Tuesday, October 13
8:00 PM ET · United Center
The short version
Before the game
The Blackhawks’ goalie is in for some dangerous shots
The Blackhawks are 1-4-0. The Penguins haven’t won in three. Pittsburgh has controlled the play far better over recent games and Chicago has home ice. Chicago can pull it off if they pounce on loose pucks.
The Blackhawks are 1-4-0. The Penguins haven’t won in three. Pittsburgh has controlled the play far better over recent games and Chicago has home ice. Chicago can make it interesting if they pounce on loose pucks.
The Penguins make their shots count, and the Blackhawks allow dangerous ones. The Penguins and the Blackhawks sit at opposite ends for shots from in close.
Who to watch
- Owns themBryan Rust has a point in five straight games against Chicago.
- Slow startSidney Crosby is still looking for his first goal of the season.
The Blackhawks’ goalie is in for some dangerous shots
The Penguins make their shots count, and the Blackhawks are around the middle of the league at preventing dangerous shots. Expect the Penguins to get some real chances.
The call The Penguins’ average shot has at least their usual 6.9% chance of going in.
Pittsburgh 3rd for shot quality (a 6.9% chance of scoring on the average shot) · Chicago 22nd for preventing dangerous shots
Style fingerprint · this season blended with last · 5 and 5 games this season
The Penguins should pile up the shots
The Penguins shoot a lot, and the Blackhawks are near the bottom of the league at keeping shots down. Look for a big shot total.
The call The Penguins take at least their usual 58.8 shot attempts per 60 at 5-on-5.
Pittsburgh 9th for shot volume (58.8 shot attempts per 60 at 5-on-5) · Chicago 26th for shot suppression
Style fingerprint · this season blended with last · 5 and 5 games this season
The Penguins get in close; the Blackhawks shoot from distance
The Penguins are the league’s best for shots from in close, at the close-range end; the Blackhawks are the league’s worst, at the long-range end. Expect that gap to show.
The call The Penguins take a bigger share of their shots from within 20 feet than the Blackhawks.
Shots from in close: Pittsburgh 1st, Chicago 32nd
Style fingerprint · this season blended with last · 5 and 5 games this season
These calls are written by fixed rules from the numbers below, and saved as they stand at puck drop. After the game, each one will be checked against what happened.
Style fingerprints
How Pittsburgh and Chicago play, trait by trait, on the same scales.
Each scale runs from the league’s lowest team on the left to its highest on the right. Numbers blend last season with the 5 and 5 games played so far; traits that take longer to settle lean more on last season.
This season only: 5 games for Pittsburgh, 5 for Chicago. Expect these to swing a lot, which is why the likely ranges are so wide.
The biggest differences
- Shots from in closeFrom distanceIn close
Pittsburgh: 34.3% of shots come from within 20 feet1st of 32
Pittsburgh: 36.8% of shots come from within 20 feet3rd of 32
Chicago: 26.5% of shots come from within 20 feet32nd of 32
Chicago: 25.0% of shots come from within 20 feet29th of 32
- Shot qualityHopefulDangerous
Pittsburgh: a 6.9% chance of scoring on the average shot3rd of 32
Pittsburgh: a 7.4% chance of scoring on the average shot3rd of 32
Chicago: a 6.0% chance of scoring on the average shot28th of 32
Chicago: a 5.5% chance of scoring on the average shot28th of 32
- Shot volumeSelectiveRelentless
Pittsburgh: 58.8 shot attempts per 609th of 32
