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Connexion

Aviators
GP: 56 | W: 29 | L: 14 | OTL: 13 | P: 71
GF: 193 | GA: 176 | PP%: 41.30% | PK%: 64.54%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #841 vs Lions

Centre de jeu
Islanders
30-17-9, 69pts
6
5 Aviators
29-14-13, 71pts
Team Stats
W2SéquenceL1
17-7-4Fiche domicile12-8-8
13-10-5Fiche visiteur17-6-5
6-3-1Derniers 10 matchs5-3-2
2.93Buts par match 3.45
2.61Buts contre par match 3.14
31.53%Pourcentage en avantage numérique41.30%
73.60%Pourcentage en désavantage numérique64.54%
Howlers
32-18-5, 69pts
8
4 Aviators
29-14-13, 71pts
Team Stats
W1SéquenceL1
18-10-1Fiche domicile12-8-8
14-8-4Fiche visiteur17-6-5
7-3-0Derniers 10 matchs5-3-2
2.96Buts par match 3.45
2.75Buts contre par match 3.14
33.57%Pourcentage en avantage numérique41.30%
68.18%Pourcentage en désavantage numérique64.54%
Lions
21-19-14, 56pts
2026-09-14
Aviators
29-14-13, 71pts
Statistiques d’équipe
W2SéquenceL1
15-8-7Fiche domicile12-8-8
6-11-7Fiche visiteur17-6-5
4-2-410 derniers matchs5-3-2
2.39Buts par match 3.45
2.56Buts contre par match 3.45
31.19%Pourcentage en avantage numérique41.30%
68.38%Pourcentage en désavantage numérique64.54%
Raiders
28-21-6, 62pts
2026-09-15
Aviators
29-14-13, 71pts
Statistiques d’équipe
W1SéquenceL1
19-10-2Fiche domicile12-8-8
9-11-4Fiche visiteur17-6-5
6-4-010 derniers matchs5-3-2
3.00Buts par match 3.45
3.11Buts contre par match 3.45
31.82%Pourcentage en avantage numérique41.30%
67.89%Pourcentage en désavantage numérique64.54%
Aviators
29-14-13, 71pts
2026-09-17
Mammoth
28-22-4, 60pts
Statistiques d’équipe
L1SéquenceL1
12-8-8Fiche domicile13-8-2
17-6-5Fiche visiteur15-14-2
5-3-210 derniers matchs4-5-1
3.45Buts par match 2.76
3.14Buts contre par match 2.76
41.30%Pourcentage en avantage numérique29.01%
64.54%Pourcentage en désavantage numérique71.05%
Meneurs d'équipe
Buts
Carlin Shuler
30
Passes
Gunnar Vuoriranta
54
Points
Gunnar Vuoriranta
67
Plus/Moins
Florentin Drose
15
Victoires
Ernst Hausler
24
Pourcentage d’arrêts
Soren Bille
0.903

Statistiques d’équipe
Buts pour
193
3.45 GFG
Tirs pour
1724
30.79 Avg
Pourcentage en avantage numérique
41.3%
57 GF
Début de zone offensive
36.7%
Buts contre
176
3.14 GAA
Tirs contre
1617
28.88 Avg
Pourcentage en désavantage numérique
64.5%%
50 GA
Début de la zone défensive
35.3%
Informations de l'équipe

Directeur général
EntraîneurGerald Reiber
DivisionWest
ConférenceCanadian
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomThe Hanger
Capacité18,000
Assistance0
Billets de saison7,200


Informations de la formation

Équipe Pro21
Équipe Mineure4
Limite Contrat25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées91,504$
Compte bancaire actuel0$
Compte bancaire projeté-91,504$


