Connexion

Palm Springs
GP: 13 | W: 8 | L: 4 | OTL: 1 | P: 17
GF: 44 | GA: 36 | PP%: 29.17% | PK%: 73.81%
DG: Samuel Guillemette | Morale : 46 | Moyenne d’équipe : 63
Prochains matchs #252 vs Chicago Wolves
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Centre de jeu
Ontario Reign
9-5-2, 20pts
1
FINAL
5 Palm Springs
8-4-1, 17pts
Team Stats
L1StreakW2
5-1-1Home Record6-1-1
4-4-1Away Record2-3-0
5-3-2Last 10 Games7-2-1
3.56Buts par match 3.38
3.38Buts contre par match 2.77
28.95%Pourcentage en avantage numérique29.17%
85.71%Pourcentage en désavantage numérique73.81%
Chicago Wolves
6-10-1, 13pts
2
FINAL
4 Palm Springs
8-4-1, 17pts
Team Stats
L1StreakW2
3-3-1Home Record6-1-1
3-7-0Away Record2-3-0
4-5-1Last 10 Games7-2-1
2.71Buts par match 3.38
3.71Buts contre par match 2.77
20.45%Pourcentage en avantage numérique29.17%
64.81%Pourcentage en désavantage numérique73.81%
Palm Springs
8-4-1, 17pts
2023-11-17
Chicago Wolves
6-10-1, 13pts
Statistiques d’équipe
W2SéquenceL1
6-1-1Fiche domicile3-3-1
2-3-0Fiche visiteur3-7-0
7-2-110 derniers matchs4-5-1
3.38Buts par match 2.71
2.77Buts contre par match 2.71
29.17%Pourcentage en avantage numérique20.45%
73.81%Pourcentage en désavantage numérique64.81%
Hartford Wolf Pack
7-6-2, 16pts
2023-11-19
Palm Springs
8-4-1, 17pts
Statistiques d’équipe
OTL1SéquenceW2
3-3-2Fiche domicile6-1-1
4-3-0Fiche visiteur2-3-0
5-3-210 derniers matchs7-2-1
3.53Buts par match 3.38
4.07Buts contre par match 3.38
34.15%Pourcentage en avantage numérique29.17%
63.46%Pourcentage en désavantage numérique73.81%
Palm Springs
8-4-1, 17pts
2023-11-22
Tulsa Oilers
7-7-1, 15pts
Statistiques d’équipe
W2SéquenceL1
6-1-1Fiche domicile3-4-1
2-3-0Fiche visiteur4-3-0
7-2-110 derniers matchs4-6-0
3.38Buts par match 3.80
2.77Buts contre par match 3.80
29.17%Pourcentage en avantage numérique32.69%
73.81%Pourcentage en désavantage numérique61.76%
Meneurs d'équipe
Riley BarberButs
Riley Barber
8
Passes
Julien Gauthier
8
Riley BarberPoints
Riley Barber
14
Plus/Moins
Nick Seeler
9
Victoires
Dylan Ferguson
8
Pourcentage d’arrêts
Dylan Ferguson
0.916

Statistiques d’équipe
Buts pour
44
3.38 GFG
Tirs pour
441
33.92 Avg
Pourcentage en avantage numérique
29.2%
7 GF
Début de zone offensive
37.3%
Buts contre
36
2.77 GAA
Tirs contre
418
32.15 Avg
Pourcentage en désavantage numérique
73.8%%
11 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralSamuel Guillemette
EntraîneurLane Lambert
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure21
Limite contact 49 / 100
Espoirs37


