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CHICAGO UNDERTAKERS
GP: 12 | W: 6 | L: 6
GF: 35 | GA: 33 | PP%: 38.10% | PK%: 83.33%
DG: Scott H | Morale : 82 | Moyenne d’équipe : 64

Centre de jeu
CHICAGO UNDERTAKERS
6-6-0, 12pts
1
4 PHILADELPHIA PHANTOMS
8-3-0, 16pts
Team Stats
L3SéquenceW3
3-3-0Fiche domicile5-1-0
3-3-0Fiche domicile3-2-0
4-6-0Derniers 10 matchs7-2-1
2.92Buts par match 3.55
2.75Buts contre par match 2.55
38.10%Pourcentage en avantage numérique8.33%
83.33%Pourcentage en désavantage numérique83.33%
PHILADELPHIA PHANTOMS
8-3-0, 16pts
6
3 CHICAGO UNDERTAKERS
6-6-0, 12pts
Team Stats
W3SéquenceL3
5-1-0Fiche domicile3-3-0
3-2-0Fiche domicile3-3-0
7-2-1Derniers 10 matchs4-6-0
3.55Buts par match 2.92
2.55Buts contre par match 2.75
8.33%Pourcentage en avantage numérique38.10%
83.33%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Tomas Tatar
9
Passes
Tomas Tatar
11
Points
Tomas Tatar
20
Plus/Moins
Tomas Tatar
7
Victoires
Ilya Sorokin
6
Pourcentage d’arrêts
Ilya Sorokin
0.907

Statistiques d’équipe
Buts pour
35
2.92 GFG
Tirs pour
407
33.92 Avg
Pourcentage en avantage numérique
38.1%
8 GF
Début de zone offensive
40.7%
Buts contre
33
2.75 GAA
Tirs contre
363
30.25 Avg
Pourcentage en désavantage numérique
83.3%%
3 GA
Début de la zone défensive
34.5%
Informations de l'équipe

Directeur généralScott H
EntraîneurPaul Maurice
DivisionAdams
ConférenceNeid Conference
CapitaineChris Tanev
Assistant #1Oliver Bjorkstrand
Assistant #2Rasmus Asplund


Informations de l’aréna

Capacité5,000
Assistance3,756
Billets de saison500


Informations de la formation

Équipe Pro35
Équipe Mineure18
Limite contact 53 / 66
Espoirs0


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
1Tomas TatarXX100.001199737567709955959161489999076760351920,000$
2Oliver Bjorkstrand (A)XX100.0024796677494947325787466559193076712312800,000$
3Rasmus Asplund (A)XXX100.00341997677929370556771615895910757022811,775,000$
4Keegan KolesarXX100.008728876877858377437066624594860767022811,850,000$
5Charlie CoyleXX100.001199627778787627868355558985075692333930,000$
6Mikael BacklundX100.001199617570787179696279679999076672372812,500$
7Martin FrkXX100.00221099598091867050685758549990076652311600,000$
8Morgan GeekieXX100.00512970697566676359555660597471076612271600,000$
9Mitchell StephensX100.0026199627772796580545354557884063602291600,000$
10AJ GreerX100.00534873657856706040545662587981030602281600,000$
11William Strömgren (R)X100.003199727563646846635754666567076602223600,000$
12William CarrierX100.00864565607862645148535860548786031602311600,000$
13Olli MaattaX100.00251996481889677337466763699990767223111,625,000$
14Brady SkjeiX100.00777736559074768039796871459699076722321934,000$
15Nils LundkvistX100.001199858579886644756072449776076692251650,000$
16Kevin BahlX100.0050399888379776440654667448774076692251715,000$
17Josh MahuraX100.0048199777479825944574375508675076682272600,000$
18Chris Tanev (C)X100.001199677555764552403374569999070600361600,000$
Rayé
1Matt NietoXX100.001199697378856743606854589588040642331600,000$
2J.T. CompherX100.008199627866765650666260699285019622311600,000$
3Riley SheahanX100.0015499597967596657656666489491019622341600,000$
4Egor Sokolov X100.0018882698170745146585357577968020582251709,000$
5Matthew PhillipsXX100.0012199746565695348485057458370060562281600,000$
6Justin Ertel (R)X100.00404476707460655245505156476570020562223600,000$
7Ondrej Becher (R)X100.00182437636360635855595465545659020562193600,000$
8Connor Murphy X100.009284196478687755354739755286890196723311,042,000$
9Brandon MontourX100.00362996607987826740666364459697020662323895,000$
10Gustav OlofssonX100.00251299647867787243715765449187019642311600,000$
11Dylan MacKinnon (R)X100.00283785767369635844545664486562020602202625,000$
12Noel Fransén (R)X100.00371790636362646344585760465453020572193600,000$
13David Farrance X100.00777768617346584640514157556773020572261550,000$
14Roman Schmidt (R)X100.00341174677955595344505455445858020562223600,000$
MOYENNE D’ÉQUIPE100.0032198667767175644763586352848105064
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
1Ilya Sorokin100.00726766757187848674635888780787523051,200,000$
2Ville Husso100.0066657678736372727067557560077692311750,000$
Rayé
1Ivan Prosvetov100.0063696784716462656062558166044662261600,000$
MOYENNE D’ÉQUIPE100.006767707972717374686456816806670
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Paul Maurice8074667299991CAN5451,000,000$


