Connexion

Rampages
GP: 14 | W: 11 | L: 2 | OTL: 1 | P: 23
GF: 63 | GA: 43 | PP%: 29.55% | PK%: 82.61%
DG: Gabriel Lavoie | Morale : 68 | Moyenne d’équipe : 57
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Centre de jeu
wild
11-2-1, 23pts
4
FINAL
5 Rampages
11-2-1, 23pts
Team Stats
W1StreakW6
6-1-0Home Record5-1-1
5-1-1Away Record6-1-0
8-1-1Last 10 Games8-1-1
4.36Goals Per Game4.50
2.43Goals Against Per Game3.07
12.20%Power Play Percentage29.55%
85.00%Penalty Kill Percentage82.61%
stars
3-9-2, 8pts
2
FINAL
7 Rampages
11-2-1, 23pts
Team Stats
L1StreakW6
1-5-1Home Record5-1-1
2-4-1Away Record6-1-0
3-5-2Last 10 Games8-1-1
3.14Goals Per Game4.50
5.00Goals Against Per Game3.07
14.29%Power Play Percentage29.55%
88.57%Penalty Kill Percentage82.61%
Meneurs d'équipe
Kyle KeyserVictoires
Kyle Keyser
11
Kyle KeyserPourcentage d’arrêts
Kyle Keyser
0.915

Statistiques d’équipe
Buts pour
63
4.50 GFG
Tirs pour
720
51.43 Avg
Pourcentage en avantage numérique
29.5%
13 GF
Début de zone offensive
44.7%
Buts contre
43
3.07 GAA
Tirs contre
494
35.29 Avg
Pourcentage en désavantage numérique
82.6%
8 GA
Début de la zone défensive
36.2%
Information d’équipe

Directeur généralGabriel Lavoie
EntraîneurGeoff Ward
DivisionCentrale
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs20


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
1Otto Somppi0X100.007471806771646465806165646244446662610232763,333$
2Lean Bergmann0XX100.008176927576606349504746644445455666580222836,667$
3Nathan Walker0XX100.008344916465655658385064652545466468580273700,000$
4Joachim Blichfeld0XX100.007169756669626266505969636644446666580232736,666$
5Mathias Emilio Pettersen (R)0X100.007466926166595959745558635544446165580213903,333$
6Austin Poganski0X100.007671866575695457485654632544445867580252700,000$
7Max Willman (R)0XX100.007467906167616258735161635844446268580262750,000$
8Robert Lantosi0X100.007167816267616261505265626244446366580261750,000$
9Benjamin Jones (R)0X100.006968726668656757715257605444446058580222760,000$
10Trey Fix-Wolansky0X100.007263926163555268506468646544446661580222809,166$
11Patrick Khodorenko (R)0X100.007973935373565657715753655044445968570223925,000$
12Cole Smith (R)0X100.007874875874565656505058645544445965570252792,500$
13Dean Kukan0X100.0075439068706461592549486125616257645902821,650,000$
14Jeremy Davies0X100.006942856866666765254547612545455667560242925,000$
15Gavin Bayreuther0X100.007844786372676460253951585346465768560273710,000$
16Dysin Mayo0X100.007673826473667245253440623851515271550252700,000$
Rayé
1Justin Bailey0XX100.007575757580715365485667676353535720630262750,000$
2Cameron Hebig0XXX100.0070677866676164536653485946444455425602400$
3Jake Lucchini0X100.007264926664646849504548594644445534550261700,000$
4Drake Rymsha0X100.007768995368454644553844614244445036510231733,333$
5Patrick Harper (R)0X100.006653956353505148604644564244445143510232925,000$
6Markus Nutivaara0X100.0077448782716860632565476325636459456202712,700,000$
MOYENNE D’ÉQUIPE100.00746386656962605750515562474747595857
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
1Kyle Keyser (R)100.00564354696157566159583044445660560
2Adam Huska100.00505569874749545750513044445259540
Rayé
MOYENNE D’ÉQUIPE100.0053496278545355595555304444546055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Geoff Ward77847981898357CAN591500,000$


