Connexion

Apsos
GP: 57 | W: 32 | L: 15 | OTL: 10 | P: 74
GF: 165 | GA: 140 | PP%: 22.36% | PK%: 82.74%
DG: Simon Orrell | Morale : 90 | Moyenne d’équipe : 79
Prochains matchs #629 vs Shitbirds
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Centre de jeu
Apsos
32-15-10, 74pts
2
FINAL
3 Oilers
25-25-7, 57pts
Team Stats
L1StreakL1
13-11-5Home Record14-11-3
19-4-5Away Record11-14-4
4-4-2Last 10 Games5-5-0
2.89Buts par match 2.56
2.46Buts contre par match 2.47
22.36%Pourcentage en avantage numérique18.00%
82.74%Pourcentage en désavantage numérique88.36%
Fletushkas
29-19-10, 68pts
5
FINAL
1 Apsos
32-15-10, 74pts
Team Stats
W1StreakL1
21-6-1Home Record13-11-5
8-13-9Away Record19-4-5
6-3-1Last 10 Games4-4-2
2.86Buts par match 2.89
2.74Buts contre par match 2.46
18.18%Pourcentage en avantage numérique22.36%
80.14%Pourcentage en désavantage numérique82.74%
Apsos
32-15-10, 74pts
2023-11-04
Shitbirds
32-21-4, 68pts
Statistiques d’équipe
L1SéquenceL1
13-11-5Fiche domicile13-12-3
19-4-5Fiche visiteur19-9-1
4-4-210 derniers matchs7-3-0
2.89Buts par match 2.95
2.46Buts contre par match 2.95
22.36%Pourcentage en avantage numérique25.88%
82.74%Pourcentage en désavantage numérique78.23%
Apsos
32-15-10, 74pts
2023-11-04
Chiefs
31-22-5, 67pts
Statistiques d’équipe
L1SéquenceL2
13-11-5Fiche domicile16-8-4
19-4-5Fiche visiteur15-14-1
4-4-210 derniers matchs4-6-0
2.89Buts par match 2.59
2.46Buts contre par match 2.59
22.36%Pourcentage en avantage numérique13.29%
82.74%Pourcentage en désavantage numérique84.40%
Mongoloids
17-29-11, 45pts
2023-11-05
Apsos
32-15-10, 74pts
Statistiques d’équipe
SOL1SéquenceL1
10-13-5Fiche domicile13-11-5
7-16-6Fiche visiteur19-4-5
3-5-210 derniers matchs4-4-2
2.09Buts par match 2.89
3.07Buts contre par match 2.89
15.67%Pourcentage en avantage numérique22.36%
76.78%Pourcentage en désavantage numérique82.74%
Meneurs d'équipe
Pavel BuchnevichButs
Pavel Buchnevich
24
Pavel BuchnevichPasses
Pavel Buchnevich
35
Pavel BuchnevichPoints
Pavel Buchnevich
59
Joel Eriksson EkPlus/Moins
Joel Eriksson Ek
11
Alexandar GeorgievVictoires
Alexandar Georgiev
32
Alexandar GeorgievPourcentage d’arrêts
Alexandar Georgiev
0.924

Statistiques d’équipe
Buts pour
165
2.89 GFG
Tirs pour
1783
31.28 Avg
Pourcentage en avantage numérique
22.4%
36 GF
Début de zone offensive
39.2%
Buts contre
140
2.46 GAA
Tirs contre
1780
31.23 Avg
Pourcentage en désavantage numérique
82.7%%
29 GA
Début de la zone défensive
42.0%
Informations de l'équipe

Directeur généralSimon Orrell
DivisionJagr
ConférenceWales
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

NomYak Dome
Capacité18,000
Assistance13,902
Billets de saison7,200


Informations de la formation

Équipe Pro23
Équipe Mineure14
Limite contact 37 / 99
Espoirs11


Plafond salarial

Cap Salarial de la Saison estimé93,120,008$
Plafond salarial disponible28,879,992$
Valeur du plafond salarial spécial0$
Joueurs Inclus dans le plafond salarial23


Finance

Revenu annuel à ce jour40,917,401$
Dépenses annuelles à ce jour60,577,198$
Revenus de la saison estimés16,931,338$
Dépenses de la saison estimées31,039,556$
Compte bancaire actuel181,702,747$
Compte bancaire projeté167,085,261$


