Abbotsford Heat

GP: 82 | W: 48 | L: 26 | OTL: 8 | P: 104
GF: 290 | GA: 223 | PP%: 14.50% | PK%: 84.77%
DG: Martin Thibault | Morale : 60 | Moyenne d'Équipe : N/A
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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 AndreoffX100.0091505773755662636356555650575817600
2Teddy Blueger (R)X100.0073686562686663577160506250505014100
3Mario Lucia (R)XX100.0059766461765962595056586555505016800
4Henri IkonenX100.0067667264667464505050506050505017600
5Dmytro Timashov (R)X100.0067677067676765555050576154505014500
6Nick PaulX100.0086757866757368597456586655505017300
7Juho Lammikko (R)X100.0059767164766866506350516350505014500
8Reid Gardiner (R)XX100.0055696261695862515050516250505017500
9Colin SmithX100.0063636466637368617661566153505017500
10Michael MerschX100.0069737569736865635057646461505016300
11Barclay GoodrowXXX100.0085797672797878655057676964707015200
12Curtis LazarXX100.0090509883715366525058566450616216400
13Frank CorradoX100.0058706369705965542555506450525314600
14Carl Dahlstrom (R)X100.0066847261736769502556506550505016900
15Sena AcolatseX100.0053765362766869502553505750505017400
Rayé
MOYENNE D'ÉQUIPE100.006969696772666656515555635353531630
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)C8240641043615610263302372134110.75%52177121.609223198394022153497363.10%235500111.17250011046
2Michael MerschAbbotsford Heat (Cal)LW764451952441560151349124012.61%27141918.671119309832711271926356.15%24400021.3411001964
3Andy AndreoffAbbotsford Heat (Cal)C8230366625136025419027572010.91%36137716.8073105018720281497260.27%131900020.9601000496
4Henri IkonenAbbotsford Heat (Cal)LW822536612248106212824071710.42%32123215.0422411530000475247.37%7600000.9900110543
5Andrew WelinskiCalgary FlamesD7313455818895139751112411.71%72146720.1171623762650111295400.00%000000.7900100333
6Reid GardinerAbbotsford Heat (Cal)C/LW781135462314039871673186.59%16133717.142810413030111572061.74%14900000.6900000026
7Barclay GoodrowAbbotsford Heat (Cal)C/LW/RW362115361389158497142156314.79%374520.7286144516800041163159.45%58200000.9703003404
8Sena AcolatseAbbotsford Heat (Cal)D827283520150201436788657.95%65161119.65461051292000424710100.00%100000.4311211101
9Juho LammikkoAbbotsford Heat (Cal)C52121527164915376111481510.53%14102719.771452616820251453058.11%26500000.5300003044
10Carl DahlstromAbbotsford Heat (Cal)D66621271313115140414731912.77%44107816.35291126142000074100.00%000000.5000111022
11Mario LuciaAbbotsford Heat (Cal)C/LW5691524-1331551971384136.52%1669012.331349620003713056.26%43900000.7001120011
12Colin SmithAbbotsford Heat (Cal)LW33128207240264756122321.43%346214.022131269000032062.71%41300000.8600000310
13Frank CorradoAbbotsford Heat (Cal)D303912342036224911206.12%2147515.85134381030220108100.00%000000.5000000112
14Curtis LazarAbbotsford Heat (Cal)LW/RW2874114808486341411.11%534412.3101103000001155.56%1800000.6400000121
15Dmytro TimashovAbbotsford Heat (Cal)LW171671100223039202.56%738622.720226620003960044.74%3800000.3600000101
16Patrik NemethCalgary FlamesD52066214018178000.00%111563.010000000000000.00%000000.7700000000
Stats d'équipe Total ou en Moyenne925241394635226103411013821460225810931210.67%4241558416.855710516258726055712511957461260.69%589900150.814126510423944
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
1Scott WedgewoodCalgary Flames1610420.9162.2596042364270010.0000160110
Stats d'équipe Total ou en Moyenne1610420.9162.2596042364270010.0000160110


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$
Carl DahlstromAbbotsford Heat (Cal)D211995-01-27Yes228 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$No500,000$500,000$500,000$
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
1522.27199 Lbs6 ft12.67420,000$



