Version obsolète du STHS! Veuillez mettre à jour votre version!
Connexion

San Diego
GP: 5 | W: 1 | L: 4
GF: 17 | GA: 21 | PP%: 0.00% | PK%: 90.48%
DG: Michael Chouinard | Morale : 50 | Moyenne d’équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Ontario
8-6-0, 16pts
7
FINAL
5 San Diego
1-4-0, 2pts
Team Stats
L4StreakL2
6-2-0Home Record1-1-0
2-4-0Away Record0-3-0
5-5-0Last 10 Games1-4-0
3.14Buts par match 3.40
3.29Buts contre par match 4.20
13.24%Pourcentage en avantage numérique0.00%
89.29%Pourcentage en désavantage numérique90.48%
San Diego
1-4-0, 2pts
2
FINAL
4 Ontario
8-6-0, 16pts
Team Stats
L2StreakL4
1-1-0Home Record6-2-0
0-3-0Away Record2-4-0
1-4-0Last 10 Games5-5-0
3.40Buts par match 3.14
4.20Buts contre par match 3.29
0.00%Pourcentage en avantage numérique13.24%
90.48%Pourcentage en désavantage numérique89.29%
Meneurs d'équipe
Buts
Luke Adam
2
Passes
Luke Adam
5
Points
Luke Adam
7
Plus/Moins
Jordan Weal
3
Victoires
Casey DeSmith
1
Pourcentage d’arrêts
Justin Pogge
0.906

Statistiques d’équipe
Buts pour
17
3.40 GFG
Tirs pour
174
34.80 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
39.0%
Buts contre
21
4.20 GAA
Tirs contre
178
35.60 Avg
Pourcentage en désavantage numérique
90.5%%
2 GA
Début de la zone défensive
43.0%
Informations de l'équipe

Directeur généralMichael Chouinard
EntraîneurScott Arniel
DivisionPacifique
ConférenceConference ouest
CapitaineMike Green
Assistant #1
Assistant #2Trevor Daley


Informations de l’aréna

Capacité3,000
Assistance2,606
Billets de saison300


Informations de la formation

Équipe Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs51


Historique d'équipe

Saison actuelle1-4
Historique49-29-8 (0.570%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)1-4
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 moyen
1Max Veronneau (R)X100.00632797768870816471646663764748565000251500,000$
2Luke AdamXX100.00633193627577916680666566735546375000312750,000$
3Nick SpalingXX100.006437916674798872837274717665532850003211,170,000$
4Marc-Antoine PouliotXX100.00661996547366836574636564798276195000362550,000$
5Matt FrattinXX100.00572392707871766355606457846664205000331550,000$
6Sam CarrickXX100.008940857785758071856874707562623950002931,170,000$
7Richard PanikXX100.007236897076768574747273677363614650003031,170,000$
8Sam LaffertyXXX100.00883581797981847089687177774951635000262775,000$
9Kris VersteegXX100.00572694676973806970677161797169325000352957,000$
10James NealXX100.008336836576848172706972648077674950003321,160,000$
11Jordan WealXXX100.006827897474798576887472657858555050002931,000,000$
12Joakim NygardX100.00712593777775816670666864755959465000281700,000$
13Andrew MacDonaldX100.00612683607677875250464484767471125000341550,000$
14Mike Green (C)X100.006627796773848364505857867980752350003521,170,000$
15Mikko LehtonenX100.00832591807882805950524286755454575000272750,000$
16Christian WolaninX100.00762581758881854250404184754948595000263750,000$
17Nick SeelerX100.00734763729175924850485185765552565000281750,000$
18Igor OzhiganovX100.00733377739478855050505288715551605000281700,000$
19Trevor Daley (A)X100.006031875871768755505652896874851650003711,040,000$
Rayé
MOYENNE D’ÉQUIPE100.0070308770797784636661627376636040500
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
1Justin Pogge100.0061878691799796989984788382225000351956,000$
2Casey DeSmith100.0074838689839495959791836262605000292900,000$
Rayé
MOYENNE D’ÉQUIPE100.006885869081969697988881737241500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Arniel73798080959263CAN592500,000$


