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Rock
GP: 52 | W: 24 | L: 23 | OTL: 5 | P: 53
GF: 164 | GA: 169 | PP%: 30.95% | PK%: 75.89%
DG: Casey Schuhmacher | Morale : 50 | Moyenne d’équipe : 71
Prochains matchs #624 vs Hornets

Centre de jeu
Stingers
17-30-5, 39pts
2
4 Rock
24-23-5, 53pts
Team Stats
L6SéquenceSOL1
11-15-4Fiche domicile13-10-1
6-15-1Fiche domicile11-13-4
2-8-0Derniers 10 matchs5-4-1
2.63Buts par match 3.15
3.71Buts contre par match 3.25
20.62%Pourcentage en avantage numérique30.95%
74.31%Pourcentage en désavantage numérique75.89%
Rock
24-23-5, 53pts
2
3 Wolfpack
24-18-8, 56pts
Team Stats
SOL1SéquenceW2
13-10-1Fiche domicile12-12-2
11-13-4Fiche domicile12-6-6
5-4-1Derniers 10 matchs6-3-1
3.15Buts par match 3.22
3.25Buts contre par match 3.18
30.95%Pourcentage en avantage numérique26.67%
75.89%Pourcentage en désavantage numérique72.73%
Rock
24-23-5, 53pts
2026-02-01
Hornets
30-16-6, 66pts
Statistiques d’équipe
SOL1SéquenceL1
13-10-1Fiche domicile14-9-1
11-13-4Fiche visiteur16-7-5
5-4-110 derniers matchs4-4-2
3.15Buts par match 2.94
3.25Buts contre par match 2.94
30.95%Pourcentage en avantage numérique26.09%
75.89%Pourcentage en désavantage numérique71.05%
Northmen
28-20-4, 60pts
2026-02-03
Rock
24-23-5, 53pts
Statistiques d’équipe
W4SéquenceSOL1
14-13-2Fiche domicile13-10-1
14-7-2Fiche visiteur11-13-4
8-2-010 derniers matchs5-4-1
3.31Buts par match 3.15
3.04Buts contre par match 3.15
33.75%Pourcentage en avantage numérique30.95%
76.56%Pourcentage en désavantage numérique75.89%
Yeti
27-17-7, 61pts
2026-02-05
Rock
24-23-5, 53pts
Statistiques d’équipe
L2SéquenceSOL1
16-4-4Fiche domicile13-10-1
11-13-3Fiche visiteur11-13-4
3-4-310 derniers matchs5-4-1
2.94Buts par match 3.15
2.88Buts contre par match 3.15
20.88%Pourcentage en avantage numérique30.95%
72.22%Pourcentage en désavantage numérique75.89%
Meneurs d'équipe
Buts
Leo Panas
25
Passes
Leo Panas
28
Points
Leo Panas
53
Plus/Moins
Radan Vojta
13
Victoires
Marc-Etienne Hansey
20
Pourcentage d’arrêts
Marc-Etienne Hansey
0.91

Statistiques d’équipe
Buts pour
164
3.15 GFG
Tirs pour
1592
30.62 Avg
Pourcentage en avantage numérique
31.0%
26 GF
Début de zone offensive
37.2%
Buts contre
169
3.25 GAA
Tirs contre
1692
32.54 Avg
Pourcentage en désavantage numérique
75.9%%
34 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralCasey Schuhmacher
EntraîneurWesley Gillis
DivisionSouth East Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,870
Billets de saison300


Informations de la formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 55
Espoirs5


