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Northmen
GP: 26 | W: 19 | L: 5 | OTL: 2 | P: 40
GF: 89 | GA: 70 | PP%: 12.24% | PK%: 62.86%
DG: Gabriel Bossé | Morale : 50 | Moyenne d’équipe : 73
Prochains matchs #342 vs Wild Wings

Centre de jeu
Crusaders
10-14-1, 21pts
3
5 Northmen
19-5-2, 40pts
Team Stats
L2SéquenceW3
7-5-0Fiche domicile10-3-0
3-9-1Fiche domicile9-2-2
4-6-0Derniers 10 matchs8-2-0
2.84Buts par match 3.42
3.56Buts contre par match 2.69
16.28%Pourcentage en avantage numérique12.24%
75.68%Pourcentage en désavantage numérique62.86%
Hydra
14-11-1, 29pts
3
4 Northmen
19-5-2, 40pts
Team Stats
OTL1SéquenceW3
7-5-0Fiche domicile10-3-0
7-6-1Fiche domicile9-2-2
5-4-1Derniers 10 matchs8-2-0
2.69Buts par match 3.42
2.65Buts contre par match 2.69
21.31%Pourcentage en avantage numérique12.24%
75.64%Pourcentage en désavantage numérique62.86%
Wild Wings
8-12-6, 22pts
2026-07-29
Northmen
19-5-2, 40pts
Statistiques d’équipe
W1SéquenceW3
5-5-5Fiche domicile10-3-0
3-7-1Fiche visiteur9-2-2
4-3-310 derniers matchs8-2-0
3.04Buts par match 3.42
3.88Buts contre par match 3.42
27.78%Pourcentage en avantage numérique12.24%
72.06%Pourcentage en désavantage numérique62.86%
Northmen
19-5-2, 40pts
2026-07-31
Stingers
8-15-3, 19pts
Statistiques d’équipe
W3SéquenceL4
10-3-0Fiche domicile4-6-2
9-2-2Fiche visiteur4-9-1
8-2-010 derniers matchs2-8-0
3.42Buts par match 2.81
2.69Buts contre par match 2.81
12.24%Pourcentage en avantage numérique21.54%
62.86%Pourcentage en désavantage numérique73.02%
Hydra
14-11-1, 29pts
2026-08-02
Northmen
19-5-2, 40pts
Statistiques d’équipe
OTL1SéquenceW3
7-5-0Fiche domicile10-3-0
7-6-1Fiche visiteur9-2-2
5-4-110 derniers matchs8-2-0
2.69Buts par match 3.42
2.65Buts contre par match 3.42
21.31%Pourcentage en avantage numérique12.24%
75.64%Pourcentage en désavantage numérique62.86%
Meneurs d'équipe
Buts
Anton Lebed
14
Passes
Maksim Zadoyanny
15
Points
Maksim Zadoyanny
26
Plus/Moins
Vince Varady
13
Victoires
Hansjurgen Thom
14
Pourcentage d’arrêts
Hansjurgen Thom
0.914

Statistiques d’équipe
Buts pour
89
3.42 GFG
Tirs pour
844
32.46 Avg
Pourcentage en avantage numérique
12.2%
6 GF
Début de zone offensive
36.9%
Buts contre
70
2.69 GAA
Tirs contre
795
30.58 Avg
Pourcentage en désavantage numérique
62.9%%
13 GA
Début de la zone défensive
37.3%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance4,747
Billets de saison1,250


Informations de la formation

Équipe Pro29
Équipe Mineure19
Limite Contrat48 / 55
Espoirs7


Historique d'équipe

Saison actuelle19-5-2 (40PTS)
Historique230-152-47 (0.536%)
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 Birdsell0X100.0077667686939653949268626770823412507803311,700,000$
2Anton Lebed0X100.0089648291998465936878565964686227507803021,450,000$
3Abram Korolyuk21X100.0049676693827991935278468439526323507703111,380,000$
4Devon Guptill55X98.0050416499827097978552617865525327507603131,470,000$
5Wendel Mackaness81X100.0099357173728969856357719992805252507602511,990,999$
6Erin Corderoy (R)27X100.003147738499909990705736804758457250750222800,000$
7Maksim Zadoyanny (R)0X100.004062727164848487618964647975827550740203900,000$
8Clayton Ferriero (R)71X100.009944879597705589774969538651357350730231800,000$
9Victor Shier12X100.009052929167954997946057307353900507103611,100,000$
10Deric Murray (R)26X100.009232598350996482463779994491477150710222800,000$
11Kirt Legare (R)99X100.008559788948886385826350594349456650700222800,000$
12Ismo-Pekka Makkonen (R)0X100.0063426582717657907739627671346371506802151,995,000$
13Misa Ylaja (R)78X100.0066467381848062612549359974408564507202241,950,000$