Pittsburgh: 58.8 shot attempts per 609th of 32
Chicago: 45.8 shot attempts per 6030th of 32
Chicago: 42.8 shot attempts per 6030th of 32
- PaceSlogTrack meet
Pittsburgh: 84.9 shots per 60, both teams combined3rd of 32
Pittsburgh: 90.4 shots per 60, both teams combined3rd of 32
Chicago: 81.3 shots per 60, both teams combined21st of 32
Chicago: 78.7 shots per 60, both teams combined19th of 32
- DepthTop-heavyDeep
Pittsburgh: 43.6% of forward ice time at 5-on-5 goes to the bottom six6th of 32
Pittsburgh: 43.7% of forward ice time at 5-on-5 goes to the bottom six11th of 32
Chicago: 41.2% of forward ice time at 5-on-5 goes to the bottom six22nd of 32
Chicago: 41.9% of forward ice time at 5-on-5 goes to the bottom six19th of 32
- Power playHarmlessLethal
Pittsburgh: 7.4 expected goals per 60 on the power play15th of 32
Pittsburgh: 6.6 expected goals per 60 on the power play19th of 32
Chicago: 6.1 expected goals per 60 on the power play31st of 32
Chicago: 4.6 expected goals per 60 on the power play27th of 32
Show all 18 traitsHide the full set
Offense
- Shot volumeSelectiveRelentless
Pittsburgh: 58.8 shot attempts per 609th of 32
Pittsburgh: 58.8 shot attempts per 609th of 32
Chicago: 45.8 shot attempts per 6030th of 32
Chicago: 42.8 shot attempts per 6030th of 32
- Shot qualityHopefulDangerous
Pittsburgh: a 6.9% chance of scoring on the average shot3rd of 32
Pittsburgh: a 7.4% chance of scoring on the average shot3rd of 32
Chicago: a 6.0% chance of scoring on the average shot28th of 32
Chicago: a 5.5% chance of scoring on the average shot28th of 32
- Second chancesOne-and-doneCrashers
Pittsburgh: 10.0% of chances come from rebounds28th of 32
Pittsburgh: 5.8% of chances come from rebounds27th of 32
Chicago: 10.3% of chances come from rebounds14th of 32
Chicago: 8.9% of chances come from rebounds18th of 32
- Off-turnover offensePatientOpportunist
Pittsburgh: 7.5% of chances come right after a turnover13th of 32
Pittsburgh: 6.7% of chances come right after a turnover20th of 32
Chicago: 7.6% of chances come right after a turnover10th of 32
Chicago: 4.2% of chances come right after a turnover26th of 32
- Shots from defensemenForward-ledActive D
Pittsburgh: 34.4% of shot attempts come from defensemen17th of 32
Pittsburgh: 36.1% of shot attempts come from defensemen9th of 32
Chicago: 35.4% of shot attempts come from defensemen12th of 32
Chicago: 33.9% of shot attempts come from defensemen17th of 32
- Shots from in closeFrom distanceIn close
Pittsburgh: 34.3% of shots come from within 20 feet1st of 32
Pittsburgh: 36.8% of shots come from within 20 feet3rd of 32
Chicago: 26.5% of shots come from within 20 feet32nd of 32
Chicago: 25.0% of shots come from within 20 feet29th of 32
Defense
- Shot suppressionPorousStingy
Pittsburgh: 58.8 shot attempts allowed per 6022nd of 32
Pittsburgh: 62.2 shot attempts allowed per 6025th of 32
Chicago: 60.0 shot attempts allowed per 6026th of 32
Chicago: 60.4 shot attempts allowed per 6024th of 32
- Quality allowedExposedSheltered
Pittsburgh: a 6.6% chance of scoring on the average shot against27th of 32
Pittsburgh: a 6.8% chance of scoring on the average shot against23rd of 32
Chicago: a 6.5% chance of scoring on the average shot against22nd of 32
Chicago: a 6.8% chance of scoring on the average shot against24th of 32
- Breakdowns avoidedFire drillComposed
Pittsburgh: 0.42 defensive breakdowns per 6020th of 32
Pittsburgh: 0.76 defensive breakdowns per 6027th of 32
Chicago: 0.37 defensive breakdowns per 605th of 32
Chicago: 0.48 defensive breakdowns per 6018th of 32
- GoaltendingSieveWall
