Connexion


Centre de jeu
Cyclones
35-22-6, 76pts
5
FINAL
2 Darkness
18-39-6, 42pts
Team Stats
L1StreakL2
20-9-1Home Record10-19-2
15-13-5Away Record8-20-4
5-3-2Last 10 Games2-8-0
2.90Buts par match 2.16
2.67Buts contre par match 3.10
17.60%Pourcentage en avantage numérique14.50%
84.33%Pourcentage en désavantage numérique86.10%
Darkness
18-39-6, 42pts
1
FINAL
2 National
43-20-3, 89pts
Team Stats
L2StreakW2
10-19-2Home Record25-5-1
8-20-4Away Record18-15-2
2-8-0Last 10 Games6-4-0
2.16Buts par match 3.41
3.10Buts contre par match 2.70
14.50%Pourcentage en avantage numérique21.14%
86.10%Pourcentage en désavantage numérique87.59%
Senators
31-22-8, 70pts
Jour 136
Darkness
18-39-6, 42pts
Stats Équipe
W1SéquenceL2
17-11-3Fiche domicile10-19-2
14-11-5Fiche visiteur8-20-4
5-3-210 derniers matchs2-8-0
2.93Buts par match 2.16
2.93Buts contre par match 3.10
16.61%Pourcentage en avantage numérique14.50%
81.78%Pourcentage en désavantage numérique86.10%
Darkness
18-39-6, 42pts
Jour 138
National
43-20-3, 89pts
Stats Équipe
L2SéquenceW2
10-19-2Fiche domicile25-5-1
8-20-4Fiche visiteur18-15-2
2-8-010 derniers matchs6-4-0
2.16Buts par match 3.41
3.10Buts contre par match 2.70
14.50%Pourcentage en avantage numérique21.14%
86.10%Pourcentage en désavantage numérique87.59%
Eagles
35-21-5, 75pts
Jour 140
Darkness
18-39-6, 42pts
Stats Équipe
W1SéquenceL2
17-11-3Fiche domicile10-19-2
18-10-2Fiche visiteur8-20-4
6-3-110 derniers matchs2-8-0
2.80Buts par match 2.16
2.69Buts contre par match 3.10
16.67%Pourcentage en avantage numérique14.50%
81.87%Pourcentage en désavantage numérique86.10%
Meneurs d'équipe
Avery HayesButs
Avery Hayes
24
David ReinbacherPasses
David Reinbacher
30
Avery HayesPoints
Avery Hayes
43
Lleyton MoorePlus/Moins
Lleyton Moore
0
Yaroslav AskarovVictoires
Yaroslav Askarov
34
Yaroslav AskarovPourcentage d’arrêts
Yaroslav Askarov
0.897

Stats Équipe
Buts pour
136
2.16 GFG
Tirs pour
1199
19.03 Avg
Pourcentage en avantage numérique
14.5%
38 GF
Début de zone offensive
36.7%
Buts contre
195
3.10 GAA
Tirs contre
1626
25.81 Avg
Pourcentage en désavantage numérique
86.1%
31 GA
Début de la zone défensive
41.8%
Information d’équipe
Directeur généralDaniel Pelchat
EntraîneurJeff Hackett
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro24
Équipe Mineure19
Limite contact 43 / 50
Espoirs57
Historique d'équipe
Saison actuelle18-39-6 (42PTS)
Historique829-713-162 (0.487%)
Apparitions séries éliminatoires 12
Historique séries éliminatoires (W-L)42-61
Stanley Cup0


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
1Juuso ParssinenX100.0082588277737276598257606240707175136302421,400,000$
2Benoit-Olivier GroulxX100.009350727864605057705856674072667024610253850,000$
3Garrett PilonX100.0058467278577767547065435940767760176002711,500,000$
4Nate Danielson (R)X100.006349818758807048705144649764729017600213925,000$
5Olle LycksellX100.005138888240745656406250634074746517590263875,000$
6Avery HayesX100.004340718145695954404661704068698017580232575,000$
7Ryder RolstonX100.005749867560726246404348694070717517570242575,000$
8Luke ToporowskiX100.005551777649625247404350684070667517550242575,000$
9Jaxsen WiebeX100.006463837566605028402037584068648017480232575,000$
10Caleb JonesX100.0072488175605550464055367040786755116002822,300,000$
11William TrudeauX100.005152747566726738403739704068708017600231925,000$
12David ReinbacherX100.006047707572555050404555654064609017590212925,000$
13Mason MillmanX100.006149847550565138403442704070637517570242575,000$
14Ronan SeeleyX100.007461897559736832402835544068718018570232575,000$
15Harrison Brunicke (R)X100.007468548169555033403630564060589917550193925,000$
Rayé
1Philippe DaoustX100.004441857561615142704539564070667519520242575,000$