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 moyen
1Julien Gauthier 0XXX100.008649886791748068666167626870747653662264775,000$
2Matthew Knies (R)0XXX100.007745707077807970606766685757558851662213925,000$
3Filip Hallander (R)0X100.007645786875868065726460686063627653652233900,000$
4Mason Appleton 0XXX100.0066376767838680646068637065545458406502731,200,000$
5Andrew Poturalski0XXX100.006041916871779168736460635476715447640292700,000$
6Riley Barber0X100.006043926476827865576263666375704954640292750,000$
7Jake Lucchini0XX100.006639886371798464786660686664665751640282833,000$
8Aliaksei Protas (R)0X100.00664816476868564606258666264656551632224900,000$
9Cameron Hughes 0XX100.007537916763848462766359615750516052620274775,000$
10Kristian Reichel0XX100.007143806279788058796160625766655051620252900,000$
11Bryce Kindopp (R)0X100.006335926376848758625853616658637450610242800,000$
12Kole Lind0X100.006756816076787767505558596467667349612252900,000$
13Tyler Benson (R)0XX100.006645776075787860565858606358588549602251750,000$
14Taro Hirose0XX100.006639776067808160605857615871684849600274850,000$
15Xavier Bourgault0X100.006037616169817159626058576061607036590212925,000$
16Nick Seeler0X100.007643776481838262306458774971705147680302950,000$
17Kurtis MacDermid0X100.0084896361977177613063557055777136346702911,800,000$
18Dennis Cholowski 0X100.006937916782828166306459665269707454662251900,000$
19Dylan Blujus0X100.0071487856827772543056526345746969476202910$
20Wyatt Newpower (R)66X100.007530705568777150605859556062627743580262750,000$
21Vincent Sevigny (R)0X100.007755575077757555305555595550505050580224800,000$
Rayé
1Ryan Winterton (R)0XX100.007055656267777560625858626045458036592203828,333$
2Nate Schnarr0X100.0069498661817767596855555959646663275902421,000,000$
3Jack Finley (R)0X100.006860606067727555625558555560607727570214775,000$
MOYENNE D’ÉQUIPE100.00704478637679796157615963596463654662
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 moyen
1Dylan Ferguson0100.007470707972737574737475667059587102541,200,000$
2Devin Cooley0100.007372748869707069707169676976527002621,200,000$
Rayé
1Devon Levi (R)0100.00757071747573747474757560608727700213833,000$
2Michael McNiven0100.00726565806261666761656266706134650261750,000$
MOYENNE D’ÉQUIPE100.0074697080706971717071706567714369
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Lane Lambert82878088828258CAN583150,000$


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
1Riley BarberPalm Springs (SEA)RW138614300192451153315.69%1630923.830112160000171153.85%13085010.9011000203
2Julien Gauthier Palm Springs (SEA)C/LW/RW13581312023205429299.26%725619.701564210000131048.79%20774001.0202000021
3Mason Appleton Palm Springs (SEA)C/LW/RW1345938019930102613.33%217213.2700000000001043.78%21714001.0400000211
4Cameron Hughes Palm Springs (SEA)C/LW13538300952941617.24%013710.58000001011110066.67%971001.1600000011
5Dennis Cholowski Palm Springs (SEA)D13358-1201313186916.67%1126820.6310121500006200.00%038000.6000000000
6Jake LucchiniPalm Springs (SEA)C/LW131781001315298163.45%225719.840334220002150038.10%4257000.6223000100
7Egor SokolovSeattle KrakenC/LW/RW9538-28016930102016.67%417819.823144130002210157.14%7124000.9002000110
8Matthew KniesPalm Springs (SEA)C/LW/RW13336460651391123.08%2755.8111238000010066.67%381001.5900000002
9Filip HallanderPalm Springs (SEA)C1333642017133411148.82%416913.0000000000001159.04%83114000.7101000100
10Andrew PoturalskiPalm Springs (SEA)C/LW/RW130661001073814190.00%720015.40000116000000069.57%2388000.6001000000
11Nick SeelerPalm Springs (SEA)D132469100221927887.41%2532024.63101223000222010.00%01011000.3700000100
12Kristian ReichelPalm Springs (SEA)C/RW131456201010259164.00%623217.860111160000370058.21%67115000.4313000010
13Dylan BlujusPalm Springs (SEA)D1304424013911250.00%1625419.57000214011035000.00%017000.3100000000
14Darren RaddyshSeattle KrakenD90334007910140.00%918720.86000113011013000.00%043000.3200000000
15Aliaksei ProtasPalm Springs (SEA)C13213420135139915.38%216312.540000000000000.00%313000.3700000010
16Bryce KindoppPalm Springs (SEA)RW1302230010310440.00%41199.1600000000000037.50%843000.3411000000
17Kurtis MacDermidPalm Springs (SEA)D5022120554110.00%39919.8600001000013000.00%004000.4000000000
18Wyatt NewpowerPalm Springs (SEA)D12011437518311560.00%1325120.9400000000017000.00%029000.0800000000
19Tyler BensonPalm Springs (SEA)LW/RW13000000200010.00%0342.6600000000013000.00%000000.00%00000000
20Xavier BourgaultPalm Springs (SEA)C4000000000000.00%000.120000000000000.00%000000.00%00000000
21Vincent SevignyPalm Springs (SEA)D130002801194320.00%520015.4600007000026000.00%006000.00%00000000
22Kole LindPalm Springs (SEA)RW13000000000000.00%000.020000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne2604270112529352561924411582499.52%138388814.96712192619012372686450.19%79910397010.58514000878
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
1Dylan FergusonPalm Springs (SEA)138410.9162.647970035418216000.69213130012
Statistiques d’équipe totales ou en moyenne138410.9162.6479700354182160013130012


