Locomotive engineer

Locomotive engineer — CS2 Stats

PN76561198038164906[U:1:77899178]Steam profile ↗✓ No bans

946Tracked matches47%Win rate2020Tracked since
CSDB Rating4.0 DevelopingSupport
Premier CS Rating8,110Light Blue band · top ~63.9% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 946 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 24 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 8,110 +1,567 24 Mar – 24 Sept · 36 days played
4,9999,922peak 9,92224 Mar24 Sept
9,999Peak Premier in tracked matches
47Days played since 2026-03-24

Premier CS Rating

  • 1,812 below peak (9,922)
  • -657 over 30 days · declining
  • +2,590 over 90 days
  • Next: Blue band at 10,000 — 1,890 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-16

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGLocomotive engineerFACEITLevel 1STANDINGTop 100.0% of rankedPREMIER8,110 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim52
Positioning39
Utility48

0–100 skill scores via Leetify.

Recent form

COLD42–56–2Last 10042%Win rateLLLWLWLLLL

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · +5.8pp headshot accuracy · +35ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.07
  • Avg headshot accuracy 12%
  • Avg reaction 656ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 624ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 606ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim5.2
Utility4.8
Positioning3.9
Opening Duels1.2

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 84% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 48% on CT to 22% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 623ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.2
Positioning3.9
Utility4.8
Mechanics4.8
Opening Duels2.3
Win Impact3.9

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time625ms−104ms
first ⅓ avg 729ms → last ⅓ avg 625ms
Headshot accuracy13.4%+1.8%
first ⅓ avg 11.6% → last ⅓ avg 13.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.24Best match rating · 3–0 · poseidon, 15 Sept →
50%Best headshot accuracy · 3–0 · poseidon, 15 Sept →
445msFastest reaction time · 15–15 · inferno, 14 Aug →
13–2Biggest win · dust2, 9 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
6–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 56% over 9ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC2610–1638%-0.02
infernoB2210–1245%-0.04
mirageC177–1041%-0.04
ancientD93–633%-0.05
cacheC94–544%-0.01
dust2A95–456%-0.01
anubis—20–20%-0.05
overpass—22–0100%-0.02
poseidon—11–0100%0.24
eldorado—10–10%-0.14
sanctum—10–10%-0.11
vertigo—10–10%-0.09

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

54Matches
43%Win rate
0.78Avg K/D
—ADR
36%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsWLLWL

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.4%Headshot accuracy
34.9%Accuracy (enemy spotted)
39.1%Spray accuracy
71.5%Counter-strafing
10.6°Preaim
623msReaction time
21.6%T opening success
48.2%CT opening success
0.60Enemies flashed / flash
1.7%Flash assists
7.18HE damage / grenade
5.51Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.3757% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 21.6173% — below the 40% mark we flag

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.055%22 Sept →
ancient6–13-0.087%22 Sept →
mirage11–13-0.0312%15 Sept →
mirage13–3-0.0720%15 Sept →
nuke5–9-0.0914%15 Sept →
poseidon3–00.2450%15 Sept →
eldorado4–9-0.1417%15 Sept →
mirage2–13-0.089%2 Sept →
nuke13–160.0115%2 Sept →
nuke11–130.0119%31 Aug →
nuke16–140.038%31 Aug →
cache13–5-0.0112%31 Aug →
nuke11–13-0.039%31 Aug →
dust28–13-0.0712%30 Aug →
inferno13–9-0.0025%30 Aug →
inferno13–8-0.027%30 Aug →
ancient13–110.016%30 Aug →
nuke8–80.053%30 Aug →
inferno4–13-0.099%30 Aug →
inferno16–13-0.0619%29 Aug →
ancient2–13-0.115%29 Aug →
mirage13–8-0.032%28 Aug →
ancient8–13-0.0217%26 Aug →
nuke13–100.018%24 Aug →
nuke13–70.1011%24 Aug →
cache14–16-0.0110%22 Aug →
nuke3–13-0.0413%22 Aug →
cache13–30.036%22 Aug →
inferno8–13-0.0620%22 Aug →
mirage13–16-0.0321%22 Aug →
cache9–130.0514%22 Aug →
inferno13–9-0.0315%21 Aug →
dust213–40.0422%21 Aug →
mirage13–5-0.078%21 Aug →
dust24–13-0.0115%18 Aug →
ancient6–13-0.0420%18 Aug →
dust210–13-0.0710%15 Aug →
dust216–120.0215%15 Aug →
inferno15–15-0.0810%14 Aug →
mirage8–13-0.038%14 Aug →
nuke13–6-0.0125%14 Aug →
nuke13–7-0.0614%14 Aug →
dust213–40.0524%12 Aug →
inferno13–50.0318%12 Aug →
mirage13–10-0.085%11 Aug →
nuke10–130.005%11 Aug →
dust213–20.0611%9 Aug →
cache12–160.0013%8 Aug →
nuke11–13-0.0910%8 Aug →
inferno13–9-0.0312%7 Aug →
dust213–11-0.0127%5 Aug →
anubis7–13-0.046%4 Aug →
cache13–8-0.0020%3 Aug →
anubis8–13-0.0611%30 Jul →
mirage13–80.0410%30 Jul →
nuke4–13-0.059%25 Jul →
inferno9–13-0.0212%25 Jul →
inferno13–30.037%25 Jul →
ancient13–6-0.0217%5 Jul →
nuke6–13-0.0523%2 Jul →
inferno13–6-0.0519%2 Jul →
nuke6–13-0.068%27 Jun →
inferno7–13-0.0317%21 Jun →
mirage13–8-0.0015%21 Jun →
ancient16–14-0.056%21 Jun →
mirage8–13-0.0419%14 Jun →
nuke9–50.0311%13 Jun →
sanctum6–9-0.1113%13 Jun →
nuke2–9-0.168%13 Jun →
nuke6–90.0517%12 Jun →
inferno2–13-0.110%10 Jun →
cache4–13-0.0533%7 Jun →
nuke9–5-0.029%7 Jun →
inferno11–13-0.053%6 Jun →
inferno2–13-0.0718%5 Jun →
mirage13–110.0212%5 Jun →
overpass13–50.0423%3 Jun →
nuke16–130.0115%3 Jun →
cache13–8-0.0713%1 Jun →
nuke13–6-0.0320%31 May →
inferno4–13-0.098%31 May →
nuke4–13-0.0512%31 May →
mirage13–16-0.0512%30 May →
cache9–13-0.018%30 May →
nuke10–13-0.058%15 May →
ancient10–13-0.0210%15 May →
inferno11–13-0.0217%10 May →
inferno7–13-0.0814%7 May →
inferno3–13-0.0615%22 Apr →
inferno13–10-0.0412%22 Apr →
vertigo7–13-0.098%22 Apr →
nuke13–16-0.032%17 Apr →
overpass13–11-0.086%17 Apr →
dust24–13-0.0618%17 Apr →
mirage7–13-0.074%17 Apr →
ancient3–13-0.073%13 Apr →
mirage2–13-0.0612%13 Apr →
nuke13–9-0.0812%12 Apr →
inferno13–7-0.046%12 Apr →
mirage7–13-0.0511%24 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →