Abbotsford Heat

GP: 67 | W: 44 | L: 19 | OTL: 4 | P: 92
GF: 252 | GA: 165 | PP%: 14.39% | PK%: 87.35%
DG: Martin Thibault | Morale : 68 | Moyenne d'Équipe : N/A
Prochain matchs #987 vs Milwaukee Admirals
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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)X100.0073686562686663577160506250505013800
3Mario Lucia (R)XX100.0059766461765962595056586555505017200
4Justin BaileyXX100.0064506384735668515056756550505017300
5Henri IkonenX100.0067667264667464505050506050505018200
6Nick PaulX99.0086757866757368597456586655505017800
7Juho Lammikko (R)X100.0059767164766866506350516350505014900
8Reid Gardiner (R)XX100.0055696261695862515050516250505018100
9Colin SmithX100.0063636466637368617661566153505018100
10Michael MerschX100.0069737569736865635057646461505016700
11Barclay GoodrowXXX100.0085797672797878655057676964707015400
12Curtis LazarXX100.0090509883715366525058566450616216800
13Frank CorradoX100.0058706369705965542555506450525315000
14Carl Dahlstrom (R)X100.0066847261736769502556506550505017200
15Andrew Welinski (R)X100.0061727262726467532559546350505018500
16Sena AcolatseX100.0053765362766869502553505750505018200
17Mirco MuellerX100.0089777166777377512560596550505018100
Rayé
1Dmytro Timashov (R)X94.7267677067676765555050576154505014200
MOYENNE D'ÉQUIPE99.617069696772666755485656635252521690
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
1Chris Driedger100.006077817964656367626231596115900
2Scott Wedgewood100.007068617769668074717231757014200
Rayé
MOYENNE D'ÉQUIPE100.00657371786766727167673167661510
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)C6737549137132102182503280311.28%34143221.389162584322022122566364.77%190200101.2713001935
2Michael MerschAbbotsford Heat (Cal)LW6137508728295501252991312.37%22117119.21919288827501141535256.91%18100021.4911001764
3Andy AndreoffAbbotsford Heat (Cal)C673032622411202231672532111.86%31116217.3573105018720271137260.84%116200021.0701000495
4Henri IkonenAbbotsford Heat (Cal)LW67243559204010611232211410.86%31103415.4522411460000475249.21%6300001.1400110543
5Andrew WelinskiAbbotsford Heat (Cal)D6313435626735123671060112.26%66131720.9171421752590111295400.00%000000.8500100333
6Justin BaileyAbbotsford Heat (Cal)C/LW43222749293005197268118.21%2782819.26461056168123111694164.00%7500031.1802000322
7Reid GardinerAbbotsford Heat (Cal)C/LW63113243261203679149117.38%14110417.53279352550111572060.16%12800000.7800000026
8Mirco MuellerAbbotsford Heat (Cal)D4993443261893519658861210.47%4794719.345813601701012140010.00%000000.9100313222
9Sena AcolatseAbbotsford Heat (Cal)D6762228219410936174208.11%53130719.5135843242000322510100.00%100000.4311101101
10Juho LammikkoAbbotsford Heat (Cal)C371113241945153044970011.34%675420.391452616420231033061.82%16500000.6400003043
11Mario LuciaAbbotsford Heat (Cal)C/LW4181422231154791132126.06%1459814.600336460003583056.97%40900000.7301120011
12Barclay GoodrowAbbotsford Heat (Cal)C/LW/RW2181018134955060680411.76%148623.16156129500041162059.82%56000000.7403001202
13Carl DahlstromAbbotsford Heat (Cal)D51611171591159434280121.43%3079415.58235974000074100.00%000000.4300111022
14Colin SmithAbbotsford Heat (Cal)LW18731081801321301023.33%122312.43101619000032061.96%18400000.8900000200
15Frank CorradoAbbotsford Heat (Cal)D153693260191531059.68%1428418.941122252011078100.00%000000.6300000111
16Curtis LazarAbbotsford Heat (Cal)LW/RW13448380523381010.53%216312.5401103000001050.00%600000.9800000111
17Dmitry KulikovCalgary FlamesD10257710026325008.00%924324.372021334000249010.00%000000.5700000120
18Dmytro TimashovAbbotsford Heat (Cal)LW171671100223039202.56%738622.720226620003960044.74%3800000.3600000101
19Patrik NemethCalgary FlamesD52066214018178000.00%111563.010000000000000.00%000000.7700000000
Stats d'équipe Total ou en Moyenne8222394076463101013125137513652280142810.48%4201439817.52569915560224826814562041471261.61%487400170.903128511424242
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
1Chris DriedgerAbbotsford Heat (Cal)43301120.9042.28247244949760600.833124339325
