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Crusaders
GP: 51 | W: 24 | L: 24 | OTL: 3 | P: 51
GF: 159 | GA: 174 | PP%: 22.34% | PK%: 73.03%
DG: Ian Carlson | Morale : 50 | Moyenne d’équipe : 69
Prochains matchs #664 vs Drillers

Centre de jeu
Crusaders
24-24-3, 51pts
3
1 Drillers
28-18-5, 61pts
Team Stats
L1SéquenceW1
15-9-2Fiche domicile12-11-3
9-15-1Fiche domicile16-7-2
4-5-1Derniers 10 matchs3-6-1
3.12Buts par match 2.98
3.41Buts contre par match 2.90
22.34%Pourcentage en avantage numérique23.53%
73.03%Pourcentage en désavantage numérique80.19%
Yeti
26-19-6, 58pts
5
4 Crusaders
24-24-3, 51pts
Team Stats
W1SéquenceL1
13-9-4Fiche domicile15-9-2
13-10-2Fiche domicile9-15-1
6-3-1Derniers 10 matchs4-5-1
3.24Buts par match 3.12
3.10Buts contre par match 3.41
26.45%Pourcentage en avantage numérique22.34%
68.85%Pourcentage en désavantage numérique73.03%
Drillers
28-18-5, 61pts
2026-09-11
Crusaders
24-24-3, 51pts
Statistiques d’équipe
W1SéquenceL1
12-11-3Fiche domicile15-9-2
16-7-2Fiche visiteur9-15-1
3-6-110 derniers matchs4-5-1
2.98Buts par match 3.12
2.90Buts contre par match 3.12
23.53%Pourcentage en avantage numérique22.34%
80.19%Pourcentage en désavantage numérique73.03%
Crusaders
24-24-3, 51pts
2026-09-13
Rock
18-31-2, 38pts
Statistiques d’équipe
L1SéquenceL2
15-9-2Fiche domicile10-15-0
9-15-1Fiche visiteur8-16-2
4-5-110 derniers matchs1-8-1
3.12Buts par match 2.63
3.41Buts contre par match 2.63
22.34%Pourcentage en avantage numérique17.12%
73.03%Pourcentage en désavantage numérique79.83%
Stingers
22-24-4, 48pts
2026-09-14
Crusaders
24-24-3, 51pts
Statistiques d’équipe
W4SéquenceL1
13-10-3Fiche domicile15-9-2
9-14-1Fiche visiteur9-15-1
8-1-110 derniers matchs4-5-1
2.98Buts par match 3.12
3.18Buts contre par match 3.12
21.82%Pourcentage en avantage numérique22.34%
71.85%Pourcentage en désavantage numérique73.03%
Meneurs d'équipe
Buts
Martti-Veikko Rotsa
14
Passes
Martti-Veikko Rotsa
29
Points
Martti-Veikko Rotsa
43
Plus/Moins
Abraham Crona
12
Victoires
Jean-Daniel Desormeaux
11
Pourcentage d’arrêts
Niko-Markus Hautamaa
0.9

Statistiques d’équipe
Buts pour
159
3.12 GFG
Tirs pour
1664
32.63 Avg
Pourcentage en avantage numérique
22.3%
21 GF
Début de zone offensive
37.4%
Buts contre
174
3.41 GAA
Tirs contre
1657
32.49 Avg
Pourcentage en désavantage numérique
73.0%%
24 GA
Début de la zone défensive
36.5%
Informations de l'équipe

Directeur généralIan Carlson
EntraîneurGustavo Spence
DivisionAtlantic
ConférenceEastern Conference
CapitaineMadden Poile
Assistant #1Martti-Veikko Rotsa
Assistant #2Reuben Penttinen