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
1Luke AdamSan Diego (ANA)C/LW52572204651640.00%17715.43000001011170059.76%8200001.8100000100
2Jordan WealSan Diego (ANA)C/LW/RW5246300161231516.67%110020.000003120000171062.50%800001.2000000000
3Max VeronneauSan Diego (ANA)RW52351004292922.22%05611.2500000000000033.33%600001.7800000010
4Sam CarrickSan Diego (ANA)C/RW5235-300129227169.09%110521.120003120110180058.33%4800000.9500000100
5Trevor DaleySan Diego (ANA)D51340002851720.00%812024.07000113000018000.00%000000.6600000000
6Mike GreenSan Diego (ANA)D51231406312488.33%410721.59000513011018000.00%000000.5600000001
7Igor OzhiganovSan Diego (ANA)D5033-160744150.00%69418.88000213000112000.00%000000.6400000000
8Nick SpalingSan Diego (ANA)C/LW5112-42021195911.11%210420.850000120000160050.65%15400000.3800000001
9Sam LaffertySan Diego (ANA)C/LW/RW52020401272031310.00%08416.93000214000000058.87%12400000.4700000000
10Nick SeelerSan Diego (ANA)D5022-320635120.00%87014.150000000000000.00%000000.5700000000
11Joakim NygardSan Diego (ANA)LW51121404715076.67%15911.8000010000010050.00%200000.6800000000
12Andrew MacDonaldSan Diego (ANA)D5011-200243330.00%108116.2700000000110000.00%000000.2500000000
13Marc-Antoine PouliotSan Diego (ANA)C/RW5011000151240.00%0346.9900000000010042.50%4000000.5700000000
14Richard PanikSan Diego (ANA)LW/RW5101-7001516396.25%08517.06000414000000070.00%1000000.2300000000
15Mikko LehtonenSan Diego (ANA)D510101405395011.11%810020.11000213000012010.00%000000.2000000000
16Christian WolaninSan Diego (ANA)D51011404230033.33%0244.880000000000000.00%000000.8200000000
17Kris VersteegSan Diego (ANA)LW/RW5011000215250.00%2336.76000000000000100.00%300000.5900000000
18James NealSan Diego (ANA)LW/RW501104065143110.00%08316.63000614000000057.14%700000.2400000000
19Matt FrattinSan Diego (ANA)LW/RW5000000105140.00%0336.760000000000000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne95173148-114608291174471339.77%52145715.340002913712331441155.17%48400000.6600000212
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
1Casey DeSmithSan Diego (ANA)41300.8724.3222200161250000.00%041000
2Justin PoggeSan Diego (ANA)20100.9063.9077005530000.00%014000
Statistiques d’équipe totales ou en moyenne61400.8824.203000021178000055000


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 Salaire 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
Andrew MacDonaldSan Diego (ANA)D341986-09-07No213 Lbs6 ft1NoNoNo1Pro & Farm550,000$0$0$NoLien
Casey DeSmithSan Diego (ANA)G291991-08-13 06:42:45No186 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Christian WolaninSan Diego (ANA)D261995-03-17No192 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
Igor OzhiganovSan Diego (ANA)D281992-10-13No212 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$NoLien
James NealSan Diego (ANA)LW/RW331987-09-03No226 Lbs6 ft2NoNoNo2Pro & Farm1,160,000$0$0$No1,160,000$Lien
Joakim NygardSan Diego (ANA)LW281993-01-08No180 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien
Jordan WealSan Diego (ANA)C/LW/RW291992-04-15No181 Lbs5 ft10NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$Lien
Justin PoggeSan Diego (ANA)G351986-04-22 23:37:02No225 Lbs6 ft3NoNoNo1Pro & Farm956,000$0$0$No
Kris VersteegSan Diego (ANA)LW/RW351986-05-13No179 Lbs5 ft11NoNoNo2Pro & Farm957,000$0$0$No957,000$Lien
Luke AdamSan Diego (ANA)C/LW311990-01-01No216 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Marc-Antoine PouliotSan Diego (ANA)C/RW361985-01-10No211 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No550,000$
Matt FrattinSan Diego (ANA)LW/RW331988-01-03No207 Lbs6 ft0NoNoNo1Pro & Farm550,000$0$0$NoLien
Max VeronneauSan Diego (ANA)RW251995-12-12Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLien
Mike GreenSan Diego (ANA)D351985-10-12No211 Lbs6 ft1NoNoNo2Pro & Farm1,170,000$0$0$No1,170,000$Lien
Mikko LehtonenSan Diego (ANA)D271994-01-16 06:34:35No196 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Nick SeelerSan Diego (ANA)D281993-06-03No199 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien
Nick SpalingSan Diego (ANA)C/LW321988-09-19No214 Lbs6 ft1NoNoNo1Pro & Farm1,170,000$0$0$NoLien
Richard PanikSan Diego (ANA)LW/RW301991-02-07No212 Lbs6 ft1NoNoNo3Pro & Farm1,170,000$0$0$No1,170,000$1,170,000$Lien
Sam CarrickSan Diego (ANA)C/RW291992-02-04 12:28:46No205 Lbs6 ft0NoNoNo3Pro & Farm1,170,000$0$0$No1,170,000$1,170,000$Lien
Sam LaffertySan Diego (ANA)C/LW/RW261995-03-06No198 Lbs6 ft1NoNoNo2Pro & Farm775,000$0$0$No775,000$Lien
Trevor DaleySan Diego (ANA)D371983-10-09No199 Lbs5 ft11NoNoNo1Pro & Farm1,040,000$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2130.76203 Lbs6 ft11.76858,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Richard PanikNick SpalingSam Carrick33032
2Jordan WealSam LaffertyJames Neal30032
3Joakim NygardLuke AdamMax Veronneau24041
4Kris VersteegMarc-Antoine PouliotMatt Frattin13041
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor OzhiganovTrevor Daley33023
2Mike GreenMikko Lehtonen30023
3Nick SeelerAndrew MacDonald24023
4Trevor DaleyChristian Wolanin13050
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jordan WealNick SpalingSam Carrick50005
2Richard PanikSam LaffertyJames Neal50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor OzhiganovTrevor Daley50005
2Mike GreenMikko Lehtonen50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Nick SpalingJordan Weal50050
2Sam CarrickLuke Adam50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Igor OzhiganovTrevor Daley50050
2Mikko LehtonenMike Green50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Carrick50050Igor OzhiganovTrevor Daley50050
2Nick Spaling50050Nick SeelerMike Green50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Luke AdamJoakim Nygard50014
2Sam CarrickSam Lafferty50014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nick SeelerIgor Ozhiganov50014
2Christian WolaninAndrew MacDonald50014
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan WealNick SpalingJames NealMike GreenTrevor Daley
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jordan WealNick SpalingSam LaffertyMikko LehtonenTrevor Daley
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joakim Nygard, Nick Spaling, Richard PanikJoakim Nygard, Max VeronneauJordan Weal
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Daley, Igor Ozhiganov, Mike GreenNick SeelerTrevor Daley, Andrew MacDonald
Tirs de pénalité
Nick Spaling, James Neal, Mike Green, Kris Versteeg, Marc-Antoine Pouliot
Gardien
#1 : Casey DeSmith, #2 : Justin Pogge


