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Northmen
GP: 72 | W: 48 | L: 19 | OTL: 5 | P: 101
GF: 251 | GA: 211 | PP%: 24.26% | PK%: 68.81%
DG: Gabriel Bossé | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #946 vs Wolverines

Centre de jeu
Schooners
34-31-8, 76pts
2
7 Northmen
48-19-5, 101pts
Team Stats
W2SéquenceW3
17-15-4Fiche domicile22-12-1
17-16-4Fiche domicile26-7-4
7-3-0Derniers 10 matchs8-0-2
2.97Buts par match 3.49
3.25Buts contre par match 2.93
23.29%Pourcentage en avantage numérique24.26%
74.86%Pourcentage en désavantage numérique68.81%
Wild Wings
31-28-13, 75pts
3
4 Northmen
48-19-5, 101pts
Team Stats
OTL1SéquenceW3
18-11-7Fiche domicile22-12-1
13-17-6Fiche domicile26-7-4
2-4-4Derniers 10 matchs8-0-2
3.13Buts par match 3.49
3.53Buts contre par match 2.93
25.17%Pourcentage en avantage numérique24.26%
73.53%Pourcentage en désavantage numérique68.81%
Wolverines
29-34-8, 66pts
2026-10-21
Northmen
48-19-5, 101pts
Statistiques d’équipe
OTL1SéquenceW3
15-17-4Fiche domicile22-12-1
14-17-4Fiche visiteur26-7-4
4-5-110 derniers matchs8-0-2
2.80Buts par match 3.49
3.13Buts contre par match 3.49
24.00%Pourcentage en avantage numérique24.26%
72.78%Pourcentage en désavantage numérique68.81%
Yeti
40-24-8, 88pts
2026-10-23
Northmen
48-19-5, 101pts
Statistiques d’équipe
L1SéquenceW3
20-11-5Fiche domicile22-12-1
20-13-3Fiche visiteur26-7-4
5-3-210 derniers matchs8-0-2
3.29Buts par match 3.49
2.93Buts contre par match 3.49
26.51%Pourcentage en avantage numérique24.26%
70.00%Pourcentage en désavantage numérique68.81%
Northmen
48-19-5, 101pts
2026-10-25
Stingers
28-37-8, 64pts
Statistiques d’équipe
W3SéquenceL2
22-12-1Fiche domicile17-15-4
26-7-4Fiche visiteur11-22-4
8-0-210 derniers matchs4-4-2
3.49Buts par match 2.97
2.93Buts contre par match 2.97
24.26%Pourcentage en avantage numérique24.86%
68.81%Pourcentage en désavantage numérique73.63%
Meneurs d'équipe
Buts
Torrey Birdsell
30
Passes
Anton Lebed
41
Points
Anton Lebed
71
Plus/Moins
Misa Ylaja
17
Victoires
Hansjurgen Thom
33
Pourcentage d’arrêts
Hansjurgen Thom
0.91

Statistiques d’équipe
Buts pour
251
3.49 GFG
Tirs pour
2372
32.94 Avg
Pourcentage en avantage numérique
24.3%
41 GF
Début de zone offensive
37.9%
Buts contre
211
2.93 GAA
Tirs contre
2231
30.99 Avg
Pourcentage en désavantage numérique
68.8%%
34 GA
Début de la zone défensive
37.1%
Informations de l'équipe

Directeur généralGabriel Bossé
EntraîneurTosha Sotnikov
DivisionNortheast
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,775
Billets de saison1,250