Historique d'équipe

Saison actuelle32-15-10 (74PTS)
Historique105-71-16 (0.547%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)14-18
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
1Pavel BuchnevichXX100.0073438386748185844888887675686985908702825,800,000$
2Chris KreiderXX100.0081458991807997914368917563798084908403246,500,000$
3Moxie ManslammerXX100.009043558580858085858580827550501908302988,500,000$
4Joel Eriksson EkX100.0080458384778195908782808375687083908002765,250,000$
5Nick BjugstadXX100.0087468678837485678562738271727375947903122,100,000$
6Evgeny KuznetsovX100.0065428088737897798384687085768074907803127,800,000$
7Jakub VranaX100.0067428786716856753465906253666677907802815,250,000$
8Phillip DanaultX100.0075547884747898779681737753717377907803145,500,000$
9Mike HoffmanXX100.0063418780707384815575726339747573917603414,500,000$
10Kasperi KapanenXX100.0080449190716690694074747125687075907502713,200,000$
11Jamie OleksiakX100.0082907777957890612555539525717168908703134,600,000$
12Adam LarssonX100.0092578379788999602564508625787968908303124,000,000$
13Dmitry KulikovX100.0079448578727891602554489225828466908003311,000,000$
14Jack JohnsonX100.007945897481789658254647886188896390790371775,000$
15Marcus PetterssonX100.0085657681698187602566478425676966907902724,025,175$
16Gustav ForslingX100.0071428579688894702566608925676873907802712,666,667$
17TJ Brodie (R)X100.0071439182698374592555488825818464907703325,000,000$
18Matt RoyX100.0080449180747792612555518475656666907702913,150,000$
Rayé
1Brett HowdenXXX100.0085567280756568596661607525656566907402521,900,000$
2Ryan DonatoXXX100.0075578183705989644664726861666671876902722,000,000$
Équipe Mineure
1Cody GlassXX100.0071439084726890778174716675606173907502422,500,000$
2Shane Pinto (R)X100.0073449284767362778764756825565673907302311,325,000$
3Benoit-Olivier GroulxX100.007573816773747862785861645845456490700241775,000$
4Jesse Ylonen (R)X100.006341996669658868447270657547477190700241775,000$
5Tyson JostXX100.0073578585686593586470597575687168917002612,000,000$
6Jakub Lauko (R)XX100.008474856767527355266170742546466990680232787,500$
7Samuel Poulin (R)XX100.007975876375606352653862645944446090680232863,333$
8Tyler Angle (R)XX100.007062876362798654684856605344446090660231850,833$
9Alex Beaucage (R)XX100.007472796772656952504951614844445790660223935,000$
10Justin Barron (R)X100.007844857775707465256250702548486390710221925,000$
11Alec RegulaX100.007477667077677152254742624046465590680231775,000$
12Reilly Walsh (R)X100.007166846766808755255145604344445790660241775,000$
13Donovan Sebrango (R)X100.007469856369646946253443604144445290650221850,833$
14Ryan O'Rourke (R)X100.007365916665697645253639593744445190640213894,167$
MOYENNE D’ÉQUIPE100.00784982827577877148686680497172699079
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
1Alexandar Georgiev100.008877756789888888878888626386908502823,400,000$
2Connor Ingram (R)100.007272687676688071777268464773907402631,950,000$
Rayé
1Kaapo Kahkonen100.006366658165606960656343565664906602712,750,000$
Équipe Mineure
MOYENNE D’ÉQUIPE100.0074726975777279737674665555749075
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Pavel BuchnevichApsosLW/RW57243559-16051108261941749.20%15139624.50591430128000044147.15%123165000.8415000494
2Moxie ManslammerApsosC/LW5518325015201381391504712712.00%16111320.25313162412700051314152.64%138185000.9023000523
3Joel Eriksson EkApsosC571831491116088152202741458.91%16113219.8778153412710141084254.96%1250104000.8701000254
4Chris KreiderApsosLW/RW5723214444034982258018610.22%3111819.6367133913301131035030.67%7583000.7903000073
5Jakub VranaApsosLW571419339402848158531178.86%792916.30291128123000043135.71%5674000.7100000412
6Phillip DanaultApsosC57820288300659812141876.61%988015.45000214101131058.33%87652000.6400000301
7Nick BjugstadApsosC/RW571412269435133801263410011.11%26135623.801342011900021291053.16%15847100.3800100312
8Dmitry KulikovApsosD577182511220786858214112.07%61105018.43246211140000117100.00%005100.4800000212
9Jamie OleksiakApsosD56517221451571496925487.25%91111919.99549301370001135100.00%007000.3900111002
10Gustav ForslingApsosD57317206100315029111410.34%5081314.2800028000148200.00%014000.4900000210
11Adam LarssonApsosD5741317-444094557819395.13%50117020.54426421440002137110.00%0213000.2900000000
12Mike HoffmanApsosLW/RW57691584024479833606.12%882314.44000160001680028.38%7494000.3600000010
13Jack JohnsonApsosD575101511140633837163113.51%43105518.52134151140001121020.00%0119000.2800000011
14Evgeny KuznetsovApsosC57571240030355819408.62%74728.29011260002140151.70%44132000.5114000112
15Marcus PetterssonApsosD5317884958230214124.76%3469513.120000000001100.00%0110000.2300010010
16Kasperi KapanenApsosLW/RW2734726026343712378.11%334112.6300001000020247.37%1920000.4100000101
17Matt RoyApsosD5715641003926117159.09%194708.260000000000000.00%012000.2500000000
18TJ BrodieApsosD5705551001737139110.00%345128.9901107011013000.00%003000.2000000000
19Brett HowdenApsosC/LW/RW36314417534142981910.34%244812.4700002000001052.94%3412000.1800001011
20Ryan DonatoApsosC/LW/RW11011001220250.00%01111.1800000000001046.67%1500001.7900000000
Statistiques d’équipe totales ou en moyenne10261632834461023863011271208178360713059.14%4941691416.4936641002901318224231147301153.15%450279101200.53416222273228
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
1Alexandar GeorgievApsos563214100.9242.343390651321748194200.73315561845
2Connor IngramApsos10100.8445.0060005320000.00%0156000
Statistiques d’équipe totales ou en moyenne573215100.9232.38345065137178019420155757845


