Buffalo Sabres
32-31-13, 77pts
STATISTIQUE
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 SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPM PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Timo MeierSabresSabresLW/RW752728553435166272721839.93%817.40691518500003339.36%9400000.8426
2Zach WerenskiSabresSabresD76133851-174809914140889.22%9222.119918202101137310.00%000100.6100
3Jordan KyrouSabresSabresC/RW76232548160232307215210.00%1118.244913194000154230.35%163400100.69110
4Casey MittelstadtSabresSabresC/LW76192746-110043199501269.55%818.49410141850112004052.55%174700000.6513
5Owen PowerSabresSabresD7663642-7200689825566.12%10621.8241317195112173000.00%100100.5100
6Jonas BrodinSabresSabresD6583139-18220668919598.99%12222.24268144011137100.00%000000.5400
7Troy StecherSabresSabresD7692837260014269235213.04%11318.6912355000176200.00%000000.5200
8Brandon TanevSabresSabresLW/RW72151631-6415851414110310.64%1611.93000800003027.43%11300000.7200
9Conor GarlandSabresSabresLW/RW76151530-1114066171461318.77%715.27751218400003127.78%7200000.5202
10Alexis LafreniereSabresSabresLW/RW76141529222088154421229.09%1018.41156193101244032.26%9300000.41310
11Bowen ByramSabresSabresD7352328-75201568630705.81%7119.17491316900022120.00%000000.4000
12Casey CizikasSabresSabresC76131124-410043122297810.66%1914.73101101121841353.45%133400000.4301
13Joel KivirantaSabresSabresLW/RW7551520-680408721635.75%1914.1301110111710131.51%7300000.3800
14Warren FoegeleSabresSabresLW/RW7691120-12335134151491105.96%1015.4154918400002126.92%7800000.3400
15Jesper BoqvistSabresSabresLW7661117-1380348218947.32%712.6900001121850042.76%29700000.3500
16Ben GleasonSabresSabresD53088533564175100.00%4216.98000101182000.00%000000.1800
17Jesse PuljujarviSabresSabresRW58437-760325012458.00%210.01000400010028.61%42300000.2400
18Matt MartinSabresSabresLW/RW76336-1452101265719395.26%49.78000000000131.03%5800000.1600
19Matthew NietoSabresSabresLW/RW26134-740113413232.94%59.45000000020029.50%13900000.3300
20Tucker PoolmanSabresSabresD12112-1803842125.00%1316.90000200021000.00%000000.2000
21Victor SoderstromSabresSabresD23000-360189160.00%1616.33000600019000.00%000000.0000
Moyenne d'équipe1368196348544-131496301542226362916118.66%70116.434882130193157121556311542.17%615600300.48732
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
1Joonas KorpisaloSabresSabres51231780.9072.8829372114115130000.692134824541
2Marc-Andre FleurySabresSabres3291450.9023.22165721899050000.556182848401
3Oscar DanskSabresSabres10000.8955.7121002190000.000004000
Moyenne d'équipe 843231 13 0.9053.0246164223224370000.613317676942
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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1BruinsBruins43100000125760.75012243601732012758313801303137808225.00%15286.67%01029247141.64%1109246245.04%458115139.79%88609929512476.9%9.4%96.2%105.6LUCKY
2RangersRangers5400100021156101.0002141620096511887061561161472012416531.25%10190.00%01029247141.64%1109246245.04%458115139.79%1289210833643253.3%11.2%90.7%101.9FUN
3PredatorsPredators1010000025-300.00023500002024931203616826300.00%3166.67%01029247141.64%1109246245.04%458115139.79%221524712633.3%8.3%86.1%94.4Unlucky
4Red WingsRed Wings522000101111060.600111930004331144455047411851341151119.09%17570.59%01029247141.64%1109246245.04%458115139.79%1238311537663362.5%7.6%90.7%98.3Unlucky
5JetsJets3210000087140.66781422000440742324270933018609222.22%9277.78%01029247141.64%1109246245.04%458115139.79%70477222371754.5%10.8%92.5%103.3LUCKY
6HurricanesHurricanes3210000097240.66791726003330962634360902285113215.38%4175.00%01029247141.64%1109246245.04%458115139.79%75546821361853.8%9.4%92.2%101.6LUCKY
7CapitalsCapitals3030000037-400.000369000120551911250103322667500.00%11372.73%01029247141.64%1109246245.04%458115139.79%62427921371642.9%5.5%93.2%98.7DULL
8CanadiensCanadiens511011011619-360.6001631470037511603961558136413012016318.75%15660.00%01029247141.64%1109246245.04%458115139.79%1238711637663350.0%10.0%86.0%96.0FUN
9LightningLightning503000111323-1030.300132235004442145465543719353359624416.67%13284.62%01029247141.64%1109246245.04%458115139.79%1137713138653130.0%9.0%88.1%97.0FUN
10FlyersFlyers30300000514-900.000591400113010033392801082712669111.11%6266.67%01029247141.64%1109246245.04%458115139.79%65457521381725.0%5.0%87.0%92.0Unlucky