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 Waiver Possible Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond 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
Aliaksei ProtasPalm Springs (SEA)C222001-01-06 08:50:30Yes225 Lbs6 ft6NoNoNoNo4Pro & Farm900,000$722,318$900,000$722,318$0$0$No900,000$900,000$900,000$Lien
Andrew PoturalskiPalm Springs (SEA)C/LW/RW291994-01-14No189 Lbs5 ft11NoNoNoNo2Pro & Farm700,000$561,803$700,000$561,803$0$0$No700,000$Lien / Lien NHL
Bryce KindoppPalm Springs (SEA)RW241999-06-14 17:58:07Yes190 Lbs6 ft1NoNoNoNo2Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$
Cameron Hughes Palm Springs (SEA)C/LW271996-10-09 12:44:43No183 Lbs5 ft11NoNoNoNo4Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$775,000$
Dennis Cholowski Palm Springs (SEA)D251998-02-15 02:45:22No210 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$722,318$900,000$722,318$0$0$NoLien
Devin CooleyPalm Springs (SEA)G261997-05-25 09:47:42No192 Lbs6 ft5NoNoNoNo2Pro & Farm1,200,000$963,090$1,200,000$963,090$0$0$No1,200,000$
Devon LeviPalm Springs (SEA)G212002-01-03 11:48:13Yes184 Lbs6 ft0NoNoNoNo3Pro & Farm833,000$668,545$833,000$668,545$0$0$No833,000$833,000$Lien
Dylan BlujusPalm Springs (SEA)D291994-01-22No191 Lbs6 ft3NoNoNoNo1Pro & Farm0$0$NoLien
Dylan FergusonPalm Springs (SEA)G251998-09-20No194 Lbs6 ft1NoNoNoNo4Pro & Farm1,200,000$963,090$1,200,000$963,090$0$0$No1,200,000$1,200,000$1,200,000$Lien
Filip HallanderPalm Springs (SEA)C232000-06-28 15:18:57Yes190 Lbs6 ft1NoNoNoNo3Pro & Farm900,000$722,318$900,000$722,318$0$0$No900,000$900,000$
Jack FinleyPalm Springs (SEA)C212002-09-02 10:13:11Yes213 Lbs6 ft6NoNoNoNo4Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$775,000$
Jake LucchiniPalm Springs (SEA)C/LW281995-05-09No195 Lbs5 ft11NoNoNoNo2Pro & Farm833,000$668,545$833,000$668,545$0$0$No833,000$Lien
Julien Gauthier Palm Springs (SEA)C/LW/RW261997-10-15 15:16:04No224 Lbs6 ft4NoNoNoNo4Pro & Farm775,000$621,996$775,000$621,996$0$0$No775,000$775,000$775,000$
Kole LindPalm Springs (SEA)RW251998-10-16No178 Lbs6 ft1NoNoNoNo2Pro & Farm900,000$722,318$900,000$722,318$0$0$No900,000$
Kristian ReichelPalm Springs (SEA)C/RW251998-06-11No192 Lbs6 ft1NoNoNoNo2Pro & Farm900,000$722,318$900,000$722,318$0$0$No900,000$Lien
Kurtis MacDermidPalm Springs (SEA)D291994-03-25No233 Lbs6 ft5NoNoNoNo1Pro & Farm1,800,000$1,444,635$1,800,000$1,444,635$0$0$NoLien
Mason Appleton Palm Springs (SEA)C/LW/RW271996-01-15 02:18:36No193 Lbs6 ft3NoNoNoNo3Pro & Farm1,200,000$963,090$1,200,000$963,090$0$0$No1,200,000$1,200,000$Lien
Matthew KniesPalm Springs (SEA)C/LW/RW212002-10-17 11:51:19Yes210 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$742,382$925,000$742,382$0$0$No925,000$925,000$
Michael McNivenPalm Springs (SEA)G261997-07-09No214 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$NoLien
Nate SchnarrPalm Springs (SEA)C241999-02-25No180 Lbs6 ft3NoNoNoNo2Pro & Farm1,000,000$802,575$1,000,000$802,575$0$0$No1,000,000$Lien
Nick SeelerPalm Springs (SEA)D301993-06-03No201 Lbs6 ft1NoNoNoNo2Pro & Farm950,000$762,446$950,000$762,446$0$0$No950,000$Lien
Riley BarberPalm Springs (SEA)RW291994-02-07No199 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$601,931$750,000$601,931$0$0$No750,000$Lien / Lien NHL