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
1Tomas TatarCHICAGO UNDERTAKERS (CHI)LW/RW129112072031346163919.57%425321.12235316000010050.00%22182001.5800000121
2Rasmus AsplundCHICAGO UNDERTAKERS (CHI)C/LW/RW1266127195251433101918.18%425221.05123216000013049.86%34555000.9500000011
3Oliver BjorkstrandCHICAGO UNDERTAKERS (CHI)LW/RW1236970017145212215.77%525120.96112116000001034.78%2376000.7200000001
4Brady SkjeiCHICAGO UNDERTAKERS (CHI)D1226812005119269107.69%2231726.4312331900000000%0513000.5000000010
5Morgan GeekieCHICAGO UNDERTAKERS (CHI)C/RW12437-60030101781023.53%216113.48000010000061050.63%7943010.8700000100
6Charlie CoyleCHICAGO UNDERTAKERS (CHI)C/RW12167-200482815253.57%620817.39022112000000035.17%145126000.6700000001
7Keegan KolesarCHICAGO UNDERTAKERS (CHI)C/RW12426-260481635151911.43%320917.47123112000001045.45%1173000.5700000101
8William StrömgrenCHICAGO UNDERTAKERS (CHI)LW12156-60029257204.00%014412.0100000000000142.86%762000.8300000001
9Olli MaattaCHICAGO UNDERTAKERS (CHI)D120441001230271060%1833027.52011019000113000%069000.2400000000
10Chris TanevCHICAGO UNDERTAKERS (CHI)D120333001197390%1218815.6800000000120000%002000.3200000000
11Martin FrkCHICAGO UNDERTAKERS (CHI)LW/RW12213-2001017154913.33%520817.41112212000000040.00%522000.2900000100
12Josh MahuraCHICAGO UNDERTAKERS (CHI)D12123-6001512102510.00%1123419.5700000000020000%017000.2600000000
13Mikael BacklundCHICAGO UNDERTAKERS (CHI)C12112-200013256204.00%312510.49000000000210062.16%7441000.3200000000
14Nils LundkvistCHICAGO UNDERTAKERS (CHI)D12112-700215278103.70%822218.5110111000000000%0610000.1800000000
15William CarrierCHICAGO UNDERTAKERS (CHI)LW12011-2002076140%01109.200000000005000%312000.1800000000
16Kevin BahlCHICAGO UNDERTAKERS (CHI)D12011200131011060%918015.0500000000013000%021000.1100000000
17Mitchell StephensCHICAGO UNDERTAKERS (CHI)C12000-200169330%312310.32000000001210057.14%71000000000000
18AJ GreerCHICAGO UNDERTAKERS (CHI)LW12000-6001838260%415312.83000000000110050.00%42100000000000
Statistiques d’équipe totales ou en moyenne216355994-154752722354071312418.60%119367717.03814221414700031386147.45%7258975010.5100000446
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
1Ilya SorokinCHICAGO UNDERTAKERS (CHI)126600.9072.7769420323431600000120210
2Ville HussoCHICAGO UNDERTAKERS (CHI)10000.9501.30460012080000012000
Statistiques d’équipe totales ou en moyenne136600.9092.6774120333631680001212210


