BlackhawksChicago Blackhawks
3-12-4, 10pts · 15th in Western Conference
Player Stats
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# Player Name Team Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Andrei KuzmenkoBlackhawksBlackhawks96LW1910717-3201670264514.29%821.:.58246000490041.03%3900010.8102
2Filip ZadinaBlackhawksBlackhawks11LW/RW197512-71351854162412.96%720.:.34101101421060.61%3300000.6101
3Erik GudbransonBlackhawksBlackhawks0D191910-10281051225174.55%3423.:.3302201164000.00%000000.4500
4Nicklas BackstromBlackhawksBlackhawks0C16099-26023279300.00%219.:.21022000260053.57%42000000.5800
5Taylor HallBlackhawksBlackhawks4LW19549-64096011558.33%117.:.0521300091139.39%3300000.5502
6Michael EyssimontBlackhawksBlackhawks0C19358-6411553448296.82%320.:.32112011650038.12%56400000.4100
7Chris TierneyBlackhawksBlackhawks71C19336-77594310156.98%314.:.32000000190147.21%23300000.4302
8Vinnie HinostrozaBlackhawksBlackhawks0C/RW15145-620151811145.56%214.:.00000000110028.57%2800000.4800
9Egor ZamulaBlackhawksBlackhawks0D19235-128017164612.50%2422.:.1310100063000.00%000000.2400
10Kevin BahlBlackhawksBlackhawks0D19145-712056166116.25%3220.:.0901100058000.00%000000.2600
11Isaac RatcliffeBlackhawksBlackhawks0LW19123-58020145117.14%209.:.55000000100046.15%1300000.3200
12Jakub ZborilBlackhawksBlackhawks0D19033-1200438130.00%2616.:.040000008000.00%000000.2000
13Tanner LaczynskiBlackhawksBlackhawks38C19033-30016236130.00%109.:.43000000120045.86%13300000.3200
14Jacob LarssonBlackhawksBlackhawks0D9022-160103110.00%916.:.170000005000.00%000000.2700
15Jarid LukoseviciusBlackhawksBlackhawks44RW16101-40012154106.67%211.:.3700000000055.56%900000.1100
16Jamie DrysdaleBlackhawksBlackhawks0D17101-560921554.76%2318.:.1900000037000.00%000000.0600
17Ryan DzingelBlackhawksBlackhawks19C19101-8401692711.11%209.:.40000000181049.35%15400000.1100
18Jimmy LambertBlackhawksBlackhawks0C/RW6011-120411040.00%210.:.1500000000050.00%800000.3200
19Hunter DrewBlackhawksIceHogs (CHI)0D1000-14070000.00%115.:.290000000000.00%000000.0000
20Jacob GaucherBlackhawksIceHogs (CHI)0C11000-22056240.00%007.:.2200000000056.67%3000000.0000
21Filip RoosBlackhawksBlackhawks0D1000-20010000.00%117.:.170000000000.00%000000.0000
22Keaton MastrodonatoBlackhawksIceHogs (CHI)0C9000-42010030.00%008.:.0000000000081.25%1600000.0000
Team Total or Average3083764101-96169353984741303007.81%18416:44711181235043245.53%166700010.3907
Filter Tips
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
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Chris DriedgerBlackhawksBlackhawks825190.6%2.8947800232450100.0%0811100
2Samuel ErssonBlackhawksBlackhawks1117390.6%3.49671603941600066.7%6117211
Team Total or Average19312490.6%3.24115060626610100.66761918311
Filter Tips
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 Team 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
1BlackhawksJets1000000123-110.50023500200019105433961023300.00%50100.00%028263644.34%35573948.04%15332147.66%211227916740.0%10.5%92.3%102.8LUCKY
2BlackhawksSabres1000000134-110.5003690001203171477391311262150.00%30100.00%028263644.34%35573948.04%15332147.66%241626813633.3%9.7%89.7%99.4FUN
3BlackhawksRed Wings1010000012-100.00011200100030915602991032200.00%5180.00%028263644.34%35573948.04%15332147.66%221322814750.0%3.3%93.1%96.4DULL
