Association Québécoise de Hockey Simulé - Snowbirds 

Snowbirds

GP: 15 | W: 10 | L: 1 | OTL: 4 | P: 24
GF: 77 | GA: 64 | PP%: 39.13% | PK%: 57.58%
DG: Matthew Gagne | Morale : 90 | Moyenne d'Équipe : 59
Prochain matchs #253 vs Marlies
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Quinton Byfield (R)X100.00684580808670646277695565698071090670
2Dylan Holloway (R)X100.00834881776950625230505555678168090580
3Filip Hallander (R)X100.00504595776350404530405079508269090560
4Jackson CatesX100.00504595776150404530405061508572090540
5Connor McMichael (R)X100.00504888785650404530405061508269090530
6Jonathan Dahlen (R)X100.00504595785450404530405055508673090530
7Dominic Turgeon (R)X100.00504595766850404530405055508774090530
8Bobby Brink (R)X100.00504595804150404530405055508269090520
9Luke Hughes (R)X100.00504595795768405030445655657969090580
10Jeremy Davies (R)X100.00504592784950404530405059508673090560
11Wyatt KalynukX100.00504595785350404530405055508673090560
12Reilly Walsh (R)X100.00504595785350404530405055508471090560
Rayé
1Shane PintoX100.00654589837280996382557063708275090690
2Wyatt JohnstonX100.00514588876077996673577463717971090690
3Cam YorkX100.00644586884682656130675575688276090680
4Alex VlasicX100.00514595767282404730445080508175090640
MOYENNE D'ÉQUIPE100.0055459179606052503947546257837209059
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy65656565927456CAN5822,500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Shane PintoSnowbirds (MIA)C14131427320383177253116.88%1331422.463698260003213063.57%2911611011.7222000321
2Wyatt JohnstonSnowbirds (MIA)C121214263100203848253425.00%828223.562574271012120162.74%263187011.8402000211
3Dylan HollowaySnowbirds (MIA)LW1388160100251752213215.38%426920.744151228000172147.37%191710011.1911000110
4Quinton ByfieldSnowbirds (MIA)C158715260251832152425.00%1122414.97022120000101067.11%152610011.3402000201
5Cam YorkSnowbirds (MIA)D1221315-38018224223194.76%2331726.45167930011016010.00%01617000.9501000000
6Jonathan DahlenSnowbirds (MIA)RW13691560014173122419.35%621716.71235721000001054.55%1194001.3800000111
7Marc McLaughlinMiami HeatLW1159147001612355914.29%619517.79123321000011033.33%946001.4300000012
8Bobby BrinkSnowbirds (MIA)RW157512700121737102418.92%522815.2210117000151147.06%17811001.0500000010
9Jackson CatesSnowbirds (MIA)C1535840053115927.27%81379.1611216000031031.25%1612001.1600000011
10Alex VlasicSnowbirds (MIA)D122680401113149314.29%2431226.03213632011014010.00%0315000.5100000000
11Dominic TurgeonSnowbirds (MIA)RW1344802014151331530.77%825719.81022228000000069.23%1347000.6200000001
12Luke HughesSnowbirds (MIA)D100776207811160.00%918618.6301121600008000.00%045000.7501000001
13Filip HallanderSnowbirds (MIA)C15426-200172333151512.12%426617.7710113000050046.67%9039000.4501000000
14Reilly WalshSnowbirds (MIA)D1505562041011170.00%2028819.26011124000018000.00%0211000.3500000000
15Wyatt KalynukSnowbirds (MIA)D15044420698450.00%824116.080000600007000.00%029000.3300000000
16Jeremy DaviesSnowbirds (MIA)D15022500677430.00%820513.690000200005000.00%1212000.1900000000
17Jack DruryMiami HeatC2011-300257260.00%03819.0200000000020050.00%1812000.5300000000
18Connor McMichaelSnowbirds (MIA)C6000-100101010.00%2355.8900005000010075.00%400000.0000000000
19Oliver KylingtonMiami HeatD2000-100140010.00%02713.730000100000000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne225741151894348024226947017026815.74%167404617.9918314958293123714310560.40%904116149040.93310000989
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
1Connor IngramMiami Heat86020.8883.704862030269136000.333380000