2Gavin HainX100.005655787557605033702740554066638518490222575,000$
3Tyson HindsX100.006056787567757037403637514066718516570222925,000$
4Tyrel BauerX100.005570547577635826402330504068668016530232575,000$
5Xavier BouchardX100.006259757565555031403130504072647015530251900,000$
6Lleyton MooreX100.004344897543555037403538604068628020530232575,000$
MOYENNE D’ÉQUIPE 100.00615277776065574249424361436967771756
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 SPÂgeContratSalaire
1Louis Domingue100.007654609350505050505040886930335903321,000,000$
2Jack Campbell100.008150609350505050505040886930245903311,475,000$
Rayé
1Cal Petersen100.007758608650505050505099846740155803113,000,000$
MOYENNE D’ÉQUIPE100.0078546091505050505050608768332459
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeff Hackett66506353928756CAN571100,000$


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
1Avery HayesDarkness (Cal)RW63241943-15180311621735914313.87%26112717.90881642208000023236.07%6100000.7600000265
2Jared DavidsonFlamesLW61231740-25180471301584612514.56%14135822.2768143421720291764139.66%11600000.5914000921
3David ReinbacherDarkness (Cal)D6383038-125401225244133518.18%57132721.074913211930111153200.00%000000.5700000307
4Nate DanielsonDarkness (Cal)C6372936-2236012622610234666.86%19146123.2049131621203322012156.42%157400000.4926000043
5Olle LycksellDarkness (Cal)RW6392332-31803616211320957.96%8113918.081910252240001770028.74%8700000.5601000221
6Ryder RolstonDarkness (Cal)LW6316925-1320038101118358413.56%1283513.262027400001351240.85%7100000.6000000441
7Garrett PilonDarkness (Cal)LW4881523-15280991188618479.30%1096520.11347221610001840152.42%12400000.4802000410
8Philippe DaoustDarkness (Cal)C6131518-1560151374614326.52%6108017.7104421440002360059.27%106800000.3300000100
9Mason MillmanDarkness (Cal)D6341216-23180337031172212.90%77107016.990441087000062000.00%000000.3000000010
10William TrudeauDarkness (Cal)D5231114-1816060334313286.98%57115422.20134201660002138000.00%000000.2400000013
11Harrison BrunickeDarkness (Cal)D6331013-25720232471111027.27%38101916.18101339000062000.00%000000.2600000113
12Benoit-Olivier GroulxDarkness (Cal)C436511-124058474232414.29%23678.560111291011390058.39%27400000.6000000021
13Ronan SeeleyDarkness (Cal)D632911-26851513521223149.09%54133821.2523552010110155000.00%000000.1600102102
14Juuso ParssinenDarkness (Cal)C184610-172407047438279.30%442423.5921314630001440061.47%42300000.4704000003
15Luke ToporowskiDarkness (Cal)LW635510-26093132132315.63%93535.610113350000253037.84%3700000.5711000200
16Simon NemecFlamesD324610-580353027131914.81%4678424.533031497000148000.00%100000.2500000033
17Gavin HainDarkness (Cal)C58099-1880311083417350.00%479913.78000040001630058.45%71000000.2300000000
18Jaxsen WiebeDarkness (Cal)RW60358-124958428408157.50%586114.37000114000000136.17%4700000.1900100031
19Logan MaillouxFlamesD34167-233597291031910.00%2453715.810222180000310050.00%400000.2600001111
20Tyson HindsDarkness (Cal)D55336-2031566221891016.67%46119821.80202719000001540050.00%200000.1000010020
21Caleb JonesDarkness (Cal)D4101-3009630533.33%29022.59101316000010000.00%000000.2200000000
22Tyrel BauerDarkness (Cal)D8000000610000.00%3556.890000300005000.00%000000.0000000000
23Xavier BouchardDarkness (Cal)D12000-600622000.00%617814.8800014000019000.00%000000.0000000000
24Lleyton MooreDarkness (Cal)D1000000000000.00%066.420000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1114137244381-3265623014451610119834787811.44%5291953617.544066106253237435823162815856.03%459900000.39418213303335
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
1Yaroslav AskarovFlames48341220.8972.4629234312011700600.78323480212
2Jack CampbellDarkness (Cal)46152650.8852.9327242213311580230.73719460143
