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Palm Springs
GP: 45 | W: 26 | L: 16 | OTL: 3 | P: 55
GF: 207 | GA: 177 | PP%: 21.74% | PK%: 79.55%
DG: Mathieu Girard | Morale : 50 | Moyenne d’équipe : 64
Prochains matchs #712 vs Barracuda
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Centre de jeu
Reign
32-9-2, 66pts
2
FINAL
5 Palm Springs
26-16-3, 55pts
Team Stats
W1StreakL1
19-4-2Home Record12-11-2
13-5-0Away Record14-5-1
7-2-1Last 10 Games7-2-1
4.26Goals Per Game4.60
2.74Goals Against Per Game3.93
23.53%Power Play Percentage21.74%
85.29%Penalty Kill Percentage79.55%
IceHogs
27-12-6, 60pts
8
FINAL
3 Palm Springs
26-16-3, 55pts
Team Stats
L1StreakL1
12-4-6Home Record12-11-2
15-8-0Away Record14-5-1
7-3-0Last 10 Games7-2-1
4.22Goals Per Game4.60
3.07Goals Against Per Game3.93
22.12%Power Play Percentage21.74%
83.67%Penalty Kill Percentage79.55%
Barracuda
28-11-4, 60pts
2022-01-20
Palm Springs
26-16-3, 55pts
Statistiques d’équipe
OTL1SéquenceL1
17-3-3Fiche domicile12-11-2
11-8-1Fiche visiteur14-5-1
5-4-110 derniers matchs7-2-1
4.44Buts par match 4.60
3.09Buts contre par match 3.93
24.18%Pourcentage en avantage numérique21.74%
79.61%Pourcentage en désavantage numérique79.55%
Rampage
18-20-4, 40pts
2022-01-21
Palm Springs
26-16-3, 55pts
Statistiques d’équipe
W4SéquenceL1
11-10-2Fiche domicile12-11-2
7-10-2Fiche visiteur14-5-1
5-3-210 derniers matchs7-2-1
3.86Buts par match 4.60
3.26Buts contre par match 3.93
16.28%Pourcentage en avantage numérique21.74%
78.85%Pourcentage en désavantage numérique79.55%
Thunderbirds
24-15-4, 52pts
2022-01-23
Palm Springs
26-16-3, 55pts
Statistiques d’équipe
W4SéquenceL1
15-7-3Fiche domicile12-11-2
9-8-1Fiche visiteur14-5-1
7-2-110 derniers matchs7-2-1
3.33Buts par match 4.60
2.49Buts contre par match 3.93
17.28%Pourcentage en avantage numérique21.74%
88.66%Pourcentage en désavantage numérique79.55%
Meneurs d'équipe
Zach WhitecloudButs
Zach Whitecloud
4
Zach WhitecloudPasses
Zach Whitecloud
20
Zach WhitecloudPoints
Zach Whitecloud
24
Zach WhitecloudPlus/Moins
Zach Whitecloud
7
Filip GustavssonVictoires
Filip Gustavsson
26
Filip GustavssonPourcentage d’arrêts
Filip Gustavsson
0.911

Statistiques d’équipe
Buts pour
207
4.60 GFG
Tirs pour
2059
45.76 Avg
Pourcentage en avantage numérique
21.7%
20 GF
Début de zone offensive
40.1%
Buts contre
177
3.93 GAA
Tirs contre
1928
42.84 Avg
Pourcentage en désavantage numérique
79.5%
9 GA
Début de la zone défensive
40.9%
Informations de l'équipe

Directeur généralMathieu Girard
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro7
Équipe Mineure22
Limite contact 29 / 250
Espoirs7


