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Spiders
GP: 35 | W: 25 | L: 6 | OTL: 4 | P: 54
GF: 186 | GA: 137 | PP%: 28.18% | PK%: 65.75%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #565 vs Crunch

Centre de jeu
Spiders
25-6-4, 54pts
4
FINAL
3 Las Vegas
9-20-4, 22pts
Team Stats
L1SéquenceW1
13-2-2Fiche domicile4-10-2
12-4-2Fiche domicile5-10-2
7-3-0Derniers 10 matchs3-5-2
5.31Buts par match 3.94
3.91Buts contre par match 5.03
28.18%Pourcentage en avantage numérique28.57%
65.75%Pourcentage en désavantage numérique58.62%
Spiders
25-6-4, 54pts
4
FINAL
7 Roadrunners
18-16-3, 39pts
Team Stats
L1SéquenceW4
13-2-2Fiche domicile9-6-0
12-4-2Fiche domicile9-10-3
7-3-0Derniers 10 matchs7-2-1
5.31Buts par match 5.08
3.91Buts contre par match 5.43
28.18%Pourcentage en avantage numérique50.59%
65.75%Pourcentage en désavantage numérique58.68%
Crunch
7-25-2, 16pts
2025-12-21
Spiders
25-6-4, 54pts
Statistiques d’équipe
L4SéquenceL1
4-13-1Fiche domicile13-2-2
3-12-1Fiche visiteur12-4-2
0-9-110 derniers matchs7-3-0
4.24Buts par match 5.31
6.41Buts contre par match 5.31
24.42%Pourcentage en avantage numérique28.18%
57.81%Pourcentage en désavantage numérique65.75%
Spiders
25-6-4, 54pts
2025-12-23
Sound Tigers
19-11-6, 44pts
Statistiques d’équipe
L1SéquenceW2
13-2-2Fiche domicile10-4-5
12-4-2Fiche visiteur9-7-1
7-3-010 derniers matchs7-2-1
5.31Buts par match 4.28
3.91Buts contre par match 4.28
28.18%Pourcentage en avantage numérique28.13%
65.75%Pourcentage en désavantage numérique64.20%
Bears
17-17-1, 35pts
2025-12-27
Spiders
25-6-4, 54pts
Statistiques d’équipe
W1SéquenceL1
8-10-1Fiche domicile13-2-2
9-7-0Fiche visiteur12-4-2
5-5-010 derniers matchs7-3-0
4.37Buts par match 5.31
4.09Buts contre par match 5.31
37.50%Pourcentage en avantage numérique28.18%
70.97%Pourcentage en désavantage numérique65.75%
Meneurs d'équipe
Buts
Mackie Samoskevich
43
Passes
Adam Ruzicka
45
Points
Mackie Samoskevich
82
Plus/Moins
Rafaël Harvey-Pinard
38
Victoires
Nikita Tolopilo
18
Pourcentage d’arrêts
Nikita Tolopilo
0.855