Historique d'équipe

Saison actuelle24-23-5 (53PTS)
Historique122-194-39 (0.344%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
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
1Ignat Maksimenko (R)0X100.008163459196897653696472896367736650760183900,000$
2Sacha Taverner23X100.00993764546393858098806260375548150750381895,133$
3Leo Panas0X100.005439998659997178694997737885699507503211,654,865$
4Curtis Boogard (R)0X100.0076504386779178547479667970636265507501931,000,000$
5Radan Vojta (R)0X100.0074727276827191956351895864636969507401831,000,000$
6Anton Kurali36X99.0072617191796571676687487682413635507303021,350,000$
7Dennis Wilks17X100.0077349254786582899072903575836160507302321,250,000$
8Thor Souchotte45X100.00926276608971488875773780567055250710381783,293$
9Boof Eccleston74X100.004041647580875181928460529535384050710271751,260$
10Eetu-Pekka Klemettinen13X100.009839735764576681828949699236972750700301700,000$
11Gore Tenney15X100.004059649172646286807442753482541850700311700,000$
12Bert Schedin (R)0X100.006550898752996069794984525588496350690213800,000$
13Nichlas Bjorklund19X99.3344629678807552952578459992624557507402521,800,000$
14Carl Svensson (R)0X100.0056375891658165782553719865883557507102421,900,950$
15Jean-Francois Soehner0X100.003344976280535569258541939860561050670331700,000$
16Konrad Turkiewicz (R)0X100.002757715772807778258032798747516750670222800,000$
17Tristen Mailloux (R)0X100.007848567936999683254063526871576950670213800,000$
18Beauregard Pantall0X100.005064577488565368256071606634654850650261700,000$
Rayé
1Billy Fonteyne27X98.857656946269647169989452753486904050740282998,354$
2Duncan Dorowicz (R)0X100.0074597792808466629043536759697957506902451,200,000$
3Yakov Shukayev0X100.005941825857535881658094393577465350660251700,000$
4Vladimir Aleksandrov (R)4X100.008558556853875084256764563692397750670221700,000$
MOYENNE D’ÉQUIPE99.87665273747177677762706369666658455071
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
1Channing Jerome31100.00595788817998705893764590901507603611,250,000$
2Marc-Etienne Hansey (R)097.009778957967607863707691764161507602251,700,000$
Rayé
1Feliks Pirttijarvi0100.007284787081756661506162649834507002811,267,500$
MOYENNE D’ÉQUIPE99.0076738777767871617171667776325074
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Wesley Gillis62613972529657CAN452200,000$


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
1Leo PanasRock (DYN)C4525285311101044821866310113.44%2893520.781788552026902148.11%9814119101.1324002660
2Ignat MaksimenkoRock (DYN)RW5116233913925013188113326914.16%2093918.424371065011154133.33%664128000.8315325304
3Radan VojtaRock (DYN)RW491820381312585103611575910411.46%2084117.171344220110162150.68%733118000.9025746206
4Sacha TavernerRock (DYN)LW5217203711321013576144398011.81%30106220.4234711670004992246.77%621821000.7016200352
5Boof EcclestonRock (DYN)LW31181230-61003433109266216.51%1661319.775497381013552247.06%34137000.9812000213
6Anton KuraliRock (DYN)C45131528-73430817998306813.27%2272416.102243300114503143.50%6623113000.7701141240
7Conrade DoleDynastyD2311718-2251510534518152.22%3154923.90134624000147000%01713000.6500021002
8Billy FonteyneRock (DYN)LW43413171115154541459268.89%1054612.711011190001430056.67%30610000.6200201021
9Vladimir AleksandrovRock (DYN)D43214164713579644115184.88%4491021.17224445011092010%01027000.3500214011
10Dennis WilksRock (DYN)RW5241115-60053118631554.65%14879.3800002000001046.67%15122000.6100000011
11Gore TenneyRock (DYN)LW527714-13242029477932408.86%1762211.9600000000030047.06%17269000.4500013000
12Carl SvenssonRock (DYN)D4041014439549915329167.55%5588822.21303452000075100%01133000.3201001111
13Eetu-Pekka KlemettinenRock (DYN)C455813-1140845447242910.64%1554612.14022190000101047.97%27177000.4811000100
14Curtis BoogardRock (DYN)RW525813-187735111616717437.46%1869313.34134542000000041.67%601012000.3737214001
15Konrad TurkiewiczRock (DYN)D52011111132201056221480%3582315.840000100006000%0120000.2700112001
16Kory EllisDynastyD4201010-651259863452590%5496222.91022048000078000%01146000.2100311000
17Nichlas BjorklundRock (DYN)D24099-317155422513200%3349620.70033232000026000%0625000.3600300000
18Yakov ShukayevRock (DYN)C31639-320292349143212.24%340913.2000001000041042.03%207153000.4400000010
19Beauregard PantallRock (DYN)D16077-42315192412370%1336122.61022023000024000%0414000.3900120000
20Jean-Francois SoehnerRock (DYN)D5216795510542812133.57%5685016.3500007000037000%0334000.1612010000
21Tristen MaillouxRock (DYN)D34167-7241070473819142.63%3173121.52101338000159000%0716000.1900101001
22Thor SouchotteRock (DYN)C222351203115241298.33%11958.8800000000000058.06%6219000.5100000001
23Bert SchedinRock (DYN)LW33235-40014193016156.67%42607.8800000000000033.33%6144000.3800000000
24Duncan DorowiczRock (DYN)RW14000-22210965220%2886.3300000000040055.56%91200000011000
Statistiques d’équipe totales ou en moyenne943151264415-47364101283119015485548559.75%5591554016.48254065696333472183519946.22%2555337392100.531234282133202225
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
1Marc-Etienne HanseyRock (DYN)40201550.9102.992368001181315772300.640253913351
2Feliks PirttijarviRock (DYN)82300.8564.503600027187890000630010
3Channing JeromeRock (DYN)72500.8942.82426002018981010.833679000
Statistiques d’équipe totales ou en moyenne55242350.9023.14315600165169194231315252361