Historique d'équipe

Saison actuelle26-16-3 (55PTS)
Historique26-16-6 (0.542%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
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
1Arttu RuotsalainenX100.00644283746685827073687165726768050670222925,000$
2Janne KuokkanenXX100.00543591727685877369746764716669050670221894,166$
3Isac LundestromX100.00563592687288826778656469666365050650201925,000$
4Adam MascherinX100.00634681647277826568616362646567050630221880,000$
5Mason ShawX100.00573574626668735971605856596566050600211925,000$
6Josh MahuraX100.00573592667280756730696160536563050640221910,833$
Rayé
MOYENNE D’ÉQUIPE100.0059388668718180676566646364656605064
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
1Filip Gustavsson100.0074858177737274737274736569050640221910,833$
Rayé
MOYENNE D’ÉQUIPE100.007485817773727473727473656905064
Nom de l’entraîneur 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
1Janne KuokkanenPalm Springs (SEA)C/LW453346791120712223661042539.02%39109224.28391243830003446157.47%162700021.4524000543
2Arttu RuotsalainenPalm Springs (SEA)C45423274194011020835511526011.83%5394521.0144839710003445155.79%117400031.5714000764
3Adam MascherinPalm Springs (SEA)LW45373168111751431293499924410.60%5499622.15651148810000244054.22%8300031.3612100356
4Mason ShawPalm Springs (SEA)LW45253358104064145290841948.62%4382918.431342768000073160.53%7600021.4002000235
5Isac LundestromPalm Springs (SEA)C45391756060971542947520413.27%9485418.98000110002266361.17%95800041.3103000512
6Josh MahuraPalm Springs (SEA)D45845531614079759937588.08%82103823.085383155000326010.00%000001.0201000042
7Zach WhitecloudKrakenD2642024724089515912356.78%5359522.900221239000010100.00%000000.8100000102
Statistiques d’équipe totales ou en moyenne296188224412747156539841812526124810.38%418635121.461926452014010001118425757.86%3918000141.30416100232324
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
1Filip GustavssonPalm Springs (SEA)45261430.9113.77257710216218210420.72218450231
Statistiques d’équipe totales ou en moyenne45261430.9113.77257710216218210420.72218450231


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam MascherinPalm Springs (SEA)LW221998-06-06No200 Lbs5 ft11NoNoNo1Pro & Farm880,000$0$0$NoLien / Lien NHL
Arttu RuotsalainenPalm Springs (SEA)C221997-10-29No185 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Filip GustavssonPalm Springs (SEA)G221998-06-07No184 Lbs6 ft2NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Isac LundestromPalm Springs (SEA)C201999-11-06No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Janne KuokkanenPalm Springs (SEA)C/LW221998-05-25No193 Lbs6 ft1NoNoNo1Pro & Farm894,166$0$0$NoLien / Lien NHL
Josh MahuraPalm Springs (SEA)D221998-05-05No186 Lbs6 ft0NoNoNo1Pro & Farm910,833$0$0$NoLien / Lien NHL
Mason ShawPalm Springs (SEA)LW211998-11-03No182 Lbs5 ft9NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
721.57188 Lbs5 ft111.14910,119$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam MascherinJanne Kuokkanen40122
2Mason ShawArttu Ruotsalainen30122
3Isac Lundestrom20122
4Arttu RuotsalainenJanne KuokkanenIsac Lundestrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura40122
230122
320122
4Josh Mahura10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Adam MascherinJanne Kuokkanen60122
2Mason ShawArttu Ruotsalainen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Janne KuokkanenArttu Ruotsalainen60122
2Isac LundestromAdam Mascherin40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Janne Kuokkanen60122Josh Mahura60122
2Arttu Ruotsalainen4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Janne KuokkanenArttu Ruotsalainen60122
2Isac LundestromAdam Mascherin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam MascherinJanne KuokkanenJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Adam MascherinJanne KuokkanenJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Isac Lundestrom, Adam MascherinMason Shaw, Isac LundestromAdam Mascherin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Josh Mahura, Josh Mahura,
Tirs de pénalité
Janne Kuokkanen, Arttu Ruotsalainen, Isac Lundestrom, Adam Mascherin, Mason Shaw
Gardien
#1 : Filip Gustavsson, #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
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
1Admirals11000000651000000000001100000065121.00069150080784575866370467040451342411100.00%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
2Americans21100000111101010000045-11100000076120.500111627008078457856637046704089312295120.00%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
3Barracuda10001000651000000000001000100065121.0006814008078457556637046704054170183133.33%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
4Bears11000000523110000005230000000000021.00057120080784574066370467040417018300.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
5Checkers1010000037-41010000037-40000000000000.00035800807845739663704670404512024400.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
6Comets3300000024111322000000197121100000054161.000243559008078457186663704670401442810654125.00%4175.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
7Condors321000002291321100000125711000000104640.66722325411807845714566370467040127251978100.00%7185.71%0966171856.23%938175253.54%44481154.75%10307601168296527253
8Crunch1010000045-1000000000001010000045-100.00046100080784573166370467040561441222100.00%2150.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
9Devils11000000615000000000001100000061521.000610160080784577766370467040376219100.00%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
10Eagles2110000034-11010000014-31100000020220.500336018078457726637046704071266264125.00%30100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
11Griffins11000000532000000000001100000053221.000581300807845753663704670403394229333.33%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
12Gulls2000100110100100010005411000000156-130.7501015250080784578866370467040100258355120.00%4175.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
13Heat210000019721000000145-11100000052330.75091019008078457976637046704069258392150.00%30100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
14IceHogs20200000513-820200000513-80000000000000.000561100807845757663704670409028244200.00%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
15Marlies11000000532110000005320000000000021.0005611008078457446637046704051122123133.33%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
16Monsters2020000015-41010000012-11010000003-300.00012300807845772663704670409421238300.00%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
17Moose20100010810-21010000036-31000001054120.50081119008078457107663704670409626236300.00%110.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
18Penguins1010000035-21010000035-20000000000000.000369108078457486637046704034134176116.67%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
19Phantoms20200000914-51010000067-11010000037-400.00091423008078457616637046704093264373133.33%20100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
20Rampage1010000006-6000000000001010000006-600.00000000807845739663704670404413214300.00%110.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
21Reign11000000523110000005230000000000021.0005813008078457296637046704045192223133.33%10100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
22Roadrunners21001000963110000005321000100043141.00091120008078457806637046704091418544125.00%30100.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
23Rocket1000000134-11000000134-10000000000010.5003470080784574566370467040297031100.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
24Senators11000000422110000004220000000000021.000471100807845736663704670404113019100.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
25Sound Tigers11000000523110000005230000000000021.000591400807845742663704670403662184125.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
26Stars1100000011470000000000011000000114721.0001117280080784579266370467040448027100.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
27Thunderbirds11000000312000000000001100000031221.0003360080784573766370467040328018200.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
28Wild220000001661022000000166100000000000041.0001626420080784571486637046704080216473266.67%3233.33%0966171856.23%938175253.54%44481154.75%10307601168296527253
29Wolf Pack1010000007-71010000007-70000000000000.00000000807845735663704670404616019100.00%000.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
30Wolves2110000067-1000000000002110000067-120.500681400807845761663704670407122449500.00%2150.00%0966171856.23%938175253.54%44481154.75%10307601168296527253
Total452216030132071773025111101002114101132011502011937617550.6112073025092280784572059663704670401928538107911922021.74%44979.55%0966171856.23%938175253.54%44481154.75%10307601168296527253
_Since Last GM Reset452216030132071773025111101002114101132011502011937617550.6112073025092280784572059663704670401928538107911922021.74%44979.55%0966171856.23%938175253.54%44481154.75%10307601168296527253
_Vs Conference27129030121221022013560100157507147302011655213340.630122174296128078457125366370467040115433977573521223.08%32778.13%0966171856.23%938175253.54%44481154.75%10307601168296527253
_Vs Division145700010825131724000004523227330001037289120.42982116198118078457661663704670406101615130623521.74%21480.95%0966171856.23%938175253.54%44481154.75%10307601168296527253

