Landshut Cannibals

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Joey Pronovost | Morale : 50 | Moyenne d'Équipe : N/A
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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 SP
1German Rubtsov (R)X100.00804577848180798274787669726576705700
2Daniel Bernhardt (R)XX100.00803383838282818265797971777070706900
3Vladislav Kamenev (R)XX100.00844282858280798574818068767067703900
4Hudson Elynuik (R)X100.00834573747978787471757469705757705900
5Mathias From (R)XX100.00743784827877687760767568725857704100
6Nikolai Kovalenko (R)X100.00612588846878737665737465726261704600
7Andrew Mangiapane (R)XX100.00734077867682767968797867736969706400
8Adam Musil (R)X100.00774081748378777472757366686464702400
9Johnathan MacLeod (R)X100.00924768738477777150756183616666705200
10Yegor Rykov (R)X100.00854573738075757350746184576564705700
11Marcus Pettersson (R)X100.00824373807582827750776282646666705400
12Kyle Capobianco (R)X100.00723876817877758050786179636363704600
13Anthony DeAngelo (R)X100.00794770857781768350816482687169705800
14Nicolas Hague (R)X100.00824378778979827850766482636767706400
Rayé
1Dominik Kahun (R)XX100.00581592886977758275817969747373706400
2John Hayden (R)XXX100.00884273768579747972797967726566704300
3Pavel Zacha (R)XX100.00814278818380778175828073746767704900
4Nick Ritchie (R)X100.00904873778783787965807872746969704200
5Radovan Bondra (R)XX100.00875068728676767265737169666462702000
6Oliver Kylington (R)X100.00804278827878748150816780727168704400
MOYENNE D'ÉQUIPE100.0079407780807977786378727369666670500
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 SP
1Danny aus den Birken100.0085828384858485838481866675702800
2Juuse Saros (R)100.0088878680929090939487856968704400
Rayé
1Hannibal Weitzmann (R)100.0084828280838180808280805656701800
MOYENNE D'ÉQUIPE100.008684848187858585878384646670300
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Marco Sturm74808090758570GER4311,000,000$


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
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


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 Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam MusilLandshut Cannibals (WSH)C231996-01-22 02:04:27Yes203 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$
Andrew MangiapaneLandshut Cannibals (WSH)C/LW241995-01-22 05:58:20Yes183 Lbs5 ft10NoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$
Anthony DeAngeloLandshut Cannibals (WSH)D251994-01-22 07:23:18Yes181 Lbs5 ft11NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$
Daniel BernhardtLandshut Cannibals (WSH)LW/RW241995-01-22 06:28:59Yes190 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No
Danny aus den BirkenLandshut Cannibals (WSH)G351984-01-22 12:57:03No196 Lbs6 ft1NoNoNo1Pro & Farm1,350,000$1,350,000$1,350,000$1,350,000$0$0$No
Dominik KahunLandshut Cannibals (WSH)C/LW251994-01-22 13:35:27Yes165 Lbs5 ft8NoNoNo2Pro & Farm1,900,000$1,900,000$1,900,000$1,900,000$0$0$No1,900,000$
German RubtsovLandshut Cannibals (WSH)C221997-01-22 05:08:04Yes190 Lbs6 ft0NoNoNo2Pro & Farm1,250,000$1,250,000$1,250,000$1,250,000$0$0$No1,250,000$
Hannibal WeitzmannLandshut Cannibals (WSH)G251994-01-22 23:01:29Yes172 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Hudson ElynuikLandshut Cannibals (WSH)C231996-01-22 02:35:15Yes194 Lbs6 ft5NoNoNo1Pro & Farm700,000$700,000$700,000$700,000$0$0$No
John HaydenLandshut Cannibals (WSH)C/LW/RW251994-01-22 11:29:15Yes223 Lbs6 ft3NoNoNo0Pro & Farm0$0$No
Johnathan MacLeodLandshut Cannibals (WSH)D241995-01-22 06:15:21Yes201 Lbs6 ft2NoNoNo2Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$
Juuse SarosLandshut Cannibals (WSH)G251994-01-22 07:37:20Yes179 Lbs5 ft10NoNoNo2Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No1,500,000$
Kyle CapobiancoLandshut Cannibals (WSH)D231996-01-22 03:46:20Yes196 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$No
Marcus PetterssonLandshut Cannibals (WSH)D241995-01-20 07:37:36Yes168 Lbs6 ft4NoNoNo1Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No
Mathias FromLandshut Cannibals (WSH)LW/RW231996-01-22 03:56:06Yes187 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$No
Nick RitchieLandshut Cannibals (WSH)LW251994-01-22 05:42:44Yes225 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$0$0$No2,000,000$
Nicolas HagueLandshut Cannibals (WSH)D221997-01-22 10:28:45Yes214 Lbs6 ft6NoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$
Nikolai KovalenkoLandshut Cannibals (WSH)RW211998-01-22 05:48:57Yes174 Lbs5 ft10NoNoNo2Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$
Oliver KylingtonLandshut Cannibals (WSH)D231996-01-22 05:45:36Yes183 Lbs6 ft0NoNoNo2Pro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$
Pavel ZachaLandshut Cannibals (WSH)C/LW231996-01-22 11:46:45Yes214 Lbs6 ft3NoNoNo2Pro & Farm2,000,000$2,000,000$2,000,000$2,000,000$0$0$No2,000,000$
Radovan BondraLandshut Cannibals (WSH)LW/RW231996-01-22 10:25:16Yes216 Lbs6 ft5NoNoNo2Pro & Farm600,000$600,000$600,000$600,000$0$0$No600,000$
Vladislav KamenevLandshut Cannibals (WSH)C/LW241995-01-22 05:13:05Yes203 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$1,500,000$1,500,000$1,500,000$0$0$No
Yegor RykovLandshut Cannibals (WSH)D231996-01-22 06:32:54Yes216 Lbs6 ft2NoNoNo2Pro & Farm1,300,000$1,300,000$1,300,000$1,300,000$0$0$No1,300,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2324.09194 Lbs6 ft11.521,091,304$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevMathias From35005
2Andrew MangiapaneGerman RubtsovDaniel Bernhardt30014
322113
4Hudson ElynuikNikolai Kovalenko13122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yegor RykovAnthony DeAngelo25122
2Kyle CapobiancoNicolas Hague25122
3Johnathan MacLeod25122
4Anthony DeAngeloMarcus Pettersson25122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Vladislav KamenevMathias From60005
2Andrew MangiapaneDaniel Bernhardt40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Anthony DeAngeloNicolas Hague60014
2Yegor RykovKyle Capobianco40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Daniel Bernhardt60122
2Hudson Elynuik40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nicolas HagueYegor Rykov60122
2Anthony DeAngelo40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Vladislav Kamenev60131Yegor RykovAnthony DeAngelo60131
240131Nicolas Hague40131
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Daniel BernhardtVladislav Kamenev60122
2German RubtsovMathias From40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Yegor RykovAnthony DeAngelo60122
2Nicolas Hague40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel BernhardtVladislav KamenevMathias FromAnthony DeAngelo
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Yegor RykovNicolas Hague
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, German Rubtsov, , Andrew MangiapaneMathias From
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicolas Hague, Anthony DeAngelo, Kyle CapobiancoMarcus PetterssonMarcus Pettersson, Yegor Rykov
Tirs de Pénalité
Vladislav Kamenev, , Mathias From, Andrew Mangiapane, German Rubtsov
Gardien
#1 : Juuse Saros, #2 : Danny aus den Birken
Lignes d'Attaque Perso. en Prol.
, Vladislav Kamenev, German Rubtsov, Mathias From, , Daniel Bernhardt, Daniel Bernhardt, Andrew Mangiapane, , , Hudson Elynuik
Lignes de Défense Perso. en Prol.
Anthony DeAngelo, Yegor Rykov, Nicolas Hague, , Kyle Capobianco


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
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match 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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,510,000$ 2,510,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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