Edgehalla
Frank Nazar headshotChicago Blackhawks logo

Chicago Blackhawks

Frank Nazar

23.8

#91Center5'10"190 lb

0.0 in 2 days
2026-27 regular season
2
GP
0
G
0
A
0
P
3
SOG
0.0% SH
17:42
TOI/GP

C · CHI · NHL id 8483493

Frank Nazar has played 2 games for the Chicago Blackhawks in 2026-27, scoring 0 goals and 0 assists (0 points) on 3 shots while averaging 17:42 a night (14:01 at even strength, 1:54 on the power play and 1:41 shorthanded). At 5v5 he has skated 43% of his 5v5 minutes with Bowen Byram and 42% with Artyom Levshunov over the last 2 games, and the Blackhawks have controlled 55% of shot attempts with Nazar on the ice (0-2 in goals, 58% offensive-zone starts). In the Blackhawks' most recent game against UTA he was on L3 with Teuvo Teravainen and Roman Kantserov and on PP2.

Right now

From the Oct 1 game vs UTA, detected from shift data

Last 2: L2/PP2 · L2/PP2
Ascension25Fallinglast 2 games vs previous 20 (incl. last season), through Oct 1, 2026
  • 0 P in last 2 (0.70/GP before)
  • PP1 in 0 of last 2 (was 19 of 20)
  • −1:29 PP TOI
  • 18% of 5v5 TOI with top players (was 57%)

Deployment timeline

2026-27 · per-game ice time by strength, with line and power-play unit changes

Usage: 2 games, 17:36 average time on ice, PP1 in 0 games, 0 line changes.

PPLine220m3m7m10m13m17m20mSep 29Oct 1
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
2 games shown, 17:36 average. Line and PP unit come from where the player's ice time ranks among his teammates that night.

NHL EDGE tracking

2025-26 percentiles among skaters at his position

Source: NHL EDGE

Only 2 GP in 2026-27; showing 2025-26 NHL EDGE data.

Top speed97th9823.8 mph
Bursts 20+ mph93rd93190
Hardest shot94th9594.0 mph
Offensive-zone time42nd4241.5%
Distance skated74th75193.6 mi
High-danger SOG77th7853
Percentile among position peers│ tick = 3-season weighted

Season-level NHL EDGE puck and player tracking, refreshed nightly. The percentile is the league rank among skaters this season; the label at the right is the raw value.

Shot map

2026-27 · 4 attempts, 3 on goal, 0 goals

Shot map, OPP at CHI: 4 attempts, 3 on goal, 0 goals, 0.38 expected goals; best chance Frank Nazar at 0.13 xG.

  • Even strength
  • Power play
  • Penalty kill
  • Goal
  • Shot on goal
  • Missed
  • Blocked
Every attempt (goals, shots, misses and blocks), attacking toward the right (or the top on phones).

Luck

2025-26 · 66 GP · 41 points vs 43.0 expected

Luck Meter →
Hold

Last 20 games: +11. Positive means running hot (sell), negative running cold (buy).

10.9%
100.0
70.7%
G vs xG
15 / 17.5
  • • Role shrank over the last 10 games (TOI down 1:26 a game, 2 demotion events): the cold spell may not be all luck.
Goals against expected goals
05101520-2.5goals below expected-0.6σ10/74/15
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

2025-26 regular season. Rank is among all qualified players; the bar is his percentile among forwards. Each stat links to its explainer.

  • 2026-27 so far: 2 GP, 0 G, 0 A, 0 PPP, 3 SOG.

Fantasy box score

  • Games played66
  • Goals15190th
  • Assists26174th
  • Points41186th
  • Power-play points12151st
  • Shorthanded points1111th
  • Shots on goal138185th
  • Hits37486th
  • Blocked shots43304th
  • Plus/minus−21682nd
  • Penalty minutes26351st
  • Faceoffs won40174th

Possession & shot quality (5-on-5 on-ice)

Transition, turnovers & faceoffs

Usage

Special teams & discipline

Luck & trend

NHL EDGE tracking

Unranked rows are below the sample minimum (20 GP, 200 five-on-five minutes, 100 draws or 10 goalie games).

Beyond the box score

2025-26 regular season · 65 of 66 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.043
Season net
−0.63xG

5-on-5. Each takeaway is credited, and each giveaway charged, at the league xG value of the zone.

MethodLeaders
Per 100 draws
−0.031
Season
−0.26G
47.4%846 draws

Wins by zone: OZ 152-171 · NZ 120-130 · DZ 129-144

MethodLeaders
Per 60
1.24
Attempts
18
0.070

5-on-5 shots within 10 seconds of winning the puck outside the offensive zone.

MethodLeaders
Season
+1.83G
Per 60
+0.091
Drawn / taken
22 / 13minors

MethodLeaders
43.6%
41.1%
43.4%
Transition CF/60
4.2
Turnovers won/60
18.9
Turnovers lost/60
23.3

5-on-5 while he is on the ice.

