Edgehalla
Connor Bedard headshotChicago Blackhawks logo

Chicago Blackhawks

Connor Bedard

#98Center5'10"190 lb

+3.2 in 3 days
2025-26 regular season
69
GP
30
G
45
A
75
P
226
SOG
13.3% SH
20:52
TOI/GP

C · CHI · NHL id 8484144

Connor Bedard has played 69 games for the Chicago Blackhawks in 2025-26, scoring 30 goals and 45 assists (75 points) on 226 shots while averaging 20:52 a night (16:40 at even strength, 3:29 on the power play and 0:01 shorthanded). At 5v5 he has skated 64% of his 5v5 minutes with Nick Lardis and 48% with Wyatt Kaiser over the last 10 games, and the Blackhawks have controlled 44% of shot attempts with Bedard on the ice (53-65 in goals, 67% offensive-zone starts). In the Blackhawks' most recent game against SJS he was on L2 with Frank Nazar and Nick Lardis and on PP1. He is shooting 13.3% this season against 12.0% across the 219 games in our data.

Right now

From the Apr 15 game vs SJS, detected from shift data

Last 5: L1/PP1 · L1/PP1 · L1/PP1 · L1/PP1 · L1/PP1

Deployment timeline

2025-26 · per-game ice time by strength, with line and power-play unit changes

Usage: 20 games, 20:03 average time on ice, PP1 in 20 games, 4 line changes.

PPLine12▼1▲111111111112▼1▲11110m8m17m25mMar 8Mar 12Mar 17Mar 20Mar 24Mar 27Mar 31Apr 4Apr 9Apr 13
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 20:03 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
Top speed56th5722.4 mph
Bursts 20+ mph94th95195
Hardest shot86th8790.7 mph
Offensive-zone time52nd5242.3%
Distance skated91st92235.0 mi
High-danger SOG78th7954
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

Last 10 games · 57 attempts, 30 on goal, 0 goals

Shot map, OPP at CHI: 57 attempts, 30 on goal, 0 goals, 2.89 expected goals; best chance Connor Bedard at 0.27 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 · 69 GP · 75 points vs 70.6 expected

Luck Meter →
Hold

Last 20 games: -32. Positive means running hot (sell), negative running cold (buy).

13.3%
100.8
82.4%
G vs xG
30 / 30.5
  • • Shot diet worsened: 0.067 xG per attempt lately vs 0.095 before.
Goals against expected goals
0102030-0.5goals below expected-0.1σ10/74/15
  • 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.

Fantasy box score

  • Games played69
  • Goals3040th
  • Assists4540th
  • Points7535th
  • Power-play points2166th
  • Shorthanded points0227th
  • Shots on goal22624th
  • Hits31533rd
  • Blocked shots27493rd
  • Plus/minus−18662nd
  • Penalty minutes50104th
  • Faceoffs won31597th

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 · 69 of 69 games through the sequence engine

MethodLeaders
−0.026
Season net
−0.48xG

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

MethodLeaders
Per 100 draws
−0.024
Season
−0.16G
47.1%669 draws

Wins by zone: OZ 102-115 · NZ 112-136 · DZ 101-103

MethodLeaders
Per 60
1.85
Attempts
34
0.150

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

MethodLeaders
Season
+1.22G
Per 60
+0.051
Drawn / taken
31 / 25minors

MethodLeaders
44.9%
35.7%
44.6%
Transition CF/60
4.5
Turnovers won/60
21.5
Turnovers lost/60
23.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
226 shots on goal, 30 goals, all situations
AreaHis shareLeagueG
R Circle25%12%7
R Point1%6%0
Low Slot19%23%9
L Point2%5%1
R Corner3%0%0
High Slot10%7%0
Outside R2%4%0

