Edgehalla
Robert Thomas headshotSt. Louis Blues logo

St. Louis Blues

Robert Thomas

23.3

#18Center6'0"212 lb

0.0 in 2 days
2025-26 regular season
64
GP
25
G
39
A
64
P
102
SOG
24.5% SH
19:01
TOI/GP

C · STL · NHL id 8480023

Robert Thomas has played 64 games for the St. Louis Blues in 2025-26, scoring 25 goals and 39 assists (64 points) on 102 shots while averaging 19:01 a night (14:29 at even strength, 2:31 on the power play and 1:17 shorthanded). At 5v5 he has skated 89% of his 5v5 minutes with Dylan Holloway and 84% with Jimmy Snuggerud over the last 10 games, and the Blues have controlled 52% of shot attempts with Thomas on the ice (54-35 in goals, 54% offensive-zone starts). In the Blues' most recent game against UTA he was on L2 with Dylan Holloway and Jimmy Snuggerud and on PP1; dropped to L2 (from L1) in the last game. He is shooting 24.5% this season against 15.4% across the 574 games in our data.

Right now

From the Apr 16 game vs UTA, detected from shift data

Dropped to L2 (from L1) in the last gameLast 5: L3/PP1 · L1/PP1 · L1/PP2 · L1/PP1 · L2/PP1

Deployment timeline

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

Usage: 19 games, 18:34 average time on ice, PP1 in 16 games, 8 line changes.

PPLine13▼1▲11▼1▲12▼1113▼1▲13▼1▲1▼1▲2▼0m8m17m25mMar 8Mar 12Mar 15Mar 21Mar 26Mar 30Apr 3Apr 7Apr 11Apr 14
  • Even strength
  • Power play
  • Penalty kill
  • 5-game average
  • Did not play
  • ▲ promoted · ▼ demoted
19 games shown, 18:34 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 speed92nd9223.3 mph
Bursts 20+ mph65th6689
Hardest shot29th3081.8 mph
Offensive-zone time85th8645.0%
Distance skated76th76197.3 mi
High-danger SOG67th6743
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 · 195 attempts, 102 on goal, 25 goals

Shot map, OPP at STL: 195 attempts, 102 on goal, 25 goals, 17.14 expected goals; best chance Robert Thomas at 0.91 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 · 64 GP · 64 points vs 64.2 expected

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

Last 20 games: +68. Positive means running hot (sell), negative running cold (buy).

24.5%
104.5
72.7%
G vs xG
25 / 18.7
  • • Role shrank over the last 10 games (3 demotion events): the cold spell may not be all luck.
  • • Shot diet improved: 0.146 xG per attempt lately vs 0.116 before (more from the slot).
Goals against expected goals
0510152025+6.3goals above expected1.5σ10/94/16
  • 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 played64
  • Goals2571st
  • Assists3967th
  • Points6470th
  • Power-play points14125th
  • Shorthanded points319th
  • Shots on goal102295th
  • Hits10690th
  • Blocked shots40335th
  • Plus/minus+2232nd
  • Penalty minutes24377th
  • Faceoffs won54740th

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 · 64 of 64 games through the sequence engine

MethodLeaders
−0.053
Season net
−0.79xG

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
+0.25G
52.5%1042 draws

Wins by zone: OZ 217-197 · NZ 141-117 · DZ 189-181

MethodLeaders
Per 60
0.87
Attempts
13
0.056

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

MethodLeaders
Season
−0.31G
Per 60
−0.015
Drawn / taken
10.5 / 12minors

MethodLeaders
56.9%
54.0%
57.2%
Transition CF/60
4.3
Turnovers won/60
22.6
Turnovers lost/60
22.6

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

MethodLeaders
  • More of his shots than the league
  • Fewer
102 shots on goal, 25 goals, all situations
AreaHis shareLeagueG
Low Slot35%23%10
Center Point3%9%0
L Net Side8%3%3
L Point1%5%0
Outside L0%4%0
Outside R1%4%1
R Circle16%12%3