2Michael HouserMiami Heat20010.8574.5040003219000.000002000
3Landon BowMiami Heat20100.7618.258000114617000.000026000
Stats d'équipe Total ou en Moyenne126130.8694.356072044336162000.3333108000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex VlasicSnowbirds (MIA)D222001-06-05No199 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Bobby BrinkSnowbirds (MIA)RW222001-07-08Yes166 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Cam YorkSnowbirds (MIA)D222001-01-05No175 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm3,000,000$0$0$No
Connor McMichaelSnowbirds (MIA)C222001-01-15Yes180 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm2,000,000$0$0$No
Dominic TurgeonSnowbirds (MIA)RW261996-10-12Yes196 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm1,000,000$0$0$No
Dylan HollowaySnowbirds (MIA)LW222001-09-23Yes203 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Filip HallanderSnowbirds (MIA)C232000-06-29Yes190 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Jackson CatesSnowbirds (MIA)C261997-09-26No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Jeremy DaviesSnowbirds (MIA)D261996-12-04Yes180 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm750,000$0$0$No
Jonathan DahlenSnowbirds (MIA)RW251997-12-20Yes180 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm4,000,000$0$0$No
Luke HughesSnowbirds (MIA)D202003-09-09Yes184 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Quinton ByfieldSnowbirds (MIA)C212002-08-19Yes220 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm3,000,000$0$0$No
Reilly WalshSnowbirds (MIA)D241999-04-21Yes185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm850,000$0$0$No
Shane PintoSnowbirds (MIA)C222000-11-12No201 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm2,500,000$0$0$No
Wyatt JohnstonSnowbirds (MIA)C202003-05-14No185 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm1,200,000$0$0$No
Wyatt KalynukSnowbirds (MIA)D261997-04-14No180 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1623.06188 Lbs6 ft12.441,550,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan HollowayDominic Turgeon35122
2Filip HallanderJonathan Dahlen30122
3Jackson CatesQuinton ByfieldBobby Brink25122
4Filip Hallander10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
135122
2Luke HughesReilly Walsh30122
3Wyatt KalynukJeremy Davies25122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Dylan HollowayDominic Turgeon55122
2Filip HallanderJonathan Dahlen45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Luke HughesReilly Walsh45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
155122
2Quinton ByfieldDylan Holloway45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Luke HughesReilly Walsh45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
15512255122
245122Luke HughesReilly Walsh45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
155122
2Quinton ByfieldDylan Holloway45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
155122
2Luke HughesReilly Walsh45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan HollowayDominic Turgeon
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan HollowayDominic Turgeon
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Connor McMichael, Jackson Cates, Bobby BrinkConnor McMichael, Jackson CatesBobby Brink
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Wyatt Kalynuk, Jeremy Davies, Luke HughesWyatt KalynukJeremy Davies, Luke Hughes
Tirs de Pénalité
, , Quinton Byfield, Dylan Holloway, Filip Hallander
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