Historique d'équipe

Saison actuelle29-14-13 (71PTS)
Historique278-202-62 (0.513%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)4 - 6 (0.400%)
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
1Karl-Erik Setterberg (R)0X98.0087707661668375828069824778567782407201910$
2Horton Kinninmont (R)0X100.007054718069837354675678846048586840710201100,000$
3Carlin Shuler0X99.0076525265648485687068657856695880407102010$
4Morten Olsen0X99.0061667474626966428173717969755365406801910$
5Detlef Niehoff (R)0X100.0068526161727965476874706270475387406701910$
6Florentin Drose (R)0X100.0080622775727072465667677470554965406601910$
7Deven Trudel (R)0X100.0045747464567370785267526970565473406501610$
8Michael Nielsen (R)0X100.0061655763706473796158703966554563406301910$
9Jan Rozkydal (R)0X100.0074676376546874687454654365745377406301810$
10Nikolas Filipovic (R)0X100.0058636871756556725559803451505081406301610$
11Per Johansen (R)0X100.0070574367636571417063517671546973466201910$
12Gunnar Vuoriranta0X99.0063686784707279726175697974616470407301931$
13Jan Petrov (R)0X100.0073625470787375735257557857494781407001931$
14Lars Agard (R)0X100.0079707760637874587266557359555477406901931$
15Dayton Hendon (R)0X100.0082707660706884546044327475575665406701910$
16Vladislav Yestafiyev (R)0X100.0056645371687766445352567857636673406501910$
17Radzim Kipel (R)0X100.0054655169596657575371755465555472406301910$
18Patrik Popovic0X100.0073646457786358497237517055726687466201910$
Rayé
1Kai Boutet (R)0X67.306253607665886879557569746470627040720201100,000$
MOYENNE D’ÉQUIPE98.02686361696773716164626467655957744167
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
1Ernst Hausler (R)095.006775646063666071717157736264406702010$
2Soren Bille (R)0100.005378606766616771626674665440406501910$
Rayé
MOYENNE D’ÉQUIPE97.5060776264656464716769667058524066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerald Reiber57498683934161GER402150,000$


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
1Gunnar VuorirantaAviatorsD5613546772407113118983826.88%91141025.19519241591101387320%05642000.9501000136
2Carlin ShulerAviatorsRW5630336393401371051915011515.71%24113420.267142118890002782351.20%1254523021.1113000732
3Karl-Erik SetterbergAviatorsRW42283260-56074541956713814.36%2890121.478111920692248678056.41%1172713001.3313000734
4Kai BoutetAviatorsC3122244671607971144278115.28%2273123.59671310461235463044.92%6992323011.2601000723
5Horton KinninmontAviatorsLW55172542120012383119347714.29%27113320.62581313891014811042.45%1062820000.7413000126
6Morten OlsenAviatorsC56102737-71407210992276110.87%41107919.27513189920001592057.45%9732529000.6902000012
7Florentin DroseAviatorsC561620361542015210394356317.02%2892416.51404544000062141.77%5532114000.7801000431
8Deven TrudelAviatorsLW561514299204752135487311.11%1485615.30415523000094134.29%351421000.6800000114
9Detlef NiehoffAviatorsLW428202811180576063153312.70%1277918.552791268000160042.86%351510000.7200000110
10Michael NielsenAviatorsRW561612283807444125316212.80%873113.074267210000143238.89%361610000.7700000111
11Lars AgardAviatorsD5331821128070773624258.33%70113221.36279586000082100%01634000.3700000010
12Jan PetrovAviatorsD55214161430081937530262.67%57119421.72235785011282000%01833000.2700000011
13Nikolas FilipovicAviatorsRW5651015340423110539774.76%761911.0601102000000061.11%18346000.4800000001
14Dayton HendonAviatorsD5631013114069934022137.50%58121921.77325591011191000%0235000.2111000000
15Jan RozkydalAviatorsC56549380543836142813.89%55249.3700000000060053.81%19785000.3400000000
16Vladislav YestafiyevAviatorsD56077-612037733113140%4879714.2501111100005000%0630000.1800000000
17Radzim KipelAviatorsD56033-714028383412140%1075213.4300000000023000%0148000.0800000000
18Per JohansenAviatorsC50022-260293546100%42845.6900003000000064.29%8427000.1400000000
19Philip BjorklundFarm Team 22 (AVA)LW21011-720291413390%526112.4400000000010071.43%727000.0801000000
20Patrik PopovicAviatorsD39011-22010132270%82335.990000000007000%008000.0900000000
21Wilson CornelssenFarm Team 22 (AVA)D4000300221110%2266.500000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1008193331524722740133713191724583100911.19%5691672916.60579615313291756112775929950.12%2985372378030.63416000302231
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
1Ernst HauslerAviators47241190.8903.162618601381256702600.667124610314
2Soren BilleAviators175340.9032.697804035361195000.33331046000
Statistiques d’équipe totales ou en moyenne642914130.8933.063398100173161789760155656314