3Louis DomingueDarkness (Cal)70300.8623.5625300151090000.0000346001
Statistiques d’équipe totales ou en moyenne101494170.8902.7359016526824370830.762429746356


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Avery HayesDarkness (Cal)RW232002-10-10No175 Lbs5 ft10NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Benoit-Olivier GroulxDarkness (Cal)C252000-02-06No198 Lbs6 ft2NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$
UFA
Lien / Lien NHL
Cal PetersenDarkness (Cal)G311994-10-19No182 Lbs6 ft1NoNoYes1Pro & Farm3,000,000$0$0$No
UFA
Lien / Lien NHL
Caleb JonesDarkness (Cal)D281997-06-06No194 Lbs6 ft1NoNoYes2Pro & Farm2,300,000$0$0$No2,300,000$
UFA
Lien / Lien NHL
David ReinbacherDarkness (Cal)D212004-10-25No209 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Garrett PilonDarkness (Cal)LW271998-04-13No192 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Gavin HainDarkness (Cal)C222003-04-03No196 Lbs5 ft11NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Harrison BrunickeDarkness (Cal)D192006-05-08Yes203 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Jack CampbellDarkness (Cal)G331992-01-09No199 Lbs6 ft2NoNoNo1Pro & Farm1,475,000$0$0$No
UFA
Lien / Lien NHL
Jaxsen WiebeDarkness (Cal)RW232002-05-16No206 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Juuso ParssinenDarkness (Cal)C242001-02-01No212 Lbs6 ft3NoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$
RFA
Lien / Lien NHL
Lleyton MooreDarkness (Cal)D232002-02-27No179 Lbs5 ft8NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Louis DomingueDarkness (Cal)G331992-03-06No200 Lbs6 ft3NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
UFA
Lien / Lien NHL
Luke ToporowskiDarkness (Cal)LW242001-04-12No180 Lbs5 ft11NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Mason MillmanDarkness (Cal)D242001-07-18No174 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Nate DanielsonDarkness (Cal)C212004-09-27Yes190 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Olle LycksellDarkness (Cal)RW261999-08-24No163 Lbs5 ft10NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$
UFA
Lien / Lien NHL
Philippe DaoustDarkness (Cal)C242001-11-05No195 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Ronan SeeleyDarkness (Cal)D232002-08-02No192 Lbs6 ft1NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Ryder RolstonDarkness (Cal)LW242001-10-31No190 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Tyrel BauerDarkness (Cal)D232002-03-23No216 Lbs6 ft4NoNoNo2Pro & Farm575,000$0$0$No575,000$
RFA
Lien / Lien NHL
Tyson HindsDarkness (Cal)D222003-03-12No199 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
William TrudeauDarkness (Cal)D232002-10-11No205 Lbs6 ft1NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Xavier BouchardDarkness (Cal)D252000-02-28No198 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.63194 Lbs6 ft11.96986,458$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Garrett PilonJuuso ParssinenOlle Lycksell40122
2Ryder RolstonBenoit-Olivier GroulxAvery Hayes30122
3Luke ToporowskiNate DanielsonJaxsen Wiebe20122
4Benoit-Olivier GroulxJuuso ParssinenNate Danielson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauCaleb Jones40122
2David ReinbacherRonan Seeley30122
3Mason MillmanHarrison Brunicke20122
4William TrudeauCaleb Jones10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Garrett PilonJuuso ParssinenOlle Lycksell60122
2Ryder RolstonBenoit-Olivier GroulxAvery Hayes40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauCaleb Jones60122
2David ReinbacherRonan Seeley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenBenoit-Olivier Groulx60122
2Nate DanielsonGarrett Pilon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauCaleb Jones60122