Role changes

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

All alerts →

How the goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Mar 26, 2026 @ PHIRebound—061.9rebound
Mar 22, 2026 vs NSHReboundcarry211.71-on-0, rebound
Mar 19, 2026 @ MINOdd-man rushcarry034.11-on-0
Mar 12, 2026 @ UTAReboundcarry053.6rebound
Mar 8, 2026 @ DALDump and chasedump159.83-on-2
Feb 28, 2026 @ COLRushpass3*58.8—
Feb 26, 2026 @ NSHForecheck turnover—064.7—
Feb 2, 2026 vs SJSCycle—5*39.2one-timer
Jan 30, 2026 vs CBJRebound—025.1rebound
Jan 29, 2026 @ PITOdd-man rushcarry067.82-on-1
Jan 19, 2026 vs WPGOdd-man rushpass148.52-on-1
Dec 10, 2025 vs NYROdd-man rushcarry131.24-on-2, one-timer
Dec 4, 2025 @ LAKRebound—630.9one-timer, rebound
Dec 2, 2025 @ VGKRushcarry151.8—
Nov 30, 2025 vs ANAOdd-man rushloose117.15-on-1
Nov 30, 2025 vs ANAForecheck turnover—010.1—
Nov 26, 2025 vs MINRushcarry5*26.8one-timer
Nov 18, 2025 vs CGYCycle—021.5—
Nov 18, 2025 vs CGYOdd-man rushloose051.92-on-1
Nov 18, 2025 vs CGYPoint shot—117.9—
Nov 12, 2025 vs NJDForecheck turnover—3*67.7—
Nov 9, 2025 @ DETCycle—367.3—
Nov 7, 2025 @ CGYForecheck turnover—031.8—
Nov 5, 2025 @ VANOdd-man rushcarry023.01-on-0
Oct 28, 2025 vs OTTDeflection—166.1deflection
Oct 28, 2025 vs OTTRushcarry157.6—
Oct 28, 2025 vs OTTForecheck turnover—2*62.7—
Oct 26, 2025 vs LAKDeflectioncarry04.7—
Oct 11, 2025 vs MTLDeflection—7*19.1—
Oct 9, 2025 @ BOSForecheck turnover—1*64.3one-timer
Apr 15, 2025 @ OTTCycle—457.9—
Apr 15, 2025 @ OTTOdd-man rushcarry056.33-on-2
Apr 12, 2025 vs WPGCycle—6*58.7one-timer
Mar 23, 2025 vs PHIOff the faceoff—056.4—
Mar 20, 2025 vs LAKCyclecarry2*64.2one-timer
Mar 18, 2025 vs SEARushcarry4*40.6—
Mar 7, 2025 vs UTACyclepass250.82-on-1
Feb 7, 2025 vs NSHForecheck turnover—062.7one-timer
Jan 30, 2025 @ CAROdd-man rushcarry146.21-on-0
Jan 28, 2025 @ TBLCycle—2*69.2—

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

Linemates

2025-26 · 5v5 time together and how each pairing performs with and without Bedard

TeammatePosGPShareCF% togetherGF% togetherCF% Bedard apartCF% mate apart
Andre BurakovskyLW53577:3352%45.7%50% (28-28)41.9% 269:1044.1% 152:55
Ryan GreeneC55557:0651%44.9%50% (29-29)41.0% 324:5735.7% 197:58
Wyatt KaiserD64388:0435%43.3%42% (20-28)44.6% 642:3244.2% 708:21
Alex VlasicD68367:3433%41.6%33% (12-24)45.3% 717:3944.9% 826:33
Artyom LevshunovD56340:4431%44.8%37% (15-26)43.1% 558:0643.7% 478:37
Sam RinzelD53328:3230%44.1%51% (19-18)44.3% 534:0345.4% 498:00
Matt GrzelcykD55278:4025%45.6%62% (16-10)43.4% 602:4046.4% 543:41
Tyler BertuzziLW53260:4324%43.0%45% (14-17)42.4% 599:4448.3% 509:03
Louis CrevierD65253:5323%42.1%50% (12-12)45.2% 789:3345.4% 697:42
Connor MurphyD43133:5212%42.4%75% (6-2)44.6% 556:4346.7% 434:27
Nick LardisLW22129:0412%43.4%21% (3-11)41.5% 214:4735.2% 116:21
Teuvo TeravainenLW34109:1410%49.7%31% (5-11)45.4% 454:5343.5% 337:44
Frank NazarC1992:288%49.1%43% (6-8)41.0% 210:4641.9% 177:45
Colton DachC2475:257%42.2%40% (2-3)45.0% 323:0448.6% 187:07