Pittsburgh: +0.08 goals saved above expected per 6023rd of 32
Pittsburgh: +0.38 goals saved above expected per 6016th of 32
Chicago: +0.08 goals saved above expected per 6021st of 32
Chicago: −0.47 goals saved above expected per 6023rd of 32
Tempo and edge
- PaceSlogTrack meet
Pittsburgh: 84.9 shots per 60, both teams combined3rd of 32
Pittsburgh: 90.4 shots per 60, both teams combined3rd of 32
Chicago: 81.3 shots per 60, both teams combined21st of 32
Chicago: 78.7 shots per 60, both teams combined19th of 32
- Forecheck pressurePassiveHounding
Pittsburgh: forecheck score 70 (100 is league average)32nd of 32Pittsburgh: 15.8 forecheck plays recorded per 6032nd of 32
Pittsburgh: forecheck score 56 (100 is league average)32nd of 32Pittsburgh: 13.5 forecheck plays recorded per 6032nd of 32
Chicago: forecheck score 83 (100 is league average)29th of 32Chicago: 18.6 forecheck plays recorded per 6030th of 32
Chicago: forecheck score 84 (100 is league average)24th of 32Chicago: 20.2 forecheck plays recorded per 6026th of 32
- PhysicalityFinesseBruising
Pittsburgh: hit score 66 (100 is league average)32nd of 32Pittsburgh: 17.2 hits recorded per 6032nd of 32
Pittsburgh: hit score 51 (100 is league average)32nd of 32Pittsburgh: 14.2 hits recorded per 6032nd of 32
Chicago: hit score 76 (100 is league average)31st of 32Chicago: 20.0 hits recorded per 6030th of 32
Chicago: hit score 72 (100 is league average)29th of 32Chicago: 20.7 hits recorded per 6029th of 32
- DepthTop-heavyDeep
Pittsburgh: 43.6% of forward ice time at 5-on-5 goes to the bottom six6th of 32
Pittsburgh: 43.7% of forward ice time at 5-on-5 goes to the bottom six11th of 32
Chicago: 41.2% of forward ice time at 5-on-5 goes to the bottom six22nd of 32
Chicago: 41.9% of forward ice time at 5-on-5 goes to the bottom six19th of 32
Special teams
- Power playHarmlessLethal
Pittsburgh: 7.4 expected goals per 60 on the power play15th of 32
Pittsburgh: 6.6 expected goals per 60 on the power play19th of 32
Chicago: 6.1 expected goals per 60 on the power play31st of 32
Chicago: 4.6 expected goals per 60 on the power play27th of 32
- Penalty killLeakyAirtight
Pittsburgh: 7.0 expected goals allowed per 60 shorthanded6th of 32
Pittsburgh: 6.8 expected goals allowed per 60 shorthanded16th of 32
Chicago: 7.4 expected goals allowed per 60 shorthanded16th of 32
Chicago: 6.4 expected goals allowed per 60 shorthanded13th of 32
- Power killBunkeredPredatory
Pittsburgh: 1.0 expected goals created per 60 shorthanded12th of 32
Pittsburgh: 2.1 expected goals created per 60 shorthanded4th of 32
Chicago: 1.0 expected goals created per 60 shorthanded13th of 32
Chicago: 2.8 expected goals created per 60 shorthanded1st of 32
- DisciplineRecklessClean
Pittsburgh: 0.01 more penalties taken than drawn per 6020th of 32
Pittsburgh: 0.39 more penalties drawn than taken per 6011th of 32
Chicago: 0.09 more penalties taken than drawn per 6024th of 32
Chicago: 0.40 more penalties taken than drawn per 6024th of 32
Forecheck pressure and physicality are arena-adjusted scores; switch “Hits and takeaways” to Raw in the settings to see the numbers as recorded. How the arena adjustment works.
Lines and deployment
Chicago is at home, so their coach changes last and chooses who plays against whom.
Lines and pairs are numbered by 5-on-5 ice time together over each team’s last 10 games (5 and 5 so far), with each older game counting half as much as the one after it, so the latest combinations come first. With so few games, each group’s results are pulled toward the average for its line number.