2David ReinbacherRonan Seeley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Juuso Parssinen60122William TrudeauCaleb Jones60122
2Benoit-Olivier Groulx40122David ReinbacherRonan Seeley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Juuso ParssinenBenoit-Olivier Groulx60122
2Nate DanielsonGarrett Pilon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William TrudeauCaleb Jones60122
2David ReinbacherRonan Seeley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Garrett PilonJuuso ParssinenOlle LycksellWilliam TrudeauCaleb Jones
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Garrett PilonJuuso ParssinenOlle LycksellWilliam TrudeauCaleb Jones
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Luke Toporowski, Jaxsen Wiebe, Olle LycksellLuke Toporowski, Jaxsen WiebeOlle Lycksell
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Millman, Harrison Brunicke, David ReinbacherMason MillmanHarrison Brunicke, David Reinbacher
Tirs de pénalité
Juuso Parssinen, Benoit-Olivier Groulx, Nate Danielson, Garrett Pilon, Olle Lycksell
Gardien
#1 : Jack Campbell, #2 : Louis Domingue


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
1Bandits2020000037-41010000014-31010000023-100.00036900524234102538738440344751316424125.00%80100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
2BaronsOKC1010000014-3000000000001010000014-300.000123005242341022387384403442361016600.00%5260.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
3BigBadStars615000001421-73120000088030300000613-720.167142539105242341013738738440344190664016834617.65%18194.44%0896159556.18%1003181655.23%55493159.51%153110681502463793395
4Checkers1010000023-1000000000001010000023-100.000235005242341017387384403441731020800.00%40100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
5Cyclones1010000025-31010000025-30000000000000.00024600524234101338738440344236822200.00%4250.00%1896159556.18%1003181655.23%55493159.51%153110681502463793395
6Draveurs1010000015-4000000000001010000015-400.00012300524234102238738440344268218400.00%10100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
7Eagles1010000001-11010000001-10000000000000.000000005242341014387384403442361217100.00%6183.33%0896159556.18%1003181655.23%55493159.51%153110681502463793395
8EvilSharks2020000036-31010000023-11010000013-200.00036900524234103038738440344361315291119.09%50100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
9Griffins51101011151413110100010912000001155070.700152439015242341010038738440344933336952229.09%15286.67%0896159556.18%1003181655.23%55493159.51%153110681502463793395
10HC1010000025-3000000000001010000025-300.000246005242341016387384403444311925400.00%20100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
11IceBears10001000431000000000001000100043121.00048120052423410333873844034429108288225.00%30100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
12IceHawks1000010012-11000010012-10000000000010.5001230052423410193873844034420116114125.00%10100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
13IceHogs1010000035-2000000000001010000035-200.0003690052423410253873844034434681822100.00%4175.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
14Iceberg1010000045-11010000045-10000000000000.00046100052423410163873844034437118176233.33%30100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
15Magics11000000321110000003210000000000021.000369005242341015387384403442336235120.00%30100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
16Mighty Ducks1010000002-21010000002-20000000000000.00000000524234101838738440344277622400.00%3166.67%0896159556.18%1003181655.23%55493159.51%153110681502463793395
17National50300110814-63020001059-42010010035-230.3008132100524234109738738440344120305412416425.00%25484.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