Linemate and opposition quality

2025-26 · 5v5 · 1,102 min on ice · ranked against 510 forwards

44.0%

teammates' average xGF%

3rd percentile · higher = stronger linemates

29.5%

opponents' average ice-time share

92nd percentile · higher = faces more top-line minutes

Hard minutes: tough opponents with little help from linemates.

QoT averages the season xGF% of Bedard's 5v5 teammates; QoC averages how much of their team's ice time Bedard's opponents get, so a high QoC means facing top lines. Both are weighted by time shared on the ice, lean on last season for small samples, and are ranked within forwards or defence.

Game log

69 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 15vs SJSW 5-2022+1060038%17:5114:283:07—
Apr 13vs BUFL 1-5000-3001150%22:3115:356:37—
Apr 11vs STLL 3-5011-1600053%23:0118:093:03—
Apr 9vs CARL 2-7000-4300277%20:2215:224:55—
Apr 6@ SJSL 2-3011-2720140%21:1314:155:39—
Apr 4@ SEAW 4-20220200162%17:4113:363:36—
Apr 2@ EDML 1-30110300063%20:1416:151:54—
Mar 31vs WPGOTL 3-4000-2000033%19:5717:052:52—
Mar 29@ NJDL 3-5011-1601141%20:4016:133:29—
Mar 27@ NYRL 1-6000-2300050%20:3215:594:33—
Mar 26@ PHIL 1-51010400040%19:3717:012:25—
Mar 24@ NYIW 4-3000-1400044%19:5315:382:28—
Mar 22vs NSHOTL 2-3101-1321040%20:4615:504:43—
Mar 20vs COLL 1-4000+1100053%18:3815:522:46—
Mar 19@ MINW 2-1101+1601138%23:5417:494:18—
Mar 17vs MINOTL 3-4022+2401153%23:0520:003:05—
Mar 14@ VGKL 0-40000222062%19:4515:424:01—
Mar 12@ UTAW 3-21120201042%23:2822:440:44—
Mar 9vs UTAW 3-2022+1524050%21:0616:304:07—
Mar 8@ DALOTL 3-4101-1301011%19:3316:362:00—

Season splits by strength

2025-26 regular season · on-ice numbers from shift and play-by-play data

StrengthGPTOI/GPSAGFGAGF%
All situations691439:4820:521438138550.9%50.6%722719918253%93.981.674%
Even strength691150:3316:40996127443.9%43.6%502660556944%55.668.166%
5v5691102:0515:58957122843.8%43.4%479631536545%51.163.567%
Power play68240:053:323625686.6%85.5%1833927196%29.23.298%
Penalty kill120:590:0500——0000—0.00.0100%
4v42021:251:04151845.5%48.3%89020%1.31.658%
3v3 (OT)1727:031:35242846.2%46.7%15202250%3.12.9100%
5v467227:453:243305485.9%84.6%1633723196%24.33.298%
5v377:271:0420195.2%95.0%12120100%3.60.0—
6v5, own net empty3732:500:53682275.6%75.8%29101109%3.18.0100%
5v6, opponent net empty2014:120:43123227.3%32.3%898189%6.01.30%
4v364:530:4912192.3%91.7%8120100%1.20.0100%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26CHI69304575-185022613.3%312720:52
2024-25CHI82234467-367019511.8%473720:17
2023-24CHI68223961-442820610.7%542719:47

Connor Bedard 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.