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 moyenSalaire moyen 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 10Link
Adam LarssonApsosD311992-11-11No208 Lbs6 ft3NoNoNo2Pro & Farm4,000,000$1,355,191$4,000,000$1,355,191$4,000,000$1,355,191$No4,000,000$Lien / Lien NHL
Alexandar GeorgievApsosG281996-02-10No178 Lbs6 ft1NoNoNo2Pro & Farm3,400,000$1,151,913$3,400,000$1,151,913$3,400,000$1,151,913$No3,400,000$Lien / Lien NHL
Brett HowdenApsosC/LW/RW251998-03-28No197 Lbs6 ft3NoNoNo2Pro & Farm1,900,000$643,716$1,900,000$643,716$1,900,000$643,716$No1,900,000$Lien
Chris KreiderApsosLW/RW321991-04-29No217 Lbs6 ft3NoNoNo4Pro & Farm6,500,000$2,202,186$6,500,000$2,202,186$6,500,000$2,202,186$No6,500,000$6,500,000$6,500,000$Lien / Lien NHL
Connor IngramApsosG261997-03-30Yes212 Lbs6 ft0NoNoNo3Pro & Farm1,950,000$660,656$1,950,000$660,656$1,950,000$660,656$No1,950,000$1,950,000$Lien / Lien NHL
Dmitry KulikovApsosD331990-10-29No199 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$338,798$1,000,000$338,798$1,000,000$338,798$NoLien / Lien NHL
Evgeny Kuznetsov (contrat à 1 volet)ApsosC311992-05-19No197 Lbs6 ft2NoNoNo2Pro & Farm7,800,000$2,642,623$7,800,000$2,642,623$7,800,000$2,642,623$No7,800,000$Lien / Lien NHL
Gustav ForslingApsosD271996-06-12No186 Lbs6 ft0NoNoNo1Pro & Farm2,666,667$903,461$2,666,667$903,461$2,666,667$903,461$NoLien / Lien NHL
Jack JohnsonApsosD371987-01-13No227 Lbs6 ft1NoNoNo1Pro & Farm775,000$262,568$775,000$262,568$775,000$262,568$NoLien / Lien NHL
Jakub VranaApsosLW281996-02-28No195 Lbs6 ft0NoNoNo1Pro & Farm5,250,000$1,778,689$5,250,000$1,778,689$5,250,000$1,778,689$NoLien / Lien NHL
Jamie OleksiakApsosD311992-12-21No255 Lbs6 ft7NoNoNo3Pro & Farm4,600,000$1,558,470$4,600,000$1,558,470$4,600,000$1,558,470$No4,600,000$4,600,000$Lien / Lien NHL
Joel Eriksson EkApsosC271997-01-29No210 Lbs6 ft1NoNoNo6Pro & Farm5,250,000$1,778,689$5,250,000$1,778,689$5,250,000$1,778,689$No5,250,000$5,250,000$5,250,000$5,250,000$5,250,000$Lien / Lien NHL
Kaapo KahkonenApsosG271996-08-16No215 Lbs6 ft2NoNoNo1Pro & Farm2,750,000$931,694$2,750,000$931,694$2,750,000$931,694$NoLien
Kasperi KapanenApsosLW/RW271996-07-23No194 Lbs6 ft1NoNoNo1Pro & Farm3,200,000$1,084,153$3,200,000$1,084,153$3,200,000$1,084,153$NoLien / Lien NHL
Marcus PetterssonApsosD271996-05-08No177 Lbs6 ft3NoNoNo2Pro & Farm4,025,175$1,363,720$4,025,175$1,363,720$4,025,175$1,363,720$No4,025,175$Lien / Lien NHL
Matt RoyApsosD291995-03-01No200 Lbs6 ft1NoNoNo1Pro & Farm3,150,000$1,067,213$3,150,000$1,067,213$3,150,000$1,067,213$NoLien
Mike HoffmanApsosLW/RW341989-11-24No190 Lbs6 ft0NoNoNo1Pro & Farm4,500,000$1,524,590$4,500,000$1,524,590$4,500,000$1,524,590$NoLien / Lien NHL
Moxie ManslammerApsosC/LW291994-12-07No205 Lbs6 ft2NoNoNo8Pro & Farm8,500,000$2,879,781$8,500,000$2,879,781$8,500,000$2,879,781$No8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$8,500,000$Lien
Nick BjugstadApsosC/RW311992-07-17No215 Lbs6 ft6NoNoNo2Pro & Farm2,100,000$711,475$2,100,000$711,475$2,100,000$711,475$No2,100,000$Lien / Lien NHL
Pavel BuchnevichApsosLW/RW281995-04-17No197 Lbs6 ft3NoNoNo2Pro & Farm5,800,000$1,965,027$5,800,000$1,965,027$5,800,000$1,965,027$No5,800,000$Lien / Lien NHL
Phillip DanaultApsosC311993-02-24No201 Lbs6 ft1NoNoNo4Pro & Farm5,500,000$1,863,388$5,500,000$1,863,388$5,500,000$1,863,388$No5,500,000$5,500,000$5,500,000$Lien / Lien NHL
Ryan DonatoApsosC/LW/RW271996-04-09No192 Lbs6 ft0NoNoNo2Pro & Farm2,000,000$677,596$2,000,000$677,596$2,000,000$677,596$No2,000,000$Lien / Lien NHL
TJ BrodieApsosD331990-07-06Yes185 Lbs6 ft1NoNoNo2Pro & Farm5,000,000$1,693,989$5,000,000$1,693,989$5,000,000$1,693,989$No5,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2329.52202 Lbs6 ft22.353,983,341$

