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Connexion

Aviators
GP: 56 | W: 24 | L: 27 | OTL: 5 | P: 53
GF: 153 | GA: 175 | PP%: 32.12% | PK%: 66.88%
DG: | Morale : 40 | Moyenne d’équipe : 67
Prochains matchs #841 vs Lions

Centre de jeu
Islanders
33-20-3, 69pts
2
6 Aviators
24-27-5, 53pts
Team Stats
W1SéquenceW2
16-10-2Fiche domicile14-11-3
17-10-1Fiche visiteur10-16-2
7-3-0Derniers 10 matchs3-7-0
2.89Buts par match 2.73
2.70Buts contre par match 3.13
27.64%Pourcentage en avantage numérique32.12%
61.60%Pourcentage en désavantage numérique66.88%
Howlers
31-14-10, 72pts
1
2 Aviators
24-27-5, 53pts
Team Stats
OTL1SéquenceW2
20-4-5Fiche domicile14-11-3
11-10-5Fiche visiteur10-16-2
4-3-3Derniers 10 matchs3-7-0
3.05Buts par match 2.73
2.67Buts contre par match 3.13
35.83%Pourcentage en avantage numérique32.12%
81.25%Pourcentage en désavantage numérique66.88%
Lions
23-18-13, 59pts
2025-11-04
Aviators
24-27-5, 53pts
Statistiques d’équipe
L1SéquenceW2
13-7-10Fiche domicile14-11-3
10-11-3Fiche visiteur10-16-2
5-3-210 derniers matchs3-7-0
2.46Buts par match 2.73
2.61Buts contre par match 2.73
36.36%Pourcentage en avantage numérique32.12%
67.15%Pourcentage en désavantage numérique66.88%
Raiders
27-23-5, 59pts
2025-11-05
Aviators
24-27-5, 53pts
Statistiques d’équipe
W2SéquenceW2
17-10-4Fiche domicile14-11-3
10-13-1Fiche visiteur10-16-2
6-3-110 derniers matchs3-7-0
2.71Buts par match 2.73
2.89Buts contre par match 2.73
28.23%Pourcentage en avantage numérique32.12%
72.13%Pourcentage en désavantage numérique66.88%
Aviators
24-27-5, 53pts
2025-11-07
Mammoth
23-28-3, 49pts
Statistiques d’équipe
W2SéquenceW3
14-11-3Fiche domicile9-11-3
10-16-2Fiche visiteur14-17-0
3-7-010 derniers matchs4-5-1
2.73Buts par match 2.96
3.13Buts contre par match 2.96
32.12%Pourcentage en avantage numérique21.64%
66.88%Pourcentage en désavantage numérique64.14%
Meneurs d'équipe
Buts
Kai Boutet
25
Passes
Karl-Erik Setterberg
31
Points
Kai Boutet
53
Plus/Moins
Vladislav Yestafiyev
7
Victoires
Ernst Hausler
21
Pourcentage d’arrêts
Ernst Hausler
0.898

Statistiques d’équipe
Buts pour
153
2.73 GFG
Tirs pour
1591
28.41 Avg
Pourcentage en avantage numérique
32.1%
44 GF
Début de zone offensive
36.6%
Buts contre
175
3.13 GAA
Tirs contre
1673
29.88 Avg
Pourcentage en désavantage numérique
66.9%%
52 GA
Début de la zone défensive
37.0%
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 contact 25 / 50
Espoirs0


Finance

Revenu annuel à ce jour0$
Dépenses annuelles à ce jour0$
Revenus de la saison estimés0$
Dépenses de la saison estimées128,128$
Compte bancaire actuel0$
Compte bancaire projeté-128,128$


