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Connexion

Spiders
GP: 27 | W: 18 | L: 5 | OTL: 4 | P: 40
GF: 147 | GA: 111 | PP%: 26.44% | PK%: 63.79%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 59
Prochains matchs #436 vs Las Vegas

Centre de jeu
Monsters
15-11-1, 31pts
5
FINAL
3 Spiders
18-5-4, 40pts
Team Stats
W2SéquenceL2
6-6-0Fiche domicile9-2-2
9-5-1Fiche domicile9-3-2
6-4-0Derniers 10 matchs6-4-0
4.26Buts par match 5.44
3.59Buts contre par match 4.11
25.68%Pourcentage en avantage numérique26.44%
78.67%Pourcentage en désavantage numérique63.79%
Stars
20-6-2, 42pts
6
FINAL
1 Spiders
18-5-4, 40pts
Team Stats
W5SéquenceL2
9-3-1Fiche domicile9-2-2
11-3-1Fiche domicile9-3-2
6-3-1Derniers 10 matchs6-4-0
5.14Buts par match 5.44
3.25Buts contre par match 4.11
70.89%Pourcentage en avantage numérique26.44%
71.83%Pourcentage en désavantage numérique63.79%
Las Vegas
8-16-2, 18pts
2025-12-05
Spiders
18-5-4, 40pts
Statistiques d’équipe
W2SéquenceL2
4-9-2Fiche domicile9-2-2
4-7-0Fiche visiteur9-3-2
4-6-010 derniers matchs6-4-0
4.04Buts par match 5.44
5.04Buts contre par match 5.44
29.63%Pourcentage en avantage numérique26.44%
54.95%Pourcentage en désavantage numérique63.79%
Spiders
18-5-4, 40pts
2025-12-06
Bruins
18-10-1, 37pts
Statistiques d’équipe
L2SéquenceL1
9-2-2Fiche domicile10-5-0
9-3-2Fiche visiteur8-5-1
6-4-010 derniers matchs5-4-1
5.44Buts par match 4.14
4.11Buts contre par match 4.14
26.44%Pourcentage en avantage numérique41.03%
63.79%Pourcentage en désavantage numérique70.42%
Spiders
18-5-4, 40pts
2025-12-09
Senators
10-16-1, 21pts
Statistiques d’équipe
L2SéquenceL1
9-2-2Fiche domicile3-9-0
9-3-2Fiche visiteur7-7-1
6-4-010 derniers matchs4-5-1
5.44Buts par match 3.63
4.11Buts contre par match 3.63
26.44%Pourcentage en avantage numérique34.33%
63.79%Pourcentage en désavantage numérique56.67%
Meneurs d'équipe
Buts
Mackie Samoskevich
39
Passes
Adam Ruzicka
40
Points
Mackie Samoskevich
72
Plus/Moins
Mackie Samoskevich
36
Victoires
Nikita Tolopilo
13
Pourcentage d’arrêts
Nikita Tolopilo
0.851

Statistiques d’équipe
Buts pour
147
5.44 GFG
Tirs pour
934
34.59 Avg
Pourcentage en avantage numérique
26.4%
23 GF
Début de zone offensive
35.1%
Buts contre
111
4.11 GAA
Tirs contre
722
26.74 Avg
Pourcentage en désavantage numérique
63.8%%
21 GA
Début de la zone défensive
32.0%
Informations de l'équipe

Directeur généralSimon Bouchard
DivisionNord-Est
ConférenceEst
CapitaineMark Friedman
Assistant #1Jake Leschyshyn
Assistant #2Rhett Gardner


Informations de l’aréna

Capacité3,000
Assistance2,654
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure19
Limite contact 46 / 50
Espoirs18


