Truboch1St

Truboch1St — CS2 Stats

DO76561198875389251[U:1:915123523]Steam profile ↗✓ No bans

1,498Tracked matches64%Win rate2020Tracked since
2,705Hours in CS20Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating17,936Purple band · top ~16.7% of ranked players (population est.)
CSDB Leaderboard#97403 of 220002 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. 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. 36 days played since 3 Aug 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: 17,936 +1,129 3 Aug16 Sept · 28 days played
15,37217,936peak 17,9363 Aug16 Sept
17,936Peak Premier in tracked matches
1,353Highest Faceit ELO seen on CSDB
36Days played since 2026-08-03

Faceit ELO

  • At peak — 1,353
  • Next: Level 8 at 1,531 178 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

Premier CS Rating

  • At peak — 17,936
  • +980 over 30 days · improving
  • Next: Pink band at 20,000 2,064 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-03
  • Blue band first seen 2026-09-03

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.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches2019+1
Win rate50%37%+13pp
K/D0.961.01−0.05
Headshot %56%49%+7pp

Measured 8 Sep 202617 Sep 2026; previous 3 Sep 2026 → 8 Sep 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=34,112), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerPurple band medianPink band medianvs Pink band
Headshot rate44.4%44.3%47.0%2.6% short
Shot accuracy5.7%11.8%13.0%7.3% short
Kill/death ratio0.881.031.080.20 short
Match win rate43.2%45.2%46.7%3.5% short

This profile sits below the typical Pink band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGTruboch1StPREMIER17,936 · Purple bandPEAK ELO1,353csdb.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

Aim75
Positioning61
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY49447Last 10049%Win rateLWLLWWWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −1.9pp headshot accuracy · +61ms reaction

Win rate +10pp 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 623ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 593ms

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: Positional PlayerPositioning stands above the rest of this profile (+1 against its own average).

Aim7.5
Utility4.4
Positioning6.1
Opening Duels5.7
Clutch4.0

Limited utility dependence

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 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

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

Reaction time. 577ms 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

Aim7.5
Positioning6.1
Utility4.4
Mechanics5.1
Opening Duels6.8
Win Impact9.8

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time594ms−44ms
first ⅓ avg 638ms → last ⅓ avg 594ms
Headshot accuracy21.7%+3.5%
first ⅓ avg 18.2% → last ⅓ avg 21.7%

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 · 13–3 · dust2, 26 Aug
80%Best headshot accuracy · 3–9 · train, 16 Aug
391msFastest reaction time · 7–9 · inferno, 29 Aug
13–1Biggest win · dust2, 30 Aug

Across the last 100 tracked matches.

Highlights

8Longest win streak
108In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 71% over 7trainWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A31171455%0.02
mirageS1510567%0.01
nukeD123925%-0.01
cacheB84450%0.00
ancientS75271%0.02
trainD51420%-0.01
anubisD51420%0.01
eldorado42250%-0.02
inferno41325%-0.04
office32167%0.04
vertigo21150%0.02
poseidon2020%0.01
boulder110100%0.01
fachwerk110100%0.11

Across the last 100 tracked matches.

Lifetime stats

75,650Lifetime kills
0.88K/D
4,450Matches
43.2%Match win rate
44.4%Headshot % · Top 50% of Purple band
5.7%Shot accuracy
9,247MVPs
1,642Hours (in match)
4,433Bombs planted
675Bombs defused

Most-used weapons

AK-4722,336
AUG3,523
SG 5533,170
AWP3,085
MP93,075
MAC-102,334
MP72,176

Lifetime map wins

10,010dust2
3,172inferno
3,134nuke
2,189train
1,413vertigo
610office
298lake
194cbble

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

Faceit stats

Combat

213Matches
50%Win rate
1.04Avg K/D
84.7ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
27%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Dust27151%1.0515.6
Mirage5545%0.9715.5
Ancient2450%1.0618.4
Nuke1553%1.1816.0
Inferno1362%1.2818.5
Overpass1267%1.2221.8
Train743%1.1218.4
Anubis757%0.9316.3

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.