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
1Ontario514000001721-421100000119230300000612-620.20017314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
Total514000001721-421100000119230300000612-620.20017314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
_Since Last GM Reset514000001721-421100000119230300000612-620.20017314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
_Vs Conference514000001721-421100000119230300000612-620.20017314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
_Vs Division514000001721-421100000119230300000612-620.20017314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L217314817417852468200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001721
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2110000119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000612
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1600.00%21290.48%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
48567005840
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
10418955.03%10920852.40%548762.07%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11277122386432


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
2 - 2022-11-258San Diego3Ontario4ALSommaire du match
4 - 2022-11-2616San Diego1Ontario4ALSommaire du match
6 - 2022-11-2724Ontario2San Diego6BWSommaire du match
8 - 2022-11-2832Ontario7San Diego5BLSommaire du match
10 - 2022-11-2940San Diego2Ontario4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5030
Assistance3,4741,737
Assistance PCT86.85%86.85%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2606 - 86.85% 152,422$304,844$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,801,800$ 1,801,800$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




San Diego Leaders statistiques (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
1Richard Panik823456902220588929711.45%11142217.351322356700006148.6501.2700
2Nick Spaling8035458027212217829311.95%14161420.181015257311257151.8800.9903
3Sam Carrick82393978148920912929513.22%19169020.62712195611296151.7400.9200
4Sam Lafferty72314374213815417928111.03%11143819.98915247410144355.5701.0300
5Jordan Weal712644701482010325110.36%6141119.88513185000055355.7800.9901

San Diego 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
1Casey DeSmith54311920.9132.9031628215317540210.80010
2Justin Pogge2616720.9132.83148501708020200.6679

San Diego 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
Saison régulière
2082422905123303244594124130111116011743411816040121431271610230353784014106949683021993926106853274073070013723187724.21%2974883.84%41750332652.62%1560306750.86%729139852.15%1991136118796081083549
Total Saison régulière82422905123303244594124130111116011743411816040121431271610230353784014106949683021993926106853274073070013723187724.21%2974883.84%41750332652.62%1560306750.86%729139852.15%1991136118796081083549
Séries éliminatoires
20514000001721-421100000119230300000612-6217314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432
Total Séries éliminatoires514000001721-421100000119230300000612-6217314800584017448567001785246821600.00%21290.48%110418955.03%10920852.40%548762.07%11277122386432

San Diego Leaders statistiques (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
1Luke Adam52572246540.00%17715.43000010110059.7601.8100
2Jordan Weal524630161216.67%110020.00000300001062.5001.2000
3Max Veronneau52351042922.22%05611.25000000000033.3301.7800
4Sam Carrick5235-30129229.09%110521.12000301100058.3300.9500
5Trevor Daley51340028520.00%812024.0700010000000.00%00.6600

San Diego 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
1Casey DeSmith41300.8724.3222200161250000.00%0
2Justin Pogge20100.9063.9077005530000.00%0