2Scott WedgewoodAbbotsford Heat (Cal)1610420.9162.2596042364270010.0000160110
Stats d'équipe Total ou en Moyenne59401540.9072.2734338613014030610.833125939435


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
Andrew WelinskiAbbotsford Heat (Cal)D231993-04-27Yes196 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm500,000$0$0$No500,000$500,000$500,000$
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$
Carl DahlstromAbbotsford Heat (Cal)D211995-01-27Yes228 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
Chris DriedgerAbbotsford Heat (Cal)G221994-05-18No200 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
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 Timashov (Sur la Masse Salariale)Abbotsford Heat (Cal)LW201996-09-30Yes192 Lbs5 ft9NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$Yes500,000$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$500,000$
Justin BaileyAbbotsford Heat (Cal)C/LW211995-07-01No190 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm890,000$0$0$No890,000$
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
Mirco MuellerAbbotsford Heat (Cal)D211995-03-21No205 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm500,000$0$0$No500,000$
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$300,000$
Scott WedgewoodAbbotsford Heat (Cal)G241992-08-14No195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$No300,000$
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
2022.25198 Lbs6 ft12.60449,500$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay GoodrowColin SmithJuho Lammikko40113
2Michael MerschNick PaulReid Gardiner35113
3Henri IkonenAndy AndreoffCurtis Lazar15221
4Reid GardinerJuho LammikkoMario Lucia10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl DahlstromMirco Mueller40122
2Sena AcolatseAndrew Welinski40122
3Frank CorradoAndrew Welinski10122
4Sena Acolatse10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay GoodrowNick PaulJustin Bailey60122
2Michael MerschColin SmithReid Gardiner40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mirco MuellerCarl Dahlstrom60122
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
1Mirco Mueller60122
2Sena AcolatseFrank Corrado40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Nick Paul60122Mirco Mueller60122
240122Sena AcolatseFrank Corrado40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Nick Paul60122
2Michael MerschAndy Andreoff40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Mirco Mueller60122
2Sena AcolatseCarl Dahlstrom40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael MerschColin SmithJuho LammikkoCarl Dahlstrom
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mario LuciaNick PaulJuho LammikkoCarl Dahlstrom
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mario Lucia, Henri Ikonen, Juho LammikkoMario Lucia, Henri IkonenJuho Lammikko
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Sena Acolatse, Carl Dahlstrom, Sena AcolatseFrank Corrado,
Tirs de Pénalité
Nick Paul, , Michael Mersch, Andy Andreoff, Mario Lucia
Gardien
#1 : Chris Driedger, #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
1Adirondack Phantoms2020000006-61010000001-11010000005-500.0000000098856732676174979716722053421100.00%19289.47%01368224360.99%1164199458.38%623105758.94%180013311483443752381
2Albany Devils20200000213-111010000025-31010000008-800.0002460098856733076174979716842226309111.11%13376.92%01368224360.99%1164199458.38%623105758.94%180013311483443752381
3Binghampton Senateurs3210000079-2110000002112110000058-340.667711180098856737376174979716772340621417.14%19573.68%01368224360.99%1164199458.38%623105758.94%180013311483443752381
4Bridgeport Sound Tigers422000001013-33120000059-41100000054140.500101727009885673107761749797161183760783139.68%25292.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
5Charlotte Checkers330000001941511000000514220000001431161.000193049009885673156761749797165922748711218.18%15286.67%11368224360.99%1164199458.38%623105758.94%180013311483443752381