Statistiques d’équipe
Buts pour
186
5.31 GFG
Tirs pour
1251
35.74 Avg
Pourcentage en avantage numérique
28.2%
31 GF
Début de zone offensive
36.6%
Buts contre
137
3.91 GAA
Tirs contre
905
25.86 Avg
Pourcentage en désavantage numérique
65.8%%
25 GA
Début de la zone défensive
31.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,656
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure21
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$
11James Malatesta (R)X100.00564562656162596142545553605050050570212841,667$
12Taylor Makar (R)X100.00624062586560585540535456555150050560233925,000$
13Mark Friedman (C)X100.00634472696674696440615769637556050650281900,000$
14William Wallinder (R)X100.00634173656663626240605463605050050610222925,000$
15Luke Krys (R)X100.0062426865636462604057546560525005060N0241700,000$
16Santeri Hatakka (R)X100.00604268676462595740545363595250050590231850,833$
17Ryan Mast (R)X100.00684170607260575640525165565050050590212830,556$
Rayé
1Michael Milne (R)X100.00564367656362606243565652615050050570221861,667$
2Sam Lipkin (R)X100.00594166616262615941545654585050050560213851,667$
3Maxim Cajkovic (R)X100.00554262586052515139474751525150050510231850,833$
4Oskar Jellvik (R)X100.00373737373737373737373737373737050380213620,000$
MOYENNE D’ÉQUIPE100.0059426864656561604457555860535005059
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)RW35433982349570341985911021.72%1368019.45107172586000147244.23%525016152.41120011182
2Adam RuzickaSpiders (Har)C/LW3520456533954158101386219.80%1570120.052131513870000122062.10%8971223121.8512001552
3Rafaël Harvey-PinardSpiders (Har)C/LW/RW3517284538195793485294720.00%1466819.09459886000046239.58%481611001.3500001247
4Jack WilliamsSpiders (Har)RW352118396115564285276124.71%1357716.49538966000002153.13%323113011.3500001312
5Nick DeSimoneHartfordD34530353011527448828295.68%2881724.05123885000350110%02140100.8600010102
6Aydar SunievSpiders (Har)LW35201333060503090204022.22%1658916.83336765000022251.85%271513001.1200000222
7Mason LohreiHartfordD2122325104019397832412.56%3051724.66156755000234100%02517000.9700000100
8Nathan GaucherSpiders (Har)C359162514180724260193115.00%1457316.371342271011260161.04%385710000.8700000023
9Martin ChromiakSpiders (Har)RW35186244403528105355617.14%952414.99101350000161037.50%402910010.9211000224
10Rhett GardnerSpiders (Har)C35614200375473548123012.50%1046613.340441420000190057.38%30588000.8600010011
11Yegor SidorovSpiders (Har)RW23971610029979214911.39%529412.82000020002370062.50%8104001.0800000220
12Jake LeschyshynSpiders (Har)C355712-64036225512389.09%1242012.03000010003451158.82%17067000.5700000011
13Mark FriedmanSpiders (Har)D35471113221041355216227.69%3774221.21224571000046000%01142000.3000002010
14Luke KrysSpiders (Har)D35110116953336199145.26%3660317.23101114011149000%1326000.3600001000
15William WallinderSpiders (Har)D3501010318031343218160%3171520.43000165000012000%0831000.2800000000
16Ryan MastSpiders (Har)D160881780141315560%1230819.30011123000014000%0314000.5200000000
17Santeri HatakkaSpiders (Har)D33145500172126943.85%1949815.1200004000010100%0027000.2000000000
18Taylor MakarSpiders (Har)LW2313451603511147177.14%729913.01000020000310021.43%1404000.2700000001
19Michael MilneSpiders (Har)LW1212324075122158.33%113511.2900000000050060.00%522000.4400000000
20James MalatestaSpiders (Har)LW13213-5558772528.57%01179.05000000000110033.33%612000.5100001000
Statistiques d’équipe totales ou en moyenne59518529147621021450747579124940069314.81%3221025317.233148799179611213436241058.69%1990258320390.9335028292927
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)2618230.8553.6114982190621282000.50042510010
2Sergei MurashovSpiders (Har)127410.8384.48616004628413900001025000
Statistiques d’équipe totales ou en moyenne3825640.8503.862115211369054210043535010