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
Anton KuraliRock (DYN)C301997-02-20SVKNo196 Lbs6 ft2NoNoTrade2025-12-18NoNo22025-10-26FalseFalsePro & Farm1,350,000$135,000$51,993$No1,350,000$--------1,350,000$--------No--------
Beauregard PantallRock (DYN)D262001-04-19USANo189 Lbs6 ft3NoNoTrade2024-02-20NoNo1FalseFalsePro & Farm700,000$70,000$26,959$No---------------------------
Bert SchedinRock (DYN)LW212006-08-12SWEYes171 Lbs5 ft7NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$30,811$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Billy FonteyneRock (DYN)LW281999-12-18CANNo215 Lbs6 ft0NoNoTrade2024-02-16NoNo2FalseFalsePro & Farm998,354$99,835$38,450$No998,354$--------998,354$--------No--------
Boof EcclestonRock (DYN)LW272000-10-11USANo185 Lbs6 ft0NoNoFree AgentNoNo12025-12-09FalseFalsePro & Farm751,260$75,126$28,934$No---------------------------
Carl SvenssonRock (DYN)D242003-11-04SWEYes211 Lbs6 ft3NoNoTrade2025-06-21NoNo2FalseFalsePro & Farm1,900,950$190,095$73,212$No1,900,950$--------1,900,950$--------No--------
Channing JeromeRock (DYN)G361991-01-13CANNo207 Lbs6 ft3NoNoFree AgentNoNo12026-01-04FalseFalsePro & Farm1,250,000$125,000$48,142$No---------------------------
Curtis BoogardRock (DYN)RW192008-12-27CANYes192 Lbs6 ft2NoNoDraftNoNo32025-10-09FalseFalsePro & Farm1,000,000$100,000$38,514$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Dennis WilksRock (DYN)RW232004-01-15CANNo219 Lbs6 ft7NoNoAssign ManuallyNoNo22025-02-01FalseFalsePro & Farm1,250,000$125,000$48,142$No1,250,000$--------1,250,000$--------No--------
Duncan DorowiczRock (DYN)RW242003-11-27CANYes192 Lbs5 ft11NoNoAssign ManuallyNoNo52025-09-28FalseFalsePro & Farm1,200,000$120,000$46,216$No1,200,000$1,200,000$1,200,000$1,200,000$-----1,200,000$1,200,000$1,200,000$1,200,000$-----NoNoNoNo-----
Eetu-Pekka KlemettinenRock (DYN)C301997-12-22FINNo215 Lbs6 ft8NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm700,000$70,000$26,959$No---------1,050,000$-----------------
Feliks PirttijarviRock (DYN)G281999-12-13FINNo184 Lbs5 ft5NoNoTrade2024-03-17NoNo1FalseFalsePro & Farm1,267,500$126,750$48,816$No---------------------------
Gore TenneyRock (DYN)LW311996-05-03USANo240 Lbs6 ft8NoNoAssign ManuallyNoNo12025-10-26FalseFalsePro & Farm700,000$70,000$26,959$No---------------------------
Ignat MaksimenkoRock (DYN)RW182009-07-24BLRYes195 Lbs6 ft7NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm900,000$90,000$34,662$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Jean-Francois SoehnerRock (DYN)D331994-06-18CANNo243 Lbs6 ft8NoNoAssign Manually2024-07-18NoNo12025-09-28FalseFalsePro & Farm700,000$70,000$26,959$No---------------------------
Konrad TurkiewiczRock (DYN)D222005-06-20CANYes214 Lbs6 ft7NoNoFree AgentNoNo22025-02-17FalseFalsePro & Farm800,000$80,000$30,811$No800,000$--------800,000$--------No--------
Leo PanasRock (DYN)C321995-10-02CANNo229 Lbs6 ft4NoNoN/ANoNo12024-06-04FalseFalsePro & Farm1,654,865$165,486$63,734$No---------------------------
Marc-Etienne HanseyRock (DYN)G222005-10-20CANYes182 Lbs5 ft5NoNoAssign Manually2025-06-03NoNo52025-09-28FalseFalsePro & Farm1,700,000$170,000$65,473$No1,700,000$1,700,000$1,700,000$1,700,000$-----1,700,000$1,700,000$1,700,000$1,700,000$-----NoNoNoNo-----
Nichlas BjorklundRock (DYN)D252002-05-05SWENo248 Lbs6 ft6NoNoTrade2025-12-18NoNo22025-09-28FalseFalsePro & Farm1,800,000$180,000$69,324$No1,800,000$--------1,800,000$--------No--------