Ryan WintertonPalm Springs (SEA)C/RW202003-09-04 01:07:32Yes190 Lbs6 ft2NoNoNoNo3Pro & Farm828,333$664,799$828,333$664,799$0$0$No828,333$828,333$Lien
Taro HirosePalm Springs (SEA)C/LW271996-06-30No162 Lbs5 ft10NoNoNoNo4Pro & Farm850,000$682,189$850,000$682,189$0$0$No850,000$850,000$850,000$Lien
Tyler BensonPalm Springs (SEA)LW/RW251998-03-15 02:21:58Yes190 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$601,931$750,000$601,931$0$0$No
Vincent SevignyPalm Springs (SEA)D222001-04-14 03:09:34Yes174 Lbs6 ft3NoNoNoNo4Pro & Farm800,000$642,060$800,000$642,060$0$0$No800,000$800,000$800,000$
Wyatt NewpowerPalm Springs (SEA)D261997-08-09 09:44:56Yes205 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$601,931$750,000$601,931$0$0$No750,000$
Xavier BourgaultPalm Springs (SEA)C212002-10-22 08:28:47No172 Lbs6 ft0NoNoNoNo2Pro & Farm925,000$742,382$925,000$742,382$0$0$No925,000$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2825.11195 Lbs6 ft22.50881,048$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesJulien Gauthier Jake Lucchini30122
2Andrew PoturalskiMason Appleton Riley Barber30122
3Aliaksei ProtasFilip HallanderKristian Reichel20122
4Cameron Hughes Riley BarberBryce Kindopp20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerKurtis MacDermid30122
2Wyatt NewpowerDennis Cholowski 30122
3Dylan BlujusVincent Sevigny20122
4Dennis Cholowski Dylan Blujus20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Matthew KniesJulien Gauthier Jake Lucchini60122
2Kristian ReichelAndrew PoturalskiRiley Barber40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerDennis Cholowski 60122
2Vincent SevignyDylan Blujus40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Kristian ReichelJulien Gauthier 60122
2Jake LucchiniRiley Barber40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kurtis MacDermidVincent Sevigny60122
2Dylan BlujusWyatt Newpower40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Barber60122Dylan BlujusKurtis MacDermid60122
2Kristian Reichel40122Dennis Cholowski Vincent Sevigny40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kristian ReichelJake Lucchini60122
2Matthew KniesRiley Barber40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dylan BlujusNick Seeler60122
2Vincent SevignyDennis Cholowski 40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesJulien Gauthier Jake LucchiniNick SeelerKurtis MacDermid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Matthew KniesJulien Gauthier Jake LucchiniNick SeelerKurtis MacDermid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Riley Barber, Jake Lucchini, Kristian ReichelKristian Reichel, Riley BarberKristian Reichel
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Wyatt Newpower, Dylan Blujus, Vincent SevignyDylan BlujusDylan Blujus, Vincent Sevigny
Tirs de pénalité
Andrew Poturalski, Kristian Reichel, Jake Lucchini, Riley Barber, Filip Hallander
Gardien
#1 : Dylan Ferguson, #2 : Devin Cooley
Lignes d’attaque personnalisées en prolongation
Andrew Poturalski, Jake Lucchini, Filip Hallander, Riley Barber, Mason Appleton , Kristian Reichel, Kristian Reichel, Aliaksei Protas, Cameron Hughes , Julien Gauthier , Bryce Kindopp
Lignes de défense personnalisées en prolongation
Vincent Sevigny, Nick Seeler, Kurtis MacDermid, Dennis Cholowski , Dylan Blujus