11SharksSharks2110000075220.50071219003310712428190702118418562.50%90100.00%11029247141.64%1109246245.04%458115139.79%46314713251228.6%9.9%92.9%102.7LUCKY
12Black HawksBlack Hawks1100000043121.000471100211035101510026114225120.00%220.00%01029247141.64%1109246245.04%458115139.79%261719713775.0%11.4%88.5%99.9FUN
13AvalancheAvalanche1000000112-110.500123000102327915634130276116.67%000.00%01029247141.64%1109246245.04%458115139.79%26182581260.0%3.1%94.1%97.2DULL
14DucksDucks1010000003-300.000000000000317141002814824200.00%4250.00%01029247141.64%1109246245.04%458115139.79%22152481360.0%0.0%89.3%89.3Unlucky
15OilersOilers1000100043121.0004711000121268981231182711100.00%4250.00%01029247141.64%1109246245.04%458115139.79%211327712575.0%15.4%87.0%102.3FUN
16SenateursSenateurs513001001016-630.30010172700433013251314731635138102900.00%17382.35%11029247141.64%1109246245.04%458115139.79%1026813438643043.5%7.6%90.2%97.8Unlucky
17Maple LeafsMaple Leafs521002001313060.600132336013460149494654014530328623626.09%11463.64%01029247141.64%1109246245.04%458115139.79%1167912135653243.8%8.7%91.0%99.8Unlucky
18CanucksCanucks1010000026-400.0002240001103291490349816100.00%4250.00%01029247141.64%1109246245.04%458115139.79%282019512633.3%6.3%82.4%88.6Unlucky
19WildWild1100000032121.000347000120411613120306619100.00%3166.67%11029247141.64%1109246245.04%458115139.79%231624712675.0%7.3%93.3%100.7DULL
20KingsKings1010000005-500.00000000000017935036101018300.00%50100.00%01029247141.64%1109246245.04%458115139.79%21132581360.0%0.0%86.1%86.1Unlucky
21StarsStars1000010034-110.5003580001203314910034101032000.00%5180.00%01029247141.64%1109246245.04%458115139.79%211426711550.0%9.1%88.2%97.3FUN
22FlamesFlames1010000024-200.000246000110266416036108242150.00%4175.00%01029247141.64%1109246245.04%458115139.79%211424713625.0%7.7%88.9%96.6Unlucky
23DevilsDevils422000001014-440.50010203000523010539392701493534758337.50%16568.75%11029247141.64%1109246245.04%458115139.79%99719028492543.8%9.5%90.6%100.1FUN
24PanthersPanthers511000121112-160.60011182900442214145484611184704110214214.29%18477.78%01029247141.64%1109246245.04%458115139.79%1117313739653252.9%7.8%93.5%101.3DULL
25IslandersIslanders41200100713-630.3757121900520010941363201062128901300.00%13284.62%01029247141.64%1109246245.04%458115139.79%97689130522538.9%6.4%87.7%94.2Unlucky
26PenguinsPenguins420000021815360.75018304800610201304153321113035339016743.75%14378.57%01029247141.64%1109246245.04%458115139.79%956610330502447.8%13.8%88.5%102.3FUN
27KrakenKraken1010000026-400.0002460020002598804116617200.00%3166.67%01029247141.64%1109246245.04%458115139.79%201425713528.6%8.0%85.4%93.4Unlucky
_Vs Division341012014348699-13360.529861542400229282569983333223303310693272477011051817.14%1062675.47%11029247141.64%1109246245.04%458115139.79%77853085525644521848.2%8.6%90.7%99.4Unlucky
_Vs Conference60212302536159184-25630.525159289448025853437178160259556645191654640812641853619.46%1804376.11%21029247141.64%1109246245.04%458115139.79%1404970147344377538046.6%8.9%90.4%99.3Unlucky
_Since Last GM Reset76263103637197239-42770.5071973535500265675910224875374872752243772352016172284720.61%2355875.32%41029247141.64%1109246245.04%458115139.79%17771223186256297947945.3%8.8%90.2%99.0Unlucky
Total76263103637197239-42770.5071973535500265675910224875374872752243772352016172284720.61%2355875.32%41029247141.64%1109246245.04%458115139.79%17771223186256297947945.3%8.8%90.2%99.0Unlucky

Puck Time
Offensive Zone 23
Neutral Zone 12
Defensive Zone 24
Puck Time
Offensive Zone Start 2471
Neutral Zone Start 1151
Defensive Zone Start 2462
Puck Time
With Puck 29
Without Puck 30
Faceoffs
Faceoffs Won 2596
Faceoffs Lost 3488
Team Average Shots after League Average Shots after
1st Period 9.99.57
2nd Period 19.820.31
3rd Period 29.330.68
Overtime 30.031.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.90.64
2nd Period 1.71.65
3rd Period 2.52.67
Overtime 2.62.83
Even Strenght Goal 146
PP Goal 47
PK Goal 4
Empty Net Goal 0
Home Away
Win 1715
Lost 1219
Overtime Lost 85
PP Attempt 228
PP Goal 47
PK Attempt 235
PK Goal Against 58
Home
Shots For 29.6
Shots Against 32.1
Goals For 2.6
Goals Against 3.1
Hits 21.3
Shots Blocked 9.5
Pim 6.8