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Connexion

Mariners
GP: 77 | W: 33 | L: 35 | OTL: 9 | P: 75
GF: 192 | GA: 213 | PP%: 18.08% | PK%: 68.57%
DG: | Morale : 40 | Moyenne d’équipe : 66
Prochains matchs #1145 vs Newfies

Centre de jeu
Mariners
33-35-9, 75pts
3
2 Newfies
32-35-8, 72pts
Team Stats
W3SéquenceW2
16-17-5Fiche domicile18-15-4
17-18-4Fiche visiteur14-20-4
6-4-0Derniers 10 matchs5-5-0
2.49Buts par match 2.40
2.77Buts contre par match 2.73
18.08%Pourcentage en avantage numérique28.82%
68.57%Pourcentage en désavantage numérique69.28%
Newfies
32-35-8, 72pts
1
3 Mariners
33-35-9, 75pts
Team Stats
W2SéquenceW3
18-15-4Fiche domicile16-17-5
14-20-4Fiche visiteur17-18-4
5-5-0Derniers 10 matchs6-4-0
2.40Buts par match 2.49
2.73Buts contre par match 2.77
28.82%Pourcentage en avantage numérique18.08%
69.28%Pourcentage en désavantage numérique68.57%
Mariners
33-35-9, 75pts
2026-10-24
Newfies
32-35-8, 72pts
Statistiques d’équipe
W3SéquenceW2
16-17-5Fiche domicile18-15-4
17-18-4Fiche visiteur14-20-4
6-4-010 derniers matchs5-5-0
2.49Buts par match 2.40
2.77Buts contre par match 2.40
18.08%Pourcentage en avantage numérique28.82%
68.57%Pourcentage en désavantage numérique69.28%
Raiders
40-23-11, 91pts
2026-10-26
Mariners
33-35-9, 75pts
Statistiques d’équipe
W1SéquenceW3
22-11-4Fiche domicile16-17-5
18-12-7Fiche visiteur17-18-4
5-1-410 derniers matchs6-4-0
3.05Buts par match 2.49
2.96Buts contre par match 2.49
33.88%Pourcentage en avantage numérique18.08%
67.10%Pourcentage en désavantage numérique68.57%
Mariners
33-35-9, 75pts
2026-10-27
Raiders
40-23-11, 91pts
Statistiques d’équipe
W3SéquenceW1
16-17-5Fiche domicile22-11-4
17-18-4Fiche visiteur18-12-7
6-4-010 derniers matchs5-1-4
2.49Buts par match 3.05
2.77Buts contre par match 3.05
18.08%Pourcentage en avantage numérique33.88%
68.57%Pourcentage en désavantage numérique67.10%
Meneurs d'équipe
Buts
Rudolf Kothaj
35
Passes
Oswin Brock
40
Points
Rudolf Kothaj
66
Plus/Moins
Allain Dufresne
10
Victoires
Dainis Ijabs
27
Pourcentage d’arrêts
Tomaz Markelj
0.918

Statistiques d’équipe
Buts pour
192
2.49 GFG
Tirs pour
2286
29.69 Avg
Pourcentage en avantage numérique
18.1%
32 GF
Début de zone offensive
36.9%
Buts contre
213
2.77 GAA
Tirs contre
2240
29.09 Avg
Pourcentage en désavantage numérique
68.6%%
55 GA
Début de la zone défensive
36.9%
Informations de l'équipe

Directeur général
EntraîneurElyes Chapuis
DivisionEast
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomAvenir Centre
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro22
Équipe Mineure5
Limite Contrat27 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées13,072$
Compte bancaire actuel0$
Compte bancaire projeté-13,072$


Historique d'équipe

Saison actuelle33-35-9 (75PTS)
Historique286-204-60 (0.520%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)17 - 15 (0.531%)
Coupe Stanley0