Pittsburgh Penguins
- L19:57 a game
- Creates
- 3.21
- Allows
- 2.47
- Share
- 56.5%
- Off. zone draws
- 71%
- L2New9:59 last game
- Creates
- 3.09
- Allows
- 2.74
- Share
- 53.0%
- Off. zone draws
- 100%
- L37:00 a gamein 2 of last 5
C. DewarB. LizotteN. Robertson
- Creates
- 2.44
- Allows
- 2.27
- Share
- 51.8%
- Off. zone draws
- 8%
- L4New8:17 last game
H. LapierreV. KoivunenB. Kindel
- Creates
- 2.72
- Allows
- 2.71
- Share
- 50.1%
- Off. zone draws
- 33%
- P113:30 a game
- Creates
- 2.76
- Allows
- 2.50
- Share
- 52.4%
- Off. zone draws
- 45%
- P211:27 a game
- Creates
- 3.22
- Allows
- 2.98
- Share
- 51.9%
- Off. zone draws
- 54%
- P311:28 a game
- Creates
- 2.51
- Allows
- 2.89
- Share
- 46.4%
- Off. zone draws
- 42%
Chicago Blackhawks
- L110:27 a game
- Creates
- 2.96
- Allows
- 2.25
- Share
- 56.7%
- Off. zone draws
- 24%
- L2New12:05 last game
T. BertuzziR. KantserovA. Frondell
- Creates
- 2.95
- Allows
- 2.06
- Share
- 58.9%
- Off. zone draws
- 62%
- L3New5:10 last game
- Creates
- 2.38
- Allows
- 2.34
- Share
- 50.4%
- Off. zone draws
- 100%
- L4New2:25 last game
- Creates
- 2.45
- Allows
- 2.69
- Share
- 47.6%
- Off. zone draws
- –
- P113:57 a gamein 3 of last 5
- Creates
- 2.40
- Allows
- 2.12
- Share
- 53.2%
- Off. zone draws
- 30%
- P213:30 a gamein 2 of last 5
- Creates
- 2.58
- Allows
- 2.49
- Share
- 50.8%
- Off. zone draws
- 82%
- P311:38 a gamein 2 of last 5
- Creates
- 2.59
- Allows
- 2.56
- Share
- 50.3%
- Off. zone draws
- 50%
Worth knowing
Who Chicago is likely to send against whom
Each strip shows how one Chicago group’s 5-on-5 time at home has been split across opponents’ four forward lines. Tonight those lines are Pittsburgh’s, named in each box.
Pittsburgh’s lines tonightL1 Malkin · Novak · ChinakhovL2 Crosby · Rust · RakellL3 Dewar · Lizotte · RobertsonL4 Lapierre · Koivunen · Kindel
Chicago forward lines against Pittsburgh forward lines
- L1Greenway · Smith · GreenePIT L146%PIT L213%PIT L321%PIT L420%
- L2Bertuzzi · Kantserov · FrondellPIT L141%PIT L239%PIT L318%PIT L41%
- L3Kane · Nazar · LardisPIT L124%PIT L233%PIT L321%PIT L422%
- L4Toninato · Donato · MoorePIT L18%PIT L230%PIT L320%PIT L442%
Chicago defense pairs against Pittsburgh forward lines
- P1Cole · VlasicPIT L172%PIT L213%PIT L38%PIT L47%
- P2Byram · LevshunovPIT L112%PIT L248%PIT L317%PIT L423%
- P3Kaiser · RinzelPIT L14%PIT L231%PIT L339%PIT L426%
Based on 1 Chicago home game this season, so treat it as a habit forming, not a certainty. Faded rows have under ten minutes. With no line matching, each group would face an opposing line about as often as that line is on the ice; a number well above that means the coach is sending that group out against it on purpose.
Special teams
Each power play set against the penalty killers it will face.
