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Springfield
GP: 82 | W: 45 | L: 35 | OTL: 2 | P: 92
GF: 366 | GA: 341 | PP%: 21.43% | PK%: 76.16%
DG: Francis Cloutier | Morale : 50 | Moyenne d’équipe : N/A
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Centre de jeu
Springfield
45-35-2, 92pts
6
FINAL
7 Ontario
32-43-7, 71pts
Team Stats
W1SéquenceW2
20-20-1Fiche domicile18-19-4
25-15-1Fiche domicile14-24-3
5-4-1Derniers 10 matchs6-3-1
4.46Buts par match 3.67
4.16Buts contre par match 4.20
21.43%Pourcentage en avantage numérique22.05%
76.16%Pourcentage en désavantage numérique73.31%
Springfield
45-35-2, 92pts
8
FINAL
6 San Jose
53-27-2, 108pts
Team Stats
W1SéquenceL1
20-20-1Fiche domicile29-11-1
25-15-1Fiche domicile24-16-1
5-4-1Derniers 10 matchs7-3-0
4.46Buts par match 4.51
4.16Buts contre par match 3.62
21.43%Pourcentage en avantage numérique25.54%
76.16%Pourcentage en désavantage numérique78.13%
Meneurs d'équipe
Buts
Morgan Geekie
52
Passes
Morgan Geekie
71
Points
Morgan Geekie
123
Plus/Moins
Pierre Engvall
38
Victoires
Anthony Stolarz
28
Pourcentage d’arrêts
Jhonas Enroth
0.911

Statistiques d’équipe
Buts pour
366
4.46 GFG
Tirs pour
3993
48.70 Avg
Pourcentage en avantage numérique
21.4%
78 GF
Début de zone offensive
43.3%
Buts contre
341
4.16 GAA
Tirs contre
3562
43.44 Avg
Pourcentage en désavantage numérique
76.2%%
82 GA
Début de la zone défensive
39.4%
Informations de l'équipe

Directeur généralFrancis Cloutier
EntraîneurRandy Cunneyworth
DivisionCentrale
ConférenceConference ouest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,874
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs77


Historique d'équipe

Saison actuelle45-35-2 (92PTS)
Historique134-103-26 (0.510%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)16-6
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
1Corey PerryXX100.008844645079668968826670758390832850003721,600,000$
2Cory ConacherXX100.007138967772747973547074637365633050003221,020,000$
3Erik CondraXX100.00602697507066916354636670757164205000352950,000$
4Kyle PalmieriXX100.007833878676859172526975628059533850003121,100,000$
5Colin BlackwellXXX97.007429927573788375837275697763603950002912,750,000$
6Brendan Perlini (R)XX100.007435837988758771747072618250496150002631,050,000$
7Pierre Engvall (R)XX100.007632927990809977717577757551526650002511,400,000$
8Morgan Geekie (R)XX100.00764092788773957685747477774646685000232500,000$
9Justin DanforthXX99.007730918577788072906973697463625050002941,200,000$
10Drake CaggiulaXX100.00613197757683716771656970765859505000281975,000$
11Gemel SmithXXX100.00553495808172716769666662765959485000281760,000$
12Jayce Hawryluk (R)XX100.00773290797871736771656862765351505000263875,000$
13Tyler LewingtonX99.00834551798778885553545684755146515000272650,000$
14Ian ColeX100.007440686482809353505952926976643450003321,500,000$
15Jyrki JokipakkaX100.00643484688477904950475180766455455000302500,000$
16Trevor van RiemsdykX99.006140907284859058505550897762524550003031,100,000$
17Wyatt Kalynuk (R)X100.00712796818085735473505586774845675000251600,000$
18Mark AltX100.00692593758577744070403985756763325000302500,000$
Rayé
MOYENNE D’ÉQUIPE99.6772348774817784646763657476615746500
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
1Jhonas Enroth97.00717874717185858988755081802850003411,200,000$
Rayé
1Anthony Stolarz95.00657682837783858079817060596150002811,850,000$
MOYENNE D’ÉQUIPE96.006877787774848585847860717045500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Cunneyworth83838267948929CAN601750,000$