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
1Rudolf Kothaj (R)0X100.0056596275587279796974777152456659407202010$
2Nathaniel Radmacher (R)0X100.0057586670776683775672677560546279407102010$
3Phillipp Hegglin (R)0X100.0087644464707875617678687151525854407102010$
4Oswin Brock (R)0X100.0071585468777669725776746151565588407001710$
5Vojtech Kolin (R)0X100.0054656475796974496467648853606572406901910$
6Eduard Zaitsev (R)0X100.0070745074716575686272716158506684406801610$
7Dyson Poplawski (R)0X100.0072655286748566335654718377515373406701910$
8Karel Majecik (R)0X100.0050535576776479505457708069624758406601910$
9Allain Dufresne (R)0X100.0075517065557375615872576150646571406601610$
10Caden Deschamps (R)0X100.0074746360787163567564617262535493406601610$
11Konstantyn Oliynyk (R)0X100.0068535069716670675755718051555986406601610$
12Randall Adkin (R)0X100.0075735464707559377556737969686183406401610$
13Gerhard Hylen (R)0X100.0074697055697069766941477051575171406501610$
14Les Shigley (R)0X100.0045596873745450717166786159596892406501610$
15Samuel Kolda0X100.0062656850756876506043506861695075406301710$
16Kellen Spafford (R)0X100.0055755661675470756067774272535183406301610$
17Lars-Henrik Jouppi (R)0X100.0027676069685877686570593249475291436101810$
18Wyatt Kaiser (R)0X100.0062607156656464497443567072557487586101710$
Rayé
1Toby Willson (R)0X92.7934545775685552685869785463505779406401610$
2Paulus Torikka (R)0X76.0474637964705568386948507258635796406401610$
MOYENNE D’ÉQUIPE98.44626361677167706064626668595659794166
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
1Dainis Ijabs (R)0100.007156667460657360546857697073406501810$
2Tomaz Markelj (R)0100.006469715658656572645262685886406401610$
Rayé
MOYENNE D’ÉQUIPE100.0068636965596569665960606964804065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Elyes Chapuis84885786517767FRA402125,000$


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
1Rudolf KothajMarinersLW76353166-4200161152354992319.89%39174923.0274113214010191106250.77%3929428010.7526000654
2Oswin BrockMarinersLW772340632300220117291881757.90%35155920.25411151714720281052051.35%745122000.8112000564
3Nathaniel RadmacherMarinersRW77302555-6200125992266113913.27%44147719.1946101214401161057151.06%944626110.7426000743
4Phillipp HegglinMarinersC77104050-554022614814834806.76%39145118.8519101014701141011152.94%17152227000.6935000117
5Les ShigleyMarinersD776384471804413714459744.17%88185224.0617861440112111200%05441000.4700000123
6Vojtech KolinMarinersC77222042-51001401631715610912.87%35144818.815611141430000125044.87%10813829000.5801000364
7Eduard ZaitsevMarinersLW77161531748014375203571387.88%25109614.2401108000011136.00%255114000.5700000233
8Toby WillsonMarinersD71425291360187910458563.85%71151021.2824691280112100100%04531000.3800000011
9Dyson PoplawskiMarinersRW77141327-728021213496295014.58%45144018.7153811145000002037.93%582942000.3701000012
10Allain DufresneMarinersC771114251040998714342707.69%20104513.5700000000012145.48%3872522000.4800000030
11Gerhard HylenMarinersD775182391401241189532415.26%93188424.4823561470002116110%0963100.2400000201
12Caden DeschampsMarinersRW77291110180147906126483.28%27106013.7700000000071051.72%29520000.2100000000
13Kellen SpaffordMarinersD7711011422055626828311.47%31119715.56000240011033000%03419000.1800000000
14Paulus TorikkaMarinersD664711-82077874314179.30%65142521.6011251190001108010%0643000.1500000010
15Samuel KoldaMarinersD74066-52058792516130%52106614.41000014000015000%0223000.1101000000
16Konstantyn OliynykMarinersLW7741536053454613308.70%134696.10000040001280047.06%3457000.2100000000
17Randall AdkinMarinersRW600441806138198120%114186.9700013000000060.00%10312000.1900000000
18Karel MajecikMarinersLW7721312033442051110.00%54175.42000060000170145.00%4057000.1400000020
19Lars-Ole EsbensenFarm Team 20 (MAR)C1312322013215286.67%2896.8700000000000055.17%2931000.6700000000
20Lars-Henrik JouppiMarinersD2000000001000%02914.650000000000000%00000000000000
21Wyatt KaiserMarinersD23000100101413550%928512.420000000015000%01600000000000
Statistiques d’équipe totales ou en moyenne138619031950918344020191770228673213388.31%7492297516.5832558712514903583698231949.29%3968528483220.44822000273532
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
1Dainis IjabsMariners67273370.9072.7039154317618831055330.556186710600
2Tomaz MarkeljMariners156220.9182.347430029353197110.33331067110
Statistiques d’équipe totales ou en moyenne82333590.9082.644658432052236125244217777710