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
Carlin ShulerAviatorsRW202008-12-27USANo193 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Dayton HendonAviatorsD192009-06-17USAYes193 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Detlef NiehoffAviatorsLW192009-01-05GERYes204 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Deven TrudelAviatorsLW162012-11-18CANYes240 Lbs6 ft4NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Ernst Hausler (sur la masse salariale)AviatorsG202008-12-27AUTYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Florentin DroseAviatorsC192009-12-02GERYes200 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Gunnar VuorirantaAviatorsD192009-01-26FINNo216 Lbs6 ft4NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Horton KinninmontAviatorsLW202008-12-27USAYes211 Lbs6 ft0NoNoN/ANoNo12024-07-05FalseFalsePro & Farm100,000$0$0$No---------------------------
Jan PetrovAviatorsD192009-11-22BLRYes192 Lbs6 ft1NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Jan RozkydalAviatorsC182010-05-20CZEYes204 Lbs6 ft5NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Kai Boutet (sur la masse salariale)AviatorsC202008-12-27CANYes178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm100,000$0$0$No---------------------------
Karl-Erik SetterbergAviatorsRW192009-07-24SWEYes204 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Lars AgardAviatorsD192009-06-20DENYes226 Lbs6 ft8NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Michael NielsenAviatorsRW192009-08-10DENYes189 Lbs6 ft5NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Morten OlsenAviatorsC192009-12-31DENNo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Nikolas FilipovicAviatorsRW162012-05-26SVKYes201 Lbs6 ft3NoNoAssign ManuallyNoNo12026-05-29FalseFalsePro & Farm0$0$No---------------------------
Patrik PopovicAviatorsD192009-11-05SVKNo195 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Per JohansenAviatorsC192009-11-28DENYes190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Radzim KipelAviatorsD192009-04-07BLRYes172 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Soren BilleAviatorsG192009-11-14DENYes188 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Vladislav YestafiyevAviatorsD192009-06-30RUSYes181 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2118.86198 Lbs6 ft21.299,524$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
200,003$3$3$0$0$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Horton KinninmontMorten OlsenKarl-Erik Setterberg35122
2Detlef NiehoffFlorentin DroseCarlin Shuler35122
3Deven TrudelJan RozkydalNikolas Filipovic20122
4Karl-Erik SetterbergPer JohansenMichael Nielsen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gunnar VuorirantaJan Petrov35122
2Lars AgardDayton Hendon35122
3Vladislav YestafiyevRadzim Kipel20122
4Patrik PopovicGunnar Vuoriranta10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Horton KinninmontMorten OlsenKarl-Erik Setterberg50122
2Detlef NiehoffFlorentin DroseCarlin Shuler50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gunnar VuorirantaJan Petrov50122
2Lars AgardDayton Hendon50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Karl-Erik SetterbergHorton Kinninmont50122
2Carlin ShulerMorten Olsen50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gunnar VuorirantaJan Petrov50122
2Lars AgardDayton Hendon50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Karl-Erik Setterberg50122Gunnar VuorirantaJan Petrov50122
2Horton Kinninmont50122Lars AgardDayton Hendon50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Karl-Erik SetterbergHorton Kinninmont50122
2Carlin ShulerMorten Olsen50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gunnar VuorirantaJan Petrov50122
2Lars AgardDayton Hendon50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Horton KinninmontMorten OlsenKarl-Erik SetterbergGunnar VuorirantaJan Petrov
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Horton KinninmontMorten OlsenKarl-Erik SetterbergGunnar VuorirantaJan Petrov
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Deven Trudel, Nikolas Filipovic, Michael NielsenDeven Trudel, Nikolas FilipovicMichael Nielsen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Vladislav Yestafiyev, Radzim Kipel, Patrik PopovicVladislav YestafiyevRadzim Kipel, Patrik Popovic
Tirs de pénalité
Karl-Erik Setterberg, Horton Kinninmont, Carlin Shuler, Morten Olsen, Detlef Niehoff
Gardien
#1 : Ernst Hausler, #2 : Soren Bille
Lignes d’attaque personnalisées en prolongation
Karl-Erik Setterberg, Horton Kinninmont, Carlin Shuler, Morten Olsen, Detlef Niehoff, Florentin Drose, Deven Trudel, Nikolas Filipovic, Michael Nielsen, Jan Rozkydal
Lignes de défense personnalisées en prolongation
Gunnar Vuoriranta, Jan Petrov, Lars Agard, Dayton Hendon, Vladislav Yestafiyev