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Chiwawa2000000279-21000000134-11000000145-120.50071219001823363571411462091285396409222.22%30100.00%020531664.87%21936160.66%15428055.00%302166323136285146
2Raptors2200000016106110000008531100000085341.000162541001823363851411462091275208308675.00%4250.00%020531664.87%21936160.66%15428055.00%302166323136285146
3Saguenéens22000000752110000003211100000043141.00071219001823363541411462091285358317228.57%4175.00%020531664.87%21936160.66%15428055.00%302166323136285146
4Scorpions220000001275110000005321100000074341.0001219310018233636814114620912722312383133.33%6433.33%020531664.87%21936160.66%15428055.00%302166323136285146
5Supreme20100100914-51010000037-41000010067-110.25091625001823363801411462091267231240600.00%6350.00%120531664.87%21936160.66%15428055.00%302166323136285146
6Thugs2200000015961100000010551100000054141.000152641001823363551411462091262188397571.43%4325.00%020531664.87%21936160.66%15428055.00%302166323136285146
Total151010020277641385100101383267500010139327240.800771302070018233634981411462091254618366267461839.13%331457.58%120531664.87%21936160.66%15428055.00%302166323136285146
8Vandals1000010012-11000010012-10000000000010.500123001823363321411462091221112234125.00%10100.00%020531664.87%21936160.66%15428055.00%302166323136285146
9Vipers11000000541000000000001100000054121.00058130018233633114114620912417414100.00%20100.00%020531664.87%21936160.66%15428055.00%302166323136285146
10Xpress11000000541110000005410000000000021.00051015001823363361411462091238761211100.00%3166.67%020531664.87%21936160.66%15428055.00%302166323136285146
_Since Last GM Reset151010020277641385100101383267500010139327240.800771302070018233634981411462091254618366267461839.13%331457.58%120531664.87%21936160.66%15428055.00%302166323136285146
_Vs Conference14910020272601274100101332857500010139327220.786721201920018233634621411462091250817660255451737.78%301356.67%120531664.87%21936160.66%15428055.00%302166323136285146
_Vs Division12810010266541264100001322666400010134286190.792661101760018233633991411462091244615854218401640.00%271351.85%120531664.87%21936160.66%15428055.00%302166323136285146

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1524W4771302074985461836626700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
1510102027764
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85101013832
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
75001013932
Derniers 10 Matchs
WLOTWOTL SOWSOL
800002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
461839.13%331457.58%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
141146209121823363
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
20531664.87%21936160.66%15428055.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
302166323136285146


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2024-04-0716Snowbirds6Supreme7LXSommaire du Match
3 - 2024-04-0829Supreme7Snowbirds3LSommaire du Match
5 - 2024-04-1045Scorpions3Snowbirds5WSommaire du Match
7 - 2024-04-1266Vandals2Snowbirds1LXSommaire du Match
9 - 2024-04-1483Snowbirds5Thugs4WSommaire du Match
10 - 2024-04-1598Raptors5Snowbirds8WSommaire du Match
11 - 2024-04-16115Snowbirds5Vipers4WSommaire du Match
12 - 2024-04-17127Xpress4Snowbirds5WSommaire du Match
13 - 2024-04-18137Snowbirds8Raptors5WSommaire du Match
15 - 2024-04-20160Chiwawa4Snowbirds3LXXSommaire du Match
18 - 2024-04-23184Snowbirds4Chiwawa5LXXSommaire du Match
19 - 2024-04-24193Thugs5Snowbirds10WSommaire du Match
20 - 2024-04-25209Snowbirds4Saguenéens3WSommaire du Match
21 - 2024-04-26223Saguenéens2Snowbirds3WSommaire du Match
22 - 2024-04-27229Snowbirds7Scorpions4WSommaire du Match
24 - 2024-04-29253Marlies-Snowbirds-