18Nordiques1010000023-1000000000001010000023-100.0002350052423410193873844034420712233133.33%6183.33%0896159556.18%1003181655.23%55493159.51%153110681502463793395
19Oceanic513010001011-13120000034-12010100077040.4001017270052423410923873844034412036281061417.14%13192.31%0896159556.18%1003181655.23%55493159.51%153110681502463793395
20Pantheres20100100713-61000010045-11010000038-510.25071118005242341052387384403446515245014214.29%12375.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
21Remparts11000000422000000000001100000042221.000471100524234102138738440344365626300.00%30100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
22Roadrunners20101000660000000000002010100066020.500612180052423410293873844034448131232400.00%6183.33%0896159556.18%1003181655.23%55493159.51%153110681502463793395
23Sagueneens51200002910-12020000025-33100000275240.4009162501524234108138738440344113272811825312.00%130100.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
24Senators4220000078-1211000003302110000045-140.50071219105242341075387384403446814268812216.67%11190.91%1896159556.18%1003181655.23%55493159.51%153110681502463793395
25Spiders623000101822-4311000101010031200000812-460.500183048105242341012938738440344161665113230620.00%22577.27%1896159556.18%1003181655.23%55493159.51%153110681502463793395
26Thunder2010100046-2100010003211010000014-320.500471100524234104038738440344851842318112.50%11372.73%0896159556.18%1003181655.23%55493159.51%153110681502463793395
27WolfPack1010000013-21010000013-20000000000000.000123005242341016387384403441881024100.00%5180.00%0896159556.18%1003181655.23%55493159.51%153110681502463793395
28Wolves2020000027-51010000015-41010000012-100.0002350052423410263873844034453162228700.00%11190.91%0896159556.18%1003181655.23%55493159.51%153110681502463793395
Total63103905333136195-5931619022206387-24324200311373108-35420.3331362373733252423410119938738440344162646851513532623814.50%2233186.10%3896159556.18%1003181655.23%55493159.51%153110681502463793395
_Since Last GM Reset63103905333136195-5931619022206387-24324200311373108-35420.3331362373733252423410119938738440344162646851513532623814.50%2233186.10%3896159556.18%1003181655.23%55493159.51%153110681502463793395
_Vs Conference4792603333104141-3725613022205567-1222313011134974-25360.383104178282325242341091838738440344118135438610212043215.69%1642286.59%2896159556.18%1003181655.23%55493159.51%153110681502463793395
_Vs Division17718022313858-20959011202230-8829011111628-12270.7943864102105242341032338738440344435146159374711419.72%681183.82%1896159556.18%1003181655.23%55493159.51%153110681502463793395

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6342L213623737311991626468515135332
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6310395333136195
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3161922206387
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
32420311373108
Derniers 10 matchs
WLOTWOTL SOWSOL
181000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2623814.50%2233186.10%3
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
3873844034452423410
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
896159556.18%1003181655.23%55493159.51%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
153110681502463793395


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
210BigBadStars3Darkness1BLSommaire du match
638Sagueneens3Darkness1BLSommaire du match
748Darkness2National3ALXSommaire du match
1169Senators2Darkness1BLSommaire du match
1384Darkness3Pantheres8ALSommaire du match
1593Darkness1Griffins0AWXXSommaire du match
17106National2Darkness3BWXXSommaire du match
20127BigBadStars4Darkness2BLSommaire du match
22145Darkness4BigBadStars5ALSommaire du match