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
1Berries10001000431100010004310000000000021.000471100012135712142251422822100.00%10100.00%0570108052.78%507103848.84%41982250.97%19102292010
2Chill2010010048-41010000014-31000010034-110.2504610002110471717112591410456233.33%5420.00%0570108052.78%507103848.84%41982250.97%382045193719
3Dragons210001004311000010012-11100000031230.750471100013049182010152154353133.33%2150.00%0570108052.78%507103848.84%41982250.97%391942204020
4Firebirds22000000927110000005141100000041341.0009162500144069202623043106277457.14%30100.00%0570108052.78%507103848.84%41982250.97%432338193818
5Fog21000100972110000004131000010056-130.75091827004320651823240731712445360.00%6183.33%0570108052.78%507103848.84%41982250.97%432243183719
6Force1010000023-11010000023-10000000000000.000235000020256136032141021200.00%5180.00%0570108052.78%507103848.84%41982250.97%199209209
7Gators1010000056-11010000056-10000000000000.000591400131026791003486223266.67%3166.67%0570108052.78%507103848.84%41982250.97%1910219188
8Grizzlies1010000025-3000000000001010000025-300.00024600011033511170391510243133.33%5180.00%0570108052.78%507103848.84%41982250.97%179239188
9Hellcats11000000541000000000001100000054121.00058130002304012121603666233266.67%3233.33%0570108052.78%507103848.84%41982250.97%2011209188
10Howlers4210000121192201000011116-522000000103750.6252135560051241124375532313539268614642.86%13746.15%3570108052.78%507103848.84%41982250.97%824586397538
11Invaders2100000111561000000123-11100000092730.75011193000065263633248581612564250.00%6183.33%0570108052.78%507103848.84%41982250.97%412242194020
12Islanders200011008801000010056-11000100032130.75081220003311631631151582416453133.33%8275.00%1570108052.78%507103848.84%41982250.97%412342193617
13Lions1010000014-3000000000001010000014-300.00012300010032141170218229300.00%10100.00%0570108052.78%507103848.84%41982250.97%2615158188
14Mammoth11000000312110000003120000000000021.00034700021028871302356306233.33%30100.00%0570108052.78%507103848.84%41982250.97%2111209189
15Mariners21000100651110000003121000010034-130.7506111700222070292120047174454250.00%10100.00%0570108052.78%507103848.84%41982250.97%422440193717
16Menace200011006601000010045-11000100021130.7506111700320161271617166228424125.00%4175.00%0570108052.78%507103848.84%41982250.97%402141194019
17Newfies220000001183110000006511100000053241.000111728002630562024120482416393266.67%8450.00%0570108052.78%507103848.84%41982250.97%381941194020
18Nighthawks210010001073110000006421000100043141.000101929002431672922124583514505120.00%7357.14%0570108052.78%507103848.84%41982250.97%462840183718
19Quake11000000321000000000001100000032121.0003580001202971480309228000%110.00%0570108052.78%507103848.84%41982250.97%1910219189
20Raiders11000000321000000000001100000032121.00035800111026998030124294250.00%2150.00%0570108052.78%507103848.84%41982250.97%1910219189
21Rapids42200000131302020000046-22200000097240.50013233600274013533505201403820898450.00%10460.00%0570108052.78%507103848.84%41982250.97%784284387737
22Reapers2000010124-21000000112-11000010012-120.500224002000352011443818053400.00%000%0570108052.78%507103848.84%41982250.97%401937204623
23Reds2110000058-31010000037-41100000021120.50051015001400692130180512612587342.86%6183.33%0570108052.78%507103848.84%41982250.97%422238203917
24Reign412001001216-4210001009902020000037-430.375122234002190123313853111746161257228.57%8450.00%0570108052.78%507103848.84%41982250.97%834483367739
25Spirit21100000440110000002111010000023-120.5004610002110471582406929851300.00%4250.00%1570108052.78%507103848.84%41982250.97%381741194021
26Steelers11000000431110000004310000000000021.000481200121033111111032106235240.00%3233.33%0570108052.78%507103848.84%41982250.97%2112188199
27Storm41100200912-32010010047-32100010055040.50091625003510131433649310830268610440.00%13469.23%0570108052.78%507103848.84%41982250.97%804382418239
28Terror22000000936110000005231100000041341.00091524001350691520340492212434375.00%6183.33%0570108052.78%507103848.84%41982250.97%422339183819
29Warhawks21100000853110000006151010000024-220.5008111900062074213518046268616350.00%4175.00%0570108052.78%507103848.84%41982250.97%452537163718
Total5625140410031931761728118015031009912814603500937716710.634193331524004085647172452262556230161756928413371385741.30%1415064.54%5570108052.78%507103848.84%41982250.97%115362311565391094538
_Since Last GM Reset5625140410031931761728118015031009912814603500937716710.634193331524004085647172452262556230161756928413371385741.30%1415064.54%5570108052.78%507103848.84%41982250.97%115362311565391094538
_Vs Conference331680260111511051775013016165-416930130054459430.652115204319002750363103032135933914985352170788803442.50%843459.52%4570108052.78%507103848.84%41982250.97%675363687319646318
_Vs Division1666003015560-5814002012838-108520010027225160.5005596151001225181513144179186750015388386391641.03%441956.82%3570108052.78%507103848.84%41982250.97%324175336155313155