Historique d'équipe

Saison actuelle24-27-5 (53PTS)
Historique236-177-52 (0.508%)
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
1Urban Kielevainen (R)0X97.0044335770828286638855698572326773407102010$
2Kai Boutet (R)0X100.006153607562856777567367726470627540700191100,000$
3Carlin Shuler0X100.0075525265638183697066647656695883407001910$
4Karl-Erik Setterberg (R)0X97.0084707560637973808067784578567787407001810$
5Krister Sandell (R)0X100.0042496564757363557482806556783775406902010$
6Horton Kinninmont (R)0X100.006954717967817252675476816048587440690191100,000$
7Morten Olsen0X100.0061667374616765408071707969755370406701710$
8Detlef Niehoff (R)0X100.0068526061727763486873706269475391406601810$
9Jan Rozkydal (R)0X100.0075676277566772687354664565745382406401710$
10Michael Nielsen (R)0X100.0061655763706473796158703966554563496301810$
11Per Johansen (R)0X100.0071574368656570417164527871546977436301810$
12Timo Wolff0X99.0060635475608579837678685570565379407201910$
13Gunnar Vuoriranta0X100.0062686784686877706173677574616475407101831$
14Jan Petrov (R)0X100.0072625467777174715256527757494787406901831$
15Lars Agard (R)0X100.0078707659617572577264557159555483406801831$
16Dayton Hendon (R)0X100.0081707561726782546043337475575669406701810$
17Vladislav Yestafiyev (R)0X100.0057645372697564455353577857636677406501810$
18Radzim Kipel (R)0X100.0055655070616555585372765665555478406401810$
Rayé
1Florentin Drose (R)0X94.1279622875716871475766667470554968406501810$
MOYENNE D’ÉQUIPE99.32666060696773726167646568665857774168
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)097.006574635863656071717056736270406601910$
2Soren Bille (R)0100.005378606566616770616672665445406501810$
Rayé
MOYENNE D’ÉQUIPE98.5059766262656364716668647058584066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerald Reiber56478383934163GER392150,000$


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
1Kai BoutetAviatorsC56252853-131401251212165214511.57%29116720.8551217219912391082247.83%10854026000.91230005102
2Karl-Erik SetterbergAviatorsRW56213152-61209764248781338.47%28124222.18712192210000061073150.00%644423000.8413000532
3Horton KinninmontAviatorsLW56172441020010572113346315.04%37104018.58681417101000002062.50%483821000.7900000304
4Krister SandellAviatorsLW56142539-131606375127416411.02%23106519.02761315980000124147.46%592123000.7312000313
5Carlin ShulerAviatorsRW56162036322072751414010011.35%2592516.520000621351002250.00%301718010.7812000422
6Timo WolffAviatorsD5672936-22360806915951574.40%61143025.5451015181030002105200%02934000.5000000212
7Morten OlsenAviatorsC55151934-1805912180195118.75%16100118.2149131097000021157.02%9192017000.6800000000
8Detlef NiehoffAviatorsLW5661723080695757154710.53%681514.5600014000002150.00%261011000.5600000112
9Gunnar VuorirantaAviatorsD5681220-1314034848434439.52%66119121.27671311102011011210100.00%11839000.3400000000
10Jan PetrovAviatorsD5031619-130063855520205.45%57107221.45178985000188000%01018000.3500000001
11Urban KielevainenAviatorsRW559918-174009811187244610.34%15126623.022355960001922057.82%211927000.2813000002
12Florentin DroseAviatorsC54810180420106798321649.64%1380014.83000130001281142.55%3291515000.4500000020
13Lars AgardAviatorsD56167-46070853912212.56%67122121.811347980001108000%01043000.1100000000
14Jan RozkydalAviatorsC56167-2402711368192.78%22805.0001101000040048.34%15172000.5000000001
15Dayton HendonAviatorsD56066420374918980%2776913.74011117000011000%0118000.1611000000
16Vladislav YestafiyevAviatorsD5603371002654266170%3073213.0800002000024000%0222000.0800000000
17Per JohansenAviatorsC51011014019172010%02244.4000004000010036.00%2504000.0900000000
18Michael NielsenAviatorsRW9000-1401310480%1657.27000000000000100.00%11000000000000
19Philip BjorklundFarm Team 22 (AVA)LW1000000020000%055.650000000000000%10000000000000
20Radzim KipelAviatorsD56000-3405410020%63245.790000100008000%04400000000000
21Patrik PopovicFarm Team 22 (AVA)D5000020010100%1204.010000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne1008151262413-8230801156123915914699099.49%5101666116.53447912313810253472691622951.08%2950296365010.50714000232021
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 HauslerAviators50212440.8983.022882401451428800220.45511497241
2Soren BilleAviators113310.8893.205062027243140001.0002749101
Statistiques d’équipe totales ou en moyenne61242750.8973.05338960172167194022135656342


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 ShulerAviatorsRW192008-12-27USANo193 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Dayton HendonAviatorsD182009-06-17USAYes193 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Detlef NiehoffAviatorsLW182009-01-05GERYes204 Lbs6 ft8NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Ernst HauslerAviatorsG192008-12-27AUTYes190 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Florentin Drose (sur la masse salariale)AviatorsC182009-12-02GERYes200 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Gunnar VuorirantaAviatorsD182009-01-26FINNo216 Lbs6 ft4NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Horton KinninmontAviatorsLW192008-12-27USAYes211 Lbs6 ft0NoNoN/ANoNo12024-07-05FalseFalsePro & Farm100,000$0$0$No---------------------------
Jan PetrovAviatorsD182009-11-22BLRYes192 Lbs6 ft1NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Jan RozkydalAviatorsC172010-05-20CZEYes204 Lbs6 ft5NoNoAssign ManuallyNoNo12025-02-24FalseFalsePro & Farm0$0$No---------------------------
Kai BoutetAviatorsC192008-12-27CANYes178 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm100,000$0$0$No---------------------------
Karl-Erik SetterbergAviatorsRW182009-07-24SWEYes204 Lbs6 ft5NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Krister SandellAviatorsLW202007-05-13SWEYes202 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Lars AgardAviatorsD182009-06-20DENYes226 Lbs6 ft8NoNoFree AgentNoNo32025-02-20FalseFalsePro & Farm1$0$0$No1$1$-------1$1$-------NoNo-------
Michael NielsenAviatorsRW182009-08-10DENYes189 Lbs6 ft5NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Morten OlsenAviatorsC172009-12-31DENNo188 Lbs5 ft11NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Per JohansenAviatorsC182009-11-28DENYes190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Radzim KipelAviatorsD182009-04-07BLRYes172 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Soren BilleAviatorsG182009-11-14DENYes188 Lbs5 ft9NoNoAssign ManuallyNoNo12025-10-18FalseFalsePro & Farm0$0$No---------------------------
Timo WolffAviatorsD192008-12-27GERNo206 Lbs5 ft10NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Urban KielevainenAviatorsRW202007-01-05FINYes195 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm0$0$No---------------------------
Vladislav YestafiyevAviatorsD182009-06-30RUSYes181 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-06FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2118.33196 Lbs6 ft11.299,524$

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
1Krister SandellKai BoutetUrban Kielevainen35122
2Horton KinninmontMorten OlsenKarl-Erik Setterberg35122
3Detlef NiehoffJan RozkydalCarlin Shuler20122
4Urban KielevainenPer JohansenMichael Nielsen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timo WolffGunnar Vuoriranta35122
2Jan PetrovLars Agard35122
3Dayton HendonVladislav Yestafiyev20122
4Radzim KipelTimo Wolff10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Krister SandellKai BoutetUrban Kielevainen50122
2Horton KinninmontMorten OlsenKarl-Erik Setterberg50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timo WolffGunnar Vuoriranta50122
2Jan PetrovLars Agard50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Urban KielevainenKarl-Erik Setterberg50122
2Kai BoutetCarlin Shuler50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timo WolffGunnar Vuoriranta50122
2Jan PetrovLars Agard50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Urban Kielevainen50122Timo WolffGunnar Vuoriranta50122
2Karl-Erik Setterberg50122Jan PetrovLars Agard50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Urban KielevainenKarl-Erik Setterberg50122
2Kai BoutetCarlin Shuler50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timo WolffGunnar Vuoriranta50122
2Jan PetrovLars Agard50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Krister SandellKai BoutetUrban KielevainenTimo WolffGunnar Vuoriranta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Krister SandellKai BoutetUrban KielevainenTimo WolffGunnar Vuoriranta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Detlef Niehoff, Jan Rozkydal, Per JohansenDetlef Niehoff, Jan RozkydalPer Johansen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Dayton Hendon, Vladislav Yestafiyev, Radzim KipelDayton HendonVladislav Yestafiyev, Radzim Kipel
Tirs de pénalité
Urban Kielevainen, Karl-Erik Setterberg, Kai Boutet, Carlin Shuler, Krister Sandell
Gardien
#1 : Ernst Hausler, #2 : Soren Bille
Lignes d’attaque personnalisées en prolongation
Urban Kielevainen, Karl-Erik Setterberg, Kai Boutet, Carlin Shuler, Krister Sandell, Horton Kinninmont, Morten Olsen, Detlef Niehoff, Jan Rozkydal, Per Johansen
Lignes de défense personnalisées en prolongation
Timo Wolff, Gunnar Vuoriranta, Jan Petrov, Lars Agard, Dayton Hendon


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
1Berries1010000035-21010000035-20000000000000.00034700102023114804474222150.00%220.00%0553106651.88%563108052.13%39177050.78%2011219189
2Chill20200000511-61010000026-41010000035-200.0005813001220501124150602218455120.00%9455.56%0553106651.88%563108052.13%39177050.78%371944203818
3Dragons2010010069-31000010045-11010000024-210.25061218000240601118310731010554250.00%5260.00%0553106651.88%563108052.13%39177050.78%391941193919
4Firebirds2010100045-11010000013-21000100032120.500481200021151526173672312344125.00%6183.33%0553106651.88%563108052.13%39177050.78%402040183920
5Fog21000100972110000005231000010045-130.750916250004506216271726017144414428.57%7357.14%0553106651.88%563108052.13%39177050.78%462538193819
6Force1010000023-11010000023-10000000000000.0002350001102931214032126242150.00%3233.33%0553106651.88%563108052.13%39177050.78%19102010209
7Gators11000000532110000005320000000000021.00058130011302696110345621100.00%3166.67%0553106651.88%563108052.13%39177050.78%2010208199
8Grizzlies1010000015-4000000000001010000015-400.0001120001002493120339419100.00%2150.00%0553106651.88%563108052.13%39177050.78%1782110209
9Hellcats11000000523000000000001100000052321.0005914000230231121003494235240.00%20100.00%0553106651.88%563108052.13%39177050.78%2091982011
10Howlers4010300013112200020005322010100088060.750132336001273115383434910751207910110.00%10280.00%1553106651.88%563108052.13%39177050.78%814082388142
11Invaders210001007521000010023-11100000052330.7507132000124067122629048136323266.67%3166.67%0553106651.88%563108052.13%39177050.78%371839194321
12Islanders21100000862110000006241010000024-220.50081321102330641722250632310487457.14%5180.00%0553106651.88%563108052.13%39177050.78%422338193919
13Lions1010000023-1000000000001010000023-100.00023500011035151280386422200.00%2150.00%0553106651.88%563108052.13%39177050.78%2212198189
14Mammoth1010000012-11010000012-10000000000000.00012300010026611903874212150.00%2150.00%0553106651.88%563108052.13%39177050.78%1892291810
15Mariners22000000936110000006241100000031241.0009162500225054132120043510405480.00%5180.00%0553106651.88%563108052.13%39177050.78%412135194320
16Menace20200000311-81010000016-51010000025-300.00036900021047132212061171634700.00%8362.50%0553106651.88%563108052.13%39177050.78%381940194120
17Newfies21100000541110000003121010000023-120.5005101500131051141324042164415240.00%2150.00%0553106651.88%563108052.13%39177050.78%381838194321
18Nighthawks21000100752110000004131000010034-130.7507121900421061202218146154427342.86%2150.00%0553106651.88%563108052.13%39177050.78%422238184021
19Quake11000000312000000000001100000031221.000358001110185490316821000%40100.00%0553106651.88%563108052.13%39177050.78%1782210209
20Raiders1010000014-3000000000001010000014-300.0001230010002613490339622100.00%3166.67%0553106651.88%563108052.13%39177050.78%189229199
21Rapids40300001613-72010000147-32020000026-410.125691500132211321414971154224677228.57%12558.33%0553106651.88%563108052.13%39177050.78%783879408741
22Reapers21001000743110000003121000100043141.00071320001141672118262532310403266.67%50100.00%1553106651.88%563108052.13%39177050.78%392041194021
23Reds2010001056-11010000013-21000001043120.5005813000312531124174542812453133.33%6266.67%0553106651.88%563108052.13%39177050.78%412040204320
24Reign412010001013-3210010007432020000039-640.50010172700153111917524731194532717342.86%16568.75%0553106651.88%563108052.13%39177050.78%763781398340
25Spirit2110000046-2110000003211010000014-320.50045900121047918200621516478225.00%8450.00%1553106651.88%563108052.13%39177050.78%391940193920
26Steelers1010000012-11010000012-10000000000000.000123000100326121402410030100.00%000%0553106651.88%563108052.13%39177050.78%199219199
27Storm412010001216-4211000007702010100059-440.500122234006321137473158113636248411218.18%12375.00%0553106651.88%563108052.13%39177050.78%844886387337
28Terror211000005501010000023-11100000032120.500571200113064928270591520494125.00%10460.00%0553106651.88%563108052.13%39177050.78%412141193717
29Warhawks2010001045-1100000103211010000013-220.50045910111347198161064146346233.33%30100.00%0553106651.88%563108052.13%39177050.78%401942204221
Total56152707421153175-22281011032118178328516042107297-25530.4731532624152028546214159140255560642167351031411561374432.12%1575266.88%3553106651.88%563108052.13%39177050.78%112157411405451130566
_Since Last GM Reset56152707421153175-22281011032118178328516042107297-25530.4731532624152028546214159140255560642167351031411561374432.12%1575266.88%3553106651.88%563108052.13%39177050.78%112157411405451130566
_Vs Conference338150531191104-131775031015344916110022103860-22320.4859115824900193234995324732136627958306180689852731.76%903264.44%2553106651.88%563108052.13%39177050.78%667342667321670335
_Vs Division1628050014153-128220300123212806020001832-14150.4694171112009131474841231581882047717410030135822.86%501570.00%1553106651.88%563108052.13%39177050.78%320164329156324162

