JTrain

JTrain — CS2 Stats

76561198004413045[U:1:44147317]Steam profile ↗✓ No bans

453Tracked matches63%Win rate2020Tracked since
CSDB Rating6.9 SolidAll-Rounder
Premier CS Rating20,118Top 50% of 212,910 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#81060 of 259685 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Apr 2026 (205 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,118 -387 2 Nov – 12 Apr · 12 days played
19,25423,111peak 23,1112 Nov12 Apr
23,111Peak Premier in tracked matches
66Days played since 2024-05-19

Premier CS Rating

  • 2,993 below peak (23,111)
  • -222 over 30 days · steady
  • Next: Red band at 25,000 — 4,882 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGJTrainFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER20,118 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning64
Utility74

0–100 skill scores via Leetify.

Recent form

STEADY62–34–4Last 10062%Win rateWLWWWLLLLW

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · +0.6pp headshot accuracy · +64ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 15%
  • Avg reaction 516ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 579ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 547ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.4
Utility7.4
Positioning6.4
Opening Duels7.2
Clutch7.4

Effective flashesReliable in 1v1s

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 78% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim6.4
Positioning6.4
Utility7.4
Mechanics6.0
Opening Duels5.8
Win Impact9.3

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time539ms−2ms
first ⅓ avg 541ms → last ⅓ avg 539ms
Headshot accuracy15.0%−2.3%
first ⅓ avg 17.3% → last ⅓ avg 15.0%

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

0.14Best match rating · 5–0 · dust2, 13 Apr →
36%Best headshot accuracy · 13–1 · ancient, 29 Mar →
367msFastest reaction time · 13–6 · mirage, 18 Sept →
13–1Biggest win · mirage, 9 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 73% over 33anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2S3324–973%0.03
mirageS1913–668%0.04
infernoS1510–567%0.01
ancientB105–550%0.00
nukeC73–443%0.01
anubisD62–433%-0.00
overpass—42–250%0.04
italy—31–233%0.03
vertigo—32–167%0.05

Across the last 100 tracked matches.

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

Faceit stats

Combat

564Matches
52%Win rate
1.07Avg K/D
83.6ADR
37%Headshot %

Clutches & streaks

57%1v1 clutch win
8%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Anubis1759%1.1718.0
Mirage1644%0.9414.9
Dust21644%0.9113.7
Ancient862%0.8215.3
Inferno540%0.8915.0
Nuke540%0.8715.6
Train333%0.7813.7
Vertigo1100%1.5018.0

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.

15.0%Headshot accuracy
33.8%Accuracy (enemy spotted)
31.8%Spray accuracy
76.9%Counter-strafing
9.5°Preaim
540msReaction time
49.5%T opening success
56.6%CT opening success
0.72Enemies flashed / flash
9.5%Flash assists
12.71HE damage / grenade
17.57Flashes / match

Recommended for you

Spend your practice time on Anubis

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 6 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage16–140.0618%12 Apr →
ancient11–130.0012%3 Apr →
inferno13–100.078%30 Mar →
dust213–9-0.0320%26 Mar →
anubis13–100.1115%24 Mar →
mirage5–130.0522%24 Mar →
nuke14–160.0210%23 Mar →
overpass9–130.0513%23 Mar →
ancient2–130.0119%23 Mar →
dust213–9-0.0519%19 Mar →
ancient15–150.0115%19 Mar →
inferno13–11-0.046%19 Mar →
inferno15–150.0012%12 Mar →
mirage13–40.135%9 Mar →
inferno13–30.0310%9 Mar →
anubis9–13-0.0416%9 Mar →
nuke3–130.0828%9 Mar →
mirage13–10.0521%9 Mar →
nuke13–100.0418%9 Mar →
dust215–15-0.0018%7 Mar →
dust213–60.0811%4 Mar →
dust213–9-0.0110%4 Mar →
inferno9–13-0.0311%2 Mar →
mirage13–50.0618%2 Mar →
dust213–70.0512%1 Mar →
nuke13–6-0.0122%24 Feb →
overpass13–70.0415%10 Feb →
nuke7–13-0.0210%27 Jan →
dust213–70.0226%21 Jan →
dust25–130.0817%21 Jan →
dust213–9-0.0114%14 Jan →
dust213–60.0215%8 Jan →
mirage8–13-0.079%28 Dec →
mirage7–13-0.0414%28 Dec →
dust213–40.0815%20 Oct →
dust25–130.0723%8 Sept →
ancient6–130.057%1 Jul →
dust213–7-0.0322%1 Jul →
inferno13–50.0516%29 Apr →
dust213–40.0217%29 Apr →
italy13–80.0514%23 Apr →
ancient13–40.0710%23 Apr →
inferno13–90.0414%22 Apr →
mirage13–11-0.0318%22 Apr →
dust28–130.0017%21 Apr →
italy9–130.0215%15 Apr →
dust26–20.0822%15 Apr →
mirage13–10.1122%13 Apr →
dust25–00.148%13 Apr →
italy8–130.0310%29 Mar →
ancient13–1-0.0136%29 Mar →
dust213–70.0718%29 Mar →
mirage13–70.018%21 Mar →
overpass13–20.0611%21 Mar →
dust213–60.1013%14 Mar →
mirage4–130.0411%1 Mar →
dust26–130.0019%27 Feb →
dust29–130.0116%20 Feb →
dust216–19-0.027%16 Feb →
anubis19–15-0.0117%12 Feb →
mirage13–30.0310%6 Feb →
inferno8–130.0511%24 Jan →
ancient13–10-0.024%12 Jan →
dust213–100.1113%7 Jan →
dust211–2-0.0122%17 Dec →
inferno13–9-0.0318%15 Dec →
inferno13–11-0.0513%8 Dec →
anubis10–13-0.0019%5 Dec →
dust212–2-0.009%2 Nov →
mirage13–60.0218%1 Nov →
mirage13–90.0415%30 Oct →
dust213–70.0320%26 Oct →
dust213–4-0.0615%22 Oct →
inferno13–50.0115%22 Oct →
inferno12–120.0220%21 Oct →
inferno13–110.049%16 Oct →
ancient13–3-0.028%16 Oct →
dust213–100.0630%16 Oct →
inferno7–13-0.0319%11 Oct →
mirage13–70.1311%11 Oct →
overpass10–130.0022%18 Sept →
mirage13–60.0821%18 Sept →
dust213–9-0.0221%18 Sept →
inferno13–9-0.0416%16 Sept →
dust213–10.0212%14 Aug →
mirage8–13-0.0433%17 Jun →
ancient10–13-0.0721%15 Jun →
mirage10–130.0411%8 Jun →
vertigo13–90.1114%8 Jun →
dust213–90.0118%5 Jun →
ancient13–90.0117%2 Jun →
anubis10–13-0.028%2 Jun →
dust211–130.0218%28 May →
vertigo10–13-0.0222%25 May →
dust211–130.0532%25 May →
anubis7–13-0.069%22 May →
mirage13–40.1021%21 May →
vertigo13–40.0715%21 May →
nuke9–13-0.0411%19 May →
nuke13–11-0.0019%19 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.