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5671L119333152417241617569284133700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
56251441003193176
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28118150310099
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2814635009377
Derniers 10 matchs
WLOTWOTL SOWSOL
530200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1385741.30%1415064.54%5
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
522625562304085647
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
570108052.78%507103848.84%41982250.97%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
115362311565391094538


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 - 2026-06-0810Nighthawks4Aviators6WSommaire du match
2 - 2026-06-0922Warhawks1Aviators6WSommaire du match
4 - 2026-06-1133Aviators2Grizzlies5LSommaire du match
6 - 2026-06-1358Reds7Aviators3LSommaire du match
8 - 2026-06-1563Aviators4Nighthawks3WXSommaire du match
10 - 2026-06-1790Aviators5Fog6LXSommaire du match
12 - 2026-06-19103Aviators3Raiders2WSommaire du match
13 - 2026-06-20114Firebirds1Aviators5WSommaire du match
15 - 2026-06-22122Aviators2Spirit3LSommaire du match
17 - 2026-06-24149Dragons2Aviators1LXSommaire du match
19 - 2026-06-26164Mariners1Aviators3WSommaire du match
20 - 2026-06-27175Storm3Aviators2LXSommaire du match
22 - 2026-06-29181Aviators2Storm1WSommaire du match
24 - 2026-07-01207Aviators4Terror1WSommaire du match
26 - 2026-07-03222Aviators3Chill4LXSommaire du match
27 - 2026-07-04236Aviators3Howlers1WSommaire du match
29 - 2026-07-06252Reapers2Aviators1LXXSommaire du match
31 - 2026-07-08269Newfies5Aviators6WSommaire du match
33 - 2026-07-10282Aviators4Rapids3WSommaire du match
34 - 2026-07-11295Storm4Aviators2LSommaire du match
36 - 2026-07-13311Spirit1Aviators2WSommaire du match
38 - 2026-07-15327Aviators2Reign5LSommaire du match
40 - 2026-07-17343Aviators7Howlers2WSommaire du match
41 - 2026-07-18355Aviators5Hellcats4WSommaire du match
43 - 2026-07-20370Rapids3Aviators2LSommaire du match
44 - 2026-07-21380Aviators2Reds1WSommaire du match
46 - 2026-07-23395Aviators1Reign2LSommaire du match
48 - 2026-07-25404Aviators3Dragons1WSommaire du match
50 - 2026-07-27428Reign2Aviators3WSommaire du match
52 - 2026-07-29445Terror2Aviators5WSommaire du match
54 - 2026-07-31461Aviators2Warhawks4LSommaire du match
55 - 2026-08-01472Invaders3Aviators2LXXSommaire du match
57 - 2026-08-03485Aviators3Islanders2WXSommaire du match
58 - 2026-08-04493Aviators3Storm4LXSommaire du match
60 - 2026-08-06512Reign7Aviators6LXSommaire du match
62 - 2026-08-08529Aviators9Invaders2WSommaire du match
64 - 2026-08-10539Aviators3Mariners4LXSommaire du match
66 - 2026-08-12560Aviators4Firebirds1WSommaire du match
68 - 2026-08-14579Aviators1Lions4LSommaire du match
69 - 2026-08-15589Force3Aviators2LSommaire du match
71 - 2026-08-17609Gators6Aviators5LSommaire du match
72 - 2026-08-18615Fog1Aviators4WSommaire du match
74 - 2026-08-20630Berries3Aviators4WXSommaire du match
76 - 2026-08-22646Menace5Aviators4LXSommaire du match
78 - 2026-08-24664Howlers8Aviators7LXXSommaire du match
79 - 2026-08-25672Aviators3Quake2WSommaire du match
81 - 2026-08-27690Aviators1Reapers2LXSommaire du match
83 - 2026-08-29697Aviators5Newfies3WSommaire du match
85 - 2026-08-31720Aviators2Menace1WXSommaire du match
87 - 2026-09-02739Steelers3Aviators4WSommaire du match
89 - 2026-09-04754Chill4Aviators1LSommaire du match
90 - 2026-09-05762Aviators5Rapids4WSommaire du match
92 - 2026-09-07778Rapids3Aviators2LSommaire du match
94 - 2026-09-09797Mammoth1Aviators3WSommaire du match
96 - 2026-09-11810Islanders6Aviators5LXSommaire du match
97 - 2026-09-12824Howlers8Aviators4LSommaire du match
99 - 2026-09-14841Lions-Aviators-
100 - 2026-09-15845Raiders-Aviators-
102 - 2026-09-17859Aviators-Mammoth-
104 - 2026-09-19881Aviators-Berries-
106 - 2026-09-21893Aviators-Gators-
108 - 2026-09-23912Hellcats-Aviators-
110 - 2026-09-25925Quake-Aviators-
111 - 2026-09-26942Aviators-Steelers-
113 - 2026-09-28943Aviators-Storm-
115 - 2026-09-30967Aviators-Force-
117 - 2026-10-02983Aviators-Howlers-
118 - 2026-10-03997Howlers-Aviators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125 - 2026-10-101048Grizzlies-Aviators-
127 - 2026-10-121064Reign-Aviators-
129 - 2026-10-141080Rapids-Aviators-
131 - 2026-10-161092Howlers-Aviators-
132 - 2026-10-171103Aviators-Reign-
134 - 2026-10-191116Storm-Aviators-
135 - 2026-10-201123Aviators-Rapids-
139 - 2026-10-241148Aviators-Rapids-
141 - 2026-10-261165Aviators-Reign-
142 - 2026-10-271168Aviators-Storm-
144 - 2026-10-291188Rapids-Aviators-
148 - 2026-11-021211Reign-Aviators-
150 - 2026-11-041219Aviators-Howlers-
152 - 2026-11-061224Storm-Aviators-