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
1Mackie Samoskevich (R)X100.00724184797275717542717066755550050690212925,000$
2Adam RuzickaXX100.0060448470887570677163596566635405065N0251620,000$
3Rafaël Harvey-PinardXXX100.00614178706673676344625763646050050620251900,000$
4Jack Williams (R)X100.0056406969717359624659596264515005061N0225720,000$
5Martin Chromiak (R)X100.00604172666364626444615955635050050600221820,000$
6Aydar Suniev (R)X100.00564069677576596240595959635150050600193923,333$
7Rhett Gardner (A)X100.00614961596870696159595356585952050590281950,000$
8Nathan Gaucher (R)X100.00665060636862606057585560595050050590202886,667$
9Jake Leschyshyn (R) (A)X100.00564369646468666146565652605850050580251825,000$
10Yegor Sidorov (R)X100.00554168626061606242605854615050050580203865,000$
11Taylor Makar (R)X100.00624062586560585540535456555150050560233925,000$
12Mason Lohrei (R)X100.00654286738784727540736772725550050710231925,000$
13Nick DeSimoneX100.0058407873768366684065636868595005067N0292620,000$
14Mark Friedman (C)X100.00634472696674696440615769637556050650281900,000$
15William Wallinder (R)X100.00634173656663626240605463605050050610222925,000$
16Luke Krys (R)X100.0062426865636462604057546560525005060N0241700,000$
17Santeri Hatakka (R)X100.00604268676462595740545363595250050590231850,833$
Rayé
1Michael Milne (R)X100.00564367656362606243565652615050050570221861,667$
2James Malatesta (R)X100.00564562656162596142545553605050050570212841,667$
3Sam Lipkin (R)X100.00594166616262615941545654585050050560213851,667$
4Maxim Cajkovic (R)X100.00554262586052515139474751525150050510231850,833$
5Oskar Jellvik (R)X100.00373737373737373737373737373737050380213620,000$
6Ryan Mast (R)X100.00684170607260575640525165565050050590212830,556$
MOYENNE D’ÉQUIPE100.0059426965676662614458565961535005059
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
1Nikita Tolopilo (R)100.0070656974717172697170595250050640242950,000$
2Sergei Murashov (R)100.0068585760636568666663575050050580203861,110$
Rayé
1Vyacheslav Peksa (R)100.0059575762595656545658545050050530223851,667$
2Jakub Malek (R)100.0043434343434343434343434343050410223867,500$
MOYENNE D’ÉQUIPE100.006056576059596058595953494805054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Mackie SamoskevichSpiders (Har)RW2739337236955825153408425.49%853019.6395142269000146243.59%393913152.72120011161
2Adam RuzickaSpiders (Har)C/LW271540553595304577254419.48%1355020.37111128690000101058.93%6721019022.0012001451
3Rafaël Harvey-PinardSpiders (Har)C/LW/RW2715203533155612664213423.44%1152819.59347569000035241.46%411210001.3200001146
4Jack WilliamsSpiders (Har)RW27151631260453562224724.19%1245516.86426653000001154.55%22279011.3600000212
5Aydar SunievSpiders (Har)LW27181129440382377163623.38%1245216.77235553000022152.38%211112001.2800000212
6Nick DeSimoneSpiders (Har)D2752328199522396621227.58%2465524.26123771000240110%01735100.8500010101
7Nathan GaucherSpiders (Har)C277132010160573445132215.56%1145016.670111141011260161.06%30368000.8900000013
8Mason LohreiSpiders (Har)D1511718112013285619281.79%1937625.13134745000023000%01313000.9600000100
9Martin ChromiakSpiders (Har)RW2712517140282680234015.00%842715.82000250000110026.09%23208010.8011000023
10Rhett GardnerSpiders (Har)C275914-431536244182612.20%836613.57033141000080054.89%23578000.7600010001
11Luke KrysSpiders (Har)D27189395252914297.14%2445216.7610118011135000%1319000.4000001000
12William WallinderSpiders (Har)D27099714019272413140%2455020.4000015200009000%0623000.3300000000
13Yegor SidorovSpiders (Har)RW15459-30020640132410.00%419212.81000020002250066.67%662000.9400000020
14Jake LeschyshynSpiders (Har)C27347-9402720357248.57%731711.75000010001340059.85%13746000.4400000001
15Mark FriedmanSpiders (Har)D27257315532243814125.26%2857221.20123457000035000%0937000.2400001000
16Ryan MastSpiders (Har)D120551880111213320%1124120.13000119000010000%0311000.4100000000
17Santeri HatakkaSpiders (Har)D27123400111919345.26%1540915.160000300009100%0023000.1500000000
18Michael MilneSpiders (Har)LW1212324075122158.33%113511.2900000000050060.00%522000.4400000000
19James MalatestaSpiders (Har)LW12202-4558762533.33%01068.87000000000110033.33%612000.3800001000
20Taylor MakarSpiders (Har)LW150221100257116120%419813.2100002000021000%504000.2000000000
Statistiques d’équipe totales ou en moyenne4591462293751691744057346193327350415.65%244796817.3623365971641112832917856.99%1516196264290.9435026222221
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
1Nikita TolopiloSpiders (Har)2013230.8513.8411872176511229000.5004207010
2Sergei MurashovSpiders (Har)95310.8394.5644700342111090000720000
Statistiques d’équipe totales ou en moyenne2918540.8484.041635211107223380042727010