14Angel Jandora (R)0X100.006133907558749686255246839245325750700243955,525$
15Dalen Latour (R)0X99.005341609181686361256259845666897550700213800,000$
16Vince Varady6X100.0054535782478660852580359854769064506902341,300,000$
17Teo Rutar (R)0X100.0084317880707756782551308494354063506902421,990,000$
18Macgregor Yorke2X100.003653868636954871258072855250940506703711,500,000$
Rayé
1Lindon Stallworth23X100.0056418792967567896160717773599622507603051,600,000$
2Graeme Hampshire0X100.008136787694595080868444919353522050740321900,000$
3Tim Humonen28X100.005758949470676186905863897740606507403421,330,000$
4Coy Hillis20X100.0028369574666495879972843756749735507302731,456,817$
5Jacobus Adriaanse (R)0X100.0098505691968253806058902458826064507102241,852,000$
6Rainar Lamminsivu (R)0X100.009454918958696278745467613445436950690242990,000$
7Loik Lowrey43X100.006469867457766672256565987291476507203511,850,000$
8Fernando Langlois (R)0X100.0071549779556667992586617155476150507102511,998,999$
MOYENNE D’ÉQUIPE99.88684977857379678459635974666062455072
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)3099.007385866864778378746480756665507502021,000,000$
Rayé
1Carl-Johan Paakkala (R)0100.007988757399658869566569545959507602431,684,690$
MOYENNE D’ÉQUIPE99.6780827969817486776767736970605076
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
1Maksim ZadoyannyNorthmen (HAR)LW2511152611673573260254318.33%1345318.12213738000000053.57%2895011.1500304101
2Anton LebedNorthmen (HAR)RW261411251139256834101325013.86%1247818.41101340000002239.13%23258001.0400104331
3Devon GuptillNorthmen (HAR)C261112231155453799416111.11%645217.39000271012152049.40%415317001.0200001330
4Torrey BirdsellNorthmen (HAR)C2081119104115374659173113.56%535717.90000027000003155.44%39584001.0600111121
5Abram KorolyukNorthmen (HAR)LW2641418-1101014335418327.41%1741916.122134370000221131.58%57213000.8600020102
6Deric MurrayNorthmen (HAR)LW2511516920812771222515.49%1044517.810220370001182143.94%66168000.7200000334
7Victor ShierNorthmen (HAR)C23381110020203411298.82%023710.3200000000011055.56%72112000.9300000011
8Clayton FerrieroNorthmen (HAR)RW266511220481532162118.75%32549.7800000000000050.00%481000.8700000021
9Erin CorderoyNorthmen (HAR)LW2647111225256395519367.27%1547518.31112539000072143.90%4184000.4600230001
10Kirt LegareNorthmen (HAR)C22741143410463042162416.67%829113.2300000000005155.84%197135000.7600110103
11Misa YlajaNorthmen (HAR)D26099119533452510100%2352420.19000138011119000%0215000.3400010000
12Ismo-Pekka MakkonenNorthmen (HAR)LW25279-112103827298216.90%936314.55022239000000049.30%7164000.4900020110
13Lindon StallworthNorthmen (HAR)RW9538455471641031.25%211212.4700013101170137.50%883011.4300100100
14Loik LowreyNorthmen (HAR)D1308821010111421950%1428622.040000100001600100.00%1310000.5600101000
15Dalen LatourNorthmen (HAR)D26066112031442815120%3363224.33000540000021000%01116000.1900000001
16Vince VaradyNorthmen (HAR)D22055132420273215470%1939818.1300002000016000%0314000.2500112000
17Wendel MackanessNorthmen (HAR)RW232353804221264147.69%924710.75000020111181041.38%2944000.4000000020
18Teo RutarNorthmen (HAR)D2505566044302713100%2348019.2200013400007000%0015000.2100000000
19Coy HillisNorthmen (HAR)C31231000132233.33%03411.6100000000000062.50%4810001.7200000010
20Aleksandrs BerzsHarfangD80337472519135200%912615.840000000005000%012000.4700032000
21Fernando LangloisNorthmen (HAR)D1202235531910250%714612.180000000001000%025000.2700010001
22Angel JandoraNorthmen (HAR)D1102215571612070%621719.790000300002000%017000.1800001000
23Macgregor YorkeNorthmen (HAR)D3011000063100%14314.490000000003000%031000.4600000000