6Chicago Wolves321000001192110000007432110000045-140.66711162701988567310476174979716791943672414.17%18477.78%01368224360.99%1164199458.38%623105758.94%180013311483443752381
7Connecticut Whale220000001358110000006331100000072541.0001320330098856731267617497971643131851700.00%9277.78%01368224360.99%1164199458.38%623105758.94%180013311483443752381
8Grand Rapids Griffins11000000716110000007160000000000021.00071320009885673337617497971619816147228.57%8187.50%01368224360.99%1164199458.38%623105758.94%180013311483443752381
9Hamilton Bulldogs320001008441000010023-12200000061550.8338152301988567386761749797166814446021419.05%21290.48%11368224360.99%1164199458.38%623105758.94%180013311483443752381
10Hershey Bears220000001376110000008351100000054141.00013233600988567384761749797165916234314642.86%9277.78%01368224360.99%1164199458.38%623105758.94%180013311483443752381
11Houston Aeros3210000012102110000007252110000058-340.66712193100988567398761749797167017506622522.73%23386.96%01368224360.99%1164199458.38%623105758.94%180013311483443752381
12Lake Erie Monsters33000000188101100000063322000000125761.000182846009885673177761749797166120446314535.71%21290.48%11368224360.99%1164199458.38%623105758.94%180013311483443752381
13Manchester Monarchs2200000014410110000006151100000083541.000142236009885673114761749797164411235012433.33%8275.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
14Milwaukee Admirals1010000013-2000000000001010000013-200.000112009885673177617497971635102914200.00%6183.33%01368224360.99%1164199458.38%623105758.94%180013311483443752381
15Norfolk Admirals2200000012111110000008171100000040441.00012213301988567310176174979716431422507228.57%11190.91%11368224360.99%1164199458.38%623105758.94%180013311483443752381
16Oklahoma City Barons32100000853211000006421100000021140.66781523009885673109761749797167420486615213.33%22481.82%01368224360.99%1164199458.38%623105758.94%180013311483443752381
17Peoria Rivermen412000101315-22010001078-12110000067-140.50013193210988567313176174979716982561752528.00%26484.62%21368224360.99%1164199458.38%623105758.94%180013311483443752381
18Portland Pirates22000000826220000008260000000000041.00081321019885673757617497971643918401100.00%90100.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
19Providence Bruins21000010743110000003121000001043141.000791600988567342761749797166813405813323.08%14285.71%01368224360.99%1164199458.38%623105758.94%180013311483443752381
20Rochester Americans22000000532110000002111100000032141.0005813009885673367617497971636732421300.00%14192.86%01368224360.99%1164199458.38%623105758.94%180013311483443752381
21Rockford IceHogs220000001028110000006151100000041341.00010182800988567361761749797165114454816318.75%16193.75%01368224360.99%1164199458.38%623105758.94%180013311483443752381
22San Antonio Rampage330000001831511000000505220000001331061.00018244201988567316776174979716672126761100.00%120100.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
23Springfield Falcons220000001064110000005321100000053241.00010182800988567356761749797167215324122418.18%15473.33%01368224360.99%1164199458.38%623105758.94%180013311483443752381
24St-John Ice Caps1000010034-11000010034-10000000000010.5003690098856732176174979716281017177228.57%6183.33%01368224360.99%1164199458.38%623105758.94%180013311483443752381
25Syracuse Crunch1010000001-1000000000001010000001-100.00000000988567317761749797162582623400.00%110100.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
26Texas Stars3020000158-31010000023-12010000135-210.167571200988567378761749797167214425627311.11%15193.33%01368224360.99%1164199458.38%623105758.94%180013311483443752381
27Toronto Marlies2200000013112110000006151100000070741.00013193201988567312676174979716321218545240.00%90100.00%21368224360.99%1164199458.38%623105758.94%180013311483443752381
Total674219003212521658732209002101267452352210001111269135920.6872524036551698856732310761749797161713464103614413965714.39%4195387.35%81368224360.99%1164199458.38%623105758.94%180013311483443752381