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam Ruzicka (contrat à 1 volet)Spiders (Har)C/LW251999-05-11SVKNo215 Lbs6 ft4YesNoFree AgentYesYes12025-09-21FalseFalsePro & Farm620,000$0$0$No---------------------------Lien
Aydar SunievSpiders (Har)LW192004-11-16RUSYes198 Lbs6 ft2NoNoDraftNoNo32025-07-10FalseFalsePro & Farm923,333$0$0$No923,333$923,333$-------923,333$923,333$-------NoNo-------Lien
Jack Williams (contrat à 1 volet)Spiders (Har)RW222002-03-02USAYes185 Lbs5 ft11YesNoFree AgentNoNo52025-09-14FalseFalsePro & Farm720,000$0$0$No720,000$720,000$720,000$720,000$-----720,000$720,000$720,000$720,000$-----NoNoNoNo-----Lien
Jake LeschyshynSpiders (Har)C251999-03-10CANYes190 Lbs5 ft11NoNoFree AgentYesYes12025-08-28FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Jakub MalekSpiders (Har)G222002-04-11TCHYes189 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm867,500$0$0$No867,500$867,500$-------867,500$867,500$-------NoNo-------Lien
James MalatestaSpiders (Har)LW212003-05-31CANYes179 Lbs5 ft9NoNoTrade2024-07-02NoNo22024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Lien
Luke Krys (contrat à 1 volet)Spiders (Har)D242000-09-27USAYes185 Lbs6 ft2YesNoFree AgentNoYes12025-09-28FalseFalsePro & Farm700,000$0$0$No---------870,000$-----------------Lien
Mackie SamoskevichSpiders (Har)RW212002-11-15USAYes180 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Mark FriedmanSpiders (Har)D281995-12-25CANNo185 Lbs5 ft11NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Martin ChromiakSpiders (Har)RW222002-08-20SLVYes187 Lbs6 ft0NoNoTrade2024-01-20NoNo1FalseFalsePro & Farm820,000$0$0$No---------------------------Lien
Mason LohreiSpiders (Har)D232001-01-17USAYes220 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Maxim CajkovicSpiders (Har)RW232001-01-03SLVYes201 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Michael MilneSpiders (Har)LW222002-09-21CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm861,667$0$0$No---------------------------Lien
Nathan GaucherSpiders (Har)C202003-11-06CANYes207 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm886,667$0$0$No886,667$--------886,667$--------No--------Lien
Nick DeSimone (contrat à 1 volet)Spiders (Har)D291994-11-21USANo194 Lbs6 ft2YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Lien
Nikita TolopiloSpiders (Har)G242000-06-04BELYes229 Lbs6 ft6NoNoDraftNoYes22024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Oskar JellvikSpiders (Har)LW212003-02-08SWEYes174 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Lien
Rafaël Harvey-Pinard (contrat à 1 volet)Spiders (Har)C/LW/RW251999-01-06CANNo183 Lbs5 ft9NoNoFree AgentYesYes12024-10-02FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Rhett Gardner (contrat à 1 volet)Spiders (Har)C281996-02-28CANNo209 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm950,000$30,000$20,829$No---------------------------Lien
Ryan MastSpiders (Har)D212003-01-14USAYes220 Lbs6 ft5NoNoProspectNoNo22024-06-25FalseFalsePro & Farm830,556$0$0$No830,556$--------830,556$--------No--------Lien
