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Blossom Bytes
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Gerd | Morale : 99 | Moyenne d’équipe : N/A

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralGerd
EntraîneurAdam Foote
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité8,000
Assistance
Billets de saison800


Informations de la formation

Équipe Pro31
Équipe Mineure16
Limite contact 47 / 65
Espoirs14


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Julien GauthierXX100.00785093788577737361677171655863086002822,325,000$
2Noel GunlerXX100.00606060606070706060606060604358080002411,312,500$
3Ilya ProtasXX100.0060606060607070606060606060425508700192975,000$
4Cameron AllenX100.0060606060607070606060606060405507201201825,000$
Rayé
1Alex GaffneyX100.0060606060607070606060606060485908700232700,000$
2John FarinacciXXX100.00735094707477886383656273654961080002400$
3Jens LookeXX100.00606060606070706060606060606370075002800$
4Martin ChromiakXX100.0060606060607070606060606060435808900231866,250$
5Ryder KorczakX100.00606060606070706060606060604358020002311,023,750$
6Jason PolinXX100.0060509367757583626162636765505908800261682,500$
7Nikita NesterenkoX100.0069508870747792696170697065415608500241682,500$
8Riley DuranXXX100.00735093626779896168616273654156080002300$
9Justin RobidasX100.00625094716678936471656367654156077002200$
10Vinzenz RohrerXXX100.00606060606070706060606060604156082002100$
11Hunter HaightXXX100.00606060606070706060606060604156086002100$
12Michael MilneXX100.00735088677075896261626371654156080002300$
13Nikita GrebenkinXX100.0065508769797588656165646965405508801221650,000$
14Dylan WendtXXX100.00606060606070706060606060604055020002400$
15Gracyn SawchynX100.00606060606070706060606060604655070002021,250,000$
16Lukas CormierX100.00606060606070706060606060605361079002300$
17Mack OliphantX100.0060606060607070606060606060465807200232650,000$
18Tyrel BauerX100.0060606060607070606060606060425707400231787,500$
19Sean BehrensX100.00606060606070706060606060604156080002200$
20Dylan AnhornX100.0060606060607070606060606060415608300261682,500$
21Connor KelleyX100.00606060606070706060606060604055085012300$
22Ty GallagherX100.0060606060607070606060606060485505500221750,000$
23Ty MurchisonX100.0060606060607070606060606060485508100221700,000$
MOYENNE D’ÉQUIPE100.006357696364727561626161636145570760
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
1Ales Stezka100.006070706060606060606060556606900284727,650$
2Isaiah Saville100.0060707060606060606060605059072002500$
3Hampton Slukynsky100.006070706060606060606060425508100202750,000$
4Harrison Meneghin100.006070706060606060606060465507200212650,000$
MOYENNE D’ÉQUIPE100.00607070606060606060606048590740
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Adam Foote8076687961661CAN552600,000$