29Wilkes-Barre Penguins3020010049-51010000013-22010010036-310.16745900988567345761749797161002553481600.00%21195.24%01368224360.99%1164199458.38%623105758.94%180013311483443752381
30Worchester Sharks1010000015-41010000015-40000000000000.00012300988567314761749797161651320500.00%40100.00%01368224360.99%1164199458.38%623105758.94%180013311483443752381
_Since Last GM Reset674219003212521658732209002101267452352210001111269135920.6872524036551698856732310761749797161713464103614413965714.39%4195387.35%81368224360.99%1164199458.38%623105758.94%180013311483443752381
_Vs Conference3625800111148767215103001106832362115500001804436540.7501482323801498856731379761749797168212235727882133114.55%2262688.50%71368224360.99%1164199458.38%623105758.94%180013311483443752381
_Vs Division1790001006250127300010031211010600000031292190.5596298160109885673583761749797164151102883391132017.70%1131388.50%31368224360.99%1164199458.38%623105758.94%180013311483443752381

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6792W1252403655231017134641036144116
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6742190321252165
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32209021012674
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
352210011112691
Derniers 10 Matchs
WLOTWOTL SOWSOL
730000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3965714.39%4195387.35%8
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
761749797169885673
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
1368224360.99%1164199458.38%623105758.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
180013311483443752381


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
1 - 2017-10-011Abbotsford Heat2Peoria Rivermen4LSommaire du Match
4 - 2017-10-0420Abbotsford Heat2Wilkes-Barre Penguins4LSommaire du Match
5 - 2017-10-0527Bridgeport Sound Tigers2Abbotsford Heat4WSommaire du Match
8 - 2017-10-0846Albany Devils5Abbotsford Heat2LSommaire du Match
10 - 2017-10-1059Abbotsford Heat7Charlotte Checkers1WSommaire du Match
12 - 2017-10-1276Oklahoma City Barons2Abbotsford Heat5WSommaire du Match
14 - 2017-10-1483Abbotsford Heat4Houston Aeros3WSommaire du Match
16 - 2017-10-16102Abbotsford Heat5Binghampton Senateurs4WSommaire du Match
17 - 2017-10-17110Abbotsford Heat9San Antonio Rampage1WSommaire du Match
18 - 2017-10-18118Texas Stars3Abbotsford Heat2LSommaire du Match
21 - 2017-10-21144Portland Pirates2Abbotsford Heat3WSommaire du Match
22 - 2017-10-22155Abbotsford Heat5Hamilton Bulldogs1WSommaire du Match
23 - 2017-10-23170Peoria Rivermen3Abbotsford Heat4WXXSommaire du Match
25 - 2017-10-25183Abbotsford Heat1Texas Stars2LXXSommaire du Match
29 - 2017-10-29203Toronto Marlies1Abbotsford Heat6WSommaire du Match
31 - 2017-10-31217Abbotsford Heat7Lake Erie Monsters3WSommaire du Match
32 - 2017-11-01233Abbotsford Heat7Charlotte Checkers2WSommaire du Match
33 - 2017-11-02238Rochester Americans1Abbotsford Heat2WSommaire du Match
36 - 2017-11-05263Chicago Wolves4Abbotsford Heat7WSommaire du Match
39 - 2017-11-08285Abbotsford Heat5Hershey Bears4WSommaire du Match
40 - 2017-11-09295Adirondack Phantoms1Abbotsford Heat0LSommaire du Match
42 - 2017-11-11315Bridgeport Sound Tigers2Abbotsford Heat0LSommaire du Match
43 - 2017-11-12324Abbotsford Heat5Springfield Falcons3WSommaire du Match
45 - 2017-11-14339Abbotsford Heat0Adirondack Phantoms5LSommaire du Match
46 - 2017-11-15354Bridgeport Sound Tigers5Abbotsford Heat1LSommaire du Match
50 - 2017-11-19375San Antonio Rampage0Abbotsford Heat5WSommaire du Match
53 - 2017-11-22402Abbotsford Heat7Toronto Marlies0WSommaire du Match
54 - 2017-11-23411Hamilton Bulldogs3Abbotsford Heat2LXSommaire du Match
56 - 2017-11-25424Abbotsford Heat4Norfolk Admirals0WSommaire du Match
58 - 2017-11-27437Providence Bruins1Abbotsford Heat3WSommaire du Match
59 - 2017-11-28449Abbotsford Heat3Chicago Wolves5LSommaire du Match
60 - 2017-11-29463Abbotsford Heat4San Antonio Rampage2WSommaire du Match
62 - 2017-12-01476Lake Erie Monsters3Abbotsford Heat6WSommaire du Match