Sam LipkinSpiders (Har)LW212003-01-03USAYes192 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm851,667$0$0$No851,667$851,667$-------851,667$851,667$-------NoNo-------Lien
Santeri HatakkaSpiders (Har)D232001-01-15FINYes192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm850,833$0$0$No---------------------------Lien
Sergei MurashovSpiders (Har)G202004-04-01RUSYes172 Lbs6 ft2NoNoProspectNoNo32025-07-10FalseFalsePro & Farm861,110$0$0$No861,110$861,110$-------861,110$861,110$-------NoNo-------Lien
Taylor MakarSpiders (Har)LW232001-03-13CANYes209 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Vyacheslav PeksaSpiders (Har)G222002-08-27RUSYes181 Lbs6 ft3NoNoDraftNoNo32025-07-10FalseFalsePro & Farm851,667$0$0$No851,667$851,667$-------851,667$851,667$-------NoNo-------Lien
William WallinderSpiders (Har)D222002-07-28SWEYes192 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Yegor SidorovSpiders (Har)RW202004-06-18BELYes176 Lbs6 ft0NoNoDraftNoNo32025-07-10FalseFalsePro & Farm865,000$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2722.81194 Lbs6 ft12.00839,537$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rafaël Harvey-PinardAdam RuzickaMackie Samoskevich35014
2Aydar SunievNathan GaucherJack Williams30113
3Taylor MakarRhett GardnerMartin Chromiak20122
4Jake LeschyshynYegor Sidorov15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiWilliam Wallinder36014
2Mark FriedmanNick DeSimone34122
3Luke KrysSanteri Hatakka25131
4Mason LohreiNick DeSimone5014
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rafaël Harvey-PinardAdam RuzickaMackie Samoskevich60014
2Aydar SunievNathan GaucherJack Williams40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiNick DeSimone60014
2Mark FriedmanWilliam Wallinder40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rhett GardnerTaylor Makar50140
2Jake LeschyshynYegor Sidorov50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiLuke Krys50140
2Mark FriedmanNick DeSimone50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Gaucher50140Santeri HatakkaMason Lohrei50140
2Jake Leschyshyn50140Mark FriedmanNick DeSimone50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Mackie SamoskevichAdam Ruzicka60014
2Rafaël Harvey-PinardJack Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiWilliam Wallinder60023
2Santeri HatakkaNick DeSimone40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafaël Harvey-PinardAdam RuzickaMackie SamoskevichMason LohreiNick DeSimone
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafaël Harvey-PinardAdam RuzickaMackie SamoskevichMason LohreiNick DeSimone
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackie Samoskevich, Nathan Gaucher, Jake LeschyshynYegor Sidorov, Taylor MakarMartin Chromiak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Friedman, Santeri Hatakka, Luke KrysLuke KrysSanteri Hatakka, William Wallinder
Tirs de pénalité
Mackie Samoskevich, Adam Ruzicka, Rafaël Harvey-Pinard, Jack Williams, Aydar Suniev
Gardien
#1 : Sergei Murashov, #2 : Nikita Tolopilo