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Allain DufresneMarinersC162012-11-16CANYes236 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Caden DeschampsMarinersRW162012-02-26CANYes213 Lbs6 ft2NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Dainis IjabsMarinersG182010-05-17LATYes187 Lbs5 ft10NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Dyson PoplawskiMarinersRW192009-01-26CANYes229 Lbs6 ft8NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Eduard ZaitsevMarinersLW162012-05-17RUSYes201 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Gerhard HylenMarinersD162012-02-18SWEYes196 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Karel MajecikMarinersLW192009-06-16SVKYes196 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Kellen SpaffordMarinersD162012-02-01CANYes199 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Konstantyn OliynykMarinersLW162012-12-07UKRYes198 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Lars-Henrik JouppiMarinersD182010-04-27FINYes180 Lbs6 ft1NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Les ShigleyMarinersD162012-06-01USAYes212 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Nathaniel RadmacherMarinersRW202008-12-27CANYes184 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Oswin BrockMarinersLW172011-08-12GERYes194 Lbs5 ft10NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Paulus Torikka (sur la masse salariale)MarinersD162012-09-06FINYes181 Lbs5 ft11NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Phillipp HegglinMarinersC202008-12-27SUIYes166 Lbs5 ft9NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Randall AdkinMarinersRW162012-03-22CANYes189 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Rudolf KothajMarinersLW202008-12-27SVKYes226 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Samuel KoldaMarinersD172011-01-12CZENo191 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Toby Willson (sur la masse salariale)MarinersD162012-11-29CANYes198 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Tomaz MarkeljMarinersG162012-10-19SLOYes183 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Vojtech KolinMarinersC192009-10-16CZEYes181 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Wyatt KaiserMarinersD172011-02-22CANYes228 Lbs6 ft4NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2217.27199 Lbs6 ft11.000$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
0$0$0$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolf KothajPhillipp HegglinNathaniel Radmacher35122
2Oswin BrockVojtech KolinDyson Poplawski35122
3Eduard ZaitsevAllain DufresneCaden Deschamps20122
4Karel MajecikRudolf KothajRandall Adkin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Les ShigleyGerhard Hylen35122
2Samuel KoldaKellen Spafford35122
3Lars-Henrik JouppiWyatt Kaiser20122
4Les ShigleyGerhard Hylen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolf KothajPhillipp HegglinNathaniel Radmacher50122
2Oswin BrockVojtech KolinDyson Poplawski50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Les ShigleyGerhard Hylen50122
2Samuel KoldaKellen Spafford50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rudolf KothajNathaniel Radmacher50122
2Phillipp HegglinOswin Brock50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Les ShigleyGerhard Hylen50122
2Samuel KoldaKellen Spafford50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rudolf Kothaj50122Les ShigleyGerhard Hylen50122
2Nathaniel Radmacher50122Samuel KoldaKellen Spafford50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rudolf KothajNathaniel Radmacher50122
2Phillipp HegglinOswin Brock50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Les ShigleyGerhard Hylen50122
2Samuel KoldaKellen Spafford50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolf KothajPhillipp HegglinNathaniel RadmacherLes ShigleyGerhard Hylen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolf KothajPhillipp HegglinNathaniel RadmacherLes ShigleyGerhard Hylen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Konstantyn Oliynyk, Eduard Zaitsev, Caden DeschampsKonstantyn Oliynyk, Eduard ZaitsevCaden Deschamps
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Lars-Henrik Jouppi, Wyatt Kaiser, Samuel KoldaLars-Henrik JouppiWyatt Kaiser, Samuel Kolda
Tirs de pénalité
Rudolf Kothaj, Nathaniel Radmacher, Phillipp Hegglin, Oswin Brock, Vojtech Kolin
Gardien
#1 : Dainis Ijabs, #2 : Tomaz Markelj
Lignes d’attaque personnalisées en prolongation
Rudolf Kothaj, Nathaniel Radmacher, Phillipp Hegglin, Oswin Brock, Vojtech Kolin, Eduard Zaitsev, Dyson Poplawski, Caden Deschamps, Allain Dufresne, Karel Majecik
Lignes de défense personnalisées en prolongation
Les Shigley, Gerhard Hylen, Samuel Kolda, Kellen Spafford, Lars-Henrik Jouppi


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
TotalDomicile Visiteur
# 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 RI
1Aviators2010100056-1100010004311010000013-220.5005712002021472414817019648100.00%4250.00%0731145250.34%712145249.04%513103249.71%402142173720
2Berries2110000078-1110000005231010000026-420.50071219001420652428130712510553133.33%5180.00%0731145250.34%712145249.04%513103249.71%412242183617
3Chill2010000146-21000000134-11010000012-110.250481200013059202118266271241600.00%6183.33%0731145250.34%712145249.04%513103249.71%412345203718
4Dragons7430000024186312000001110143100000138580.57124376100471302106368790209762618814535.71%13376.92%1731145250.34%712145249.04%513103249.71%144781396513668
5Firebirds21000100844110000007251000010012-130.75081321002330502313140652310526233.33%50100.00%0731145250.34%712145249.04%513103249.71%392043204019
6Fog2010001056-11010000024-21000001032120.5005813002112612127133462010706116.67%5260.00%0731145250.34%712145249.04%513103249.71%442337194321
7Force2010000147-31000000134-11010000013-210.25046100013037017292010572914426116.67%7271.43%0731145250.34%712145249.04%513103249.71%442441193918
8Gators211000004401010000013-21100000031220.50047111003106032171104610457400.00%2150.00%0731145250.34%712145249.04%513103249.71%412341193617
9Grizzlies22000000633110000003211100000031241.0006111700213059202118058174533133.33%2150.00%0731145250.34%712145249.04%513103249.71%422339183719
10Hellcats2020000027-51010000023-11010000004-400.00024600011058142519054218496116.67%4175.00%0731145250.34%712145249.04%513103249.71%432237183820
11Howlers2020000028-61010000013-21010000015-400.00024600020052261511054161462600.00%7442.86%0731145250.34%712145249.04%513103249.71%402040193920
12Invaders2020000025-31010000013-21010000012-100.00023500020061152917047201247200.00%6350.00%0731145250.34%712145249.04%513103249.71%412238193919
13Islanders2010001045-1100000103211010000013-220.500461000012256211516859201460400.00%7357.14%0731145250.34%712145249.04%513103249.71%442342193819
14Lions21100000550110000003121010000024-220.500571210221079352123061196525240.00%30100.00%0731145250.34%712145249.04%513103249.71%442538183718
15Mammoth210001004311000010023-11100000020230.750461001121074292421056181034700.00%50100.00%0731145250.34%712145249.04%513103249.71%442642193518
16Menace211000005501010000013-21100000042220.5005712001310561033130631114514125.00%7271.43%1731145250.34%712145249.04%513103249.71%412140203818
17Newfies623000011217-53110000158-33120000079-250.4171221330043501725751634144392417416318.75%12558.33%0731145250.34%712145249.04%513103249.71%129701155811959
18Nighthawks84300100201914220000089-1421001001210290.56320365611731002156773750234853620121523.81%18477.78%0731145250.34%712145249.04%513103249.71%173951537315378
19Quake2110000056-11010000015-41100000041320.50058130011305916113207326852300.00%4175.00%0731145250.34%712145249.04%513103249.71%402143183618
20Raiders624000001420-631200000912-33120000058-340.3331425390056301736252590214703014915320.00%15660.00%0731145250.34%712145249.04%513103249.71%119641305411055
21Rapids21100000761110000005231010000024-220.5007111810151071123128062118506116.67%4175.00%0731145250.34%712145249.04%513103249.71%392043183719
22Reapers2110000045-1110000003211010000013-220.5004812000310509251605621659300.00%3233.33%0731145250.34%712145249.04%513103249.71%402138184019
23Reds2010100056-11010000024-21000100032120.500581300022162172419266221840200.00%9277.78%1731145250.34%712145249.04%513103249.71%402244193516
24Reign20001001660100010004311000000123-130.750610160020326435179652136565120.00%3166.67%0731145250.34%712145249.04%513103249.71%442342204220
25Spirit21100000810-21010000047-31100000043120.500812200004406110282305814650300.00%3233.33%0731145250.34%712145249.04%513103249.71%402140193819
26Steelers20101000770100010005411010000023-120.500712190002415126101325215451400.00%220.00%0731145250.34%712145249.04%513103249.71%432438183819
27Storm210001004311000010012-11100000031230.750471100112057182514048196633133.33%3166.67%0731145250.34%712145249.04%513103249.71%442337183919
28Terror2010010057-21010000012-11000010045-110.2505813000410671726240532210626233.33%5180.00%0731145250.34%712145249.04%513103249.71%442539183617
29Warhawks22000000413110000001011100000031241.0004711013100672923150462112517114.29%6183.33%0731145250.34%712145249.04%513103249.71%432339183618
Total77273504524192213-2138121703213101112-113915180131191101-10750.4871923195114342717312228676979670438224074934820191773218.08%1755568.57%3731145250.34%712145249.04%513103249.71%162488515617301477737
_Since Last GM Reset77273504524192213-2138121703213101112-113915180131191101-10750.4871923195114342717312228676979670438224074934820191773218.08%1755568.57%3731145250.34%712145249.04%513103249.71%162488515617301477737
_Vs Conference47162204212126140-1423711031016673-724911011116067-7460.489126210336212940527136146246342718138044420412571052120.00%1033665.05%2731145250.34%712145249.04%513103249.71%984534949442908454
_Vs Division271213001017074-41357000013339-614760010037352260.481701191891120193107702492442764801270116712661624.24%581868.97%1731145250.34%712145249.04%513103249.71%566308539252519261