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
1Morgan GeekieSpringfield (STL)C/RW795271123342805719942511128012.24%25151119.13112132932780001529153.92%254800021.6311000567
2Pierre EngvallSpringfield (STL)C/LW78506711738240499347112434910.62%16145018.60131326962780110168544.90%19600021.6101000795
3Colin BlackwellSpringfield (STL)C/LW/RW8031578819440951963321032369.34%17162220.28517227728720272433152.08%271100001.0901000337
4Kyle PalmieriSpringfield (STL)LW/RW802847751326011569388972467.22%16139717.47513181042880002335136.63%10100011.0701000443
5Trevor van RiemsdykSpringfield (STL)D79145973163355470214691096.54%183184023.29614201022880224301210%000000.7900100223
6Justin DanforthSpringfield (STL)C/RW82324072-13440111172332842239.64%20146417.86161228102288112102195254.95%197800000.9801000220
7Cory ConacherSpringfield (STL)LW/RW813138691523566712738721911.36%8136816.895121765287000003140.83%12000001.0100001421
8Tyler LewingtonSpringfield (STL)D79114960131803017562175601576.29%131177922.523912802740004219220%000000.6700123113
9Wyatt KalynukSpringfield (STL)D82124456774012363196601216.12%155184722.5381422822870004273100%000100.6100000111
10Corey PerrySpringfield (STL)LW/RW802728553514420233581703112315.88%14139817.4811243121362021155.61%20500000.7900003243
11Ian ColeSpringfield (STL)D81124153224207483118386610.17%196168720.83000130332249100%000000.6300000304
12Brendan PerliniSpringfield (STL)LW/RW82172643-1726012650267771776.37%10124115.1441014562640000111045.83%12000000.6900000122
13Drake CaggiulaSpringfield (STL)LW/RW82161430-151201868183471508.74%1393311.3810111000000047.83%9200000.6400000006
14Jayce HawrylukSpringfield (STL)LW/RW82101424-10140753494297710.64%35576.80000000002222038.78%4900000.8600000001
15Gemel SmithSpringfield (STL)C/LW/RW8281321-1175105911939896.72%115576.8000000000021152.03%78800000.7500010001
16Jyrki JokipakkaSpringfield (STL)D8251419750067418224556.10%89112113.6700004000046100%000000.3400000000
17Erik CondraSpringfield (STL)LW/RW829817-1140233287194710.34%1285810.4601108000122900143.18%8800000.4000000001
18Mark AltSpringfield (STL)D8211213430065506621481.52%104109313.34011414000016000%000000.2400000000
Statistiques d’équipe totales ou en moyenne1455366642100814680565153614703992112027729.17%10232372916.317813821686728895813542202451752.55%899600150.8515237353648
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
1Anthony StolarzSpringfield (STL)47281610.9083.9627412118119740000.60054720460
2Jhonas EnrothSpringfield (STL)33171500.9113.831878401201346000003054200
Statistiques d’équipe totales ou en moyenne80453110.9093.91461961301332000057774660


