Abbotsford Heat

GP: 5 | W: 1 | L: 4 | OTL: 0 | P: 2
GF: 10 | GA: 21 | PP%: 11.11% | PK%: 75.68%
DG: Martin Thibault | Morale : 57 | Moyenne d'Équipe : N/A
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Andy AndreoffX100.0091505773755662636356555650575818200
2Teddy Blueger (R)X100.0073686562686663577160506250505015300
3Mario Lucia (R)XX100.0059766461765962595056586555505017600
4Henri IkonenX100.0067667264667464505050506050505018200
5Dmytro Timashov (R)X100.0067677067676765555050576154505015700
6Nick PaulX100.0086757866757368597456586655505018100
7Juho Lammikko (R)X100.0059767164766866506350516350505015300
8Colin SmithX100.0063636466637368617661566153505018200
9Michael MerschX100.0069737569736865635057646461505017000
10Barclay GoodrowXXX100.0085797672797878655057676964707016000
11Curtis LazarXX100.0090509883715366525058566450616217200
12Frank CorradoX100.0058706369705965542555506450525315400
13Sena AcolatseX100.0053765362766869502553505750505018200
Rayé
1Reid Gardiner (R)XX99.4355696261695862515050516250505017000
MOYENNE D'ÉQUIPE99.937068696772666656535555625353531700
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Craig Ramsay56405556967162CAN651500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Nick PaulAbbotsford Heat (Cal)C5224-3180715193710.53%110621.361128240000230055.41%14800000.7500000001
2Andy AndreoffAbbotsford Heat (Cal)C5303240910134423.08%16913.9200000000081062.07%5800000.8600000001
3Henri IkonenAbbotsford Heat (Cal)LW5033240035170.00%16513.14000020000000100.00%400000.9100000000
4Carl DahlstromCalgary FlamesD4123-2608751220.00%37719.3711242100000000.00%000000.7700000000
5Michael MerschAbbotsford Heat (Cal)LW5213-320371161118.18%38416.81101317000090037.50%800000.7100000010
6Curtis LazarAbbotsford Heat (Cal)LW/RW503324021114390.00%26012.1600000000000050.00%200000.9900000000
7Colin SmithAbbotsford Heat (Cal)LW5022-2006128550.00%17515.06011317000000061.80%8900000.5300000000
8Barclay GoodrowAbbotsford Heat (Cal)C/LW/RW5112-220177206185.00%08517.04011726000000166.67%300000.4700000100
9Sena AcolatseAbbotsford Heat (Cal)D5112-228011130233.33%39118.2600021300001000.00%000000.4400000000
10Mario LuciaAbbotsford Heat (Cal)C/LW5011-240253010.00%1428.5401105000080038.89%1800000.4700000000
11Frank CorradoAbbotsford Heat (Cal)D5011-1401033020.00%45511.1100031200004000.00%000000.3600000000
12Juho LammikkoAbbotsford Heat (Cal)C5000-4003119140.00%29218.47000000000180056.25%3200000.0000000000
13Reid GardinerAbbotsford Heat (Cal)C/LW2000000120000.00%02010.300000700000000.00%100000.0000000000
Stats d'équipe Total ou en Moyenne61101727-15760799411330728.85%2292715.20358301480000731157.30%36300000.5800000112
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Andy AndreoffAbbotsford Heat (Cal)C251991-05-16No207 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Barclay GoodrowAbbotsford Heat (Cal)C/LW/RW231993-02-26No215 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
Colin SmithAbbotsford Heat (Cal)LW231993-06-19No175 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm500,000$0$0$No500,000$
Curtis LazarAbbotsford Heat (Cal)LW/RW211995-02-02No196 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm900,000$0$0$No900,000$
Dmytro TimashovAbbotsford Heat (Cal)LW201996-09-30Yes192 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Frank CorradoAbbotsford Heat (Cal)D231993-03-26No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Henri IkonenAbbotsford Heat (Cal)LW221994-04-17No184 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm300,000$0$0$No300,000$
Juho LammikkoAbbotsford Heat (Cal)C201996-01-28Yes203 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Mario LuciaAbbotsford Heat (Cal)C/LW231993-08-24Yes201 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
Michael MerschAbbotsford Heat (Cal)LW241992-10-01No198 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Nick PaulAbbotsford Heat (Cal)C211995-03-20No203 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$
Reid GardinerAbbotsford Heat (Cal)C/LW201996-01-18Yes193 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$No300,000$300,000$300,000$
Sena AcolatseAbbotsford Heat (Cal)D261990-11-28No210 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$0$0$No
Teddy BluegerAbbotsford Heat (Cal)C221994-08-14Yes185 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1422.36197 Lbs6 ft02.57414,286$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay GoodrowColin SmithJuho Lammikko40113
2Michael MerschNick Paul35113
3Henri IkonenAndy AndreoffCurtis Lazar15221
4Juho LammikkoMario Lucia10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
2Sena Acolatse40122
3Frank Corrado10122
4Sena Acolatse10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay GoodrowNick Paul60122
2Michael MerschColin Smith40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Sena AcolatseFrank Corrado40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Nick Paul60122
2Michael MerschAndy Andreoff40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Sena AcolatseFrank Corrado40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Paul6012260122
240122Sena AcolatseFrank Corrado40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick Paul60122
2Michael MerschAndy Andreoff40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
2Sena Acolatse40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschColin SmithJuho Lammikko
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mario LuciaNick PaulJuho Lammikko
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mario Lucia, Henri Ikonen, Juho LammikkoMario Lucia, Henri IkonenJuho Lammikko
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sena Acolatse, , Sena AcolatseFrank Corrado,
Tirs de Pénalité
Nick Paul, , Michael Mersch, Andy Andreoff, Mario Lucia
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Rochester Americans514000001021-112020000038-531200000713-620.200101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
Total514000001021-112020000038-531200000713-620.200101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
_Since Last GM Reset514000001021-112020000038-531200000713-620.200101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
_Vs Conference514000001021-112020000038-531200000713-620.200101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
52L410182811511729789100
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
51400001021
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000038
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3120000713
Derniers 10 Matchs
WLOTWOTL SOWSOL
140000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
27311.11%37975.68%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
38393804240
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
8815855.70%7613655.88%487762.34%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
10874131396026


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien
2 - 2018-04-087Abbotsford Heat5Rochester Americans4WSommaire du Match
4 - 2018-04-1015Abbotsford Heat1Rochester Americans3LSommaire du Match
6 - 2018-04-1223Rochester Americans3Abbotsford Heat1LSommaire du Match
8 - 2018-04-1431Rochester Americans5Abbotsford Heat2LSommaire du Match
10 - 2018-04-1639Abbotsford Heat1Rochester Americans6LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 58,000$ 40,940$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 13 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
12514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026
Total Séries514000001021-112020000038-531200000713-62101828004240115383938011729789127311.11%37975.68%08815855.70%7613655.88%487762.34%10874131396026