63 - 2017-12-02494Abbotsford Heat7Connecticut Whale2WSommaire du Match
64 - 2017-12-03503Norfolk Admirals1Abbotsford Heat8WSommaire du Match
69 - 2017-12-08525Abbotsford Heat8Manchester Monarchs3WSommaire du Match
70 - 2017-12-09534Peoria Rivermen5Abbotsford Heat3LSommaire du Match
74 - 2017-12-13560Hershey Bears3Abbotsford Heat8WSommaire du Match
76 - 2017-12-15572Abbotsford Heat4Peoria Rivermen3WSommaire du Match
77 - 2017-12-16587Abbotsford Heat2Oklahoma City Barons1WSommaire du Match
79 - 2017-12-18594Springfield Falcons3Abbotsford Heat5WSommaire du Match
81 - 2017-12-20614Worchester Sharks5Abbotsford Heat1LSommaire du Match
88 - 2017-12-27643Abbotsford Heat1Milwaukee Admirals3LSommaire du Match
89 - 2017-12-28649Connecticut Whale3Abbotsford Heat6WSommaire du Match
91 - 2017-12-30669Abbotsford Heat0Binghampton Senateurs4LSommaire du Match
92 - 2017-12-31679Manchester Monarchs1Abbotsford Heat6WSommaire du Match
93 - 2018-01-01692Abbotsford Heat4Providence Bruins3WXXSommaire du Match
95 - 2018-01-03708Houston Aeros2Abbotsford Heat7WSommaire du Match
97 - 2018-01-05717Abbotsford Heat1Chicago Wolves0WSommaire du Match
100 - 2018-01-08733Abbotsford Heat1Wilkes-Barre Penguins2LXSommaire du Match
101 - 2018-01-09744Wilkes-Barre Penguins3Abbotsford Heat1LSommaire du Match
103 - 2018-01-11762Abbotsford Heat2Texas Stars3LSommaire du Match
105 - 2018-01-13773Charlotte Checkers1Abbotsford Heat5WSommaire du Match
106 - 2018-01-14794Abbotsford Heat5Bridgeport Sound Tigers4WSommaire du Match
108 - 2018-01-16804St-John Ice Caps4Abbotsford Heat3LXSommaire du Match
111 - 2018-01-19826Abbotsford Heat0Syracuse Crunch1LSommaire du Match
112 - 2018-01-20833Binghampton Senateurs1Abbotsford Heat2WSommaire du Match
114 - 2018-01-22849Abbotsford Heat3Rochester Americans2WSommaire du Match
115 - 2018-01-23860Oklahoma City Barons2Abbotsford Heat1LSommaire du Match
117 - 2018-01-25873Abbotsford Heat5Lake Erie Monsters2WSommaire du Match
119 - 2018-01-27892Grand Rapids Griffins1Abbotsford Heat7WSommaire du Match
120 - 2018-01-28903Abbotsford Heat0Albany Devils8LSommaire du Match
121 - 2018-01-29911Abbotsford Heat1Hamilton Bulldogs0WSommaire du Match
123 - 2018-01-31927Portland Pirates0Abbotsford Heat5WSommaire du Match
125 - 2018-02-02951Rockford IceHogs1Abbotsford Heat6WSommaire du Match
127 - 2018-02-04956Abbotsford Heat1Houston Aeros5LSommaire du Match
131 - 2018-02-08978Abbotsford Heat4Rockford IceHogs1WSommaire du Match
132 - 2018-02-09987Milwaukee Admirals-Abbotsford Heat-
134 - 2018-02-11998Abbotsford Heat-Portland Pirates-
137 - 2018-02-141015Rockford IceHogs-Abbotsford Heat-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161025Abbotsford Heat-Albany Devils-
141 - 2018-02-181044Abbotsford Heat-Worchester Sharks-
142 - 2018-02-191049Texas Stars-Abbotsford Heat-
145 - 2018-02-221077Milwaukee Admirals-Abbotsford Heat-
149 - 2018-02-261103Syracuse Crunch-Abbotsford Heat-
150 - 2018-02-271113Abbotsford Heat-St-John Ice Caps-
152 - 2018-03-011132Rochester Americans-Abbotsford Heat-
154 - 2018-03-031140Abbotsford Heat-Grand Rapids Griffins-
157 - 2018-03-061167Albany Devils-Abbotsford Heat-
161 - 2018-03-101189Albany Devils-Abbotsford Heat-
167 - 2018-03-161214Toronto Marlies-Abbotsford Heat-
168 - 2018-03-171227Abbotsford Heat-Grand Rapids Griffins-



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
9 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
431,045$ 89,900$ 59,840$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 43,353$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 38 3,491$ 132,658$




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
12674219003212521658732209002101267452352210001111269135922524036551698856732310761749797161713464103614413965714.39%4195387.35%81368224360.99%1164199458.38%623105758.94%180013311483443752381
Total Saison Régulière674219003212521658732209002101267452352210001111269135922524036551698856732310761749797161713464103614413965714.39%4195387.35%81368224360.99%1164199458.38%623105758.94%180013311483443752381