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 16, 2026 @ UTAOdd-man rushcarry2*35.53-on-1
Apr 16, 2026 @ UTADeflection—1*24.2—
Apr 16, 2026 @ UTAOdd-man rushcarry045.73-on-1
Apr 7, 2026 vs COLRushcarry2*36.1—
Apr 5, 2026 @ COLOdd-man rushcarry150.13-on-2, one-timer
Apr 5, 2026 @ COLOdd-man rushcarry349.13-on-2
Apr 5, 2026 @ COLReboundcarry071.03-on-1, one-timer, rebound
Apr 3, 2026 @ ANAOdd-man rushcarry033.64-on-3
Apr 1, 2026 @ LAKDeflection—013.0—
Mar 13, 2026 vs EDMForecheck turnover—240.6—
Mar 6, 2026 @ SJSRebound—017.9rebound
Mar 6, 2026 @ SJSCycle—1*8.0—
Mar 4, 2026 @ SEAForecheck turnover—046.8—
Mar 1, 2026 @ MINPoint shot—045.6—
Jan 10, 2026 @ VGKOdd-man rushcarry426.65-on-3
Jan 3, 2026 vs MTLReboundcarry026.2rebound
Dec 20, 2025 @ FLAPoint shot—053.9—
Dec 20, 2025 @ FLACycle—037.5—
Dec 11, 2025 @ NSHCycle—3*58.8—
Dec 9, 2025 vs BOSRebounddump037.1rebound
Dec 9, 2025 vs BOSForecheck turnover—3*72.5one-timer
Nov 26, 2025 @ NJDForecheck turnover—359.9—
Nov 14, 2025 vs PHIForecheck turnover—152.0one-timer
Nov 3, 2025 vs EDMReboundcarry024.84-on-3, rebound
Oct 11, 2025 @ CGYCycle—549.0—
Apr 27, 2025 vs WPGRushcarry013.6—
Apr 19, 2025 @ WPGForecheck turnover—056.2—
Apr 5, 2025 vs COLOdd-man rushloose17.86-on-1
Apr 3, 2025 vs PITForecheck turnover—252.2—
Mar 25, 2025 vs MTLRushcarry168.6—
Mar 22, 2025 vs CHIRebound—05.5rebound
Mar 5, 2025 @ LAKForecheck turnover—052.2one-timer
Feb 25, 2025 vs SEAOdd-man rushcarry27.23-on-2
Feb 22, 2025 vs WPGRushcarry08.1—
Feb 22, 2025 vs WPGRushcarry058.2—
Feb 8, 2025 vs CHIRebound—226.4rebound
Jan 23, 2025 vs VGKRebound—08.4rebound
Jan 9, 2025 vs ANARushcarry17.8—
Jan 9, 2025 vs ANAOdd-man rushcarry048.22-on-1
Jan 7, 2025 @ MINForecheck turnover—229.4—

* 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 Thomas

TeammatePosGPShareCF% togetherGF% togetherCF% Thomas apartCF% mate apart
Jimmy SnuggerudRW46423:2147%50.7%69% (33-15)52.8% 234:3341.5% 212:14
Philip BrobergD63407:4145%48.2%63% (26-15)54.4% 477:2345.5% 773:11
Colton ParaykoD59393:5144%51.2%59% (19-13)51.8% 442:0145.8% 709:53
Pavel BuchnevichLW35329:3837%48.7%52% (17-16)52.7% 163:5446.3% 132:48
Cam FowlerD64314:3835%54.5%60% (18-12)50.0% 584:4846.4% 810:17
Dylan HollowayLW30304:2834%53.5%71% (24-10)52.6% 132:2641.2% 147:05
Jake NeighboursLW35292:3933%52.3%50% (15-15)47.0% 186:3546.9% 158:36
Justin FaulkD44205:3223%48.5%58% (11-8)51.6% 398:2043.9% 603:07
Logan MaillouxD45176:1920%50.9%50% (11-11)53.7% 463:2247.1% 514:10
Tyler TuckerD45138:2415%53.1%55% (11-9)51.5% 484:3646.6% 475:55
Jordan KyrouC22132:4115%62.7%63% (5-3)46.3% 171:1752.0% 146:01
Theo LindsteinD1668:078%61.2%86% (6-1)51.8% 170:4748.3% 171:17
Matthew KesselD2048:115%48.1%100% (3-0)51.4% 224:4545.3% 197:59
Brayden SchennC747:255%58.8%80% (4-1)50.5% 51:4649.6% 52:44