Informations de l’aréna

Capacité5,000
Assistance4,603
Billets de saison1,250


Informations de la formation

Équipe Pro28
Équipe Mineure22
Limite Contrat50 / 55
Espoirs2


Historique d'équipe

Saison actuelle24-24-3 (51PTS)
Historique192-210-49 (0.426%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Dempsey Roos88X100.0046597268519663684891829663904747507402851,700,000$
2Pierre-Maxime Vetere (R)0X98.003828708797909554656641878850726250740222900,000$
3Florentin Wehrle17X100.0068638578609291664450797859653658507202311,000,000$
4Fred Lawrence4X99.0034558967709483637251887286354053507102421,186,155$
5Garrick Lord (R)19X100.004545547459927854598180683729287250710221900,000$
6Jessey Partridge (R)80X100.009447808051938958574563796449686450700231800,000$
7Martti-Veikko Rotsa (R) (A)10X100.0050418880507870769981535879507658507002441,450,000$
8Nicolae Cuza (R)0X100.008752778563728464537244717433397550700213900,000$
9Dale Vacher2X100.003533767253947285803467894843797050680231800,000$
10Matthew Mossman (R)0X100.008061687165798241736652845972606650680193800,000$
11Piers Flemming (R)27X100.003440698028828053788369625750476850670211800,000$
12Abraham Crona (R)38X100.006767607663757741615366736660576850640192800,000$
13Culley Daggett (R)68X100.0068608067979978752550637738378060507602251,800,000$
14Martin Johansen (R)25X99.008574837879897947655947866482616650760192800,000$
15Sidney Sittler30X100.0044697576569691722576517458486317507103231,300,000$
16Patryk Matechuk44X100.002942777686987078257061656048791250700341999,000$
17Hans Thackwray (R)0X100.0063468594679699672542375865584258507002211,022,000$
18Mathieu Taker (R)26X100.005870657558787852646954615254655650660202800,000$
Rayé
1Niels Jorgensen (R)72X100.006362687074797650627072636666486150690193800,000$
2Codey Melnuk1X100.005657849326847660555573893737417050680231900,000$
3Jensen Leduc (R)21X100.002561746656848560716967536659566850660201800,000$
4Sergey Yadrikhinsky (R)29X100.007249387472747839636767665267596150660201800,000$
5Olli Wilson (R)35X100.004155567847826766876268348544625350630242844,507$
6Po Gang-Seok (R)36X100.004443939424665159788547547852396150630244725,000$
7Madden Poile (R) (C)24X100.009257677525777355716780237289905050620243820,000$
8Reuben Penttinen (A)0X90.6838398069917272732550468965767733506902921,050,000$
MOYENNE D’ÉQUIPE99.49565374776085786159646270635658575069
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
1Jean-Daniel Desormeaux098.005381767063995278685264918938506902851,199,000$
2Niko-Markus Hautamaa (R)40100.00726174576866816482676464644950690202800,000$
Rayé
MOYENNE D’ÉQUIPE99.0063717564668367717560647877445069
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gustavo Spence47677042709774USA552275,000$


