Edgehalla
Boone Jenner headshotColumbus Blue Jackets logo

Columbus Blue Jackets

Boone Jenner

#38Center6'2"209 lb

0.0 in 2 days
2025-26 regular season
67
GP
13
G
25
A
38
P
132
SOG
9.8% SH
16:05
TOI/GP

C · CBJ · NHL id 8476432

Boone Jenner has played 67 games for the Columbus Blue Jackets in 2025-26, scoring 13 goals and 25 assists (38 points) on 132 shots while averaging 16:05 a night (13:26 at even strength, 0:47 on the power play and 1:26 shorthanded). At 5v5 he has skated 44% of his 5v5 minutes with Ivan Provorov and 37% with Zach Werenski over the last 10 games, and the Blue Jackets have controlled 51% of shot attempts with Jenner on the ice (41-38 in goals, 48% offensive-zone starts). In the Blue Jackets' most recent game against WSH he was on L3 with Danton Heinen and Mason Marchment and off the power play; dropped to L3 (from L1) in the last game. He is shooting 9.8% this season against 10.1% across the 557 games in our data.

Right now

From the Apr 14 game vs WSH, detected from shift data

Power play
No PP unit
Penalty kill
PK1F
Charlie Coyle
Dropped to L3 (from L1) in the last gameLast 5: L2 · L4 · L1 · L2 · L3

Deployment timeline

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

Usage: 20 games, 15:10 average time on ice, PP1 in 0 games, 17 line changes.

PPLine21▲3▼4▼1▲2▼4▼3▲1▲3▲1▲1▲1▼2▼1▲2▼4▼1▲2▼3▼0m3m7m10m13m17m20mMar 9Mar 12Mar 17Mar 21Mar 24Mar 28Mar 31Apr 4Apr 9Apr 12
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
20 games shown, 15:10 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 speed51st5222.3 mph
Bursts 20+ mph56th5771
Hardest shot84th8590.3 mph
Offensive-zone time24th2440.2%
Distance skated63rd64167.5 mi
High-danger SOG64th6541
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

2025-26 · 269 attempts, 132 on goal, 13 goals

Shot map, OPP at CBJ: 269 attempts, 132 on goal, 13 goals, 16.23 expected goals; best chance Boone Jenner at 0.45 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 · 67 GP · 38 points vs 28.5 expected

Luck Meter →
Hold

Last 20 games: +38. Positive means running hot (sell), negative running cold (buy).

9.8%
100.4
76.0%
G vs xG
13 / 14.6
  • • Role shrank over the last 10 games (PP share 18% → 4%, 3 demotion events): the cold spell may not be all luck.
  • • Shot diet improved: 0.091 xG per attempt lately vs 0.072 before (more from the slot).
Goals against expected goals
051015-1.6goals below expected-0.4σ10/94/14
  • 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 played67
  • Goals13227th
  • Assists25189th
  • Points38205th
  • Power-play points3311th
  • Shorthanded points1111th
  • Shots on goal132199th
  • Hits14774th
  • Blocked shots66176th
  • Plus/minus+3233rd
  • Penalty minutes44144th
  • Faceoffs won200134th

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 · 67 of 67 games through the sequence engine

MethodLeaders
−0.043
Season net
−0.64xG

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

MethodLeaders
Per 100 draws
+0.033
Season
+0.13G
52.6%380 draws

Wins by zone: OZ 72-68 · NZ 55-52 · DZ 73-60

MethodLeaders
Per 60
1.75
Attempts
26
0.099

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

MethodLeaders
Season
−1.02G
Per 60
−0.057
Drawn / taken
17 / 22minors

MethodLeaders
51.4%
52.6%
51.6%
Transition CF/60
5.6
Turnovers won/60
22.3
Turnovers lost/60
23.0

