Edgehalla
Kailer Yamamoto headshotUtah Mammoth logo

Utah Mammoth

Kailer Yamamoto

#56Right Wing5'9"176 lb

0.0 in 2 days
2025-26 regular season
59
GP
13
G
10
A
23
P
60
SOG
21.7% SH
11:48
TOI/GP

RW · UTA · NHL id 8479977

Kailer Yamamoto has played 59 games for the Utah Mammoth in 2025-26, scoring 13 goals and 10 assists (23 points) on 60 shots while averaging 11:48 a night (11:13 at even strength, 0:25 on the power play and 0:05 shorthanded). At 5v5 he has skated 85% of his 5v5 minutes with Logan Cooley and 75% with Dylan Guenther over the last 10 games, and the Mammoth have controlled 53% of shot attempts with Yamamoto on the ice (36-26 in goals, 51% offensive-zone starts). In the Mammoth's most recent game against VGK he was on L3 with Dylan Guenther and Logan Cooley and off the power play; dropped to L4 (from L3) in the last game. He is shooting 21.7% this season against 14.5% across the 410 games in our data.

Right now

From the May 1 game vs VGK, detected from shift data

Line
L3
Dylan GuentherLogan Cooley
Power play
No PP unit
Penalty kill
No PK unit
Dropped to L4 (from L3) in the last gameLast 5: L3 · L1 · L2 · L2 · L4

Deployment timeline

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

Usage: 19 games, 12:51 average time on ice, PP1 in 0 games, 11 line changes.

PPLine34▼43▲24▼3▲1▲2▼224▼3▲331▲2▼24▼0m3m7m10m13m17m20mMar 19Mar 22Mar 26Apr 2Apr 7Apr 11Apr 14Apr 19Apr 24Apr 29
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
19 games shown, 12:51 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 speed43rd4322.1 mph
Bursts 20+ mph54th5569
Hardest shot62nd6386.9 mph
Offensive-zone time38th3941.2%
Distance skated43rd44111.2 mi
High-danger SOG52nd5331
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 · 105 attempts, 64 on goal, 14 goals

Shot map, OPP at UTA: 105 attempts, 64 on goal, 14 goals, 8.52 expected goals; best chance Kailer Yamamoto at 0.41 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 · 59 GP · 23 points vs 16.8 expected

Luck Meter →
Hold(softened from Sell high by the sustainability check)

Last 20 games: +27. Positive means running hot (sell), negative running cold (buy).

21.7%
102.2
62.2%
G vs xG
13 / 7.4
  • • Role rose over the last 10 games (TOI up 1:14 a game, 3 promotion events): some of the heat may be real.
Goals against expected goals
0510+5.6goals above expected2.0σ10/94/16
  • Actual goals
  • Expected
  • ±1σ
  • Above expected
  • Below expected

Player analytics

Compare with another player →

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 played59
  • Goals13227th
  • Assists10464th
  • Points23369th
  • Power-play points0437th
  • Shorthanded points0227th
  • Shots on goal60503rd
  • Hits47422nd
  • Blocked shots20586th
  • Plus/minus+11113th
  • Penalty minutes14548th
  • Faceoffs won21262nd

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 · 54 of 59 games through the sequence engine (more fill in as games are reprocessed)

MethodLeaders
−0.002
Season net
−0.02xG

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

MethodLeaders
Per 100 draws
−0.123
Season
−0.06G
41.2%51 draws

Wins by zone: OZ 11-15 · NZ 7-7 · DZ 3-8

MethodLeaders
Per 60
0.64
Attempts
7
0.064

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

MethodLeaders
Season
+0.81G
Per 60
+0.070
Drawn / taken
11 / 7minors

MethodLeaders
56.3%
57.5%
56.2%
Transition CF/60
3.9
Turnovers won/60
21.8
Turnovers lost/60
23.8

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

MethodLeaders
  • More of his shots than the league
  • Fewer
60 shots on goal, 13 goals, all situations
AreaHis shareLeagueG
Low Slot40%23%5
R Circle20%12%2
L Point0%5%0
Crease8%3%2
Center Point3%9%1
R Point2%6%0
L Circle10%13%1

Role changes

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

All alerts →

How his goals happened

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

Method
Goal anatomy
GamePlayEntryPassesShot mphNotesReplay
May 1, 2026 vs VGKRushpass2*34.4—
Apr 16, 2026 vs STLForecheck turnoverpass161.04-on-3
Apr 9, 2026 vs NSHReboundcarry27.42-on-1, rebound
Apr 4, 2026 @ VANDeflectioncarry019.5—
Mar 16, 2026 @ DALOdd-man rushpass025.82-on-1
Jan 31, 2026 vs DALForecheck turnovercarry027.2one-timer
Jan 31, 2026 vs DALOdd-man rushcarry4*68.13-on-2
Jan 29, 2026 @ CARReboundcarry017.73-on-1, rebound
Jan 29, 2026 @ CARRushcarry165.6—
Jan 24, 2026 @ NSHDeflection—2*16.9—
Dec 12, 2025 vs SEARebounddump056.23-on-2, rebound
Nov 26, 2025 vs MTLRebound—021.2rebound
Nov 8, 2025 @ MTLReboundcarry027.0rebound
Nov 2, 2025 vs TBLForecheck turnover—1*66.2—
Apr 8, 2025 vs SEAForecheck turnover—4*56.3one-timer
Mar 30, 2025 @ CHIRebound—070.8rebound
Apr 13, 2024 @ DALDeflectionloose120.4—
Dec 27, 2023 @ CGYOdd-man rushcarry153.31-on-0
Dec 14, 2023 vs CHICycle—317.3—
Dec 14, 2023 vs CHIOdd-man rushcarry047.44-on-3
Dec 12, 2023 vs FLAOdd-man rushpass237.62-on-1
Nov 16, 2023 vs NYIForecheck turnover—123.8—
Oct 30, 2023 @ TBLRebound—048.5rebound
Oct 17, 2023 vs COLCycle—252.9—