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
1Martti-Veikko RotsaCrusaders (MIG)C47142943112105390129549510.85%3085418.183368560001110154.24%907459001.0100011212
2Fred LawrenceCrusaders (MIG)C4192130-121515206678314711.54%2078219.082358550002450045.82%8251614000.7700012020
3Pierre-Maxime VetereCrusaders (MIG)RW38101727-8180495810427709.62%2374919.711234470111241143.48%462518100.7212000201
4Nicolae CuzaCrusaders (MIG)LW44101525-4175914390256511.11%1361614.013477482022171233.96%533611010.8100010142
5Codey MelnukCrusaders (MIG)LW4311122311175333312032819.17%1247511.060112110000301138.46%133910000.9703100010
6Olli WilsonCrusaders (MIG)LW21139221115291699233913.13%639018.60134519000051155.88%34244001.1300001101
7Sidney SittlerCrusaders (MIG)D5112021-8824020878846331.14%57111321.83022775000262000%02842000.3800224001
8Robert FriendMighty MooseLW1914721-700552296254814.58%837619.79314320000052157.14%35232011.1211000310
9Piers FlemmingCrusaders (MIG)C3091221-1240223969204313.04%1648316.13156329000041146.50%4431813010.8700000131
10Jessey PartridgeCrusaders (MIG)RW5091120-439151427460215015.00%3192818.572134410001272145.83%721617000.4301102141
11Abraham CronaCrusaders (MIG)C497121912392557364161917.07%134669.53000000001314038.69%16847000.8100212002
12Hans ThackwrayCrusaders (MIG)D51310133101045725522125.45%53108821.34011273101338100%01023100.2400011020
13Culley DaggettCrusaders (MIG)D5001212-1322071886228240%54110722.16011245000047000%01138000.2200013000
14Giles BedfordMighty MooseD3601212-2473513714719200%5377321.47011014011026000%0625000.3100142001
15Dempsey RoosCrusaders (MIG)LW145611-500242645212711.11%427119.38011215011082043.24%3756000.8100000002
16Niels JorgensenCrusaders (MIG)LW373811-15141057387026334.29%1348213.04112111000000030.77%13188000.4600200010
17Johannes WilhelmssonMighty MooseRW18279-1752817288167.14%721812.1301103000042018.75%16102000.8200010000
18Mathieu TakerCrusaders (MIG)D45099-6442056513115120%3881318.08000010000245000%0925000.2200211100
19Madden PoileCrusaders (MIG)C34527-67565145726398.77%137911.1600002000010143.11%167223000.3713001020
20Po Gang-SeokCrusaders (MIG)RW9347-655672721411.11%316518.34213316000000037.50%8101000.8500100101
21Florentin WehrleCrusaders (MIG)LW870721410171330111823.33%216020.11000115000171130.00%1084010.8700200200
22Jensen LeducCrusaders (MIG)RW35437-518104305414367.41%440511.5900022000030057.14%14107000.3500020000
23Martin JohansenCrusaders (MIG)D31077-1222050582714200%4164820.93022125000023000%0421000.2200121000
24Reuben PenttinenCrusaders (MIG)D40156-134012734112102.44%5172218.07000240000247000%0327100.1700000000
25Dale VacherCrusaders (MIG)RW2042602011194072010.00%623711.9010119000031140.00%2062000.5000000011
26Garrick LordCrusaders (MIG)LW1733602035204915206.12%425915.29000030000170025.00%20143000.4600000010
27Sergey YadrikhinskyCrusaders (MIG)RW3042648052262141919.05%1030310.100111340000271050.00%653000.4000000100
28Caelan RanfordMighty MooseD161568551222241354.17%2033020.67011226000130000%0211000.3600010000
29Kerby ShapleyMighty MooseD9235-310105161231116.67%1418520.571011700003000%0411000.5400101001
30Matthew MossmanCrusaders (MIG)RW162245752511951122.22%519612.2700000000050040.00%1023000.4100100001
31Patryk MatechukCrusaders (MIG)D15011-5202108620%1316611.0700011101109000%134000.1200000000
Statistiques d’équipe totales ou en moyenne964156268424-775142901161124617115819599.12%6251615316.762136577377734719618211247.46%2918436374340.52310171922162318
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
1Jean-Daniel DesormeauxCrusaders (MIG)23111000.8953.291297007167529622002220300
2Bernhard ErnstMighty Moose167620.8983.248890048471274100.66761416012
3Niko-Markus HautamaaCrusaders (MIG)176810.9003.379084051509277100.60051515102
Statistiques d’équipe totales ou en moyenne56242430.8973.30309540170165584742115151414