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
AJ GreerCHICAGO UNDERTAKERS (CHI)LW281997-05-29CANNo207 Lbs6 ft4NoNoN/ANoNo12024-06-15FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Brady SkjeiCHICAGO UNDERTAKERS (CHI)D321994-03-26USANo264 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm934,000$311,333$93,400$31,133$No---------------------------
Brandon MontourCHICAGO UNDERTAKERS (CHI)D321994-04-11CANNo221 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm895,000$298,333$89,500$29,833$No895,000$895,000$-------40,000$40,000$-------NoNo-------
Charlie CoyleCHICAGO UNDERTAKERS (CHI)C/RW331992-08-12CANNo212 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm930,000$310,000$93,000$31,000$No930,000$930,000$-------40,000$40,000$-------NoNo-------
Chris TanevCHICAGO UNDERTAKERS (CHI)D361989-12-20CANNo200 Lbs6 ft2NoNoN/ANoNo12025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Connor Murphy CHICAGO UNDERTAKERS (CHI)D331993-03-26USANo211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,042,000$347,333$104,200$34,733$No---------------------------
David Farrance CHICAGO UNDERTAKERS (CHI)D261999-06-23USANo203 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm550,000$183,333$55,000$18,333$No---------------------------
Dylan MacKinnonCHICAGO UNDERTAKERS (CHI)D202005-06-01CANYes204 Lbs6 ft2NoNoAssign ManuallyNoNo22026-02-23FalseFalsePro & Farm625,000$208,333$62,500$20,833$No625,000$--------40,000$--------No--------
Egor Sokolov CHICAGO UNDERTAKERS (CHI)LW252000-06-07RUSNo228 Lbs6 ft3NoNoTrade2024-09-22NoNo12024-06-09FalseFalsePro & Farm709,000$236,333$70,900$23,633$No---------------------------
Gustav OlofssonCHICAGO UNDERTAKERS (CHI)D311994-12-01SWENo211 Lbs6 ft4NoNoN/ANoNo12024-06-15FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Ilya SorokinCHICAGO UNDERTAKERS (CHI)G301995-08-04RUSNo191 Lbs6 ft5NoNoTrade2024-02-24NoNo52025-06-14FalseFalsePro & Farm1,200,000$400,000$120,000$40,000$No1,200,000$1,200,000$1,200,000$1,200,000$-----40,000$40,000$40,000$40,000$-----NoNoNoNo-----
Ivan ProsvetovCHICAGO UNDERTAKERS (CHI)G261999-05-05RUSNo233 Lbs6 ft3NoNoAssign ManuallyNoNo12025-09-18FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
J.T. CompherCHICAGO UNDERTAKERS (CHI)C311995-04-08USANo211 Lbs6 ft1NoNoAssign ManuallyNoNo12024-06-15FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Josh MahuraCHICAGO UNDERTAKERS (CHI)D271998-05-05CANNo189 Lbs6 ft0NoNoAssign ManuallyNoNo22024-06-16FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$--------40,000$--------No--------
Justin ErtelCHICAGO UNDERTAKERS (CHI)LW222003-06-01CANYes189 Lbs6 ft3NoNoN/ANoNo32025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Keegan KolesarCHICAGO UNDERTAKERS (CHI)C/RW281997-05-29CANNo202 Lbs6 ft5NoNoAssign ManuallyNoNo12026-03-04FalseFalsePro & Farm1,850,000$616,667$185,000$61,667$No---------------------------
Kevin BahlCHICAGO UNDERTAKERS (CHI)D252000-06-27CANNo232 Lbs6 ft6NoNoTrade2025-02-06NoNo1FalseFalsePro & Farm715,000$238,333$71,500$23,833$No---------------------------
Martin FrkCHICAGO UNDERTAKERS (CHI)LW/RW311994-09-10CZKNo225 Lbs6 ft3NoNoN/ANoNo12024-06-15FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Matt NietoCHICAGO UNDERTAKERS (CHI)LW/RW331992-11-05USANo203 Lbs5 ft8NoNoTrade2024-06-22NoNo12025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------Lien NHL
Matthew PhillipsCHICAGO UNDERTAKERS (CHI)C/LW281998-04-06CANNo159 Lbs5 ft7NoNoTrade2025-02-06NoNo12025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Mikael BacklundCHICAGO UNDERTAKERS (CHI)C371989-03-17SWENo209 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm812,500$270,833$81,250$27,083$No812,500$--------40,000$--------No--------
Mitchell StephensCHICAGO UNDERTAKERS (CHI)C291997-02-05CANNo211 Lbs6 ft1NoNoN/ANoNo12025-06-30FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Morgan GeekieCHICAGO UNDERTAKERS (CHI)C/RW271998-07-20CANNo195 Lbs6 ft3NoNoN/ANoNo12025-06-30FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Nils LundkvistCHICAGO UNDERTAKERS (CHI)D252000-07-27SWENo191 Lbs6 ft2NoNoTrade2024-02-09NoNo1FalseFalsePro & Farm650,000$216,667$65,000$21,667$No---------------------------