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

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
13 0 - 0.00% 0$0$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineursValeur du plafond salarial spécial
0$ 100,003$ 0$ 150,000$0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 1,634$ 91,504$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
91,504$ 0$ -91,504$



Charte de profondeur

Ailier gaucheCentreAilier droit
Horton Kinninmont (R)AGE:20PO:68OV:71
Detlef Niehoff (R)AGE:19PO:87OV:67
Deven Trudel (R)AGE:16PO:73OV:65
Philip Bjorklund (R)AGE:19PO:77OV:61
Kai Boutet (R)AGE:20PO:70OV:72
Morten OlsenAGE:19PO:65OV:68
Florentin Drose (R)AGE:19PO:65OV:66
Jan Rozkydal (R)AGE:18PO:77OV:63
Per Johansen (R)AGE:19PO:73OV:62
Karl-Erik Setterberg (R)AGE:19PO:82OV:72
Carlin ShulerAGE:20PO:80OV:71
Nikolas Filipovic (R)AGE:16PO:81OV:63
Michael Nielsen (R)AGE:19PO:63OV:63
Pat Hopfe (R)AGE:17PO:82OV:60

Défense #1Défense #2Gardien
Gunnar VuorirantaAGE:19PO:70OV:73
Jan Petrov (R)AGE:19PO:81OV:70
Lars Agard (R)AGE:19PO:77OV:69
Dayton Hendon (R)AGE:19PO:65OV:67
Vladislav Yestafiyev (R)AGE:19PO:73OV:65
Radzim Kipel (R)AGE:19PO:72OV:63
Patrik PopovicAGE:19PO:87OV:62
Wilson Cornelssen (R)AGE:16PO:92OV:61
Ernst Hausler (R)AGE:20PO:64OV:67
Soren Bille (R)AGE:19PO:40OV:65
Fielding CroydanAGE:17PO:78OV:64