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite Contrat48 / 55
Espoirs7


Historique d'équipe

Saison actuelle48-19-5 (101PTS)
Historique259-166-51 (0.544%)
Apparitions en séries éliminatoires 5
Historique en séries éliminatoires (W-L)33 - 34 (0.493%)
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
1Torrey Birdsell0X100.0077667686939653949268626770823412507803341,700,000$
2Anton Lebed17X100.0089648291998465936878565964686227507803021,450,000$
3Abram Korolyuk21X100.0049676693827991935278468439526323507703151,380,000$
4Lindon Stallworth23X100.0056418792967567896160717773599622507603051,600,000$
5Devon Guptill55X100.0050416499827097978552617865525327507603131,470,000$
6Wendel Mackaness81X100.0099357173728969856357719992805252507602541,990,999$
7Erin Corderoy (R)27X100.003147738499909990705736804758457250750222800,000$
8Maksim Zadoyanny (R)0X100.004062727164848487618964647975827550740203900,000$
9Clayton Ferriero (R)71X100.009944879597705589774969538651357350730234800,000$
10Deric Murray (R)26X100.009232598350996482463779994491477150710222800,000$
11Kirt Legare (R)99X100.008559788948886385826350594349456650700222800,000$
12Ismo-Pekka Makkonen (R)0X100.0063426582717657907739627671346371506802151,995,000$
13Yuvenaly Zhornyak (R)86X100.009055938058726074258154817892435950730234800,000$
14Misa Ylaja (R)78X100.0066467381848062612549359974408564507202241,950,000$
15Angel Jandora (R)24X100.006133907558749686255246839245325750700243955,525$
16Dalen Latour (R)0X100.005341609181686361256259845666897550700213800,000$
17Vince Varady6X100.0054535782478660852580359854769064506902341,300,000$
18Teo Rutar (R)0X100.0084317880707756782551308494354063506902421,990,000$
Rayé
1Graeme Hampshire0X100.008136787694595080868444919353522050740323900,000$
2Tim Humonen28X100.005758949470676186905863897740606507403421,330,000$
3Coy Hillis20X100.0028369574666495879972843756749735507302731,456,817$
4Victor Shier12X100.009052929167954997946057307353900507103611,100,000$
5Jacobus Adriaanse (R)0X100.0098505691968253806058902458826064507102241,852,000$
6Rainar Lamminsivu (R)0X100.009454918958696278745467613445436950690242990,000$
7Fernando Langlois (R)0X100.0071549779556667992586617155476150507102541,998,999$
8Macgregor Yorke0X100.003653868636954871258072855250940506703711,500,000$
MOYENNE D’ÉQUIPE100.00694878857379678559645974666062475073
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
1Hansjurgen Thom (R)33100.00897376678181878371726977865550780192900,000$
2Fabio-Luca Aebischer (R)30100.007385866864778378746480756665507502021,000,000$
Rayé
1Carl-Johan Paakkala (R)0100.007988757399658869566569545959507602431,684,690$
MOYENNE D’ÉQUIPE100.0080827969817486776767736970605076
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tosha Sotnikov86569095395471RUS583500,000$


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
1Anton LebedNorthmen (HAR)RW66304171129880176832136713414.08%20121218.37681417116000005356.94%726518001.1700529851