20.5%Headshot accuracy
37.1%Accuracy (enemy spotted)
42.2%Spray accuracy
72.8%Counter-strafing
9.9°Preaim
577msReaction time
57.0%T opening success
57.1%CT opening success
0.49Enemies flashed / flash
4.6%Flash assists
8.45HE damage / grenade
3.78Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4918 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Train

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0227%16 Sept
mirage13–60.0815%16 Sept
dust28–130.0420%15 Sept
dust23–9-0.048%12 Sept
mirage13–11-0.0016%12 Sept
boulder13–30.0128%12 Sept
nuke13–50.0425%12 Sept
dust213–70.0121%12 Sept
ancient3–13-0.0329%12 Sept
dust213–9-0.0122%11 Sept
nuke6–9-0.0621%11 Sept
dust213–80.0422%9 Sept
cache12–120.0221%9 Sept
dust27–130.0031%9 Sept
train13–20.0550%9 Sept
office13–110.0413%8 Sept
office9–130.0121%8 Sept
dust213–70.0319%7 Sept
cache11–130.0121%7 Sept
mirage13–90.0212%7 Sept
ancient12–12-0.0414%7 Sept
train11–130.0022%7 Sept
mirage13–80.0114%6 Sept
dust213–30.1313%6 Sept
vertigo13–30.0519%6 Sept
mirage11–13-0.0721%6 Sept
eldorado9–70.0438%5 Sept
poseidon8–8-0.0224%3 Sept
eldorado7–9-0.0021%3 Sept
poseidon8–80.0416%3 Sept
nuke2–9-0.1537%3 Sept
inferno8–8-0.0817%3 Sept
dust213–9-0.0321%3 Sept
mirage6–130.0517%2 Sept
dust213–10-0.0522%2 Sept
ancient13–11-0.0516%2 Sept
ancient13–100.1025%31 Aug
mirage4–13-0.0314%31 Aug
dust213–70.0318%30 Aug
dust213–10.0327%30 Aug
ancient13–90.0416%30 Aug
dust28–130.0415%30 Aug
inferno7–9-0.0614%29 Aug
mirage13–4-0.0125%29 Aug
cache13–40.0117%28 Aug
dust213–11-0.0325%28 Aug
cache13–4-0.0030%28 Aug
dust213–110.1017%27 Aug
nuke16–120.0315%27 Aug
mirage13–60.0320%26 Aug
dust213–30.1417%26 Aug
cache5–130.0231%26 Aug
inferno6–13-0.0316%25 Aug
dust210–130.0114%24 Aug
nuke5–130.0319%24 Aug
dust210–13-0.0026%22 Aug
ancient13–80.0715%22 Aug
mirage16–130.0419%21 Aug
nuke5–13-0.0612%21 Aug
anubis7–130.1226%21 Aug
dust23–13-0.049%20 Aug
nuke4–13-0.0513%19 Aug
anubis15–150.0628%19 Aug
cache16–120.0022%18 Aug
train1–130.0118%18 Aug
mirage13–100.0011%17 Aug
train3–9-0.0780%16 Aug
dust28–130.0029%15 Aug
dust213–90.0528%15 Aug
dust216–14-0.0319%13 Aug
dust28–13-0.055%13 Aug
mirage13–100.0217%12 Aug
nuke16–140.0414%12 Aug
cache8–130.019%10 Aug
train1–13-0.0410%10 Aug
office13–30.0614%10 Aug
dust25–13-0.0331%10 Aug
dust213–80.1313%10 Aug
anubis3–13-0.0815%10 Aug
mirage10–13-0.0211%9 Aug
cache13–5-0.0413%9 Aug
anubis13–110.0115%7 Aug
eldorado2–9-0.140%7 Aug
mirage13–100.0211%7 Aug
ancient13–70.0636%7 Aug
dust213–50.0619%7 Aug
nuke11–13-0.0311%7 Aug
fachwerk13–70.1118%7 Aug
dust29–130.0028%6 Aug
inferno13–70.0221%6 Aug
nuke6–13-0.0415%6 Aug
nuke8–13-0.0223%5 Aug
eldorado9–50.017%5 Aug
anubis9–13-0.0423%5 Aug
nuke12–120.1323%4 Aug
mirage11–13-0.0121%4 Aug
dust213–110.0322%4 Aug
dust27–130.0024%3 Aug
dust211–13-0.0229%3 Aug
vertigo10–13-0.0125%3 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →