Devils

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Thomas Perron-Bibeau | Morale : 50 | Moyenne d'Équipe : 64
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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
1Mark JankowskiX100.005836866789739266786568826769667983680
2Austin WatsonX100.009065596587725964566268836673687167670
3Matt CullenXX100.005437886478698463806462776193852582660
4Nate ThompsonX100.008042876179739159786258775985752582660
5Drake BathersonXX100.006238856981837468587064666362645888660
6Christian FischerX100.008144876683738465526467546665627789640
7Josh LeivoXX100.005749826479768963546266596371686089640
8Robert ThomasXX100.005337896972738368727463576660628491640
9Tyler BensonX100.005838866472939163796855595561636490630
10Martin NecasXX100.005736906378807060716259585560628788610
11Remi ElieX100.008136885981736256535857595867647390600
12Michael McLeodX100.007144826078826859726454585261638590600
13Travis DermottX100.008138866975837768307462665165637782670
14Rasmus AnderssonX100.006443866780819265306658675365637482660
15Nathan BeaulieuX100.007261736680826164307157635273677186650
16Filip HronekX100.006842836571847264307362635863627292640
17Reece WillcoxX100.007136905687928955305651584569656075630
18Libor HajekX100.006037885881886958305456624661637689620
Rayé
1Sebastian RepoX100.007138855986928958535657595865636227610
2Gabriel GagneX100.006836925587908556575452585365636225590
3Dmitry SokolovX100.005335955866918757525658535761636863590
4Ty DellandreaX100.006336905975727358695657596059628033590
5Jakob StukelX100.006138845871706756535961586268635825580
6Sheldon RempalX100.005336925863796957585956605467645225580
7Hunter ShinkarukX100.005436905667908554505253555669657825570
8Roland McKeownX100.006239835676939156305752544565637124610
9Niklas HanssonX100.005737885673928956305552544667646125600
MOYENNE D'ÉQUIPE100.00654086627881796153625962576765676763
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
1Connor Ingram100.00797169807877797877797863676787740
2Tom McCollum100.00747573847372747372747378844390730
Rayé
1Richard Bachman100.00766866677574767574767580864025720
2Ville Husso100.00687371846766686766686767717225670
MOYENNE D'ÉQUIPE100.0074727079737274737274737277565772
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6333,000,000$


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 Cap 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
Austin WatsonDevils (New)LW271992-01-13No204 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$NoLien
Christian FischerDevils (New)RW221997-04-15No214 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$NoLien
Connor IngramDevils (New)G221997-03-31No196 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Dmitry SokolovDevils (New)RW211998-04-14No221 Lbs5 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Drake BathersonDevils (New)C/RW211998-04-27No187 Lbs6 ft3NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Filip HronekDevils (New)D211997-11-02No170 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Gabriel GagneDevils (New)RW221996-11-11No186 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$NoLien
Hunter ShinkarukDevils (New)LW241994-10-13No181 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien
Jakob StukelDevils (New)LW221997-03-06No182 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Josh LeivoDevils (New)LW/RW261993-05-26No192 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Libor HajekDevils (New)D211998-02-04No204 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Mark JankowskiDevils (New)C241994-09-13No212 Lbs6 ft4NoNoNo1Pro & Farm900,000$0$0$NoLien
Martin NecasDevils (New)C/RW201999-01-15No189 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Matt CullenDevils (New)C/LW421976-11-02No202 Lbs6 ft1NoNoNo2Pro & Farm1,004,790$0$0$No1,004,790$Lien
Michael McLeodDevils (New)C211998-02-03No188 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Nate ThompsonDevils (New)C341984-10-05No207 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Nathan BeaulieuDevils (New)D261992-12-05No200 Lbs6 ft2NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Niklas HanssonDevils (New)D241995-01-08No180 Lbs6 ft1NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Rasmus AnderssonDevils (New)D221996-10-27No214 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Reece WillcoxDevils (New)D251994-03-20No205 Lbs6 ft4NoNoNo1Pro & Farm300,000$0$0$NoLien
Remi ElieDevils (New)LW241995-04-16No215 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Richard BachmanDevils (New)G311987-07-25No183 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien
Robert ThomasDevils (New)C/RW201999-07-02No188 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Roland McKeownDevils (New)D231996-01-20No195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Sebastian RepoDevils (New)RW231996-06-23No211 Lbs6 ft3NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Sheldon RempalDevils (New)RW231995-08-07No165 Lbs5 ft10NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Tom McCollumDevils (New)G291989-12-07No220 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Travis DermottDevils (New)D221996-12-22No204 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$NoLien
Ty DellandreaDevils (New)C182000-07-21No190 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Tyler BensonDevils (New)LW211998-03-15No190 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Ville HussoDevils (New)G241995-02-06No205 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3124.03197 Lbs6 ft11.87529,187$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin WatsonMark JankowskiDrake Batherson40122
2Matt CullenNate ThompsonRobert Thomas30122
3Josh LeivoMartin NecasChristian Fischer20122
4Tyler BensonMichael McLeodMark Jankowski10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottRasmus Andersson40122
2Nathan BeaulieuFilip Hronek30122
3Reece WillcoxLibor Hajek20122
4Travis DermottRasmus Andersson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Austin WatsonMark JankowskiDrake Batherson60122
2Matt CullenNate ThompsonRobert Thomas40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Mark JankowskiAustin Watson60122
2Nate ThompsonMatt Cullen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Mark Jankowski60122Travis DermottRasmus Andersson60122
2Austin Watson40122Nathan BeaulieuFilip Hronek40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Mark JankowskiAustin Watson60122
2Drake BathersonNate Thompson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Travis DermottRasmus Andersson60122
2Nathan BeaulieuFilip Hronek40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin WatsonMark JankowskiDrake BathersonTravis DermottRasmus Andersson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Austin WatsonMark JankowskiDrake BathersonTravis DermottRasmus Andersson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Remi Elie, Josh Leivo, Christian FischerRemi Elie, Josh LeivoChristian Fischer
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reece Willcox, Libor Hajek, Nathan BeaulieuReece WillcoxLibor Hajek, Nathan Beaulieu
Tirs de Pénalité
Mark Jankowski, Austin Watson, Drake Batherson, Nate Thompson, Matt Cullen
Gardien
#1 : Connor Ingram, #2 : Tom McCollum


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 Billets3515
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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 164,048$ 0$ 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
Séries
14231670000051321911740000022193129300000291316325189140061515147698150176189183622166380503147149.52%1691392.31%053097754.25%45489150.95%18636251.38%749524661210356183
Total Séries231670000051321911740000022193129300000291316325189140061515147698150176189183622166380503147149.52%1691392.31%053097754.25%45489150.95%18636251.38%749524661210356183