24Graeme HampshireNorthmen (HAR)RW1000000000000%011.450000000000000%00000000000000
25Tim HumonenNorthmen (HAR)C2000000001100%1136.69000000000000100.00%10000000000000
26Jesse PodloskiHarfangRW3000-20012352120%14013.340000000000000%13000000000000
27Matus PietorHarfangRW1000-100320010%088.530000000000000%10000000000000
Statistiques d’équipe totales ou en moyenne4588914823711836821064659383329446810.68%246754316.47671331405224717619851.23%1458198143020.6300111516151817
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)1914310.9142.59108700475492602000188310
2Fabio-Luca AebischerNorthmen (HAR)95210.9072.9047620232461221000817100
Statistiques d’équipe totales ou en moyenne2819520.9122.69156420707953823002625410


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 ManuallyNoNo12025-02-01FalseFalsePro & Farm1,380,000$138,000$96,694$No---------------------------
Angel JandoraNorthmen (HAR)D242004-02-20CZEYes168 Lbs5 ft7NoNoFree Agent2024-09-08NoNo32026-07-12FalseFalsePro & Farm955,525$95,552$66,951$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$101,599$No1,450,000$--------1,450,000$--------No--------
Carl-Johan PaakkalaNorthmen (HAR)G242004-10-08FINYes182 Lbs6 ft3NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,684,690$168,469$118,043$No1,684,690$1,684,690$-------1,684,690$1,684,690$-------NoNo-------
Clayton FerrieroNorthmen (HAR)RW232005-11-24USAYes247 Lbs6 ft7NoNoFree AgentNoNo12025-02-17FalseFalsePro & Farm800,000$80,000$56,054$No---------------------------
Coy HillisNorthmen (HAR)C272001-09-28USANo168 Lbs5 ft7NoNoAssign ManuallyNoNo32025-02-01FalseFalsePro & Farm1,456,817$145,682$102,077$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$56,054$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Deric MurrayNorthmen (HAR)LW222006-04-05CANYes186 Lbs5 ft6NoNoDraftNoNo22025-10-05FalseFalsePro & Farm800,000$80,000$56,054$No800,000$--------800,000$--------No--------
Devon GuptillNorthmen (HAR)C311997-01-28CANNo232 Lbs6 ft7NoNoTrade2025-02-25NoNo32026-05-03FalseFalsePro & Farm1,470,000$147,000$103,000$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$56,054$No800,000$--------800,000$--------No--------
Fabio-Luca AebischerNorthmen (HAR)G202008-03-20SUIYes217 Lbs6 ft8NoNoProspectNoNo22025-10-09FalseFalsePro & Farm1,000,000$100,000$70,068$No1,000,000$--------1,000,000$--------No--------
Fernando LangloisNorthmen (HAR)D252003-10-28CANYes183 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,998,999$199,900$140,066$No---------------------------
Graeme HampshireNorthmen (HAR)RW321996-01-09USANo190 Lbs5 ft8NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm900,000$90,000$63,061$No---------------------------
Hansjurgen ThomNorthmen (HAR)G192009-05-08GERYes178 Lbs5 ft10NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm900,000$90,000$63,061$No900,000$--------900,000$--------No--------
Ismo-Pekka MakkonenNorthmen (HAR)LW212007-04-01FINYes218 Lbs6 ft2NoNoFree AgentNoNo52026-05-31FalseFalsePro & Farm1,995,000$199,500$139,786$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$129,766$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$56,054$No800,000$--------800,000$--------No--------
Lindon StallworthNorthmen (HAR)RW301998-08-17USANo240 Lbs6 ft5NoNoTrade2024-02-08NoNo52026-05-03FalseFalsePro & Farm1,600,000$160,000$112,109$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-----
Loik LowreyNorthmen (HAR)D351993-02-23CANNo189 Lbs5 ft5NoNoFree Agent2024-03-31NoNo12025-10-28FalseFalsePro & Farm1,850,000$185,000$129,626$No---------------------------
Macgregor YorkeNorthmen (HAR)D371991-10-22CANNo174 Lbs5 ft9NoNoFree Agent2024-11-17NoNo12026-06-04FalseFalsePro & Farm1,500,000$150,000$105,102$No---------------------------