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5653W215326241515911673510314115620
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5615277421153175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
28101132118178
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2851642107297
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1374432.12%1575266.88%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
4025556064228546214
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
553106651.88%563108052.13%39177050.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
112157411405451130566


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 - 2025-07-2910Nighthawks1Aviators4WSommaire du match
2 - 2025-07-3022Warhawks2Aviators3WXXSommaire du match
4 - 2025-08-0133Aviators1Grizzlies5LSommaire du match
6 - 2025-08-0358Reds3Aviators1LSommaire du match
8 - 2025-08-0563Aviators3Nighthawks4LXSommaire du match
10 - 2025-08-0790Aviators4Fog5LXSommaire du match
12 - 2025-08-09103Aviators1Raiders4LSommaire du match
13 - 2025-08-10114Firebirds3Aviators1LSommaire du match
15 - 2025-08-12122Aviators1Spirit4LSommaire du match
17 - 2025-08-14149Dragons5Aviators4LXSommaire du match
19 - 2025-08-16164Mariners2Aviators6WSommaire du match
20 - 2025-08-17175Storm6Aviators4LSommaire du match
22 - 2025-08-19181Aviators1Storm6LSommaire du match
24 - 2025-08-21207Aviators3Terror2WSommaire du match
26 - 2025-08-23222Aviators3Chill5LSommaire du match
27 - 2025-08-24236Aviators3Howlers4LSommaire du match
29 - 2025-08-26252Reapers1Aviators3WSommaire du match
31 - 2025-08-28269Newfies1Aviators3WSommaire du match
33 - 2025-08-30282Aviators1Rapids4LSommaire du match
34 - 2025-08-31295Storm1Aviators3WSommaire du match
36 - 2025-09-02311Spirit2Aviators3WSommaire du match
38 - 2025-09-04327Aviators1Reign5LSommaire du match
40 - 2025-09-06343Aviators5Howlers4WXSommaire du match
41 - 2025-09-07355Aviators5Hellcats2WSommaire du match
43 - 2025-09-09370Rapids5Aviators4LXXSommaire du match
44 - 2025-09-10380Aviators4Reds3WXXSommaire du match
46 - 2025-09-12395Aviators2Reign4LSommaire du match
48 - 2025-09-14404Aviators2Dragons4LSommaire du match
50 - 2025-09-16428Reign2Aviators4WSommaire du match
52 - 2025-09-18445Terror3Aviators2LSommaire du match
54 - 2025-09-20461Aviators1Warhawks3LSommaire du match
55 - 2025-09-21472Invaders3Aviators2LXSommaire du match
57 - 2025-09-23485Aviators2Islanders4LSommaire du match
58 - 2025-09-24493Aviators4Storm3WXSommaire du match
60 - 2025-09-26512Reign2Aviators3WXSommaire du match
62 - 2025-09-28529Aviators5Invaders2WSommaire du match
64 - 2025-09-30539Aviators3Mariners1WSommaire du match
66 - 2025-10-02560Aviators3Firebirds2WXSommaire du match
68 - 2025-10-04579Aviators2Lions3LSommaire du match
69 - 2025-10-05589Force3Aviators2LSommaire du match
71 - 2025-10-07609Gators3Aviators5WSommaire du match
72 - 2025-10-08615Fog2Aviators5WSommaire du match
74 - 2025-10-10630Berries5Aviators3LSommaire du match
76 - 2025-10-12646Menace6Aviators1LSommaire du match
78 - 2025-10-14664Howlers2Aviators3WXSommaire du match
79 - 2025-10-15672Aviators3Quake1WSommaire du match
81 - 2025-10-17690Aviators4Reapers3WXSommaire du match
83 - 2025-10-19697Aviators2Newfies3LSommaire du match
85 - 2025-10-21720Aviators2Menace5LSommaire du match
87 - 2025-10-23739Steelers2Aviators1LSommaire du match
89 - 2025-10-25754Chill6Aviators2LSommaire du match
90 - 2025-10-26762Aviators1Rapids2LSommaire du match
92 - 2025-10-28778Rapids2Aviators0LSommaire du match
94 - 2025-10-30797Mammoth2Aviators1LSommaire du match
96 - 2025-11-01810Islanders2Aviators6WSommaire du match
97 - 2025-11-02824Howlers1Aviators2WXSommaire du match
99 - 2025-11-04841Lions-Aviators-
100 - 2025-11-05845Raiders-Aviators-
102 - 2025-11-07859Aviators-Mammoth-
104 - 2025-11-09881Aviators-Berries-
106 - 2025-11-11893Aviators-Gators-
108 - 2025-11-13912Hellcats-Aviators-
110 - 2025-11-15925Quake-Aviators-
111 - 2025-11-16942Aviators-Steelers-
113 - 2025-11-18943Aviators-Storm-
115 - 2025-11-20967Aviators-Force-
117 - 2025-11-22983Aviators-Howlers-
118 - 2025-11-23997Howlers-Aviators-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
125 - 2025-11-301048Grizzlies-Aviators-
127 - 2025-12-021064Reign-Aviators-
129 - 2025-12-041080Rapids-Aviators-
131 - 2025-12-061092Howlers-Aviators-
132 - 2025-12-071103Aviators-Reign-
134 - 2025-12-091116Storm-Aviators-
135 - 2025-12-101123Aviators-Rapids-
139 - 2025-12-141148Aviators-Rapids-
141 - 2025-12-161165Aviators-Reign-
142 - 2025-12-171168Aviators-Storm-
144 - 2025-12-191188Rapids-Aviators-
148 - 2025-12-231211Reign-Aviators-
150 - 2025-12-251219Aviators-Howlers-
152 - 2025-12-271224Storm-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 jourCapacitéPopularité 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$ 200,003$ 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 2,288$ 128,128$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
128,128$ 0$ -128,128$