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
Abraham CronaCrusaders (MIG)C192009-08-22SWEYes235 Lbs6 ft8NoNoDraftNoNo22025-10-13FalseFalsePro & Farm800,000$80,000$31,565$No800,000$--------800,000$--------No--------
Codey MelnukCrusaders (MIG)LW232005-02-18CANNo200 Lbs6 ft2NoNoFree AgentNoNo12025-02-17FalseFalsePro & Farm900,000$90,000$35,510$No---------------------------
Culley DaggettCrusaders (MIG)D222006-04-22USAYes210 Lbs6 ft0NoNoTrade2026-08-14NoNo52026-05-03FalseFalsePro & Farm1,800,000$180,000$71,020$No1,800,000$1,800,000$1,800,000$1,800,000$-----1,800,000$1,800,000$1,800,000$1,800,000$-----NoNoNoNo-----
Dale VacherCrusaders (MIG)RW232005-10-05CANNo217 Lbs5 ft11NoNoFree AgentNoNo12025-02-17FalseFalsePro & Farm800,000$80,000$31,565$No---------------------------
Dempsey RoosCrusaders (MIG)LW282000-03-11USANo185 Lbs6 ft1NoNoTrade2026-08-14NoNo52026-05-02FalseFalsePro & Farm1,700,000$170,000$67,075$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-----
Florentin WehrleCrusaders (MIG)LW232005-12-26GERNo199 Lbs6 ft1NoNoFree AgentNoNo12025-02-17FalseFalsePro & Farm1,000,000$1,000,000$394,558$No---------------------------
Fred LawrenceCrusaders (MIG)C242004-07-06CANNo169 Lbs5 ft5NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm1,186,155$118,616$46,801$No1,186,155$--------1,186,155$--------No--------
Garrick LordCrusaders (MIG)LW222006-07-01USAYes207 Lbs6 ft4NoNoFree AgentNoNo12025-02-19FalseFalsePro & Farm900,000$900,000$355,102$No---------------------------
Hans ThackwrayCrusaders (MIG)D222006-03-19USAYes166 Lbs5 ft5NoNoFree AgentNoNo12026-01-04FalseFalsePro & Farm1,022,000$102,200$40,324$No---------------------------
Jean-Daniel DesormeauxCrusaders (MIG)G282000-12-24CANNo181 Lbs5 ft10NoNoAssign Manually2025-12-18NoNo52026-05-02FalseFalsePro & Farm1,199,000$119,900$47,307$No1,199,000$1,199,000$1,199,000$1,199,000$-----1,199,000$1,199,000$1,199,000$1,199,000$-----NoNoNoNo-----
Jensen LeducCrusaders (MIG)RW202008-12-27CANYes160 Lbs5 ft7NoNoFree AgentNoNo12025-02-19FalseFalsePro & Farm800,000$80,000$31,565$No---------------------------
Jessey PartridgeCrusaders (MIG)RW232005-04-05BLRYes210 Lbs6 ft1NoNoFree AgentNoNo12025-02-18FalseFalsePro & Farm800,000$80,000$31,565$No---------------------------
Madden PoileCrusaders (MIG)C242004-06-06CANYes190 Lbs5 ft10NoNoAssign ManuallyNoNo32025-09-28FalseFalsePro & Farm820,000$82,000$32,354$No820,000$820,000$-------820,000$820,000$-------NoNo-------
Martin JohansenCrusaders (MIG)D192009-01-03DENYes240 Lbs6 ft8NoNoAssign ManuallyNoNo22025-10-09FalseFalsePro & Farm800,000$80,000$31,565$No800,000$--------800,000$--------No--------
Martti-Veikko RotsaCrusaders (MIG)C242004-12-21FINYes171 Lbs5 ft9NoNoAssign Manually2024-03-28NoNo42025-10-26FalseFalsePro & Farm1,450,000$145,000$57,211$No1,450,000$1,450,000$1,450,000$------1,450,000$1,450,000$1,450,000$------NoNoNo------
Mathieu TakerCrusaders (MIG)D202008-12-27CANYes190 Lbs6 ft1NoNoDraftNoNo22025-10-13FalseFalsePro & Farm800,000$80,000$31,565$No800,000$--------800,000$--------No--------
Matthew MossmanCrusaders (MIG)RW192009-09-23CANYes232 Lbs6 ft6NoNoDraftNoNo32026-05-28FalseFalsePro & Farm800,000$800,000$315,646$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Nicolae CuzaCrusaders (MIG)LW212007-03-13ROUYes206 Lbs6 ft5NoNoDraftNoNo32026-05-27FalseFalsePro & Farm900,000$90,000$35,510$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Niels JorgensenCrusaders (MIG)LW192009-03-18DENYes194 Lbs6 ft5NoNoDraftNoNo32026-05-28FalseFalsePro & Farm800,000$80,000$31,565$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Niko-Markus HautamaaCrusaders (MIG)G202008-07-02FINYes188 Lbs5 ft9NoNoDraftNoNo22025-10-13FalseFalsePro & Farm800,000$80,000$31,565$No800,000$--------800,000$--------No--------