Noel FransénCHICAGO UNDERTAKERS (CHI)D192006-06-01SWEYes100 Lbs4 ft0NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Oliver BjorkstrandCHICAGO UNDERTAKERS (CHI)LW/RW311995-04-10DENNo194 Lbs6 ft0NoNoTrade2025-01-29NoNo22026-01-21FalseFalsePro & Farm800,000$266,667$80,000$26,667$No800,000$--------40,000$--------No--------
Olli MaattaCHICAGO UNDERTAKERS (CHI)D311994-08-22FINNo229 Lbs6 ft4NoNoAssign ManuallyNoNo12024-06-22FalseFalsePro & Farm1,625,000$541,667$162,500$54,167$No---------------------------
Ondrej BecherCHICAGO UNDERTAKERS (CHI)C192006-06-01CANYes180 Lbs6 ft0NoNoAssign ManuallyNoNo32025-07-20FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Rasmus AsplundCHICAGO UNDERTAKERS (CHI)C/LW/RW281997-12-03SWENo200 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-13FalseFalsePro & Farm1,775,000$591,667$177,500$59,167$No---------------------------
Riley SheahanCHICAGO UNDERTAKERS (CHI)C341991-08-08CANNo224 Lbs6 ft2NoNoN/ANoNo12024-06-15FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
Roman SchmidtCHICAGO UNDERTAKERS (CHI)D222003-06-01USAYes210 Lbs6 ft6NoNoN/ANoNo32025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Tomas TatarCHICAGO UNDERTAKERS (CHI)LW/RW351990-12-01SVKNo203 Lbs5 ft11NoNoTrade2025-12-01NoNo12026-04-08FalseFalsePro & Farm920,000$306,667$92,000$30,667$No---------------------------
Ville HussoCHICAGO UNDERTAKERS (CHI)G311995-02-06FINNo200 Lbs6 ft2NoNoN/ANoNo12024-06-16FalseFalsePro & Farm750,000$250,000$75,000$25,000$No---------------------------
William CarrierCHICAGO UNDERTAKERS (CHI)LW311994-12-20CANNo219 Lbs6 ft2NoNoN/ANoNo12025-06-14FalseFalsePro & Farm600,000$200,000$60,000$20,000$No---------------------------
William StrömgrenCHICAGO UNDERTAKERS (CHI)LW222003-06-01SWEYes189 Lbs6 ft5NoNoTrade2025-11-27NoNo32025-06-16FalseFalsePro & Farm600,000$200,000$60,000$20,000$No600,000$600,000$-------40,000$40,000$-------NoNo-------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3528.51204 Lbs6 ft11.63788,071$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandRasmus AsplundTomas Tatar40122
2Martin FrkCharlie CoyleKeegan Kolesar30122
3William StrömgrenMorgan GeekieAJ Greer20122
4William CarrierMikael BacklundMitchell Stephens10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaBrady Skjei40122
2Josh MahuraNils Lundkvist30122
3Chris TanevKevin Bahl20122
4Olli MaattaBrady Skjei10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Oliver BjorkstrandRasmus AsplundTomas Tatar60122
2Martin FrkKeegan KolesarCharlie Coyle40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaBrady Skjei60122
2Morgan GeekieNils Lundkvist40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikael BacklundMitchell Stephens60122
2Morgan GeekieAJ Greer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris TanevJosh Mahura60122
2Kevin BahlOlli Maatta40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rasmus Asplund60122Josh MahuraBrady Skjei60122
2Charlie Coyle40122Chris TanevNils Lundkvist40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan GeekieWilliam Strömgren60122
2Mitchell StephensAJ Greer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Olli MaattaBrady Skjei60122
2Kevin BahlNils Lundkvist40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Oliver BjorkstrandRasmus AsplundTomas TatarOlli MaattaBrady Skjei
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin FrkCharlie CoyleKeegan KolesarJosh MahuraKevin Bahl
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Morgan Geekie, William Strömgren, William CarrierMorgan Geekie, William StrömgrenWilliam Carrier
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Bahl, Chris Tanev, Josh MahuraKevin BahlChris Tanev, Josh Mahura
Tirs de pénalité
Oliver Bjorkstrand, Rasmus Asplund, Tomas Tatar, Keegan Kolesar, Charlie Coyle
Gardien
#1 : Ilya Sorokin, #2 : Ville Husso
Lignes d’attaque personnalisées en prolongation
Rasmus Asplund, Oliver Bjorkstrand, Charlie Coyle, Keegan Kolesar, Morgan Geekie, Tomas Tatar, William Strömgren, AJ Greer, Martin Frk,
Lignes de défense personnalisées en prolongation
Olli Maatta, Brady Skjei, Nils Lundkvist, Josh Mahura, Kevin Bahl


