212350,000$
5Alek StojanovX100.006354656282575653546448684634359320560202450,000$
6Ilya ByakinX100.005442806870585571456962616561481420610322250,000$
7Nathan Demspey (R)X100.006351656873626063586739733732359220600202410,000$
8Cale Hulse (R)X100.006858646479676659586635733332319420600211200,000$
9Sami Helenius (R)X100.006552736180575652495736673428319620560201320,000$
MOYENNE D’ÉQUIPE99.89615171667467676561685869554243716362
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
1Kay Whitmore100.00718177727371778477737167735287730
2Tommy Soderstrom100.00767669697183899288737639487087730
Rayé
1Jim Carey (R)100.00727478787681838984737034389420720
2Chris Osgood (R)100.00738275737472758376726847479020700
MOYENNE D’ÉQUIPE100.0073787573747781878173714752775472
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Butch Goring71816268918872CAN56195,000$


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
1Tom ChorskeWolves (CHI)LW823541763080591032696316513.01%10165120.149162557292112152607048.15%16200220.9200000475
2Chris GrattonWolves (CHI)C8130437329122402891712145014414.02%6150418.5791221632920001384256.97%179400000.9700125675
3Brent GilchristWolves (CHI)C82274572313401242241955416913.85%17168120.5076134828410152527049.53%221100000.8600000625
4Randy BurridgeWolves (CHI)LW8140327221160711202617319015.33%9154019.0241014472890001448150.30%16500110.9300000734
5Mike RathjeWolves (CHI)D82746533010010174999235687.61%91181922.183912542970111243200.00%000100.5800101315
6Mikael AnderssonWolves (CHI)RW811933522222049801455512113.10%5132316.336915412800000161054.24%11800000.7900000242
7Nikolai BorschevskyBlackhawksRW5018335119409831727113010.47%896219.25369301680000132250.98%10200001.0600000251
8Jassen CullimoreWolves (CHI)D821236483695151539898395312.24%101176621.558816662900001236210.00%000000.5400011212
9Kevin KaminskiWolves (CHI)C822120411812630196127154429713.64%994911.58000220000443147.71%102700100.8600104435
10Mike McPheeWolves (CHI)LW822215372200364136358616.18%696011.710001150000215158.06%9300200.7700000445
11Sergei BautinWolves (CHI)D7933134166610122784011317.50%53136017.2223521112000089100.00%000000.5000110103
12Pat MacLeodWolves (CHI)D82727342132084727721399.09%56143517.5105536148000068000.00%000000.4700000033
13Trent KlattWolves (CHI)RW8218163417201173113338715.93%890511.042131193000003242.03%6900010.7500000142
14Jason DaweWolves (CHI)RW8262632180037411232725.36%11103112.5800021900041452042.03%6900000.6200000121
15Normand RochefortWolves (CHI)D823262929420101686419414.69%109188522.99279312140001262100.00%000000.3100000034
16Jason SmithWolves (CHI)D722252731531510251388285.26%82151121.00033141330000165000.00%000000.3600021101
17Dean McAmmondWolves (CHI)LW7113102370005195225913.68%56368.960110100001613143.24%3700000.7200000022
18Tyler WrightWolves (CHI)C8251722870201541037514426.67%78019.7800011401151760046.56%90200000.5500012110
19Juha LindWolves (CHI)LW1841540007171723.53%11206.6800000000001130.00%1000000.8300000100
20Petr KlimaWolves (CHI)RW8022600769540.00%014818.54000230000000071.43%700000.2700000000
21Ilya ByakinWolves (CHI)D10011220642010.00%315115.100000400009000.00%000000.1300000000
22Scott LevinsWolves (CHI)RW13000200035350.00%0796.1200001000000033.33%600000.0000000000
23Paul DiPietroWolves (CHI)C7000-100051100.00%1375.2900018000020044.68%4700000.0000000000
24Cale HulseWolves (CHI)D3000320630000.00%04715.720000000006000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1476292526818421796140172317672384687163912.25%5982431116.4755961515283006235352163521250.78%681900740.67004714465255
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
1Tommy SoderstromWolves (CHI)654013100.9022.47383421215816120220.00006418340
2Kay WhitmoreWolves (CHI)2112250.9152.07115721404680000.00001864111
Statistiques d’équipe totales ou en moyenne865215150.9052.38499223319820800220.00008282451


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alek StojanovWolves (CHI)RW202001-02-09 9:08:37 PMNo232 Lbs6 ft4NoNoNo2Pro & Farm450,000$45,000$366$No450,000$
Brent GilchristWolves (CHI)C271994-02-09 9:08:37 PMNo181 Lbs5 ft11NoNoNo2Pro & Farm715,000$71,500$581$No715,000$
Cale HulseWolves (CHI)D212000-02-09 9:08:37 PMYes215 Lbs6 ft3NoNoNo1Pro & Farm200,000$20,000$163$No
Chris GrattonWolves (CHI)C202001-08-11 9:06:42 AMYes220 Lbs6 ft3NoNoNo2Pro & Farm250,000$25,000$203$No250,000$
Chris OsgoodWolves (CHI)G221999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo1Pro & Farm400,000$40,000$325$No
Dean McAmmondWolves (CHI)LW212000-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo1Pro & Farm300,000$30,000$244$No
Ilya ByakinWolves (CHI)D321989-08-11 9:00:40 AMNo183 Lbs5 ft10NoNoNo2Pro & Farm250,000$25,000$203$No250,000$
Jason DaweWolves (CHI)RW221999-02-09 9:08:37 PMYes189 Lbs5 ft10NoNoNo3Pro & Farm350,000$35,000$285$No350,000$350,000$
Jason SmithWolves (CHI)D212000-02-09 9:08:37 PMYes205 Lbs6 ft3NoNoNo2Pro & Farm400,000$40,000$325$No400,000$
Jassen CullimoreWolves (CHI)D221999-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo1Pro & Farm350,000$35,000$285$No
Jim CareyWolves (CHI)G202001-02-09 9:08:37 PMYes190 Lbs6 ft2NoNoNo2Pro & Farm500,000$50,000$407$No500,000$
Juha LindWolves (CHI)LW202001-02-09 9:08:37 PMYes166 Lbs5 ft11NoNoNo2Pro & Farm450,000$45,000$366$No450,000$
Kay WhitmoreWolves (CHI)G271994-02-09 9:08:37 PMNo175 Lbs5 ft11NoNoNo3Pro & Farm735,000$73,500$598$No735,000$735,000$
Kevin KaminskiWolves (CHI)C251996-02-09 9:08:37 PMNo170 Lbs5 ft9NoNoNo1Pro & Farm500,000$50,000$407$No
Mikael AnderssonWolves (CHI)RW281993-02-09 9:08:37 PMNo187 Lbs5 ft11NoNoNo3Pro & Farm525,000$52,500$427$No525,000$525,000$
Mike McPheeWolves (CHI)LW341987-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo1Pro & Farm645,000$64,500$524$No
Mike RathjeWolves (CHI)D202001-02-09 9:08:37 PMYes230 Lbs6 ft5NoNoNo2Pro & Farm400,000$40,000$325$No400,000$
Nathan DemspeyWolves (CHI)D202001-02-09 9:08:37 PMYes190 Lbs6 ft0NoNoNo2Pro & Farm410,000$41,000$333$No410,000$
Normand RochefortWolves (CHI)D331988-02-09 9:08:37 PMNo214 Lbs6 ft1NoNoNo2Pro & Farm760,000$76,000$618$No760,000$
Pat MacLeodWolves (CHI)D251996-02-09 9:08:37 PMNo190 Lbs5 ft11NoNoNo1Pro & Farm150,000$15,000$122$No
Paul DiPietroWolves (CHI)C241997-02-09 9:08:37 PMNo181 Lbs5 ft9NoNoNo1Pro & Farm335,000$33,500$272$No
Petr KlimaWolves (CHI)RW301991-02-09 9:08:37 PMNo190 Lbs6 ft0NoNoNo2Pro & Farm830,000$830,000$6,748$No830,000$
Randy BurridgeWolves (CHI)LW281993-02-09 9:08:37 PMNo185 Lbs5 ft9NoNoNo3Pro & Farm650,000$65,000$528$No650,000$650,000$
Robert PetrovickyWolves (CHI)C212000-02-09 9:08:37 PMYes176 Lbs5 ft11NoNoNo2Pro & Farm350,000$35,000$285$No350,000$
Sami HeleniusWolves (CHI)D202001-02-09 9:08:37 PMYes225 Lbs6 ft5NoNoNo1Pro & Farm320,000$32,000$260$No
Scott LevinsWolves (CHI)RW241997-02-09 9:08:37 PMNo210 Lbs6 ft4NoNoNo2Pro & Farm375,000$37,500$305$No375,000$
Sergei BautinWolves (CHI)D271994-02-09 9:08:37 PMNo200 Lbs6 ft3NoNoNo1Pro & Farm250,000$25,000$203$No
Tom ChorskeWolves (CHI)LW281993-02-09 9:08:37 PMNo212 Lbs6 ft1NoNoNo2Pro & Farm690,000$69,000$561$No690,000$
Tommy SoderstromWolves (CHI)G251996-02-09 9:08:37 PMNo162 Lbs5 ft10NoNoNo1Pro & Farm750,000$75,000$610$No
Trent KlattWolves (CHI)RW231998-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo3Pro & Farm450,000$45,000$366$No450,000$450,000$
Tyler WrightWolves (CHI)C212000-02-09 9:08:37 PMYes175 Lbs5 ft11NoNoNo3Pro & Farm370,000$37,000$301$No370,000$370,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.23195 Lbs6 ft11.84455,161$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Randy BurridgeBrent GilchristPetr Klima35014
2Tom ChorskeChris GrattonMikael Andersson30023
3Mike McPheeKevin KaminskiTrent Klatt25032
4Dean McAmmondTyler WrightJason Dawe10131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Normand RochefortMike Rathje35041
2Jassen CullimoreJason Smith35041
3Sergei BautinPat MacLeod30131
4Normand RochefortMike Rathje0131
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Randy BurridgeBrent GilchristPetr Klima50005
2Tom ChorskeChris GrattonMikael Andersson50005
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Normand RochefortMike Rathje50014
2Jassen CullimorePat MacLeod50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Tyler WrightTom Chorske50041
2Mike McPheeJason Dawe50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Normand RochefortMike Rathje55041
2Jassen CullimoreJason Smith45140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Tyler Wright50050Normand RochefortMike Rathje60140
2Jason Dawe50050Jassen CullimoreJason Smith40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brent GilchristRandy Burridge50041
2Chris GrattonTom Chorske50041
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Normand RochefortMike Rathje50041
2Jassen CullimoreJason Smith50131
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Randy BurridgeChris GrattonMikael AnderssonJassen CullimoreMike Rathje
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tom ChorskeTyler WrightJason DaweNormand RochefortMike Rathje
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Chris Gratton, Randy Burridge, Tom ChorskeChris Gratton, Tom ChorskeKevin Kaminski
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mike Rathje, Jassen Cullimore, Jason SmithJassen CullimoreMike Rathje, Normand Rochefort
Tirs de pénalité
Randy Burridge, Brent Gilchrist, Tom Chorske, Chris Gratton, Mike McPhee
Gardien
#1 : Tommy Soderstrom, #2 : Kay Whitmore


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
TotalDomicileVisiteur
# 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
1Ailes Rouges841300003425942110000181354202000016124110.688345993001108793224374981578535210538717739512.82%39879.49%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
2As9810000040172344000000215165410000019127160.8894070110111108793228974981578535219627417652815.38%30293.33%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
3Banshees431000001394211000005502200000084460.75013223500110879321107498157853510929497415320.00%21290.48%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
4Canadiens430010001459210010008442200000061581.0001425390211087932125749815785359232298322522.73%11281.82%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
5Chiefs431000001275220000008262110000045-160.7501219310011087932122749815785359836447923417.39%13192.31%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
6Citadelles44000000209112200000092722000000117481.0002036560011087932128749815785358125457610220.00%16475.00%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
7Croque-Morts8512000027189440000001881041120000910-1120.750275178001108793222574981578535198606915434514.71%28389.29%21459280252.07%1332268449.63%672133350.41%1967132719376431094548
8Harvard44000000177102200000073422000000104681.0001730470011087932107749815785358227209416425.00%100100.00%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
9Isotopes421100001091220000007432011000035-250.625101929101108793210874981578535923160752129.52%15380.00%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