Pittsburgh power play against Chicago penalty kill
Pittsburgh power play
7.4 expected goals per 60 · 15th of 32
Chicago penalty kill
7.4 expected goals allowed per 60 · 16th of 32
Pittsburgh power play
PP171% of the time
Creates 7.4 expected goals per 60
- E. KarlssonQuarterback
- S. CrosbyDistributor
- R. RakellTrigger
- T. Novak
- B. Kindel
PP229% of the time
Creates 6.4 expected goals per 60
- K. LetangQuarterback
- E. Chinakhov
- E. MalkinTrigger
- H. Lapierre
- A. Kuzmenko
Chicago penalty kill
Starts the kill
- F. Nazar8 of 11 kills · 0:44 a kill · takes the draw
- T. Teravainen5 of 11 kills · 0:46 a kill
- A. VlasicD11 of 11 kills · 0:56 a kill
- I. ColeD10 of 11 kills · 0:57 a kill
Second wave
- C. Smith11 of 11 kills · 0:42 a kill
- R. Greene11 of 11 kills · 0:35 a kill · takes the draw
- A. Frondell11 of 11 kills · 0:34 a kill · takes the draw
- J. Greenway8 of 11 kills · 0:42 a kill
- A. LevshunovD9 of 11 kills · 0:50 a kill
- W. KaiserD9 of 11 kills · 0:42 a kill
Spot duty
- B. ByramD4 of 11 kills · 0:32 a kill
Chicago power play against Pittsburgh penalty kill
Chicago power play
6.1 expected goals per 60 · 31st of 32
Pittsburgh penalty kill
7.0 expected goals allowed per 60 · 6th of 32
Chicago power play
PP173% of the time
Creates 5.7 expected goals per 60
- B. ByramQuarterback
- P. Kane
- R. Kantserov
- T. BertuzziTrigger
- A. Frondell
PP227% of the time
Creates 7.0 expected goals per 60
- S. RinzelQuarterback
- F. NazarTrigger
- N. Lardis
- O. Moore
- R. Donato
Pittsburgh penalty kill
Starts the kill
- C. Dewar11 of 12 kills · 1:06 a kill
- B. Lizotte10 of 12 kills · 1:02 a kill · takes the draw
- T. van RiemsdykD11 of 12 kills · 1:15 a kill
- D. CarlileD10 of 12 kills · 1:14 a kill
Second wave
- B. Kindel8 of 12 kills · 0:50 a kill
- R. Rakell9 of 12 kills · 0:36 a kill
- B. Rust6 of 12 kills · 0:53 a kill
- N. Robertson6 of 12 kills · 0:30 a kill
- K. KorczakD11 of 12 kills · 0:52 a kill
- S. GirardD10 of 12 kills · 0:51 a kill
- E. KarlssonD6 of 12 kills · 0:54 a kill
Spot duty
- F. Hallander4 of 12 kills · 0:53 a kill
- E. Soderblom2 of 12 kills · 0:55 a kill
Units and penalty-kill roles use each team’s last 10 games; power-play role tags use this season and last, counting only games with the player’s current team; the map shows the last 140 power-play shots. Point at a power-play name to see his shots on the map.
Goaltending
Is each goalie stopping more than he should, and what is his team asking him to face?
A. Silovs39 starts · 1092 shots, this season and last
−4.8 goals saved above expected

- Low-danger save %
- .964 529 shots
- Medium-danger save %
- .867 413 shots
- High-danger save %
- .660 150 shots
- Shots faced per 60
- 27
- Defensive breakdowns per 60
- 0.42
- Quality starts
- 51%
S. Murashov7 starts · 196 shots, this season and last
+2.2 goals saved above expected too few starts to rate

- Low-danger save %
- .962 104 shots
- Medium-danger save %
- .853 68 shots
- High-danger save %
- .875 24 shots
- Shots faced per 60
- 29.1
- Defensive breakdowns per 60
- 0.3
- Quality starts
- 57%
Helping, or hung out to dry?
S. Knight58 starts · 1674 shots, this season and last
+15.8 goals saved above expected

- Low-danger save %
- .981 828 shots
- Medium-danger save %
- .855 602 shots
- High-danger save %
- .746 244 shots
- Shots faced per 60
- 28.9
- Defensive breakdowns per 60
- 0.38
- Quality starts
- 50%
A. Soderblom26 starts · 824 shots, this season and last
−10.3 goals saved above expected

- Low-danger save %
- .970 397 shots
- Medium-danger save %
- .835 291 shots
- High-danger save %
- .691 136 shots
- Shots faced per 60
- 31.2
- Defensive breakdowns per 60
- 0.26
- Quality starts
- 35%
Show the full goalie comparisonHide the full goalie comparison
- Stopping more than expectedSieveWall
- A. Silovs: −4.8 goals saved above expected in 39 starts
- S. Murashov: +2.2 goals saved above expected in 7 starts (too few starts to place)
- S. Knight: +15.8 goals saved above expected in 58 starts
- A. Soderblom: −10.3 goals saved above expected in 26 starts
- How busy he isQuietUnder siege
- A. Silovs: 27 shots faced per 60
- S. Murashov: 29.1 shots faced per 60 (too few starts to place)
- S. Knight: 28.9 shots faced per 60
- A. Soderblom: 31.2 shots faced per 60
- How dangerous the shots areShelteredExposed
- A. Silovs: the average shot he faces has a 7.1% chance of going in
- S. Murashov: the average shot he faces has a 6.3% chance of going in (too few starts to place)
- S. Knight: the average shot he faces has a 7.0% chance of going in
- A. Soderblom: the average shot he faces has a 7.4% chance of going in
- Breakdowns in front of himRareConstant
- A. Silovs: 0.42 defensive breakdowns in front of him per 60
- S. Murashov: 0.3 defensive breakdowns in front of him per 60 (too few starts to place)
- S. Knight: 0.38 defensive breakdowns in front of him per 60
- A. Soderblom: 0.26 defensive breakdowns in front of him per 60
- Waiting between shotsSteady workLong waits
- A. Silovs: a typical wait of 77 seconds between shots
- S. Murashov: a typical wait of 66 seconds between shots (too few starts to place)
- S. Knight: a typical wait of 70 seconds between shots
- A. Soderblom: a typical wait of 66 seconds between shots
- Night-to-night steadinessStreakySteady
- A. Silovs: a quality start 51% of the time
- S. Murashov: a quality start 57% of the time (too few starts to place)
- S. Knight: a quality start 50% of the time
- A. Soderblom: a quality start 35% of the time
A. Silovs, night to night: goals saved above expected in each start
S. Murashov, night to night: goals saved above expected in each start
S. Knight, night to night: goals saved above expected in each start
A. Soderblom, night to night: goals saved above expected in each start
A. Silovs3 starts · 71 shots, this season
−1.1 goals saved above expected

- Low-danger save %
- 1.000 32 shots
- Medium-danger save %
- .714 28 shots
- High-danger save %
- .818 11 shots
- Shots faced per 60
- 24
- Defensive breakdowns per 60
- 0.68
- Quality starts
- 33%
S. Murashov2 starts · 80 shots, this season
+3.0 goals saved above expected

- Low-danger save %
- 1.000 38 shots
- Medium-danger save %
- .900 30 shots
- High-danger save %
- .833 12 shots
- Shots faced per 60
- 39.2
- Defensive breakdowns per 60
- 0.49
- Quality starts
- 100%
Helping, or hung out to dry?
S. Knight3 starts · 91 shots, this season
+0.3 goals saved above expected

- Low-danger save %
- 1.000 40 shots
- Medium-danger save %
- .838 37 shots
- High-danger save %
- .714 14 shots
- Shots faced per 60
- 30.5
- Defensive breakdowns per 60
- 0
- Quality starts
- 33%
A. Soderblom2 starts · 50 shots, this season
−2.6 goals saved above expected

- Low-danger save %
- .947 19 shots
- Medium-danger save %
- .619 21 shots
- High-danger save %
- 1.000 10 shots
- Shots faced per 60
- 25.5
- Defensive breakdowns per 60
- 1.02
- Quality starts
- 0%
Show the full goalie comparisonHide the full goalie comparison
- Stopping more than expectedSieveWall
- A. Silovs: −1.1 goals saved above expected in 3 starts
- S. Murashov: +3.0 goals saved above expected in 2 starts
- S. Knight: +0.3 goals saved above expected in 3 starts