2Torrey BirdsellNorthmen (HAR)C653032621598601271281976310115.23%17119718.42651111116000156456.44%12973621011.0400336246
3Maksim ZadoyannyNorthmen (HAR)LW6922365812137852880154479114.29%28126018.26491312125000012045.26%952616010.9200458144
4Abram KorolyukNorthmen (HAR)LW72193453-653455284195581089.74%35124217.266814131310002764133.33%1566017100.8503423214
5Devon GuptillNorthmen (HAR)C72242145163210711002138714011.27%21108915.141125211015564049.61%7785920000.8312101440
6Deric MurrayNorthmen (HAR)LW672025451610021277167468311.98%31117317.5116781160002502246.67%1353421000.7700000546
7Erin CorderoyNorthmen (HAR)LW722024446716514109139419314.39%25133118.497815161280001464142.39%922315100.6600445034
8Kirt LegareNorthmen (HAR)C632114353563014371148478614.19%2589014.1455101042000007351.32%6433012000.7900240614
9Clayton FerrieroNorthmen (HAR)RW7213162962012541123548210.57%1277010.7000000000000262.50%32353000.7523000242
10Victor ShierNorthmen (HAR)C43111627-120205954101316710.89%755312.8800003000042250.38%395364000.9700121212
11Lindon StallworthNorthmen (HAR)RW38131023775182894294913.83%1848712.82224842101172141.88%117367010.9400100121
12Teo RutarNorthmen (HAR)D7012021328101431017535381.33%82144620.67033598000145000%0631000.2922101002
13Angel JandoraNorthmen (HAR)D5731720-1101034807823403.85%57122221.4401145700005000%0831000.3304002010
14Dalen LatourNorthmen (HAR)D721192045010771298344381.20%107173424.090227111000064000%02554000.2300200011
15Ismo-Pekka MakkonenNorthmen (HAR)LW7051318-2141084536522447.69%1785012.14033578000011148.15%1081012000.4200020211
16Misa YlajaNorthmen (HAR)D700171717155891045721260%69129818.54011188011168000%0434000.2600010000
17Wendel MackanessNorthmen (HAR)RW696713-2100129688222497.32%1369710.12011090112701043.82%891414000.3704000021
18Vince VaradyNorthmen (HAR)D520121215613553733918160%4595318.3300005000140000%0422000.2500115001
19Tim HumonenNorthmen (HAR)C11336-522105122181214.29%215414.09224514000012054.63%10881000.7700101000
20Fernando LangloisNorthmen (HAR)D27145755102919285.26%1230511.3010121600008100%046000.3300010001
21Yuvenaly ZhornyakNorthmen (HAR)D22145110104229237114.35%2541919.0600000000325000%0913100.2400011100
22Aleksandrs BerzsHarfangD90449472520145220%1113815.440000000005000%012000.5800032000
23Coy HillisNorthmen (HAR)C41231000132233.33%0389.5100000000000061.22%4910001.5800000010
24Graeme HampshireNorthmen (HAR)RW7033320544330%1456.4500000000000062.50%800001.3300000000
25Macgregor YorkeNorthmen (HAR)D1302200011815570%1218914.5500014000019000%046000.2100000000
26Matus PietorHarfangRW1000-100320010%088.530000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne1253245396641135858530172015722313784133110.59%6922071116.534165106130133222420607432051.23%4175538380330.62518303145363941
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
1Hansjurgen ThomNorthmen (HAR)49331130.9102.782850801321474680300.87584723711
2Fabio-Luca AebischerNorthmen (HAR)2715820.8963.1615002179757383101.000102545220
Statistiques d’équipe totales ou en moyenne76481950.9052.9143511012112231106340187268931