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
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
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$18,342$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
2522.56193 Lbs6 ft12.04844,900$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Aydar SunievAdam RuzickaMackie Samoskevich35014
2Rafaël Harvey-PinardNathan GaucherJack Williams30113
3Taylor MakarRhett GardnerMartin Chromiak20122
4Jake LeschyshynYegor Sidorov15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ryan MastWilliam Wallinder36014
2Mark FriedmanLuke Krys34122
3Santeri HatakkaJames Malatesta25131
4Mark FriedmanWilliam Wallinder5014
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
1Mark FriedmanWilliam Wallinder60014
2Luke KrysRyan Mast40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rhett GardnerTaylor Makar50140
2Jake LeschyshynYegor Sidorov50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William WallinderLuke Krys50140
2Mark FriedmanRyan Mast50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Nathan Gaucher50140Ryan MastWilliam Wallinder50140
2Jake Leschyshyn50140Mark FriedmanSanteri Hatakka50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Adam RuzickaMackie Samoskevich60014
2Rafaël Harvey-PinardJack Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanWilliam Wallinder60023
2Ryan MastSanteri Hatakka40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafaël Harvey-PinardAdam RuzickaMackie SamoskevichMark FriedmanWilliam Wallinder
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rafaël Harvey-PinardAdam RuzickaMackie SamoskevichMark FriedmanWilliam Wallinder
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mackie Samoskevich, Martin Chromiak, Jake LeschyshynYegor Sidorov, Taylor MakarMartin Chromiak
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mark Friedman, Ryan Mast, Luke KrysLuke KrysRyan Mast, 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
1Admirals22000000936110000004221100000051441.000914230042687438732645845714342110573133.33%5180.00%042272957.89%37062359.39%37663858.93%765429701303648341
2Baby Hawks11000000321000000000001100000032121.000358004268743323264584571429154232150.00%20100.00%042272957.89%37062359.39%37663858.93%765429701303648341
3Bears11000000642000000000001100000064221.0006101600426874332326458457143113616200.00%30100.00%042272957.89%37062359.39%37663858.93%765429701303648341
4Bruins11000000312000000000001100000031221.00036900426874338326458457141911224000%10100.00%042272957.89%37062359.39%37663858.93%765429701303648341
5Cabaret Lady Mary Ann2100000114951000000156-11100000093630.750142438004268743753264584571451910387114.29%5340.00%042272957.89%37062359.39%37663858.93%765429701303648341
6Caroline11000000422000000000001100000042221.000461000426874339326458457141786185120.00%30100.00%042272957.89%37062359.39%37663858.93%765429701303648341
7Chiefs11000000752110000007520000000000021.0007111800426874345326458457143476243133.33%3233.33%042272957.89%37062359.39%37663858.93%765429701303648341
8Comets11000000725110000007250000000000021.00071320004268743403264584571415714383266.67%20100.00%042272957.89%37062359.39%37663858.93%765429701303648341
9Cougars11000000909110000009090000000000021.0009142301426874343326458457141799452150.00%20100.00%042272957.89%37062359.39%37663858.93%765429701303648341
10Crunch11000000743000000000001100000074321.0007815004268743263264584571420102156466.67%10100.00%042272957.89%37062359.39%37663858.93%765429701303648341
11Las Vegas22000000972110000005411100000043141.00091221004268743733264584571450188338112.50%4325.00%042272957.89%37062359.39%37663858.93%765429701303648341
12Manchots11000000413110000004130000000000021.0004590042687433232645845714288627200.00%3166.67%142272957.89%37062359.39%37663858.93%765429701303648341
13Marlies1000010056-1000000000001000010056-110.500571200426874339326458457142292214125.00%110.00%042272957.89%37062359.39%37663858.93%765429701303648341
14Minnesota11000000844110000008440000000000021.0008101800426874329326458457142362157114.29%10100.00%042272957.89%37062359.39%37663858.93%765429701303648341
15Monarchs11000000734000000000001100000073421.00071118004268743333264584571423421133100.00%10100.00%042272957.89%37062359.39%37663858.93%765429701303648341
16Monsters20200000814-61010000035-21010000059-400.00081220004268743733264584571459186243500.00%6183.33%042272957.89%37062359.39%37663858.93%765429701303648341
17Monsters210000101183110000005321000001065141.00011172800426874359326458457146531439700.00%2150.00%042272957.89%37062359.39%37663858.93%765429701303648341
18Oil Kings10001000651100010006510000000000021.0006101600426874341326458457142375302150.00%000%042272957.89%37062359.39%37663858.93%765429701303648341
19Phantoms21100000121201100000010821010000024-220.5001221330042687439632645845714771812406116.67%6433.33%042272957.89%37062359.39%37663858.93%765429701303648341
20Roadrunners1010000047-3000000000001010000047-300.0004610004268743423264584571434106195240.00%3166.67%042272957.89%37062359.39%37663858.93%765429701303648341
21Rocket11000000541110000005410000000000021.000581300426874316326458457142598195240.00%4175.00%042272957.89%37062359.39%37663858.93%765429701303648341
22Sags21000100761110000003121000010045-130.7507132000426874356326458457144519834300.00%4250.00%042272957.89%37062359.39%37663858.93%765429701303648341
23Senators11000000624000000000001100000062421.0006915004268743383264584571426162134125.00%10100.00%042272957.89%37062359.39%37663858.93%765429701303648341
24Sound Tigers1000010067-11000010067-10000000000010.5006101600426874336326458457143116426100.00%2150.00%042272957.89%37062359.39%37663858.93%765429701303648341
25Stars1010000016-51010000016-50000000000000.0001230042687433532645845714376429200.00%220.00%042272957.89%37062359.39%37663858.93%765429701303648341
26Thunder32100000181351100000065121100000128440.66718284600426874396326458457147017125413646.15%6183.33%042272957.89%37062359.39%37663858.93%765429701303648341
Total35236013111861374917122011019468261811400210926923540.7711862924780142687431251326458457149053222167511103128.18%732565.75%142272957.89%37062359.39%37663858.93%765429701303648341
_Since Last GM Reset35236013111861374917122011019468261811400210926923540.7711862924780142687431251326458457149053222167511103128.18%732565.75%142272957.89%37062359.39%37663858.93%765429701303648341
_Vs Conference1911500300957916751001003629712640020059509250.6589515224700426874369832645845714499180134385511529.41%421369.05%142272957.89%37062359.39%37663858.93%765429701303648341
_Vs Division81300100404004110010023212402000001719-230.18840641040042687433083264584571424381961702129.52%23769.57%142272957.89%37062359.39%37663858.93%765429701303648341

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3554L1186292478125190532221675101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
352361311186137
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1712211019468
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1811402109269
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1103128.18%732565.75%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
326458457144268743
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
42272957.89%37062359.39%37663858.93%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
765429701303648341


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 Vegas4Spiders5WSommaire du match
61 - 2025-12-06443Spiders3Bruins1WSommaire du match
64 - 2025-12-09467Spiders6Senators2WSommaire du match
66 - 2025-12-11481Thunder5Spiders6WSommaire du match
68 - 2025-12-13495Admirals2Spiders4WSommaire du match
69 - 2025-12-14508Comets2Spiders7WSommaire du match
72 - 2025-12-17533Spiders4Las Vegas3WSommaire du match
74 - 2025-12-19547Spiders4Roadrunners7LSommaire du match
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
Assistance32,38512,775
Assistance PCT95.25%75.15%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-14 2656 - 88.55% 96,242$1,636,110$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
691,230$ 1,723,251$ 1,723,251$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,929$ 691,230$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,309,802$ 118 8,929$ 1,053,622$




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