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
1Joachim BlichfeldRampages (STL)LW/RW147121999519298721668.05%126118.652351734000013036.84%1900001.4611100111
2Otto SomppiRampages (STL)C147111874028448939687.87%633824.1913411380003400057.47%48200001.0623000201
3Benjamin JonesRampages (STL)C1471017995154049165314.29%229020.7833613350000220057.03%39100011.1702010111
4Trey Fix-WolanskyRampages (STL)RW146111784019337624587.89%430021.4332515380004360048.15%2700001.1313000023
5Max WillmanRampages (STL)C/LW148715560161572103211.11%325718.402241038000062060.00%2500001.1601000111
6Jeremy DaviesRampages (STL)D144913840201931122712.90%2330822.061341433000136000.00%000000.8400000201
7Robert LantosiRampages (STL)RW143101398016256122514.92%129020.7611215340000232046.67%1500000.8902000011
8Austin PoganskiRampages (STL)RW1445904020245210277.69%622115.8200002000051248.15%2700000.8100000100
9Dysin MayoRampages (STL)D14369825540112141214.29%1729821.33033432000130010.00%000000.6000100010
10Dean KukanRampages (STL)D1426866026162710217.41%1533824.180221339000038100.00%000000.4700000001
11Nathan WalkerRampages (STL)LW/RW14538-18022215419289.26%122816.35000020000190040.91%2200000.7000000002
12Mathias Emilio PettersenRampages (STL)C14257-26013394213334.76%121415.2900002000140056.89%28300000.6500000010
13Gavin BayreutherRampages (STL)D142576120337302176.67%1533524.000111440000035000.00%000000.4200000010
14Lean BergmannRampages (STL)LW/RW14156-1402319147157.14%1323316.6400012000000040.00%500000.5100000000
15Cole SmithRampages (STL)LW1403308024711770.00%1120514.700000100000000.00%000000.2900000000
16Patrick KhodorenkoRampages (STL)C14022-3005124340.00%0443.2000000000000056.76%7400000.8900000000
Statistiques d’équipe totales ou en moyenne2246111017168117153393617202195198.47%119416918.61132336127375000102999356.13%137000010.824122108912
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
1Kyle KeyserRampages (STL)1411210.9152.9585520424940000.76913140000
Statistiques d’équipe totales ou en moyenne1411210.9152.9585520424940000.76913140000