Maksim ZadoyannyNorthmen (HAR)LW202008-09-09RUSYes237 Lbs6 ft7NoNoDraftNoNo32026-05-09FalseFalsePro & Farm900,000$90,000$63,061$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$136,633$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$69,367$No990,000$--------990,000$--------No--------
Teo RutarNorthmen (HAR)D242004-04-08SLOYes241 Lbs6 ft6NoNoFree AgentNoNo22024-07-10FalseFalsePro & Farm1,990,000$199,000$139,435$No1,990,000$--------1,990,000$--------No--------
Tim HumonenNorthmen (HAR)C341994-01-10FINNo191 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,330,000$133,000$93,190$No1,330,000$--------1,330,000$--------No--------
Torrey BirdsellNorthmen (HAR)C331995-11-26CANNo230 Lbs6 ft8NoNoTrade2026-01-26NoNo12024-06-04FalseFalsePro & Farm1,700,000$170,000$119,116$No---------------------------
Victor ShierNorthmen (HAR)C361992-07-25CANNo170 Lbs5 ft10NoNoAssign ManuallyNoNo12026-05-02FalseFalsePro & Farm1,100,000$110,000$77,075$No---------------------------
Vince VaradyNorthmen (HAR)D232005-12-01HUNNo188 Lbs5 ft8NoNoAssign ManuallyNoNo42025-09-28FalseFalsePro & Farm1,300,000$130,000$91,088$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/ANoNo1FalseFalsePro & Farm1,990,999$199,100$139,505$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2926.17199 Lbs6 ft02.311,353,242$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Maksim ZadoyannyTorrey BirdsellAnton Lebed34014
2Deric MurrayDevon GuptillErin Corderoy33014
3Abram KorolyukKirt LegareIsmo-Pekka Makkonen23023
4Clayton FerrieroVictor ShierWendel Mackaness10032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince VaradyDalen Latour35041
2Teo RutarAngel Jandora35041
3Macgregor YorkeMisa Ylaja20041
4Vince VaradyDalen Latour10032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anton LebedDeric MurrayMaksim Zadoyanny50005
2Erin CorderoyIsmo-Pekka MakkonenAbram Korolyuk50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Torrey BirdsellTeo Rutar50014
2Misa YlajaDalen Latour50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Abram KorolyukDeric Murray50140
2Wendel MackanessDeric Murray50140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Macgregor YorkeVince Varady50140
2Misa YlajaDalen Latour50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Wendel Mackaness50122Macgregor YorkeVince Varady50122
2Deric Murray50122Misa YlajaDalen Latour50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Deric MurrayAbram Korolyuk50122
2Devon GuptillErin Corderoy50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Vince VaradyTeo Rutar50122
2Misa YlajaDalen Latour50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anton LebedKirt LegareAbram KorolyukDalen LatourTeo Rutar
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Erin CorderoyDevon GuptillAbram KorolyukMisa YlajaAngel Jandora
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Devon Guptill, Erin Corderoy, Maksim ZadoyannyDevon Guptill, Erin CorderoyDevon Guptill
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dalen Latour, Teo Rutar, Misa YlajaDalen LatourDalen Latour, Teo Rutar
Tirs de pénalité
Angel Jandora, Wendel Mackaness, Teo Rutar, Clayton Ferriero, Devon Guptill
Gardien
#1 : Fabio-Luca Aebischer, #2 : Hansjurgen Thom
Lignes d’attaque personnalisées en prolongation
Kirt Legare, Anton Lebed, Torrey Birdsell, Abram Korolyuk, Devon Guptill, Erin Corderoy, Maksim Zadoyanny, Wendel Mackaness, Clayton Ferriero, Victor Shier
Lignes de défense personnalisées en prolongation
Macgregor Yorke, Teo Rutar, Misa Ylaja, 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