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
Abram KorolyukNorthmen (HAR)LW311997-05-13RUSNo176 Lbs5 ft5NoNoAssign ManuallyNoNo52026-10-19FalseFalsePro & Farm1,380,000$138,000$16,898$No1,779,000$1,779,000$1,779,000$1,779,000$-----1,779,000$1,779,000$1,779,000$1,779,000$-----NoNoNoNo-----
Angel JandoraNorthmen (HAR)D242004-02-20CZEYes168 Lbs5 ft7NoNoFree Agent2024-09-08NoNo32026-07-12FalseFalsePro & Farm955,525$95,552$11,700$No955,525$955,525$-------955,525$955,525$-------NoNo-------
Anton LebedNorthmen (HAR)RW301998-03-14RUSNo213 Lbs6 ft2NoNoTrade2026-06-03NoNo22026-05-03FalseFalsePro & Farm1,450,000$145,000$17,755$No1,450,000$--------1,450,000$--------No--------
Carl-Johan PaakkalaNorthmen (HAR)G242004-10-08FINYes182 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,684,690$168,469$20,629$No1,684,690$1,684,690$-------1,684,690$1,684,690$-------NoNo-------
Clayton FerrieroNorthmen (HAR)RW232005-11-24USAYes247 Lbs6 ft7NoNoFree AgentNoNo42026-10-19FalseFalsePro & Farm800,000$80,000$9,796$No980,000$980,000$980,000$------980,000$980,000$980,000$------NoNoNo------
Coy HillisNorthmen (HAR)C272001-09-28USANo168 Lbs5 ft7NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,456,817$145,682$17,839$No1,456,817$1,456,817$-------1,456,817$1,456,817$-------NoNo-------
Dalen LatourNorthmen (HAR)D212007-11-22CANYes174 Lbs5 ft9NoNoDraftNoNo32026-05-09FalseFalsePro & Farm800,000$80,000$9,796$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Deric MurrayNorthmen (HAR)LW222006-04-05CANYes186 Lbs5 ft6NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$9,796$No800,000$--------800,000$--------No--------
Devon GuptillNorthmen (HAR)C311997-01-28CANNo232 Lbs6 ft7NoNoTrade2025-02-25NoNo32026-05-03FalseFalsePro & Farm1,470,000$147,000$18,000$No1,470,000$1,470,000$-------1,470,000$1,470,000$-------NoNo-------
Erin CorderoyNorthmen (HAR)LW222006-07-15USAYes221 Lbs6 ft7NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$9,796$No800,000$--------800,000$--------No--------
Fabio-Luca AebischerNorthmen (HAR)G202008-03-20SUIYes217 Lbs6 ft8NoNoProspectNoNo22025-10-09FalseFalsePro & Farm1,000,000$100,000$12,245$No1,000,000$--------1,000,000$--------No--------
Fernando LangloisNorthmen (HAR)D252003-10-28CANYes183 Lbs5 ft9NoNoN/ANoNo42026-10-19FalseFalsePro & Farm1,998,999$199,900$24,478$No1,300,000$1,300,000$1,300,000$------1,300,000$1,300,000$1,300,000$------NoNoNo------
Graeme HampshireNorthmen (HAR)RW321996-01-09USANo190 Lbs5 ft8NoNoAssign ManuallyNoNo32026-10-19FalseFalsePro & Farm900,000$90,000$11,020$No983,000$983,000$-------983,000$983,000$-------NoNo-------
Hansjurgen ThomNorthmen (HAR)G192009-05-08GERYes178 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$11,020$No900,000$--------900,000$--------No--------
Ismo-Pekka MakkonenNorthmen (HAR)LW212007-04-01FINYes218 Lbs6 ft2NoNoFree AgentNoNo52026-05-31FalseFalsePro & Farm1,995,000$199,500$24,429$No1,995,000$1,995,000$1,995,000$1,995,000$-----1,995,000$1,995,000$1,995,000$1,995,000$-----NoNoNoNo-----
Jacobus AdriaanseNorthmen (HAR)C222006-11-15NEDYes217 Lbs6 ft2NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,852,000$185,200$22,678$No1,852,000$1,852,000$1,852,000$------1,852,000$1,852,000$1,852,000$------NoNoNo------
Kirt LegareNorthmen (HAR)C222006-02-01CANYes188 Lbs5 ft5NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$9,796$No800,000$--------800,000$--------No--------
Lindon StallworthNorthmen (HAR)RW301998-08-17USANo240 Lbs6 ft5NoNoTrade2024-02-08NoNo52026-05-03FalseFalsePro & Farm1,600,000$160,000$19,592$No1,600,000$1,600,000$1,600,000$1,600,000$-----1,600,000$1,600,000$1,600,000$1,600,000$-----NoNoNoNo-----
Macgregor YorkeNorthmen (HAR)D371991-10-22CANNo174 Lbs5 ft9NoNoFree Agent2024-11-17NoNo12026-06-04FalseFalsePro & Farm1,500,000$150,000$18,367$No---------------------------
Maksim ZadoyannyNorthmen (HAR)LW202008-09-09RUSYes237 Lbs6 ft7NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$11,020$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Misa YlajaNorthmen (HAR)D222006-07-26FINYes166 Lbs5 ft6NoNoAssign ManuallyNoNo42025-10-26FalseFalsePro & Farm1,950,000$195,000$23,878$No1,950,000$1,950,000$1,950,000$------1,950,000$1,950,000$1,950,000$------NoNoNo------