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
1Admirals11000000514000000000001100000051421.000571200335755341219372333141496252150.00%3166.67%030253256.77%28248558.14%28049956.11%576317554236504266
2Baby Hawks11000000321000000000001100000032121.000358003357553322193723331429154232150.00%20100.00%030253256.77%28248558.14%28049956.11%576317554236504266
3Bears11000000642000000000001100000064221.0006101600335755332219372333143113616200.00%30100.00%030253256.77%28248558.14%28049956.11%576317554236504266
4Cabaret Lady Mary Ann2100000114951000000156-11100000093630.750142438003357553752193723331451910387114.29%5340.00%030253256.77%28248558.14%28049956.11%576317554236504266
5Caroline11000000422000000000001100000042221.000461000335755339219372333141786185120.00%30100.00%030253256.77%28248558.14%28049956.11%576317554236504266
6Chiefs11000000752110000007520000000000021.0007111800335755345219372333143476243133.33%3233.33%030253256.77%28248558.14%28049956.11%576317554236504266
7Cougars11000000909110000009090000000000021.0009142301335755343219372333141799452150.00%20100.00%030253256.77%28248558.14%28049956.11%576317554236504266
8Crunch11000000743000000000001100000074321.0007815003357553262193723331420102156466.67%10100.00%030253256.77%28248558.14%28049956.11%576317554236504266
9Manchots11000000413110000004130000000000021.0004590033575533221937233314288627200.00%3166.67%130253256.77%28248558.14%28049956.11%576317554236504266
10Marlies1000010056-1000000000001000010056-110.500571200335755339219372333142292214125.00%110.00%030253256.77%28248558.14%28049956.11%576317554236504266
11Minnesota11000000844110000008440000000000021.0008101800335755329219372333142362157114.29%10100.00%030253256.77%28248558.14%28049956.11%576317554236504266
12Monarchs11000000734000000000001100000073421.00071118003357553332193723331423421133100.00%10100.00%030253256.77%28248558.14%28049956.11%576317554236504266
13Monsters20200000814-61010000035-21010000059-400.00081220003357553732193723331459186243500.00%6183.33%030253256.77%28248558.14%28049956.11%576317554236504266
14Monsters210000101183110000005321000001065141.00011172800335755359219372333146531439700.00%2150.00%030253256.77%28248558.14%28049956.11%576317554236504266
15Oil Kings10001000651100010006510000000000021.0006101600335755341219372333142375302150.00%000%030253256.77%28248558.14%28049956.11%576317554236504266
16Phantoms21100000121201100000010821010000024-220.5001221330033575539621937233314771812406116.67%6433.33%030253256.77%28248558.14%28049956.11%576317554236504266
17Rocket11000000541110000005410000000000021.000581300335755316219372333142598195240.00%4175.00%030253256.77%28248558.14%28049956.11%576317554236504266
18Sags21000100761110000003121000010045-130.7507132000335755356219372333144519834300.00%4250.00%030253256.77%28248558.14%28049956.11%576317554236504266
19Sound Tigers1000010067-11000010067-10000000000010.5006101600335755336219372333143116426100.00%2150.00%030253256.77%28248558.14%28049956.11%576317554236504266
20Stars1010000016-51010000016-50000000000000.0001230033575533521937233314376429200.00%220.00%030253256.77%28248558.14%28049956.11%576317554236504266
21Thunder2110000012840000000000021100000128420.5001218300033575535621937233314511383611436.36%4175.00%030253256.77%28248558.14%28049956.11%576317554236504266
Total271650131114711136138201101725517148300210755619400.74114722937601335755393421937233314722244176574872326.44%582163.79%130253256.77%28248558.14%28049956.11%576317554236504266
_Since Last GM Reset271650131114711136138201101725517148300210755619400.74114722937601335755393421937233314722244176574872326.44%582163.79%130253256.77%28248558.14%28049956.11%576317554236504266
_Vs Conference14740030072621053100100262249430020046406170.6077211418600335755349421937233314381127116279391025.64%331263.64%130253256.77%28248558.14%28049956.11%576317554236504266
_Vs Division81300100404004110010023212402000001719-230.18840641040033575533082193723331424381961702129.52%23769.57%130253256.77%28248558.14%28049956.11%576317554236504266