Olli WilsonCrusaders (MIG)LW242004-09-08CANYes185 Lbs5 ft9NoNoAssign ManuallyNoNo22025-09-28FalseFalsePro & Farm844,507$84,451$33,321$No844,507$--------844,507$--------No--------
Patryk MatechukCrusaders (MIG)D341994-04-20CANNo178 Lbs5 ft9NoNoFree AgentNoNo12026-08-14FalseFalsePro & Farm999,000$99,900$39,416$No---------------------------
Pierre-Maxime VetereCrusaders (MIG)RW222006-03-25CANYes244 Lbs6 ft6NoNoTrade2026-06-01NoNo22025-10-05FalseFalsePro & Farm900,000$90,000$35,510$No900,000$--------900,000$--------No--------
Piers FlemmingCrusaders (MIG)C212007-03-15USAYes195 Lbs6 ft1NoNoFree AgentNoNo12025-02-19FalseFalsePro & Farm800,000$80,000$31,565$No---------------------------
Po Gang-SeokCrusaders (MIG)RW242004-03-11KORYes228 Lbs6 ft8NoNoAssign ManuallyNoNo42025-10-26FalseFalsePro & Farm725,000$72,500$28,605$No725,000$725,000$725,000$------725,000$725,000$725,000$------NoNoNo------
Reuben Penttinen (sur la masse salariale)Crusaders (MIG)D291999-10-18FINNo180 Lbs5 ft7NoNoTrade2026-01-25NoNo22025-02-01FalseFalsePro & Farm1,050,000$0$0$Yes1,050,000$--------1,050,000$--------No--------
Sergey YadrikhinskyCrusaders (MIG)RW202008-12-27RUSYes199 Lbs6 ft2NoNoFree AgentNoNo12025-02-19FalseFalsePro & Farm800,000$80,000$31,565$No---------------------------
Sidney SittlerCrusaders (MIG)D321996-12-12CANNo183 Lbs6 ft2NoNoAssign ManuallyNoNo32025-10-26FalseFalsePro & Farm1,300,000$130,000$51,293$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.18198 Lbs6 ft12.29981,988$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dempsey RoosFred LawrencePierre-Maxime Vetere35122
2Florentin WehrleMartti-Veikko RotsaJessey Partridge35122
3Garrick LordPiers FlemmingMatthew Mossman20122
4Nicolae CuzaPierre-Maxime VetereDale Vacher10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Culley DaggettSidney Sittler35122
2Hans ThackwrayMartin Johansen35122
3Martin JohansenMathieu Taker20122
4Culley DaggettSidney Sittler10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Garrick LordFred LawrencePierre-Maxime Vetere50122
2Florentin WehrleMartti-Veikko RotsaJessey Partridge50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Culley DaggettSidney Sittler50122
2Hans ThackwrayMathieu Taker50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Fred LawrencePierre-Maxime Vetere50122
2Florentin WehrleGarrick Lord50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Culley DaggettSidney Sittler50122
2Hans ThackwrayMathieu Taker50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Florentin Wehrle50122Culley DaggettSidney Sittler50122
2Pierre-Maxime Vetere50122Hans ThackwrayMathieu Taker50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Fred LawrencePierre-Maxime Vetere50122
2Florentin WehrleGarrick Lord50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Culley DaggettSidney Sittler50122
2Hans ThackwrayMathieu Taker50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dempsey RoosFred LawrencePierre-Maxime VetereCulley DaggettSidney Sittler
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dempsey RoosFred LawrencePierre-Maxime VetereCulley DaggettSidney Sittler
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Pierre-Maxime Vetere, Nicolae Cuza, Matthew MossmanPierre-Maxime Vetere, Nicolae CuzaMatthew Mossman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Culley Daggett, Mathieu Taker, Hans ThackwraySidney SittlerMathieu Taker, Hans Thackwray
Tirs de pénalité
Dempsey Roos, Pierre-Maxime Vetere, Florentin Wehrle, Garrick Lord, Fred Lawrence
Gardien
#1 : Jean-Daniel Desormeaux, #2 : Niko-Markus Hautamaa
Lignes d’attaque personnalisées en prolongation
Dempsey Roos, Pierre-Maxime Vetere, Florentin Wehrle, Garrick Lord, Fred Lawrence, Martti-Veikko Rotsa, Nicolae Cuza, Jessey Partridge, Dale Vacher, Matthew Mossman
Lignes de défense personnalisées en prolongation
Culley Daggett, Sidney Sittler, Hans Thackwray, Martin Johansen, Mathieu Taker