23154Darkness4Senators3AWSommaire du match
26169Griffins4Darkness0BLSommaire du match
28184Darkness3Spiders5ALSommaire du match
30197Spiders4Darkness5BWXXSommaire du match
33219Darkness1Sagueneens2ALXXSommaire du match
34231National4Darkness2BLSommaire du match
37248Darkness3Oceanic4ALSommaire du match
38259Spiders3Darkness4BWSommaire du match
40276Darkness1BigBadStars4ALSommaire du match
42289Darkness1EvilSharks3ALSommaire du match
44299Eagles1Darkness0BLSommaire du match
47321Sagueneens2Darkness1BLSommaire du match
50347Iceberg5Darkness4BLSommaire du match
53367Darkness2Bandits3ALSommaire du match
55377BigBadStars1Darkness5BWSommaire du match
57394Darkness1BigBadStars4ALSommaire du match
58402Darkness2Spiders5ALSommaire du match
59416Wolves5Darkness1BLSommaire du match
62437Senators1Darkness2BWSommaire du match
64452Darkness2Sagueneens3ALXXSommaire du match
66467Darkness4Griffins5ALXXSommaire du match
67476Griffins3Darkness4BWXSommaire du match
69489Darkness3Spiders2AWSommaire du match
72510Oceanic1Darkness0BLSommaire du match
73516Darkness0Senators2ALSommaire du match
76538Oceanic1Darkness2BWSommaire du match
77553Darkness3Roadrunners2AWXSommaire du match
80569Mighty Ducks2Darkness0BLSommaire du match
82588Darkness2HC5ALSommaire du match
84602Pantheres5Darkness4BLXSommaire du match
85615Darkness4IceBears3AWXSommaire du match
88631Darkness4Sagueneens0AWSommaire du match
89642Spiders3Darkness1BLSommaire du match
91658Darkness4Oceanic3AWXSommaire du match
93670EvilSharks3Darkness2BLSommaire du match
96691Bandits4Darkness1BLSommaire du match
98706Darkness1Draveurs5ALSommaire du match
100716Darkness4Remparts2AWSommaire du match
102728Oceanic2Darkness1BLSommaire du match
105749Darkness1Thunder4ALSommaire du match
107764IceHawks2Darkness1BLXSommaire du match
109776Darkness1BaronsOKC4ALSommaire du match
111792Griffins2Darkness6BWSommaire du match
113805Darkness1Wolves2ALSommaire du match
115824Darkness3IceHogs5ALSommaire du match
116829Darkness3Roadrunners4ALSommaire du match
117836WolfPack3Darkness1BLSommaire du match
121862National3Darkness0BLSommaire du match
123877Darkness2Nordiques3ALSommaire du match
125891Magics2Darkness3BWSommaire du match
127909Darkness2Checkers3ALSommaire du match
129922Thunder2Darkness3BWXSommaire du match
132947Cyclones5Darkness2BLSommaire du match
133959Darkness1National2ALSommaire du match
136979Senators-Darkness-
138992Darkness-National-
1401011Eagles-Darkness-
1411017Darkness-Magics-
1441040Mighty Ducks-Darkness-
1461055Darkness-Pantheres-
1471060Darkness-Griffins-
1491078SilverKnights-Darkness-
1521094Darkness-Senators-
1541108Pantheres-Darkness-
1551115Darkness-IceHawks-
1581138Darkness-Mighty Ducks-
1591145Sagueneens-Darkness-
1621168Pantheres-Darkness-
1641180Darkness-Pantheres-
1671201Darkness-Oceanic-
1681209IceHogs-Darkness-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721233Vikings-Darkness-
1781262BigBadStars-Darkness-



Darkness Leaders statistiques (saison régulière)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Alexei Tereschenko13342634026657992817791772237011.10%8072173116.2954911452547101768411752.28%70.61529
2Denis Parshin551202198400-671294551012175511.51%1581157021.00446711128281951261335.58%30.691339
3Jori Lehtera1621091212301418032350770115.55%100403324.902936651101341911758.62%31.14517
4Luca Caputi38365115180-8624546362163810.19%69649816.9712354711211298640.97%20.5517
5Craig MacDonald3266494158-1762885996829.38%78567717.421119301050221111841.90%00.561026

Darkness Leaders des statistiques des gardiens (saison régulière)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Yann Danis342158143340.9032.53202456724852876722141460.741158
2Christopher Gibson82472960.9002.4849306620420460110.80025