Somme salaire 1e année Somme salaire 2e année Somme salaire 3e année Somme salaire 4e année Somme salaire 5e année
91,616,842$68,325,175$32,300,000$25,750,000$13,750,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel BuchnevichMoxie ManslammerChris Kreider30122
2Jakub VranaJoel Eriksson EkNick Bjugstad28122
3Mike HoffmanPhillip DanaultKasperi Kapanen26122
4Pavel BuchnevichEvgeny KuznetsovNick Bjugstad16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakAdam Larsson30122
2Dmitry KulikovJack Johnson28122
3Marcus PetterssonGustav Forsling26122
4TJ BrodieMatt Roy16122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Pavel BuchnevichMoxie ManslammerChris Kreider55122
2Jakub VranaJoel Eriksson EkNick Bjugstad45122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakAdam Larsson55122
2Dmitry KulikovJack Johnson45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Moxie ManslammerNick Bjugstad55122
2Joel Eriksson EkChris Kreider45122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakAdam Larsson55122
2Dmitry KulikovJack Johnson45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joel Eriksson Ek55122Jamie OleksiakAdam Larsson55122
2Moxie Manslammer45122Dmitry KulikovJack Johnson45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Moxie ManslammerPavel Buchnevich55122
2Joel Eriksson EkChris Kreider45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jamie OleksiakAdam Larsson55122
2Dmitry KulikovJack Johnson45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Chris KreiderMoxie ManslammerPavel BuchnevichJamie OleksiakAdam Larsson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nick BjugstadMoxie ManslammerJoel Eriksson EkJamie OleksiakAdam Larsson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joel Eriksson Ek, Phillip Danault, Mike HoffmanJoel Eriksson Ek, Phillip DanaultMike Hoffman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Larsson, Gustav Forsling, Jamie OleksiakTJ BrodieGustav Forsling, Adam Larsson
Tirs de pénalité
Pavel Buchnevich, Moxie Manslammer, Evgeny Kuznetsov, Joel Eriksson Ek, Nick Bjugstad
Gardien
#1 : Connor Ingram, #2 : Alexandar Georgiev
Lignes d’attaque personnalisées en prolongation
Moxie Manslammer, Pavel Buchnevich, Joel Eriksson Ek, Chris Kreider, Jakub Vrana, Evgeny Kuznetsov, Evgeny Kuznetsov, Nick Bjugstad, Mike Hoffman, Phillip Danault, Kasperi Kapanen
Lignes de défense personnalisées en prolongation
Adam Larsson, Jamie Oleksiak, Dmitry Kulikov, Gustav Forsling, Jack Johnson