Rainar LamminsivuNorthmen (HAR)LW242004-06-04FINYes204 Lbs6 ft5NoNoTrade2024-11-08NoNo22024-07-13FalseFalsePro & Farm990,000$99,000$12,122$No990,000$--------990,000$--------No--------
Teo RutarNorthmen (HAR)D242004-04-08SLOYes241 Lbs6 ft6NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,990,000$199,000$24,367$No1,990,000$--------1,990,000$--------No--------
Tim HumonenNorthmen (HAR)C341994-01-10FINNo191 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,330,000$133,000$16,286$No1,330,000$--------1,330,000$--------No--------
Torrey BirdsellNorthmen (HAR)C331995-11-26CANNo230 Lbs6 ft8NoNoTrade2026-01-26NoNo42026-10-19FalseFalsePro & Farm1,700,000$170,000$20,816$No1,998,501$1,998,501$1,998,501$------1,998,501$1,998,501$1,998,501$------NoNoNo------
Victor ShierNorthmen (HAR)C361992-07-25CANNo170 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm1,100,000$110,000$13,469$No---------------------------
Vince VaradyNorthmen (HAR)D232005-12-01HUNNo188 Lbs5 ft8NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,300,000$130,000$15,918$No1,300,000$1,300,000$1,300,000$------1,300,000$1,300,000$1,300,000$------NoNoNo------
Wendel MackanessNorthmen (HAR)RW252003-05-12USANo186 Lbs6 ft3NoNoN/ANoNo42026-10-19FalseFalsePro & Farm1,990,999$199,100$24,380$No1,850,000$1,850,000$1,850,000$------1,850,000$1,850,000$1,850,000$------NoNoNo------
Yuvenaly ZhornyakNorthmen (HAR)D232005-04-16RUSYes195 Lbs6 ft1NoNoFree AgentNoNo42026-10-19FalseFalsePro & Farm800,000$800,000$97,959$No1,978,000$1,978,000$1,978,000$------1,978,000$1,978,000$15,000,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2925.76199 Lbs6 ft13.031,317,036$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton LebedTorrey BirdsellMaksim Zadoyanny34014
2Abram KorolyukKirt LegareDeric Murray31014
3Erin CorderoyLindon StallworthClayton Ferriero30023
4Ismo-Pekka MakkonenDevon GuptillWendel Mackaness5032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Teo RutarDalen Latour35041
2Yuvenaly ZhornyakAngel Jandora35041
3Misa YlajaVince Varady20041
4Angel JandoraDalen Latour10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maksim ZadoyannyTorrey BirdsellAnton Lebed50005
2Erin CorderoyKirt LegareDeric Murray50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Abram KorolyukAngel Jandora50014
2Lindon StallworthTeo Rutar50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Abram KorolyukDevon Guptill50140
2Wendel MackanessErin Corderoy50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Misa YlajaTeo Rutar50140
2Yuvenaly ZhornyakDalen Latour50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Wendel Mackaness50122Misa YlajaAngel Jandora50122
2Abram Korolyuk50122Yuvenaly ZhornyakDalen Latour50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Maksim ZadoyannyAbram Korolyuk50122
2Devon GuptillErin Corderoy50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Teo RutarAngel Jandora50122
2Yuvenaly ZhornyakDalen Latour50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton LebedTorrey BirdsellAbram KorolyukDalen LatourTeo Rutar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Erin CorderoyDevon GuptillAbram KorolyukYuvenaly ZhornyakAngel Jandora
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Devon Guptill, Erin Corderoy, Clayton FerrieroDevon Guptill, Erin CorderoyDevon Guptill
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalen Latour, Teo Rutar, Vince VaradyDalen LatourDalen Latour, Vince Varady
Tirs de pénalité
Angel Jandora, Wendel Mackaness, Abram Korolyuk, Clayton Ferriero, Devon Guptill
Gardien
#1 : Hansjurgen Thom, #2 : Fabio-Luca Aebischer
Lignes d’attaque personnalisées en prolongation
Deric Murray, Lindon Stallworth, Maksim Zadoyanny, Abram Korolyuk, Devon Guptill, Erin Corderoy, Anton Lebed, Wendel Mackaness, Clayton Ferriero, Kirt Legare
Lignes de défense personnalisées en prolongation
Teo Rutar, Misa Ylaja, Yuvenaly Zhornyak, Dalen Latour, Angel Jandora