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
1Auroras2020000059-41010000024-21010000035-200.000581300346155106548960954531642923345240.00%4175.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
2Bulldogs10000010321100000103210000000000021.000336003461551044489609545313312418000%20100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
3Comets614000011622-6302000011014-43120000068-230.25016264200346155101914896095453122165451346466.67%5260.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
4Devils21001000743100010002111100000053241.0007111800346155104848960954531652625504125.00%50100.00%2513108047.50%514105348.81%35675447.21%10556171138461905429
5Drillers11000000312000000000001100000031221.00036900346155103048960954531122223100.00%10100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
6Guppies1000000123-1000000000001000000123-110.500235003461551029489609545313619621300.00%3166.67%0513108047.50%514105348.81%35675447.21%10556171138461905429
7Hornets211000001011-1110000005411010000057-220.50010203000346155108048960954531612484311100.00%4250.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
8Hydra22000000523110000003121100000021141.00058130034615510554896095453146178418225.00%40100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
9Jacks1010000035-21010000035-20000000000000.00035810346155102448960954531339722700.00%110.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
10Jazz1010000045-1000000000001010000045-100.00046100034615510294896095453145161113100.00%3166.67%0513108047.50%514105348.81%35675447.21%10556171138461905429
11Kings1000010012-11000010012-10000000000010.5001230034615510274896095453137131228300.00%10100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
12Northmen30300000713-61010000035-22020000048-400.0007101700346155101054896095453182374471100.00%7185.71%0513108047.50%514105348.81%35675447.21%10556171138461905429
13Outlaws11000000532110000005320000000000021.00051015003461551038489609545313371219100.00%10100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
14Phantoms2010100045-11010000024-21000100021120.500481200346155106448960954531802532305240.00%6183.33%0513108047.50%514105348.81%35675447.21%10556171138461905429
15Rampage11000000624110000006240000000000021.00069150034615510334896095453126644172150.00%2150.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
16Rock11000000321110000003210000000000021.000358003461551042489609545313394135120.00%10100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
17Schooners613020001722-52000200086241300000916-760.50017284510346155101944896095453121763771551000.00%10370.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
18Spartans51102010181623000201012932110000067-180.80018264400346155101774896095453114859391345240.00%7271.43%0513108047.50%514105348.81%35675447.21%10556171138461905429
19Swamp Puppies2110000010100110000005321010000057-220.50010152500346155107248960954531752539388337.50%7357.14%1513108047.50%514105348.81%35675447.21%10556171138461905429
20Vipers2020000036-31010000013-21010000023-100.000369003461551076489609545316526437100.00%20100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
21Wild Wings21001000963110000004221000100054141.000915240034615510714896095453150141450400.00%2150.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
22Wolfpack20200000510-51010000024-21010000036-300.00058130034615510624896095453165217527114.29%10100.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
23Wolverines22000000743110000004311100000031241.0007121900346155104548960954531662115375120.00%5180.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
24Yeti2020000069-31010000045-11010000024-200.000610160034615510634896095453164362044100.00%5340.00%0513108047.50%514105348.81%35675447.21%10556171138461905429
Total51152407122159174-152689051218884425715020017190-19510.500159260419203461551016644896095453116575815021124942122.34%892473.03%3513108047.50%514105348.81%35675447.21%10556171138461905429
_Since Last GM Reset51152407122159174-152689051218884425715020017190-19510.500159260419203461551016644896095453116575815021124942122.34%892473.03%3513108047.50%514105348.81%35675447.21%10556171138461905429
_Vs Conference309130502198102-415530402157461115410010004156-15330.550981512491034615510101348960954531976323329684501326.00%501472.00%1513108047.50%514105348.81%35675447.21%10556171138461905429
_Vs Division1038040113237-54020401116133636000001624-8170.8503253851034615510328489609545313311131112491500.00%17758.82%0513108047.50%514105348.81%35675447.21%10556171138461905429