Radan VojtaRock (DYN)RW182009-09-11CZEYes202 Lbs6 ft8NoNoAssign ManuallyNoNo32025-10-09FalseFalsePro & Farm1,000,000$100,000$38,514$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------
Sacha TavernerRock (DYN)LW381989-09-04CANNo211 Lbs6 ft4NoNoAssign Manually2025-06-18NoNo12025-10-26FalseFalsePro & Farm895,133$89,513$34,475$No---------------------------
Thor SouchotteRock (DYN)C381989-05-15CANNo183 Lbs5 ft8NoNoFree Agent2025-02-23NoNo12025-12-25FalseFalsePro & Farm783,293$78,329$30,167$No---------------------------
Tristen MaillouxRock (DYN)D212006-03-08CANYes218 Lbs6 ft3NoNoDraftNoNo32025-10-05FalseFalsePro & Farm800,000$80,000$30,811$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Vladimir AleksandrovRock (DYN)D222005-02-08RUSYes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$26,959$No---------------------------
Yakov ShukayevRock (DYN)C252002-08-25RUSNo173 Lbs5 ft5NoNoN/ANoNo1FalseFalsePro & Farm700,000$70,000$26,959$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.44205 Lbs6 ft21.961,052,054$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sacha TavernerLeo PanasRadan Vojta35023
2Boof EcclestonAnton KuraliIgnat Maksimenko35023
3Gore TenneyEetu-Pekka KlemettinenCurtis Boogard20122
4Bert SchedinThor SouchotteDennis Wilks10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beauregard PantallCarl Svensson35131
2Tristen MaillouxNichlas Bjorklund35131
3Jean-Francois SoehnerKonrad Turkiewicz30131
4Beauregard PantallCarl Svensson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sacha TavernerLeo PanasRadan Vojta50113
2Boof EcclestonAnton KuraliIgnat Maksimenko50113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beauregard PantallCarl Svensson50122
2Tristen MaillouxNichlas Bjorklund50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Leo PanasSacha Taverner50122
2Anton KuraliBoof Eccleston50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beauregard PantallCarl Svensson50122
2Tristen MaillouxNichlas Bjorklund50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Leo Panas50122Beauregard PantallCarl Svensson50122
2Anton Kurali50122Tristen MaillouxNichlas Bjorklund50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Leo PanasSacha Taverner50122
2Anton KuraliBoof Eccleston50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Beauregard PantallCarl Svensson50122
2Tristen MaillouxNichlas Bjorklund50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sacha TavernerLeo PanasRadan VojtaBeauregard PantallCarl Svensson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sacha TavernerLeo PanasRadan VojtaBeauregard PantallCarl Svensson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ignat Maksimenko, Boof Eccleston, Anton KuraliIgnat Maksimenko, Boof EcclestonIgnat Maksimenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nichlas Bjorklund, Jean-Francois Soehner, Beauregard PantallNichlas BjorklundNichlas Bjorklund, Jean-Francois Soehner
Tirs de pénalité
Radan Vojta, Curtis Boogard, Sacha Taverner, Leo Panas, Ignat Maksimenko
Gardien
#1 : Marc-Etienne Hansey, #2 : Channing Jerome
Lignes d’attaque personnalisées en prolongation
Radan Vojta, Curtis Boogard, Leo Panas, Eetu-Pekka Klemettinen, Ignat Maksimenko, Boof Eccleston, Anton Kurali, Dennis Wilks, Gore Tenney, Bert Schedin
Lignes de défense personnalisées en prolongation
Beauregard Pantall, Carl Svensson, Tristen Mailloux, Nichlas Bjorklund, Jean-Francois Soehner