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7775W319231951122862240749348201943
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7727354524192213
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3812173213101112
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
391518131191101
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
1773218.08%1755568.57%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
7697967043842717312
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
731145250.34%712145249.04%513103249.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
162488515617301477737


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2026-06-082Mariners2Rapids4LSommaire du match
2 - 2026-06-0917Mariners4Quake1WSommaire du match
4 - 2026-06-1131Howlers3Mariners1LSommaire du match
6 - 2026-06-1347Newfies4Mariners0LSommaire du match
8 - 2026-06-1571Mariners4Terror5LXSommaire du match
10 - 2026-06-1789Mariners2Berries6LSommaire du match
12 - 2026-06-19101Berries2Mariners5WSommaire du match
13 - 2026-06-20115Mariners2Lions4LSommaire du match
15 - 2026-06-22123Islanders2Mariners3WXXSommaire du match
17 - 2026-06-24143Reign3Mariners4WXSommaire du match
19 - 2026-06-26164Mariners1Aviators3LSommaire du match
20 - 2026-06-27166Mariners3Nighthawks4LXSommaire du match
22 - 2026-06-29183Nighthawks3Mariners4WSommaire du match
23 - 2026-06-30196Mariners4Raiders2WSommaire du match
25 - 2026-07-02211Rapids2Mariners5WSommaire du match
27 - 2026-07-04226Mariners3Dragons1WSommaire du match
29 - 2026-07-06243Grizzlies2Mariners3WSommaire du match
30 - 2026-07-07261Mariners2Steelers3LSommaire du match
32 - 2026-07-09270Steelers4Mariners5WXSommaire du match
34 - 2026-07-11286Mariners2Newfies3LSommaire du match
36 - 2026-07-13301Newfies3Mariners2LXXSommaire du match
37 - 2026-07-14315Mariners4Spirit3WSommaire du match
39 - 2026-07-16330Raiders2Mariners5WSommaire du match
41 - 2026-07-18346Dragons4Mariners2LSommaire du match
43 - 2026-07-20361Storm2Mariners1LXSommaire du match
44 - 2026-07-21379Mariners2Reign3LXXSommaire du match
46 - 2026-07-23390Reds4Mariners2LSommaire du match
48 - 2026-07-25403Nighthawks3Mariners1LSommaire du match
50 - 2026-07-27419Mariners4Nighthawks2WSommaire du match
52 - 2026-07-29444Mariners0Hellcats4LSommaire du match
54 - 2026-07-31458Mammoth3Mariners2LXSommaire du match
55 - 2026-08-01467Mariners3Warhawks1WSommaire du match
57 - 2026-08-03481Gators3Mariners1LSommaire du match
58 - 2026-08-04495Mariners4Nighthawks1WSommaire du match
60 - 2026-08-06509Mariners0Raiders4LSommaire du match
62 - 2026-08-08525Menace3Mariners1LSommaire du match
64 - 2026-08-10539Aviators3Mariners4WXSommaire du match
65 - 2026-08-11557Mariners1Chill2LSommaire du match
67 - 2026-08-13569Chill4Mariners3LXXSommaire du match
69 - 2026-08-15583Mariners1Invaders2LSommaire du match
71 - 2026-08-17598Lions1Mariners3WSommaire du match
72 - 2026-08-18616Mariners1Howlers5LSommaire du match
74 - 2026-08-20625Fog4Mariners2LSommaire du match
76 - 2026-08-22642Mariners1Firebirds2LXSommaire du match
78 - 2026-08-24653Mariners1Dragons4LSommaire du match
79 - 2026-08-25673Mariners4Menace2WSommaire du match
81 - 2026-08-27683Terror2Mariners1LSommaire du match
83 - 2026-08-29709Mariners3Fog2WXXSommaire du match
85 - 2026-08-31714Warhawks0Mariners1WSommaire du match
87 - 2026-09-02737Mariners1Force3LSommaire du match
89 - 2026-09-04749Reapers2Mariners3WSommaire du match
90 - 2026-09-05759Mariners1Raiders2LSommaire du match
92 - 2026-09-07771Dragons2Mariners6WSommaire du match
94 - 2026-09-09792Mariners3Storm1WSommaire du match
96 - 2026-09-11807Quake5Mariners1LSommaire du match
97 - 2026-09-12813Mariners2Newfies4LSommaire du match
99 - 2026-09-14831Firebirds2Mariners7WSommaire du match
101 - 2026-09-16853Mariners1Reapers3LSommaire du match
103 - 2026-09-18865Hellcats3Mariners2LSommaire du match
104 - 2026-09-19883Mariners3Reds2WXSommaire du match
106 - 2026-09-21885Mariners1Islanders3LSommaire du match
107 - 2026-09-22906Mariners3Gators1WSommaire du match
109 - 2026-09-24915Force4Mariners3LXXSommaire du match
111 - 2026-09-26931Mariners3Dragons2WSommaire du match
113 - 2026-09-28945Nighthawks3Mariners1LSommaire du match
114 - 2026-09-29958Spirit7Mariners4LSommaire du match
116 - 2026-10-01972Raiders6Mariners3LSommaire du match
118 - 2026-10-03991Mariners3Grizzlies1WSommaire du match
120 - 2026-10-051004Mariners2Mammoth0WSommaire du match
122 - 2026-10-071022Mariners1Nighthawks3LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
124 - 2026-10-091034Nighthawks0Mariners2WSommaire du match
125 - 2026-10-101039Raiders4Mariners1LSommaire du match
127 - 2026-10-121054Invaders3Mariners1LSommaire du match
129 - 2026-10-141076Dragons4Mariners3LSommaire du match
131 - 2026-10-161088Mariners6Dragons1WSommaire du match
132 - 2026-10-171094Mariners3Newfies2WSommaire du match
134 - 2026-10-191108Newfies1Mariners3WSommaire du match
139 - 2026-10-241145Mariners-Newfies-
141 - 2026-10-261156Raiders-Mariners-
142 - 2026-10-271170Mariners-Raiders-
144 - 2026-10-291181Newfies-Mariners-
148 - 2026-11-021205Dragons-Mariners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance00000
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
3 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 0$ 0$ 125,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 16 817$ 13,072$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
13,072$ 0$ -13,072$