1Bulldogs3300000014951100000043122000000106461.0001421350027283041062842772776973046817228.57%3166.67%127653451.69%25454146.95%21737458.02%586356538217441227
2Comets1010000024-2000000000001010000024-200.0002350027283042428427727762912720300.00%110.00%027653451.69%25454146.95%21737458.02%586356538217441227
3Crusaders330000001376220000008441100000053261.0001322350027283048228427727761053032837114.29%10100.00%027653451.69%25454146.95%21737458.02%586356538217441227
4Hornets1000010012-1000000000001000010012-110.5001120027283043228427727763010231100.00%10100.00%027653451.69%25454146.95%21737458.02%586356538217441227
5Hydra10001000431100010004310000000000021.000461000272830435284277277636891811100.00%220.00%027653451.69%25454146.95%21737458.02%586356538217441227
6Jacks1010000012-11010000012-10000000000000.0001230027283043628427727762962417500.00%2150.00%027653451.69%25454146.95%21737458.02%586356538217441227
7Jazz11000000413000000000001100000041321.0004711002728304382842772776215226100.00%10100.00%127653451.69%25454146.95%21737458.02%586356538217441227
8Phantoms11000000312110000003120000000000021.0003690027283042228427727763013027100.00%000%027653451.69%25454146.95%21737458.02%586356538217441227
9Rampage20200000410-620200000410-60000000000000.000461000272830463284277277660195353100.00%4250.00%027653451.69%25454146.95%21737458.02%586356538217441227
10Rock11000000422110000004220000000000021.00046100027283043128427727763014231300.00%10100.00%027653451.69%25454146.95%21737458.02%586356538217441227
11Spartans22000000642110000003211100000032141.000612180027283046128427727766818951300.00%2150.00%027653451.69%25454146.95%21737458.02%586356538217441227
12Stingers4300100016882100100053222000000115681.000162844002728304129284277277611435118927228.57%14471.43%027653451.69%25454146.95%21737458.02%586356538217441227
13Swamp Puppies1000010045-1000000000001000010045-110.500471100272830433284277277627131530400.00%000%027653451.69%25454146.95%21737458.02%586356538217441227
14Vipers21001000853110000003121000100054141.0008152300272830463284277277655221463400.00%20100.00%027653451.69%25454146.95%21737458.02%586356538217441227
15Wild Wings10001000431000000000001000100043121.000481200272830447284277277629121025000%000%027653451.69%25454146.95%21737458.02%586356538217441227
16Wolverines1010000014-3000000000001010000014-300.0001120027283044228427727763582721100.00%110.00%027653451.69%25454146.95%21737458.02%586356538217441227
Total261550420089701913830200039318137202200503911400.76989151240002728304844284277277679525537066949612.24%351362.86%227653451.69%25454146.95%21737458.02%586356538217441227
_Since Last GM Reset261550420089701913830200039318137202200503911400.76989151240002728304844284277277679525537066949612.24%351362.86%227653451.69%25454146.95%21737458.02%586356538217441227
_Vs Conference201330310075561910620200032275107101100432914330.82575126201002728304649284277277661619630351037616.22%291162.07%227653451.69%25454146.95%21737458.02%586356538217441227
_Vs Division96002000362610320010009636400100027207160.88936599500272830429228427727762679018622321419.05%18666.67%127653451.69%25454146.95%21737458.02%586356538217441227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2640W38915124084479525537066900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2615542008970
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
138320003931
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
137222005039
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
49612.24%351362.86%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
28427727762728304