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Auroras2010001069-3100000103211010000037-420.5006101600456251147750555951050722614433266.67%7357.14%0495108445.66%497105347.20%40877452.71%10996311138466923455
2Bulldogs211000009901010000035-21100000064220.5009142300456251146450555951050742143482150.00%4175.00%1495108445.66%497105347.20%40877452.71%10996311138466923455
3Comets320000101486210000108531100000063361.00014233700456251149350555951050943827714125.00%11281.82%0495108445.66%497105347.20%40877452.71%10996311138466923455
4Crusaders30300000712-51010000023-12020000059-400.00071118004562511493505559510501042647635240.00%12558.33%0495108445.66%497105347.20%40877452.71%10996311138466923455
5Devils1010000025-31010000025-30000000000000.000235004562511422505559510502511824300.00%4175.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
6Guppies2010000136-31010000024-21000000112-110.2503470045625114665055595105065214344500.00%4250.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
7Hornets1010000023-11010000023-10000000000000.0002460045625114315055595105028111622100.00%3233.33%0495108445.66%497105347.20%40877452.71%10996311138466923455
8Hydra311000101192110000004222010001077040.66711172800456251147350555951050942653554125.00%9188.89%0495108445.66%497105347.20%40877452.71%10996311138466923455
9Jacks2110000056-1110000005321010000003-320.500591400456251145450555951050773551457228.57%8275.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
10Jazz1010000023-1000000000001010000023-100.000235004562511440505559510501247264125.00%10100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
11Kings20101000660100010003211010000034-120.500612180045625114685055595105070164681100.00%8275.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
12Northmen2010001067-1000000000002010001067-120.50067131045625114605055595105074211545400.00%5180.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
13Outlaws10001000211100010002110000000000021.0002460045625114950555951050241322292150.00%10100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
14Phantoms5220010016151210001008713120000088050.50016264200456251141615055595105015456581426116.67%14471.43%0495108445.66%497105347.20%40877452.71%10996311138466923455
15Rampage42200000141402020000048-422000000106440.500142438004562511412750555951050115447990300.00%12466.67%0495108445.66%497105347.20%40877452.71%10996311138466923455
16Schooners2010000158-31010000024-21000000134-110.250561100456251146050555951050711525492150.00%5260.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
17Spartans43100000171342200000010642110000077060.7501728450045625114140505559510501433746925360.00%13284.62%1495108445.66%497105347.20%40877452.71%10996311138466923455
18Stingers320001001293110000004222100010087150.833122032004562511494505559510509931297712541.67%20100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
19Vipers2110000067-11010000046-21100000021120.50061016004562511458505559510505818356011100.00%000%0495108445.66%497105347.20%40877452.71%10996311138466923455
20Wild Wings41300000912-3211000004402020000058-320.2509152400456251141095055595105013434501076116.67%100100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
21Wolfpack1000000123-1000000000001000000123-110.500235004562511434505559510503914192811100.00%20100.00%1495108445.66%497105347.20%40877452.71%10996311138466923455
22Wolverines11000000321110000003210000000000021.00035800456251142650555951050311472911100.00%10100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
23Yeti11000000523000000000001100000052321.00059140045625114335055595105035820182150.00%50100.00%0495108445.66%497105347.20%40877452.71%10996311138466923455
Total52182302243164169-524910021207574128913001238995-6530.510164267431104562511415925055595105016925407601288842630.95%1413475.89%3495108445.66%497105347.20%40877452.71%10996311138466923455
_Since Last GM Reset52182302243164169-524910021207574128913001238995-6530.510164267431104562511415925055595105016925407601288842630.95%1413475.89%3495108445.66%497105347.20%40877452.71%10996311138466923455
_Vs Conference3514150023112011641576001104946320790012171701370.52912019131110456251141074505559510501156349472839531630.19%972277.32%2495108445.66%497105347.20%40877452.71%10996311138466923455
_Vs Division455001101013-32220010053223300010510-5131.62510172700456251141205055595105013553551006466.67%10370.00%1495108445.66%497105347.20%40877452.71%10996311138466923455