10Mooses7213010024231411101001314-131020000119280.571244367001108793218074981578535164615415833824.24%261157.69%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
11Pacifiques de la route63021000161153101100085332010000862100.833163147001108793218274981578535135387012523313.04%26196.15%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
12Riverman6411000024177321000001073320100001410490.750244266001108793217674981578535174475513226415.38%18288.89%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
13Snipers631101001618-23210000079-23101010099080.66716294500110879321507498157853517432591551100.00%21385.71%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
14Spoonman's41210000131212020000025-321010000117430.3751326390011087932119749815785351013060771300.00%16381.25%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
15Weetouches412100001213-12101000011742020000016-530.37512243600110879321207498157853515335448811218.18%17288.24%01459280252.07%1332268449.63%672133350.41%1967132719376431094548
Total825013152200292200924127742100152935941236110100140107331210.7382925268182311087932238474981578535208259881917233495515.76%3074784.69%21459280252.07%1332268449.63%672133350.41%1967132719376431094548
_Since Last GM Reset82651302200292200924127742100152935941386-40100140107331360.8292925268182311087932238474981578535208259881917233495515.76%3074784.69%21459280252.07%1332268449.63%672133350.41%1967132719376431094548
_Vs Conference504160120018112952251643110095613425252-30100866818860.8601813255061111087932144574981578535127435346810772183315.14%1883084.04%21459280252.07%1332268449.63%672133350.41%1967132719376431094548
_Vs Division25223000001016041121011000057263113122-10000443410440.8801011802811111087932757749815785356271752305071251814.40%971386.60%21459280252.07%1332268449.63%672133350.41%1967132719376431094548

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82121L129252681823842082598819172323
Tous les matchs
GPWLOTWOTL TGFGA
8250132215292200
Matchs locaux
GPWLOTWOTL TGFGA
4127721415293
Matchs extérieurs
GPWLOTWOTL TGFGA
412360111140107
Derniers 10 matchs
WLOTWOTL T
32005
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3495515.76%3074784.69%2
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
7498157853511087932
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
1459280252.07%1332268449.63%672133350.41%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1967132719376431094548


Derniers matchs 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 - 2021-05-043Wolves3Croque-Morts1WSommaire du match
2 - 2021-05-0510As0Wolves7WSommaire du match
3 - 2021-05-0616Wolves3As1WSommaire du match
5 - 2021-05-0825Croque-Morts2Wolves3WSommaire du match
6 - 2021-05-0937Mooses5Wolves4LXSommaire du match
7 - 2021-05-1044Wolves2As4LSommaire du match
8 - 2021-05-1153Pacifiques de la route1Wolves1TXSommaire du match
9 - 2021-05-1258Wolves5Ailes Rouges3WSommaire du match
11 - 2021-05-1469Riverman1Wolves3WSommaire du match
14 - 2021-05-1778Wolves0Croque-Morts3LSommaire du match
16 - 2021-05-1986Croque-Morts3Wolves4WSommaire du match
17 - 2021-05-2094As1Wolves5WSommaire du match
19 - 2021-05-22102Wolves2As1WSommaire du match
21 - 2021-05-24105Wolves3Snipers2WSommaire du match
23 - 2021-05-26117As2Wolves4WSommaire du match
25 - 2021-05-28124Wolves4Ailes Rouges2WSommaire du match
28 - 2021-05-31133Mooses2Wolves3WSommaire du match
29 - 2021-06-01138Wolves5Harvard3WSommaire du match
30 - 2021-06-02148Pacifiques de la route1Wolves3WSommaire du match
33 - 2021-06-05158Wolves7As3WSommaire du match
34 - 2021-06-06165Wolves0Weetouches4LSommaire du match
35 - 2021-06-07173Weetouches4Wolves4TXSommaire du match