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 restantSalaire moyenPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam HuskaRampages (STL)G241997-05-12No218 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$600,000$0$0$No750,000$Lien / Lien NHL
Austin PoganskiRampages (STL)RW251996-02-16No201 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$750,000$0$0$No750,000$Lien / Lien NHL
Benjamin JonesRampages (STL)C221999-02-25Yes187 Lbs6 ft0NoNoNo2Pro & Farm760,000$760,000$600,000$0$0$No760,000$Lien
Cameron HebigRampages (STL)C/LW/RW241997-01-21No183 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien / Lien NHL
Cole SmithRampages (STL)LW251995-10-28Yes195 Lbs6 ft3NoNoNo2Pro & Farm792,500$792,500$792,500$0$0$No750,000$Lien
Dean KukanRampages (STL)D281993-07-08No186 Lbs6 ft2NoNoNo2Pro & Farm1,650,000$1,650,000$550,000$0$0$No1,650,000$Lien / Lien NHL
Drake RymshaRampages (STL)C231998-08-06No187 Lbs6 ft0NoNoNo1Pro & Farm733,333$733,333$733,333$0$0$NoLien / Lien NHL
Dysin MayoRampages (STL)D251996-08-17No195 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$625,000$0$0$No750,000$Lien / Lien NHL
Gavin BayreutherRampages (STL)D271994-05-12No195 Lbs6 ft1NoNoNo3Pro & Farm710,000$710,000$600,000$0$0$No750,000$750,000$Lien / Lien NHL
Jake LucchiniRampages (STL)LW261995-05-09No174 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$600,000$0$0$NoLien / Lien NHL
Jeremy DaviesRampages (STL)D241996-12-04No180 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$600,000$0$0$No750,000$Lien / Lien NHL
Joachim BlichfeldRampages (STL)LW/RW231998-07-17No180 Lbs6 ft2NoNoNo2Pro & Farm736,666$736,666$600,000$0$0$No750,000$Lien / Lien NHL
Justin BaileyRampages (STL)LW/RW261995-07-01No214 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$890,000$0$0$No750,000$Lien / Lien NHL
Kyle KeyserRampages (STL)G221999-03-08Yes178 Lbs6 ft2NoNoNo2Pro & Farm733,333$733,333$733,333$0$0$No733,333$Lien / Lien NHL
Lean BergmannRampages (STL)LW/RW221998-10-04No205 Lbs6 ft2NoNoNo2Pro & Farm836,667$836,667$600,000$0$0$No836,667$Lien / Lien NHL
Markus NutivaaraRampages (STL)D271994-06-06No191 Lbs6 ft1NoNoNo1Pro & Farm2,700,000$2,700,000$800,000$0$0$NoLien / Lien NHL
Mathias Emilio PettersenRampages (STL)C212000-04-03Yes181 Lbs5 ft11NoNoNo3Pro & Farm903,333$903,333$903,333$0$0$No903,333$903,333$Lien
Max WillmanRampages (STL)C/LW261995-02-13Yes183 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$550,000$0$0$No750,000$Lien
Nathan WalkerRampages (STL)LW/RW271994-02-07No186 Lbs5 ft9NoNoNo3Pro & Farm700,000$700,000$650,000$0$0$No750,000$750,000$Lien / Lien NHL
Otto SomppiRampages (STL)C231998-01-12No190 Lbs6 ft1NoNoNo2Pro & Farm763,333$763,333$763,333$0$0$No750,000$Lien / Lien NHL
Patrick HarperRampages (STL)C231998-07-29Yes150 Lbs5 ft7NoNoNo2Pro & Farm925,000$925,000$925,000$0$0$No925,000$Lien
Patrick KhodorenkoRampages (STL)C221998-10-13Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$925,000$0$0$No925,000$925,000$Lien
Robert LantosiRampages (STL)RW261995-09-24No185 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$550,000$0$0$NoLien / Lien NHL
Trey Fix-WolanskyRampages (STL)RW221999-05-26No187 Lbs5 ft7NoNoNo2Pro & Farm809,166$809,166$600,000$0$0$No809,166$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.29189 Lbs6 ft01.92869,930$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max WillmanOtto SomppiTrey Fix-Wolansky40122
2Joachim BlichfeldBenjamin JonesRobert Lantosi30122
3Nathan WalkerMathias Emilio PettersenAustin Poganski20122
4Lean BergmannPatrick KhodorenkoOtto Somppi10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanGavin Bayreuther40122
2Jeremy DaviesDysin Mayo30122
3Lean BergmannCole Smith20122
4Dean KukanGavin Bayreuther10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Max WillmanOtto SomppiTrey Fix-Wolansky60122
2Joachim BlichfeldBenjamin JonesRobert Lantosi40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanGavin Bayreuther60122
2Jeremy DaviesDysin Mayo40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Otto SomppiTrey Fix-Wolansky60122
2Benjamin JonesRobert Lantosi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanGavin Bayreuther60122
2Jeremy DaviesDysin Mayo40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Otto Somppi60122Dean KukanGavin Bayreuther60122
2Trey Fix-Wolansky40122Jeremy DaviesDysin Mayo40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Otto SomppiTrey Fix-Wolansky60122
2Benjamin JonesRobert Lantosi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dean KukanGavin Bayreuther60122
2Jeremy DaviesDysin Mayo40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max WillmanOtto SomppiTrey Fix-WolanskyDean KukanGavin Bayreuther
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Max WillmanOtto SomppiTrey Fix-WolanskyDean KukanGavin Bayreuther
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Austin Poganski, Mathias Emilio Pettersen, Nathan WalkerAustin Poganski, Mathias Emilio PettersenNathan Walker
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jeremy Davies, Dysin Mayo, Dean KukanJeremy DaviesDysin Mayo, Dean Kukan
Tirs de pénalité
Otto Somppi, Trey Fix-Wolansky, Benjamin Jones, Robert Lantosi, Max Willman
Gardien
#1 : Kyle Keyser, #2 : Adam Huska