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
1DETROIT STEELERS64200000201373210000013673210000077080.6672031510015910120911915411519164523314313646.15%10280.00%012829543.39%12525050.00%9118050.56%268159253110220105
2PHILADELPHIA PHANTOMS624000001520-5312000001110131200000410-640.333152843001591011981191541151919967161298225.00%8187.50%012829543.39%12525050.00%9118050.56%268159253110220105
Total126600000353326330000024168633000001117-6120.50035599400159101407119154115193631194927221838.10%18383.33%012829543.39%12525050.00%9118050.56%268159253110220105
_Since Last GM Reset126600000353326330000024168633000001117-6120.50035599400159101407119154115193631194927221838.10%18383.33%012829543.39%12525050.00%9118050.56%268159253110220105
_Vs Conference126600000353326330000024168633000001117-6120.50035599400159101407119154115193631194927221838.10%18383.33%012829543.39%12525050.00%9118050.56%268159253110220105
_Vs Division126600000353326330000024168633000001117-6120.50035599400159101407119154115193631194927221838.10%18383.33%012829543.39%12525050.00%9118050.56%268159253110220105

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1212L33559944073631194927200
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
126600003533
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
63300002416
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300001117
Derniers 10 matchs
WLOTWOTL SOWSOL
460000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
21838.10%18383.33%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
11915411519159101
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
12829543.39%12525050.00%9118050.56%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
268159253110220105


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
13CHICAGO UNDERTAKERS3DETROIT STEELERS2WSommaire du match
311CHICAGO UNDERTAKERS3DETROIT STEELERS1WSommaire du match
519DETROIT STEELERS2CHICAGO UNDERTAKERS4WSommaire du match
727DETROIT STEELERS3CHICAGO UNDERTAKERS1LSommaire du match
935CHICAGO UNDERTAKERS1DETROIT STEELERS4LSommaire du match
1143DETROIT STEELERS1CHICAGO UNDERTAKERS8WSommaire du match
1557CHICAGO UNDERTAKERS2PHILADELPHIA PHANTOMS1WXSommaire du match
1761CHICAGO UNDERTAKERS1PHILADELPHIA PHANTOMS5LSommaire du match
1965PHILADELPHIA PHANTOMS1CHICAGO UNDERTAKERS6WSommaire du match
2169PHILADELPHIA PHANTOMS3CHICAGO UNDERTAKERS2LSommaire du match
2373CHICAGO UNDERTAKERS1PHILADELPHIA PHANTOMS4LSommaire du match
2577PHILADELPHIA PHANTOMS6CHICAGO UNDERTAKERS3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets5030
Assistance14,0958,438
Assistance PCT78.31%70.32%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 3756 - 75.11% 159,648$957,890$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,758,250$ 2,758,250$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 35 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 14 0$ 0$




CHICAGO UNDERTAKERS 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

CHICAGO UNDERTAKERS 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

CHICAGO UNDERTAKERS 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

CHICAGO UNDERTAKERS 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

CHICAGO UNDERTAKERS 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