Espoirs

Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
EspoirNom de l’équipeAnnée de repêchageChoix totalInformationDate de la Dernière TransactionLien

Choix au repêchage

Année R1R2R3R4R5
7
8
9
10
Choix au repêchage conditionnel



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


Aviators Historique de transactions

[8/8/2026 6:21:22 PM] New Record for Team's Most Points (25) in 1 Game for Aviators!
[8/8/2026 6:21:22 PM] New Record for Team's Most Assists (16) in 1 Game for Aviators!
[8/8/2026 6:21:22 PM] New Record for Team's Most Goals (9) in 1 Game for Aviators!
[8/8/2026 6:21:22 PM] New Record for Team's Most Points (25) in 1 Game for Aviators!



Kai Boutet est dehors pour 1 mois à cause de Sprained Left Finger Injury.



Aviators 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
1Nate Gronsdahl44814621035633130826537123811.79%141827618.4733741071046061630930.08%40.8612
2Kaden Liggett50518317135466129437998132613.80%228951518.8451419210434736331143.77%50.74213
3Kai Boutet58915516932414210993795137111.31%177821213.94173148562573026544.45%10.79411
4Carlin Shuler600152145297593431393749116413.06%244958815.98224769912247131750.61%30.6225
5Maxime Glenn3791361442804216850613128310.60%144722419.06212445770001824650.18%50.7828

Aviators 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
1Vladimir Opochinin349196135180.9192.49203922078451049365111870.81554
2Ernst Hausler1265745150.8982.997002100349340618981130.61526
3Burt Bannon95403020.9062.85488116423224571403110.5002
4Patrick Richter713325130.9112.6441891011842078892300.55934
5Fredrik Becken733326110.9082.7242840219421091064530.45824

Aviators 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
180262907747188221-334012160342386113-2740141304324102108-6881883084961132737220219759076880570242078436519771943719.07%1824575.27%5633140844.96%829176646.94%454101644.69%167992116907641510754
28039330610124021228402114050001321062640181901101108106292240394634123899976251570494284926247781735620121924724.48%1796165.92%3796159449.94%694147547.05%503108746.27%169895816497361470730
28039330610124021228402114050001321062640181901101108106292240394634123899976251570494284926247781735620121924724.48%1796165.92%3796159449.94%694147547.05%503108746.27%169895816497361470730
3803523059712171882940209034311229725401514025409591410421735156833527281182376741835766602512831194421082186831.19%2015174.63%4836167849.82%775154750.10%600115352.04%167991316687571513750
482313205725224236-1241191401412110108241121804313114128-14882243786023252768915250774585287166243178861419812157233.49%2095175.60%2821166649.28%865169651.00%584111552.38%172793716667811574786
5822438010631220246-2641141804221115117-241102006410105129-24812203735933038789118230659777489655241874844617621906232.63%2237367.26%4785155650.45%816158551.48%570113950.04%163583916727971654827
6562514041003193176172811801503100991281460350093771671193331524004085647172452262556230161756928413371385741.30%1415064.54%5570108052.78%507103848.84%41982250.97%115362311565391094538
Total Saison régulière54021920204341161915221491312701189302219810797746512701011090212289725745-2061615222529405112102905825919016140460357385598333163525354436513189133939029.13%131439270.17%2652371057649.52%51801058248.95%3633741948.97%112706151111535113102885117
Séries éliminatoires
31046000002430-6523000001420-652300000101008244165108691274771048112320101228256351028.57%29872.41%312423153.68%9620646.60%8114854.73%2071092109719695
Total Séries éliminatoires1046000002430-6523000001420-652300000101008244165108691274771048112320101228256351028.57%29872.41%312423153.68%9620646.60%8114854.73%2071092109719695

Aviators 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
1Kaden Liggett10459-3011241921.05%720520.51224311220141.75%10.8800
2Pasi Korvo103580181413368.33%1223823.8912350111100%00.6700
3Cody Livermore10257-3222223345.88%623923.90033201111060.09%00.5900
4Krister Sandell10167-47196195.26%218318.33145600000050.00%00.7600
5Carlin Shuler10437-42030201625.00%317517.57224300000145.45%00.8000

Aviators 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
1Vladimir Opochinin93420.9062.9555020272881740100
2Burt Bannon21000.9351.916300231180000