Trun1eX

Trun1eX — CS2 Stats

CF76561198258148023[U:1:297882295]Steam profile ↗✓ No bans

4,687Tracked matches63%Win rate2020Tracked since
8,076Hours in CS20Hrs last 2 wks
CSDB Rating6.6 SolidOpening Duellist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (14 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,601 → 2,601
+2Tracked matches · now 4,687
0.0ppWin rate · 63.3% → 63.3%

Rating over time

Premier CS Rating: 20,368 -291 10 Jun – 15 Jun · 2 days played
20,36820,659peak 20,65910 Jun15 Jun
Faceit ELO: 2,601 +0 29 Aug – 15 Oct · 6 observations
2,6012,601peak 2,60129 Aug15 Oct
20,659Peak Premier in tracked matches
2,601Highest Faceit ELO seen on CSDB
61Days played since 2025-06-21

Faceit ELO

  • At peak — 2,601
  • 0 over 30 days · steady
  • Next: 3,000 ELO at 3,000 — 399 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-29
  • Level 10 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGTrun1eX30 DAYS0 ELOPEAK ELO2,601csdb.gg/stats

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Performance scores

Aim83
Positioning62
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY60–39–1Last 10060%Win rateLLWWLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +3.9pp headshot accuracy · −22ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 547ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 532ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 543ms

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: Opening Duellist — Winning opening duels is what stands out in this profile (+1.4 against its own average). How often you WIN the first duel — CSDB cannot yet see how often you take it.

Aim8.3
Utility4.7
Positioning6.2
Opening Duels6.6
Clutch3.2

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

s1mple

Plays most like s1mple 91% playstyle similarity

Most alike: aim profile, utility contribution.

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

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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 61% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim8.3
Positioning6.2
Utility4.7
Mechanics4.3
Opening Duels4.8
Win Impact9.4

Composite 6.6/10 (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 rating0.03+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.03
Reaction time537ms−44ms
first ⅓ avg 581ms → last ⅓ avg 537ms
Headshot accuracy16.1%−3.4%
first ⅓ avg 19.5% → last ⅓ avg 16.1%

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

0.18Best match rating · 13–3 · nuke, 16 Mar →
48%Best headshot accuracy · 13–8 · dust2, 16 Aug →
391msFastest reaction time · 13–3 · inferno, 22 Aug →
13–1Biggest win · mirage, 19 Feb →

Across the last 100 tracked matches.

Highlights

10Longest win streak
L2Current streak
12–7In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 72% over 18anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
ancientA2414–1058%0.03
nukeA1911–858%0.03
overpassS1813–572%0.02
dust2B105–550%0.02
infernoS107–370%-0.01
mirageS96–367%0.02
anubisD62–433%-0.01
train—21–150%-0.04
cache—11–0100%-0.05
italy—10–10%-0.03

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.

Lifetime stats

251,594Lifetime kills
0.84K/D
8,008Matches
48.9%Match win rate · Top 25% of tracked players
47.5%Headshot % · Top 50% of tracked players
15.1%Shot accuracy · Top 50% of tracked players
29,687MVPs
8,491Hours (in match)
8,027Bombs planted
2,865Bombs defused

Most-used weapons

AK-4778,327
AWP52,695
Knife5,155
SG 5534,358
SSG 083,337

Lifetime map wins

13,706nuke
11,364inferno
11,305vertigo
8,551dust2
3,678train
676cbble
183lake
128office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3,966Matches
52%Win rate
1.04Avg K/D
81.9ADR
36%Headshot %

Clutches & streaks

36%1v1 clutch win
23%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient53057%1.0817.2
Nuke33554%1.1517.4
Anubis26650%1.0016.4
Overpass16457%1.1418.3
Vertigo11065%1.1417.7
Dust29643%1.0116.7
Inferno8942%0.9115.3
Mirage6941%0.8814.2

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.