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4555L12073025092059192853810791122
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4522163013207177
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2511111002114101
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2011520119376
Derniers 10 matchs
WLOTWOTL SOWSOL
620011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
922021.74%44979.55%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
663704670408078457
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
966171856.23%938175253.54%44481154.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10307601168296527253


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 - 2021-10-122Palm Springs5Wolves2AWSommaire du match
3 - 2021-10-1415Palm Springs6Admirals5AWSommaire du match
5 - 2021-10-1628Palm Springs0Monsters3ALSommaire du match
7 - 2021-10-1836Palm Springs3Phantoms7ALSommaire du match
8 - 2021-10-1942Palm Springs6Devils1AWSommaire du match
12 - 2021-10-2378Comets2Palm Springs9BWSommaire du match
15 - 2021-10-2696Rocket4Palm Springs3BLXXSommaire du match
17 - 2021-10-28108Wild1Palm Springs9BWSommaire du match
20 - 2021-10-31131Wolf Pack7Palm Springs0BLSommaire du match
21 - 2021-11-01134Palm Springs10Condors4AWSommaire du match
24 - 2021-11-04155Americans5Palm Springs4BLSommaire du match
26 - 2021-11-06172Palm Springs4Roadrunners3AWXSommaire du match
29 - 2021-11-09191Palm Springs1Wolves5ALSommaire du match
31 - 2021-11-11205Gulls4Palm Springs5BWXSommaire du match
33 - 2021-11-13223Wild5Palm Springs7BWSommaire du match
37 - 2021-11-17245IceHogs5Palm Springs2BLSommaire du match
39 - 2021-11-19260Eagles4Palm Springs1BLSommaire du match
41 - 2021-11-21279Bears2Palm Springs5BWSommaire du match
44 - 2021-11-24302Checkers7Palm Springs3BLSommaire du match
46 - 2021-11-26312Palm Springs4Crunch5ALSommaire du match
47 - 2021-11-27317Palm Springs3Thunderbirds1AWSommaire du match
49 - 2021-11-29333Palm Springs7Americans6AWSommaire du match
51 - 2021-12-01349Palm Springs5Griffins3AWSommaire du match
53 - 2021-12-03366Condors5Palm Springs3BLSommaire du match
56 - 2021-12-06387Penguins5Palm Springs3BLSommaire du match
59 - 2021-12-09409Moose6Palm Springs3BLSommaire du match
61 - 2021-12-11428Monsters2Palm Springs1BLSommaire du match
64 - 2021-12-14450Palm Springs6Barracuda5AWXSommaire du match
65 - 2021-12-15453Palm Springs5Gulls6ALXXSommaire du match
68 - 2021-12-18480Condors0Palm Springs9BWSommaire du match
69 - 2021-12-19487Marlies3Palm Springs5BWSommaire du match
71 - 2021-12-21502Roadrunners3Palm Springs5BWSommaire du match
73 - 2021-12-23518Palm Springs5Heat2AWSommaire du match
77 - 2021-12-27534Palm Springs5Comets4AWSommaire du match
79 - 2021-12-29550Phantoms7Palm Springs6BLSommaire du match
80 - 2021-12-30556Heat5Palm Springs4BLXXSommaire du match
82 - 2022-01-01572Comets5Palm Springs10BWSommaire du match
85 - 2022-01-04595Sound Tigers2Palm Springs5BWSommaire du match
87 - 2022-01-06610Senators2Palm Springs4BWSommaire du match
89 - 2022-01-08620Palm Springs5Moose4AWXXSommaire du match
91 - 2022-01-10634Palm Springs2Eagles0AWSommaire du match
93 - 2022-01-12647Palm Springs11Stars4AWSommaire du match
94 - 2022-01-13655Palm Springs0Rampage6ALSommaire du match
96 - 2022-01-15678Reign2Palm Springs5BWSommaire du match
98 - 2022-01-17686IceHogs8Palm Springs3BLSommaire du match
101 - 2022-01-20712Barracuda-Palm Springs-
102 - 2022-01-21720Rampage-Palm Springs-
104 - 2022-01-23735Thunderbirds-Palm Springs-
106 - 2022-01-25751Admirals-Palm Springs-
108 - 2022-01-27762Palm Springs-Penguins-
110 - 2022-01-29774Palm Springs-Sound Tigers-
111 - 2022-01-30783Palm Springs-Wolf Pack-
113 - 2022-02-01795Palm Springs-Bruins-
136 - 2022-02-24821Bruins-Palm Springs-
139 - 2022-02-27846Palm Springs-Barracuda-
142 - 2022-03-02863Admirals-Palm Springs-
145 - 2022-03-05885Palm Springs-Bears-
146 - 2022-03-06893Palm Springs-Checkers-
148 - 2022-03-08906Palm Springs-Marlies-
150 - 2022-03-10918Palm Springs-Senators-
152 - 2022-03-12935Palm Springs-Rocket-
156 - 2022-03-16967Crunch-Palm Springs-
159 - 2022-03-19993Griffins-Palm Springs-
163 - 2022-03-231017Palm Springs-Roadrunners-
165 - 2022-03-251033Palm Springs-Gulls-
166 - 2022-03-261044Palm Springs-Reign-
168 - 2022-03-281058Palm Springs-Reign-
170 - 2022-03-301073Wolves-Palm Springs-
172 - 2022-04-011088Wolves-Palm Springs-
174 - 2022-04-031108Stars-Palm Springs-
177 - 2022-04-061125Palm Springs-Rampage-
178 - 2022-04-071132Palm Springs-IceHogs-
180 - 2022-04-091149Heat-Palm Springs-
183 - 2022-04-121173Palm Springs-Heat-
184 - 2022-04-131179Palm Springs-Moose-
187 - 2022-04-161208Devils-Palm Springs-
191 - 2022-04-201232Eagles-Palm Springs-
193 - 2022-04-221245Palm Springs-Wild-
194 - 2022-04-231255Palm Springs-Stars-
197 - 2022-04-261284Palm Springs-Comets-
198 - 2022-04-271289Reign-Palm Springs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
200 - 2022-04-291311Barracuda-Palm Springs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
335,070$ 637,083$ 544,583$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 335,070$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 102 3,170$ 323,340$




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
10452216030132071773025111101002114101132011502011937617552073025092280784572059663704670401928538107911922021.74%44979.55%0966171856.23%938175253.54%44481154.75%10307601168296527253
Total Saison régulière452216030132071773025111101002114101132011502011937617552073025092280784572059663704670401928538107911922021.74%44979.55%0966171856.23%938175253.54%44481154.75%10307601168296527253