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible 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 10Lien
Anthony Stolarz (contrat à 1 volet)Springfield (STL)G281994-01-20 08:44:41No216 Lbs6 ft6NoNoYesYes1Pro & Farm1,850,000$18,500$0$NoLien
Brendan PerliniSpringfield (STL)LW/RW261996-04-27Yes213 Lbs6 ft3NoNoNoNo3Pro & Farm1,050,000$6,140$0$0$No1,050,000$1,050,000$Lien
Colin Blackwell (contrat à 1 volet)Springfield (STL)C/LW/RW291993-03-28No190 Lbs5 ft9NoNoYesYes1Pro & Farm2,750,000$27,500$0$NoLien
Corey PerrySpringfield (STL)LW/RW371985-01-10No219 Lbs6 ft3NoNoNoNo2Pro & Farm1,600,000$9,357$0$0$No1,600,000$
Cory ConacherSpringfield (STL)LW/RW321989-12-14No187 Lbs5 ft8NoNoNoNo2Pro & Farm1,020,000$5,965$0$0$No1,020,000$Lien
Drake CaggiulaSpringfield (STL)LW/RW281994-06-20 06:57:26No176 Lbs5 ft10NoNoNoNo1Pro & Farm975,000$5,702$0$0$No
Erik CondraSpringfield (STL)LW/RW351986-08-06No200 Lbs6 ft0NoNoNoNo2Pro & Farm950,000$5,556$0$0$No950,000$Lien
Gemel SmithSpringfield (STL)C/LW/RW281994-04-16 07:49:08No203 Lbs5 ft10NoNoNoNo1Pro & Farm760,000$4,444$0$0$NoLien
Ian ColeSpringfield (STL)D331989-02-21No222 Lbs6 ft1NoNoNoNo2Pro & Farm1,500,000$8,772$0$0$No1,500,000$Lien
Jayce HawrylukSpringfield (STL)LW/RW261996-01-01 07:51:19Yes196 Lbs5 ft11NoNoNoNo3Pro & Farm875,000$5,117$0$0$No875,000$875,000$Lien
Jhonas Enroth (contrat à 1 volet)Springfield (STL)G341988-06-25 12:31:48No175 Lbs5 ft10NoNoYesYes1Pro & Farm1,200,000$12,000$0$NoLien
Justin DanforthSpringfield (STL)C/RW291993-03-15 06:55:09No180 Lbs5 ft9NoNoNoNo4Pro & Farm1,200,000$7,018$0$0$No1,200,000$1,200,000$1,200,000$
Jyrki JokipakkaSpringfield (STL)D301991-08-20No218 Lbs6 ft3NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Kyle Palmieri (contrat à 1 volet)Springfield (STL)LW/RW311991-02-01No207 Lbs5 ft11NoNoYesYes2Pro & Farm1,100,000$11,000$0$No1,100,000$Lien
Mark AltSpringfield (STL)D301991-10-18 08:17:45No201 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Morgan GeekieSpringfield (STL)C/RW231998-07-20 22:05:39Yes200 Lbs6 ft3NoNoNoNo2Pro & Farm500,000$2,924$0$0$No500,000$Lien
Pierre EngvallSpringfield (STL)C/LW251996-07-20 22:02:04Yes219 Lbs6 ft5NoNoNoNo1Pro & Farm1,400,000$8,187$0$0$NoLien
Trevor van Riemsdyk (contrat à 1 volet)Springfield (STL)D301991-07-24No194 Lbs6 ft2NoNoYesYes3Pro & Farm1,100,000$11,000$0$No1,100,000$1,100,000$Lien
Tyler LewingtonSpringfield (STL)D271994-12-05No206 Lbs6 ft2NoNoNoNo2Pro & Farm650,000$3,801$0$0$No650,000$Lien
Wyatt KalynukSpringfield (STL)D251997-04-14 08:15:27Yes180 Lbs6 ft1NoNoNoNo1Pro & Farm600,000$3,509$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2029.30200 Lbs6 ft11.901,104,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre EngvallMorgan GeekieCorey Perry32014
2Cory ConacherColin BlackwellKyle Palmieri29023
3Drake CaggiulaJustin DanforthBrendan Perlini25122
4Erik CondraGemel SmithJayce Hawryluk14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeTyler Lewington40122
2Wyatt KalynukTrevor van Riemsdyk35122
3Jyrki JokipakkaMark Alt25122
4Ian Cole0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pierre EngvallMorgan GeekieBrendan Perlini50122
2Cory ConacherColin BlackwellJustin Danforth50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle PalmieriTyler Lewington50122
2Wyatt KalynukTrevor van Riemsdyk50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colin BlackwellCorey Perry50122
2Justin DanforthErik Condra50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeTrevor van Riemsdyk50122
2Wyatt KalynukTyler Lewington50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colin Blackwell50122Ian ColeTrevor van Riemsdyk50122
2Justin Danforth50122Wyatt KalynukTyler Lewington50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Justin DanforthColin Blackwell50122
2Gemel SmithBrendan Perlini50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ian ColeTrevor van Riemsdyk50122
2Wyatt KalynukTyler Lewington50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Pierre EngvallMorgan GeekieKyle PalmieriIan ColeTyler Lewington
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Cory ConacherColin BlackwellCorey PerryIan ColeTyler Lewington
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Erik Condra, Kyle Palmieri, Brendan PerliniErik Condra, Kyle PalmieriCorey Perry
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor van Riemsdyk, Wyatt Kalynuk, Jyrki JokipakkaTyler LewingtonWyatt Kalynuk, Trevor van Riemsdyk
Tirs de pénalité
Morgan Geekie, Pierre Engvall, Kyle Palmieri, Colin Blackwell, Justin Danforth
Gardien
#1 : , #2 : Jhonas Enroth
Lignes d’attaque personnalisées en prolongation
Morgan Geekie, Pierre Engvall, Kyle Palmieri, Colin Blackwell, Justin Danforth, Cory Conacher, Cory Conacher, Corey Perry, Brendan Perlini, Drake Caggiula, Gemel Smith
Lignes de défense personnalisées en prolongation
Ian Cole, Tyler Lewington, Wyatt Kalynuk, Jyrki Jokipakka, Mark Alt