Charte de profondeur

Ailier gaucheCentreAilier droit
Krister Sandell (R)AGE:20PO:75OV:69
Horton Kinninmont (R)AGE:19PO:74OV:69
Detlef Niehoff (R)AGE:18PO:91OV:66
Philip Bjorklund (R)AGE:18PO:77OV:61
Kai Boutet (R)AGE:19PO:75OV:70
Morten OlsenAGE:17PO:70OV:67
Florentin Drose (R)AGE:18PO:68OV:65
Jan Rozkydal (R)AGE:17PO:82OV:64
Per Johansen (R)AGE:18PO:77OV:63
Urban Kielevainen (R)AGE:20PO:73OV:71
Karl-Erik Setterberg (R)AGE:18PO:87OV:70
Carlin ShulerAGE:19PO:83OV:70
Michael Nielsen (R)AGE:18PO:63OV:63
Pat Hopfe (R)AGE:16PO:82OV:60

Défense #1Défense #2Gardien
Timo WolffAGE:19PO:79OV:72
Gunnar VuorirantaAGE:18PO:75OV:71
Jan Petrov (R)AGE:18PO:87OV:69
Lars Agard (R)AGE:18PO:83OV:68
Dayton Hendon (R)AGE:18PO:69OV:67
Vladislav Yestafiyev (R)AGE:18PO:77OV:65
Radzim Kipel (R)AGE:18PO:78OV:64
Patrik PopovicAGE:18PO:87OV:62
Ernst Hausler (R)AGE:19PO:70OV:66
Soren Bille (R)AGE:18PO:45OV:65
Fielding CroydanAGE:16PO:58OV: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
6
7
8
9
10
Choix au repêchage conditionnel




La base de données des nouvelles du STHS n'a pas été trouvée ou corrompu. Veuillez en créer une de la section Gestion des nouvelles de la ligue du site web en étant connecté comme commissaire.




Aviators Historique de transactions

[10/27/2025 1:22:25 PM] Pat Hopfe was added to Aviators.
[10/27/2025 12:53:48 PM] Maurus Butler was released.
[10/27/2025 12:53:48 PM] Maurus Butler retired from Aviators



Florentin Drose est dehors pour 1 jours à cause de Sprained Left Ankle 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
1Kaden Liggett3691271192462610931172497013.09%176696218.87353368763252621743.86%30.71213
2Nate Gronsdahl302941322261311454035181211.58%99555318.39254873724041222730.77%20.8112
3Kai Boutet37392103195016862953288910.35%108528114.1691928361232416345.71%00.74410
4Cody Livermore27159133192-31604016336638.90%119556220.52154863471122010358.84%20.69414
5Carlin Shuler36892951873224788445574612.33%155594916.1715294468224591049.82%10.6312

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
2Burt Bannon95403020.9062.85488116423224571403110.5002
3Patrick Richter713325130.9112.6441891011842078892300.55934
4Fredrik Becken733326110.9082.7242840219421091064530.45824
5Ernst Hausler54212440.8993.032953401491472820220.45511

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
556152707421153175-22281011032118178328516042107297-25531532624152028546214159140255560642167351031411561374432.12%1575266.88%3553106651.88%563108052.13%39177050.78%112157411405451130566
Total Saison régulière45818517703629151612621244182291037802014776636085522982990161589599636-3751712622087334911102404734987913701388648944746290139904547394911246114831527.44%110732171.00%204435900649.24%4420903948.90%3035622848.73%960352639465432186704317
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