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
1Admirals22000000835110000004221100000041341.000813210022291048222027122219602220526233.33%10280.00%036061258.82%26349653.02%14626255.73%3692633039918295
2Condors11000000541110000005410000000000021.0005914002229104512202712221930924254125.00%5180.00%036061258.82%26349653.02%14626255.73%3692633039918295
3Eagles2100000110731000000134-11100000073430.7501019290022291048622027122219702212396350.00%60100.00%036061258.82%26349653.02%14626255.73%3692633039918295
4Icehogs210000101174100000105411100000063341.00011182900222910413822027122219601612524125.00%6183.33%036061258.82%26349653.02%14626255.73%3692633039918295
5Moose2110000068-21010000005-51100000063320.500691500222910410122027122219751910439333.33%5260.00%036061258.82%26349653.02%14626255.73%3692633039918295
6Reign11000000624000000000001100000062421.000611170022291048322027122219354824000.00%40100.00%036061258.82%26349653.02%14626255.73%3692633039918295
7stars220000001156110000007251100000043141.0001121320022291048822027122219741116477228.57%5180.00%036061258.82%26349653.02%14626255.73%3692633039918295
8wild2010001067-1100000105411010000013-220.500610160022291049122027122219901617578112.50%5180.00%036061258.82%26349653.02%14626255.73%3692633039918295
Total149200021634320731000212925476100000341816230.8216311017300222910472022027122219494119119339441329.55%46882.61%036061258.82%26349653.02%14626255.73%3692633039918295
_Since Last GM Reset149200021634320731000212925476100000341816230.8216311017300222910472022027122219494119119339441329.55%46882.61%036061258.82%26349653.02%14626255.73%3692633039918295
_Vs Conference149200021634320731000212925476100000341816230.8216311017300222910472022027122219494119119339441329.55%46882.61%036061258.82%26349653.02%14626255.73%3692633039918295
_Vs Division127200021523715621000212421365100000281612190.79252901420022291045862202712221942910687290401230.00%37781.08%036061258.82%26349653.02%14626255.73%3692633039918295

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1423W66311017372049411911933900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
149200216343
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
73100212925
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
76100003418
Derniers 10 matchs
WLOTWOTL SOWSOL
810001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
441329.55%46882.61%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
220271222192229104
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
36061258.82%26349653.02%14626255.73%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
3692633039918295


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2021-09-063Rampages6Moose3WSommaire du match
2 - 2021-09-0717Moose5Rampages0LSommaire du match
4 - 2021-09-0938Rampages6Reign2WSommaire du match
5 - 2021-09-1046Icehogs4Rampages5WXXSommaire du match
7 - 2021-09-1261Rampages7Eagles3WSommaire du match
8 - 2021-09-1376Eagles4Rampages3LXXSommaire du match
10 - 2021-09-1598Condors4Rampages5WSommaire du match
11 - 2021-09-16102Rampages1wild3LSommaire du match
13 - 2021-09-18126Admirals2Rampages4WSommaire du match
14 - 2021-09-19139Rampages4Admirals1WSommaire du match
15 - 2021-09-20147Rampages4stars3WSommaire du match
17 - 2021-09-22164Rampages6Icehogs3WSommaire du match
18 - 2021-09-23172wild4Rampages5WXXSommaire du match
21 - 2021-09-26203stars2Rampages7WSommaire du match



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
34 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,087,833$ 1,594,082$ 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$ 1 0$ 0$




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