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2740L214722937693472224417657401
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
271651311147111
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138211017255
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
148302107556
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
872326.44%582163.79%1
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
219372333143357553
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
30253256.77%28248558.14%28049956.11%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
576317554236504266


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
3 - 2025-10-0914Spiders4Caroline2WSommaire du match
5 - 2025-10-1126Spiders9Thunder4WSommaire du match
7 - 2025-10-1345Spiders5Monsters9LSommaire du match
10 - 2025-10-1664Cabaret Lady Mary Ann6Spiders5LXXSommaire du match
12 - 2025-10-1878Oil Kings5Spiders6WXSommaire du match
15 - 2025-10-2198Spiders5Marlies6LXSommaire du match
16 - 2025-10-22108Minnesota4Spiders8WSommaire du match
18 - 2025-10-24124Sags1Spiders3WSommaire du match
20 - 2025-10-26140Monsters3Spiders5WSommaire du match
22 - 2025-10-28161Spiders6Monsters5WXXSommaire du match
24 - 2025-10-30176Spiders4Sags5LXSommaire du match
26 - 2025-11-01191Spiders7Monarchs3WSommaire du match
27 - 2025-11-02197Spiders5Admirals1WSommaire du match
31 - 2025-11-06220Rocket4Spiders5WSommaire du match
33 - 2025-11-08231Manchots1Spiders4WSommaire du match
35 - 2025-11-10252Sound Tigers7Spiders6LXSommaire du match
37 - 2025-11-12268Spiders3Baby Hawks2WSommaire du match
40 - 2025-11-15288Spiders6Bears4WSommaire du match
43 - 2025-11-18309Spiders3Thunder4LSommaire du match
45 - 2025-11-20323Spiders9Cabaret Lady Mary Ann3WSommaire du match
47 - 2025-11-22339Spiders2Phantoms4LSommaire du match
49 - 2025-11-24354Cougars0Spiders9WSommaire du match
51 - 2025-11-26364Chiefs5Spiders7WSommaire du match
53 - 2025-11-28379Spiders7Crunch4WSommaire du match
54 - 2025-11-29395Phantoms8Spiders10WSommaire du match
56 - 2025-12-01406Monsters5Spiders3LSommaire du match
58 - 2025-12-03421Stars6Spiders1LSommaire du match
60 - 2025-12-05436Las Vegas-Spiders-
61 - 2025-12-06443Spiders-Bruins-
64 - 2025-12-09467Spiders-Senators-
66 - 2025-12-11481Thunder-Spiders-
68 - 2025-12-13495Admirals-Spiders-
69 - 2025-12-14508Comets-Spiders-
72 - 2025-12-17533Spiders-Las Vegas-
74 - 2025-12-19547Spiders-Roadrunners-
76 - 2025-12-21565Crunch-Spiders-
78 - 2025-12-23580Spiders-Sound Tigers-
82 - 2025-12-27592Bears-Spiders-
85 - 2025-12-30617Spiders-Marlies-
86 - 2025-12-31627Spiders-Monsters-
89 - 2026-01-03645Roadrunners-Spiders-
90 - 2026-01-04660Caroline-Spiders-
92 - 2026-01-06669Spiders-Sound Tigers-
94 - 2026-01-08687Spiders-Manchots-
97 - 2026-01-11711Spiders-Oceanics-
98 - 2026-01-12721Spiders-Minnesota-
100 - 2026-01-14735Firebirds-Spiders-
103 - 2026-01-17759Caroline-Spiders-
105 - 2026-01-19777Spiders-Heat-
106 - 2026-01-20786Spiders-Oil Kings-
109 - 2026-01-23807Spiders-Comets-
111 - 2026-01-25820Spiders-Firebirds-
113 - 2026-01-27835Oceanics-Spiders-
115 - 2026-01-29848Jayhawks-Spiders-
117 - 2026-01-31866Spiders-Senators-
120 - 2026-02-03887Monsters-Spiders-
122 - 2026-02-05905Sound Tigers-Spiders-
142 - 2026-02-25910Crunch-Spiders-
143 - 2026-02-26922Spiders-Manchots-
145 - 2026-02-28943Spiders-Chiefs-
148 - 2026-03-03961Cabaret Lady Mary Ann-Spiders-
149 - 2026-03-04971Marlies-Spiders-
152 - 2026-03-07991Wolf Pack-Spiders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
153 - 2026-03-081005Cougars-Spiders-
157 - 2026-03-121032Heat-Spiders-
159 - 2026-03-141050Monarchs-Spiders-
161 - 2026-03-161064Bruins-Spiders-
163 - 2026-03-181077Spiders-Wolf Pack-
165 - 2026-03-201095Spiders-Bears-
169 - 2026-03-241130Spiders-Stars-
171 - 2026-03-261144Spiders-Jayhawks-
173 - 2026-03-281157Spiders-Caroline-
174 - 2026-03-291171Baby Hawks-Spiders-
176 - 2026-03-311182Spiders-Wolf Pack-
178 - 2026-04-021194Bears-Spiders-
180 - 2026-04-041212Rocket-Spiders-
181 - 2026-04-051226Spiders-Rocket-
183 - 2026-04-071236Phantoms-Spiders-
185 - 2026-04-091251Manchots-Spiders-
187 - 2026-04-111265Spiders-Cougars-
188 - 2026-04-121279Senators-Spiders-
190 - 2026-04-141292Spiders-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance24,8459,654
Assistance PCT95.56%74.26%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-10 2654 - 88.46% 96,309$1,252,017$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
542,618$ 1,815,751$ 1,815,751$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,408$ 542,618$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,696,652$ 134 9,408$ 1,260,672$




Spiders Leaders statistiques des joueurs (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

Spiders 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

Spiders 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

Spiders Leaders statistiques des joueurs (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

Spiders 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