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
1Abbotsford413000001117-620200000511-62110000066020.250111829001431268991991335137712404615350287714214.29%14471.43%12105390753.88%1858355752.24%790155850.71%1962133118946241083543
2Bakersfield4220000013112211000005502110000086240.500132336001431268991831335137712404616553417922418.18%16193.75%12105390753.88%1858355752.24%790155850.71%1962133118946241083543
3Bridgeport21100000141041010000038-511000000112920.50014243800143126899121133513771240466823143715426.67%7442.86%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
4Charlotte20200000715-81010000046-21010000039-600.00071320001431268991171335137712404610116845900.00%4250.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
5Cleveland21001000963100010005411100000042241.00091625001431268998813351377124046751931369111.11%9277.78%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
6Coachella Valley201010008801010000056-11000100032120.5008122000143126899103133513771240468220223410220.00%11190.91%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
7Eagles42200000191542110000010822110000097240.500193453001431268992461335137712404615552248522522.73%11281.82%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
8Grand Rapids22000000954110000003121100000064241.000914230014312689910313351377124046862314379222.22%6266.67%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
9Hartford220000001174110000005321100000064241.000112031001431268999313351377124046922626398337.50%13469.23%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
10Hershey2000100110100100010005411000000156-130.7501019290014312689911213351377124046942514407114.29%7271.43%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
11Iowa6420000028199321000001812632100000107380.667285381001431268992911335137712404625178879418422.22%30680.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
12Laval2020000079-21010000045-11010000034-100.0007142100143126899721335137712404686212533100.00%10370.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
13Lehigh Valley220000001596110000008351100000076141.0001525400014312689995133513771240466517113416743.75%3166.67%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
14Manitoba63201000282443200100016610312000001218-680.6672848760114312689931013351377124046258747011729724.14%23960.87%12105390753.88%1858355752.24%790155850.71%1962133118946241083543
15Ontario431000002216622000000107321100000129360.750223860001431268992221335137712404617455307917847.06%15753.33%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
16Providence3100110016142210001009811000100076150.83316264200143126899134133513771240461595038508112.50%16568.75%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
17Rochester20101000101001010000045-11000100065120.500101727001431268991311335137712404693148351119.09%4175.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
18Rockford834010003234-230300000917-8531010002317680.50032578900143126899350133513771240463371108515839615.38%39684.62%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
19San Diego422000001617-121100000910-12110000077040.50016294500143126899194133513771240461896941901500.00%17288.24%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
20San Jose413000001317-42020000026-4211000001111020.250132235001431268991701335137712404619554527818316.67%25676.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
21Syracuse725000002840-12422000001820-2303000001020-1040.2862851790014312689929913351377124046354817013729517.24%28678.57%12105390753.88%1858355752.24%790155850.71%1962133118946241083543
22Texas6410100032211131101000161153300000016106100.8333258900014312689926413351377124046252805284291034.48%26484.62%12105390753.88%1858355752.24%790155850.71%1962133118946241083543
23Wilkes-Barre/Scranton211000008711010000056-11100000031220.50081220001431268999613351377124046781522399222.22%10280.00%02105390753.88%1858355752.24%790155850.71%1962133118946241083543
Total82373508101366341254116200410017817264121150400118816919920.5613666431009011431268993993133513771240463562102581315373647821.43%3448276.16%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
_Since Last GM Reset82373508101366341254116200410017817264121150400118816919920.5613666431009011431268993993133513771240463562102581315373647821.43%3448276.16%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
_Vs Conference5727270300024223111281214020001181135291513010001241186600.52624243167301143126899272813351377124046248375658010782525421.43%2445378.28%52105390753.88%1858355752.24%790155850.71%1962133118946241083543
_Vs Division3016140300013911326147702000695415169701000705911380.6331392503890114312689914611335137712404612533943185381373223.36%1292779.07%22105390753.88%1858355752.24%790155850.71%1962133118946241083543