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
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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Ales StezkaBlossom Bytes (SJS)G281997-01-06CZENo190 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm727,650$727,650$72,765$72,765$No727,650$727,650$727,650$------727,650$727,650$727,650$------NoNoNo------
Alex GaffneyBlossom Bytes (SJS)C232002-06-25USANo176 Lbs5 ft9NoNoAssign ManuallyNoNo22026-03-29FalseFalsePro & Farm700,000$700,000$70,000$70,000$No700,000$--------700,000$--------No--------
Cameron AllenBlossom Bytes (SJS)D202005-01-07CANNo194 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm825,000$825,000$82,500$82,500$No---------------------------
Connor KelleyBlossom Bytes (SJS)D232002-01-30USANo201 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Dylan AnhornBlossom Bytes (SJS)D261999-01-21CANNo190 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$682,500$68,250$68,250$No---------------------------
Dylan WendtBlossom Bytes (SJS)C/LW/RW242001-01-09USANo185 Lbs6 ft1NoNoFree AgentNoNo02025-06-11FalseFalsePro & Farm0$0$No---------------------------
Gracyn SawchynBlossom Bytes (SJS)C202005-01-19CANNo154 Lbs5 ft10NoNoProspectNoNo22025-08-21FalseFalsePro & Farm1,250,000$1,250,000$125,000$125,000$No1,250,000$--------1,250,000$--------No--------
Hampton SlukynskyBlossom Bytes (SJS)G202005-07-02USANo190 Lbs5 ft11NoNoProspectNoNo22025-08-21FalseFalsePro & Farm750,000$750,000$75,000$75,000$No750,000$--------750,000$--------No--------
Harrison MeneghinBlossom Bytes (SJS)G212004-09-13CANNo174 Lbs6 ft2NoNoDraftNoNo22025-08-21FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------650,000$--------No--------
Hunter HaightBlossom Bytes (SJS)C/LW/RW212004-04-04CANNo180 Lbs6 ft7NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Ilya ProtasBlossom Bytes (SJS)C/LW192006-07-18BLRNo201 Lbs6 ft3NoNoDraftNoNo22025-08-21FalseFalsePro & Farm975,000$975,000$97,500$97,500$No975,000$--------975,000$--------No--------
Isaiah SavilleBlossom Bytes (SJS)G252000-09-21USANo196 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Jason PolinBlossom Bytes (SJS)LW/RW261999-06-17USANo198 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$682,500$68,250$68,250$No---------------------------
Jens LookeBlossom Bytes (SJS)LW/RW281997-04-11SWENo185 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
John FarinacciBlossom Bytes (SJS)C/LW/RW242001-02-14USANo197 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Julien Gauthier (contrat à 1 volet)Blossom Bytes (SJS)LW/RW281997-10-15CANNo226 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm2,325,000$2,325,000$2,325,000$2,325,000$No2,325,000$--------2,325,000$--------No--------
Justin RobidasBlossom Bytes (SJS)C222003-03-13USANo176 Lbs5 ft8NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Lukas CormierBlossom Bytes (SJS)D232002-03-27CANNo185 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Mack OliphantBlossom Bytes (SJS)D232002-12-28USANo205 Lbs6 ft1NoNoAssign ManuallyNoNo22026-03-29FalseFalsePro & Farm650,000$650,000$65,000$65,000$No650,000$--------650,000$--------No--------
Martin ChromiakBlossom Bytes (SJS)LW/RW232002-08-20SVKNo190 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm866,250$866,250$86,625$86,625$No---------------------------
Michael MilneBlossom Bytes (SJS)LW/RW232002-09-21CANNo185 Lbs5 ft11NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Nikita GrebenkinBlossom Bytes (SJS)LW/RW222003-05-02RUSNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$650,000$65,000$65,000$No---------------------------
Nikita NesterenkoBlossom Bytes (SJS)C242001-09-10USANo195 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$682,500$68,250$68,250$No---------------------------
Noel GunlerBlossom Bytes (SJS)LW/RW242001-10-07SWENo176 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,312,500$1,312,500$131,250$131,250$No---------------------------
Riley DuranBlossom Bytes (SJS)C/LW/RW232002-01-25USANo174 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Ryder KorczakBlossom Bytes (SJS)C232002-09-23CANNo172 Lbs5 ft11NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,023,750$1,023,750$102,375$102,375$No---------------------------
Sean BehrensBlossom Bytes (SJS)D222003-03-31USANo177 Lbs6 ft8NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Ty GallagherBlossom Bytes (SJS)D222003-03-06USANo196 Lbs5 ft10NoNoProspectNoNo12025-08-21FalseFalsePro & Farm750,000$750,000$75,000$75,000$No---------------------------
Ty MurchisonBlossom Bytes (SJS)D222003-02-02USANo205 Lbs6 ft0NoNoProspectNoNo12025-08-21FalseFalsePro & Farm700,000$700,000$70,000$70,000$No---------------------------
Tyrel BauerBlossom Bytes (SJS)D232002-05-23CANNo207 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm787,500$787,500$78,750$78,750$No---------------------------
Vinzenz RohrerBlossom Bytes (SJS)C/LW/RW212004-09-09AUTNo178 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.10189 Lbs6 ft10.94548,069$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noel Gunler28113
2Julien Gauthier28122
325122
4Ilya Protas19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
128122
2Cameron Allen28122
325122
4Cameron Allen19122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Julien Gauthier50014
250113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ilya Protas50131
2Julien Gauthier50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
2Cameron Allen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150122Cameron Allen50122
25012250122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150122
250122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
150122
250122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ilya ProtasJulien Gauthier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ilya Protas, , Ilya Protas, Noel Gunler
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Julien Gauthier, Noel Gunler, ,
Gardien
#1 : , #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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets4020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,466,515$ 1,466,515$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 18 0

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




Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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

Blossom Bytes 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