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
1Bakersfield Condors2010000158-31000000123-11010000035-210.25058130071618656117176131307319838200.00%4175.00%015529153.26%15430151.16%9218948.68%274150269127255120
2Chicago Wolves22000000734220000007340000000000041.00071320007161864511717613130482416408337.50%8187.50%015529153.26%15430151.16%9218948.68%274150269127255120
3Ontario Reign311010001284211000006331000100065140.66712223400716186118117176131301143614514125.00%7185.71%015529153.26%15430151.16%9218948.68%274150269127255120
4San Antonio Rampage2010001045-1000000000002010001045-120.500459007161868311717613130501210442150.00%50100.00%015529153.26%15430151.16%9218948.68%274150269127255120
5Texas Stars32100000131032200000010551010000035-240.6671319320071618610711717613130983037567228.57%14750.00%115529153.26%15430151.16%9218948.68%274150269127255120
6Tucson Roadrunners10000010321100000103210000000000021.0003360071618632117176131303517827100.00%4175.00%015529153.26%15430151.16%9218948.68%274150269127255120
Total1354010214436885100011281612503010101620-4170.654447011400716186441117176131304181389325624729.17%421173.81%115529153.26%15430151.16%9218948.68%274150269127255120
_Since Last GM Reset1354010214436885100011281612503010101620-4170.654447011400716186441117176131304181389325624729.17%421173.81%115529153.26%15430151.16%9218948.68%274150269127255120
_Vs Conference1354010214436885100011281612503010101620-4170.654447011400716186441117176131304181389325624729.17%421173.81%115529153.26%15430151.16%9218948.68%274150269127255120
_Vs Division754010212419555100011159620301010910-1171.2142443670071618621911717613130235793812914428.57%19384.21%015529153.26%15430151.16%9218948.68%274150269127255120