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8292W13666431009399335621025813153701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8237358101366341
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4116204100178172
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4121154001188169
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3647821.43%3448276.16%5
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
13351377124046143126899
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
2105390753.88%1858355752.24%790155850.71%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1962133118946241083543


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
29Springfield5Manitoba9ALSommaire du match
418Syracuse8Springfield5BLSommaire du match
632Texas1Springfield6BWSommaire du match
742Springfield6Rockford4AWSommaire du match
954Manitoba3Springfield4BWXSommaire du match
1163Springfield5Texas4AWSommaire du match
1374Springfield4Rockford3AWXSommaire du match
1586Springfield6Iowa3AWSommaire du match
1696Syracuse5Springfield4BLSommaire du match
18108Springfield2Syracuse5ALSommaire du match
20120Iowa4Springfield6BWSommaire du match
22130Springfield4Rockford1AWSommaire du match
24142Rockford5Springfield2BLSommaire du match
26160Coachella Valley6Springfield5BLSommaire du match
28171Springfield3Eagles4ALSommaire du match
30184Springfield11Bridgeport2AWSommaire du match
32192Eagles6Springfield5BLSommaire du match
34206Grand Rapids1Springfield3BWSommaire du match
36218Springfield4Abbotsford3AWSommaire du match
38230Springfield1Iowa3ALSommaire du match
39239Laval5Springfield4BLSommaire du match
41254Manitoba0Springfield6BWSommaire du match
43263Springfield3Bakersfield4ALSommaire du match
46280San Diego3Springfield5BWSommaire du match
48289Springfield3Coachella Valley2AWXSommaire du match
50303Iowa4Springfield3BLSommaire du match
52311Springfield5Bakersfield2AWSommaire du match
55332San Diego7Springfield4BLSommaire du match
57345Manitoba3Springfield6BWSommaire du match
59357Springfield3Manitoba6ALSommaire du match
60366Lehigh Valley3Springfield8BWSommaire du match
65387Charlotte6Springfield4BLSommaire du match
67406Springfield6Eagles3AWSommaire du match
69413Hartford3Springfield5BWSommaire du match
71425Springfield7Lehigh Valley6AWSommaire du match
72435Springfield3Laval4ALSommaire du match
74444Iowa4Springfield9BWSommaire du match
76458Abbotsford5Springfield1BLSommaire du match
78471Springfield5Texas4AWSommaire du match
80482Springfield4San Diego5ALSommaire du match
81490Bridgeport8Springfield3BLSommaire du match
83506Texas6Springfield5BLSommaire du match
87527Hershey4Springfield5BWXSommaire du match
89536Springfield6Grand Rapids4AWSommaire du match
90546Springfield4Manitoba3AWSommaire du match
92557Texas4Springfield5BWXSommaire du match
95571Springfield6Rochester5AWXSommaire du match
97582Wilkes-Barre/Scranton6Springfield5BLSommaire du match
100596Springfield3Iowa1AWSommaire du match
101606Cleveland4Springfield5BWXSommaire du match
104628San Jose2Springfield0BLSommaire du match
106638Springfield4Cleveland2AWSommaire du match
108651Bakersfield2Springfield4BWSommaire du match
109657Springfield5Hershey6ALXXSommaire du match
111674Syracuse5Springfield6BWSommaire du match
113684Springfield5Rockford3AWSommaire du match
115695Springfield7Providence6AWXSommaire du match
117700Rochester5Springfield4BLSommaire du match
118714Springfield3Charlotte9ALSommaire du match
120725Bakersfield3Springfield1BLSommaire du match
122735Springfield3Wilkes-Barre/Scranton1AWSommaire du match
125751Abbotsford6Springfield4BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
128770Ontario3Springfield5BWSommaire du match
130779Springfield2Abbotsford3ALSommaire du match
133790Springfield6Texas2AWSommaire du match
135799San Jose4Springfield2BLSommaire du match
139818Rockford6Springfield4BLSommaire du match
140824Springfield6Hartford4AWSommaire du match
142842Rockford6Springfield3BLSommaire du match
146865Syracuse2Springfield3BWSommaire du match
147871Springfield3San Jose5ALSommaire du match
151890Providence2Springfield4BWSommaire du match
154906Springfield6Ontario2AWSommaire du match
155914Ontario4Springfield5BWSommaire du match
157926Springfield4Rockford6ALSommaire du match
159938Providence6Springfield5BLXSommaire du match
160941Springfield5Syracuse7ALSommaire du match
161948Springfield3San Diego2AWSommaire du match
166963Eagles2Springfield5BWSommaire du match
167965Springfield3Syracuse8ALSommaire du match
168974Springfield6Ontario7ALSommaire du match
170983Springfield8San Jose6AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4225
Assistance78,69139,155
Assistance PCT95.96%95.50%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2874 - 95.81% 141,561$5,804,003$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,139,552$ 1,408,000$ 1,408,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
8,234$ 1,393,932$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 12,620$ 12,620$