4BlackhawksPredators1010000025-300.00024600011021511504191123100.00%30100.00%028263644.34%35573948.04%15332147.66%171028814628.6%9.5%87.8%97.3FUN
5BlackhawksWild1010000014-300.00011200010032771802887132150.00%10100.00%028263644.34%35573948.04%15332147.66%22152471360.0%3.1%85.7%88.8Unlucky
6BlackhawksOilers1010000045-100.00048120031002914780201210236116.67%5180.00%028263644.34%35573948.04%15332147.66%231422814742.9%13.8%75.0%88.8FUN
7BlackhawksFlames1010000014-300.000123000010248511034116245120.00%3166.67%028263644.34%35573948.04%15332147.66%25152171370.0%4.2%88.2%92.4Unlucky
8BlackhawksCanucks2020000035-200.00035800012042111615051192054100.00%9277.78%028263644.34%35573948.04%15332147.66%43274716281250.0%7.1%90.2%97.3Unlucky
9BlackhawksAvalanche1010000015-400.00012300100023125605511621300.00%30100.00%028263644.34%35573948.04%15332147.66%181128812616.7%4.3%90.9%95.3Unlucky
10BlackhawksKings1010000046-200.00047110011202698904314162711100.00%8275.00%028263644.34%35573948.04%15332147.66%15930813542.9%15.4%86.0%101.4FUN
11BlackhawksCoyotes1010000056-100.000591400320033141450491510223133.33%5180.00%028263644.34%35573948.04%15332147.66%211325713644.4%15.2%87.8%102.9FUN
12BlackhawksStars2200000042241.0004610003100661429230712541371100.00%110100.00%028263644.34%35573948.04%15332147.66%45294916251266.7%6.1%97.2%103.2DULL
13BlackhawksDucks2010010037-410.25036900300041141017076281445500.00%50100.00%028263644.34%35573948.04%15332147.66%35215717281230.0%7.3%90.8%98.1Unlucky
14BlackhawksSharks2010010024-210.25024600200051191319059192245200.00%60100.00%128263644.34%35573948.04%15332147.66%44274916281333.3%3.9%93.2%97.1DULL
15BlackhawksKraken1100000032121.0003580011102368902776215120.00%30100.00%028263644.34%35573948.04%15332147.66%191126814650.0%13.0%92.6%105.6LUCKY
_Vs Division724000011525-1050.357152540009510194627161328374851392328.70%28196.43%028263644.34%35573948.04%15332147.66%1469418257954535.1%7.7%91.2%98.9DULL
_Vs Conference17311002013558-2390.2653562970019970430143138149359318417937848612.50%67789.55%128263644.34%35573948.04%15332147.66%35322243714123710936.3%8.1%90.2%98.4Unlucky
_Since Last GM Reset19312002023964-25100.2633969108002010904911591671621066120620043652713.46%75889.33%128263644.34%35573948.04%15332147.66%40025248615826512436.4%7.9%90.3%98.3Unlucky
Total19312002023964-25100.2633969108002010904911591671621066120620043652713.46%75889.33%128263644.34%35573948.04%15332147.66%40025248615826512436.4%7.9%90.3%98.3Unlucky

Puck Time
Offensive Zone 21
Neutral Zone 13
Defensive Zone 25
Puck Time
Offensive Zone Start 636
Neutral Zone Start 321
Defensive Zone Start 739
Puck Time
With Puck 28
Without Puck 32
Faceoffs
Faceoffs Won 790
Faceoffs Lost 906
Team Average Shots after League Average Shots after
1st Period 8.410.69
2nd Period 17.221.35
3rd Period 25.732.03
Overtime 26.232.64
Goals in Team Average Goals after League Average Goals after
1st Period 1.11.08
2nd Period 1.62.13
3rd Period 2.12.97
Overtime 2.13.07
Even Strenght Goal 31
PP Goal 7
PK Goal 1
Empty Net Goal 0
Home Away
Win 03
Lost 57
Overtime Lost 22
PP Attempt 52
PP Goal 7
PK Attempt 75
PK Goal Against 8
Home
Shots For 25.8
Shots Against 34.8
Goals For 2.1
Goals Against 3.4
Hits 22.9
Shots Blocked 10.8
Pim 10.5