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1317W244701144414181389325600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
135410214436
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85100112816
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
50310101620
Derniers 10 matchs
WLOTWOTL SOWSOL
720001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
24729.17%421173.81%1
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
11717613130716186
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
15529153.26%15430151.16%9218948.68%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
274150269127255120


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
4 - 2023-10-0417Palm Springs 2San Antonio Rampage4ALSommaire du match
6 - 2023-10-0628Texas Stars4Palm Springs 6BWSommaire du match
8 - 2023-10-0843Palm Springs 3Texas Stars5ALSommaire du match
10 - 2023-10-1053Texas Stars1Palm Springs 4BWSommaire du match
14 - 2023-10-1475Chicago Wolves1Palm Springs 3BWSommaire du match
19 - 2023-10-1998Palm Springs 2San Antonio Rampage1AWXXSommaire du match
22 - 2023-10-22114Ontario Reign2Palm Springs 1BLSommaire du match
25 - 2023-10-25134Palm Springs 6Ontario Reign5AWXSommaire du match
28 - 2023-10-28145Bakersfield Condors3Palm Springs 2BLXXSommaire du match
31 - 2023-10-31167Tucson Roadrunners2Palm Springs 3BWXXSommaire du match
33 - 2023-11-02181Palm Springs 3Bakersfield Condors5ALSommaire du match
36 - 2023-11-05197Ontario Reign1Palm Springs 5BWSommaire du match
44 - 2023-11-13230Chicago Wolves2Palm Springs 4BWSommaire du match
48 - 2023-11-17252Palm Springs -Chicago Wolves-
50 - 2023-11-19260Hartford Wolf Pack-Palm Springs -
53 - 2023-11-22276Palm Springs -Tulsa Oilers -
55 - 2023-11-24284Palm Springs -Ontario Reign-
58 - 2023-11-27297Lehigh Valley Phantoms-Palm Springs -
64 - 2023-12-03328Belleville Senators-Palm Springs -
66 - 2023-12-05338Palm Springs -Chicago Wolves-
70 - 2023-12-09360Tulsa Oilers -Palm Springs -
74 - 2023-12-13385Palm Springs -Milwaukee Admirals-
75 - 2023-12-14392Texas Stars-Palm Springs -
79 - 2023-12-18418Grand Rapids Griffins-Palm Springs -
81 - 2023-12-20432Palm Springs -Rockford IceHogs-
84 - 2023-12-23451Providence Bruins -Palm Springs -
88 - 2023-12-27470Palm Springs -San Diego Gulls-
90 - 2023-12-29482Ontario Reign-Palm Springs -
98 - 2024-01-06513Texas Stars-Palm Springs -
105 - 2024-01-13545Charlotte Checkers-Palm Springs -
107 - 2024-01-15559Palm Springs -Bakersfield Condors-
110 - 2024-01-18575Palm Springs -Rochester Americans -
111 - 2024-01-19579Binghamton Devils-Palm Springs -
114 - 2024-01-22596Palm Springs -Springfield Thunderbirds-
116 - 2024-01-24609Bakersfield Condors-Palm Springs -
121 - 2024-01-29641Chicago Wolves-Palm Springs -
123 - 2024-01-31650Palm Springs -San Antonio Rampage-
125 - 2024-02-02661Palm Springs -Belleville Senators-
127 - 2024-02-04673Cleveland Monsters-Palm Springs -
132 - 2024-02-09702Palm Springs -Bridgeport Sound Tigers-
133 - 2024-02-10705Tucson Roadrunners-Palm Springs -
139 - 2024-02-16737Iowa Wild-Palm Springs -
141 - 2024-02-18753Palm Springs -Cleveland Monsters-
144 - 2024-02-21769Rockford IceHogs-Palm Springs -
151 - 2024-02-28801San Antonio Rampage-Palm Springs -
153 - 2024-03-01817Palm Springs -Hartford Wolf Pack-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157 - 2024-03-05831Palm Springs -Wilkes-Barre/Scranton Penguins -
158 - 2024-03-06834Stockton Heat-Palm Springs -
161 - 2024-03-09859Palm Springs -Toronto Marlies-
162 - 2024-03-10864Syracuse Crunch-Palm Springs -
165 - 2024-03-13871Palm Springs -Stockton Heat-
167 - 2024-03-15882Palm Springs -San Jose Barracuda-
170 - 2024-03-18898Stockton Heat-Palm Springs -
173 - 2024-03-21913Palm Springs -San Jose Barracuda-
176 - 2024-03-24929San Antonio Rampage-Palm Springs -
180 - 2024-03-28944Palm Springs -Charlotte Checkers-
183 - 2024-03-31961Manitoba Moose-Palm Springs -
185 - 2024-04-02973Palm Springs -Grand Rapids Griffins-
189 - 2024-04-06993Milwaukee Admirals-Palm Springs -
192 - 2024-04-091004Palm Springs -Tucson Roadrunners-
194 - 2024-04-111018Palm Springs -Texas Stars-
196 - 2024-04-131026Palm Springs -Manitoba Moose-
197 - 2024-04-141031San Jose Barracuda-Palm Springs -
200 - 2024-04-171046Palm Springs -Texas Stars-
202 - 2024-04-191051Palm Springs -Utica Comets -
204 - 2024-04-211065San Jose Barracuda-Palm Springs -
206 - 2024-04-231080Palm Springs -San Diego Gulls-
208 - 2024-04-251092Palm Springs -Iowa Wild-
210 - 2024-04-271101San Diego Gulls-Palm Springs -
213 - 2024-04-301114Palm Springs -Stockton Heat-
215 - 2024-05-021131Palm Springs -Tucson Roadrunners-
218 - 2024-05-051144Milwaukee Admirals-Palm Springs -
223 - 2024-05-101169Rochester Americans -Palm Springs -
226 - 2024-05-131186San Diego Gulls-Palm Springs -
227 - 2024-05-141191Palm Springs -Laval Rocket-
230 - 2024-05-171204Palm Springs -Hershey Bears-



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
30 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
496,437$ 2,466,933$ 2,466,933$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,588$ 466,837$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 11,231$ 2,100,197$




Palm Springs Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Palm Springs Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Palm Springs Statistiques de l'Équipe de Carrière

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

Palm Springs Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Palm Springs Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA