Rangers

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Libre | Morale : 1 | Moyenne d'Équipe : 63
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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
1Tom Wilson (R)X100.008382567387768791607072776775717952730
2Marcus KrugerX100.005042837072757883909163685886793417710
3Jiri Sekac (R)X100.008049617560495673617165606172694539640
4Nick Ritchie (R)X100.008356707781527269596268606359548737640
5Mark McNeill (R)X100.009785716164676768806461646161534137630
6Corey Tropp (R)X100.005239697371606868505763566375714442620
7Dennis Rasmussen (R)X100.006038806678466657805963725466574743610
8Lawson Crouse (R)X100.007358757184476359315655645652509552590
9Christoph Bertschy (R)X100.004935767262454859586656595858517939570
10Marek Hrivik (R)X100.005035817074475260465755605664535546570
11Tyler Bertuzzi (R)X100.005337717070464359305652625556408737550
12Sean Kuraly (R)X100.005135756776454156425053635360507146550
13Jakob Forsbacka Karlsson (R)X100.004435847169454045334141534854509546490
14Clayton Stoner (R)X100.009999626881667177256458805878891446720
15Chris ButlerX100.006532876276767683486863726176852351690
16Aaron JohnsonX100.00834783647569746849665662579189739670
17Chad Ruhwedel (R)X100.005235807066666968256554745675715139650
18Seth Helgeson (R)X100.006146706282666678255454735566595738640
19Andrew Macwilliam (R)X100.005717816277656870484452715655564725620
20Adam Pelech (R)X100.006139846580606563255449675258517925610
21John Ramage (R)X100.006177616964636867256154605662624525610
22Gabriel Carlsson (R)X100.004935856578524047304040544752489525520
Rayé
1Paul Carey (R)X100.004935777272464161415658577056315045560
2Tanner Richard (R)X100.005236697168454457445554595560567144560
3Evgeny DadonovX100.003421946572525550274441564867697015520
4Joey Hishon (R)X100.0039499726145481705548595370675539490
5Patrick Sieloff (R)X100.005370686664546059185247565251514425550
MOYENNE D'ÉQUIPE100.00614576687356606345585564576560583860
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
1Jonas Gustavsson100.00707782787777808487916199996242800
2Reto Berra100.00706589828383838585848588802446790
Rayé
1Scott Wedgewood (R)100.00677582777583818279757677726319750
2Dustin Tokarski (R)100.00637873767186858081727777766220750
MOYENNE D'ÉQUIPE100.0068748278778282838381758582533277
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tom Renney48526254936763CAN623650,000$