Springfield 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
1Noah Gregor244972283258024455537611118.73%62509920.9025911162832131724349.27%01.2713
2Jesper Bratt21298167265477613234611948.21%13427520.17265985289000271350.12%01.2407
3Alexey Marchenko228601291897010913826054511.01%455517622.7018213923712312930%00.7300
4Nick Spaling1607810618464484232860612.87%18324520.29263460154000014851.27%21.1300
5Nathan Bastian24475108183323135432098838.49%25400016.401824421790001011548.63%00.9106

Springfield 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
1Jakob Markstrom127784140.9133.3874216441848110480.88025
2Craig Anderson84522440.9173.4948084228033840420.6676
3Anton Khudobin44251440.9013.2526370214314410100.83318

Springfield 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
208238250556330926247411915011411481291941191004422161133281063095248330410511281133004970983101463274481884913793376318.69%3206081.25%41721325752.84%1584311550.85%729136153.56%1946131919496221084541
2182442707121370297734126110201119413856411816051101761591710837065810285214013190104072133713291373443451101489515063689425.54%3437578.13%22068397851.99%1902362352.50%758147551.39%1989135518716251093548
2182442707121370297734126110201119413856411816051101761591710837065810285214013190104072133713291373443451101489515063689425.54%3437578.13%22068397851.99%1902362352.50%758147551.39%1989135518716251093548
Total Saison régulière246110103020346999922771235849093225234467712352540110244764760277999174727462638033326229106993562363633841509833286423654423106521119.81%99521278.69%1258001090553.19%52751027751.33%2198438350.15%583539585775189132381612
Séries éliminatoires
20514000001317-4312000001011-12020000036-32132437005530156615441017841467118422.22%23386.96%010420052.00%9120444.61%387749.35%11273119376734
Total Séries éliminatoires22166000007450241183000003625111183000003825133274124198012323262796236258257457312141813911172420.51%781087.18%146592850.11%42785050.24%16135545.35%551376560180298147

Springfield 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
1Leo Komarov5134-6217147.14%28116.24011400000068.75%00.9900
2Beau Bennett5134-1008185.56%09118.21022300000040.00%00.8800
3Luke Glendening5224-122141315.38%09218.46022100000050.76%00.8700
4Noah Gregor531430581421.43%110721.41101300011045.45%00.7500
5Parker Kelly504416511160%010220.52011100010043.64%00.7800

Springfield 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
1Jakob Markstrom31200.8864.02179001210500000
2Anton Khudobin20200.9322.521190057300000