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

MethodLeaders
  • More of his shots than the league
  • Fewer
132 shots on goal, 13 goals, all situations
AreaHis shareLeagueG
Center Point2%9%0
Crease9%3%3
Outside L9%4%1
R Point2%6%0
Outside R7%4%0
L Circle11%13%2
R Circle11%12%0

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
Apr 14, 2026 vs WSHOdd-man rushcarry059.74-on-3
Apr 11, 2026 @ MTLReboundcarry013.83-on-2, rebound
Mar 29, 2026 vs BOSOdd-man rushcarry1*70.62-on-1
Mar 19, 2026 vs NYRRushloose3*18.2—
Mar 5, 2026 vs FLAForecheck turnover—046.9—
Jan 13, 2026 vs CGYRushloose069.8—
Jan 8, 2026 @ VGKDeflection—446.5one-timer
Dec 29, 2025 @ OTTDeflection—030.5—
Dec 16, 2025 vs ANAForecheck turnover—04.9—
Dec 11, 2025 vs OTTDeflectioncarry08.23-on-2
Nov 10, 2025 @ EDMDeflection—49.6rebound
Oct 21, 2025 @ DALDeflection—014.1rebound
Oct 11, 2025 @ MINOdd-man rushcarry166.72-on-1
Apr 10, 2025 vs BUFForecheck turnover—16.3—
Apr 3, 2025 vs COLReboundcarry028.03-on-2, rebound
Mar 29, 2025 @ OTTRebound—047.7rebound
Mar 28, 2025 vs VANDeflection—328.4deflection
Mar 28, 2025 vs VANDeflectioncarry3*34.93-on-2, deflection
Mar 24, 2025 @ NYIRushcarry054.6—
Mar 21, 2025 @ PITDeflectioncarry333.84-on-2, deflection
Mar 26, 2024 @ ARICycle—348.8one-timer
Mar 16, 2024 vs SJSRushcarry06.1—
Mar 14, 2024 vs OTTForecheck turnover—2*57.9—
Mar 2, 2024 @ CHIDeflectioncarry260.14-on-3, deflection
Feb 21, 2024 @ ANARushloose119.8—
Feb 17, 2024 @ SJSOdd-man rushcarry013.72-on-1
Feb 13, 2024 @ OTTOdd-man rushcarry355.03-on-2
Feb 10, 2024 vs TBLDeflection—144.2deflection, rebound
Feb 10, 2024 vs TBLForecheck turnover—3*28.8one-timer
Dec 3, 2023 @ BOSForecheck turnover—034.2—
Dec 1, 2023 vs OTTDeflection—225.4deflection
Nov 24, 2023 @ NJDReboundcarry131.1one-timer, rebound
Nov 22, 2023 vs CHIForecheck turnover—212.0—
Nov 22, 2023 vs CHICycle—3*3.6—
Nov 19, 2023 @ PHIDeflection—19.7rebound
Nov 9, 2023 vs DALRushcarry3*14.4—
Nov 6, 2023 @ FLAOdd-man rushpass166.73-on-1
Nov 2, 2023 vs TBLDeflection—261.6—
Oct 21, 2023 @ MINRebound—03.1rebound
Oct 14, 2023 vs NYRDeflection—143.7deflection

* 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 Jenner

TeammatePosGPShareCF% togetherGF% togetherCF% Jenner apartCF% mate apart
Ivan ProvorovD66356:0240%50.7%61% (14-9)52.8% 520:5151.8% 909:12
Zach WerenskiD61329:5637%56.1%54% (21-18)47.7% 480:4854.5% 940:23
Damon SeversonD56280:2731%53.0%59% (13-9)49.9% 450:3854.7% 778:17
Kent JohnsonC29261:2529%54.6%50% (13-13)44.7% 139:3950.7% 89:00
Sean MonahanC27253:1228%54.7%54% (13-11)47.3% 128:5153.3% 99:46
Dante FabbroD57252:2828%49.3%50% (10-10)53.1% 518:1746.8% 614:15
Denton MateychukD59244:1927%54.5%48% (14-15)50.1% 536:1550.5% 729:25
Adam FantilliC28192:5922%50.0%30% (7-16)51.0% 186:3250.0% 216:30
Isac LundeströmC28164:3218%47.7%70% (7-3)51.0% 197:5443.1% 137:09
Danton HeinenLW19149:4617%48.7%75% (6-2)49.6% 109:0848.4% 71:31
Erik GudbransonD35145:3716%40.9%40% (6-9)56.7% 315:2241.4% 364:29
Charlie CoyleC23123:3214%52.6%67% (6-3)48.8% 193:0246.1% 186:36
Mathieu OlivierRW25103:2812%46.2%63% (5-3)49.2% 236:2554.8% 237:02
Miles WoodLW18102:1511%49.1%45% (5-6)52.0% 124:4840.8% 76:31

Game log

67 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 14vs WSHL 1-2101+1400336%14:1211:21—2:51
Apr 12vs BOSL 2-3011+1102050%15:0015:00——
Apr 11@ MTLW 5-2101+1322173%18:2415:040:312:49
Apr 9@ BUFL 0-5000-1305082%12:5010:30—2:20
Apr 7@ DETW 4-3000+1302240%15:5814:340:330:51
Apr 4vs WPGL 1-2000-13012100%18:1917:07—1:03
Apr 2@ CARL 1-5011-1102050%15:0414:300:040:30
Mar 31vs CARL 2-5000-2005533%18:5815:25—3:03
Mar 29vs BOSOTL 3-4101+1544050%18:4315:580:531:09
Mar 28vs SJSL 2-3000-1022169%17:1716:15——
Mar 26@ MTLL 1-2011+1123067%13:5311:570:331:23
Mar 24@ PHIW 3-2000+1103045%16:3114:25—0:49
Mar 22@ NYIL 0-10000002111%13:3411:06—2:28
Mar 21vs SEAW 5-2011+1000029%12:2011:42—0:28
Mar 19vs NYRW 6-3112+2420046%15:5412:20—2:35
Mar 17vs CARW 5-10000304092%16:2515:030:021:20
Mar 14@ PHIW 2-10000102133%11:569:44—2:12
Mar 12@ FLAOTL 1-20000001088%14:0713:21—0:46
Mar 10@ TBLW 5-20000221433%14:3913:130:031:14
Mar 9vs LAKOTL 4-5011+1201045%14:1512:060:042:05

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations671077:1916:051136114749.8%48.1%512529505647%51.257.545%
Even strength67899:5513:2698692551.6%50.1%431412413852%40.437.649%
5v567890:5613:1897792251.4%50.0%426411413852%39.837.448%
Power play4252:321:1588792.6%90.4%4863175%5.40.995%
Penalty kill5795:491:412017010.5%12.3%16911128%1.012.90%
4v4136:530:328188.9%85.7%5000—0.30.075%
3v3 (OT)22:061:031233.3%33.3%0100—0.20.2—
5v44251:441:1482792.1%89.6%4362167%4.50.995%
4v55795:491:412017010.5%12.3%16911128%1.012.90%
6v5, own net empty1211:030:55281073.7%71.4%113030%1.03.6100%
5v6, opponent net empty2314:570:3993420.9%22.9%5165183%3.12.10%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26CBJ67132538+3441329.8%1476616:05
2024-25CBJ2671219+347010.0%431817:59
2023-24CBJ58221335-82815514.2%1197420:06
2022-23CBJ68261945-325121412.1%1297020:12
2021-22CBJ59232144-112216014.4%805620:28
2020-21CBJ418917-967910.1%765318:00
2019-20CBJ70111324-14361796.1%1098018:07
2018-19PlayoffsCBJ10123+12323.1%321017:14
2018-19CBJ77162238+6421709.4%1587017:04
2017-18PlayoffsCBJ6123-34244.2%18819:45
2017-18CBJ75131932+1391877.0%2058316:28

Boone Jenner 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.