3Jamie Storr83443170.9053.0049660124826171173400.63027
4Magnus Hellberg81432990.8892.6748402821519400230.78323
5Carter Hutton1174260120.8962.5468924629228180200.71964

Darkness Statistiques de l'Équipe de Carrière
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
Saison régulière
20178240310212627625422412213011131391162341181801013137138-18527646173701064104104264408049438772617937107919022705821.48%2575279.77%7976180953.95%1024199151.43%714139251.29%164083118538821652822
201882165103534247356-1094172701321122182-604192402213125174-4943247399646100521058425320639998878280189887317031984020.20%2256073.33%3911177051.47%891164654.13%748140653.20%158578816868021695864
201981273607461261273-1241151803140151148340121804321110125-1572261409670440719285249306998678662442802111017272015326.37%2346074.36%5916186349.17%916183749.86%604116551.85%157777416268151719849
202082313204546232243-1141161903111125133-841151301435107110-375232362594120409985228205439277882474789141915952296327.51%2175475.12%5889177850.00%914189448.26%576112851.06%153571316908331758888
202182363600235153164-114123150020186806411321000346784-1774153273426010042604816450594516527182548196419243824812.57%4194489.50%41201233651.41%1175248547.28%564111850.45%1856124420766331034503
202281303302367166178-12401614011357983-4411419012328795-867166280446180645638158105395414761807525103017383563910.96%4165487.02%51124219251.28%1169244347.85%587111552.65%1823123120926291017486
202382204104179149196-47411322030217891-13417190115871105-3449149259408150484842149104744944911844515109219504295613.05%4505687.56%11279223457.25%1361247155.08%699116659.95%2005136119636241045531
202482204802237147226-794111200212582107-25419280011265119-5459147258405030525139136204604474402025599113821543565314.89%4707584.04%41092207152.73%1230255748.10%611115852.76%1935130320156171034513
202582343604143253256-341181702022133133041161902121120123-38825346271534098747324020784810774211565384119963435516.03%3416281.82%31460265455.01%1271247151.44%685125854.45%200914501992574965472
202682343407205275282-741201801002138142-441141606203137140-389275520795110107887328210935937909224458796620803555615.77%3647280.22%51247286443.54%1110260042.69%565129243.73%180512752193617968449
202782323106337287301-1441151505114137147-1041171601223150154-492287535822200116798329320964945975253067885321873867318.91%3626781.49%21328294645.08%1179273743.08%566134542.08%184313032177603963449
2030823632041362812562541171801104141130114119140303214012614932815167971301069375298709361029981226163280320253975714.36%3526581.53%41312292944.79%1158263443.96%556126344.02%185913192152606965454
203182402901426299262374121130020515313221411916012211461301696299569868110941049828420908935951211559485719963506017.14%3415384.46%21300279946.45%1092245044.57%601131245.81%180312752195608971452
2032824329002442172107412580023311993264118210001198117-1910021737258915072786319230625632645205662986219483124313.78%3684986.68%41061228346.47%1173258845.32%553118646.63%1824125121256101015486
20338238310046330727334412314000221641263841151700441143147-495307578885110112107823058010131016998257971584422403013912.96%3536182.72%41226283243.29%1232274344.91%564132042.73%184713172162585961452
20348234310235731029911411913013231591421741151801034151157-6923105909000301129110029820993961992264776280721733395014.75%3496681.09%61231285743.09%1233277444.45%596138742.97%186813342157587962456
2035824629041113232675641251302100171128434121160201115213913104323616939040126911013021099010031006241163676121733376218.40%3274985.02%41286287144.79%1205259146.51%641135847.20%189713622088579958459
203680442703222334277574026110100217413638401816022201601411910233463596913013411085295401004969963265273779720823506618.86%3526182.67%61230275144.71%1192273243.63%611131146.61%179812872119570916433