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
1Auroras22000000633110000003211100000031241.0006101600539096136373280081741482614637342.86%20100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
2Bulldogs851010103323103200100011835310001022157140.875335184005390961325073280081741276907919717423.53%11281.82%1822156552.52%767153350.03%551103153.44%1640100414696141247633
3Comets2020000047-31010000023-11010000024-200.00046100053909613547328008174162241440600.00%2150.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
4Crusaders4400000018992200000084422000000105581.00018325000539096131267328008174112540321159333.33%10100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
5Devils211000005411010000023-11100000031220.50059140053909613597328008174170271546300.00%5260.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
6Drillers2020000068-21010000045-11010000023-100.000691500539096136673280081741711412533133.33%10100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
7Guppies210000101257100000103211100000093641.00012213300539096137273280081741581027408337.50%10100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
8Hornets2010010035-21010000023-11000010012-110.250347005390961369732800817417225860100.00%4175.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
9Hydra4100210012102210010006422000110066070.8751218300053909613147732800817411284734748225.00%7357.14%0822156552.52%767153350.03%551103153.44%1640100414696141247633
10Jacks20200000310-71010000012-11010000028-600.0003580053909613687328008174169185745800.00%6350.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
11Jazz31200000101001010000034-12110000076120.33310152500539096131067328008174184265782200.00%60100.00%1822156552.52%767153350.03%551103153.44%1640100414696141247633
12Kings22000000413110000001011100000031241.0004590153909613667328008174145282837200.00%4175.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
13Outlaws20200000513-81010000027-51010000036-300.000571200539096136473280081741762438585240.00%440.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
14Phantoms21001000853110000003121000100054141.000814220053909613687328008174166284466233.33%2150.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
15Rampage31200000914-520200000410-61100000054120.33391524005390961310673280081741913692722150.00%6350.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
16Rock21100000651211000006510000000000020.500610160053909613607328008174156212157700.00%30100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
17Schooners21000100954110000007251000010023-130.7509162500539096135473280081741512127486350.00%10100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
18Spartans330000001183110000003212200000086261.00011203100539096138173280081741952423666233.33%4175.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
19Stingers76001000271512320010001174440000001688141.0002744710053909613230732800817412085814815217529.41%19668.42%0822156552.52%767153350.03%551103153.44%1640100414696141247633
20Swamp Puppies2010010069-31010000024-21000010045-110.250611170053909613687328008174165242554800.00%000%0822156552.52%767153350.03%551103153.44%1640100414696141247633
21Vipers21001000853110000003121000100054141.000815230053909613637328008174155221463400.00%20100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
22Wild Wings83002120302195200111019154310010101165150.938304676005390961328373280081741232706822324625.00%90100.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
23Wolfpack21100000111011010000056-11100000064220.50011172800539096138273280081741561630528337.50%5420.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
24Wolverines1010000014-3000000000001010000014-300.000112005390961342732800817413582721100.00%110.00%0822156552.52%767153350.03%551103153.44%1640100414696141247633
25Yeti11000000422000000000001100000042221.0004812005390961325732800817413710111711100.00%3166.67%0822156552.52%767153350.03%551103153.44%1640100414696141247633
Total723619085402512114035161204120111100113720704420140111291010.7012514096600153909613237273280081741223173790517811694124.26%1093468.81%2822156552.52%767153350.03%551103153.44%1640100414696141247633
_Since Last GM Reset723619085402512114035161204120111100113720704420140111291010.7012514096600153909613237273280081741223173790517811694124.26%1093468.81%2822156552.52%767153350.03%551103153.44%1640100414696141247633
_Vs Conference48269064301751363924126041108268142414302320936825740.7711752844590053909613156573280081741147348162011801122623.21%691676.81%2822156552.52%767153350.03%551103153.44%1640100414696141247633
_Vs Division19141041307054168600311026224118101020443212431.1327011218200539096136027328008174161119626644348918.75%32971.88%1822156552.52%767153350.03%551103153.44%1640100414696141247633