Game log

64 games in 2025-26, newest first

DateOppResultGAP+/-PIMHITBLKEVPPPK
Apr 16@ UTAW 5-3303+2300247%16:5414:201:05—
Apr 14vs PITW 7-5022+2100144%18:5416:011:340:45
Apr 13vs MINW 6-30110100060%18:0113:413:170:52
Apr 11@ CHIW 5-3000-1220053%18:2915:321:180:23
Apr 9vs WPGL 2-3011-1100078%17:4111:504:450:15
Apr 7vs COLL 1-31010100052%24:0417:323:20—
Apr 5@ COLW 3-2303+3500050%20:1313:434:091:02
Apr 3@ ANAW 6-2123+1100054%18:2012:144:131:16
Apr 1@ LAKOTL 1-2101+1400059%20:2117:262:230:32
Mar 30@ SJSL 4-50110122261%20:5218:031:390:37
Mar 28vs TORW 5-1022+1100056%19:5716:071:561:54
Mar 24vs WSHW 3-0000+1140050%14:0811:512:17—
Mar 21@ VANW 3-1011+1300218%20:0115:333:250:41
Mar 18@ CGYOTL 1-2011+1120062%19:4917:271:520:30
Mar 15@ WPGL 2-3000+10011—22:1817:530:550:33
Mar 13vs EDMW 3-2101+12000—22:4120:331:180:50
Mar 12@ CARW 3-1011+20001—18:4116:181:350:28
Mar 10vs NYIOTL 3-4022+310010%16:2112:232:111:31
Mar 8@ ANAW 4-0011+1300440%19:4612:403:282:50
Mar 6@ SJSW 3-2202+3500147%19:0615:502:260:50

Season splits by strength

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

StrengthGPTOI/GPSAGFGAGF%
All situations641216:5819:011182108452.2%51.3%577555885860%82.660.752%
Even strength64927:1614:2988082051.8%50.6%422419563661%49.637.453%
5v564899:2614:0385680051.7%50.6%413406543561%47.435.454%
Power play64160:542:312263586.6%85.6%1192320291%20.82.1100%
Penalty kill5682:121:28141498.6%9.1%87521214%1.411.20%
4v42011:530:369950.0%50.0%3400—0.50.427%
3v3 (OT)1215:571:20151157.7%50.0%692167%1.71.650%
5v464160:082:302233586.4%85.4%1172320291%20.52.1100%
4v55680:421:26141438.9%9.4%87221115%1.410.50%
6v5, own net empty2419:460:49391967.2%65.9%2164640%3.27.0100%
5v6, opponent net empty2721:490:48185524.7%29.4%5285271%6.72.70%

Career by season

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

SeasonTeamGPGAP+/-PIMHITBLKTOI/GP
2025-26STL64253964+222410224.5%104019:01
2024-25PlayoffsSTL726804825.0%11221:00
2024-25STL70216081+202014514.5%134819:57
2023-24STL82266086+94817015.3%164720:58
2022-23STL73184765-82210617.0%152919:21
2021-22PlayoffsSTL12246-6102010.0%14918:45
2021-22STL72205777+171611517.4%132518:46
2020-21PlayoffsSTL4033-1220.0%1315:09
2020-21STL333912+1102213.6%51113:36
2019-20STL66103242+9188711.5%131314:34
2018-19PlayoffsSTL21156-210303.3%6313:07
2018-19STL7092433-2148011.3%132213:04

Robert Thomas 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.