2037823930015342342268412113011231231051841181700411111121-1095234420654387383745197861468067333199960289119493586117.04%3846583.07%31193235850.59%1191236950.27%596120449.50%2013140619485901004511
2038784027042413092684139201203121169135343920150112014013379930957888721971031018265286490586035230468975820683215918.38%3375184.87%11263260248.54%1127242046.57%601128346.84%175312462066555902424
203963103905333136195-5931619022206387-24324200311373108-35421362373733252423410119938738440344162646851513532623814.50%2233186.10%3896159556.18%1003181655.23%55493159.51%153110681502463793395
Total Saison régulière169569071306556749751965262-668473793320332431482706257613084831138103232434924902686-196171151969329145252769222173817391381497811865158731690614649473741392819260409636832112916.53%7141120783.10%81244215039448.46%238465024947.46%127922609849.02%378152514841889133922330611355
Séries éliminatoires
20172314900000846717117400000413291275000004335828841342180001833317210206279227795253395530811822.22%861977.91%030756154.72%31962850.80%22741654.57%45522423421109460231
202540400000716-92020000057-22020000029-70713200003131190293627120296011820210.00%24579.17%06215440.26%5314137.59%316746.27%11077138376027
202640400000413-92020000026-42020000027-5048120002021320502747822128892613.85%13469.23%07415846.84%3710734.58%204544.44%8763113304620
202740400000714-72020000027-52020000057-20714210004121080293130153436310712216.67%25388.00%03513026.92%6016336.81%186428.13%8254144365622
2031624000001723-631200000611-5312000001112-141734510009522210747965215675415829517.24%25580.00%013823558.72%9220544.88%428748.28%13796156416832
2032514000001617-12110000097230300000710-32163046000853155041525214331341431915.26%16287.50%08916753.29%9318051.67%428251.22%12386145426932
203340400000819-112020000048-420200000411-708162400033215304146661664334981417.14%17194.12%06811559.13%6714645.89%366258.06%9572104234019
203473400000282803120000013112422000001517-2628558301098112510787489199537518734514.71%31583.87%07823233.62%8023933.47%4312634.13%146103204558539
2035514000001927-821100000910-1303000001017-721935540006582040637170223644214217423.53%18383.33%18818647.31%10119152.88%369438.30%11483130325526
2036117400000514565410000024159633000002730-3145199150000221413478014915814440110310627944818.18%461078.26%122441853.59%18238247.64%9420545.85%2611912987612561
203740400000716-92020000059-42020000027-507132000313073232326110631481072514.00%18572.22%04311039.09%4513234.09%256538.46%8859111335225
203826141200000101107-61266000004551-61486000005656028101194295003931256952315293299458902382616821011514.85%1182083.05%342088347.57%41492344.85%22446947.76%603430719190311146
Total Séries éliminatoires103426100000349392-4348212700000165174-955213400000184218-34843496459940142116103833567338107611788633493976120026404226314.93%4378281.24%51626334948.55%1543343744.89%838178247.03%23061544460917091432684

Darkness Leaders statistiques (séries éliminatoires)
# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Alexei Tereschenko414841342188739553060772111.65%253684416.531830481070001714653.15%00.6400
2Laurent Dauphin30358-13163060358.57%42829.41000000000063.00%00.5700
3William Dufour30167-1221120147.14%12869.54000000000040.00%00.4900
4Radek Smolenak5066021014120.00%011823.77000100000050.00%01.0100
5Kirill Gotovets51451220151010.00%311623.2500050000000.00%00.8600

Darkness Leaders des statistiques des gardiens (séries éliminatoires)
# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Yann Danis2314810.9162.8714012067795343200.0000
2Christopher Gibson51220.8813.0333720171430000.0000
3Magnus Hellberg40310.8493.8125200161060000.0000