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72101W325140966023722231737905178101
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7236198540251211
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3516124120111100
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
372074420140111
Derniers 10 matchs
WLOTWOTL SOWSOL
800200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1694124.26%1093468.81%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
7328008174153909613
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
822156552.52%767153350.03%551103153.44%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1640100414696141247633


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 - 2026-06-1411Northmen4Wild Wings3WXSommaire du match
2 - 2026-06-1516Crusaders1Northmen3WSommaire du match
5 - 2026-06-1836Phantoms1Northmen3WSommaire du match
6 - 2026-06-1947Rampage7Northmen2LSommaire du match
8 - 2026-06-2160Spartans2Northmen3WSommaire du match
10 - 2026-06-2377Northmen4Swamp Puppies5LXSommaire du match
11 - 2026-06-2480Northmen1Hornets2LXSommaire du match
13 - 2026-06-2698Rock2Northmen4WSommaire du match
15 - 2026-06-28106Northmen4Bulldogs3WSommaire du match
16 - 2026-06-29120Stingers1Northmen2WXSommaire du match
18 - 2026-07-01135Jacks2Northmen1LSommaire du match
20 - 2026-07-03147Northmen4Jazz1WSommaire du match
22 - 2026-07-05168Northmen1Wolverines4LSommaire du match
23 - 2026-07-06175Northmen3Spartans2WSommaire du match
25 - 2026-07-08183Northmen6Bulldogs3WSommaire du match
27 - 2026-07-10201Bulldogs3Northmen4WSommaire du match
29 - 2026-07-12218Northmen7Stingers2WSommaire du match
31 - 2026-07-14230Vipers1Northmen3WSommaire du match
33 - 2026-07-16244Rampage3Northmen2LSommaire du match
34 - 2026-07-17254Stingers2Northmen3WSommaire du match
36 - 2026-07-19270Northmen5Vipers4WXSommaire du match
37 - 2026-07-20274Northmen5Crusaders3WSommaire du match
40 - 2026-07-23294Northmen2Comets4LSommaire du match
41 - 2026-07-24308Northmen4Stingers3WSommaire du match
43 - 2026-07-26318Crusaders3Northmen5WSommaire du match
44 - 2026-07-27329Hydra3Northmen4WXSommaire du match
46 - 2026-07-29342Wild Wings2Northmen4WSommaire du match
48 - 2026-07-31362Northmen3Stingers2WSommaire du match
50 - 2026-08-02371Hydra1Northmen2WSommaire du match
51 - 2026-08-03381Northmen3Kings1WSommaire du match
53 - 2026-08-05393Northmen3Jazz5LSommaire du match
55 - 2026-08-07411Wild Wings4Northmen3LXSommaire du match
57 - 2026-08-09425Rock3Northmen2LSommaire du match
58 - 2026-08-10431Northmen9Guppies3WSommaire du match
60 - 2026-08-12446Drillers5Northmen4LSommaire du match
62 - 2026-08-14461Northmen4Hydra3WXSommaire du match
64 - 2026-08-16469Northmen3Auroras1WSommaire du match
66 - 2026-08-18491Jazz4Northmen3LSommaire du match
68 - 2026-08-20501Northmen4Bulldogs1WSommaire du match
69 - 2026-08-21512Bulldogs2Northmen3WXSommaire du match
71 - 2026-08-23531Northmen2Wild Wings1WXXSommaire du match
72 - 2026-08-24538Wolfpack6Northmen5LSommaire du match
75 - 2026-08-27556Northmen2Jacks8LSommaire du match
76 - 2026-08-28566Northmen5Rampage4WSommaire du match
78 - 2026-08-30578Swamp Puppies4Northmen2LSommaire du match
79 - 2026-08-31590Northmen5Spartans4WSommaire du match
82 - 2026-09-03609Devils3Northmen2LSommaire du match
83 - 2026-09-04618Bulldogs3Northmen4WSommaire du match
85 - 2026-09-06627Northmen3Devils1WSommaire du match
86 - 2026-09-07638Outlaws7Northmen2LSommaire du match
88 - 2026-09-09654Northmen6Wolfpack4WSommaire du match
90 - 2026-09-11669Hornets3Northmen2LSommaire du match
92 - 2026-09-13681Auroras2Northmen3WSommaire du match
93 - 2026-09-14693Northmen4Yeti2WSommaire du match
96 - 2026-09-17711Northmen3Outlaws6LSommaire du match
97 - 2026-09-18714Northmen3Bulldogs4LSommaire du match
99 - 2026-09-20732Wild Wings3Northmen4WXXSommaire du match
101 - 2026-09-22746Kings0Northmen1WSommaire du match
103 - 2026-09-24761Stingers4Northmen6WSommaire du match
104 - 2026-09-25769Comets3Northmen2LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27781Northmen2Drillers3LSommaire du match
109 - 2026-09-30802Northmen5Crusaders2WSommaire du match
111 - 2026-10-02822Northmen5Phantoms4WXSommaire du match
113 - 2026-10-04827Northmen5Bulldogs4WXXSommaire du match
115 - 2026-10-06850Northmen2Stingers1WSommaire du match
116 - 2026-10-07857Northmen5Wild Wings2WSommaire du match
118 - 2026-10-09870Guppies2Northmen3WXXSommaire du match
120 - 2026-10-11884Northmen2Schooners3LXSommaire du match
121 - 2026-10-12890Northmen2Hydra3LXSommaire du match
124 - 2026-10-15909Wild Wings3Northmen4WSommaire du match
125 - 2026-10-16918Schooners2Northmen7WSommaire du match
127 - 2026-10-18926Wild Wings3Northmen4WXSommaire du match
130 - 2026-10-21946Wolverines-Northmen-
132 - 2026-10-23964Yeti-Northmen-
134 - 2026-10-25975Northmen-Stingers-
136 - 2026-10-27988Bulldogs-Northmen-
139 - 2026-10-301005Northmen-Rock-
141 - 2026-11-011012Spartans-Northmen-
143 - 2026-11-031024Stingers-Northmen-
145 - 2026-11-051036Northmen-Wild Wings-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance100,35566,777
Assistance PCT95.58%95.40%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
5 4775 - 95.50% 167,666$5,868,306$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
4,219,648$ 4,539,403$ 4,539,403$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,539,403$ 3,780,887$ 29 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
838,329$ 18 34,282$ 617,076$