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
1Aces1010000045-11010000045-10000000000000.00048120012103213127046148183133.33%4175.00%0957174254.94%992186753.13%44483453.24%2417217147
2Bunnies31100100910-11000010045-12110000055030.50091423003420108453725110123186010110.00%9366.67%0957174254.94%992186753.13%44483453.24%674266254724
3Chiefs11000000321110000003210000000000021.0003580020102669110206426300.00%2150.00%0957174254.94%992186753.13%44483453.24%2416226136
4Crazy Nastyass Badgers22000000927220000009270000000000041.00091524015220752825220662383412433.33%40100.00%0957174254.94%992186753.13%44483453.24%513744142312
5Cunts623010001314-141300000812-42100100052360.500132437016421187695956315540391152129.52%15193.33%0957174254.94%992186753.13%44483453.24%148101131458341
6Fletushkas1010000015-41010000015-40000000000000.000123000100321291103291025400.00%40100.00%0957174254.94%992186753.13%44483453.24%2316247125
7Flyers210001006601000010023-11100000043130.75061117002220641621270671713406350.00%40100.00%0957174254.94%992186753.13%44483453.24%483447142412
8Fucksticks210000012201000000112-11100000010130.750246010110451314165632810353133.33%50100.00%0957174254.94%992186753.13%44483453.24%443054142612
9Gladiators11000000211000000000001100000021121.00024600011026691102410413100.00%2150.00%0957174254.94%992186753.13%44483453.24%2316237126
10Jets8500110129181144000000155104100110114131140.87529518001813722357079819239616215922731.82%29679.31%0957174254.94%992186753.13%44483453.24%1811221986111152
11Mariners1000010034-1000000000001000010034-110.50035800003027108904281625200.00%8275.00%1957174254.94%992186753.13%44483453.24%2113268126
12Meltdown201000106601010000034-11000001032120.500691500212160161723772131450100.00%70100.00%0957174254.94%992186753.13%44483453.24%493449142612
13Mongoloids21000100954000000000002100010095430.75091726016030833418310551910366233.33%50100.00%0957174254.94%992186753.13%44483453.24%483545142511
14Oilers20001001440100010002111000000123-130.75047110000315411102886725843200.00%4175.00%0957174254.94%992186753.13%44483453.24%422547173518
15Phantoms834001001919031100100770523000001212070.43819335200838028087771151249945315724520.83%22481.82%0957174254.94%992186753.13%44483453.24%1731121906311859
16Shitbirds944000102624240400000914-55400001017107100.556264268009106226781967815287658215323730.43%30776.67%0957174254.94%992186753.13%44483453.24%1971292167013164
17Trash Pandas330000001064220000008531100000021161.00010152500334090233532096148739111.11%4175.00%0957174254.94%992186753.13%44483453.24%694566214423
18Warheads21000100862210001008620000000000030.75081321005030632418210641914446116.67%7185.71%1957174254.94%992186753.13%44483453.24%493345142814
19Wuhan Clan11000000211000000000001100000021121.0002460001102913106035611213133.33%30100.00%0957174254.94%992186753.13%44483453.24%2212209178
Total572715037231651402529121101401847862815402322816219740.649165283448056048527178357756361049178049439211271613622.36%1682982.74%2957174254.94%992186753.13%44483453.24%13108771341439808401
_Since Last GM Reset572715037231651402529121101401847862815402322816219740.649165283448056048527178357756361049178049439211271613622.36%1682982.74%2957174254.94%992186753.13%44483453.24%13108771341439808401
_Vs Conference43221302312123101222210900201655782112402111584414550.64012321033304434334513454354434433413263722928171282922.66%1242480.65%0957174254.94%992186753.13%44483453.24%9816551012332612305
_Vs Division3114110221187751215680010039381168302111483711370.5978715023702313023596930731133028930260236584902123.33%961881.25%0957174254.94%992186753.13%44483453.24%701465736241443218

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5774L116528344817831780494392112705
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5727153723165140
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
29121114018478
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2815423228162
Derniers 10 matchs
WLOTWOTL SOWSOL
241111
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1613622.36%1682982.74%2
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
577563610496048527
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
957174254.94%992186753.13%44483453.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
13108771341439808401


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 - 2023-10-151Phantoms1Apsos4BWSommaire du match
3 - 2023-10-1513Apsos1Phantoms2ALSommaire du match
4 - 2023-10-1521Apsos2Jets3ALXSommaire du match
5 - 2023-10-1524Apsos2Shitbirds1AWXXSommaire du match
8 - 2023-10-1643Cunts2Apsos1BLSommaire du match
9 - 2023-10-1647Apsos4Shitbirds2AWSommaire du match
13 - 2023-10-1764Shitbirds2Apsos1BLSommaire du match
14 - 2023-10-1770Apsos2Cunts0AWSommaire du match
16 - 2023-10-1776Apsos4Shitbirds3AWSommaire du match
17 - 2023-10-1788Jets0Apsos3BWSommaire du match
19 - 2023-10-18100Apsos4Jets2AWSommaire du match
20 - 2023-10-18103Apsos2Phantoms3ALSommaire du match
21 - 2023-10-18110Shitbirds4Apsos2BLSommaire du match
26 - 2023-10-19132Phantoms3Apsos2BLXSommaire du match
29 - 2023-10-19150Cunts1Apsos3BWSommaire du match
32 - 2023-10-20165Apsos3Shitbirds2AWSommaire du match
33 - 2023-10-20173Jets1Apsos3BWSommaire du match
35 - 2023-10-20184Apsos2Gladiators1AWSommaire du match
37 - 2023-10-21196Jets1Apsos4BWSommaire du match
40 - 2023-10-21209Apsos4Shitbirds2AWSommaire du match
41 - 2023-10-21217Trash Pandas2Apsos4BWSommaire du match
44 - 2023-10-22231Bunnies5Apsos4BLXSommaire du match
46 - 2023-10-22239Apsos3Bunnies1AWSommaire du match
48 - 2023-10-22253Apsos2Trash Pandas1AWSommaire du match
50 - 2023-10-23260Phantoms3Apsos1BLSommaire du match
52 - 2023-10-23274Apsos2Wuhan Clan1AWSommaire du match
54 - 2023-10-23283Oilers1Apsos2BWXSommaire du match
56 - 2023-10-24294Apsos1Fucksticks0AWSommaire du match
57 - 2023-10-24300Apsos4Phantoms3AWSommaire du match
58 - 2023-10-24306Aces5Apsos4BLSommaire du match
61 - 2023-10-25321Apsos1Phantoms2ALSommaire du match
62 - 2023-10-25328Fucksticks2Apsos1BLXXSommaire du match
67 - 2023-10-26350Warheads2Apsos5BWSommaire du match
70 - 2023-10-26367Apsos4Mongoloids5ALXSommaire du match
71 - 2023-10-26372Chiefs2Apsos3BWSommaire du match
73 - 2023-10-27384Apsos3Cunts2AWXSommaire du match
75 - 2023-10-27394Meltdown4Apsos3BLSommaire du match
77 - 2023-10-27404Apsos3Mariners4ALXSommaire du match
79 - 2023-10-28415Crazy Nastyass Badgers0Apsos5BWSommaire du match
83 - 2023-10-28432Apsos3Jets4ALXXSommaire du match
85 - 2023-10-29438Cunts5Apsos3BLSommaire du match
87 - 2023-10-29451Apsos4Flyers3AWSommaire du match
88 - 2023-10-29459Shitbirds5Apsos4BLSommaire du match
92 - 2023-10-30475Warheads4Apsos3BLXSommaire du match
95 - 2023-10-30491Crazy Nastyass Badgers2Apsos4BWSommaire du match
97 - 2023-10-31499Apsos5Mongoloids0AWSommaire du match
100 - 2023-10-31513Jets3Apsos5BWSommaire du match
102 - 2023-10-31523Apsos4Phantoms2AWSommaire du match
104 - 2023-11-01534Apsos3Meltdown2AWXXSommaire du match
106 - 2023-11-01542Cunts4Apsos1BLSommaire du match
109 - 2023-11-02558Trash Pandas3Apsos4BWSommaire du match
111 - 2023-11-02568Apsos5Jets4AWXSommaire du match
114 - 2023-11-02579Flyers3Apsos2BLXSommaire du match
116 - 2023-11-03596Shitbirds3Apsos2BLSommaire du match
117 - 2023-11-03602Apsos2Bunnies4ALSommaire du match
119 - 2023-11-03608Apsos2Oilers3ALXXSommaire du match
121 - 2023-11-04623Fletushkas5Apsos1BLSommaire du match
123 - 2023-11-04629Apsos-Shitbirds-
125 - 2023-11-04637Apsos-Chiefs-
128 - 2023-11-05650Mongoloids-Apsos-
131 - 2023-11-05666Gladiators-Apsos-
133 - 2023-11-06678Apsos-Jets-
136 - 2023-11-06688Apsos-Cunts-
137 - 2023-11-06695Phantoms-Apsos-
140 - 2023-11-07709Apsos-Fucksticks-
142 - 2023-11-07717Apsos-Crazy Nastyass Badgers-
143 - 2023-11-07723Aces-Apsos-
146 - 2023-11-08739Giants-Apsos-
147 - 2023-11-08748Apsos-Giants-
149 - 2023-11-08758Apsos-Cunts-
151 - 2023-11-09766Mariners-Apsos-
153 - 2023-11-09779Apsos-Warheads-
155 - 2023-11-09787Riots-Apsos-
158 - 2023-11-10799Apsos-Aces-
160 - 2023-11-10808Fucksticks-Apsos-
164 - 2023-11-11825Bunnies-Apsos-
165 - 2023-11-11831Apsos-Fletushkas-
169 - 2023-11-12849Apsos-Riots-
170 - 2023-11-12854Apsos-Gladiators-
171 - 2023-11-12858Shitbirds-Apsos-
175 - 2023-11-13876Wuhan Clan-Apsos-
180 - 2023-11-13894Phantoms-Apsos-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité60005000200040001000
Prix des billets100603525200
Assistance132,015109,79345,15687,90328,298
Attendance PCT75.87%75.72%77.86%75.78%97.58%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
12 13902 - 77.23% 1,410,945$40,917,401$18000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineursValeur du plafond salarial spécial
60,577,198$ 91,616,842$ 91,616,842$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourTaxe de luxe totaleJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
91,616,842$ 60,577,198$ 0$ 23 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
16,931,338$ 62 500,638$ 31,039,556$

Total de l’équipe estimé
Dépenses de la saison estimées Compte bancaire actuel Compte bancaire projeté
31,548,824$ 181,702,747$ 167,085,261$
Cap Salarial de la Saison estiméPlafond salarial disponiblePlafond salarial maximumAu dessus du plancher salarial
93,120,008$ 28,879,992$ 122,000,000$ 3,620,008$



Charte de profondeur

Ailier gaucheCentreAilier droit
Pavel BuchnevichAGE:28PO:85OV:87
Chris KreiderAGE:32PO:84OV:84
Moxie ManslammerAGE:29PO:1OV:83
Jakub VranaAGE:28PO:77OV:78
Mike HoffmanAGE:34PO:73OV:76
Kasperi KapanenAGE:27PO:75OV:75
Brett HowdenAGE:25PO:66OV:74
Tyson JostAGE:26PO:68OV:70
Ryan DonatoAGE:27PO:71OV:69
Jakub Lauko (R)AGE:23PO:69OV:68
Samuel Poulin (R)AGE:23PO:60OV:68
Tyler Angle (R)AGE:23PO:60OV:66
Alex Beaucage (R)AGE:22PO:57OV:66
Moxie ManslammerAGE:29PO:1OV:83
Joel Eriksson EkAGE:27PO:83OV:80
Nick BjugstadAGE:31PO:75OV:79
Phillip DanaultAGE:31PO:77OV:78
Evgeny KuznetsovAGE:31PO:74OV:78
Cody GlassAGE:24PO:73OV:75
Brett HowdenAGE:25PO:66OV:74
Shane Pinto (R)AGE:23PO:73OV:73
Tyson JostAGE:26PO:68OV:70
Benoit-Olivier GroulxAGE:24PO:64OV:70
Ryan DonatoAGE:27PO:71OV:69
Jakub Lauko (R)AGE:23PO:69OV:68
Samuel Poulin (R)AGE:23PO:60OV:68
Tyler Angle (R)AGE:23PO:60OV:66
Pavel BuchnevichAGE:28PO:85OV:87
Chris KreiderAGE:32PO:84OV:84
Nick BjugstadAGE:31PO:75OV:79
Mike HoffmanAGE:34PO:73OV:76
Kasperi KapanenAGE:27PO:75OV:75
Cody GlassAGE:24PO:73OV:75
Brett HowdenAGE:25PO:66OV:74
Jesse Ylonen (R)AGE:24PO:71OV:70
Ryan DonatoAGE:27PO:71OV:69
Alex Beaucage (R)AGE:22PO:57OV:66

Défense #1Défense #2Gardien
Jamie OleksiakAGE:31PO:68OV:87
Adam LarssonAGE:31PO:68OV:83
Dmitry KulikovAGE:33PO:66OV:80
Marcus PetterssonAGE:27PO:66OV:79
Jack JohnsonAGE:37PO:63OV:79
Gustav ForslingAGE:27PO:73OV:78
Matt RoyAGE:29PO:66OV:77
TJ Brodie (R)AGE:33PO:64OV:77
Justin Barron (R)AGE:22PO:63OV:71
Alec RegulaAGE:23PO:55OV:68
Reilly Walsh (R)AGE:24PO:57OV:66
Donovan Sebrango (R)AGE:22PO:52OV:65
Ryan O'Rourke (R)AGE:21PO:51OV:64
Alexandar GeorgievAGE:28PO:86OV:85
Connor Ingram (R)AGE:26PO:73OV:74
Kaapo KahkonenAGE:27PO:64OV:66

Espoirs

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
Espoir Nom de l’équipeAnnée de repêchage Choix total Information Lien
Aartu KarkiApsos
Devin KaplanApsos
Dmitriy SimashevApsos
Dylan MacKinnonApsos
Fedor SvechkovApsos
Gavin McCarthyApsos
Maxim BeryozkinApsos
Maxim StrbakApsos
Michael HrabalApsos
Owen BeckApsos
Will SmithApsos

Choix au repêchage

Année R1R2R3R4R5R6
2024LHA LHA LHA LHA LHA
2025LHA LHA LHA LHA LHA LHA
2026LHA LHA LHA LHA LHA LHA
2027LHA LHA LHA LHA LHA LHA
2028LHA LHA LHA LHA LHA LHA






Apsos Historique de transactions

[2023-10-22 11:08:02 AM] - TRADE : From Apsos to Mariners : James van Riemsdyk (75).
[2023-10-21 11:19:01 AM] - Rasmus Asplund was released.
[2023-10-21 11:19:01 AM] - Apsos paid $0 to release Rasmus Asplund.
[2023-10-21 11:17:34 AM] - TRADE : From Apsos to Giants : Chandler Stephenson (80), Barrett Hayton (75), Taylor Raddysh (75), Logan Stankoven (P), Y:2024-RND:1-LHA.
[2023-10-21 11:17:34 AM] - TRADE : From Giants to Apsos : Jakub Vrana (78), Nick Bjugstad (79), Ryan Donato (69).
[2023-10-19 10:44:28 AM] - TRADE : From Giants to Apsos : Alexandar Georgiev (85).
[2023-10-18 2:48:03 PM] - Anthony Mantha was released.
[2023-10-18 2:48:03 PM] - Apsos paid $0 to release Anthony Mantha.
[2023-10-18 2:46:46 PM] - TRADE : From Apsos to Riots : Tyson Barrie (72).
[2023-10-18 2:46:30 PM] - TRADE : From Apsos to Trash Pandas : Jake Allen (69).
[2023-10-18 2:41:36 PM] - TJ Brodie was added to Apsos.
[2023-10-18 2:41:12 PM] - Moxie Manslammer has been deleted from Apsos.
[2023-10-18 2:41:07 PM] - Albin Eriksson has been deleted from Apsos.
[2023-10-18 2:41:04 PM] - Andrei Altybarmakyan has been deleted from Apsos.
[2023-09-26 2:40:31 PM] - TRADE : From Fucksticks to Apsos : Y:2023-RND:4-RIV.
[2023-09-26 2:40:31 PM] - TRADE : From Apsos to Fucksticks : Lukas Dostal (69).
[2023-09-24 8:32:42 AM] - TRADE : From Apsos to Fucksticks : Y:2023-RND:1-LHA.
[2023-09-24 8:32:42 AM] - TRADE : From Fucksticks to Apsos : Y:2023-RND:1-FLE, Y:2023-RND:1-ULA.
[2023-09-24 8:08:56 AM] - Aartu Karki has been added to Apsos.
[2023-09-24 8:08:45 AM] - Gavin McCarthy has been added to Apsos.
[2023-09-24 8:08:40 AM] - Maxim Strbak has been added to Apsos.
[2023-09-24 8:08:28 AM] - Michael Hrabal has been added to Apsos.
[2023-09-24 8:08:22 AM] - Dmitriy Simashev has been added to Apsos.
[2023-09-24 8:08:06 AM] - Will Smith has been added to Apsos.
[2023-09-24 8:08:01 AM] - Dylan MacKinnon has been added to Apsos.
[2023-09-23 11:38:33 AM] - Harley Manhammer was added to Apsos.
[2023-07-04 8:30:12 AM] - Owen Beck was added to Apsos.
[2023-07-04 8:30:12 AM] - Samuel Poulin was added to Apsos.
[2023-07-04 8:30:12 AM] - Shane Pinto was added to Apsos.
[2023-07-04 8:30:12 AM] - Ryan O'Rourke was added to Apsos.
[2023-07-04 8:30:12 AM] - Fedor Svechkov was added to Apsos.