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'ÉquipePOS GP 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 CONT StatusType Salaire Actuel Salaire RestantSalaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Aaron JohnsonRangers (NYR)D331984-08-02 23:11:13No199 Lbs6 ft0NoNoNo1Sans RestrictionPro & Farm575,000$
Adam PelechRangers (NYR)D221995-08-03 17:11:13Yes220 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm925,000$925,000$
Andrew MacwilliamRangers (NYR)D261991-08-03 17:11:13Yes214 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm875,000$
Chad RuhwedelRangers (NYR)D261991-08-03 17:11:13Yes181 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm650,000$
Chris ButlerRangers (NYR)D301987-08-03 17:11:13No211 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm900,000$900,000$900,000$
Christoph BertschyRangers (NYR)C221995-08-03 17:11:13Yes189 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm925,000$925,000$
Clayton StonerRangers (NYR)D331984-08-02 23:11:13Yes232 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,500,000$1,500,000$1,500,000$
Corey TroppRangers (NYR)RW271990-08-03 11:11:13Yes188 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Dennis Rasmussen Rangers (NYR)C271990-07-03 06:30:32Yes205 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm575,000$575,000$
Dustin TokarskiRangers (NYR)D271990-08-03 11:11:14Yes199 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm575,000$
Evgeny DadonovRangers (NYR)RW271990-08-03 11:11:13No190 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm575,000$
Gabriel CarlssonRangers (NYR)D211997-01-02 10:15:54Yes191 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm894,166$894,166$894,166$
Jakob Forsbacka KarlssonRangers (NYR)C211996-10-31 10:19:50Yes184 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm916,667$916,667$916,667$
Jiri SekacRangers (NYR)RW241993-08-03 05:11:13Yes176 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm777,777$
Joey HishonRangers (NYR)C251992-08-02 23:11:13Yes173 Lbs5 ft10NoNoNo1Avec RestrictionPro & Farm850,500$
John RamageRangers (NYR)D251992-08-02 23:11:13Yes187 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm690,000$
Jonas GustavssonRangers (NYR)C321985-08-03 05:11:14No201 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm1,500,000$
Lawson CrouseRangers (NYR)LW201997-06-23 10:23:02Yes220 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm894,167$894,167$894,167$
Marcus KrugerRangers (NYR)C261991-08-03 17:11:13No186 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm1,250,000$1,250,000$1,250,000$
Marek HrivikRangers (NYR)LW261991-08-28 10:24:46Yes197 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Mark McNeillRangers (NYR)C231994-08-03 11:11:13Yes214 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,113,000$1,113,000$
Nick RitchieRangers (NYR)LW211996-08-02 23:11:13Yes226 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm1,627,000$1,627,000$
Patrick SieloffRangers (NYR)D221995-08-03 17:11:13Yes200 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm894,000$894,000$
Paul CareyRangers (NYR)LW291988-09-24 03:19:13Yes198 Lbs6 ft1NoNoNo1Avec RestrictionPro & Farm650,000$
Reto BerraRangers (NYR)C291988-08-02 23:11:14No196 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm1,500,000$
Scott WedgewoodRangers (NYR)RW241993-08-03 05:11:14Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm575,000$575,000$
Sean KuralyRangers (NYR)C251993-01-20 13:23:25Yes205 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm808,750$808,750$808,750$
Seth HelgesonRangers (NYR)D261991-08-03 17:11:13Yes222 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm595,000$
Tanner RichardRangers (NYR)LW251993-04-06 04:17:07Yes192 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Tom WilsonRangers (NYR)RW221995-08-03 17:11:13Yes217 Lbs6 ft5NoNoNo3Contrat d'EntréePro & Farm1,400,000$1,400,000$1,400,000$
Tyler BertuzziRangers (NYR)RW231995-02-24 10:26:33Yes198 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm661,667$661,667$661,667$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3125.45200 Lbs6 ft12.00886,216$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieMarcus KrugerTom Wilson40122
2Lawson CrouseMark McNeillJiri Sekac30122
3Marek HrivikDennis Rasmussen Corey Tropp20122
4Tom WilsonChristoph BertschyTyler Bertuzzi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Clayton StonerChris Butler40122
2Aaron JohnsonChad Ruhwedel30122
3Seth HelgesonAndrew Macwilliam20122
4John RamageAdam Pelech10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Nick RitchieMarcus KrugerTom Wilson60122
2Lawson CrouseMark McNeillJiri Sekac40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Clayton StonerChris Butler60122
2Aaron JohnsonChad Ruhwedel40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tom WilsonMarcus Kruger60122
2Jiri SekacNick Ritchie40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Clayton StonerChris Butler60122
2Aaron JohnsonChad Ruhwedel40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tom Wilson60122Clayton StonerChris Butler60122
2Marcus Kruger40122Aaron JohnsonChad Ruhwedel40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tom WilsonMarcus Kruger60122
2Jiri SekacNick Ritchie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Clayton StonerChris Butler60122
2Aaron JohnsonChad Ruhwedel40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieMarcus KrugerTom WilsonClayton StonerChris Butler
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nick RitchieMarcus KrugerTom WilsonClayton StonerChris Butler
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sean Kuraly, Jakob Forsbacka Karlsson, Corey TroppSean Kuraly, Jakob Forsbacka KarlssonCorey Tropp
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Carlsson, Seth Helgeson, Andrew MacwilliamGabriel CarlssonSeth Helgeson, Andrew Macwilliam
Tirs de Pénalité
Tom Wilson, Marcus Kruger, Jiri Sekac, Nick Ritchie, Mark McNeill
Gardien
#1 : Jonas Gustavsson, #2 : Reto Berra


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
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,747,271$ 835,043$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
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