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5151L115926041916641657581502112420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5115247122159174
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
268951218884
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2571520017190
Derniers 10 matchs
WLOTWOTL SOWSOL
450100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
942122.34%892473.03%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
4896095453134615510
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
513108047.50%514105348.81%35675447.21%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10556171138461905429


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 - 2026-06-141Schooners4Crusaders5WXSommaire du match
2 - 2026-06-1516Crusaders1Northmen3LSommaire du match
4 - 2026-06-1727Bulldogs2Crusaders3WXXSommaire du match
6 - 2026-06-1942Wild Wings2Crusaders4WSommaire du match
8 - 2026-06-2157Crusaders2Hydra1WSommaire du match
10 - 2026-06-2374Spartans4Crusaders5WXSommaire du match
12 - 2026-06-2585Crusaders2Guppies3LXXSommaire du match
13 - 2026-06-26101Crusaders1Schooners4LSommaire du match
15 - 2026-06-28115Crusaders3Spartans5LSommaire du match
17 - 2026-06-30126Crusaders2Comets4LSommaire du match
18 - 2026-07-01133Vipers3Crusaders1LSommaire du match
20 - 2026-07-03154Crusaders5Wild Wings4WXSommaire du match
22 - 2026-07-05158Auroras4Crusaders2LSommaire du match
23 - 2026-07-06172Crusaders4Jazz5LSommaire du match
26 - 2026-07-09190Comets4Crusaders3LSommaire du match
27 - 2026-07-10197Crusaders2Comets1WSommaire du match
29 - 2026-07-12211Spartans2Crusaders3WXXSommaire du match
30 - 2026-07-13226Crusaders3Wolfpack6LSommaire du match
32 - 2026-07-15236Crusaders5Hornets7LSommaire du match
34 - 2026-07-17250Hydra1Crusaders3WSommaire du match
36 - 2026-07-19262Phantoms4Crusaders2LSommaire du match
37 - 2026-07-20274Northmen5Crusaders3LSommaire du match
39 - 2026-07-22287Rock2Crusaders3WSommaire du match
41 - 2026-07-24307Crusaders1Schooners4LSommaire du match
43 - 2026-07-26318Crusaders3Northmen5LSommaire du match
45 - 2026-07-28333Rampage2Crusaders6WSommaire du match
46 - 2026-07-29339Crusaders3Auroras5LSommaire du match
48 - 2026-07-31353Comets6Crusaders5LXXSommaire du match
50 - 2026-08-02366Swamp Puppies3Crusaders5WSommaire du match
52 - 2026-08-04385Outlaws3Crusaders5WSommaire du match
53 - 2026-08-05397Crusaders3Wolverines1WSommaire du match
55 - 2026-08-07405Crusaders2Comets3LSommaire du match
57 - 2026-08-09418Spartans3Crusaders4WXSommaire du match
58 - 2026-08-10434Crusaders2Vipers3LSommaire du match
60 - 2026-08-12444Wolfpack4Crusaders2LSommaire du match
62 - 2026-08-14458Crusaders5Devils3WSommaire du match
64 - 2026-08-16470Hornets4Crusaders5WSommaire du match
65 - 2026-08-17486Crusaders2Schooners4LSommaire du match
68 - 2026-08-20502Schooners2Crusaders3WXSommaire du match
69 - 2026-08-21517Crusaders3Spartans2WSommaire du match
71 - 2026-08-23521Wolverines3Crusaders4WSommaire du match
72 - 2026-08-24534Kings2Crusaders1LXSommaire du match
74 - 2026-08-26552Crusaders2Phantoms1WXSommaire du match
76 - 2026-08-28569Crusaders5Swamp Puppies7LSommaire du match
78 - 2026-08-30581Crusaders5Schooners4WSommaire du match
80 - 2026-09-01592Devils1Crusaders2WXSommaire du match
82 - 2026-09-03606Jacks5Crusaders3LSommaire du match
83 - 2026-09-04613Comets4Crusaders2LSommaire du match
85 - 2026-09-06636Crusaders2Yeti4LSommaire du match
87 - 2026-09-08645Crusaders3Drillers1WSommaire du match
89 - 2026-09-10655Yeti5Crusaders4LSommaire du match
90 - 2026-09-11664Drillers-Crusaders-
92 - 2026-09-13684Crusaders-Rock-
93 - 2026-09-14688Stingers-Crusaders-
95 - 2026-09-16701Crusaders-Bulldogs-
97 - 2026-09-18715Crusaders-Comets-
99 - 2026-09-20728Hydra-Crusaders-
100 - 2026-09-21743Crusaders-Spartans-
103 - 2026-09-24760Crusaders-Kings-
104 - 2026-09-25771Crusaders-Rampage-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
106 - 2026-09-27780Guppies-Crusaders-
107 - 2026-09-28789Spartans-Crusaders-
109 - 2026-09-30802Northmen-Crusaders-
111 - 2026-10-02824Crusaders-Wild Wings-
113 - 2026-10-04829Wild Wings-Crusaders-
115 - 2026-10-06847Rock-Crusaders-
117 - 2026-10-08859Schooners-Crusaders-
118 - 2026-10-09865Schooners-Crusaders-
124 - 2026-10-15906Bulldogs-Crusaders-
125 - 2026-10-16917Crusaders-Jacks-
127 - 2026-10-18927Crusaders-Outlaws-
128 - 2026-10-19941Crusaders-Swamp Puppies-
130 - 2026-10-21950Crusaders-Stingers-
132 - 2026-10-23960Crusaders-Hydra-
134 - 2026-10-25971Jazz-Crusaders-
136 - 2026-10-27986Crusaders-Comets-
139 - 2026-10-30999Spartans-Crusaders-
141 - 2026-11-011008Comets-Crusaders-
143 - 2026-11-031025Crusaders-Spartans-
147 - 2026-11-071038Crusaders-Schooners-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets3515
Assistance71,66648,024
Assistance PCT91.88%92.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
14 4603 - 92.07% 161,434$4,197,273$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,360,341$ 5,074,567$ 5,074,567$ 275,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
5,074,567$ 2,193,844$ 27 1