- A. Soderblom: −2.6 goals saved above expected in 2 starts
- How busy he isQuietUnder siege
- A. Silovs: 24 shots faced per 60
- S. Murashov: 39.2 shots faced per 60
- S. Knight: 30.5 shots faced per 60
- A. Soderblom: 25.5 shots faced per 60
- How dangerous the shots areShelteredExposed
- A. Silovs: the average shot he faces has a 7.1% chance of going in
- S. Murashov: the average shot he faces has a 7.4% chance of going in
- S. Knight: the average shot he faces has a 7.0% chance of going in
- A. Soderblom: the average shot he faces has a 8.0% chance of going in
- Breakdowns in front of himRareConstant
- A. Silovs: 0.68 defensive breakdowns in front of him per 60
- S. Murashov: 0.49 defensive breakdowns in front of him per 60
- S. Knight: 0 defensive breakdowns in front of him per 60
- A. Soderblom: 1.02 defensive breakdowns in front of him per 60
- Waiting between shotsSteady workLong waits
- A. Silovs: a typical wait of 78 seconds between shots
- S. Murashov: a typical wait of 46 seconds between shots
- S. Knight: a typical wait of 68 seconds between shots
- A. Soderblom: a typical wait of 114 seconds between shots
- Night-to-night steadinessStreakySteady
- A. Silovs: a quality start 33% of the time
- S. Murashov: a quality start 100% of the time
- S. Knight: a quality start 33% of the time
- A. Soderblom: a quality start 0% of the time
A. Silovs, night to night: goals saved above expected in each start
S. Murashov, night to night: goals saved above expected in each start
S. Knight, night to night: goals saved above expected in each start
A. Soderblom, night to night: goals saved above expected in each start
The menus list every goalie on each team, busiest this season first; the site does not yet know who will start. Expected-goal models can’t see passes before a shot, so a goalie whose team gives up many cross-ice passes looks worse here than he really is.
Where the goals come from
How each team’s goals are scored, or allowed, against the league average.
- Everyday even-strength play56.7%59.1%
- Power play19.6%18.2%
- Rebound5%7.7%
- Empty net5.3%5%
- Off a turnover6.5%4.5%
- Goalie pulled3.4%0.9%
- Shorthanded1.6%2.3%
- Off a faceoff win1.9%2.3%
321 Pittsburgh goals and 220 Chicago goals scored this season and last. Each row has its own scale.
- Everyday even-strength play70%60%
- Power play20%10%
- Rebound0%0%
- Empty net0%20%
- Off a turnover5%0%
- Goalie pulled0%10%
- Shorthanded5%0%
- Off a faceoff win0%0%
20 Pittsburgh goals and 10 Chicago goals scored this season. Each row has its own scale.
- Everyday even-strength play54.2%62.2%
- Power play16.3%14.4%
- Rebound9.4%7.6%
- Empty net5.9%5.8%
- Off a turnover6.6%5.5%
- Goalie pulled3.8%2.7%
- Shorthanded3.5%0.7%
- Off a faceoff win0.3%1%
288 Pittsburgh goals and 291 Chicago goals allowed this season and last. Each row has its own scale.
- Everyday even-strength play46.7%52.4%
- Power play6.7%19%
- Rebound13.3%4.8%
- Empty net0%9.5%
- Off a turnover20%4.8%
- Goalie pulled13.3%4.8%
- Shorthanded0%0%
- Off a faceoff win0%4.8%
15 Pittsburgh goals and 21 Chicago goals allowed this season. Each row has its own scale.
These mixes are mostly luck: over three seasons, teams’ goals came from much the same places, and most of the differences here didn’t last. Each team page shows how much luck alone can move each row.
Data notes
- Sources. Game data from the NHL; expected goals from this site’s own model, cross-checked against MoneyPuck.com.
- Early season. Pittsburgh has played 5 games and Chicago 5, so most numbers blend this season with last. The season switch at the top shows this season alone.
- Percentiles and ranks compare a team or player with the rest of the league: 90 means better than 90% of the league at that thing.
- Blind spots. Public game data doesn’t record passes before a shot, where defenders are standing, or rushes up the ice, so the site shows none of those.
- Hits, giveaways and takeaways depend on each arena’s scorer; anything built on them is arena-adjusted. How it works.
- Key players for each side are on the team pages.
Team pages: Pittsburgh Penguins · Chicago Blackhawks