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5253SOL116426743115921692540760128810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5218232243164169
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2491021207574
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2891301238995
Derniers 10 matchs
WLOTWOTL SOWSOL
540001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
842630.95%1413475.89%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
5055595105045625114
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
495108445.66%497105347.20%40877452.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10996311138466923455


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 - 2025-11-027Rampage4Rock2LSommaire du match
3 - 2025-11-0423Rock3Schooners4LXXSommaire du match
5 - 2025-11-0632Rock1Guppies2LXXSommaire du match
6 - 2025-11-0738Rock6Comets3WSommaire du match
8 - 2025-11-0956Schooners4Rock2LSommaire du match
10 - 2025-11-1168Rock4Hydra5LSommaire du match
12 - 2025-11-1382Rock1Spartans3LSommaire du match
13 - 2025-11-1492Devils5Rock2LSommaire du match
15 - 2025-11-16103Phantoms2Rock4WSommaire du match
17 - 2025-11-18120Rock5Yeti2WSommaire du match
19 - 2025-11-20129Auroras2Rock3WXXSommaire du match
20 - 2025-11-21140Rock5Phantoms2WSommaire du match
22 - 2025-11-23153Comets2Rock4WSommaire du match
23 - 2025-11-24161Rock2Phantoms4LSommaire du match
25 - 2025-11-26173Rock2Vipers1WSommaire du match
27 - 2025-11-28188Rock5Rampage3WSommaire du match
29 - 2025-11-30198Jacks3Rock5WSommaire du match
31 - 2025-12-02213Rock3Wild Wings4LSommaire du match
33 - 2025-12-04224Vipers6Rock4LSommaire du match
34 - 2025-12-05231Rock5Rampage3WSommaire du match
36 - 2025-12-07247Spartans3Rock5WSommaire du match
38 - 2025-12-09260Guppies4Rock2LSommaire du match
40 - 2025-12-11268Rock3Auroras7LSommaire du match
41 - 2025-12-12280Rock6Spartans4WSommaire du match
43 - 2025-12-14294Hydra2Rock4WSommaire du match
44 - 2025-12-15301Wild Wings3Rock1LSommaire du match
46 - 2025-12-17314Outlaws1Rock2WXSommaire du match
48 - 2025-12-19323Rock4Crusaders7LSommaire du match
50 - 2025-12-21342Rock5Stingers6LXSommaire du match
52 - 2025-12-23356Wolverines2Rock3WSommaire du match
54 - 2025-12-25366Spartans3Rock5WSommaire du match
55 - 2025-12-26378Bulldogs5Rock3LSommaire du match
57 - 2025-12-28384Rock1Crusaders2LSommaire du match
58 - 2025-12-29398Rock3Stingers1WSommaire du match
60 - 2025-12-31408Rock4Northmen3WXXSommaire du match
62 - 2026-01-02422Rock3Kings4LSommaire du match
64 - 2026-01-04437Rampage4Rock2LSommaire du match
66 - 2026-01-06451Phantoms5Rock4LXSommaire du match
68 - 2026-01-08462Rock0Jacks3LSommaire du match
69 - 2026-01-09474Rock1Phantoms2LSommaire du match
71 - 2026-01-11485Rock2Northmen4LSommaire du match
72 - 2026-01-12494Comets3Rock4WXXSommaire du match
74 - 2026-01-14505Kings2Rock3WXSommaire du match
76 - 2026-01-16514Rock6Bulldogs4WSommaire du match
78 - 2026-01-18532Crusaders3Rock2LSommaire du match
80 - 2026-01-20548Hornets3Rock2LSommaire du match
82 - 2026-01-22558Rock2Jazz3LSommaire du match
83 - 2026-01-23566Rock3Hydra2WXXSommaire du match
85 - 2026-01-25582Rock2Wild Wings4LSommaire du match
86 - 2026-01-26589Wild Wings1Rock3WSommaire du match
88 - 2026-01-28601Stingers2Rock4WSommaire du match
90 - 2026-01-30619Rock2Wolfpack3LXXSommaire du match
92 - 2026-02-01624Rock-Hornets-
94 - 2026-02-03642Northmen-Rock-
96 - 2026-02-05653Yeti-Rock-
97 - 2026-02-06663Crusaders-Rock-
99 - 2026-02-08677Rock-Wolverines-
100 - 2026-02-09680Rock-Bulldogs-
102 - 2026-02-11694Rock-Outlaws-
104 - 2026-02-13711Rampage-Rock-
106 - 2026-02-15721Bulldogs-Rock-
108 - 2026-02-17734Jazz-Rock-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
111 - 2026-02-20746Rock-Comets-
113 - 2026-02-22760Rock-Devils-
117 - 2026-02-26789Rock-Hydra-
118 - 2026-02-27799Schooners-Rock-
120 - 2026-03-01812Hydra-Rock-
121 - 2026-03-02820Stingers-Rock-
123 - 2026-03-04828Wolfpack-Rock-
125 - 2026-03-06843Rock-Rampage-
127 - 2026-03-08853Rock-Schooners-
128 - 2026-03-09863Northmen-Rock-
131 - 2026-03-12873Hydra-Rock-
132 - 2026-03-13883Rock-Hydra-
134 - 2026-03-15897Phantoms-Rock-
137 - 2026-03-18908Rock-Phantoms-
139 - 2026-03-20923Phantoms-Rock-
141 - 2026-03-22933Rampage-Rock-
142 - 2026-03-23941Rock-Rampage-
144 - 2026-03-25949Hydra-Rock-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance45,95522,934
Assistance PCT95.74%95.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 2870 - 95.68% 85,419$2,050,056$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,595,750$ 2,630,135$ 2,630,135$ 200,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
2,630,135$ 1,595,750$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,366,704$ 57 19,123$ 1,090,011$