16.5%Headshot accuracy
41.3%Accuracy (enemy spotted)
47.0%Spray accuracy
69.1%Counter-strafing
8.7°Preaim
521msReaction time
37.0%T opening success
61.1%CT opening success
0.54Enemies flashed / flash
12.1%Flash assists
8.66HE damage / grenade
7.57Flashes / 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. 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 37.0363% — below the 40% mark we flag

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
dust26–130.0225%29 Sept →
anubis9–13-0.0213%20 Aug →
ancient13–100.0417%17 Aug →
dust213–100.0723%29 Jul →
anubis3–13-0.0010%27 Jul →
ancient13–70.0623%27 Jul →
cache13–11-0.0514%15 Jul →
ancient11–13-0.0414%15 Jul →
anubis10–130.0124%15 Jun →
ancient13–90.0620%10 Jun →
inferno5–9-0.094%2 Jun →
inferno13–100.0111%12 May →
nuke13–30.1824%16 Mar →
inferno13–80.0312%16 Mar →
mirage14–16-0.0119%15 Mar →
dust213–50.1015%4 Mar →
ancient19–170.0326%22 Feb →
nuke13–90.025%22 Feb →
ancient13–70.0113%22 Feb →
ancient16–19-0.0014%19 Feb →
mirage13–10.1414%19 Feb →
mirage13–30.0121%18 Feb →
ancient9–130.0111%18 Feb →
nuke13–160.0327%18 Feb →
ancient13–100.0312%14 Feb →
ancient6–13-0.0215%2 Feb →
mirage13–6-0.0114%27 Jan →
nuke13–80.017%26 Jan →
italy11–13-0.0320%26 Jan →
inferno13–70.0812%26 Jan →
nuke13–110.0616%26 Jan →
dust216–140.0417%25 Jan →
dust24–130.0720%25 Jan →
mirage10–130.0115%25 Jan →
ancient13–110.0217%22 Jan →
overpass15–19-0.0122%8 Jan →
nuke13–110.0219%6 Jan →
ancient17–19-0.019%2 Jan →
nuke7–13-0.0715%16 Dec →
overpass8–130.0215%15 Dec →
overpass13–11-0.079%11 Dec →
train5–13-0.0218%8 Dec →
overpass13–80.0625%8 Dec →
overpass13–40.0123%23 Nov →
overpass13–70.0511%13 Nov →
nuke16–190.0623%8 Oct →
overpass13–8-0.0127%5 Oct →
nuke13–11-0.0229%5 Oct →
overpass9–20.0740%4 Oct →
nuke11–13-0.0211%1 Oct →
ancient2–130.0217%20 Sept →
ancient16–80.0621%18 Sept →
nuke8–130.0319%11 Sept →
overpass13–110.0717%11 Sept →
overpass13–10-0.0224%10 Sept →
train13–11-0.0715%9 Sept →
ancient13–10-0.037%2 Sept →
overpass13–70.0420%2 Sept →
overpass13–80.0419%30 Aug →
overpass13–10-0.083%30 Aug →
nuke13–20.0813%30 Aug →
ancient13–100.0413%28 Aug →
nuke9–30.0717%28 Aug →
nuke8–80.0824%28 Aug →
mirage13–70.0314%24 Aug →
ancient13–40.1316%24 Aug →
nuke13–60.0513%24 Aug →
nuke13–6-0.0516%24 Aug →
inferno9–12-0.0316%22 Aug →
inferno13–3-0.018%22 Aug →
inferno13–80.0322%22 Aug →
ancient13–40.0324%21 Aug →
inferno13–9-0.0416%18 Aug →
ancient8–13-0.0221%18 Aug →
dust213–80.0148%16 Aug →
overpass13–150.0619%14 Aug →
overpass13–70.0627%13 Aug →
dust27–13-0.0635%13 Aug →
nuke3–13-0.0226%11 Aug →
overpass8–13-0.0126%10 Aug →
ancient9–130.0317%10 Aug →
mirage7–130.0121%10 Aug →
dust213–2-0.0015%10 Aug →
ancient13–60.1521%7 Aug →
dust211–13-0.0015%7 Aug →
nuke13–100.0713%7 Aug →
mirage16–130.0521%31 Jul →
overpass7–13-0.0113%26 Jul →
dust210–13-0.0314%25 Jul →
inferno13–7-0.0513%25 Jul →
ancient13–110.0314%25 Jul →
inferno9–130.0119%25 Jul →
nuke7–13-0.0618%19 Jul →
mirage13–5-0.0321%4 Jul →
anubis6–13-0.0718%4 Jul →
overpass13–10.0210%3 Jul →
ancient8–13-0.0329%3 Jul →
anubis13–2-0.0217%3 Jul →
ancient9–130.0615%2 Jul →
anubis13–110.0216%21 Jun →

Match data via Leetify.

Recent teammates

Milestones

2.5K ELO1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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