36 - 2021-06-08182Snipers1Wolves2WSommaire du match
38 - 2021-06-10190Wolves5Harvard1WSommaire du match
40 - 2021-06-12198Snipers2Wolves4WSommaire du match
42 - 2021-06-14206Wolves1Weetouches2LSommaire du match
44 - 2021-06-16213Weetouches3Wolves7WSommaire du match
46 - 2021-06-18222Harvard2Wolves4WSommaire du match
48 - 2021-06-20230Wolves2Snipers3LXSommaire du match
50 - 2021-06-22238Snipers6Wolves1LSommaire du match
53 - 2021-06-25247Wolves3Chiefs2WSommaire du match
54 - 2021-06-26254Wolves3Canadiens1WSommaire du match
55 - 2021-06-27262Chiefs1Wolves4WSommaire du match
57 - 2021-06-29271Wolves6Riverman6TXSommaire du match
58 - 2021-06-30280Croque-Morts2Wolves5WSommaire du match
59 - 2021-07-01287Wolves4Banshees2WSommaire du match
60 - 2021-07-02295Mooses3Wolves3TXSommaire du match
61 - 2021-07-03302Wolves5Spoonman's5TXSommaire du match
62 - 2021-07-04310Harvard1Wolves3WSommaire du match
64 - 2021-07-06316Wolves2Isotopes2TXSommaire du match
65 - 2021-07-07326Pacifiques de la route3Wolves4WXSommaire du match
67 - 2021-07-09335Wolves3Mooses3TXSommaire du match
69 - 2021-07-11343Canadiens4Wolves5WXSommaire du match
70 - 2021-07-12352Wolves4Riverman2WSommaire du match
71 - 2021-07-13357Wolves5As3WSommaire du match
74 - 2021-07-16365Spoonman's3Wolves1LSommaire du match
75 - 2021-07-17375Riverman3Wolves5WSommaire du match
76 - 2021-07-18381Wolves4Snipers4TXSommaire du match
77 - 2021-07-19388Wolves4Banshees2WSommaire du match
79 - 2021-07-21397Ailes Rouges2Wolves6WSommaire du match
80 - 2021-07-22406Croque-Morts1Wolves6WSommaire du match
82 - 2021-07-24415Wolves3Canadiens0WSommaire du match
83 - 2021-07-25421Wolves4Riverman2WSommaire du match
84 - 2021-07-26426Wolves2Pacifiques de la route2TXSommaire du match
85 - 2021-07-27432Isotopes2Wolves3WSommaire du match
87 - 2021-07-29443Citadelles1Wolves7WSommaire du match
88 - 2021-07-30450Wolves3Citadelles2WSommaire du match
90 - 2021-08-01459Banshees2Wolves4WSommaire du match
91 - 2021-08-02466Wolves8Citadelles5WSommaire du match
92 - 2021-08-03473Wolves5Mooses3WSommaire du match
93 - 2021-08-04479Mooses4Wolves3LSommaire du match
95 - 2021-08-06490Ailes Rouges3Wolves5WSommaire du match
96 - 2021-08-07499Wolves1Chiefs3LSommaire du match
98 - 2021-08-09506Wolves6Spoonman's2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
99 - 2021-08-10514Spoonman's2Wolves1LSommaire du match
100 - 2021-08-11521Wolves1Isotopes3LSommaire du match
101 - 2021-08-12529Citadelles1Wolves2WSommaire du match
103 - 2021-08-14539Chiefs1Wolves4WSommaire du match
104 - 2021-08-15546Wolves3Ailes Rouges3TXSommaire du match
105 - 2021-08-16554Banshees3Wolves1LSommaire du match
106 - 2021-08-17564As2Wolves5WSommaire du match
107 - 2021-08-18574Wolves2Pacifiques de la route1WSommaire du match
108 - 2021-08-19579Wolves4Ailes Rouges4TXSommaire du match
109 - 2021-08-20581Wolves3Croque-Morts3TXSommaire du match
110 - 2021-08-21591Riverman3Wolves2LSommaire du match
112 - 2021-08-23602Isotopes2Wolves4WSommaire du match
114 - 2021-08-25612Wolves3Croque-Morts3TXSommaire du match
115 - 2021-08-26618Canadiens0Wolves3WSommaire du match
118 - 2021-08-29632Ailes Rouges3Wolves3TXSommaire du match
119 - 2021-08-30639Wolves3Mooses3TXSommaire du match
120 - 2021-08-31646Wolves4Pacifiques de la route3WSommaire du match
121 - 2021-09-01650Ailes Rouges5Wolves4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel 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 entraineurs
1,548,947$ 2,158,000$ 2,158,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,158,000$ 1,548,947$ 31 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 18,317$ 18,317$




TotalDomicileVisiteur
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