Rock 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
1Leo Panas338107129236-253233666086112.43%165667419.75183351545273212448.56%10.7128
2Dunmore Heckman2395488142-4319039824748811.07%88400916.78141428360111510243.73%00.7103
3Geordie Mcgee298464490-402525034242810.75%91448815.063710700065152.74%00.4012
4Bruno-Carl Young147374380-2411718725336010.28%78276718.83671319000148338.64%00.58112
5Timothee Braun29876976-1002545225062742.55%347690623.18411151502241233.33%00.2222

Rock 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
1Magnus Pimm1554677230.9092.77880384407446125511050.61747
2Marc-Etienne Hansey76293690.9053.1143562022623751384410.65735
3Nigel Hagen852738110.9033.0146238223223891181420.50012
4Brodie Helyar3891970.9103.0521431701091211740010.5717
5Ethan Fernhout103330.8763.2453700292331250100

Rock 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
1802633041016192222-304012160251499119-204014170250293103-1078192328520323579735220060477779345223674493420831432920.28%2295974.24%1762149351.04%749150449.80%508101150.25%171696516297561510742
280164805326143230-87407250330266111-45409230202477119-4255143232375222550618149837349061150243784387016301333425.56%2064379.13%3565118747.60%791163548.38%45295147.53%143565317917871627832
3801841031116203270-6740111701911118141-23407240220585129-4461203336539305170785223369777374637269486983021611433222.38%2365875.42%1736153747.89%792167047.43%518112046.25%162288517677401462720
480184901633183271-884010230112396137-41408260051087134-47531832984811351636561999617673685422616901106616361334130.83%2395875.73%6683144347.33%804163449.20%512105648.48%150877318207581517763
552182302243164169-524910021207574128913001238995-653164267431104562511415925055595105016925407601288842630.95%1413475.89%3495108445.66%497105347.20%40877452.71%10996311138466923455
Total Saison régulière372961940153211248851162-27718449910919610454582-128188471030613514431580-149300885146123461072073243283895222796327233452241167538974460879863616225.47%105125276.02%143241674448.06%3633749648.47%2398491248.82%738239088146350970413515
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Rock 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

Rock 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