MethodLeaders
  • More of his shots than the league
  • Fewer
138 shots on goal, 15 goals, all situations
AreaHis shareLeagueG
Low Slot32%23%9
R Circle17%12%1
L Point1%5%0
Outside L1%4%0
Center Point6%9%0
R Point3%6%0
High Slot9%7%2

Role changes

Notable promotions, demotions and ice-time swings from Line Watch

All alerts →

How his goals happened

28 goals since 2023-24 with NHL EDGE tracking: press Replay to watch the tracking animation

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 6, 2026 @ SJSCycle—5*68.7one-timer
Mar 29, 2026 @ NJDForecheck turnover—064.5one-timer
Mar 29, 2026 @ NJDCycle—16.9—
Mar 24, 2026 @ NYIForecheck turnover—153.9one-timer
Mar 17, 2026 vs MINRushcarry142.9one-timer
Mar 12, 2026 @ UTAReboundcarry023.3rebound
Mar 9, 2026 vs UTACyclecarry363.74-on-2
Mar 6, 2026 vs VANDeflectionloose3*39.21-on-0, deflection
Jan 30, 2026 vs CBJRushcarry127.7—
Dec 18, 2025 @ MTLDeflectioncarry2*20.13-on-2
Oct 28, 2025 vs OTTOdd-man rushcarry058.71-on-0
Oct 23, 2025 @ TBLCycle—564.4one-timer
Oct 19, 2025 vs ANADump and chasedump212.6—
Oct 15, 2025 @ STLRushcarry228.2—
Oct 7, 2025 @ FLAOdd-man rushcarry068.61-on-0
Apr 15, 2025 @ OTTOdd-man rushcarry079.72-on-1
Apr 14, 2025 @ MTLForecheck turnover—3*73.4one-timer
Apr 12, 2025 vs WPGForecheck turnover—145.7one-timer
Apr 6, 2025 vs PITOdd-man rushcarry2*60.62-on-1
Apr 4, 2025 @ WSHRushcarry039.8—
Mar 26, 2025 vs NJDRebound—036.9rebound
Mar 13, 2025 @ SJSOdd-man rushpass274.64-on-3
Mar 7, 2025 vs UTAOdd-man rushcarry25.31-on-0
Feb 7, 2025 vs NSHRushcarry255.8one-timer
Jan 26, 2025 vs MINReboundcarry165.8rebound
Jan 24, 2025 vs TBLForecheck turnoverloose063.3—
Jan 8, 2025 vs COLReboundcarry040.1rebound
Apr 14, 2024 vs CAROdd-man rushcarry046.43-on-0

* includes a royal-road (cross-slot) pass. Derived from NHL EDGE puck and player tracking.

Linemates

2026-27 · 5v5 time together and how each pairing performs with and without Nazar

TeammatePosGPShareCF% togetherGF% togetherCF% Nazar apartCF% mate apart
Bowen ByramD212:0343%72.7%— (0-0)41.4% 15:5924.1% 28:55
Artyom LevshunovD211:4042%33.3%0% (0-1)66.7% 16:2247.2% 24:24
Ryan DonatoC211:3741%43.5%0% (0-1)64.3% 16:2516.7% 10:51
Wyatt KaiserD29:4435%35.3%0% (0-1)64.7% 18:1848.3% 27:20
Roman KantserovRW19:0733%69.2%0% (0-1)50.0% 5:1216.7% 3:31
Sam RinzelD29:0132%62.5%0% (0-1)48.1% 19:0147.5% 24:39
Nick LardisLW18:5432%28.6%0% (0-1)71.4% 4:490.0% 1:26
Alex VlasicD27:5428%70.0%— (0-0)51.2% 20:0813.3% 24:39
Patrick KaneRW27:5228%75.0%— (0-0)45.7% 20:1030.8% 25:48
Ian ColeD25:3120%54.5%0% (0-1)55.0% 22:3144.8% 18:21
Teuvo TeravainenLW14:4217%71.4%0% (0-1)56.3% 9:3746.2% 6:57
Tyler BertuzziLW23:5514%58.3%— (0-0)53.8% 24:0737.8% 24:35
Oliver MooreC23:0511%40.0%— (0-0)56.5% 24:5730.2% 19:47
Anton FrondellC11:154%20.0%— (0-0)56.5% 12:2830.8% 12:07

Game log

2 games in 2026-27, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Oct 1@ UTAL 0-6000-1021043%17:2314:192:120:52
Sep 29@ VGKL 2-5000-2300047%18:0113:431:362:29

Season splits by strength

2026-27 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations235:2417:42342954.0%50.0%1317030%1.52.556%
Even strength228:0214:01282354.9%50.0%1013020%1.21.258%
5v5228:0214:01282354.9%50.0%1013020%1.21.258%
Power play23:481:544266.7%60.0%1200—0.20.3100%
Penalty kill23:211:412340.0%50.0%2100—0.10.40%
5v423:481:544266.7%60.0%1200—0.20.3100%
4v523:211:412340.0%50.0%2100—0.10.40%

Career by season

Seasons in Edgehalla's data (2025-26 is being backfilled; earlier seasons follow)

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2026-27CHI2000-3230.0%1017:42
2025-26CHI66152641-212613810.9%374318:19
2024-25CHI53121426-11249113.2%303515:52
2023-24CHI3101-40250.0%0116:09

Frank Nazar news

Headlines via LineupExperts. Links open the original publisher.

On-ice and deployment numbers are derived by Edgehalla from NHL play-by-play and shift data. Tracking percentiles are from NHL EDGE. Data updates after every game.