Charte de profondeur

Ailier gaucheCentreAilier droit
Rudolf Kothaj (R)AGE:20PO:59OV:72
Oswin Brock (R)AGE:17PO:88OV:70
Eduard Zaitsev (R)AGE:16PO:84OV:68
Konstantyn Oliynyk (R)AGE:16PO:86OV:66
Karel Majecik (R)AGE:19PO:58OV:66
Phillipp Hegglin (R)AGE:20PO:54OV:71
Vojtech Kolin (R)AGE:19PO:72OV:69
Allain Dufresne (R)AGE:16PO:71OV:66
Lars-Ole EsbensenAGE:17PO:80OV:61
Igor Zhaglin (R)AGE:17PO:81OV:58
Nathaniel Radmacher (R)AGE:20PO:79OV:71
Dyson Poplawski (R)AGE:19PO:73OV:67
Caden Deschamps (R)AGE:16PO:93OV:66
Randall Adkin (R)AGE:16PO:83OV:64
Berndt KarlssonAGE:17PO:93OV:57
Darryl Craig (R)AGE:17PO:72OV:57

Défense #1Défense #2Gardien
Les Shigley (R)AGE:16PO:92OV:65
Gerhard Hylen (R)AGE:16PO:71OV:65
Paulus Torikka (R)AGE:16PO:96OV:64
Toby Willson (R)AGE:16PO:79OV:64
Kellen Spafford (R)AGE:16PO:83OV:63
Samuel KoldaAGE:17PO:75OV:63
Lars-Henrik Jouppi (R)AGE:18PO:91OV:61
Wyatt Kaiser (R)AGE:17PO:87OV:61
Dainis Ijabs (R)AGE:18PO:73OV:65
Tomaz Markelj (R)AGE:16PO:86OV:64
Denis Lifentov (R)AGE:16PO:99OV:62

Espoirs

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
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



Aucune nouvelle trouvée dans la base de données des nouvelles. Veuillez en créer une nouvelle.


Mariners Historique de transactions

[6/30/2026 6:55:59 PM] Berndt Karlsson was added to Mariners.
[6/30/2026 6:55:52 PM] Darryl Craig was added to Mariners.



Toby Willson est dehors pour 3 jours à cause de Sore Right Knee Injury.
Paulus Torikka est dehors pour 3 semaines à cause de Sprained Left Knee Injury.