26 - 2024-05-01276Snowbirds-Husky-
27 - 2024-05-02284Rockets-Snowbirds-
29 - 2024-05-04307Snowbirds-Rockets-
30 - 2024-05-05316Hunters-Snowbirds-
32 - 2024-05-07337Snowbirds-Vipers-
33 - 2024-05-08349Farmers-Snowbirds-
35 - 2024-05-10368Snowbirds-Barracudas-
36 - 2024-05-11380Raptors-Snowbirds-
38 - 2024-05-13401Snowbirds-Goons-
39 - 2024-05-14410Grizzlies-Snowbirds-
41 - 2024-05-16429Snowbirds-Grizzlies-
42 - 2024-05-17441Husky-Snowbirds-
44 - 2024-05-19466Vipers-Snowbirds-
46 - 2024-05-21485Snowbirds-Marmots-
47 - 2024-05-22497Vandals-Snowbirds-
48 - 2024-05-23517Snowbirds-Smirnoff Ice-
49 - 2024-05-24528Igloos-Snowbirds-
51 - 2024-05-26550Snowbirds-Igloos-
52 - 2024-05-27559Bayou-Snowbirds-
54 - 2024-05-29581Snowbirds-Scorpions-
55 - 2024-05-30590Chiwawa-Snowbirds-
57 - 2024-06-01605Snowbirds-Warriors-
58 - 2024-06-02617Snowbirds-Hunters-
59 - 2024-06-03627Spartans-Snowbirds-
61 - 2024-06-05651CoolFm-Snowbirds-
63 - 2024-06-07665Snowbirds-CoolFm-
64 - 2024-06-08683Bandits-Snowbirds-
66 - 2024-06-10699Snowbirds-TigersCats-
67 - 2024-06-11713TigersCats-Snowbirds-
69 - 2024-06-13733Snowbirds-Twins-
70 - 2024-06-14745Marmots-Snowbirds-
71 - 2024-06-15765Snowbirds-Chiwawa-
72 - 2024-06-16776Spartans-Snowbirds-
73 - 2024-06-17785Snowbirds-Farmers-
74 - 2024-06-18806Twins-Snowbirds-
76 - 2024-06-20828Snowbirds-Raptors-
77 - 2024-06-21838Barracudas-Snowbirds-
79 - 2024-06-23863Snowbirds-Bayou-
80 - 2024-06-24869Saguenéens-Snowbirds-
82 - 2024-06-26891Snowbirds-Xpress-
83 - 2024-06-27901Smirnoff Ice-Snowbirds-
84 - 2024-06-28911Snowbirds-Wolves-
85 - 2024-06-29923Snowbirds-Spartans-
87 - 2024-07-01936Scorpions-Snowbirds-
89 - 2024-07-03961Supreme-Snowbirds-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04977Snowbirds-Predateurs-
91 - 2024-07-05982Snowbirds-Bandits-
92 - 2024-07-06997Snowbirds-Saguenéens-
93 - 2024-07-071008Predateurs-Snowbirds-
95 - 2024-07-091028Outlaws-Snowbirds-
98 - 2024-07-121053Snowbirds-Thugs-
99 - 2024-07-131060Snowbirds-Supreme-
100 - 2024-07-141071Thugs-Snowbirds-
102 - 2024-07-161090Goons-Snowbirds-
104 - 2024-07-181106Snowbirds-Spartans-
105 - 2024-07-191119Snowbirds-Outlaws-
106 - 2024-07-201125Warriors-Snowbirds-
109 - 2024-07-231149Snowbirds-Vandals-
111 - 2024-07-251164Wolves-Snowbirds-
112 - 2024-07-261171Snowbirds-Marlies-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna30002000
Prix des Billets3515
Assistance23,89815,919
Assistance PCT99.58%99.49%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
30 4977 - 99.54% 161,282$1,290,258$5000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,105,955$ 2,480,000$ 2,480,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 597,103$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
4,838,468$ 90 44,071$ 3,966,390$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison Régulière
4582283801951265302-3741122001431138158-2041161800520127144-177826543169601441081078223150383488235237985550411912316226.84%1935670.98%6748156047.95%777153350.68%631132847.52%165899219556821352673
4682293705551301311-1041181603211154151341112102340147160-1384301477778123811813514232153779096850233776448811942556826.67%2006567.50%3907149260.79%822146156.26%758132657.16%1695101818936851379698
4715101002027764138510010138326750001013932724771302070018233634981411462091254618366267461839.13%331457.58%120531664.87%21936160.66%15428055.00%302166323136285146
Total Saison Régulière17967760616104643677-3490353704743330341-1189323902961313336-23186643103816811310024927825505011811770205997526218021058265253214827.82%42613568.31%101860336855.23%1818335554.19%1543293452.59%365621774172150430171519