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 Dahlstrom40122
2Sena Acolatse40122
3Frank Corrado10122
4Sena Acolatse10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Barclay GoodrowNick Paul60122
2Michael MerschColin SmithReid Gardiner40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Carl 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
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 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 : , #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 Phantoms2020000006-61010000001-11010000005-500.000000001071017852686588791831722053421100.00%19289.47%01636269160.80%1386242257.23%765127759.91%218816041841547926468
2Albany Devils50400001727-2030200001714-720200000013-1310.100711180010710178594865887918311583968852913.45%29872.41%01636269160.80%1386242257.23%765127759.91%218816041841547926468
3Binghampton Senateurs3210000079-2110000002112110000058-340.66771118001071017857386588791831772340621417.14%19573.68%01636269160.80%1386242257.23%765127759.91%218816041841547926468
4Bridgeport Sound Tigers422000001013-33120000059-41100000054140.50010172700107101785107865887918311183760783139.68%25292.00%01636269160.80%1386242257.23%765127759.91%218816041841547926468
5Charlotte Checkers330000001941511000000514220000001431161.00019304900107101785156865887918315922748711218.18%15286.67%11636269160.80%1386242257.23%765127759.91%218816041841547926468
6Chicago Wolves321000001192110000007432110000045-140.6671116270110710178510486588791831791943672414.17%18477.78%01636269160.80%1386242257.23%765127759.91%218816041841547926468
7Connecticut Whale220000001358110000006331100000072541.000132033001071017851268658879183143131851700.00%9277.78%01636269160.80%1386242257.23%765127759.91%218816041841547926468
8Grand Rapids Griffins320001001486110000007162100010077050.8331422360010710178593865887918318420465616425.00%24579.17%01636269160.80%1386242257.23%765127759.91%218816041841547926468
9Hamilton Bulldogs320001008441000010023-12200000061550.833815230110710178586865887918316814446021419.05%21290.48%11636269160.80%1386242257.23%765127759.91%218816041841547926468
10Hershey Bears220000001376110000008351100000054141.0001323360010710178584865887918315916234314642.86%9277.78%01636269160.80%1386242257.23%765127759.91%218816041841547926468
11Houston Aeros3210000012102110000007252110000058-340.6671219310010710178598865887918317017506622522.73%23386.96%01636269160.80%1386242257.23%765127759.91%218816041841547926468
12Lake Erie Monsters33000000188101100000063322000000125761.00018284600107101785177865887918316120446314535.71%21290.48%11636269160.80%1386242257.23%765127759.91%218816041841547926468
13Manchester Monarchs2200000014410110000006151100000083541.00014223600107101785114865887918314411235012433.33%8275.00%01636269160.80%1386242257.23%765127759.91%218816041841547926468
14Milwaukee Admirals3020001059-42010001046-21010000013-220.3335510001071017854886588791831833483517114.29%25580.00%11636269160.80%1386242257.23%765127759.91%218816041841547926468
15Norfolk Admirals2200000012111110000008171100000040441.0001221330110710178510186588791831431422507228.57%11190.91%11636269160.80%1386242257.23%765127759.91%218816041841547926468
16Oklahoma City Barons32100000853211000006421100000021140.6678152300107101785109865887918317420486615213.33%22481.82%01636269160.80%1386242257.23%765127759.91%218816041841547926468
17Peoria Rivermen412000101315-22010001078-12110000067-140.5001319321010710178513186588791831982561752528.00%26484.62%21636269160.80%1386242257.23%765127759.91%218816041841547926468
18Portland Pirates320010001367220000008261000100054161.000131932011071017859386588791831741447621516.67%20290.00%01636269160.80%1386242257.23%765127759.91%218816041841547926468
19Providence Bruins21000010743110000003121000001043141.00079160010710178542865887918316813405813323.08%14285.71%01636269160.80%1386242257.23%765127759.91%218816041841547926468
20Rochester Americans321000008802110000056-11100000032140.66781422001071017856486588791831691552642129.52%24483.33%01636269160.80%1386242257.23%765127759.91%218816041841547926468
21Rockford IceHogs3200010014772100010010641100000041350.8331426400010710178595865887918319027707923626.09%26484.62%01636269160.80%1386242257.23%765127759.91%218816041841547926468
22San Antonio Rampage330000001831511000000505220000001331061.0001824420110710178516786588791831672126761100.00%120100.00%01636269160.80%1386242257.23%765127759.91%218816041841547926468
23Springfield Falcons220000001064110000005321100000053241.0001018280010710178556865887918317215324122418.18%15473.33%01636269160.80%1386242257.23%765127759.91%218816041841547926468
24St-John Ice Caps210001008621000010034-11100000052330.750815230010710178557865887918315413323513430.77%11281.82%01636269160.80%1386242257.23%765127759.91%218816041841547926468
25Syracuse Crunch2020000015-41010000014-31010000001-100.000123001071017853186588791831571650441200.00%22386.36%01636269160.80%1386242257.23%765127759.91%218816041841547926468
26Texas Stars40300001612-62020000037-42010000135-210.125691500107101785106865887918319721447035411.43%16287.50%01636269160.80%1386242257.23%765127759.91%218816041841547926468
27Toronto Marlies3200010015411210001008441100000070750.8331522370110710178517486588791831531928728225.00%14285.71%21636269160.80%1386242257.23%765127759.91%218816041841547926468
Total8244260163229022367412014004211461103641241201211144113311040.634290460750161071017852684865887918312135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
29Wilkes-Barre Penguins3020010049-51010000013-22010010036-310.1674590010710178545865887918311002553481600.00%21195.24%01636269160.80%1386242257.23%765127759.91%218816041841547926468
30Worchester Sharks2020000029-71010000015-41010000014-300.00023500107101785278658879183144163339700.00%130100.00%01636269160.80%1386242257.23%765127759.91%218816041841547926468
_Since Last GM Reset8244260163229022367412014004211461103641241201211144113311040.634290460750161071017852684865887918312135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
_Vs Conference442611004211691066321106003208255272316500101875136610.6931692644331410710178516088658879183110522947139522534015.81%2874385.02%81636269160.80%1386242257.23%765127759.91%218816041841547926468
_Vs Division229100200766791131002004036411600000036315200.4557612119710107101785712865887918315531573844391392719.42%1482285.14%41636269160.80%1386242257.23%765127759.91%218816041841547926468