Mariners 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
1Erin Corderoy540222231453-26188548746179312.38%2461005818.636670136199651114332353.96%40.901125
2Rudolf Kothaj63520025045021375115993321769.19%2691098017.2934518512620223261949.50%30.82515
3Jarred Kennelly400159260419-19118975948151310.51%293900922.52507612615965111317856.18%10.93523
4Pierre-Emile Middleton57775286361-21135117108216454.56%6151233221.374586131180055258100%00.5911
5Artsyom Marakow562170151321-192111008670149511.37%2161007817.9354511051471016371339.22%20.64213

Mariners 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
1Vitaly Lisutin30716399320.9192.47179931267409095552518130.68097
2Hollis Kitchen319155112400.9082.78184541058569303473413100.60075
3Dainis Ijabs67273370.9072.7039154317618831055330.55618
4Malcolm Downing2212330.9132.5210960246527324000.7504
5Von Ellacott309790.8933.1014542075701392200.66712

Mariners 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
1802436021143212262-5040101900632104135-3140141702511108127-19742123345462136888211259869595193843237279241420611933920.21%2105872.38%4869167251.97%829158852.20%544108450.18%175199216147331483737
2803726049222272189401713026111071052402013023111201137972273736003137919312229163382281836249685030417421845630.43%1513775.50%3806153952.37%838158153.00%567108752.16%165588716477381540796
2803726049222272189401713026111071052402013023111201137972273736003137919312229163382281836249685030417421845630.43%1513775.50%3806153952.37%838158153.00%567108752.16%165588716477381540796
38036280624421320584017140314110610154019140310310710439821336057313359078142576764938850542396869221419832325925.43%1785071.91%2936183551.01%753157047.96%552110849.82%172696516407391482752
48239220842724621927412110024131291111841181206014117108910924641766331419010511288787299199754255989139819852116329.86%1663777.71%1963190250.63%759147151.60%597115851.55%1840107516557431492748
582303107653211207441181203242108961241121904411103111-8932113445555445619316220556373387663233876238817581897137.57%1946268.04%1785156150.29%737148649.60%515104349.38%161780616858061679855
677273504524192213-2138121703213101112-113915180131191101-10751923195114342717312228676979670438224074934820191773218.08%1755568.57%3731145250.34%712145249.04%513103249.71%162488515617301477737
Total Saison régulière56123020403546212515281542-1428011298015271513762765-328111810602019612766777-1164315282520404821142735826178817134492960536001324168975763437013290137037627.45%122533672.57%1758961150051.27%54661072950.95%3855759950.73%118706499114525230106975426
Séries éliminatoires
3127500000363066510000020128624000001618-2143663990051515142811713316414373114317326411229.27%21671.43%017533851.78%15028652.45%8217646.59%268151242111222112
413760000033321624000001316-37520000020164143353860171691437129165132113541345035133824.24%24579.17%012525748.64%9819849.49%7918243.41%290165259118244123
5734000001719-23120000058-3422000001211161728452017901874081660186561813111436.36%9366.67%05512643.65%5210350.49%419543.16%134641316815377
Total Séries éliminatoires321715000008681515870000038362179800000484533486144230211338332105228637936225913304385808852428.24%541474.07%035572149.24%30058751.11%20245344.59%693382633299620313

Mariners 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
1Rudolf Kothaj3211142554054311268.73%1759418.58279700002138.71%00.8400
2Artsyom Marakow2591221-42066241108.18%747719.122351700001136.00%00.8800
3Pierre-Emile Middleton32615213109561214.96%3970622.08358160002210%00.5900
4Heyward Wahl25981721527625217.31%1447819.12257400012059.56%00.7100
5Erin Corderoy259817-23436326913.04%1348919.58527900022050.00%00.6900

Mariners 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
1Vitaly Lisutin2313910.9142.33136501536193803200
2Hollis Kitchen94410.9082.8255300262841270000
3Malcolm Downing10001.000025000860000