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
27653451.69%25454146.95%21737458.02%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
586356538217441227


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 Wings-Northmen-
48 - 2026-07-31362Northmen-Stingers-
50 - 2026-08-02371Hydra-Northmen-
51 - 2026-08-03381Northmen-Kings-
53 - 2026-08-05393Northmen-Jazz-
55 - 2026-08-07411Wild Wings-Northmen-
57 - 2026-08-09425Rock-Northmen-
58 - 2026-08-10431Northmen-Guppies-
60 - 2026-08-12446Drillers-Northmen-
62 - 2026-08-14461Northmen-Hydra-
64 - 2026-08-16469Northmen-Auroras-
66 - 2026-08-18491Jazz-Northmen-
68 - 2026-08-20501Northmen-Bulldogs-
69 - 2026-08-21512Bulldogs-Northmen-
71 - 2026-08-23531Northmen-Wild Wings-
72 - 2026-08-24538Wolfpack-Northmen-
75 - 2026-08-27556Northmen-Jacks-
76 - 2026-08-28566Northmen-Rampage-
78 - 2026-08-30578Swamp Puppies-Northmen-
79 - 2026-08-31590Northmen-Spartans-
82 - 2026-09-03609Devils-Northmen-
83 - 2026-09-04618Bulldogs-Northmen-
85 - 2026-09-06627Northmen-Devils-
86 - 2026-09-07638Outlaws-Northmen-
88 - 2026-09-09654Northmen-Wolfpack-
90 - 2026-09-11669Hornets-Northmen-
92 - 2026-09-13681Auroras-Northmen-
93 - 2026-09-14693Northmen-Yeti-
96 - 2026-09-17711Northmen-Outlaws-
97 - 2026-09-18714Northmen-Bulldogs-
99 - 2026-09-20732Wild Wings-Northmen-
101 - 2026-09-22746Kings-Northmen-
103 - 2026-09-24761Stingers-Northmen-
104 - 2026-09-25769Comets-Northmen-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27781Northmen-Drillers-
109 - 2026-09-30802Northmen-Crusaders-
111 - 2026-10-02822Northmen-Phantoms-
113 - 2026-10-04827Northmen-Bulldogs-
115 - 2026-10-06850Northmen-Stingers-
116 - 2026-10-07857Northmen-Wild Wings-
118 - 2026-10-09870Guppies-Northmen-
120 - 2026-10-11884Northmen-Schooners-
121 - 2026-10-12890Northmen-Hydra-
124 - 2026-10-15909Wild Wings-Northmen-
125 - 2026-10-16918Schooners-Northmen-
127 - 2026-10-18926Wild Wings-Northmen-
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
Assistance37,16824,546
Assistance PCT95.30%94.41%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
27 4747 - 94.94% 166,907$2,169,793$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,379,487$ 3,924,403$ 3,924,403$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
3,924,403$ 1,229,832$ 29 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
4,506,493$ 103 30,098$ 3,100,094$




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
1Coy Hillis242539014331102832850110.58%56385315.92619251700025158.05%00.7414
2Lindon Stallworth2046658124304015421652012.69%75312115.3010122240101513939.67%20.7949
3Roch Fingland1745073123-177217320245311.04%66322818.569192830000111634.80%10.7603
4Anton Lebed12450701203614627813938912.85%48225118.151012222810139545.98%01.0702
5Jesse Podloski14975441193718844418551914.45%51250316.801171830000113443.03%10.95313

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
2Carl-Johan Paakkala1066027100.9212.32605812123429701612530.73315
3Hansjurgen Thom69411960.9122.723976211802047995500.50010
4Fabio-Luca Aebischer43221620.9112.842411211141283646200.8336
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
62615504200897019138302000393181372022005039114089151240002728304844284277277679525537066949612.24%351362.86%227653451.69%25454146.95%21737458.02%586356538217441227
Total Saison régulière42618715202926141812371135102213967001513910629555742139182014135860858028504123720163253811271466457651313039424633442924412881439534741032783319122.93%63414976.50%114594890351.60%4449871951.03%3113595652.27%942355548777372576203878
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