[2024-03-24 12:13:11 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-03-24 12:04:09 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-03-24 11:54:18 AM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-02-11 11:44:18 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-02-04 10:01:23 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-01-28 12:16:44 PM] Apsos lines for next game are empty. Current rosters/lines are not erased.
[2024-01-20 10:11:42 AM] Raiders roster errors : Not enough Players available in Pro Team! 19 Dressed. 20 Required. Some errors will be automatically fixed.
[2024-01-14 11:59:10 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-01-14 11:54:22 AM] Successfully loaded Apsos lines done with Web Base Client and SQLite Database.
[2024-01-07 12:35:05 PM] Jamie Oleksiak from Apsos is back from Bruised Right Shoulder Injury.
[2024-01-07 12:22:45 PM] Moxie Manslammer from Apsos is back from Bruised Left Foot Injury.



Pas de blessure ou de suspension.


Apsos Leaders statistiques (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
1Chris Kreider201788015833902943238339.36%32363118.071112231131121016235.5500.8726
2Pavel Buchnevich201668314915301252647339.00%34393719.5982129110000210441.3800.7615
3Phillip Danault197328011235511544293808.42%42332616.882131111224356.2400.6700
4Harley Manhammer1444961110101284552705289.28%34284119.73101424980111110557.3610.7725
5Joel Eriksson Ek2004059992462223064419.07%46292514.6388163910178253.1000.6801

Apsos 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
1Jake Allen1306550100.9072.817429883483724240430.3339
2Alexandar Georgiev563214100.9242.343390651321748194200.73315
3Connor Ingram104400.9042.9852321262727000.8336
4Lukas Dostal214350.8743.4378721453560200.00%0

Apsos 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
20206230210522219515936311313031109485931178021121017427781953345292675555810205171366066228198761043412571923015.63%1633677.91%21075202753.03%997195750.95%49592353.63%147410051439465837417
2021823435021001252261-941112301501116139-234123120150013612214832524416931410180692285292392198822233676650516362143516.36%2264281.42%11639299154.80%1349249154.15%712131454.19%1952136519555861043515
202357271503723165140252912110140184786281540232281621974165283448056048527178357756361049178049439211271613622.36%1682982.74%2957174254.94%992186753.13%44483453.24%13108771341439808401
Total Saison régulière20191710101946612560521013647051012294302-8100552405934318258602356121058167031523618317919668622132144226099610318701331402056710117.81%55710780.79%53671676054.30%3338631552.86%1651307153.76%473732494736149226901335
Séries éliminatoires
20209450000028262523000001312142200000151418285078018712130194971037286796618224729.17%27677.78%118132455.86%15930053.00%9114164.54%2241572196411658
20209450000028262523000001312142200000151418285078018712130194971037286796618224729.17%27677.78%118132455.86%15930053.00%9114164.54%2241572196411658
2021734000002023-332100000117441300000916-762033530167702296785770244634913322313.64%19478.95%012025447.24%12024848.39%5010348.54%157108177508541
2021734000002023-332100000117441300000916-762033530167702296785770244634913322313.64%19478.95%012025447.24%12024848.39%5010348.54%157108177508541
Total Séries éliminatoires321418000009698-216880000048381016610000004860-1228961662620428283821060322364360141060284230630922021.74%922078.26%2602115652.08%558109650.91%28248857.79%763532792229403198

Apsos Leaders statistiques (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
1Chris Kreider643632683644969625614.06%4113417.720443640448445.8301.2000
2Harley Manhammer6424325683221211217613.64%24124119.4088162800044048.8400.9000
3Phillip Danault64840482448801601286.25%12114117.84088800000050.5300.8400
4Evgeny Kuznetsov6483644-80161121206.67%497215.19020202000000051.0100.9100
5Pavel Buchnevich6420244424162410818810.64%8108216.9204420000012440.9100.8100

Apsos 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
1Jake Allen64283240.9083.0139040819621200400.00%0