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LHSRSM


Comets
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Sacha Verville | Morale : 50 | Moyenne d'Équipe : 61
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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 SPÂgeContratSalaire
1Barrett HaytonXX100.006041836675726864716558606360620336201922,644,167$
2Matthew FordX100.00655185577986835854575659558674050620351650,000$
3Anton BlidhX100.00674778617583765953566062596965013610242700,000$
4Sebastian RepoX100.00714985578679805852545659586764050610231740,000$
5Kole LindX100.005751856073868258545956615863620506002021,125,000$
6Vitali KravtsovX100.006442856081787758525555575961630506001931,775,000$
7Ryan WhiteX100.00716859587477725660515554588069050590311650,000$
8Scott SabourinX100.00716582568563665451535358567568050590271700,000$
9Stelio MattheosX100.00624288597673695861535657596162050590203925,000$
10Jan DrozgX100.00584389577577745650525554586163050580203925,000$
11Noah DobsonX100.005842876883746166306954625160630126301931,431,667$
12Daniel BrickleyX100.00644386598479725830575660536965050610242700,000$
13Michael KaplaX100.00614289607479815930585356457166050600251650,000$
Rayé
MOYENNE D'ÉQUIPE100.0064488360787774595057565856686504360
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
1Jake Oettinger100.0077716993767577767577766367050660
Rayé
MOYENNE D'ÉQUIPE100.007771699376757776757776636705066
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
Anton BlidhComets (VAN)LW241995-03-14No201 Lbs6 ft0NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Barrett HaytonComets (VAN)C/LW192000-06-09No190 Lbs6 ft1NoNoNo2Pro & Farm2,644,167$0$0$No2,644,167$Lien
Daniel BrickleyComets (VAN)D241995-03-30No203 Lbs6 ft3NoNoNo2Pro & Farm700,000$0$0$No700,000$Lien / Lien NHL
Jake OettingerComets (VAN)G201998-12-18No220 Lbs6 ft5NoNoNo3Pro & Farm1,387,500$0$0$No1,387,500$1,387,500$Lien / Lien NHL
Jan DrozgComets (VAN)RW201999-04-01No174 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Kole LindComets (VAN)RW201998-10-16No178 Lbs6 ft1NoNoNo2Pro & Farm1,125,000$0$0$No1,125,000$Lien / Lien NHL
Matthew FordComets (VAN)RW351984-10-09No207 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Michael KaplaComets (VAN)D251994-09-19No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Noah DobsonComets (VAN)D192000-01-07No184 Lbs6 ft4NoNoNo3Pro & Farm1,431,667$0$0$No1,431,667$1,431,667$Lien
Ryan WhiteComets (VAN)C311988-03-17No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Scott SabourinComets (VAN)RW271992-07-30No208 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Sebastian RepoComets (VAN)RW231996-06-23No211 Lbs6 ft3NoNoNo1Pro & Farm740,000$0$0$NoLien / Lien NHL
Stelio MattheosComets (VAN)C201999-06-14No196 Lbs6 ft1NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien / Lien NHL
Vitali KravtsovComets (VAN)LW191999-12-23No189 Lbs6 ft3NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1423.29197 Lbs6 ft22.001,071,667$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton BlidhStelio MattheosMatthew Ford30122
2Vitali KravtsovRyan WhiteSebastian Repo30122
3Jan DrozgScott SabourinKole Lind25122
4Sebastian RepoMatthew FordScott Sabourin15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Daniel BrickleyMichael Kapla30122
230122
325122
4Daniel BrickleyMichael Kapla15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Anton BlidhStelio MattheosMatthew Ford60122
2Vitali KravtsovRyan WhiteSebastian Repo40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Matthew FordSebastian Repo60122
2Anton BlidhVitali Kravtsov40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Matthew Ford60122Daniel BrickleyMichael Kapla60122
2Sebastian Repo4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matthew FordSebastian Repo60122
2Anton BlidhVitali Kravtsov40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Daniel BrickleyMichael Kapla60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton BlidhStelio MattheosMatthew FordDaniel BrickleyMichael Kapla
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Anton BlidhStelio MattheosMatthew FordDaniel BrickleyMichael Kapla
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kole Lind, Jan Drozg, Stelio MattheosKole Lind, Jan DrozgStelio Mattheos
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Brickley, Michael Kapla, Daniel BrickleyMichael Kapla,
Tirs de Pénalité
Matthew Ford, Sebastian Repo, Anton Blidh, Vitali Kravtsov, Kole Lind
Gardien
#1 : Jake Oettinger, #2 :


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
Capacité20001000
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 JourCapacitéPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,500,334$ 417,750$ 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$ 8 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
Saison Régulière
282362902294247219284116170114211811264120120115212910722722474156622495736818225277173971375272182970014783517019.94%2925381.85%21080236045.76%1321315041.94%536127841.94%1838124520966371056513
382313702192197219-224115160207110492124116210012193127-34621973335301568595920226275675472975301990156214213156620.95%2303186.52%11046240843.44%1168313637.24%464117539.49%1824124921286141031498
4821453030210170284-114418270101483133-50416260201687151-6428170279449126259441123726758268408235211091999176851710921.08%4258979.06%1843262432.13%1116368730.27%390116033.62%15219912509647957422
582136200115200465-2654172900104109238-129416330001191227-136262003415412081625632645878908836424327124429016321613119.25%1114460.36%01103236646.62%1279315140.59%663146445.29%14119842605572936395
682136401103257506-2494173200002139251-1124163201101118255-1372625741967650109895823314112310851090275164150027320601573421.66%1213174.38%01229280543.81%1388351839.45%650153142.46%148010472536564922397
782116601112247582-3354173200011127277-1504143401101120305-1852224740465100111765833100103710381010285133147329821821653018.18%1285259.38%0855258733.05%851308627.58%418155326.92%143310072586564919384
882117000001227645-4184173400000112305-1934143600001115340-22522227414641109374600291997996197396039177824719241161714.66%1133866.37%1680221130.76%953340527.99%420157826.62%11547832890554879340
882117000001227645-4184173400000112305-1934143600001115340-22522227414641109374600291997996197396039177824719241161714.66%1133866.37%1680221130.76%953340527.99%420157826.62%11547832890554879340
98286800042195677-4824153200031107319-212413360001188358-270261953485432078516262634884855867546016173330218781381712.32%1384666.67%1866240236.05%1023368827.74%460157329.24%11677832890565892347
Total Saison Régulière738148519096263019674242-227536979253042161510112032-10213696926605410159562210-1254306196733675334151179061752563244178082812780314014197912327391816267203639119.20%167142274.75%783822197438.15%100523022633.26%44211289034.30%12987887423134527584763639
Séries
21275000002426-252300000914-575200000151231424456901498334710110911522415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073
Total Séries1275000002426-252300000914-575200000151231424456901498334710110911522415115137215481122.92%47882.98%016338742.12%18450336.58%7717244.77%26217133410016073