Northmen 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
1Anton Lebed164661001663720538618850113.17%56298418.2015203542101312649.45%01.1102
2Coy Hillis243539014331102832850110.58%56385615.87619251700025158.03%00.7414
3Lindon Stallworth2337465139334216823759812.37%91349615.0112142647101515940.46%20.8049
4Victor Shier2065378131115434120847411.18%46297214.438111917000012553.36%00.8811
5Roch Fingland1745073123-177217320245311.04%66322818.569192830000111634.80%10.7603

Northmen 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
1Rylee Hak1738767160.9122.631017386446505423071540.68169
2Hansjurgen Thom99602780.9112.77573910126529721415600.66718
3Carl-Johan Paakkala1066027100.9212.32605812123429701612530.73315
4Fabio-Luca Aebischer61322230.9052.973435221701794907200.93816
5Jindrich Bojko209640.9112.78114501535963631003

Northmen 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
180302905943194202-84014140262298105-7401615033219697-1901943255192147726611233568678582759232378765219921573622.93%1233174.80%1819160551.03%769149051.61%505100650.20%168092616617401521775
28036290741321118130401914033011068719401715041121059411952113505613541837910239477281778136223978763520111853921.08%1102379.09%2852168650.53%795159949.72%544106251.22%1754100916097141470745
3803432053332342181640211103131127953240132102202107123-16902343846182148928616231963087979249249383152619281593522.01%1113271.17%2806158550.85%883168452.43%623114354.51%1748102416746991429734
48031270655624723710401412052341291227401715013221181153952473846311255829918250075687783867249691065419271363324.26%1542881.82%3895166853.66%869170550.97%620115053.91%1797107716656911408710
5804130023132622273540201600112130115154021140220113211220942624226840253109976273881499891427253582563718001474228.57%1012278.22%1946182551.84%879170051.71%604122149.47%1856116016276601347685
6723619085402512114035161204120111100113720704420140111291012514096600153909613237273280081741223173790517811694124.26%1093468.81%2822156552.52%767153350.03%551103153.44%1640100414696141247633
Total Saison régulière47220816603329181813991276123235104790171411107016247723710487016157869865246565139922743673812297528523741465843905156496927914317487740091143995322623.71%70817075.99%115140993451.74%4962971151.10%3447661352.12%1047862019709412284254284
Séries éliminatoires
1171070000051391284400000251879630000026215205179130001326111543187182165951517912947530826.67%24483.33%118035650.56%17032152.96%10422147.06%379225354151299148
2514000001524-921100000710-330300000814-621526411024811643361551518765321222150.00%6433.33%15510751.40%539655.21%429046.67%12577103419350
3624000001419-530300000413-932100000106441423370164401945854802225665714022100.00%11463.64%06412750.39%7914654.11%417852.56%130801265010350
41266000004041-16420000022193624000001822-41240671070071614339998127161133901304728614321.43%22577.27%111623150.22%15125958.30%10418356.83%264159266106211106
5271413000008591-61510500000494361248000003648-12288514322800143236397026032234840891273200622531222.64%401172.50%034764953.47%29857252.10%22845450.22%667422530221464243
Total Séries éliminatoires67333400000205214-93419150000010710343314190000098111-1366205338543114282738227063674680979220871346516451012625.74%1032872.82%3762147051.84%751139453.87%519102650.58%156796513815721172598

Northmen 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
1Victor Shier45141630-32805812611.11%2176416.99224300003255.45%00.7800
2Lindon Stallworth441014241622401258.00%866515.13246500003041.27%00.7200
3Anton Lebed2711122323653297115.49%1049918.48134400001053.57%00.9200
4Roch Fingland2891322-21520337911.39%1153819.24213300002051.85%00.8200
5Conrad Montebruno1499181264274420.45%626619.03000000000157.89%01.3501

Northmen 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
1Carl-Johan Paakkala2012610.9272.28118421456133503000
2Hansjurgen Thom1810710.8883.51104220615442431000
3Rylee Hak2071020.8913.66114920706402972100
4Fabio-Luca Aebischer114410.9142.9161900303471801000
5Jindrich Bojko20200.8893.5311900763320000