* 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 Yamamoto

TeammatePosGPShareCF% togetherGF% togetherCF% Yamamoto apartCF% mate apart
John MarinoD61260:4635%55.8%74% (14-5)53.2% 443:1752.2% 828:22
Nate SchmidtD64252:2934%55.7%55% (11-9)52.4% 480:5853.4% 815:24
Ian ColeD65250:2934%50.3%54% (13-11)55.2% 495:1947.5% 712:21
Kevin StenlundC35238:1232%53.0%53% (9-8)51.8% 131:0140.6% 149:41
Logan CooleyC27229:3131%53.8%61% (17-11)58.9% 107:3242.6% 149:11
Dylan GuentherRW22217:2229%55.6%59% (16-11)57.0% 58:4645.1% 80:02
Mikhail SergachevD58216:1729%51.7%67% (16-8)54.7% 445:0152.1% 784:25
Sean DurziD49192:1626%58.9%58% (11-8)51.2% 379:2652.3% 623:28
Barrett HaytonC19136:0718%50.4%44% (4-5)62.3% 85:1056.6% 99:29
Brandon TanevLW22127:3817%45.5%22% (2-7)57.1% 114:2749.0% 81:20
JJ PeterkaRW23102:1614%51.1%43% (3-4)55.2% 162:4249.4% 229:05
Nick DeSimoneD25100:3713%50.0%50% (6-6)54.3% 187:4350.4% 262:52
MacKenzie WeegarD2498:4813%48.1%62% (8-5)54.3% 199:1452.1% 330:47
Alexander KerfootC1170:459%49.6%60% (3-2)53.9% 55:2847.1% 57:12

Game log

65 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
May 1POvs VGKL 1-5101+12010—9:429:42——
Apr 29PO@ VGKOTL 4-501101030—17:0617:06——
Apr 27POvs VGKOTL 4-5000-100900%18:4418:44——
Apr 24POvs VGKW 4-2011000300%16:1915:30——
Apr 21PO@ VGKW 3-2022+20030100%10:1510:15——
Apr 19PO@ VGKL 2-4000012300%13:3413:34——
Apr 16vs STLL 3-5101-12000—14:1113:27—0:44
Apr 14vs WPGW 5-3000+13020—10:1410:14——
Apr 12@ CGYL 1-4000-21031—11:2111:21——
Apr 11vs CARL 1-4000-1400150%11:2111:32——
Apr 9vs NSHW 4-1101+120000%14:0214:02——
Apr 7vs EDMW 6-500002041—17:1017:10——
Apr 4@ VANW 7-4101020200%11:1311:13——
Apr 2@ SEAW 6-2022+202010%11:2311:18——
Mar 28@ LAKW 6-2000+10010100%13:2913:29——
Mar 24vs EDML 2-500000000100%13:3812:510:18—
Mar 22vs LAKW 4-300002011—12:1212:12——
Mar 20vs ANAL 1-400000001—7:177:17——
Mar 19@ VGKW 4-000000000—12:2312:09——
Mar 16@ DALW 6-3101+120000%10:009:590:01—

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations59696:1011:4865357253.3%53.9%296252372659%32.124.154%
Even strength59662:0911:1361655052.8%53.5%278242362658%29.022.651%
5v559660:5711:1261655052.8%53.5%278242362658%29.022.651%
Power play1824:241:2131879.5%80.0%15400—2.20.3100%
Penalty kill114:310:252433.3%33.3%1300—0.30.40%
5v41824:241:2131879.5%80.0%15400—2.20.3100%
4v5114:310:252433.3%33.3%1300—0.30.40%
6v5, own net empty102:150:143350.0%33.3%1000—0.10.6100%
5v6, opponent net empty112:510:161712.5%16.7%1310100%0.40.2—

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26PlayoffsUTA6145+22425.0%22014:17
2025-26UTA59131023+11146021.7%472011:48
2024-25UTA12213-121315.4%9412:07
2023-24SEA598816-9186113.1%311811:59
2022-23PlayoffsEDM12134-718128.3%25914:42
2022-23EDM58101525+12249710.3%772416:35
2021-22PlayoffsEDM14257-6101612.5%361116:16
2021-22EDM81202141-14011417.5%1143616:52
2020-21PlayoffsEDM4011-2260.0%8219:30
2020-21EDM5281321+9266911.6%524016:22
2019-20EDM27111526+17124425.0%451317:23
2018-19EDM17112-62137.7%181113:04
2017-18EDM9033-22230.0%6315:10

Kailer Yamamoto 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.