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82104OTL2290460750268421355791307174016
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8244261632290223
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120140421146110
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4124121211144113
Derniers 10 Matchs
WLOTWOTL SOWSOL
250201
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
4766914.50%5328184.77%9
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
86588791831107101785
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
1636269160.80%1386242257.23%765127759.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
218816041841547926468


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 Admirals2Abbotsford Heat3WXXSommaire du Match
134 - 2018-02-11998Abbotsford Heat5Portland Pirates4WXSommaire du Match
137 - 2018-02-141015Rockford IceHogs5Abbotsford Heat4LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
139 - 2018-02-161025Abbotsford Heat0Albany Devils5LSommaire du Match
141 - 2018-02-181044Abbotsford Heat1Worchester Sharks4LSommaire du Match
142 - 2018-02-191049Texas Stars4Abbotsford Heat1LSommaire du Match
145 - 2018-02-221077Milwaukee Admirals4Abbotsford Heat1LSommaire du Match
149 - 2018-02-261103Syracuse Crunch4Abbotsford Heat1LSommaire du Match
150 - 2018-02-271113Abbotsford Heat5St-John Ice Caps2WSommaire du Match
152 - 2018-03-011132Rochester Americans5Abbotsford Heat3LSommaire du Match
154 - 2018-03-031140Abbotsford Heat4Grand Rapids Griffins3WSommaire du Match
157 - 2018-03-061167Albany Devils4Abbotsford Heat3LXXSommaire du Match
161 - 2018-03-101189Albany Devils5Abbotsford Heat2LSommaire du Match
167 - 2018-03-161214Toronto Marlies3Abbotsford Heat2LXSommaire du Match
168 - 2018-03-171227Abbotsford Heat3Grand Rapids Griffins4LXSommaire 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
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
559,223$ 63,000$ 40,940$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 59,106$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 3,331$ 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
12824426016322902236741201400421146110364124120121114411331104290460750161071017852684865887918312135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468
Total Saison Régulière824426016322902236741201400421146110364124120121114411331104290460750161071017852684865887918312135579130717404766914.50%5328184.77%91636269160.80%1386242257.23%765127759.91%218816041841547926468