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,260,070$ 58 36,392$ 2,110,736$




Crusaders 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
1Oskar Borjesson2397872150-295737635162112.56%69467619.57172037523141414445.78%10.6427
2Francis Henri1996763130-2612443231855312.12%88406020.411218304520257141.85%20.6426
3Lennox Henry1844186127-582263983354159.88%75384120.881224363001199354.57%00.6605
4Jovin Coish32017109126-355973206714933.45%439705222.04112031280225330%00.3600
5Josiah Hilts1596558123-315624130054611.90%92319720.1116183445000510249.04%00.7714

Crusaders 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
1Gennady Lashkin1185153100.8993.1867954236035751725770.53813
2Artyom Vadeyev73342480.9082.8640932119521211089110.61526
3Romeo Basran1003255100.9142.5458582524828831500360.85020
4Bernhard Ernst45181750.9013.152438611281293732100.7789
5Yevgeny Shkurin43152440.9092.582583041111218514120.7147

Crusaders 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
180233905823154202-48407220460179110-31401617012227592-1771154257411362860598186054064862759227173966916741443725.69%1585366.46%1695129553.67%854165451.63%52696854.34%147469717357791640838
280174507542154217-63401420012308296-14403250631272121-49631542484025428486714161739859758255241978072216381324131.06%1824973.08%5620117152.95%855165951.54%50695752.87%140662817947891648845
380293804432225246-21401816013111211111040112203121104135-31782253705955253759013221167975276535251989658717681574126.11%1625267.90%3761146751.87%920176252.21%561109851.09%158786417757371475755
480283406633262266-4401615033301391281140121903303123138-1583262453715214910210212274582496792052258483387319371413826.95%1545067.53%1871172750.43%854167650.95%620125449.44%167499117727251406674
5802830061132262286-2440161304421133129440121702711129157-288726242168331531128812269881392191172262080799217781514932.45%1824973.08%2853174848.80%886176250.28%674128252.57%167398717857291414676
651152407122159174-152689051218884425715020017190-1951159260419203461551016644896095453116575815021124942122.34%892473.03%3513108047.50%514105348.81%35675447.21%10556171138461905429
Total Saison régulière45114021003535171412161391-175226799501819114642658-162256111501716610574733-159433121620093225201424545846169127953743449443503041407046364345991981922727.72%92727770.12%154313848850.81%4883956651.05%3243631351.37%8871478610001422284904220
Séries éliminatoires
573400000242403210000014122413000001012-2624396300412712476875921226276681299111.11%21480.95%17916348.47%8018443.48%5813044.62%136771776612557
Total Séries éliminatoires73400000242403210000014122413000001012-2624396300412712476875921226276681299111.11%21480.95%17916348.47%8018443.48%5813044.62%136771776612557

Crusaders 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
1Jessey Partridge74373216102119.05%413719.7000010110108.33%01.0200
2Piers Flemming4246101112633.33%18421.03000000001045.37%01.4300
3Fred Lawrence714520412156.67%215021.47011100000046.52%00.6700
4Olli Wilson741512742814.29%212317.58000000000025.00%00.8100
5Dale Vacher723515613238.70%412818.38000000000016.67%00.7800

Crusaders 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
1Gennady Lashkin53100.9063.272750015159801000
2Jim Gloeckner10010.9362.656800347290000
3Jean-Daniel Desormeaux20200.8933.799500656191000